VSSlider
@IBDesignable
public class VSSlider : UIControl
Undocumented
-
Undocumented
See moreDeclaration
Swift
class InternalSlider : UISlider
-
Undocumented
Declaration
Swift
@IBInspectable public var vertical: Bool { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var ascending: Bool { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var value: Float { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var minimumValue: Float { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var maximumValue: Float { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var increment: Float { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var trackWidth: CGFloat { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var markWidth: CGFloat { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var markColor: UIColor { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var minimumTrackTintColor: UIColor? { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var maximumTrackTintColor: UIColor? { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var thumbTintColor: UIColor? { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var minimumTrackImage: UIImage? { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var maximumTrackImage: UIImage? { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var thumbImage: UIImage? { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var trackExtendsUnderThumb: Bool { get set }
-
Undocumented
Declaration
Swift
@IBInspectable public var isContinuous: Bool { get set }
-
Undocumented
Declaration
Swift
override public var isEnabled: Bool { get set }
-
Undocumented
Declaration
Swift
override public var tag: Int { get set }
-
Undocumented
Declaration
Swift
public override var semanticContentAttribute: UISemanticContentAttribute { get set }
-
Undocumented
Declaration
Swift
required public init?(coder aDecoder: NSCoder)
-
Undocumented
Declaration
Swift
required override public init(frame: CGRect)
-
Undocumented
Declaration
Swift
public func setValue(_ value: Float, animated: Bool)
-
Undocumented
Declaration
Swift
override public func layoutSubviews()
-
Undocumented
Declaration
Swift
override public var intrinsicContentSize: CGSize { get }
-
Undocumented
Declaration
Swift
override public func addTarget(_ target: Any?, action: Selector, for controlEvents: UIControl.Event)
-
Undocumented
Declaration
Swift
public override func draw(_ rect: CGRect)
-
Undocumented
Declaration
Swift
public func addTapGesture()


Suggested stops, like the infamous Pike Market and the iconic Space Needle, have been placed on the map already.
To add a stop, just click on the map. You can grab your markers and move them where ever you like!
Once you have built your tour, click the button below to send.


| Package | Description |
|---|---|
| org.fax4j |
The fax4j library, is a standard on which java based applications can communicate with
fax devices in order to submit new faxes or perform other related actions.
|
| org.fax4j.bridge |
Provides the API classes for the fax client bridge.
The fax4j bridge is used to transform applications to fax bridges for example an email server to provide email2fax functionality. |
| org.fax4j.bridge.email |
Provides the API classes for the email2fax bridge.
|
| org.fax4j.bridge.http |
Provides the API classes for a HTTP based web2fax bridge.
|
| org.fax4j.bridge.process |
Provides the API classes for a standalone process based cli2fax bridge.
|
| org.fax4j.common |
Contains common internal classes used by the fax4j library.
|
| org.fax4j.spi |
Provides the API classes for the fax client SPI.
The class/interfaces defined in this package should only be used internally by the fax4j library or by classes implemeting a new fax client SPI. |
| org.fax4j.spi.adapter |
Provides the adapter fax client SPI implementation.
|
| org.fax4j.spi.comm |
Provides the COMM port communication based fax client SPI implementation.
|
| org.fax4j.spi.email |
Provides the email based fax client SPI implementation.
|
| org.fax4j.spi.hoiio |
Provides the hoiio based fax client SPI implementation.
|
| org.fax4j.spi.http |
Provides the HTTP based fax client SPI implementation.
|
| org.fax4j.spi.hylafax |
Provides the HylaFAX fax client SPI implementation.
|
| org.fax4j.spi.interfax |
Provides the interfax based fax client SPI implementation.
|
| org.fax4j.spi.java4less |
Provides the java4less RFax fax client SPI implementation.
|
| org.fax4j.spi.mac |
Provides the native Mac fax client SPI implementation.
|
| org.fax4j.spi.phaxio |
Provides the phaxio based fax client SPI implementation.
|
| org.fax4j.spi.process |
Provides the process based fax client SPI implementation.
These implementations use external executables/scripts to invoke fax actions. |
| org.fax4j.spi.vbs |
Provides the VB script based fax client SPI implementation.
|
| org.fax4j.spi.windows |
Provides the native windows fax client SPI implementation.
|
| org.fax4j.util |
Provides general utilities used internally by the fax4j library.
|
| Class and Description |
|---|
| AbstractFaxEvent
Base class for all fax4j events.
|
| FaxClient
This is the fax client.
The fax client enables to perform activities such as sending/suspending fax jobs and so on. This is the class which will be used by external applications to invoke the actual fax related activites. To create a new instance of the fax client, you will need to invoke the FaxClientFactory.createFaxClient method. Here is a sample code that creates a new fax client and submits a new fax job: |
| FaxClientActionEvent
This class holds the fax client action event data.
|
| FaxClientActionEvent.FaxClientActionEventID
This is the fax client action event ID enum.
This enum holds all the possible event ID. |
| FaxClientActionEventListener
This interface defines the fax client action event listener.
The listener picks up events based on actions invoked on the fax client and not based on the status changes of the actual fax job. For example is a fax job is submitted via fax client, than the faxJobSubmitted event method will be invoked. However the fax job itself might still be pending transmission by the actual fax modem/server. |
| FaxJob
This interface defines the fax job.
|
| FaxJob.FaxJobPriority
This is the fax job priority enum which holds the possible fax sending priority values.
|
| FaxJobStatus
This is the fax job status enum which holds the possible fax status values.
Not all SPIs support extraction of the fax job status. In case the SPI is unable to extract or does not support extracting of the fax job status, it will return the UNKNOWN status. |
| FaxMonitorEvent
This class holds the fax monitor event data.
|
| FaxMonitorEvent.FaxMonitorEventID
This is the fax monitor event ID enum.
This enum holds all the possible event ID. |
| FaxMonitorEventListener
This interface defines the fax monitor event listener.
The listener picks up remote events based on changes done on the remote fax modem. |
| Provider
This is the provider interface.
Each SPI enables access to the SPI provider by returning an instance of this interface. |
| Class and Description |
|---|
| FaxClient
This is the fax client.
The fax client enables to perform activities such as sending/suspending fax jobs and so on. This is the class which will be used by external applications to invoke the actual fax related activites. To create a new instance of the fax client, you will need to invoke the FaxClientFactory.createFaxClient method. Here is a sample code that creates a new fax client and submits a new fax job: |
| FaxJob
This interface defines the fax job.
|
| Provider
This is the provider interface.
Each SPI enables access to the SPI provider by returning an instance of this interface. |
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Class and Description |
|---|
| FaxClientActionEventListener
This interface defines the fax client action event listener.
The listener picks up events based on actions invoked on the fax client and not based on the status changes of the actual fax job. For example is a fax job is submitted via fax client, than the faxJobSubmitted event method will be invoked. However the fax job itself might still be pending transmission by the actual fax modem/server. |
| FaxJob
This interface defines the fax job.
|
| FaxJobStatus
This is the fax job status enum which holds the possible fax status values.
Not all SPIs support extraction of the fax job status. In case the SPI is unable to extract or does not support extracting of the fax job status, it will return the UNKNOWN status. |
| FaxMonitorEventListener
This interface defines the fax monitor event listener.
The listener picks up remote events based on changes done on the remote fax modem. |
| Provider
This is the provider interface.
Each SPI enables access to the SPI provider by returning an instance of this interface. |
| Class and Description |
|---|
| FaxClientActionEvent.FaxClientActionEventID
This is the fax client action event ID enum.
This enum holds all the possible event ID. |
| FaxClientActionEventListener
This interface defines the fax client action event listener.
The listener picks up events based on actions invoked on the fax client and not based on the status changes of the actual fax job. For example is a fax job is submitted via fax client, than the faxJobSubmitted event method will be invoked. However the fax job itself might still be pending transmission by the actual fax modem/server. |
| FaxJob
This interface defines the fax job.
|
| FaxJob.FaxJobPriority
This is the fax job priority enum which holds the possible fax sending priority values.
|
| FaxJobStatus
This is the fax job status enum which holds the possible fax status values.
Not all SPIs support extraction of the fax job status. In case the SPI is unable to extract or does not support extracting of the fax job status, it will return the UNKNOWN status. |
| FaxMonitorEvent.FaxMonitorEventID
This is the fax monitor event ID enum.
This enum holds all the possible event ID. |
| FaxMonitorEventListener
This interface defines the fax monitor event listener.
The listener picks up remote events based on changes done on the remote fax modem. |
| Provider
This is the provider interface.
Each SPI enables access to the SPI provider by returning an instance of this interface. |
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| FaxJobStatus
This is the fax job status enum which holds the possible fax status values.
Not all SPIs support extraction of the fax job status. In case the SPI is unable to extract or does not support extracting of the fax job status, it will return the UNKNOWN status. |
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Provider
This is the provider interface.
Each SPI enables access to the SPI provider by returning an instance of this interface. |
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| FaxJobStatus
This is the fax job status enum which holds the possible fax status values.
Not all SPIs support extraction of the fax job status. In case the SPI is unable to extract or does not support extracting of the fax job status, it will return the UNKNOWN status. |
| Provider
This is the provider interface.
Each SPI enables access to the SPI provider by returning an instance of this interface. |
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| FaxJob.FaxJobPriority
This is the fax job priority enum which holds the possible fax sending priority values.
|
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| FaxJobStatus
This is the fax job status enum which holds the possible fax status values.
Not all SPIs support extraction of the fax job status. In case the SPI is unable to extract or does not support extracting of the fax job status, it will return the UNKNOWN status. |
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| FaxJobStatus
This is the fax job status enum which holds the possible fax status values.
Not all SPIs support extraction of the fax job status. In case the SPI is unable to extract or does not support extracting of the fax job status, it will return the UNKNOWN status. |
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| FaxJobStatus
This is the fax job status enum which holds the possible fax status values.
Not all SPIs support extraction of the fax job status. In case the SPI is unable to extract or does not support extracting of the fax job status, it will return the UNKNOWN status. |
| Class and Description |
|---|
| FaxJob
This interface defines the fax job.
|
| Provider
This is the provider interface.
Each SPI enables access to the SPI provider by returning an instance of this interface. |
Copyright © 2009–2020 fax4j. All rights reserved.


Making a Game: a Postmortem
Note: This post was originally featured on Excessive Furniture, a blog for my final project course at UCSD.
We did it!
It’s been an extremely long ten weeks. We all spent most of our time on this project (to the point where I personally didn’t go to any of my other classes’ lectures!), and even though we didn’t end up having to pull any all-nighters (save for Dexter, but those were totally of his own free will) we obviously put a lot of effort into things. Jeff has considerably more lines than us because he committed his 167 code to the repo. Elton doesn’t have many lines because he forgot to commit with his Github email :(
Now that everything has been finalized, let’s talk about the ten weeks in detail.


@* * Copyright (c) 2018, Salesforce.com, Inc. * All rights reserved. * SPDX-License-Identifier: BSD-3-Clause * For full license text, see the LICENSE.txt file in the repo root or https://opensource.org/licenses/BSD-3-Clause *@ @this(webJarsUtil: org.webjars.play.WebJarsUtil) @(title: String)(content: Html)


NEW COLLECTION
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Lorem Ipsum is simply dummy text of the printing and typesetting industry.
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Lorem Ipsum is simply dummy text of the printing and typesetting industry.
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Disclaimer: This website is for learning purposes. No products are being sold.


BTS Jungkook’s little fan goes viral for his creative selca on #ARMYSelcaDay
by dose-nelMedia has been talking about the little kid who went viral for his selca on ARSD. He's a very passionate fan of the golden maknae Jungkook and he imitates his different looks every Army Secla Day thismonth he replicated one of Jungkook’slatest selcas. BTS fans were extremely endeared by the cuteness and support exhibited by the little child.


new PaintEngine( { sketch_canvas: , sketch_files: [ ] } , paint_btn_id: , eyedrop_btn_id: , css_class_border: , palette_canvas: , palette_file: , current_color_canvas: )


The Applications 15 class made a wide assortment of videos. Rate each one from a range of 1 - 10; 1 being the best and 10 being the worst
Team 1
Team 2
Team 3
Team 4
Team 5
Team 6
Team 7
Team 8
Team 9
Team 10


Start a new search and enjoy listening
Favorites List is empty. Start filling the list by clicking heart sign


|
CubeAnimator
An animation tool for cube map to fisheye conversion.
|
Public Slots | |
| void | addVariable (CurveVariable *var) |
| void | setRulers () |
| void | handleSelection (const QItemSelection &selected, const QItemSelection &deselected) |
| void | zoom (QPointF factor, QPointF centerPoint) |
| void | setViewScale (float x, float y) |
| void | setViewScale (QPointF scale) |
| void | setSnap (float hSnap, float vSnap) |
| void | setSceneRect (QRectF rect) |
| void | curvesHaveChanged (float min, float max) |
| void | setCurrentFrame (float f) |
| void | setZoomFromSlider (int v) |
Signals | |
| void | viewScaleChanged (QPointF vScale) |
| void | curvesChanged (float min, float max) |
| void | moveFrameCursorTo (float) |
Public Member Functions | |
| CurveEditor (QWidget *parent=0) | |
| QRectF | getScaledViewRect (float scaleX, float scaleY) |
Protected Member Functions | |
| bool | eventFilter (QObject *object, QEvent *event) |
Protected Attributes | |
| bool | positiveUp |


Is the smart mailbox pilot right for you?
You should order and receive physical goods in the mail at least 5 times a month.
You should have a front yard where MailHaven can be installed.
You should be ready to make a payment of $500 to pre-order your MailHaven.
Please note, we have a limited number of units available for this pilot program. If you're interested in the smart mailbox pilot program, please fill out this brief form below.
The MailHaven unit will be delivered no later than January 15th. In the event of a delay, the amount maybe refunded or the customer may agree to wait for the unit. If a refund is issued, the customer will forfeit their ownership of the unit and their spot in the pilot program. By purchasing a MailHaven preorder, customer agrees that: 1) MailHaven unit may not work 100% of the time. 2) The MailHaven unit is a prototype and should be treated as one. 3) They will share information on the MailHaven use with the seller to help with the next iteration of the Mailhaven unit. 4) If there is any problems with theft from the MailHaven inc, we will work with the customer to reimburse them up to $200 if allegations are valid and have an accompanying police report.


General Description¶
uniAuth, as a SAML2 IDP, is based on pysaml2 and it supports:
- HTTP-REDIRECT and POST bindings;
- AuthnRequest with or without ForceAuthn;
- SLO, SAML Single Logout;
- Encrypted assertions, customizable sign/digest algorithms and, in general, it presents a good posture in terms of security regarding SAML standards.
uniAuth do not support AllowCreate NameIDPolicy, this behaviour is completely demanded to uniAuth AttributeProcessors.
Implementation specific Features¶
- Full Internazionalization support (i18n);
- Interactive Metadata Store definitions through the Admin Backend UI;
- MetadataStore supports local file (upload), local folder, remote url and MDQ service;
- Interactive ServiceProvider Federation through the Admin Backend UI;
- Customizable Template and style based on AGID guidelines;
- MetadataStore and SP validations on save, to prevent faulty configurations in production environment;
- Optional and quite granular Agreement Screen;
- Many configurable options, for every SP we can decide:
- signature and digest algorithms;
- attributes release policies;
- attribute rewrite and creation, fully configurable AttributeProcessors per SP, every aspect of attribute release can be customized from schratch;
- selectable hashing algorithm for Computed NameID;
- agreement screen message, availability, data consent form.
- Configurable log rotation through uwsgi;
- Importable StoredPersistentID for each user, for migrations from other IDP;
- An LDAP web manager with a configurable app (ldap_peoples);
- Multifactor support, as available in djangosaml2idp;
- Detailed but not huge logs.


Execute run('dom/construction/createElement') to run a benchmark. Or run() to run them all. You can also specify to only run a benchmark for a specific implementation, "jsdom" or "native": run('dom/construction', 'jsdom').
run('dom/construction/createElement')
run()
run('dom/construction', 'jsdom')


Carbohydrates are used for energy production and to build necessary cell components.
They are five or six carbons long, formed into ring structures:
These can be linked together to form chains, such as Disaccharides (two carbohydrates linked together; ie. sucrose),and also Polysaccharides (long chains like starch or cellulose)
Here is a polysaccharide:
Starch and Cellulose only differ in how the carbohydrates are linked together:
Do you know which you can digest? (Hint: cellulose is common in plants)


The As
service
Method As.SetLink
Set a link configuration from the Application Server a Network Server.
This call returns immediately after setting the link configuration; it does not wait for a link to establish.
To get link statistics or errors, use the GetLinkStats
call.
Request: SetApplicationLinkRequest
Response: ApplicationLink
PUT
/as/applications/{application_ids.application_id}/link
Method As.GetLink
Request: GetApplicationLinkRequest
Response: ApplicationLink
GET
/as/applications/{application_ids.application_id}/link
Method As.GetLinkStats
GetLinkStats returns the link statistics. This call returns a NotFound error code if there is no link for the given application identifiers. This call returns the error code of the link error if linking to a Network Server failed.
Request: ApplicationIdentifiers
Response: ApplicationLinkStats
GET
/as/applications/{application_id}/link/stats
Method As.DeleteLink
Request: ApplicationIdentifiers
Response: google.protobuf.Empty
DELETE
/as/applications/{application_id}/link
The AppAs
service
Method AppAs.DownlinkQueuePush
Request: DownlinkQueueRequest
Response: google.protobuf.Empty
POST
/as/applications/{end_device_ids.application_ids.application_id}/devices/{end_device_ids.device_id}/down/push
Method AppAs.DownlinkQueueReplace
Request: DownlinkQueueRequest
Response: google.protobuf.Empty
POST
/as/applications/{end_device_ids.application_ids.application_id}/devices/{end_device_ids.device_id}/down/replace
Method AppAs.DownlinkQueueList
Request: EndDeviceIdentifiers
Response: ApplicationDownlinks
GET
/as/applications/{application_ids.application_id}/devices/{device_id}/down
Messages
Message ApplicationDownlink
-
session_key_id
(bytes
) -
max_len
:2048
Join Server issued identifier for the session keys used by this downlink.
-
f_port
(uint32
) -
gte
:1
lte
:255
not_in
:[224]
-
f_cnt
(uint32
) -
frm_payload
(bytes
) -
decoded_payload
(google.protobuf.Struct
) -
confirmed
(bool
) -
class_b_c
(ApplicationDownlink.ClassBC
) -
Optional gateway and timing information for class B and C. If set, this downlink message will only be transmitted as class B or C downlink. If not set, this downlink message may be transmitted in class A, B and C.
-
priority
(TxSchedulePriority
) -
defined_only
Priority for scheduling the downlink message.
-
correlation_ids
(repeatedstring
) -
max_len
:100
Show object example
{
"session_key_id": "",
"f_port": 0,
"f_cnt": 0,
"frm_payload": "",
"decoded_payload": {},
"confirmed": false,
"class_b_c": {},
"priority": "LOWEST",
"correlation_ids": [],
}
Message ApplicationDownlink.ClassBC
-
gateways
(repeatedGatewayAntennaIdentifiers
) -
Possible gateway identifiers and antenna index to use for this downlink message. The Network Server selects one of these gateways for downlink, based on connectivity, signal quality, channel utilization and an available slot. If none of the gateways can be selected, the downlink message fails. If empty, a gateway and antenna is selected automatically from the gateways seen in recent uplinks.
-
absolute_time
(google.protobuf.Timestamp
) -
Absolute time when the downlink message should be transmitted. This requires the gateway to have GPS time synchronization. If the time is in the past or if there is a scheduling conflict, the downlink message fails. If null, the time is selected based on slot availability. This is recommended in class B mode.
Show object example
{
"gateways": [],
"absolute_time": "0001-01-01T00:00:00Z",
}
Message ApplicationDownlinks
-
downlinks
(repeatedApplicationDownlink
)
Show object example
{
"downlinks": [],
}
Message ApplicationIdentifiers
-
application_id
(string
) -
max_len
:36
pattern
:^[a-z0-9](?:[-]?[a-z0-9]){2,}$
Show object example
{
"application_id": "",
}
Message ApplicationLink
-
network_server_address
(string
) -
pattern
:^(?:(?:[a-zA-Z0-9]|[a-zA-Z0-9][a-zA-Z0-9\-]*[a-zA-Z0-9])\.)*(?:[A-Za-z0-9]|[A-Za-z0-9][A-Za-z0-9\-]*[A-Za-z0-9])(?::[0-9]{1,5})?$|^$
The address of the external Network Server where to link to. The typical format of the address is “host:port”. If the port is omitted, the normal port inference (with DNS lookup, otherwise defaults) is used. Leave empty when linking to a cluster Network Server.
-
api_key
(string
) -
min_len
:1
-
default_formatters
(MessagePayloadFormatters
) -
tls
(bool
) -
Enable TLS for linking to the external Network Server. For cluster-local Network Servers, the cluster’s TLS setting is used.
Show object example
{
"network_server_address": "",
"api_key": "",
"default_formatters": {},
"tls": false,
}
Message ApplicationLinkStats
Link stats as monitored by the Application Server.
-
linked_at
(google.protobuf.Timestamp
) -
network_server_address
(string
) -
pattern
:^(?:(?:[a-zA-Z0-9]|[a-zA-Z0-9][a-zA-Z0-9\-]*[a-zA-Z0-9])\.)*(?:[A-Za-z0-9]|[A-Za-z0-9][A-Za-z0-9\-]*[A-Za-z0-9])(?::[0-9]{1,5})?$|^$
-
last_up_received_at
(google.protobuf.Timestamp
) -
Timestamp when the last upstream message has been received from a Network Server. This can be a join-accept, uplink message or downlink message event.
-
up_count
(uint64
) -
Number of upstream messages received.
-
last_downlink_forwarded_at
(google.protobuf.Timestamp
) -
Timestamp when the last downlink message has been forwarded to a Network Server.
-
downlink_count
(uint64
) -
Number of downlink messages forwarded.
Show object example
{
"linked_at": "0001-01-01T00:00:00Z",
"network_server_address": "",
"last_up_received_at": "0001-01-01T00:00:00Z",
"up_count": 0,
"last_downlink_forwarded_at": "0001-01-01T00:00:00Z",
"downlink_count": 0,
}
Message DownlinkQueueRequest
-
end_device_ids
(EndDeviceIdentifiers
) -
downlinks
(repeatedApplicationDownlink
)
Show object example
{
"end_device_ids": {},
"downlinks": [],
}
Message EndDeviceIdentifiers
-
device_id
(string
) -
max_len
:36
pattern
:^[a-z0-9](?:[-]?[a-z0-9]){2,}$
-
application_ids
(ApplicationIdentifiers
) -
required
-
dev_eui
(bytes
) -
The LoRaWAN DevEUI.
-
join_eui
(bytes
) -
The LoRaWAN JoinEUI (AppEUI until LoRaWAN 1.0.3 end devices).
-
dev_addr
(bytes
) -
The LoRaWAN DevAddr.
Show object example
{
"device_id": "",
"application_ids": {},
"dev_eui": "",
"join_eui": "",
"dev_addr": "",
}
Message GatewayAntennaIdentifiers
-
gateway_ids
(GatewayIdentifiers
) -
required
-
antenna_index
(uint32
)
Show object example
{
"gateway_ids": {},
"antenna_index": 0,
}
Message GatewayIdentifiers
-
gateway_id
(string
) -
max_len
:36
pattern
:^[a-z0-9](?:[-]?[a-z0-9]){2,}$
-
eui
(bytes
) -
Secondary identifier, which can only be used in specific requests.
Show object example
{
"gateway_id": "",
"eui": "",
}
Message GetApplicationLinkRequest
-
application_ids
(ApplicationIdentifiers
) -
required
-
field_mask
(google.protobuf.FieldMask
)
Show object example
{
"application_ids": {},
"field_mask": {},
}
Message MessagePayloadFormatters
-
up_formatter
(PayloadFormatter
) -
defined_only
Payload formatter for uplink messages, must be set together with its parameter.
-
up_formatter_parameter
(string
) -
Parameter for the up_formatter, must be set together.
-
down_formatter
(PayloadFormatter
) -
defined_only
Payload formatter for downlink messages, must be set together with its parameter.
-
down_formatter_parameter
(string
) -
Parameter for the down_formatter, must be set together.
Show object example
{
"up_formatter": "FORMATTER_NONE",
"up_formatter_parameter": "",
"down_formatter": "FORMATTER_NONE",
"down_formatter_parameter": "",
}
Message SetApplicationLinkRequest
-
application_ids
(ApplicationIdentifiers
) -
required
-
link
(ApplicationLink
) -
required
-
field_mask
(google.protobuf.FieldMask
)
Show object example
{
"application_ids": {},
"link": {},
"field_mask": {},
}
Enums
Enum PayloadFormatter
| Name | Value | Description |
|---|---|---|
FORMATTER_NONE |
0 |
No payload formatter to work with raw payload only. |
FORMATTER_REPOSITORY |
1 |
Use payload formatter for the end device type from a repository. |
FORMATTER_GRPC_SERVICE |
2 |
gRPC service payload formatter. The parameter is the host:port of the service. |
FORMATTER_JAVASCRIPT |
3 |
Custom payload formatter that executes Javascript code. The parameter is a JavaScript filename. |
FORMATTER_CAYENNELPP |
4 |
CayenneLPP payload formatter. |
Enum TxSchedulePriority
| Name | Value | Description |
|---|---|---|
LOWEST |
0 |
|
LOW |
1 |
|
BELOW_NORMAL |
2 |
|
NORMAL |
3 |
|
ABOVE_NORMAL |
4 |
|
HIGH |
5 |
|
HIGHEST |
6 |


The function myFunction() is triggered when some text is selected in the input field. The function shows a message.


About Music Object Extensions
|
|
Beatnik Inc. is excited to be able to expand the Music Object API further through the use of modular extensions that do not increase the code size of the core Music Object API (Beatnik Inc. has made a commitment to freeze the size of the core Music Object API's code). Our goal is to make your life as a developer of sonified content easier, and to help you to create awesome content enhanced by the power of Beatnik's interactive music and audio capabilities.
What are Extensions?
Music Object extensions are modular JavaScript files that are geared towards different types of sonification needs. For example, Music Object Extension - Groups is ideal for making remix interfaces easier to code. And Music Object Extension - Dynamic is ideal for making sonified Web pages remain fresh and entertaining, and to encourage repeat visits.
What are the Benefits of Extensions?
- they extend the core Music Object API with higher level features useful for sonification
- they don't increase the size of the core Music Object API
- they are modular and can be used in different combinations as needed
- they add value to the Music Object sonification API
- building extensions is open to third party developers
How Does One Use Extensions?
Using the Music Object extensions is easy. Extensions are simply JavaScript files like the "music-object.js" file that can be sourced into sonified pages as needed. In the following example, Music Object Extension - Groups and Music Object Extension - Dynamic are being used...
<TITLE>Page Using Music Object Extensions</TITLE>

|
With the majority of extensions, it doesn't matter in which order you source in the extensions, as long as they are all sourced in following the "music-object.js" file, and not before it. If you source in an extension file before sourcing in "music-object.js", the extension simply will not work. This would be similar to trying to use a JavaScript function before you have defined it. In order to extend the Music Object, it first needs to be defined (which is done by sourcing it in).
In most cases, extensions have been designed to be independent of other extensions. However, there may be some exceptions to this rule, as it is possible that an extension may require some of the features of another extension in order to function correctly. To be 100% certain of the order in which extensions should be sourced in, consult the documentation for individual extensions to find out what their dependencies are. As a simple rule, if an extension depends on another extension, then that required extension should be sourced in before the extension that depends on it.
|
What Extensions are Available?
|
The Music Object extensions listed below are released and fully documented. Other exciting extensions are currently under development. In the table, each extension name is linked to the full reference for the extension.
| Extension Name |
Short Description |
| Auto Disengage |
Provides features to help alleviate the conflicts that may occur in some system configurations when the Beatnik Player and other audio players are being used together in the same Web site. |
| Callbacks |
Offers methods that allow multiple callback handlers to be registered for each callback type, letting different code modules share a Music Object instance's callbacks without overriding each others registered callbacks. Also allows handlers to be assigned to specific meta events that occur within RMF (and MIDI) files. |
| Channels |
Provides methods for more conveniently querying and modifying properties of MIDI channels. Most of these properties can be set using the core Music Object setController method, so this extension is provided primarily to ease programming. |
| Chords |
Adds instance and static methods that make it easier to play musical chords using a chord syntax that is familiar to musicians. |
| Clip |
Provides a set of services for conveniently creating a music preview system on a Web page. |
| Debug |
Adds debugging capabilities that can help in locating errors in sonified content. These debugging features were built into the core Music Object API in versions before 3.2.x, but are now being made available as an optional extension. |
| Ducking |
Provides methods for linking instances to one another and setting up automated ducking relationships - much like the ducking effect used so often in radio broadcasting. |
| Dynamic |
Offers methods that help in creating sonified Web site content that remains fresh and can hold up to repeat visits. |
| Fades |
Adds features that are useful in the design of realtime music remixing applications, such as methods for fading MIDI continuous controller values and fading playback tempo, as well as a generic fade method and a Fade object that can be used to create custom fades for any controllable musical parameters. |
| Flash |
Makes it easier to configure Web pages so that Flash movies can be sonified using the power of Beatnik's interactive music and audio capabilities. |
| Groups |
Offers methods that make it easier to program Web-based "remix" interfaces, where musical compositions are "performed" as the user switches on and switches off different parts of the music - these parts often being made up of multiple MIDI channels or tracks. |
| Group Volume |
Provides methods for conveniently adjusting the overall volume of entire groups of Music Object instances, including a sonified page's overall volume. |
| Instruments |
Offers methods that allow Web-based music applications to offer meaningful instrument names, rather than just program numbers. |
| Note Effects |
Provides methods for easily creating outrageous sound effects using just musical notes. |
| Snapshots |
Provides methods for easily capturing and restoring mix snapshots for RMF and MIDI files that are playing. |
| Song Info |
Provides additional features for displaying an RMF file's copyright information. |
| Tracing |
Provides an easy way to watch calls to methods of the Music Object API and is a very useful tool to have when debugging sonification code. |
| Wizards |
Adds methods that let you easily sonify all form elements and links on a page in a single step, without having to add JavaScript code to all the elements you wish to sonify. |
|
|
|
Building Extensions Into a Suite
|
|
If you find yourself regularly using a particular extension (or group of extensions) in all your sonified Web pages, then you may wish to consider building a Music Object suite to simplify your authoring and to make your life a little easier. For more information, consult the section Making a Custom Music Object Suite
|
Creating Your Own Extensions
|
|
If you find yourself often adding on to the Music Object API by defining your own custom functions to take care of common sonification tasks, you may wish to consider building your own custom Music Object extension. By building an extension, you can more tightly integrate your higher level sonification functions into the Music Object API in the form of instance methods and static methods. And if your extension is judged to be well implemented and of demonstrable value to sonified content developers, there is even the possibility that it could be included as part of the official set of Music Object extensions.
To develop your own extensions, you should consult the reference for the Music Object Extensibility API.


We are your one-stop solution to budgeting. By photographing a receipt or bank statement, users can see how their budget fares with fun, sharable data visualizations such as pie charts or line graphs. Working on a group project that involves reimbursements? Simply share your project, and everyone on your team will have access to the same budget. No credit card information necessary.
Do you find it hard to keep your finances in check when your cash seems to disappear with a swipe of a card? Lacking the time to jot down every single purchase you bought this week? Struggling with the consequences? You're in good company- by the time of graduation, the average American student will have racked up $47k in debt.
Instead of remembering to record every little thing you bought on your spreadsheet and potentially making calculation mistakes along the way, Opis makes budgeting fun and simple. After taking a photo of your receipt, Opis will read and upload the information onto pie charts and line graphs. By visualizing the budgeting process, users can now see exactly how much pocket money they have left for pizza this weekend by spending just a second glancing at that pie chart!
With us, know that we cannot record your credit card information. And why would we want to? Happy cusomters means happy Opis.
1. Create an account
2. Create a new project and enter in your spending goal.
3. Choose the right data visualization for you.
4. Take a photo of your receipt
5.Confirm the amount
6. That's it!
Interested? Our simple and easy features cater to people of all ages looking to start and maintain a budget. Our first prototype is slated to come out by April 2016, and we want you to be the first one to try it out! Sign up below.
Copyright @ Yada Pruksachatkun 2015


* means it's optional
|
Bits |
Property |
Explanation |
|
16 |
entity_ID |
Uniquely identifies every type of unit, projectile, bird, rock, tree, scorch mark... |
|
8 |
owner_ID |
Allows for 256 different players/controllers. |
|
8 |
animation_ID |
Allows for 256 animations. Waaay more than enough. |
|
8 |
facing_angle |
Who needs more than 256 directions to face? |
|
8 |
entity_scale |
Scale of entity. |
|
16 |
entity_x |
Convert 32 bit float to 16 bit int. Loss of accuracy acceptable. |
|
16 |
entity_y |
Convert 32 bit float to 16 bit int. Loss of accuracy acceptable. |
|
UNIT SPECIFIC |
||
|
8 |
attrib_combo |
0 = Nothing, 1 = Health, 2 = Health/Energy, 3 = Health/Shield, etc. |
|
8* |
health % |
Loss of accuracy acceptable. |
|
8* |
energy % |
Loss of accuracy acceptable. |
|
8* |
shield % |
Loss of accuracy acceptable. |
|
8* |
weapon_id |
256 different weapons |
|
8* |
role_id |
256 different roles |
|
8* |
accessory_id |
256 different accessories |
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class: center, middle, inverse, title-slide # Data objects and functions ### The R Bootcamp
Twitter:
@therbootcamp
### April 2018 --- .pull-left45[ # Objects >###"Everything in R is an object"
 >
*John Chambers*

 + R's objects are have **content** and **attributes**. <br2> + The content can be anything from **numbers** or **strings** to **functions** or **complex data structures**. <br2> + Attributes can be **names**, **dimensions**, and the **class** or type of the object, but other attributes are possible. <br2> + Practically all data objects are equipped with those three essential attributes. ] .pull-right5[

  ] --- # Vectors R's most **basic (and most simple) data format** - even single values (aka **scalars**) are implemented as vectors. .pull-left45[ ```r # creating a vector (incl. names) my_vec <- c(t_1 = 1.343, t_2 = 5.232) # naming vectors my_vec <- c(t_1 = 1.343, t_2 = 5.232) names(my_vec) <- c("new_1","new_2") # evaluting inherent attributes names(my_vec) length(my_vec) typeof(my_vec) ``` ] .pull-right5[

 ] --- # Types Vectors contains elements of only one type. Most often one of the four **basic types**: `integer`, `double`, `numeric`, and `character`. You can **test** the type using `typeof()` or the type-specific `is.*()`, e.g., `is.integer()`. .pull-left45[ ```r # numeric vectors my_vec <- c(1.343, 5.232) typeof(my_vec) ``` ``` ## [1] "double" ``` ```r # integer vectors (L avoids coercion) my_vec <- c(1L, 7L, 2L) typeof(my_vec) ``` ``` ## [1] "integer" ``` ] .pull-right45[ ```r # logical vectors my_vec <- c(TRUE, FALSE) typeof(my_vec) ``` ``` ## [1] "logical" ``` ```r # character vectors my_vec <- c('a', 'hello', 'world') typeof(my_vec) ``` ``` ## [1] "character" ``` ] --- # Coercion R allows you to **flexibly change types** into another using `as.*()`, e.g., `as.numeric` or `as.logical`, and often R does this for you. For instance, mathematical operations & functions will coerce logical to double or integer and logical operations (&, |, any, etc) will coerce to a logical. Importantly, coercion may introduce **information loss!** .pull-left45[ ```r # everything becomes character my_vec <- c(1L, 1.23, 'a', TRUE) my_vec ``` ``` ## [1] "1" "1.23" "a" "TRUE" ``` ```r # logicals become 0s and 1s TRUE + FALSE + TRUE ``` ``` ## [1] 2 ``` ``` ] .pull-right45[ ```r # logical operation -> logical type c(1, 7, 2) > 3 ``` ``` ## [1] FALSE TRUE FALSE ``` ```r # R can parse character as.numeric(c("1", "2", "TRUE")) ``` ``` ## Warning: NAs introduced by coercion ``` ``` ## [1] 1 2 NA ``` ] <!--- # Matrices & Arrays Matrices and arrays are **straightforward extensions** of vectors with 2 (matrix) or *n* dimensions. Both are **atomic** (carry only one type), have names (col-, row-, and dimnames) and dimension attributes Compared to vectors, lists, and data frames, **they usually play a lesser role in most applications**. <p align="center"><br><img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/matrix and array.png" width="682px" height="381px"></p> ---> --- # `list`s .pull-left45[ + Lists are R's **swiss army knife**. They often are used for outputs of statistical functions e.g., `lm()`. + Lists have **non-flat** structures that take **any object type**, including lists, rendering lists **recursive**. + Lists can be understood as a **meta-vector** that includes an **organizational layer**. + To create a list use `list()` or `as.list()` ] .pull-right45[ <p align="center"><img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/list.png" width="581px" height="307px"></p> ] --- # `data_frame`s .pull-left45[ * Data frames (and its variants, e.g., **tibble**s) are R's **main data format**. * **Data frames are lists** with specific **requirements**: + Every element must be a vector. + The lengths of the vectors must be equal (or multiples of another). * Use `data_frame()` and `as_data_frame` to create or to coerce to data frame, to `tibble` to be exact. ] .pull-right45[ <p align="center"><img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/data.frame.png" width="409px" height="266px"></p> ] --- # Inspecting `data_frame`s Data frames (or `tibbles`) can be inspecting in various ways. - `print()` - shows the default print (good with `tibbles`, bad with everything else) - `head()`,`tail()` - prints the first/last six rows - `str()` - gives an overview of the variables - `View()` - opens Excel-like window <br><br> ``` ## # A tibble: 1,000 x 17 ## id sex age height weight headband college tattoos tchests parrots ## * <int> <chr> <dbl> <dbl> <dbl> <chr> <chr> <dbl> <dbl> <dbl> ## 1 1 male 28. 173. 70.5 yes JSSFP 9. 0. 0. ## 2 2 male 31. 209. 106. yes JSSFP 9. 11. 0. ## 3 3 male 26. 170. 77.1 yes CCCC 10. 10. 1. ## 4 4 female 31. 144. 58.5 no JSSFP 2. 0. 2. ## 5 5 female 41. 158. 58.4 yes JSSFP 9. 6. 4. ## 6 6 male 26. 190. 85.4 yes CCCC 7. 19. 0. ## 7 7 female 31. 158. 59.6 yes JSSFP 9. 1. 7. ## 8 8 female 31. 173. 74.5 yes JSSFP 5. 13. 7. ## # ... with 992 more rows, and 7 more variables: favorite.pirate <chr>, ## # sword.type <chr>, eyepatch <dbl>, sword.time <dbl>, beard.length <dbl>, ## # fav.pixar <chr>, grogg <dbl> ``` <!--- .pull-left35[ # Data objects <br> + Objects either contain elements of the **same type** (homogeneous) or **different types** (heterogeneous). <br2> + Homogeneous objects are always **flat**, i.e., contain no nested structure. <br2> + Lists can contain anything, even lists (**recursive**), whereas data frames underly certain restrictions in terms of type and dimensions. ] .pull-right55[ <br><br><br><br><br> <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/objects_types.png" align="left" width="629" height="374"> ] ---> --- # Accessing & changing vectors To access (aka **subset** or **slicing**) and change atomic data objects use **brackets** `[]` and provide either **integers**, **logicals**, or **names** to indicate the relevant vector content. To change content, assign new content of matching size to subset using ´<-´. .pull-left45[ ```r # retrieve second element from vector my_vec <- c('A', 'B', 'C') my_vec[2] ``` ``` ## [1] "B" ``` ```r # change the second element my_vec[2] <- 'D' my_vec ``` ``` ## [1] "A" "D" "C" ``` ] .pull-right45[ ```r # Use logical comparison to access vector my_vec[my_vec != 'A'] ``` ``` ## [1] "D" "C" ``` ```r # Change vector using logical comparison my_vec[my_vec != 'A'] <- c('E', 'F') my_vec ``` ``` ## [1] "A" "E" "F" ``` ] --- # Accessing & changing data frames (and lists) Data frames (and lists) are best accessed using **names** and the `$`-operator. This, of course, implies that you followed good practice and named the individual elements in the data object. ```r # define data frame my_df <- data_frame('v_1' = c('A', 'B'), 'v_2' = c(1, 2)) ``` .pull-left45[ ```r # One bad, two correct ways to subset my_df[1] ; my_df[[1]] ; my_df[['v_1']] ``` ``` ## # A tibble: 2 x 1 ## v_1 ## <chr> ## 1 A ## 2 B ``` ``` ## [1] "A" "B" ``` ``` ## [1] "A" "B" ``` ] .pull-right45[ ```r # Best use $-operator to access my_df$v_1 ``` ``` ## [1] "A" "B" ``` ```r # and change my_df$v_1 <- c('Y', 'Z') my_df$v_1 ``` ``` ## [1] "Y" "Z" ``` ] <!--- .pull-left45[ ```r # retrieve element 'a' from vector my_vec <- c(a = 1, b = 4, c = 5) my_vec['a'] ``` ``` ## a ## 1 ``` ```r # change the element my_vec['c'] <- 'D' # change beyond length(my_vec) my_vec['d'] <- 1 ; my_vec ``` ``` ## a b c d ## "1" "4" "D" "1" ``` ] .pull-right45[ ```r # create matrix my_mat <- matrix(c(1:6), nrow=2) colnames(my_mat) <- c('v_1','v_2','v_3') rownames(my_mat) <- c('c_1','c_2') # retrieve second row from matrix my_mat['c_1', ] ; my_mat['c_1', 'v_2'] ``` ``` ## v_1 v_2 v_3 ## 1 3 5 ``` ``` ## [1] 3 ``` ] # Accessing & changing **complex** objects pt. 1 In accessing and changing complex objects the additional `list`-layer needs to be taken into account. Single brackets `[` will select elements within the list, not the object behind those elements. To select the object behind the element use **double brackets** '[['. Additionaly, complex objects can be conveniently accessed using the **dollor operator `$`**. In order to further descend into the `list`'s structur append **multiple select operators**, e.g., `my_list[[1]][[2]]`. .pull-left45[ ```r # retrieve elements from list my_list <- list('A'=c('A','B'), 'B'=list(c(1,2,3), c(TRUE,FALSE,TRUE))) my_list[1] ; my_list[[1]] ; my_list[['A']] ``` ``` ## $A ## [1] "A" "B" ``` ``` ## [1] "A" "B" ``` ``` ## [1] "A" "B" ``` ] .pull-right45[ ```r # retrieve deep elements in list my_list <- list('A'=c('A','B'), 'B'=list(c(1,2,3), c(TRUE,FALSE,TRUE))) my_list[[2]][1] ; my_list[[2]][[1]] # etc ``` ``` ## [[1]] ## [1] 1 2 3 ``` ``` ## [1] 1 2 3 ``` ] # Accessing & changing **complex** objects pt. 2 Data frames can be accessed **exactly like lists**. In addition, data frames allow for a matrix-like access using **single bracket** `[`. Note however that selecting rows using single bracket returns a data frame, whereas for selecting columns returns a vector. .pull-left45[ ```r # retrieve elements from list my_df <- data.frame('v_1'=c('A','B','C'), 'v_2'=c(1,2,3)) my_df[1] ; my_df[[1]] ; my_df[['v_1']] ``` ``` ## v_1 ## 1 A ## 2 B ## 3 C ``` ``` ## [1] A B C ## Levels: A B C ``` ``` ## [1] A B C ## Levels: A B C ``` ] .pull-right45[ ```r # retrieve elements from list my_df <- data.frame('v_1'=c('A','B','C'), 'v_2'=c(1,2,3)) my_df[1,] ; my_df[,1] ; my_df[1,2] ``` ``` ## v_1 v_2 ## 1 A 1 ``` ``` ## [1] A B C ## Levels: A B C ``` ``` ## [1] 1 ``` ] ---> --- # Functions Functions are objects that conduct operations on objects using objects. Functions have 3 elements: + **Name**: Used to call (execute) the function. + **Argument(s)**: Objects that the function needs to do its job. May have *default arguments*. + **Expression**: R code that does the job. .pull-left5[ ```r # Defining a function that computes # the mean or median my_stat <- function(x, method = 'mean'){ # detect and run method if(method == "mean") return(mean(x)) if(method == "median") return(median(x)) } # Define object my_vec <- c(1, 4, 6, 3, 7, 5, 12, 9) ``` ] .pull-right45[ ```r # Runnning our functions mean(x = my_vec) ``` ``` ## [1] 5.875 ``` ```r my_stat(x = my_vec, method = 'mean') ``` ``` ## [1] 5.875 ``` ```r my_stat(x = my_vec, method = 'median') ``` ``` ## [1] 5.5 ``` ] --- # Help .pull-left5[ **help files** (and **vignettes**) are very useful. Pay attention to... - `Usage` - shows function's use, its arguments and their defaults. - `Arguments` - explains arguments, and their `type`/`class` - `Value` - explains what the function returns - `Examples` - ```r # To access help files ?name_of_function # search help files ??name_of_function ``` ] .pull-right45[ <p align="center"><img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/mean_help.png" width="500"></p> <!--- <br><br><iframe src="http://stat.ethz.ch/R-manual/R-devel/library/base/html/mean.html" height="510" width="800" align="center"></iframe> ---> ] --- # Factors Factors are a special case of vector that can contain only **predifined values** so-called `levels`. Factors are **rarely useful** and sometimes **dangerous**, yet R will often coerce `character` to `factor`. Modern packages, include those included in the `tidyverse` tend to avoid factors. Otherwise R can be told excplicitly to avoid factors using `options(stringsAsFactors = FALSE)`. .pull-left45[ ```r # create a factor my_fact <- factor(c('A','B','C')) my_fact ``` ``` ## [1] A B C ## Levels: A B C ``` ```r # test type typeof(my_fact) ``` ``` ## [1] "integer" ``` ] .pull-right45[ ```r # dangerous behavior of factors pt. 1 my_fact <- factor(c('A','B','C')) mean(as.integer(my_fact)) ``` ``` ## [1] 2 ``` ```r # dangerous behavior of factors pt. 2 my_fact <- factor(c(1.32,4.52,.23)) as.numeric(my_fact) # ranks ``` ``` ## [1] 2 3 1 ``` ] --- # Object algebra R has implementations of most operations of **vector and matrix algebra** and it is often desirable to make use of them to improve speed. - .pull-left45[ ```r # create objects my_mat <- matrix(1:9, ncol=3) my_vec <- c(1:3) # object times scale (also a vector) my_mat * 5 ; my_vec * 5 ``` ``` ## [,1] [,2] [,3] ## [1,] 5 20 35 ## [2,] 10 25 40 ## [3,] 15 30 45 ``` ``` ## [1] 5 10 15 ``` ] .pull-right45[ ```r # create objects my_mat <- matrix(1:9, ncol=3) my_vec <- c(1:3) # matrix multiplication my_vec %*% my_mat ``` ``` ## [,1] [,2] [,3] ## [1,] 14 32 50 ``` ] --- # Practical
Link to practical


MockDiscoveryPeerEndpoint contains information about a Discover peer endpoint
type MockDiscoveryPeerEndpoint struct { MSPID string Endpoint string LedgerHeight uint64 }
MockDiscoveryServer is a mock Discovery server
type MockDiscoveryServer struct {
// contains filtered or unexported fields
}
func NewServer(opts ...MockDiscoveryServerOpt) *MockDiscoveryServer
NewServer returns a new MockDiscoveryServer
func (s *MockDiscoveryServer) Discover(ctx context.Context, request *discovery.SignedRequest) (*discovery.Response, error)
Discover Processes the given Discovery request and returns a mock response
MockDiscoveryServerOpt is an option for the MockDiscoveryServer
type MockDiscoveryServerOpt func(s *MockDiscoveryServer)
func WithLocalPeers(peers ...*MockDiscoveryPeerEndpoint) MockDiscoveryServerOpt
WithLocalPeers adds a set of mock peers to the MockDiscoveryServer
func WithPeers(peers ...*MockDiscoveryPeerEndpoint) MockDiscoveryServerOpt
WithPeers adds a set of mock peers to the MockDiscoveryServer


Master Terry:
Why are you still here? You must go to the eastern Execution Grounds and catch the
Neer Ghoul Berserker
among the flock of Neer Crawlers.
Search him and bring back to me anything that you find.


{% include "includes/phase_banner_alpha.html" %}
{% include "includes/breadcrumbs.html" %}
{% include "includes/entity_header.html" %}
{% include "includes/sub_nav.html" %}
{% if newReduction %}
You have successfully added a new reduction
{% endif %}
Add a reduction
Active reductions
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Hours |
Start date |
End date |
|
{% if newReduction %}
| {{ newReduction.reason }} |
{{ newReduction.hours }} |
{{ newReduction.startDate }} |
{{ newReduction.endDate }} |
View this reduction |
{% endif %}
| Other paid leave |
7 |
28 June 17 |
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View this reduction |
Scheduled reductions
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{% endblock %}


Feeling down, feeling depressed, feeling like you need to talk with someone, similar in your position?

PLEASE DO NOT POST DRUG RELATED OR ILLEGAL ISSUES THAT WILL HURT YOU OR OTHERS, OUR APP WILL BE AVAILABLE SOON FOR ANONOMOUS USE. THANK YOU:}}..


General-purpose tool for variant evaluation (% in dbSNP, genotype concordance, Ti/Tv ratios, and a lot more)
Given a variant callset, it is common to calculate various quality control metrics. These metrics include the number of raw or filtered SNP counts; ratio of transition mutations to transversions; concordance of a particular sample's calls to a genotyping chip; number of singletons per sample; etc. Furthermore, it is often useful to stratify these metrics by various criteria like functional class (missense, nonsense, silent), whether the site is CpG site, the amino acid degeneracy of the site, etc. VariantEval facilitates these calculations in two ways: by providing several built-in evaluation and stratification modules, and by providing a framework that permits the easy development of new evaluation and stratification modules.
One or more variant sets to evaluate plus any number of comparison sets.
Evaluation tables detailing the results of the eval modules which were applied. For example:
output.eval.grp: ##:GATKReport.v0.1 CountVariants : Counts different classes of variants in the sample CountVariants CompRod CpG EvalRod JexlExpression Novelty nProcessedLoci nCalledLoci nRefLoci nVariantLoci variantRate ... CountVariants dbsnp CpG eval none all 65900028 135770 0 135770 0.00206024 ... CountVariants dbsnp CpG eval none known 65900028 47068 0 47068 0.00071423 ... CountVariants dbsnp CpG eval none novel 65900028 88702 0 88702 0.00134601 ... CountVariants dbsnp all eval none all 65900028 330818 0 330818 0.00502000 ... CountVariants dbsnp all eval none known 65900028 120685 0 120685 0.00183133 ... CountVariants dbsnp all eval none novel 65900028 210133 0 210133 0.00318866 ... CountVariants dbsnp non_CpG eval none all 65900028 195048 0 195048 0.00295976 ... CountVariants dbsnp non_CpG eval none known 65900028 73617 0 73617 0.00111710 ... CountVariants dbsnp non_CpG eval none novel 65900028 121431 0 121431 0.00184265 ... ...
java -jar GenomeAnalysisTK.jar \ -T VariantEval \ -R reference.fasta \ -o output.eval.grp \ --eval:set1 set1.vcf \ --eval:set2 set2.vcf \ [--comp comp.vcf]Count Mendelian violations for each family in a callset with multiple families (and provided pedigree)
Java -jar GenomeAnalysisTK.jar \ -T VariantEval \ -R reference.fasta \ -o output.MVs.byFamily.table \ --eval multiFamilyCallset.vcf \ -noEV -noST \ -ST Family \ -EV MendelianViolationEvaluator
Some stratifications and evaluators are incompatible with each other due to their respective memory requirements, such as AlleleCount and VariantSummary, or Sample and VariantSummary. If you specify such a combination, the program will output an error message and ask you to disable one of these options. We do not currently provide an exhaustive list of incompatible combinations, so we recommend trying out combinations that you are interested in on a dummy command line, to rapidly ascertain whether it will work or not.
These Read Filters are automatically applied to the data by the Engine before processing by VariantEval.
This tool can be run in multi-threaded mode using this option.
This tool uses a sliding window on the reference.
All tools inherit arguments from the GATK Engine' "CommandLineGATK" argument collection, which can be used to modify various aspects of the tool's function. For example, the -L argument directs the GATK engine to restrict processing to specific genomic intervals; or the -rf argument allows you to apply certain read filters to exclude some of the data from the analysis.
This table summarizes the command-line arguments that are specific to this tool. For more details on each argument, see the list further down below the table or click on an argument name to jump directly to that entry in the list.
| Argument name(s) | Default value | Summary | |
|---|---|---|---|
| Required Inputs | |||
| --eval |
NA | Input evaluation file(s) | |
| Optional Inputs | |||
| --comp |
NA | Input comparison file(s) | |
| --dbsnp -D |
NA | dbSNP file | |
| --goldStandard -gold |
NA | Evaluations that count calls at sites of true variation (e.g., indel calls) will use this argument as their gold standard for comparison | |
| --knownCNVs |
NA | File containing tribble-readable features describing a known list of copy number variants | |
| --stratIntervals |
NA | File containing tribble-readable features for the IntervalStratificiation | |
| Optional Outputs | |||
| --out -o |
NA | An output file created by the walker. Will overwrite contents if file exists | |
| Optional Parameters | |||
| --ancestralAlignments -aa |
NA | Fasta file with ancestral alleles | |
| --evalModule -EV |
NA | One or more specific eval modules to apply to the eval track(s) (in addition to the standard modules, unless -noEV is specified) | |
| --known_names -knownName |
NA | Name of ROD bindings containing variant sites that should be treated as known when splitting eval rods into known and novel subsets | |
| --mendelianViolationQualThreshold -mvq |
50.0 | Minimum genotype QUAL score for each trio member required to accept a site as a violation. Default is 50. | |
| --minPhaseQuality -mpq |
10.0 | Minimum phasing quality | |
| --sample -sn |
NA | Derive eval and comp contexts using only these sample genotypes, when genotypes are available in the original context | |
| --samplePloidy -ploidy |
2 | Per-sample ploidy (number of chromosomes per sample) | |
| --select_exps -select |
NA | One or more stratifications to use when evaluating the data | |
| --select_names -selectName |
NA | Names to use for the list of stratifications (must be a 1-to-1 mapping) | |
| --stratificationModule -ST |
NA | One or more specific stratification modules to apply to the eval track(s) (in addition to the standard stratifications, unless -noS is specified) | |
| Optional Flags | |||
| --doNotUseAllStandardModules -noEV |
NA | Do not use the standard modules by default (instead, only those that are specified with the -EV option) | |
| --doNotUseAllStandardStratifications -noST |
NA | Do not use the standard stratification modules by default (instead, only those that are specified with the -S option) | |
| --keepAC0 |
NA | If provided, modules that track polymorphic sites will not require that a site have AC > 0 when the input eval has genotypes | |
| --list -ls |
NA | List the available eval modules and exit | |
| --mergeEvals |
NA | If provided, all -eval tracks will be merged into a single eval track | |
| --requireStrictAlleleMatch -strict |
NA | If provided only comp and eval tracks with exactly matching reference and alternate alleles will be counted as overlapping |
Arguments in this list are specific to this tool. Keep in mind that other arguments are available that are shared with other tools (e.g. command-line GATK arguments); see Inherited arguments above.
Fasta file with ancestral alleles
File
Input comparison file(s)
The variant file(s) to compare against.
--comp binds reference ordered data. This argument supports ROD files of the following types: BCF2, VCF, VCF3
List[RodBinding[VariantContext]]
dbSNP file
dbSNP comparison VCF. By default, the dbSNP file is used to specify the set of "known" variants.
Other sets can be specified with the -knownName (--known_names) argument.
--dbsnp binds reference ordered data. This argument supports ROD files of the following types: BCF2, VCF, VCF3
RodBinding[VariantContext]
Do not use the standard modules by default (instead, only those that are specified with the -EV option)
Boolean
Do not use the standard stratification modules by default (instead, only those that are specified with the -S option)
Boolean
Input evaluation file(s)
The variant file(s) to evaluate.
--eval binds reference ordered data. This argument supports ROD files of the following types: BCF2, VCF, VCF3
R List[RodBinding[VariantContext]]
One or more specific eval modules to apply to the eval track(s) (in addition to the standard modules, unless -noEV is specified)
See the -list argument to view available modules.
String[]
Evaluations that count calls at sites of true variation (e.g., indel calls) will use this argument as their gold standard for comparison
Some analyses want to count overlap not with dbSNP (which is in general very open) but
actually want to itemize their overlap specifically with a set of gold standard sites
such as HapMap, OMNI, or the gold standard indels. This argument provides a mechanism
for communicating which file to use
--goldStandard binds reference ordered data. This argument supports ROD files of the following types: BCF2, VCF, VCF3
RodBinding[VariantContext]
If provided, modules that track polymorphic sites will not require that a site have AC > 0 when the input eval has genotypes
boolean
Name of ROD bindings containing variant sites that should be treated as known when splitting eval rods into known and novel subsets
List of rod tracks to be used for specifying "known" variants other than dbSNP.
HashSet[String]
File containing tribble-readable features describing a known list of copy number variants
File containing tribble-readable features containing known CNVs. For use with VariantSummary table.
IntervalBinding[Feature]
List the available eval modules and exit
Note that the --list argument requires a fully resolved and correct command-line to work.
Boolean
Minimum genotype QUAL score for each trio member required to accept a site as a violation. Default is 50.
double [ [ -∞ ∞ ] ]
If provided, all -eval tracks will be merged into a single eval track
If true, VariantEval will treat -eval 1 -eval 2 as separate tracks from the same underlying
variant set, and evaluate the union of the results. Useful when you want to do -eval chr1.vcf -eval chr2.vcf etc.
boolean
Minimum phasing quality
double [ [ -∞ ∞ ] ]
An output file created by the walker. Will overwrite contents if file exists
PrintStream
If provided only comp and eval tracks with exactly matching reference and alternate alleles will be counted as overlapping
boolean
Derive eval and comp contexts using only these sample genotypes, when genotypes are available in the original context
Set[String]
Per-sample ploidy (number of chromosomes per sample)
int [ [ -∞ ∞ ] ]
One or more stratifications to use when evaluating the data
ArrayList[String]
Names to use for the list of stratifications (must be a 1-to-1 mapping)
ArrayList[String]
One or more specific stratification modules to apply to the eval track(s) (in addition to the standard stratifications, unless -noS is specified)
String[]
File containing tribble-readable features for the IntervalStratificiation
File containing tribble-readable features for the IntervalStratificiation
IntervalBinding[Feature]


jquery.dropdown
Example page
Or you can check the
annotated source code
.
Simple usage
The Matrix
The Matrix Reloaded
The Matrix Revolution
Fade effect
The Matrix
The Matrix Reloaded
The Matrix Revolution
Custom class
The Matrix
The Matrix Reloaded
The Matrix Revolution
The style displayed here is not shipped with the plugin.
© 2011 Lucas Mazza / MIT License


Team Name: r/R
https://github.com/mythrilman/CS-3250_Project
Github Repository:This project will examine the effects of “15 minutes of fame” by attempting to survey the impact of crowds and popularity on smaller communities. Reddit will be used as a source of date. Wikipedia calls Reddit “an online bulletin board system”. According to Mashable, Reddit is an online message board where users post information and submit links. These posts are then up voted if they are liked or down voted if they are disliked. The intention being popular posts rise to the more visible top, while unpopular posts sink to the less noticed bottom. A post’s “points”, or popularity value, is also weighted by time. The resulting effect being that the longer a post exists the more difficulty it will have in remaining high in the popularity rankings.
Who Uses Reddit?
Reddit has a diverse following. According to Reddit’s own statistics over two hundred million people visit the sight monthly from over 217 countries. An interesting fact considering that there are only 196 countries according to WorldAtlas.com. However, Google found the average user to be a United States male ranging in age from 18 to 29. The users of Reddit have intentions that are just as diverse minded as its followers, with uses ranging from entertainment, access to news, and of course the collection or proliferation of adult content.
Data Collection
For our purposes, there are three measures of popularity on Reddit. The first is the number of subscribers to a themed message board, or “subreddit” as they are called. This number provides an idea of how many users follow this subreddit on a regular basis. The larger the number of followers the more popular a subreddit is. Next, the number of current viewers tells how many users are presently viewing a subreddit. Current viewers can be subscribers or not. The number of present viewers tells the popularity of the subreddit at that very moment. Finally, the number of points a post has is an indication of its current popularity. Since a posts point score is tied to it’s up and down votes it is not merely a count of how many people have viewed it but of how well it is liked, or disliked These measures of popularity will be harvested from Reddit in the form of strings of text and numbers. Python scripts will be a likely source for collecting, formatting and managing the data. R will be used to analyze the resulting collections. Data collection will be done periodically from a selection of subreddits, some popular some not. Data collection will also follow trending subreddits.
Questions
The collected data will reveal movements of users from the main page and their effect on the popularity of the subreddits they move through. Questions such as: How do crowds affect the popularity of subreddits? Is the influx of views long lasting or short lived? How does fleeting popularity, a sudden increase of present viewers, relate to subscribers and the average number of comments per post on a subreddit that gets new prominence on the front page.


Dumbbell plots can be used to show differences between two groups. Bob Rudis demonstrated a beautiful application of such plots using ggplot2 board methods.
In this plot, I will explain or comment his code, and adapt a few changes.
First, load some packages.
pacman::p_load(tidyverse, ggalt)
Let’s make up some data. Tip: Make up some data conveniently in Excel, copy it to the clipboard, and then paste it as tribble (see below) into R. For the last step, there is this RStudio Add-in available “Dataset Loads”. Then use the menu item “Paste as Tribble”.
This procedure will result in a data frame like this:
d <- tibble::tribble(
~country, ~last_year, ~this_year,
"Region A", 0.37, 0.82,
"Region B", 0.41, 0.84,
"Region D", 0.44, 0.79,
"Region E", 0.52, 0.87,
"Region F", 0.58, 0.92,
"Region C", 0.47, 0.79,
"Region G", 0.63, 0.92,
"Region J", 0.55, 0.86,
"Region H", 0.47, 0.76,
"Region I", 0.94, 0.72
)
Let’s add the difference between last year and this year as an extra column, in case we may need it later…
d %>%
mutate(diff = this_year - last_year) -> d
In order to convince ggplot to plot the qualitative categories of country
in the right order, better change them to type factor:
d$country <- factor(d$country, levels = rev(d$country))
We rev()
erse the levels, so that the last category is a the intercept, and the first category is at the end of the axis, ie., on top of the diagram. See the diagram to better understand this cryptic explanation.
Now let’s build up the plot:
d %>%
ggplot() +
geom_dumbbell(aes(y = country,
x = last_year, xend = this_year),
colour = "grey60", size = 5,
colour_x = "#F7BC08", colour_xend = "#395B74") -> gg1
gg1
The workhorse is, obviously, geom_dumbbell()
; its parameters are the starting point (x
), and the end point of the dumbbell (xend
), as well as the grouping variable name (y
). In addition, colors can be specified.
Now, some aesthetic choices. Let’s use a clean white background, and provide some type horizontal grid line using geom_segment
gg1 + theme_minimal() -> gg2
gg2
Now, some decoration.
gg2 + geom_text(data = filter(d, country == "Region A"),
aes(x = this_year, y = country),
label = "This year", fontface = "bold",
color = "#395B74",
vjust = -2) +
geom_text(data = filter(d, country == "Region A"),
aes(x = last_year, y = country),
label = "Last year", fontface = "bold",
color = "#F7BC08",
vjust = -2) +
labs(x = "Satisfaction level",
y = "",
title = "Customer Satisfaction") +
theme(title = element_text(size = rel(1.4)))-> gg3
gg3
Now let’s adjust the axes.
gg3 +
scale_x_continuous(expand = c(0,0.1),
labels = scales::percent,
breaks = c(0.25, 5., .75, 1)) +
coord_cartesian(xlim = c(.2, 1.2)) -> gg4
gg4
Finally, let’s add the change or difference value to the right of the plot.
gg4 +
geom_text(aes(y = country, label = diff),
x = 1.2, hjust = 1) +
annotate(x = 1.2, y = "Region A", label = "Diff",
geom = "text", vjust = -2,
fontface = "bold",
hjust = 1) -> gg5
gg5
Oh, finally-finally, let’s highlight “interesting” groups, ie., where the change is negative.
gg5 +
annotate(geom = "rect",
xmin = .25,
xmax = 1,
ymin = as.numeric(d$country[d$country =="Region I"]) - 0.3,
ymax = as.numeric(d$country[d$country =="Region I"]) + 0.3,
alpha = .3,
fill = "firebrick")


Search Bundle by Name:
Search
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some price here
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some price here
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User settings
Monday first day of the week?
Hide weekend?
Disable sound?
AM/PM format?
{% if user %}
Work day start hour?
{% for i in range(24) %}
{{ i }}
{% end %}
{% end %}
{{ xsrf_form_html() }}


{% extends 'base_template.html'%} {%block content%}
searched value is : [[searched_results]]
Filtered value is: [[filtered_results]]


Are you unsure about any details that you need further clarification? Check out our FAQ page to see if you get any answers, if the issue persists, you can contact us through our email at<EMAIL_ADDRESS>or through the contact form below. Don't hesitate to ask us any questions as we are open to criticism and suggestions to make your experience better.


INSPIRATION
Design Intent: to create a multidimensional polyphonic vocoder -- multidimensional in that it allows various (both physical and virtual) degrees of expression, and polyphonic in that it allows for more than one pitch so that harmonically complex songs are playable.
Above all, the Exocoder looks to add a physical element to electronic music performance.
EXPLORATION
Sketching, Ideation, Lateral Thinking
TECHNICAL FOUNDATIONS
I created a handheld midi controller to familiarize myself with technical aspects of my project including circuitry, MIDI, and Arduino.
After using the Arduino Teensy for my MidiBox, I decided to use an Espressif ESP32 board for my final project primarily due to its wireless Wifi capabilities.
PROTOTYPING
I was determined to create a device that was both comfortable and playable. During prototyping, I quickly realized that the platform needed to be slanted inward to account for the asymmetrical nature of hands, and that the buttons needed to be arced to account for the relative lengths of fingers.
ASSEMBLY
Woodworking, Laser Cutting, Soldering, Circuitry
PROGRAMMING
The bulk of my programming was in the strongly-timed audio language ChucK, which allowed me to alter pitches using a Fast Fourier Transform and create compelling soundscapes with various effects and ugens.
Data was read from the device using Arduino and sent to ChucK as MIDI signals containing frequency and amplitude values. A Gametrak string attached to each arm allows the user to control parameters via the distance between each hand -- volume (x), filter sweeping (y), vibrato (z).
Check out the full code in my Exocoder Github Repository.


TeamWork:
Keller Williams was designed to reward agents for working together. Based on the belief
that we are all more successful
if we strive toward a common goal rather than our individual interests, we're confident that every Keller
Williams
professional shares the vision of serving our clients at the very highest level possible.
Knowledge:
We stay ahead of trends in the real estate industry through our comprehensive, industry-leading training
curriculum and
research resources. It's what prepares our team to provide you with unparalleled service.
Reliability:
Founded on the principles of trust and honesty, Keller Williams emphasizes the importance of having the
integrity to do
the right thing, always putting your needs first. We firmly believe that our success is ultimately
determined by the
legacy we leave with each client we serve.
Track Record:
We're proud to be affiliated with one of the largest real estate organizations in the world! The strong
growth of Keller
Williams is proof that when you offer a superior level of service, word spreads fast.
Our agents are on a different level because they are constantly trained, coached, assisted, motivated and
most of all
APPRECIATED!
Leading-edge tech tools and training give us the advantage in effectively finding the perfect home for you!
We love helping buyers find their dream home! That's why we work with each client individually, taking the time to understand their unique lifestyles, needs and wishes.
When You Work With Us, You Get:
A knowledgeable and professional real estate agent.
A committed ally to negotiate on your behalf.
The systems in place to streamline buying your home.
The backing of a trusted company, Keller Williams.
We Commit to Helping You With Your Home Search By:
Previewing homes in advance on your behalf.
Personally touring homes and neighborhoods with you.
Keeping you informed of new homes on the market.
Helping you preview homes on the Web.
Advising you of other homes that have sold and for how much.
Working with you until we find the home of your dreams.
Gary Keller is an American entrepreneur and best-selling author. He is the founder of Keller Williams, which is the largest real estate company in the world by agent count, closed sales volume, and units sold. [1] Keller founded Keller Williams on training and education and later brought his teachings to print. His books include The Millionaire Real Estate Agent, The Real Estate Investor, and The ONE Thing. He is the current CEO and Chairman of the Board at Keller Williams[1] and is considered one of the most influential people in real estate
In the early 1990s, Keller Williams expanded outside of the state of Texas, opening up its business model to franchising beginning in 1991. It opened an office in Oklahoma in 1993, marking the firm's first office to be located outside of its home state.
Keller Williams became the 6th largest real estate agency in the U.S.[5] An example of its rapid expansion came in the state of Florida where in 2004 it was attributed as the largest real estate office in Polk County with 114 agents.[7] That same year, it was attributed as the fastest growing real estate office in the entire state with 45 market centers, bringing its total nationwide agent count to over 30,000.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
The company began to position itself as a technology company in 2017. In 2017 it launched KW Labs, a division of the company process devoted to the building and testing of technology created by the company alongside its agents. This was in addition to KW Keller Cloud.
Associate Agent
Senior Agent
Office Manager
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Aut eaque, laboriosam veritatis, quos non quis ad perspiciatis, totam corporis ea, alias ut unde.


{% extends "base-structure.html" %} {% block title %} Homepage {% endblock %} {% block head%} {{super()}} {% endblock %} {% block page_content %}
Univeristy of Delaware
Bachelor of Science, Management Information Systems
GPA: 3.58
University of Delaware Office of Disability Support Services
Student Worker
Super Discount Liquor Store and Bar
Manager/Cashier


% var cur = 0; var data = [ { title: "Celery Man", video: "https://s3.amazonaws.com/trailerpop/videos/kce/Paul_Rudds_Computer.mp4", synopsis: "Celery Man is a short film starring \"Raul Pudd\" that explores the important questions like: Can we become friends with our own digital avatars?", poster: "https://s3.amazonaws.com/trailerpop/videos/kce/jigg.gif" } ]; %>
<%= data[cur].synopsis %>
More...


A profession is a job, or what you do for a living. A Software Engineering is an example of a profession. When you work as a software developer, this is an example of a situation where software developer is your profession.
Software Engineering, Developer, Graphic Designer, User Interface Developer ..
Your Core competencies. Your specific expert skill or knowledge in the field of technology.
Web Development, Mobile Development, Databases, Research ..


Creating robots for the most extreme environments.
The Remotely Operated underwater Vehicle (ROV) team was founded as a committee within Purdue IEEE Student Organization in 2008 with a small but dedicated group of five students. Today, the team's mission is to foster technical and professional skills of its members by designing, constructing, and testing an innovative underwater vehicle to compete in the MATE Center International ROV Competition.
2021 Team at Competition
ROV X15 ISO-Squid
The ROV team is comprised of both engineering and non-engineering students working collaboratively on a hands-on project from the vehicle's design and prototyping phase, to its construction and testing, and ultimately competition performance. The team fosters a multidisciplinary spirit so that the best ideas may come forth. In addition to the mission, the MATE competition also requires a professional presentation, public display poster, and technical documentation.
Because the vehicle requires excellence in design, construction, and presentation, the team members are themselves multidisciplinary collaborators and experts in their own discipline. Members learn to communicate clearly with each other and with clients while managing their own project responsibilities. Through various outreach events during the year, the team aims to inspire future generations to enter STEM (Science, Technology, Engineering, and Mathematics) fields.
For more current and past information view the links to the left or contact us as<EMAIL_ADDRESS>The ROV team will be accepting new members at the beginning of each semester.
August, 2023 Update
Purdue ROV competed in Longmont, CO at the 21th MATE World Championship. After an arduous, 15 hour drive, the team reconvened at the hotel to prepare for a week of mission runs, technical presentations, and late night modifications. During the first mission run, our primary camera failed, but undeterred, our intrepid pilot Bryce Sasser still managed to complete several mission tasks! The cameras were brought back online during the last 5 seconds of the run, but Armed with new knowledge, we set out to make all the necessary adjustments and prepare for our second and final mission run. The second run went seamlessly! The ROV piloted effortlessly, and the team scored 125 points in the mission run, narrowly losing out on second place due to a leak sprung in our external float.
Thanks to the dedication and perseverance of our members and leadership, the team placed 6th overall in the explorer class! We look forward to the upcoming season where, under the leadership of Zachary Neel as captain, we will build on the lessons learned with X15 ISO-Squid.
Zachary Neel
Computer Engineering
Team Captain


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There is no handler for the following exec call:
service.action
Please enter a value below to be returned for this call, then indicate whether this represents success or failure. If you wish to always respond to this call with this result, select the 'persist' option.


Class PasswordReset
This class offers some features to implement a password reset flow.
Namespace: CRUDlex
Located at PasswordReset.php
Methods summary
protected
null|CRUDlex\Entity
|
#
getValidPasswordReset( string $token )
Gets the password reset of a token but only if it is younger than 48h.
Gets the password reset of a token but only if it is younger than 48h.
Parameters
- $token
- the password reset token
Returns
null|CRUDlex\Entity the password reset request
|
public
|
#
__construct( CRUDlex\Data $userData, CRUDlex\Data $passwordResetData )
Constructor.
Parameters
- $userData
- the user data instance
- $passwordResetData
- the password reset data instance
|
public
null|string
|
#
requestPasswordReset( string $identifyingField, string $identifyingValue )
Creates a password reset request.
Creates a password reset request.
Parameters
- $identifyingField
- the identifying field to grab an user, likely the email
- $identifyingValue
- the identifying value to grab an user, likely the email
Returns
null|string the token of the password reset instance ready to be send to the user via
a secondary channel like email; might be null if the user could not be
identified uniquly via the given parameters: either zero or more than one
users were found
|
public
boolean
|
#
resetPassword( string $token, string $newPassword )
Resets the password of an user belonging to the given password reset
token.
Resets the password of an user belonging to the given password reset
token.
Parameters
- $token
- the password reset token
- $newPassword
- the new password
Returns
boolean true on success, false on failure with one of this reasons:
- no or more than one password reset request found for this token
- the password request for this token is older than 48h
- the password request for this token has already been used
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Properties summary
protected
|
$userData
Holds the user Data instance.
Holds the user Data instance.
|
|
protected
|
$passwordResetData
Holds the password reset Data instance.
Holds the password reset Data instance.
|
|


Springboks: 5 issues facing the world champions
Johannesburg - Choosing a successor to Rassie Erasmus as head coach is a pressing issue for the Springboks as they bask in the glory of lifting the Rugby World Cup for a record-matching third time.
Former national team loose forward Erasmus was given a six-year contract as director of rugby last year, putting him in charge of all the national male and female teams.
But with the embattled Springboks in desperate need of stability a year before the World Cup, he also became head coach of the team.
Now, with Erasmus changing roles a new head coach needs to be appointed.
But the mastermind behind the World Cup triumph in Japan insists he will not be lost to the most popular national team in the republic.
"I will be heavily involved whatever way we are going to go with the head coach," he stressed to AFP.
AFP Sport looks at five issues surrounding the world champions as they prepare to defend being ranked the world's number one side.
1. Coach
Springboks defence coach Jacques Nienaber has worked with Erasmus at the Cheetahs and Stormers in South Africa as well as Munster in Ireland and is the favourite for the position.
Gloucester and former Lions coach Johan Ackermann has his supporters, but a poor racial transformation record is likely to count against him.
Backs coach Mzwandile Stick is set to stay, but the contract of forwards coach Matthew Proudfoot has expired and he may give way to ex-France prop Pieter de Villiers.
Proudfoot is the only assistant who predates the appointment of Erasmus while De Villiers is jobless after being fired last week as an assistant at French Top 14 outfit Stade Francais.
2. Opponents
South Africa would have preferred more attractive July 2020 opponents than Scotland and Georgia, but the popularity of the Springboks should ensure bumper crowds.
Scotland failed to reach the World Cup quarter-finals while second-tier Georgia, boasting a strong pack but little backline invention, lost three of four pool matches.
Officials will hope Argentina and Australia attract bigger crowds than in recent editions of the Rugby Championship before a guaranteed sell-out against arch rivals New Zealand at a venue to be decided.
Opponents for a November tour of Europe are yet to be announced, but there is unlikely to be a rematch of the World Cup final with England reportedly already fully booked.
3. Retirements
Prop Tendai 'The Beast' Mtawarira, hooker Schalk Brits and loose forward Francois Louw have officially quit from a World Cup squad that expanded from 31 players to 33 owing to injuries.
That leaves two 30-plus Springboks - number eight Duane Vermeulen, 33, and utility back Francois Steyn, 32, who are yet to decide whether they will carry on or retire.
Both may be tempted to remain available with the British and Irish Lions coming to South Africa in 2021.
Steyn was a pivotal figure in the succesful six forwards/two backs replacements split at the World Cup as he covered the fullback, centre and flyhalf positions.
4. Newcomers
By the time Scotland arrive, there will be many players who did not go to Japan challenging those who did for run-on and bench places.
Incumbent fullback Willie le Roux was poor at times and Warrick Gelant and Damian Willemse are rivals while some would like to see Cheslin Kolbe there with Sibusiso Nkosi on the wing.
With Mtawarira retiring, Steven Kitshoff is set to be the first choice loosehead, leaving Lizo Gqoboka, 'Ox' Nche and Thomas du Toit competing for the understudy role.
Joseph Dweba, Akker van der Merwe and Scarra Ntubeni will be eyeing the place vacated by Brits and many view young Juarno Augustus as a potential successor when Vermeulen calls it a day.
5. 'Brain drain'
With the rand remaining extremely weak against the dollar, euro and pound, the 'brain drain' to Europe and Japan will continue, with even schoolboys being targeted.
Reports from Ireland say two World Cup winners, centre Damian de Allende and lock RG Snyman, have signed two-year contracts with Munster, whose coach is South African Johann van Graan.
It used to be just Springboks who were lured by salaries up to three times higher than at home, then domestic stars went abroad, and now schoolboys have joined the exodus.
Kade Wolhuter, a flyhalf who was voted the best player at a recent provincial schools tournament, has signed a three-year contract with Top 14 club Montpellier.
Foreign-based players are considered for Springbok selection, but there is concern over the rapidly expanding number of South Africans playing abroad.


Senior Design
Teams of four or third fourth year students are given twelve hours to design and construct a working prototype from given materials that can solve an engineering challenge. This challenge tests the competitors’ technical skills, as well as time management and teamwork. Teams present their solutions to judges using real-world justifications, then test the prototype according to the given functional requirements.
Junior Design
Teams of four students are given four hours to solve an engineering problem using creativity and limited resources. These students are in their first or second year of engineering making this challenge a test of their intuition as engineers and ability to work under pressure. Following the building session, teams do a short presentation for the judges before testing their prototypes with the provided equipment.
Re-Engineering
This challenge tests the competitors’ creativity and understanding of real world engineering problems. In eight hours, teams of two students are presented with a practical objective which must be accomplished by redesigning an existing product or process such that its functionality is improved or re-purposed. They present their solutions to a panel of judges, and are evaluated based on functionality, practicality, cost, and marketability.
Consulting Engineering
During the given time, teams of four must develop an economically feasible solution to a current real world problem. This challenge is the largest in scope of all competitions, and tests the students’ abilities in balancing ambition with practicality, technical capabilities with economics, and social benefits with environmental costs. Successful solutions will have considered every stage of the engineering design process.
Engineering Communications
Competitors are asked to describe a technical subject in lay-man’s terms. They must consider the economic and environmental aspects of their subject, and provide a persuasive conclusion regarding the potential benefits, risks, or effect their subject has on the world.
Impromptu Debate
This category challenges teams to a prepared and impromptu debate tournament. Given a technical topic in advance of the competition, teams will argue both for and against the resolution. In the impromptu portion of the tournament, teams are given 10 minutes to construct convincing arguments for their stance on a non-technical subject. Students are challenged to use a broad range of knowledge to tackle topics ranging from very general to very specific. Intelligence, poise, and wit will win this category.
Innovative Design
This category can be one of the most technical categories at WEC. A team of 1-4 students must present a ground-breaking solution to a problem of their choosing, though it is encouraged to align with the theme. The solutions are expected to be fully researched, developed, and in most cases prototyped by the date of the competition. Many students have created their own businesses using their innovative designs. Students present their devices in a fair-like setting which is open to the public, and of course, judges.


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Support and inspire changes in the greater LA with tech initiatives
Our Impact
Our Project
OUR DATA FOR GOOD EFFORTS are rooted in the Black Lives Matter movement as we sought over the summer to be able to support and engage. We’ve been focusing efforts on data and algorithmic biases as they support racism and advocating for actionable solutions.
DIGITAL INCLUSION and the digital divide – clearly now more urgent than ever due to the pandemic – has been part of LA Tech4Good’s work for five years. – In 2017 we started with The Digital Divide. Or No, Everyone is NOT Online to draw attention to the issue. – Throughout 2018 we hosted a series of events with nonprofits working in Latinx communities to both outline the tech landscape and promote critical efforts in creating tech inclusion. – We continue to amplify this work through our Digital for All initiative in response to Covid, and hosted a June virtual event Breaking the Telehealth Divide.


class ADCWiPy – analog to digital conversion¶
Note
This class is a non-standard ADC implementation for the WiPy.
It is available simply as machine.ADC
on the WiPy but is named in the
documentation below as machine.ADCWiPy
to distinguish it from the
more general machine.ADC class.
Usage:
import machine
adc = machine.ADC() # create an ADC object
apin = adc.channel(pin='GP3') # create an analog pin on GP3
val = apin() # read an analog value
Constructors¶
-
class
machine.
ADCWiPy
(id=0, *, bits=12)¶ Create an ADC object associated with the given pin. This allows you to then read analog values on that pin. For more info check the pinout and alternate functions table.
Warning
ADC pin input range is 0-1.4V (being 1.8V the absolute maximum that it can withstand). When GP2, GP3, GP4 or GP5 are remapped to the ADC block, 1.8 V is the maximum. If these pins are used in digital mode, then the maximum allowed input is 3.6V.
Methods¶
-
ADCWiPy.
channel
(id, *, pin)¶ Create an analog pin. If only channel ID is given, the correct pin will be selected. Alternatively, only the pin can be passed and the correct channel will be selected. Examples:
# all of these are equivalent and enable ADC channel 1 on GP3 apin = adc.channel(1) apin = adc.channel(pin='GP3') apin = adc.channel(id=1, pin='GP3')
-
ADCWiPy.
init
()¶ Enable the ADC block.
-
ADCWiPy.
deinit
()¶ Disable the ADC block.
class ADCChannel — read analog values from internal or external sources¶
ADC channels can be connected to internal points of the MCU or to GPIO pins. ADC channels are created using the ADC.channel method.
-
machine.
adcchannel
()¶ Fast method to read the channel value.
-
adcchannel.
value
()¶ Read the channel value.
-
adcchannel.
init
()¶ Re-init (and effectively enable) the ADC channel.
-
adcchannel.
deinit
()¶ Disable the ADC channel.


I am a passionate computer science enthusiast with deep interest in building backend systems. I am very interested in an environment coming up with fast, reliable and innovative solutions to challenging problems. My core interests lie in developing backend applications along with front end technologies.
Currently looking for:
Full-time SDE starting December 2018
GPA: 3.57
GPA: 3.63 (IERF Verified)
Experience: I got end to end exposure of the SDLC process. Right from studying codebase, refactoring application with given requirements, writings unit tests, deployment on different environments, agile development with tools like JIRA, documentation of application and finally production deployement was a fruitful experience.
LorryMate: (2-member team)
Omdb Movie Data Scraping:
Sensor Data: (4-member team)
Help Students understand Operating System concepts, clear doubts, Set, Grade - Exams and Assignments
Programming: Java 8/9, RxJava, Python, C, C++
Technologies: Spring, Spring Boot, Netflix OSS, Play Framework, Hibernate, Git, Maven, Tomcat, SOAP, REST, Apache Axis2, Web Services, Nginx, Map-Reduce: Hadoop, Solr, Kafka, Docker
Web: HTML, CSS, JavaScript, XML, PHP, JSON, AngularJS, HTML5, Ajax, Node.js, Express
Database: Relational – MySQL, PostgreSQL, POSTGIS, Apache TinkerPop, MongoDB
Cloud Platforms: AWS – Elastic Beanstalk, RDS, Google Cloud Platform – SQL,Dataproc
Systems: Linux, Mac, Windows, Android
Indexed 20K HTML files using Post tool leveraging TIKA and facilitated ranking using Lucene. A Search Engine was built including auto completion and spelling correction features.
Computed PageRank using NetworkX library of the Html files and compared it with the previous ranking algorithm.
Uploaded a collection of 3,036 English written by 142 authors books to Google cloud storage staging.
Created an Inverted index indicating the word counts and document ID’s for all words in the corpus.
Crawled “Newsday’s” website using open source Crawler4j web crawler to measure and study relevant statistics of the crawl.
Developed an agent using Resolution algorithm that given a knowledge base and a query determines whether the knowledge base entails the query.
Developed a Game Playing Agent using the Minimax Algorithm with Alpha-Beta Pruning.
Customized a Web and Mobile user experience for Facebook search with Facebook Graph API and Added social networking features with Facebook SDK.
Tools Used : HTML5, CSS, Bootstrap, AngularJs, Facebook Graph API
Developed a note-taking and Live Weather Application with Node.js using Google geo-location API and Dark Sky Weather API.
Tools Used : Node.js, Google Maps, Dark Sky API
Collaborated and implemented toy Operating System (non-preemptive monolithic kernel).
Achieved a faster response time (~10ms) for selectively encrypted SOAP document than a wholly encrypted SOAP document.
Published a paper in International Journal of Engineering Research and General Science (IJERGS) in June 2015. (http://bit.ly/2xXClXn)
Used the Open Graphics Library for rendering 2D and 3D vector graphics for simulating the electronic configuration of Noble gases.


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