wings
food
asleep
along
tell
see
The Bird’s Home
O, where is thy home, sweet bird
With the song, and bright glossy plume?
“I’ll thee where I rest,
If thou will not rob my nest;
I built among the sweet apple - bloom!”
What’s there, in the snug downy cell?
“If thou will not rob the tree;
Nor go too near, to
see
My quiet little home, I will
tell
O, I will not thy trust betray!The secret I will closely keep.
“I’ve three tender little things
That I have never used their
wings
I left them there, at home, fast
asleep
Then, why are thou here, my bird,Away from thy young, helpless brood?
“To pay thee with a song
Just to let me pass
along
Nor harm me, as I look for their
food


away.partition.CameraNode Class
Item Index
Events
- added Dispatched when a display object is added to the display list.
- added Dispatched when a display object is added to the display list.
- render [broadcast event] Dispatched when the display list is about to be updated and rendered. This event provides the last opportunity for objects listening for this event to make changes before the display list is rendered. You must call the invalidate() method of the Stage object each time you want a render event to be dispatched. Render events are dispatched to an object only if there is mutual trust between it and the object that called Stage.invalidate(). This event is a broadcast event, which means that it is dispatched by all display objects with a listener registered for this event.
Note: This event is not dispatched if the display is not rendering. This is the case when the content is either minimized or obscured.

- unload Dispatched by the contentLoaderInfo object when a loaded object is removed.
- unload Dispatched by the contentLoaderInfo object when a loaded object is removed.
- unload Dispatched by a LoaderInfo object whenever a loaded object is removed by using the unload() method of the Loader object, or when a second load is performed by the same Loader object and the original content is removed prior to the load beginning.
Events
added Dispatched when a display object is added to the display
list.
Adds a child DisplayObject instance to this DisplayObjectContainer
instance. The child is added to the front(top) of all other children in
this DisplayObjectContainer instance.(To add a child to a specific index
position, use the addChildAt()
method.)
If you add a child object that already has a different display object container as a parent, the object is removed from the child list of the other display object container.
Note: The command stage.addChild()
can cause
problems with a published SWF file, including security problems and
conflicts with other loaded SWF files. There is only one Stage within a
Flash runtime instance, no matter how many SWF files you load into the
runtime. So, generally, objects should not be added to the Stage,
directly, at all. The only object the Stage should contain is the root
object. Create a DisplayObjectContainer to contain all of the items on the
display list. Then, if necessary, add that DisplayObjectContainer instance
to the Stage.
Event Payload:
-
child
ObjectThe DisplayObject instance to add as a child of this DisplayObjectContainer instance.
added Dispatched when a display object is added to the display
list.
Adds a child DisplayObject instance to this DisplayObjectContainer instance. The child is added at the index position specified. An index of 0 represents the back(bottom) of the display list for this DisplayObjectContainer object.
For example, the following example shows three display objects, labeled a, b, and c, at index positions 0, 2, and 1, respectively:
If you add a child object that already has a different display object container as a parent, the object is removed from the child list of the other display object container.
Event Payload:
-
child
ObjectThe DisplayObject instance to add as a child of this DisplayObjectContainer instance.
-
index
ObjectThe index position to which the child is added. If you specify a currently occupied index position, the child object that exists at that position and all higher positions are moved up one position in the child list.
render [broadcast event] Dispatched when the display list
is about to be updated and rendered. This event
provides the last opportunity for objects listening
for this event to make changes before the display
list is rendered. You must call the
invalidate() method of the Stage
object each time you want a render
event to be dispatched. Render events
are dispatched to an object only if there is mutual
trust between it and the object that called
Stage.invalidate(). This event is a
broadcast event, which means that it is dispatched
by all display objects with a listener registered
for this event.

Note: This event is not dispatched if the
display is not rendering. This is the case when the
content is either minimized or obscured.

The DisplayObject class is the base class for all objects that can be placed on the display list. The display list manages all objects displayed in flash. Use the DisplayObjectContainer class to arrange the display objects in the display list. DisplayObjectContainer objects can have child display objects, while other display objects, such as Shape and TextField objects, are "leaf" nodes that have only parents and siblings, no children.
The DisplayObject class supports basic functionality like the x and y position of an object, as well as more advanced properties of the object such as its transformation matrix.
DisplayObject is an abstract base class; therefore, you cannot call
DisplayObject directly. Invoking new DisplayObject()
throws an
ArgumentError
exception.
All display objects inherit from the DisplayObject class.
The DisplayObject class itself does not include any APIs for rendering content onscreen. For that reason, if you want create a custom subclass of the DisplayObject class, you will want to extend one of its subclasses that do have APIs for rendering content onscreen, such as the Shape, Sprite, Bitmap, SimpleButton, TextField, or MovieClip class.
The DisplayObject class contains several broadcast events. Normally, the
target of any particular event is a specific DisplayObject instance. For
example, the target of an added
event is the specific
DisplayObject instance that was added to the display list. Having a single
target restricts the placement of event listeners to that target and in
some cases the target's ancestors on the display list. With broadcast
events, however, the target is not a specific DisplayObject instance, but
rather all DisplayObject instances, including those that are not on the
display list. This means that you can add a listener to any DisplayObject
instance to listen for broadcast events. In addition to the broadcast
events listed in the DisplayObject class's Events table, the DisplayObject
class also inherits two broadcast events from the EventDispatcher class:
activate
and deactivate
.
Some properties previously used in the ActionScript 1.0 and 2.0
MovieClip, TextField, and Button classes(such as alpha
,
_height
, _name
, _width
,
_x
, _y
, and others) have equivalents in the
ActionScript 3.0 DisplayObject class that are renamed so that they no
longer begin with the underscore() character.
For more information, see the "Display Programming" chapter of the ActionScript 3.0 Developer's Guide.
unload Dispatched by the contentLoaderInfo
object when a loaded object is removed.
Loads a SWF, JPEG, progressive JPEG, unanimated GIF, or PNG file into an
object that is a child of this Loader object. If you load an animated GIF
file, only the first frame is displayed. As the Loader object can contain
only a single child, issuing a subsequent load()
request
terminates the previous request, if still pending, and commences a new
load.
Note: In AIR 1.5 and Flash Player 10, the maximum size for a loaded image is 8,191 pixels in width or height, and the total number of pixels cannot exceed 16,777,215 pixels.(So, if an loaded image is 8,191 pixels wide, it can only be 2,048 pixels high.) In Flash Player 9 and earlier and AIR 1.1 and earlier, the limitation is 2,880 pixels in height and 2,880 pixels in width.
A SWF file or image loaded into a Loader object inherits the position, rotation, and scale properties of the parent display objects of the Loader object.

You can prevent a SWF file from using this method by setting the
allowNetworking
parameter of the the object
and
embed
tags in the HTML page that contains the SWF
content.
When you use this method, consider the Flash Player security model, which is described in the Loader class description.
In Flash Player 10 and later, if you use a multipart Content-Type(for example "multipart/form-data") that contains an upload(indicated by a "filename" parameter in a "content-disposition" header within the POST body), the POST operation is subject to the security rules applied to uploads:
- The POST operation must be performed in response to a user-initiated action, such as a mouse click or key press.
- If the POST operation is cross-domain(the POST target is not on the same server as the SWF file that is sending the POST request), the target server must provide a URL policy file that permits cross-domain access.
Also, for any multipart Content-Type, the syntax must be valid (according to the RFC2046 standard). If the syntax appears to be invalid, the POST operation is subject to the security rules applied to uploads.
For more information related to security, see the Flash Player Developer Center Topic: a href="http://www.adobe.com/go/devnet_security_en" scope="external"Security.
Event Payload:
-
request
ObjectThe absolute or relative URL of the SWF, JPEG, GIF, or PNG file to be loaded. A relative path must be relative to the main SWF file. Absolute URLs must include the protocol reference, such as http:// or file:///. Filenames cannot include disk drive specifications.
-
context
ObjectA LoaderContext object, which has properties that define the following:
- Whether or not to check for the existence of a policy file upon loading the object
- The ApplicationDomain for the loaded object
- The SecurityDomain for the loaded object
- The ImageDecodingPolicy for the loaded image object

If the context parameter is not specified or refers to a null object, the loaded content remains in its own security domain.

For complete details, see the description of the properties in the LoaderContext class.

unload Dispatched by the contentLoaderInfo
object when a loaded object is removed.
Loads from binary data stored in a ByteArray object.
The loadBytes()
method is asynchronous. You must wait for
the "init" event before accessing the properties of a loaded object.
When you use this method, consider the Flash Player security model, which is described in the Loader class description.
Event Payload:
-
bytes
ObjectA ByteArray object. The contents of the ByteArray can be any of the file formats supported by the Loader class: SWF, GIF, JPEG, or PNG.
-
context
ObjectA LoaderContext object. Only the
applicationDomain
property of the LoaderContext object applies; thecheckPolicyFile
andsecurityDomain
properties of the LoaderContext object do not apply.
If the context parameter is not specified or refers to a null object, the content is loaded into the current security domain - a process referred to as "import loading" in Flash Player security documentation. Specifically, if the loading SWF file trusts the remote SWF by incorporating the remote SWF into its code, then the loading SWF can import it directly into its own security domain.

For more information related to security, see the Flash Player Developer Center Topic: Security.

unload Dispatched by a LoaderInfo object whenever a loaded
object is removed by using the unload()
method of the Loader object, or when a second load is
performed by the same Loader object and the original
content is removed prior to the load beginning.
The LoaderInfo class provides information about a loaded SWF file or a loaded image file(JPEG, GIF, or PNG). LoaderInfo objects are available for any display object. The information provided includes load progress, the URLs of the loader and loaded content, the number of bytes total for the media, and the nominal height and width of the media.
You can access LoaderInfo objects in two ways:
- The
contentLoaderInfo
property of a flash.display.Loader object - ThecontentLoaderInfo
property is always available for any Loader object. For a Loader object that has not called theload()
orloadBytes()
method, or that has not sufficiently loaded, attempting to access many of the properties of thecontentLoaderInfo
property throws an error. - The
loaderInfo
property of a display object.
The contentLoaderInfo
property of a Loader object provides
information about the content that the Loader object is loading, whereas
the loaderInfo
property of a DisplayObject provides
information about the root SWF file for that display object.
When you use a Loader object to load a display object(such as a SWF
file or a bitmap), the loaderInfo
property of the display
object is the same as the contentLoaderInfo
property of the
Loader object(DisplayObject.loaderInfo =
Loader.contentLoaderInfo
). Because the instance of the main class of
the SWF file has no Loader object, the loaderInfo
property is
the only way to access the LoaderInfo for the instance of the main class of
the SWF file.
The following diagram shows the different uses of the LoaderInfo
object - for the instance of the main class of the SWF file, for the
contentLoaderInfo
property of a Loader object, and for the
loaderInfo
property of a loaded object:
When a loading operation is not complete, some properties of the
contentLoaderInfo
property of a Loader object are not
available. You can obtain some properties, such as
bytesLoaded
, bytesTotal
, url
,
loaderURL
, and applicationDomain
. When the
loaderInfo
object dispatches the init
event, you
can access all properties of the loaderInfo
object and the
loaded image or SWF file.
Note: All properties of LoaderInfo objects are read-only.
The EventDispatcher.dispatchEvent()
method is not
applicable to LoaderInfo objects. If you call dispatchEvent()
on a LoaderInfo object, an IllegalOperationError exception is thrown.


BHH Podcast: Goal Setting & Actualization
by NairametricsBusiness Half Hour (BHH Podcast) is a weekly podcast targeted at Startups and Entrepreneurs who are redefining the Nigerian business scene through innovation.
On this episode of the BHH Podcast, Bukola and Taiwo had Harjasleen Batth, With over 11 years experience working at Multinational corporations including Wells Fargo Financial and Konica Minolta Business solution in Canada, a BSc in Business &’MBA, + a coaching certification.
[See Also: BHH Podcast: Easy steps to monetize E-learning in Nigeria.(Opens in a new browser tab)]


|
iSensor-SPI-Buffer
1.15
Firmware for the iSensor-SPI-Buffer board to enable full throughput buffered data capture on Analog Devices IMUs
|
iSensor-SPI-Buffer interrupt service routines More...
#include "reg.h"
#include "imu.h"
#include "isr.h"
#include "buffer.h"
#include "user_spi.h"
#include "dio.h"
#include "flash.h"
#include "main.h"
#include "data_capture.h"
#include "timer.h"
Functions | |
| static void | FinishImuBurst () |
| Cleans up an IMU burst data read. More... | |
| static void | ProcessSPITransaction (uint32_t rx) |
| Process a 16 bit data word from the user SPI. More... | |
| void | EXTI9_5_IRQHandler () |
| IMU data ready ISR. Kicks off data capture process. More... | |
| void | EXTI4_IRQHandler () |
| EXTI 4 interrupt handler. More... | |
| void | TIM4_IRQHandler () |
| IMU SPI timer ISR. More... | |
| void | DMA1_Channel2_IRQHandler (void) |
| This function handles DMA1 channel2 global interrupt (spi1 (IMU) Rx). More... | |
| void | DMA1_Channel3_IRQHandler (void) |
| This function handles DMA1 channel3 global interrupt (spi1 (IMU) Tx). More... | |
| void | DMA1_Channel5_IRQHandler (void) |
| This function handles DMA1 channel5 global interrupt (spi2 (user) Tx). More... | |
| void | SPI2_IRQHandler (void) |
| This function handles the user SPI (SPI2) rx data interrupt. More... | |
| void | EXTI15_10_IRQHandler (void) |
| This function handles the user SPI (SPI2) chip select rising edge. More... | |
| void | HardFault_Handler (void) |
| This function handles Hard fault interrupt. More... | |
| void | MemManage_Handler (void) |
| This function handles Memory management fault. More... | |
| void | BusFault_Handler (void) |
| This function handles Pre-fetch fault, memory access fault. More... | |
| void | UsageFault_Handler (void) |
| This function handles Undefined instruction or illegal state. More... | |
Variables | |
| volatile uint32_t | g_wordsPerCapture |
| volatile uint32_t | g_captureInProgress = 0u |
| static uint8_t * | BufferElementHandle |
| static uint16_t * | BufferSigHandle |
| static volatile uint32_t | WordsCaptured |
| static uint32_t | BufferSignature |
| static volatile uint32_t | ImuDMADone = 0 |
iSensor-SPI-Buffer interrupt service routines
Copyright (c) Analog Devices Inc, 2020 All Rights Reserved.
| void BusFault_Handler | ( | void | ) |
This function handles Pre-fetch fault, memory access fault.
| void DMA1_Channel2_IRQHandler | ( | void | ) |
This function handles DMA1 channel2 global interrupt (spi1 (IMU) Rx).
This DMA is used to receive data from an IMU during a burst data capture. In order for an IMU data capture to be complete, this DMA channel and the transmit DMA channel have to both finish their work. In general, this channel will finish last.
| void DMA1_Channel3_IRQHandler | ( | void | ) |
This function handles DMA1 channel3 global interrupt (spi1 (IMU) Tx).
This DMA is used to transmit the write data array to the IMU during a burst data capture. It runs in parallel with DMA channel 2 to achieve full duplex burst.
| void DMA1_Channel5_IRQHandler | ( | void | ) |
This function handles DMA1 channel5 global interrupt (spi2 (user) Tx).
This interrupt is only used to flag errors. Ending a buffer burst output is triggered by an EXTI interrupt attached to chip select.
| void EXTI15_10_IRQHandler | ( | void | ) |
This function handles the user SPI (SPI2) chip select rising edge.
Two interrupts are used for the user SPI interface. In register mode, the SPI2 interrupt is used to interrupt when two bytes are received, to avoid an unnecessary dependency on the CS state (caused issues for some Linux systems which like to toggle CS after each byte). This interrupt is used when in burst mode only. In burst mode, a variable number of bytes is clocked out, so the CS rising edge must be used to delimit the end of a transaction.
In this interrupt, if another burst read is requested, the CS rising edge interrupt is kept enabled, and the buffer board is configured for another burst. If a standard register read/write is requested, then the CS interrupt is disabled, and the standard SPI interrupt re-enabled.
When this function is called, the SPI should be operating in 16-bit mode, rather than the 8-bit mode used for register interfacing.
| void EXTI4_IRQHandler | ( | ) |
EXTI 4 interrupt handler.
This interrupt is generated by a PPS signal applied to DIO1 only. All other PPS inputs generate an EXTI9_5 interrupt
| void EXTI9_5_IRQHandler | ( | ) |
IMU data ready ISR. Kicks off data capture process.
All four DIOx_Master pins map to this interrupt handler. Only one should be enabled as an interrupt source at a time. This interrupt also handles PPS input signals for DIO2-4. The EXTI pending interrupt register (PR) can be used to identify if the interrupt is coming from a PPS strobe or an IMU data ready signal.
|
static |
Cleans up an IMU burst data read.
This function is called once the SPI1 Tx and Rx DMA interrupts have both fired, or a single error interrupt has been generated. SPI1 uses DMA1, channel 2/3. These channels have lower priority than the user SPI DMA channels, which also use DMA peripheral 1.
This function brings CS high, calculates the buffer signature, and updates the buffer count / capture state variables. Before this function is called, DMA interrupts should be disabled (by their respective ISR's)
| void HardFault_Handler | ( | void | ) |
This function handles Hard fault interrupt.
| void MemManage_Handler | ( | void | ) |
This function handles Memory management fault.
|
static |
Process a 16 bit data word from the user SPI.
| rx | Two bytes from the user SPI in register mode, packed |
This function accommodates for the swapped endianess of bytes which are packed into the SPI Rx data register.
If the value on the SPI bus is: 0x1234, then the data register will hold 0x3412. This is true for both receive and transmit.
IMPORTANT: This should only be used for register mode, when the SPI data word size is 8 bits. In burst mode, where the SPI data word size is 16 bits, this will not work, since data packing is not used.
| void SPI2_IRQHandler | ( | void | ) |
This function handles the user SPI (SPI2) rx data interrupt.
The SPI Rx data interrupt is used for standard register reads. The SPI2 peripheral is configured to generate an interrupt once two bytes of data have been received.
IMPORTANT NOTE: Due to data packing, each read from the SPI data register actually pulls two bytes from the Rx FIFO. These bytes are in reversed order from how they were received on the bus. For more information on this behavior, see the data packing section of the SPI entry in the technical reference manual.
If a burst read is requested, this interrupt is disabled, and the CS rising edge interrupt is enabled instead. This allows for variable length burst read transactions. The hand off from register mode to burst mode and back requires special care. We want to avoid potential issues if the user just immediately starts full length burst reads, rather than requesting a burst first. We essentially have to wait for the current SPI transaction to finish before enabling the burst. Otherwise, the burst can potentially get enabled half way through this transfer, which messes up the whole burst read sequence. We could accomplish this by polling CS in the ISR, but that has a strong potential to mess with other functionality (user SPI interrupt is highest priority, and also generally polling in an ISR is a bad idea). Instead, a flag is set, which must be cleared by the CS ISR. This flag is checked by the buffer dequeue routine which runs from the main loop.
Once no more bursts are requested, the SPI2 interrupt will be re-enabled through the user SPI burst disable function.
| void TIM4_IRQHandler | ( | ) |
IMU SPI timer ISR.
This interrupt retrieves the SPI data read on the previous SPI transaction. It then starts the next SPI transaction (if needed) and returns.
SPI MISO data
| void UsageFault_Handler | ( | void | ) |
This function handles Undefined instruction or illegal state.
|
static |
Pointer to buffer element which is being populated
|
static |
Pointer to buffer data signature within buffer element which is being populated
|
static |
Buffer signature
| volatile uint32_t g_captureInProgress = 0u |
Track if there is currently a capture in progress
| volatile uint32_t g_wordsPerCapture |
Current capture size (in 16 bit words). Global scope
|
static |
Flag to track if IMU burst DMA is done
|
static |
Track number of words captured within current buffer entry


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--- layout: post author: Steven Proctor authorname: Steven Proctor title: Global Day of Code Retreat Dallas - thought dump preview: A write up of my thoughts on Dallas' Global Day of Code Retreat can be found here ---
A write up of my thoughts on Dallas' Global Day of Code Retreat can be found here:
http://proctorit.wordpress.com/2011/12/10/global-day-of-code-retrea...
Happy Practicing,
--Proctor


Sacramento St. tops Pepperdine 77-72
MALIBU, Calif. (AP) - Izayah Mauriohooho-le’afa tied his career high with 23 points as Sacramento State edged past Pepperdine 77-72 on Saturday night.
Mauriohooho-le’afa hit 9 of 10 from the free-throw line.
Ethan Esposito had 15 points and eight rebounds for Sacramento State (4-0). Joshua Patton added 13 points and four assists, and Bryce Fowler had 10 points.
Kameron Edwards had 20 points and eight rebounds for the Waves (3-3). Colbey Ross added 18 points, and Kessler Edwards had 11 points, 11 rebounds and three blocks.
Sacramento State takes on Colorado on the road next Saturday. Pepperdine faces Arizona on Thursday.
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
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Please read our comment policy before commenting.


24 June 2003 (revised 26 June 2003)
Disease Outbreak Reported
"As of 23 June, the Ministry of Health, Algeria has reported a total of 10 cases, 8 cases of bubonic plague and 2 of septicemic plague, one of which was fatal, in Tafraoui, on the outskirts of Oran. Cases have been treated with antibiotics and preventive measures have been taken. To date, no new cases have been officially reported.
WHO is working with the Ministry of Health to provide rapid diagnostic tests and technical support in liaison with two WHO Collaborating Centres who are both partners in the Global Outbreak Alert and Response Network:Institut Pasteur, Paris, France, and Kazakh Scientific Centre for Quarantine and Zoonotic Diseases, Almaty, Kazakhstan.


Demo Table Of Candidates
Name
Skills
Cirpo
JavaScript, Docker
Louis
Java, AEM
Nermin
.NET, Azure
Candidates With Skills


Maihama
(LastaFlute Example)
Product
Member
Purchase
upload
Welcome, Mr.Guest
setting
logout
Whitebox Upload


Class DB
DB class
Methods summary
public
|
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public static
|
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public
|
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public
object
|
|
public
mixed
|
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public
integer
|


login
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get session
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Title
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{{album.title}}
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In 2006-2013:started my primary school at St peters elite school near Gilgil In 2014-2017:joined sunshine secondary school for my highschool education In 2018-to now am currently at Kabete National School doing Information Technology {I.T}
After my first and second semister i joined
I chose programming because of the intrest i have in coding and it intresting
intrest:am intrested to know more about software development and how to create website


By Ahrar Ahmad Khan
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| Name | Description | Type | Key and additional info |
|---|---|---|---|
| CacheLatency2048to4095ms |
-
 | SNMP agent |
s64CacheLatency2048to4095ms.0
Update: 60
 |
| S64 - SRV Queries |
-
 | SNMP agent |
numRRInQueries.33
Update: 60
 |
| CacheNumAnswersNXDOMAIN |
“Number of NXDOMAIN (non-existent domain) answers. This number should be a small percentage of the overall number of queries. A high number of NXDOMAIN answers can indicate a misconfiguration or a possible attack.”
 | SNMP agent |
s64CacheNumAnswersNXDOMAIN.0
Update: 60
 |
| CacheNumAnswersNODATA |
Number of NODATA/NOERROR answers. These occur when the queried domain exists but the query for a particular type resulted in zero answer records.
 | SNMP agent |
s64CacheNumAnswersNODATA
Update: 60
 |
| S64 - NS Queries |
-
 | SNMP agent |
numRRInQueries.2
Update: 60
 |
| CacheNumFailedValidations |
Number of failed validation attempts. Numerous failed validations can indicate configuration issues with trust anchors, a DLV, or keys. It can also indicate upstream chain of trust or key/signature problems.
 | SNMP agent |
s64CacheNumFailedValidations
Update: 60
 |
| CacheNumAnswersSERVFAIL |
Number of SERVFAIL (server failure) answers. SERVFAIL responses can occur when validation fails and the data is bogus or when a bad packet is received.
 | SNMP agent |
s64CacheNumAnswersSERVFAIL
Update: 1m
 |
| Secure64 Uptime |
-
 | SNMP agent |
s64CacheUptime
Update: 5m
 |
| Number of Non Validating Lookups |
-
 | SNMP agent |
s64CacheNumNonValidatingLookups
Update: 60
 |
| S64 - MX Queries |
-
 | SNMP agent |
numRRInQueries.15
Update: 60
 |
| CacheNumNXDOMAINRedirects |
Number of NXDOMAIN responses that are redirected by attributes provided in the caching server configuration.
 | SNMP agent |
s64CacheNumNXDOMAINRedirects
Update: 60
 |
| No of Query Rate Limited By Type |
-
 | SNMP agent |
s64CacheNumQueriesRateLimitedByType
Update: 60
 |
| CacheLatencyLT64ms |
Number of lookups performed that took less than 64 milliseconds
 | SNMP agent |
s64CacheLatencyLT64ms
Update: 60
 |
| Number of Validating Lookups |
-
 | SNMP agent |
s64CacheNumValidatingLookups
Update: 60
 |
| CacheLatency1024to2047ms |
-
 | SNMP agent |
s64CacheLatency1024to2047ms.0
Update: 60
 |
| S64 - TXT Queries |
-
 | SNMP agent |
numRRInQueries.16
Update: 60
 |
| S64 - PTR Queries |
-
 | SNMP agent |
numRRInQueries.12
Update: 60
 |
| S64 - AAAA Queries |
-
 | SNMP agent |
numRRInQueries.28
Update: 60
 |
| CacheReferralCacheSize |
-
 | SNMP agent |
s64CacheReferralCacheSize
Update: 5m
 |
| Secure64 Cache Hits |
-
 | SNMP agent |
s64CacheNumHits
Update: 60
 |
| CacheLatency128to255ms |
Number of lookups performed that took more than 128 milliseconds and up to 256 milliseconds.
 | SNMP agent |
s64CacheLatency128to255ms.0
Update: 60
 |
| CacheNumPrefetchQueries |
Number of cache entries that were refreshed before their TTL expires. This is a performance enhancement intended to decrease the latency by prefetching popular entries to avoid cache misses. An entry is prefetched if it is queried with the last 10% of its TTL.
 | SNMP agent |
s64CacheNumPrefetchQueries
Update: 60
 |
| S64 - A Queries |
-
 | SNMP agent |
numRRInQueries.1
Update: 60
 |
| S64 - SOA Queries |
-
 | SNMP agent |
numRRInQueries.6
Update: 60
 |
| S64 - CNAME Queries |
-
 | SNMP agent |
numRRInQueries.5
Update: 60
 |
| CacheLatency512to1023ms |
-
 | SNMP agent |
s64CacheLatency512to1023ms.0
Update: 60
 |
| CacheLatency256to511ms |
-
 | SNMP agent |
s64CacheLatency256to511ms.0
Update: 60
 |
| S64 - ANY Queries |
-
 | SNMP agent |
numRRInQueries.255
Update: 60
 |
| CacheAnswerCacheSize |
Message cache size, in kb
 | SNMP agent |
s64CacheAnswerCacheSize.0
Update: 5m
 |
| Secure64 Cache Version |
-
 | SNMP agent |
s64CacheVersion
Update: 1h
 |
| S64 - DS Queries |
-
 | SNMP agent |
numRRInQueries.43
Update: 60
 |
| Secure64 Status |
-
 | SNMP agent |
s64CacheRunning
Update: 60
 |
| Secure64 Cache Misses |
-
 | SNMP agent |
s64CacheNumMises
Update: 60
 |
| S64 - SPF Queries |
-
 | SNMP agent |
numRRInQueries.99
Update: 60
 |
| CacheLatencyGT4095ms |
-
 | SNMP agent |
s64CacheLatencyGT4095ms.0
Update: 60
 |
| CacheLatency64to127ms |
Number of lookups performed that took more than 64 milliseconds and up to 128 milliseconds.
 | SNMP agent |
s64CacheLatency64to127ms.0
Update: 60
 |
| Average QPS |
Average number of queries per second (QPS), since the last time this value was queried. Each time this value is queried, we determine the amount of elapsed time since the last SNMP query for it, and the total number of DNS queries since the last SNMP query for it, and calculate the number of queries per second over that interval.
 | SNMP agent |
s64CacheQPS
Update: 60
 |
There are no triggers in this template.
By Ahrar Ahmad Khan
Visit the github link for Readme file
Ahrar Khan
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| S64 - SOA Queries |
-
 | SNMP agent |
numRRInQueries.6
Update: 60
 |
| CacheLatency256to511ms |
-
 | SNMP agent |
s64CacheLatency256to511ms.0
Update: 60
 |
| CacheLatencyLT64ms |
Number of lookups performed that took less than 64 milliseconds
 | SNMP agent |
s64CacheLatencyLT64ms
Update: 60
 |
| S64 - NS Queries |
-
 | SNMP agent |
numRRInQueries.2
Update: 60
 |
| S64 - A Queries |
-
 | SNMP agent |
numRRInQueries.1
Update: 60
 |
| Average QPS |
Average number of queries per second (QPS), since the last time this value was queried. Each time this value is queried, we determine the amount of elapsed time since the last SNMP query for it, and the total number of DNS queries since the last SNMP query for it, and calculate the number of queries per second over that interval.
 | SNMP agent |
s64CacheQPS
Update: 60
 |
| No of Query Rate Limited By Type |
-
 | SNMP agent |
s64CacheNumQueriesRateLimitedByType
Update: 60
 |
| CacheNumAnswersNXDOMAIN |
“Number of NXDOMAIN (non-existent domain) answers. This number should be a small percentage of the overall number of queries. A high number of NXDOMAIN answers can indicate a misconfiguration or a possible attack.”
 | SNMP agent |
s64CacheNumAnswersNXDOMAIN.0
Update: 60
 |
| S64 - MX Queries |
-
 | SNMP agent |
numRRInQueries.15
Update: 60
 |
| CacheNumAnswersNODATA |
Number of NODATA/NOERROR answers. These occur when the queried domain exists but the query for a particular type resulted in zero answer records.
 | SNMP agent |
s64CacheNumAnswersNODATA
Update: 60
 |
| CacheNumFailedValidations |
Number of failed validation attempts. Numerous failed validations can indicate configuration issues with trust anchors, a DLV, or keys. It can also indicate upstream chain of trust or key/signature problems.
 | SNMP agent |
s64CacheNumFailedValidations
Update: 60
 |
| CacheLatency512to1023ms |
-
 | SNMP agent |
s64CacheLatency512to1023ms.0
Update: 60
 |
| Secure64 Cache Version |
-
 | SNMP agent |
s64CacheVersion
Update: 1h
 |
| S64 - CNAME Queries |
-
 | SNMP agent |
numRRInQueries.5
Update: 60
 |
| CacheLatency128to255ms |
Number of lookups performed that took more than 128 milliseconds and up to 256 milliseconds.
 | SNMP agent |
s64CacheLatency128to255ms.0
Update: 60
 |
| CacheLatency2048to4095ms |
-
 | SNMP agent |
s64CacheLatency2048to4095ms.0
Update: 60
 |
| S64 - TXT Queries |
-
 | SNMP agent |
numRRInQueries.16
Update: 60
 |
| CacheLatency1024to2047ms |
-
 | SNMP agent |
s64CacheLatency1024to2047ms.0
Update: 60
 |
| S64 - AAAA Queries |
-
 | SNMP agent |
numRRInQueries.28
Update: 60
 |
| Secure64 Uptime |
-
 | SNMP agent |
s64CacheUptime
Update: 5m
 |
| S64 - SPF Queries |
-
 | SNMP agent |
numRRInQueries.99
Update: 60
 |
| CacheAnswerCacheSize |
Message cache size, in kb
 | SNMP agent |
s64CacheAnswerCacheSize.0
Update: 5m
 |
| Secure64 Status |
-
 | SNMP agent |
s64CacheRunning
Update: 60
 |
| Secure64 Cache Hits |
-
 | SNMP agent |
s64CacheNumHits
Update: 60
 |
| S64 - PTR Queries |
-
 | SNMP agent |
numRRInQueries.12
Update: 60
 |
| Number of Non Validating Lookups |
-
 | SNMP agent |
s64CacheNumNonValidatingLookups
Update: 60
 |
| S64 - DS Queries |
-
 | SNMP agent |
numRRInQueries.43
Update: 60
 |
| Secure64 Cache Misses |
-
 | SNMP agent |
s64CacheNumMises
Update: 60
 |
| S64 - ANY Queries |
-
 | SNMP agent |
numRRInQueries.255
Update: 60
 |
| CacheLatencyGT4095ms |
-
 | SNMP agent |
s64CacheLatencyGT4095ms.0
Update: 60
 |
| CacheNumAnswersSERVFAIL |
Number of SERVFAIL (server failure) answers. SERVFAIL responses can occur when validation fails and the data is bogus or when a bad packet is received.
 | SNMP agent |
s64CacheNumAnswersSERVFAIL
Update: 1m
 |
| Number of Validating Lookups |
-
 | SNMP agent |
s64CacheNumValidatingLookups
Update: 60
 |
| S64 - SRV Queries |
-
 | SNMP agent |
numRRInQueries.33
Update: 60
 |
| CacheLatency64to127ms |
Number of lookups performed that took more than 64 milliseconds and up to 128 milliseconds.
 | SNMP agent |
s64CacheLatency64to127ms.0
Update: 60
 |
| CacheReferralCacheSize |
-
 | SNMP agent |
s64CacheReferralCacheSize
Update: 5m
 |
| CacheNumPrefetchQueries |
Number of cache entries that were refreshed before their TTL expires. This is a performance enhancement intended to decrease the latency by prefetching popular entries to avoid cache misses. An entry is prefetched if it is queried with the last 10% of its TTL.
 | SNMP agent |
s64CacheNumPrefetchQueries
Update: 60
 |
| CacheNumNXDOMAINRedirects |
Number of NXDOMAIN responses that are redirected by attributes provided in the caching server configuration.
 | SNMP agent |
s64CacheNumNXDOMAINRedirects
Update: 60
 |
There are no triggers in this template.
By Ahrar Ahmad Khan
Visit the github link for Readme file
Ahrar Khan
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| S64 - SOA Queries |
-
 | SNMP agent |
numRRInQueries.6
Update: 60
 |
| CacheLatency256to511ms |
-
 | SNMP agent |
s64CacheLatency256to511ms.0
Update: 60
 |
| CacheLatencyLT64ms |
Number of lookups performed that took less than 64 milliseconds
 | SNMP agent |
s64CacheLatencyLT64ms
Update: 60
 |
| S64 - NS Queries |
-
 | SNMP agent |
numRRInQueries.2
Update: 60
 |
| S64 - A Queries |
-
 | SNMP agent |
numRRInQueries.1
Update: 60
 |
| Average QPS |
Average number of queries per second (QPS), since the last time this value was queried. Each time this value is queried, we determine the amount of elapsed time since the last SNMP query for it, and the total number of DNS queries since the last SNMP query for it, and calculate the number of queries per second over that interval.
 | SNMP agent |
s64CacheQPS
Update: 60
 |
| No of Query Rate Limited By Type |
-
 | SNMP agent |
s64CacheNumQueriesRateLimitedByType
Update: 60
 |
| CacheNumAnswersNXDOMAIN |
“Number of NXDOMAIN (non-existent domain) answers. This number should be a small percentage of the overall number of queries. A high number of NXDOMAIN answers can indicate a misconfiguration or a possible attack.”
 | SNMP agent |
s64CacheNumAnswersNXDOMAIN.0
Update: 60
 |
| S64 - MX Queries |
-
 | SNMP agent |
numRRInQueries.15
Update: 60
 |
| CacheNumAnswersNODATA |
Number of NODATA/NOERROR answers. These occur when the queried domain exists but the query for a particular type resulted in zero answer records.
 | SNMP agent |
s64CacheNumAnswersNODATA
Update: 60
 |
| CacheNumFailedValidations |
Number of failed validation attempts. Numerous failed validations can indicate configuration issues with trust anchors, a DLV, or keys. It can also indicate upstream chain of trust or key/signature problems.
 | SNMP agent |
s64CacheNumFailedValidations
Update: 60
 |
| CacheLatency512to1023ms |
-
 | SNMP agent |
s64CacheLatency512to1023ms.0
Update: 60
 |
| Secure64 Cache Version |
-
 | SNMP agent |
s64CacheVersion
Update: 1h
 |
| S64 - CNAME Queries |
-
 | SNMP agent |
numRRInQueries.5
Update: 60
 |
| CacheLatency128to255ms |
Number of lookups performed that took more than 128 milliseconds and up to 256 milliseconds.
 | SNMP agent |
s64CacheLatency128to255ms.0
Update: 60
 |
| CacheLatency2048to4095ms |
-
 | SNMP agent |
s64CacheLatency2048to4095ms.0
Update: 60
 |
| S64 - TXT Queries |
-
 | SNMP agent |
numRRInQueries.16
Update: 60
 |
| CacheLatency1024to2047ms |
-
 | SNMP agent |
s64CacheLatency1024to2047ms.0
Update: 60
 |
| S64 - AAAA Queries |
-
 | SNMP agent |
numRRInQueries.28
Update: 60
 |
| Secure64 Uptime |
-
 | SNMP agent |
s64CacheUptime
Update: 5m
 |
| S64 - SPF Queries |
-
 | SNMP agent |
numRRInQueries.99
Update: 60
 |
| CacheAnswerCacheSize |
Message cache size, in kb
 | SNMP agent |
s64CacheAnswerCacheSize.0
Update: 5m
 |
| Secure64 Status |
-
 | SNMP agent |
s64CacheRunning
Update: 60
 |
| Secure64 Cache Hits |
-
 | SNMP agent |
s64CacheNumHits
Update: 60
 |
| S64 - PTR Queries |
-
 | SNMP agent |
numRRInQueries.12
Update: 60
 |
| Number of Non Validating Lookups |
-
 | SNMP agent |
s64CacheNumNonValidatingLookups
Update: 60
 |
| S64 - DS Queries |
-
 | SNMP agent |
numRRInQueries.43
Update: 60
 |
| Secure64 Cache Misses |
-
 | SNMP agent |
s64CacheNumMises
Update: 60
 |
| S64 - ANY Queries |
-
 | SNMP agent |
numRRInQueries.255
Update: 60
 |
| CacheLatencyGT4095ms |
-
 | SNMP agent |
s64CacheLatencyGT4095ms.0
Update: 60
 |
| CacheNumAnswersSERVFAIL |
Number of SERVFAIL (server failure) answers. SERVFAIL responses can occur when validation fails and the data is bogus or when a bad packet is received.
 | SNMP agent |
s64CacheNumAnswersSERVFAIL
Update: 1m
 |
| Number of Validating Lookups |
-
 | SNMP agent |
s64CacheNumValidatingLookups
Update: 60
 |
| S64 - SRV Queries |
-
 | SNMP agent |
numRRInQueries.33
Update: 60
 |
| CacheLatency64to127ms |
Number of lookups performed that took more than 64 milliseconds and up to 128 milliseconds.
 | SNMP agent |
s64CacheLatency64to127ms.0
Update: 60
 |
| CacheReferralCacheSize |
-
 | SNMP agent |
s64CacheReferralCacheSize
Update: 5m
 |
| CacheNumPrefetchQueries |
Number of cache entries that were refreshed before their TTL expires. This is a performance enhancement intended to decrease the latency by prefetching popular entries to avoid cache misses. An entry is prefetched if it is queried with the last 10% of its TTL.
 | SNMP agent |
s64CacheNumPrefetchQueries
Update: 60
 |
| CacheNumNXDOMAINRedirects |
Number of NXDOMAIN responses that are redirected by attributes provided in the caching server configuration.
 | SNMP agent |
s64CacheNumNXDOMAINRedirects
Update: 60
 |
There are no triggers in this template.


Only True Long Coat King Size German Shepherd in North America!
Long Coat German Shepherds differ in their breeding from regular German shepherds in being more laid back, calmer, less energy and easy going. In general these gentle giants have better temperaments than what is encountered in the typical Short Coat German Shepherd as they are not aggressive and yet still very protective.
Curiously, a Long Coat is considered to be a "fault" when judging dogs in the show ring. As a result, most breeders and including Best Shepherds, breed for good "temperament", a nice personality, large size and soft coats. Probably as the result of their history of less inbreeding, the Long Hair Shepherds tend to have straighter backs and are less likely to develop "hip displacement" problems.
The Long Coat German Shepherd represents what the Old World Shepherds looked like, unlike "the modern dog show version". Believe it or not, the Long Coat Shepherds actually shed a lot less, except when Spring comes and they "blow off their coats”.
Here are a few pics of Koda at the cottage he is such a good pup! We love him a ton!!! He is extremely protective of Seb he is always by his side and just cries and worries whenever we are swimming. He is our fluffy goofball!!
- Gen from Ottawa
Sam's ears are up today! I love him so much and can't get over how smart he is! He is really becoming a very handsome boy. We have become extremely close in a relatively short period of time. Thanks for everything!
- John
We received Apollo from you about 2 years ago. He is doing wonderful and is a beautiful dog with a great personality. We are looking into getting another puppy, (a big male with a similar docile personality) Thank you so much!
- Chelsa from Lethbridge, alberta


This Ariana Grande Doppelgänger Is So On Point, Even Ariana Admitted She Was Shook
- Ariana Grande has a fan who looks exactly like her, and she’s shook.
- Ari’s doppelgänger is named Paige Niemann, and she’s a TikTok star with 1.6 million followers of her own.
You know the urban legend that says everyone has a doppelgänger out there somewhere in the world? Welp, Ariana Grande finally found hers, and if I am quite honest...it’s crazy how alike these two ladies look!
Enter in Paige Niemann, a teen TikTok star who decided one day that she was going to start dressing up like Ariana Grande. And BOY, did homegirl do the work!!!  Which is why when a Twitter user posted a video of Paige impersonating Ariana and Ariana saw the footage for herself, she was SHOOOOOK.
“I just wonder whyyyy the cat voice / dialogue. I am sure she is the sweetest sweet sweetheart forreal !! but it’s definitely bizarre seeing people blend the two worlds lmao,” Ariana replied to the vid.
While some fans were concerned for Ariana (I mean, wouldn’t you be if you found out you basically had a secret twin?), others were LIVING for Paige. “She’s actually so sweet! she’s 14-15 (i can’t remember which one), and she was always told that she looks like you, so she just learned how to do makeup like yours!” a user wrote. “It’s not like she has gone out of her way to get surgeries and such. it’s sad how much hate she gets.”
In case you don’t see it for whatever reason, here is Paige:
And here is Ariana:
I rest my case!!!
In the time since Ariana reacted to Paige’s video, Paige has gained about 30,000 new Instagram followers in addition to her 1.6 million TikTok followers. What a time to be alive!
Related Stories
Lili Reinhart's Celebrity Doppelgänger Is W-I-L-D
What Is Gradient, That Celebrity Lookalike App? Starr Bowenbank Editorial Assistant Starr Bowenbank is the editorial assistant who writes about all things pertaining to news, pop culture, and entertainment—you can follow her here.


|
Max API
8.2.0
|
Modules | |
| Atoms | |
| Atombufs | |
| An Atombuf is an alternative to Binbufs for temporary storage of atoms. | |
| Binbufs | |
| You won’t need to know about the internal structure of a Binbuf, so you can use the void * type to refer to one. | |
| Symbols | |
| Max maintains a symbol table of all strings to speed lookup for message passing. | |
Data Structures | |
| struct | t_rect |
| Coordinates for specifying a rectangular region. More... | |
| struct | t_pt |
| Coordinates for specifying a point. More... | |
| struct | t_size |
| Coordinates for specifying the size of a region. More... | |
Macros | |
| #define | CALL_METHOD_0(m) |
| Function pointer type for methods returning a long. | |
Typedefs | |
| typedef void *(* | zero_meth) (void *x) |
| Function pointer type for methods with no arguments. | |
| typedef void *(* | one_meth) (void *x, void *z) |
| Function pointer type for methods with a single argument. | |
| typedef void *(* | two_meth) (void *x, void *z, void *a) |
| Function pointer type for methods with two arguments. | |
| typedef long *(* | gimmeback_meth) (void *x, t_symbol *s, long ac, t_atom *av, t_atom *rv) |
| Function pointer type for methods that pass back a result value through the last parameter as a t_atom, and return an error. | |
Variables | |
| BEGIN_USING_C_LINKAGE typedef void *(* | method )(void *) |
| Function pointer type for generic methods. | |


This is a client side script, using Amazon's SDK. None of your information (particularily keys and passwords) are sent to us.
AWS Access Key
AWS Secret Key
HPX Version
Stack Prefix
Region
Redshift username
Redshift password (must be at least 8 chars, and contain at least one uppercase letter, one lowercase letter, and one number)
VPC Cidr Block
Whitelist IP Block (for access to the Redshift) (turn off adblock if you want to grab this automatically)
Create Stack
Check Stack


Positron is a synchronization tool for the Neuros portable music player. Positron allows you to individually add and delete tracks from a Neuros, as well as synchronize it with a directory tree of music, all from the command line. This document will teach you how to install and use positron.
This is a common question. As far as your computer is concerned, a Neuros is just an external USB hard disk, following the USB Mass Storage standard. No custom drivers are needed. You can copy any sort of file, music or otherwise, onto the Neuros. However, only files that are listed in a special database stored on the Neuros will be playable. This is what positron does. It will both physically copy files and update the Neuros database so those files are playable. If you copy music to the Neuros using cp or a filemanager, it will not be shown in the song listings.
This manual is divided into the following sections:
If you are interested in positron development or have other questions or comments, take a look at our contact information


Roslyn Code Club
by Jeffrey Yu
Don't know how to code? It's ok, neither do we.
We are the Roslyn Code Club
What we Do
- Weekly Meetings
- Bryant Library Workshops
- Computer Science Competitions
Workshops
- Personal Website
- Navigation Bar
- Tags and Embedding
Don't know how to code? It's ok, neither do we.
We are the Roslyn Code Club


Welcome to Pythonic-Template’s documentation!¶
Assets¶
Cache¶
Config¶
Database¶
-
class
db.mssql.
MsSqlDb
(connection_str)[source]¶ This core class provide supporting function (CRUD Operations) for MS SQL Server.
-
class
db.mysql.
MySqlDb
(connection_str)[source]¶ This core class provide supporting function (CRUD Operations) for MySQL Server.
Utilities¶
-
utilities.constant.
CONFIG_SECTION_ASSET
= 'CLOUDINARY'¶ To read asset storage setting from the config file framework using CONFIG_SECTION_ASSET constant to access.
CONFIG_SECTION_ASSET = “CLOUDINARY”
-
utilities.constant.
CONFIG_SECTION_CACHE
= 'REDIS'¶ To read Temp cache storge setting from the configuration file system utilize CONFIG_SECTION_CACHE constant.
CONFIG_SECTION_CACHE = “REDIS”
-
utilities.constant.
CONFIG_SECTION_DATABASE
= 'DATABASE'¶ To read database crediental from the configuration from system using Constant CONFIG_SECTION_DATABASE to access the DB settings.
CONFIG_SECTION_DATABASE = “DATABASE”
-
utilities.constant.
CONFIG_SECTION_LOG
= 'LOGS'¶ To read logging setting from configuration file system using CONFIG_SECTION_LOG constant to access.
CONFIG_SECTION_LOG = “LOGS”
-
utilities.constant.
DB_TYPE_MSSQL_SERVER
= 'MSSQLSERVER'¶ Database type constant DB_TYPE_MSSQL_SERVER value is “MSSQLSERVER”.
-
utilities.constant.
DB_TYPE_MYSQL_SERVER
= 'MYSQLSERVER'¶ Database type constant DB_TYPE_MYSQL_SERVER value is “MYSQLSERVER”.
-
utilities.constant.
DB_TYPE_ORACLE
= 'ORACLE'¶ Database type constant DB_TYPE_ORACLE value is “ORACLE”.
-
utilities.constant.
DB_TYPE_POSTGRESQL
= 'POSTGRESQL'¶ Database type constant DB_TYPE_POSTGRESQL value is “POSTGRESQL”.
-
utilities.constant.
LOG_ERRORS
= 'ERRORS'¶ Logging Type LOG_ERRORS value is “ERRORS”.
-
utilities.constant.
LOG_INFO
= 'INFO'¶ Logging Type LOG_INFO value is “INFO”.
-
utilities.constant.
STORAGE_TYPE_CLOUDINARY
= 'CLOUDINARY'¶ For Storage Type STORAGE_TYPE_IMGIX value is “IMGIX”.
-
utilities.constant.
STORAGE_TYPE_IMGIX
= 'IMGIX'¶ For Storage Type STORAGE_TYPE_IMGIX value is “IMGIX”.
-
utilities.constant.
STORAGE_TYPE_S3
= 'AWS_S3'¶ For Storage Type STORAGE_TYPE_IMGIX value is “IMGIX”.


WITNESS LIST Finance Committee September 13, 2004 - 9:00A Article VIII FOR: Hatchel, John Chair of Board (Texas State Board of Plumbing Examiners), Woodway, TX McDonald, Gary W. Board Member (Texas State Board of Dental Examiners), Kingwood, TX Price, Larry Cardiologist (Texas State Board of Medical Examiners), Temple, TX Quiram, Helen (Texas Cosmetology Commission), Waco, TX Snider, John Banking (Finance Commission -Texas Savings and Loan Department), Center, TX ON: Allen, Ron Executive Director (Texas Board of Veterinary Medical Examiners), Austin, TX Alonzo, Janie Acting Executive Director (Texas State Board of Podiatric Medical Examiners), Austin, TX Bennett, Jane Chief Accountant (Texas State Board of Pharmacy), Austin, TX Bryant, Vernon (Chair of the Finance Commission), Dallas, TX Cole, Keith Financial Officer (Texas Board of Veterinary Medical Examiners), Austin, TX Daniels, Jerry Accountant (Board of Barber Examiners), Austin, TX Dean, Michael Auditor (Texas State Auditor's Office), Austin, TX Dodson, Gay Executive Director (Texas State Board of Pharmacy), Austin, TX Fish III, Laurens Mortician (Texas Funeral Service Commission), Austin, TX Glass, Bradford Podiatrist (Texas State Board of Podiatric Medical Examiners), Midland, TX Gussoni, Martha Administrative Assistant (Texas Funeral Service Commission), Austin, TX Harwell, Jessica Director of Enforcement (Texas Board of Chiropracitc Examiners), Austin, TX Herman, Richard L. Chief Financial Officer (Texas State Board of Plumbing Examiners), Austin, TX Hess, Michael Executive Director (Texas Board of Professional Geoscientists), Austin, TX Horton, Charles Director (Health Professions Council/Office of Patient Protection), Austin, TX Houston, Vincent Chief Financial Officer (Texas Board of Professional Geoscientists), Austin, TX Humphrey, Antoinette Executive Director (Texas Cosmetology Commission), Austin, TX Hunt, Deborah Williamson County Tax Assesor/Collector (Texas Board of Tax Professional Examiners Texas Board of Tax Professional Examiners), Georgetown, TX James, Randall S. Banking Commissioner (Texas Department of Banking), Austin, TX Kloeris, Chris Executive Director (Texas Optometry Board), Austin, TX Makan, Herman Investigator (Texas State Board of Podiatric Medical Examiners), Austin, TX Maline, John Executive Director (Executive Council of Physical and Occupational Therapy Examiners), Austin, TX Maxwell, Robert L. "Bob" Executive Director (Texas State Board of Plumbing Examiners), Austin, TX McPherson, Carol Director of Administration (Texas State Board of Dental Examiners), Austin, TX Montoya, David E. (Board of Tax Professional Examiners), Austin, TX Newberg, Stephanie Deputy (Texas Department of Banking), Austin, TX Newton, John Assistant Director (Legislative Budget Board), Austin, TX Noack, Jennifer Accountant (Texas Funeral Service Commission), Austin, TX Parker, Glenn Executive Director (Board of Barber Examiners), Austin, TX Patrick, Donald Executive Director (Texas State Board of Medical Examiners), Austin, TX Payne, Danny Commissioner (Texas Savings and Loan Department), Austin, TX Pettijohn, Leslie L. Commissioner (Office of the Consumer Credit Commissioner), Austin, TX Raggette, Annette P. (Texas State Board of Medical Examiners), Austin, TX Robbins, O.C. "Chet" Executive Director (The Texas Funeral Service Commission), Austin, TX Schmidt, Bobby D. Executive Director (Texas State Board of Dental Examiners), Austin, TX Smith, Sandra Executive Director (Texas Board of Chiropractic Examiners), Austi, TX Southard, Paulette (Texas State Board of Medical Examiners), Alice, TX Stella, Cathy (Texas State Board of Pharmacy), Austin, TX Thomas, Katherine A. Administrator (Health Professions Council), Austin, TX Vice, Sandra Auditor (Texas State Auditor's Office), Austin, TX Walker, Jerry T. Deputy Executive Director (Texas State Board of Medical Examiners), Austin, TX Whittington, Harry M. Attorney (Chair of Funeral Service Commission Board), Austin, TX Whittington, Harry M. Attorney (Office of Patient Protection), Austin, TX Wofford, Margaret CFO (Texas Savings and Loan Department), Austin, TX Registering, but not testifying: For: Rouff, Michael Director of Enforcement (Texas Cosmetology Commission), Austin, TX Rupert, Darrel CPA (Texas Cosmetology Commission), Austin, TX


--- title: TMY: Typical Meteorological Year keywords: fastai sidebar: home_sidebar summary: "Reading different types of tmy files" ---
DATAPATH = Path.cwd().parent/'data'
DATAPATH.ls()
We can ingest a tmy from pvgis and coerce on year 2019 using this function:
gps_data, months_year, data = read_pvgis(DATAPATH/'pvgis_tmy_chambery.csv', coerce_year=2019)
gps_data
We also recover the correspondance
months_year
data.head()
May be useful, don't remeber.


I
want to join the
Football
Soccer
Base ball
Tennis
team.
My email is
I also choose
as password to review changes to my account
Home
See Members


Home
About
Hi I'm Matt. Welcome to my portfolio.
Some of my intrests:
Coding
Learning about new tech
Hanging with my family and friends
Playing video games


Winter - December of previous year, January, February
Spring - March, April, May
Summer - June, July, August
Fall - September, October, November
Annual - January through December of the same calendar year


First of all, note that the gap where the positioned element should be in the document flow is no longer there — the first and third elements have closed together like it no longer exists! Well, in a way, this is true. An absolutely positioned element no longer exists in the normal document layout flow. Instead, it sits on its own layer separate from everything else. This is very useful — it means that we can create isolated UI features that don't interfere with the position of other elements on the page — for example popup


gone |
Simplification to check and setup view as gone. var View.gone: Boolean |
invisible |
Simplification to check and setup view as invisible. var View.invisible: Boolean |
visible |
Simplification to check and setup view as visible. var View.visible: Boolean |


{{ head }}
A box is used to wrap content in a rounded gray container, like in the menu and the preview of these docs pages
<div class="box"> This is a box </div>


I recently stumbled onto the San Francisco Police Deparatment’s Incidents Dataset, which caught my interest and I decided to investigate further.
This dataset contains records of all the Incidents derived from SFPD Crime Incident Reporting system from 01/01/2003 up until 31/12/2014.
It contains almost 2 million incidents, where each incident has 13 data variables showing the Category, Description, and Resolution of the incident along with Date, Time and Location details.
From these it is possible to explore the data in some detail and also create some geo-data maps of incident locations.
Let’s firstly take a look at the main types of information it contains.
Category is a broad umbrella term to easily determine the nature of the incident. There are 39 categories with these being the most numerous:
sf.data %>%
group_by(Category) %>%
summarise(Num=n()) %>%
arrange(desc(Num)) %>%
head() %>%
kable()
| Category | Num |
|---|---|
| Larceny/Theft | 374680 |
| Other Offenses | 263432 |
| Non-Criminal | 195806 |
| Assault | 161609 |
| Vehicle Theft | 112148 |
| Drug/Narcotic | 110181 |
sf.data %>%
select(Category) %>%
group_by(Category) %>%
summarise(Num=n()) %>%
arrange(desc(Num)) %>%
head(7) %>%
ggplot(aes(x=Category, y=Num)) +
geom_bar(stat = "identity", aes(fill=Category)) +
theme(axis.text.x=element_blank()) +
labs(x="Category",
y = "Number",
title="Top Incident Categories") +
scale_y_continuous(labels = comma)
The dataset also contains a finer grain summary of each incident; these examples are from taken from the Drug/Narcotic category:
sf.data %>%
filter(Category=="Drug/Narcotic") %>%
group_by(Descript) %>%
summarise(Num=n()) %>%
arrange(desc(Num)) %>%
head() %>%
kable()
| Descript | Num |
|---|---|
| Possession Of Narcotics Paraphernalia | 20486 |
| Possession Of Base/Rock Cocaine | 14109 |
| Possession Of Marijuana | 11228 |
| Sale Of Base/Rock Cocaine | 8805 |
| Possession Of Meth-Amphetamine | 7551 |
| Possession Of Base/Rock Cocaine For Sale | 7364 |
The outcome of the incident. Shown below are most common outcomes in the Weapon Laws category.
sf.data %>%
filter(Category=="Weapon Laws") %>%
group_by(Resolution) %>%
summarise(Num=n()) %>%
arrange(desc(Num)) %>%
head() %>%
kable()
| Resolution | Num |
|---|---|
| Arrest, Booked | 10554 |
| None | 4874 |
| Arrest, Cited | 1156 |
| Juvenile Booked | 636 |
| Juvenile Cited | 262 |
| Juvenile Admonished | 191 |
For ease of analysis a new ‘Arrested’ variable was created which simplifies two arrest resolutions (“Arrest, Booked” and “Arrest, Cited”) as 1, and all the other Resolutions as 0.
sf.data <- sf.data %>%
mutate(Arrested=ifelse(grepl("Arrest", Resolution), 1, 0))
This allows us to easily show the incidents with the highest arrest rate:
sf.data %>%
group_by(Category) %>%
summarise(Num=n(),
Arrested=sum(Arrested),
PercentArrested=round(100*sum(Arrested)/n(), 0)) %>%
arrange(desc(PercentArrested)) %>%
head(9) %>%
kable()
| Category | Num | Arrested | PercentArrested |
|---|---|---|---|
| Driving Under The Influence | 4867 | 4558 | 94 |
| Prostitution | 15429 | 14434 | 94 |
| Warrants | 87945 | 81579 | 93 |
| Drug/Narcotic | 110181 | 98538 | 89 |
| Loitering | 2340 | 2040 | 87 |
| Liquor Laws | 3821 | 3221 | 84 |
| Stolen Property | 9825 | 8060 | 82 |
| Drunkenness | 8882 | 7212 | 81 |
| Other Offenses | 263432 | 183513 | 70 |
And also the incidents with the lowest:
sf.data %>%
group_by(Category) %>%
summarise(Num=n(),
Arrested=sum(Arrested),
PercentArrested=round(100*sum(Arrested)/n(), 0)) %>%
arrange(desc(PercentArrested)) %>%
tail(9) %>%
kable()
| Category | Num | Arrested | PercentArrested |
|---|---|---|---|
| Larceny/Theft | 374680 | 31419 | 8 |
| Recovered Vehicle | 6346 | 395 | 6 |
| Bad Checks | 849 | 45 | 5 |
| Non-Criminal | 195806 | 10082 | 5 |
| Suspicious Occ | 66176 | 2926 | 4 |
| Vehicle Theft | 112148 | 4381 | 4 |
| Suicide | 1108 | 32 | 3 |
| Missing Person | 54344 | 1224 | 2 |
| Runaway | 3957 | 17 | 0 |
sf.data %>%
group_by(Category) %>%
summarise(Num=n(),
Arrested=sum(Arrested),
Percent=round(100*sum(Arrested)/n(), 0)) %>%
arrange(desc(Percent)) %>%
head(9) %>%
ggplot(aes(x=reorder(Category, -Percent),
y=Percent,
fill=reorder(Category, -Percent))) +
geom_bar(stat = "identity") +
theme(axis.text.x=element_blank(),
legend.title=element_blank()) +
labs(x="Category",
y = "Percent Arrested",
title="Percent Arrested per Category of Incident") +
ylim(c(0,100))
Having briefly looked at arrest rates, let’s move onto crime location.
As a visitor to San Fransisco the crimes that would interest me most (in a can I avoid them kind of way) would probably be robbery and theft.
These appear to grouped under the following descriptions:
sf.p.lt <-
sf.data %>%
filter(Category=="Larceny/Theft" &
grepl("Person|Pursesnatch|Pickpocket|Credit Card", Descript) |
Category=="Robbery" &
!grepl("Bank|Carjacking|Store|Residence|Vehicle|Station|Estab", Descript))
sf.p.lt %>%
group_by(Descript) %>%
summarise(Num=n()) %>%
arrange(desc(Num)) %>%
head(10) %>%
kable()
| Descript | Num |
|---|---|
| Grand Theft From Person | 14799 |
| Robbery On The Street, Strongarm | 13837 |
| Grand Theft Pickpocket | 11728 |
| Robbery, Bodily Force | 9407 |
| Robbery On The Street With A Gun | 4278 |
| Attempted Robbery On The Street With Bodily Force | 2349 |
| Robbery, Armed With A Gun | 2292 |
| Attempted Robbery With Bodily Force | 1610 |
| Robbery On The Street With A Knife | 1535 |
| Grand Theft Pursesnatch | 1487 |
sf.big.box = c(-122.52,37.7,-122.35,37.82)
big.map <- get_map(location = sf.big.box)
ggmap(big.map) +
geom_point(data = sf.p.lt, aes(x=X, y=Y),
color = "red", size = 0.6, alpha = 0.3) +
labs(title = "Locations of Robbery/Theft Incidents in San Francisco")
This map shows that Robbery/Theft occurs all over SF, but gives little indication of which areas are better or worse than others.
Let’s look at a contour map and see if there are any hotspots.
# Larceny/Theft Contours
ggmap(big.map, extent='device', legend="bottomright") +
stat_density2d(data = sf.p.lt,
aes(x = X, y = Y, fill = ..level.., alpha=..level..),
size = 0.1, colour="red", n=100, geom = "polygon") +
scale_alpha_continuous(range=c(0.6,0.8), guide='none') +
scale_fill_gradient('Robbery\nTheft\nDensity')+
ggtitle('Robbery/Theft Density in San Francisco')
There are some definite hotspots there so we’ll zoom in and take a closer look.
# more focussed map for larceny centre
zoom.centre = c(-122.41, 37.79)
zoom.map <- get_map(location=zoom.centre, zoom = 14)
# Larceny/Theft Contours
ggmap(zoom.map, extent='device', legend="topleft") +
stat_density2d(data = sf.p.lt,
aes(x = X, y = Y, fill = ..level.., alpha=..level..),
size = 0.1, colour="red", n=100,
geom = "polygon") +
scale_alpha_continuous(range=c(0.2,0.4), guide='none') +
scale_fill_gradient('Robbery\nTheft\nDensity')+
ggtitle('Robbery/Theft Density in San Francisco')
An even closer look at the central district
# more focussed map for larceny centre
big.zoom.centre = c(-122.409, 37.786)
big.zoom.map <- get_map(location=zoom.centre, zoom = 15)
# Larceny/Theft Contours
ggmap(big.zoom.map, extent='device', legend="topleft") +
stat_density2d(data = sf.p.lt,
aes(x = X, y = Y, fill = ..level.., alpha=..level..),
size = 0.1, colour="red", n=200, geom = "polygon") +
scale_alpha_continuous(range=c(0.05, 0.1), guide='none') +
scale_fill_gradient('Robbery\nTheft\nDensity')+
ggtitle('Robbery/Theft Density in San Francisco')
From the map it’s clear that there are areas with elevated levels of robbery/theft, and with the shading mostly removed its possible to see that one of the strongest centres is the area area around Powel St Station.
Obviously no-one wants to be a victim of larceny/theft, but robbery (with violence or threat) is likely to be worse - do these two sets of crimes happen in different places?
Larceny contours are in blue, Robbery contours in red.
# Larceny - Blue
# Robbery - Red
ggmap(big.zoom.map, extent='device') +
stat_density2d(data = sf.p.lt %>% filter(Category=="Larceny/Theft"),
aes(x = X, y = Y, fill = ..level.., alpha=..level..),
colour="blue", n=200, geom = "polygon", bins=7) +
stat_density2d(data = sf.p.lt %>% filter(Category=="Robbery"),
aes(x = X, y = Y, fill = ..level.., alpha=..level..),
colour="red", n=200, geom = "polygon", bins=7) +
scale_alpha_continuous(range=c(0.0,0.1), guide='none') +
scale_fill_gradient('Robbery\nTheft\nDensities') +
ggtitle('Robbery/Theft Contours in San Francisco') +
theme(legend.position = "none")
From the overlapping contours it seems that these two categories of crimes happen in broadly the same areas with only minor differences.


Estimator augmentation methods for statistical inference on high-dimensional data, as described in Zhou, Q. (2014) <arXiv:1401.4425v2> and Zhou, Q. and Min, S. (2017) <doi:10.1214/17-EJS1309>. It provides several simulation-based inference methods: (a) Gaussian and wild multiplier bootstrap for lasso, group lasso, scaled lasso, scaled group lasso and their de-biased estimators, (b) importance sampler for approximating p-values in these methods, (c) Markov chain Monte Carlo lasso sampler with applications in post-selection inference.
| Version: | 0.2.3 |
| Depends: | R (≥ 3.2.3) |
| Imports: | stats, graphics, msm, mvtnorm, parallel, limSolve, MASS, hdi, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2017-12-02 |
| Author: | Seunghyun Min [aut, cre], Qing Zhou [aut] |
| Maintainer: | Seunghyun Min <seunghyun at ucla.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | EAinference results |
| Reference manual: | EAinference.pdf |
| Vignettes: |
Introduction to EAinference |
| Package source: | EAinference_0.2.3.tar.gz |
| Windows binaries: | r-devel: EAinference_0.2.3.zip, r-release: EAinference_0.2.3.zip, r-oldrel: EAinference_0.2.3.zip |
| OS X binaries: | r-release: EAinference_0.2.3.tgz, r-oldrel: EAinference_0.2.3.tgz |
| Old sources: | EAinference archive |
Please use the canonical form https://CRAN.R-project.org/package=EAinference to link to this page.