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The last phase in a Design Sprint is the testing phase. Usability testing refers to evaluating a product or service by testing it with representative users to identify any usability problems, collect qualitative and quantitative data and determine the participant's satisfaction with the product.


{% from "macros/_form.html" import render_form %} {% extends 'setup/layout.html' %} {% block css %} {% endblock %} {% block pagejs %} {% endblock %} {% block body %}
In this section, please provide the address of the computer which is connected to the AlarmDecoder device as well as the port that is opened by ser2sock or your IP-to-serial gateway device. Optionally, you can choose to connect the stream using encryption.


@Documented @Target(value={TYPE,METHOD}) @Retention(value=RUNTIME) @Inherited @PropertyStoreApply(value=JsonConfigApply.class) public @interface JsonConfig
JsonSerializer
and JsonParser
.
Used primarily for specifying bean configuration properties on REST classes and methods.
| Modifier and Type | Optional Element and Description |
|---|---|
String |
addBeanTypes
Configuration property: Add
|
String |
escapeSolidus
Configuration property: Prefix solidus
|
int |
rank
Optional rank for this config.
|
String |
simpleMode
Configuration property: Simple JSON mode.
|
String |
validateEnd
Configuration property: Validate end.
|
public abstract int rank
Can be used to override default ordering and application of config annotations.
public abstract String validateEnd
If
public abstract String addBeanTypes
If
When present, this value overrides the Serializer.SERIALIZER_addBeanTypes
setting and is
provided to customize the behavior of specific serializers in a SerializerGroup
.
public abstract String escapeSolidus
If
However, if you're embedding JSON in an HTML script tag, this setting prevents confusion when trying to serialize
public abstract String simpleMode
If
Otherwise, they are always quoted.
Attributes do not need to be quoted when they conform to the following:
arguments, break, case, catch, class, const, continue, debugger, default, delete, do, else, enum, eval, export, extends, false, finally, for, function, if, implements, import, in, instanceof, interface, let, new, null, package, private, protected, public, return, static, super, switch, this, throw, true, try, typeof, var, void, while, with, undefined, yield
Copyright © 2016–2019 The Apache Software Foundation. All rights reserved.


ALSdk Class Reference
| Inherits from | NSObject |
|---|---|
| Declared in | ALSdk.h |
version
The current version of the SDK. The returned value will be in the format of “
@property (class, nonatomic, copy, readonly) NSString *version
Discussion
The current version of the SDK. The returned value will be in the format of “
Declared In
ALSdk.h
sdkKey
This SDK’s SDK key.
@property (nonatomic, copy, readonly) NSString *sdkKey
Discussion
This SDK’s SDK key.
Declared In
ALSdk.h
settings
This SDK’s SDK settings.
@property (nonatomic, strong, readonly) ALSdkSettings *settings
Discussion
This SDK’s SDK settings.

Declared In
ALSdk.h
mediationProvider
Set mediation provider using one of the provided strings in ALMediationProvider.h, or your own if not defined.
@property (nonatomic, copy, nullable) NSString *mediationProvider
Discussion
Set mediation provider using one of the provided strings in ALMediationProvider.h, or your own if not defined.
Declared In
ALSdk.h
adService
This service is used to load and display ads from AppLovin servers.
@property (nonatomic, strong, readonly) ALAdService *adService
Discussion
This service is used to load and display ads from AppLovin servers.
Declared In
ALSdk.h
nativeAdService
Get an instance of AppLovin Native Ad service. This service is used to fetch and display native ads from AppLovin servers.
@property (nonatomic, strong, readonly) ALNativeAdService *nativeAdService
Return Value
Native ad service. Guaranteed not to be null.
Discussion
Get an instance of AppLovin Native Ad service. This service is used to fetch and display native ads from AppLovin servers.
Declared In
ALSdk.h
postbackService
Get an instance of the AppLovin postback service. This service is used to dispatch HTTP GET postbacks to arbitrary URLs.
@property (nonatomic, strong, readonly) ALPostbackService *postbackService
Return Value
Postback service. Guaranteed not to be null.
Discussion
Get an instance of the AppLovin postback service. This service is used to dispatch HTTP GET postbacks to arbitrary URLs.
Declared In
ALSdk.h
eventService
Get an instance of the AppLovin event service. This service is used to track post-install user events.
@property (nonatomic, strong, readonly) ALEventService *eventService
Return Value
Event service. Guaranteed not to be null.
Discussion
Get an instance of the AppLovin event service. This service is used to track post-install user events.
Declared In
ALSdk.h
userService
Service object for performing user-related tasks.
@property (nonatomic, strong, readonly) ALUserService *userService
Return Value
User service. Guaranteed not to be null.
Discussion
Service object for performing user-related tasks.
Declared In
ALSdk.h
variableService
Get an instance of the AppLovin variable service. This service is used to perform various AB tests that you have set up on your AppLovin dashboard on your users.
@property (nonatomic, strong, readonly) ALVariableService *variableService
Return Value
Variable service. Guaranteed not to be null.
Discussion
Get an instance of the AppLovin variable service. This service is used to perform various AB tests that you have set up on your AppLovin dashboard on your users.
Declared In
ALSdk.h
userIdentifier
Set an identifier for the current user. This identifier will be tied to SDK events and our optional S2S postbacks.
@property (nonatomic, copy, nullable) NSString *userIdentifier
Discussion
Set an identifier for the current user. This identifier will be tied to SDK events and our optional S2S postbacks.
If you’re using reward validation, you can optionally set an identifier to be included with currency validation postbacks. For example, a username or email. We’ll include this in the postback when we ping your currency endpoint from our server.
Declared In
ALSdk.h
– showMediationDebugger
Present the mediation debugger UI. This debugger tool provides the status of your integration for each third-party ad network.
- (void)showMediationDebugger
Discussion
Present the mediation debugger UI. This debugger tool provides the status of your integration for each third-party ad network.
Please call this method after the SDK has initialized, e.g. in the completionHandler of [ALSdk initializeSdkWithCompletionHandler:].
Declared In
ALSdk.h
– initializeSdk
Initialize the SDK.
- (void)initializeSdk
Discussion
Initialize the SDK.
Declared In
ALSdk.h
– initializeSdkWithCompletionHandler:
Initialize the SDK with a given completion block.
- (void)initializeSdkWithCompletionHandler:(nullable ALSdkInitializationCompletionHandler)completionHandler
Parameters
completionHandler |
The callback that will be run when the SDK finishes initializing. |
|---|
Discussion
Initialize the SDK with a given completion block.
The callback will be invoked on the main thread.
Declared In
ALSdk.h
+ initializeSdk
Initialize the default instance of AppLovin SDK.
+ (void)initializeSdk
Discussion
Initialize the default instance of AppLovin SDK.
Please make sure your SDK key is set in the application’s Info.plist under the property ‘AppLovinSdkKey’.
Declared In
ALSdk.h
+ initializeSdkWithCompletionHandler:
Initialize the default instance of AppLovin SDK.
+ (void)initializeSdkWithCompletionHandler:(nullable ALSdkInitializationCompletionHandler)completionHandler
Parameters
completionHandler |
The callback that will be run on the main queue when the SDK finishes initializing. |
|---|
Discussion
Initialize the default instance of AppLovin SDK.
Please make sure your SDK key is set in the application’s Info.plist under the property ‘AppLovinSdkKey’.
Declared In
ALSdk.h
+ shared
Get a shared instance of AppLovin SDK.
+ (nullable ALSdk *)shared
Return Value
The shared instance of AppLovin’s SDK, or nil if SDK key is not set in the application’s Info.plist.
Discussion
Get a shared instance of AppLovin SDK.
Please make sure your SDK key is set in the application’s Info.plist under the property ‘AppLovinSdkKey’.
Declared In
ALSdk.h
+ sharedWithSettings:
Get a shared instance of AppLovin SDK.
+ (nullable ALSdk *)sharedWithSettings:(ALSdkSettings *)settings
Parameters
settings |
SDK settings object. |
|---|
Return Value
The shared instance of AppLovin’s SDK, or nil if SDK key is not set in the application’s Info.plist.
Discussion
Get a shared instance of AppLovin SDK.
Please make sure your SDK key is set in the application’s Info.plist under the property ‘AppLovinSdkKey’.
Declared In
ALSdk.h
+ sharedWithKey:
Get an instance of AppLovin SDK using the provided SDK key.
+ (nullable ALSdk *)sharedWithKey:(NSString *)key
Parameters
key |
SDK key to use for the instance of the AppLovin SDK. |
|---|
Return Value
An instance of AppLovinSDK, or nil if SDK key is not set.
Discussion
Get an instance of AppLovin SDK using the provided SDK key.
Declared In
ALSdk.h
+ sharedWithKey:settings:
Get an instance of AppLovin SDK using the provided SDK key and SDK settings.
+ (nullable ALSdk *)sharedWithKey:(NSString *)key settings:(ALSdkSettings *)settings
Parameters
key |
SDK key to use for the instance of the AppLovin SDK. |
|---|---|
settings |
SDK settings object. |
Return Value
An instance of AppLovinSDK, or nil if SDK key is not set.
Discussion
Get an instance of AppLovin SDK using the provided SDK key and SDK settings.
Declared In
ALSdk.h


Use Basic Completion (&shortcut:CodeCompletion;) within HTML, CSS and other files, for completing image file names.


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|---|---|---|
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| Current Team | New Team | |
|---|---|---|
| Formation: | {{ current_team.formation|join:"-" }} | {{ optimal_team.formation|join:"-" }} |
| Starting 11 total {{ opt_param_verbose }}: | {{ current_team.score_11 }} | {{ optimal_team.score_11 }} |
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Learning Operating System
A service that gives learners a site to examine their progress and projects that they have worked on whilst attending the guild.
Learning Operating System
A service that gives learners a site to examine their progress and projects that they have worked on whilst attending the guild.


Unconsolidated to strongly consolidated alluvial and eolian deposits. This unit includes: coarse, poorly sorted alluvial fan and terrace deposits on middle and upper piedmonts and along large drainages; sand, silt and clay on alluvial plains and playas; and wind-blown sand deposits.
QTb
Holocene to Middle Pliocene Basaltic Rocks (0-4 Ma)
Mostly dark-colored basaltic lava and cinders young enough that some original volcanic landforms are still apparent. Includes a small amount of andesite, dacite, and rhyolite. Rocks of this map unit are largely restricted to six areas widely distributed in Arizona: San Francisco and Uinkaret volcanic fields in northern Arizona (0-4 Ma); Springerville (0-4 Ma) and San Carlos (0-2 Ma) volcanic fields in east-central Arizona; and San Bernardino (0-1 Ma) and Sentinel (1-4 Ma) volcanic fields in southern Arizona. Rocks of this unit are also present in the extreme southwestern part of Arizona where they were erupted at the edge of the Pinacate volcanic field (0-2 Ma) in northwestern Sonora.
QTv
Holocene to Middle Pliocene Volcanic Rocks (0-4 Ma)
Rhyolite to andesite deposited as a sequence of lava flows and associated rocks; generally light to medium gray, tan, or reddish brown. These rocks are part of the San Francisco volcanic field.
Qr
Holocene River Alluvium (0-10 ka)
Unconsolidated to weakly consolidated sand and gravel in river channels and sand, silt, and clay on floodplains. Also includes young terrace deposits fringing floodplains.
Qy
Holocene Surficial Deposits (0-10 ka)
Unconsolidated deposits associated with modern fluvial systems. This unit consists primarily of fine-grained, well-sorted sediment on alluvial plains, but also includes gravelly channel, terrace, and alluvial fan deposits on middle and upper piedmonts.
Qm
Late And Middle Pleistocene Surficial Deposits (10-750 ka)
Unconsolidated to weakly consolidated alluvial fan, terrace, and basin-floor deposits with moderate to strong soil development. Fan and terrace deposits are primarily poorly sorted, moderately bedded gravel and sand, and basin-floor deposits are primarily sand, silt, and clay.
Qo
Early Pleistocene to Latest Pliocene Surficial Deposits (0.75-3 Ma)
Coarse relict alluvial fan deposits that form rounded ridges or flat, isolated surfaces that are moderately to deeply incised by streams. These deposits are generally topographically high and have undergone substantial erosion. Deposits are moderately to strongly consolidated, and commonly contain coarser grained sediment than younger deposits in the same area.
QTs
Early Pleistocene to Late Miocene Basin Deposits (0.75-10 Ma)
Poorly sorted, variably consolidated gravel and sand that range widely in age. These sediments are generally light gray or tan. This unit is generally mapped in areas of deep late Cenozoic stream incision and landscape degradation where thin Quaternary deposits (map units Qy, Qm, Qo) discontinuously blanket older deposits (map units Tsy or Tsm) and the two cannot be differentiated at the scale of this map.
Tvy
Pliocene to Middle Miocene Volcanic Rocks (2-12 Ma).
Rhyolite to andesite deposited as lava flows and related rocks associated with basaltic rocks of map units Tby and Tb.
Tsy
Pliocene to Middle Miocene Deposits (2-16 Ma)
Moderately to strongly consolidated conglomerate and sandstone deposited in basins during and after late Tertiary faulting. Includes lesser amounts of mudstone, siltstone, limestone, and gypsum. These deposits are generally light gray or tan. They commonly form high rounded hills and ridges in modern basins, and locally form prominent bluffs. Deposits of this unit are widely exposed in the dissected basins of southeastern and central Arizona.
Tby
Pliocene to Late Miocene Basaltic Rocks (4-8 Ma)
Mostly dark, inconspicuously flat, low-lying or mesa-forming basalt deposited as lava flows. Rocks included in this unit are located almost entirely in the large volcanic fields south and west of Flagstaff, in smaller fields in northwesternmost Arizona, and in the Hopi Buttes volcanic field on the Navajo and Hopi Indian Reservations north of Holbrook. Original volcanic landforms have been obscured by erosion.
Tb
Late to Middle Miocene Basaltic Rocks (8-16 Ma)
Mostly dark, mesa-forming basalt deposited as lava flows. Rocks of this unit are widely exposed south of Camp Verde (Hickey Formation basalts), in the Mohon Mountains north of Bagdad, "The Mesa" east of Parker, and at other scattered locations in western Arizona. Rocks of this unit were not tilted by middle-Tertiary normal faulting except in a narrow belt from north of Phoenix to the northwest corner of the state.
Tsv
Middle Miocene to Oligocene Volcanic And Sedimentary Rocks, Undivided (11-32 Ma)
Sequences of diverse volcanic rocks with abundant interbedded sedimentary rocks.
Tsm
Middle Miocene to Oligocene Sedimentary Rocks (11-32 Ma)
Conglomerate, sandstone, mudstone, limestone, and rock-avalanche breccia (sheet-like deposits of crushed rock) deposited and tilted during widespread normal faulting and basin development. Sediments, mostly conglomerate and sandstone, are commonly medium to dark brown, reddish brown, or brownish gray; younger strata are generally lighter colors. Most deposits are 20 to 30 Ma in southeastern Arizona and 15 to 25 Ma in central and western Arizona.
Tv
Middle Miocene to Oligocene Volcanic Rocks (11-38 Ma)
Lava, tuff, fine-grained intrusive rock, and diverse pyroclastic rocks. These compositionally variable volcanic rocks include basalt, andesite, dacite, and rhyolite. Thick felsic volcanic sequences form prominent cliffs and range fronts in the Black (Mohave County), Superstition, Kofa, Eagletail, Galiuro, and Chiricahua Mountains. This unit includes regionally extensive ash-flow tuffs, such as the Peach Springs tuff of northwestern Arizona and the Apache Leap tuff east of Phoenix. Most volcanic rocks are 20-30 Ma in southeastern Arizona and 15 to 25 Ma in central and western Arizona, but this unit includes some late Eocene rocks near the New Mexico border in east-central Arizona.
Tg
Middle Miocene to Oligocene Granitic Rocks (14-26 Ma)
Granite to diorite representing solidified magma chambers that were the likely source of overlying and nearby volcanic rocks of map unit Tv. The granitic rocks are typically equigranular and fine- to medium-grained.
Ti
Middle Miocene to Oligocene Shallow Intrusions (14-35 Ma)
Generally very fine-grained, porphyritic rhyolite to dacite in small, irregular-shaped bodies formed as subvolcanic intrusions in volcanic fields of southern and western Arizona, or in concentrated zones of dikes in the Mohave and Black Mountains of northwestern Arizona. The unit consists of mafic tuff, breccia and shallow intrusions at Buell Park in northeastern Arizona.
TXgn
Tertiary to Early Proterozoic Gneissic Rocks (15-1800 Ma)
Gneissic rocks with complex histories, typically with well developed, light-colored granitoid layers and dark-colored biotite- and amphibole-rich layers. Protoliths are of Tertiary to Proterozoic age. This unit includes variably mylonitic gneisses in metamorphic core complexes that have been exhumed from middle crustal levels by large-displacement middle Tertiary normal faults, and gneiss exposed at scattered locations near the Colorado River in southwestern Arizona. These rocks are interpreted to record Proterozoic, Mesozoic, and Tertiary metamorphism and deformation.
Tso
Oligocene to Paleocene[?] Sedimentary Rocks (30-65 Ma)
Light colored, weakly to moderately consolidated conglomerate and sandstone deposited largely or entirely before mid-Tertiary volcanism and extensional faulting. Most sediment was deposited by early Cenozoic streams that flowed northeastward onto the Colorado Plateau from areas to the southwest that are now lower in elevation than the Plateau. Sediments of this map unit, other than the Chuska Sandstone in northeasternmost Arizona, are commonly referred to as "rim gravels" because they now rest on or near the Mogollon Rim, which is the southwestern edge of the Colorado Plateau.
TKgm
Early Tertiary to Late Cretaceous Muscovite-Bearing Granitic Rocks (50-80 Ma)
Light-colored peraluminous muscovite granite with or without garnet; commonly forms sills and is associated with abundant pegmatite dikes and sills. This unit includes granites in the Harcuvar and Harquahala Mountains of western Arizona and in the Santa Catalina, Rincon, Tortolita, Picacho, and Coyote Mountains of south-central Arizona. These granites typically represent the youngest phase of voluminous magmatism during the Laramide orogeny in Arizona. This unit also includes several muscovite-bearing granites in southern Arizona that are associated with calc-alkaline granites of unit TKg, and a batho-lith in the Cabeza Prieta area of southwestern Arizona.
TKg
Early Tertiary to Late Cretaceous Granitic Rocks (50-82 Ma).
Porphyritic to equigranular granite to diorite emplaced during the Laramide orogeny. Larger plutons are characteristically medium-grained, biotite +/- hornblende granodiorite to granite. Smaller, shallow-level intrusions are typically porphyritic. Most of the large copper deposits in Arizona are associated with porphyritic granitic rocks of this unit, and are thus named 'porphyry copper deposits'.
Kv
Early Tertiary to Late Cretaceous Volcanic Rocks (50-82 Ma)
Rhyolite to andesite and closely associated sedimentary and near-surface intrusive rocks; commonly dark gray to dark greenish gray or greenish brown. In the ranges west of Tucson, this unit includes thick welded ash-flow tuffs. Volcanic rocks of this unit are inferred to be derived from vents and volcanoes above magma chambers that solidified to form the granitic rocks of map unit TKg. These rocks are restricted to southeastern Arizona except for a small outcrop near Bagdad.
Mostly gray, fine-grained quartz-feldspar-mica schist, with sparse weakly metamorphosed basalt. The unit is exposed in tectonic windows in the southwestern corner of Arizona. It is interpreted as metamorphosed marine sandstone that was tectonically emplaced beneath southwestern Arizona during early Tertiary subduction of Pacific Ocean sea floor.
KJs
Cretaceous to Upper Jurassic Sedimentary Rocks with Minor Volcanic Rocks (80-160 Ma)
Sandstone and conglomerate, rarely forms prominent outcrops; massive conglomerate is typical near base of unit and locally in upper part. These deposits are nonmarine except in southeastern Arizona, where promi-nent gray marine limestone (Mural Limestone) forms the middle of the Bisbee Group. Sandstones are typi-cally medium-bedded, drab brown, lithic-feldspathic arenites. Includes Bisbee Group (largely Early Creta-ceous) and related rocks, Temporal, Bathtub, and Sand Wells formations, rocks of Gu Achi, McCoy Moun-tains Formation, and Upper Cretaceous Fort Crittenden Formation and equivalent rocks.
Kmv
Sedimentary Rocks of the Upper Cretaceous Mesaverde Group (84-88 Ma)
Gray to buff sandstone with interbedded shale and coal. These rocks, which are similar to slightly younger rocks that form Mesa Verde in southwestern Colorado, were deposited on the margin of a shallow sea. Rocks of this map unit host the only large coal deposits in Arizona.
Ks
Cretaceous Sedimentary Rocks (about 88-97 Ma)
Tan sandstone (Dakota Sandstone) overlain by gray shale (Mancos Shale); deposited in beach, river delta, and shallow sea settings. The Mancos Shale is overlain by the Mesaverde Group (map unit Kmv). This unit includes related sandstone and shale exposed near Show Low, Morenci (Pinkard Formation), and around Deer Creek south of Globe.
Jm
Morrison Formation (Late Jurassic, about 145-160 Ma)
Commonly cliff-forming, cross-bedded sandstone lenses alternating with slope-forming siltstone, mudstone and shale. Colors are highly variable, and include greenish gray, reddish brown, pink, white, and purple. Sands were deposited by braided streams with finer sediment representing overbank or lacustrine deposits.
Jsv
Jurassic Sedimentary and Volcanic Rocks (150-170 Ma)
Sandstone and conglomerate derived from volcanic rocks with associated intermediate-composition lava flows, breccias, and tuffs. In southern Arizona this unit includes rocks of the Artesa sequence, Pitoikam Formation, Mulberry Wash volcanics, Rudolfo Red Beds, Recreation Red Beds, and Gardner Canyon Formation. In western Arizona it includes the Harquar Formation, rocks of Slumgullion, and related(?) unnamed units in the Kofa and Middle Mountains. This unit is characterized by maroon, brown, and purplish-gray volcanic-lithic sandstone and siltstone, with subordinate to abundant conglomerate, quartz-rich sandstone and sparse limestone.
Jg
Jurassic Granitic Rocks (150-180 Ma)
Granite to diorite, locally foliated and locally alkalic; includes Triassic(?) granitoids in the Trigo Mountains. This unit includes two dominant assemblages of igneous rocks. The Kitt Peak-Trigo Peaks super-unit includes, from oldest to youngest: dark, foliated or gneissic diorite, medium-grained equigranular to porphyritic granodiorite, and small, irregular intrusions of light-colored, fine-grained granite. The Ko Vaya super-unit, limited to south-central Arizona, includes texturally heterogeneous K-feldspar-rich granitic rocks.
Jv
Jurassic Volcanic Rocks (160-200 Ma)
Massive quartz-feldspar porphyry, generally interpreted as thick, welded rhyolitic tuffs, with locally abundant lava, and sandstone and conglomerate derived from volcanic rocks. Rare eolian quartzite units are interbedded in southern Arizona. Includes Ali Molina Formation, Mount Wrightson Formation, part of the Canelo Hills Volcanics, Cobre Ridge tuff, Black Rock volcanics, Planet Volcanics, and equivalent rocks.
J^
Jurassic And Triassic Sedimentary and Volcanic Rocks (160-240 Ma)
Undivided massive quartz-feldspar porphyry of the Jurassic Planet Volcanics, quartz-rich metasandstone of the Jurassic Vampire Formation, and quartzite, phyllite, and fine grained, variably calcareous metasiltstone of the Triassic Buckskin Formation; exposed primarily in the Buckskin and Rawhide Mountains of western Arizona. This unit also includes sandstone and conglomerate beneath Jurassic volcanic rocks in the central Dome Rock Mountains.
}|
Jurassic to Cambrian Metamorphosed Sedimentary Rocks (160-540 Ma)
Highly faulted and folded rocks of units Jv, J, and Pz, deformed and metamorphosed in Jurassic, Cre-taceous and Tertiary time. This unit is restricted to west-central Arizona.
Js
San Rafael Group (Late to Middle Jurassic, about 160-180 Ma)
Commonly cross-bedded, ledge-forming sandstone and slope-forming siltstone. Rock typically has a striped red and white aspect. The Carmel Formation and Entrada Sandstone are prominent members of this group.
Jgc
Glen Canyon Group (Early Jurassic, about 180-210 Ma).
Conspicuous red, cross-bedded Wingate Sandstone and the conspicuously cross-bedded, eolian, red to buff Navajo Sandstone form prominent cliffs in northern Arizona. These two sandstone units are separated by variably colored siltstone, silty sandstone, and sandstone of the Kayenta and Moenave Formations.
^c
Chinle Formation (Late Triassic, 210-230 Ma)
Colorful mudstone, such as in the Painted Desert, and less abundant lenses of sandstone and conglomerate, deposited by a large river system. This unit typically is eroded into badlands topography and contains clays that are prone to shrinking and swelling.
^cs
Shinarump Conglomerate Member
Basal conglomerate and pebbly sandstone of the Chinle Formation is relatively resistant to erosion and forms extensive benches in some parts of the Colorado Plateau.
^m
Moenkopi Formation (Middle(?) and Early Triassic, 230-245 Ma)
Dark red sandstone and mudstone; includes gypsum beds in northwestern Arizona; deposited on a low-relief coastal plain.
|
Paleozoic Sedimentary Rocks (248-544 Ma)
Undivided Paleozoic limestone, dolostone, quartzite, shale, and related sedimentary rocks.
P
Permian Sedimentary Rocks (270-280 Ma)
Gray to tan, cherty limestone of Kaibab and Toroweap Formations, and underlying white to tan, fine-grained Coconino Sandstone. Limestone was deposited in a shallow sea, and sandstone was deposited in near-shore dunes and beach settings.
P*
Permian to Pennsylvanian Sedimentary Rocks (280-310 Ma)
Interbedded sandstone, shale, and limestone usually characterized by ledgy outcrops. Orange to reddish sandstone forms cliffs near Sedona. This unit includes Supai Group and Hermit Shale in northern Arizona and Naco Group in southern Arizona. It was deposited in coastal-plain to shallow-marine settings during time of variable and changing sea level. Rocks of this map unit in southern Arizona may be in part equivalent to Permian rocks of map unit P in central and northern Arizona.
M_
Mississippian, Devonian, And Cambrian Sedimentary Rocks (330-540 Ma)
Brown to dark gray sandstone grades upward into green and gray shale, overlain by light to medium gray or tan limestone and dolostone. This unit includes the Tapeats Sandstone, Bright Angel Shale, Muav Limestone, Temple Butte Formation and Redwall Limestone in northern Arizona, and the Bolsa Quartzite, Abrigo Formation, Martin Formation, and Escabrosa Limestone in southern Arizona. These rocks record intermittent sea-level rise and inundation in early Paleozoic time.
Ys
Middle Proterozoic Sedimentary Rocks (700-1300)
Red-brown shale and sandstone, buff to orange quartzite, limestone, basalt, black shale, and sparse conglomerate. This unit includes the Grand Canyon Supergroup, Apache Group, and Troy Quartzite. These rocks were deposited in shallow marine, coastal nonmarine, and fluvial settings.
Yd
Middle Proterozoic Diabase (1050-1150 Ma)
Dark gray to black sills (intrusions mostly parallel to bedding) in strata of the Apache Group and irregular to sheet-like intrusions in other rocks. Present in east-central and southeastern Arizona. Some sills are more than 100 m thick. Exposures are extensive north of Globe.
YXg
Proterozoic Granitic Rocks (1400-1800 Ma)
Undivided Early and Middle Proterozoic granitic rocks (units Xg and Yg).
Yg
Middle Proterozoic Granitic Rocks (1400-1450 Ma)
Mostly porphyritic biotite granite with large microcline phenocrysts, with local fine-grained border phases and aplite. Associated pegmatite and quartz veins are rare. This unit forms large plutons, including the Oracle Granite, Ruin Granite, granite in the Pinnacle Peak - Carefree area northeast of Phoenix, and several bodies west of Prescott.
Xg
Early Proterozoic Granitic Rocks (1600-1800 Ma)
Wide variety of granitic rocks, including granite, granodiorite, tonalite, quartz diorite, diorite, and gabbro. These rocks commonly are characterized by steep, northeast-striking foliation.
Xms
Early Proterozoic Metasedimentary Rocks (1600-1800 Ma)
Metasedimentary rocks, mostly derived from sandstone and shale, with minor conglomerate and carbonate rock. Includes quartz-rich, mostly non-volcanic Pinal Schist in southeastern Arizona and variably volcanic-lithic sedimentary rocks in the Yavapai and Tonto Basin supergroups in central Arizona.
Xq
Early Proterozoic Quartzite (1650? -1700 Ma)
Brown to maroon, resistant quartzite and minor conglomerate of the Mazatzal Group, exposed primarily in the Payson area.
Xmv
Early Proterozoic Metavolcanic Rocks (1650 to 1800 Ma)
Weakly to strongly metamorphosed volcanic rocks. Protoliths include basalt, andesite, dacite, and rhyolite deposited as lava or tuff, related sedimentary rock, and shallow intrusive rock. These rocks, widely exposed in several belts in central Arizona, include metavolcanic rocks in the Yavapai and Tonto Basin supergroups.
Xm
Early Proterozoic Metamorphic Rocks (1600-1800 Ma)
Undivided metasedimentary, metavolcanic, and gneissic rocks.


--- layout: default title: About ---
UBC
I obtained Master of Science in Economics from University of Texas Austin and Master of Arts from Simon Fraser University.
Before coming to North America, I graduated from Fudan University, Shanghai, China with Bachelor of Arts


Latifi drops Williams hint
by Joseph TyrrellNicholas Latifi looks destined for a Williams seat next season and the Canadian may have dropped his biggest hint yet as he confirmed he won't be racing in Formula 2 next season.
Latifi is in prime position to replace Robert Kubica after the current Williams driver announced earlier this year he would leave the bottom constructor after just one year back in the pinnacle of motorsport. It has been a very tough season for the Pole as he sits second bottom of the Drivers' Championship only ahead of his teammate, George Russell.
 He told La Gazzetta dello Sport: “Right from the start of the season I knew it would be my last year, whether it was good or bad.
"I am happy to have done a good season. We will see what the plan will be for next year.”
The final seat to be decided for the 2020 season is the Williams seat with the rest of the field all confirmed.


| Link | ChatGPT request |
| tfjs001.html
| for this thread write every answer as a single file html webpage with css and scripts in the same file. Put "my" in front of all variables and where appropriate use input tags for buttons and include the script in the button onclick handler. For now format the page.
|
| tfjs002.html
| update the above webpage to remove all css styling and make the button activates the webcam and puts the live image onto a canvas. The webcam should have a selection box to select for the front or rear camera.
|
| tfjs003.html
| just write the code for an input type button to be added to the above code that the onclick stores the webcam image into an array to be inputed into a tensorflowjs model
|
| tfjs004.html
| Started a fresh thread with: write a webpage to use tensorflowjs to train a machine learning model based on array of images
|
| tfjs005.html
|
|
| tfjs006.html
|
|
| tfjs007.html
|
|


The percentage of Palm Beach County public school students who qualify for free lunch has risen steadily since 2008, as has the percentage of non-white students.
Source: National Center for Education Statistics


○Region or state : Central & Eastern Europe, North America, Israel
○Weight : Male 22–25 lb (10.0–11.3 kg)
○Female : 20–23 lb (9.1–10.4 kg)
○Height : 13–16 in (33–41 cm)
○Coat : Short haired, hard coat of medium length
○Color : Tri color or white in combination with black & tan/brown or brown/tan
○Life span : 12–15 years
■POPULARITY : ●As purebred dogs, beagles have always been more popular in the United States and Canada than in their native country England.
The general appearance of the beagle resembles a miniature FOXHOUND .
●The head is broader and the muzzle shorter, the expression completely different .
●The legs shorter in proportion to the body.
■TEMPARTMENT :
>●The beagle has an even temper and gentle disposition.
●They are amiable and typically neither aggressive nor timid, although this depends on the individual.
●They enjoy company, and although they may initially be standoffish with strangers, they are easily won over.
■SENSE OF SMELL
●The long ears and large lips of the beagle probably assist in trapping the scents close to the nose.
●Along side the BLOODHOUND and BASSET HOUND , the beagle has one of the best developed senses of smell of any dog.
■Birth and Reproduction:
●The average size of a beagle litter is six puppies. When mother beagles give birth to litters of puppies, the little pups weigh just a few ounces each.
●Although bred for hunting, Beagles are versatile and are nowadays employed for various other roles in detection, therapy, and as family pets.
■HEALTH : ●Their long floppy ears can mean that the inner ear does not receive a substantial air flow or that moist air becomes trapped, and this can lead to ear infections.
●The exact cause of this behavior is not known, but it can be a common occurrence and is not harmful to the dog.
●Beagles may exhibit a behavior known as REVERSE SNEEZING, in which they sound as if they are choking or gasping for breath, but are actually drawing air in through the mouth and nose.


{{ talk.speaker }} {% if talk.speaker.company_name %} ({{ talk.speaker.company_name }}) {% endif %} {{ talk }} {{ talk.num_votes }}


|
Overview
SimpleITK is a simplified programming
interface to the algorithms and data
structures of the Insight Toolkit (ITK) for
segmentation, registration and
advanced image analysis. It supports bindings for multiple programming languages
including C++, Python, R, Java, C#, Lua, Ruby and TCL. Combining SimpleITK’s
Python bindings with the Jupyter
notebook web application creates an environment
which facilitates collaborative development of biomedical image analysis
workflows.
In this tutorial, we will use a hands-on approach utilizing Jupyter notebooks to
explore and experiment with various SimpleITK features in the Python programming
language. Participants will follow along using their personal laptops, enabling
them to explore the effects of code changes and parameter settings not covered
by the instructor. We will start with a short introduction to the toolkit’s two
basic data elements, Images and Transformations. Combining the two classes we
show how to use SimpleITK as a tool for image preparation and data augmentation
for deep learning via spatial and intensity transformations. We will then
present various features available in the toolkit’s registration framework and
components for constructing a segmentation workflow. Finally, we will show how
to use the toolkit for qualitative, visual, and quantitative evaluation of
segmentation and registration results.
Beyond the notebooks used in this course you can find the main SimpleITK notebooks repository on GitHub.
Instructors
- Hans J. Johnson, University of Iowa.
- Bradley C. Lowekamp, National Institutes of Health and Medical Science & Computing LLC.
- Ziv Yaniv, National Institutes of Health and Medical Science & Computing LLC.
Prerequisites
If you encounter problems or have questions, please post using this repository's
GitHub issue
reporting system (requires a GitHub user account).
In this course we will use the Anaconda Python distribution. Please follow the
instructions below to setup the environment we will use during the course. All
commands below are issued on the command line (Linux/Mac - terminal,
Windows - Anaconda Prompt).
-
Download and install the Fiji image viewer. This is the default image viewer used by SimpleITK:
-
On Windows: Install into your user directory (e.g. C:\Users\[your_user_name]\).
-
On Linux: Install into ~/bin/ .
-
On Mac: Install into /Applications/ .
-
Download and install the most
recent version of Anaconda for your operating system. We assume it is installed
in a directory named anaconda3. Regardless of the installer, we will be working
with Python 3.7
-
- On Windows: open the Anaconda Prompt (found under the Anaconda3 start menu).
- On Linux/Mac: on the command line
source path_to_anaconda3/bin/activate base
-
Update the base anaconda environment and install the git version control system into it.
conda update conda
conda update anaconda
conda install git
-
Clone this repository:
git clone https://github.com/SimpleITK/ISBI2020_TUTORIAL.git
-
Create the virtual environment containing all packages required for the course:
conda env create -f ISBI2020_TUTORIAL/environment.yml
-
Activate the virtual environment:
- On Windows: open the Anaconda Prompt (found under the Anaconda3 start menu)
conda activate sitkpyISBI20
- On Linux/Mac: on the command line
source path_to_anaconda3/bin/activate sitkpyISBI20
-
Go over the setup notebook (requires internet connectivity). This notebook checks the environment setup and downloads
all of the required data.
cd ISBI2020_TUTORIAL
jupyter notebook setup.ipynb
Program
Click the launch binder button to try things out without installing (some display functions will not work):
- [8:30AM - 9:30AM] History and overview [ppt].
Spatial transformations, images and resampling.
- [09:30AM- 10:00PM] Data augmentation for deep learning.
- [10:00AM - 10:30AM] Break.
- [10:30AM - 11:30AM] Registration and segmentation.
- [11:30AM - 12:00PM] Segmentation evaluation and results visualization.
Supplementary Material
For those interested in reading more about SimpleITK (Python and beyond):
-
R. Beare, B. C. Lowekamp, Z. Yaniv, "Image Segmentation, Registration and Characterization in R with SimpleITK", J Stat Softw, 86(8), 2018.
-
Z. Yaniv, B. C. Lowekamp, H. J. Johnson, R. Beare, "SimpleITK Image-Analysis Notebooks: a Collaborative Environment for
Education and Reproducible Research", J Digit Imaging., 31(3): 290-303, 2018.
-
B. C. Lowekamp, D. T. Chen, L. Ibáñez, D. Blezek, "The Design of SimpleITK", Front. Neuroinform., 7:45., 2013.
If you find that SimpleITK has been useful in your research, you can cite it via citations.bib.
|


0
L1
PolyBranch
PolyBranch is my submission for the Github Game Off! This game is written using a combination of Processing.js and jQuery. You can view the git repo for the game here!
PolyBranch is my submission for the Github Game Off! This game is written using a combination of Processing.js and jQuery. You can view the git repo for the game here!


vise.analyzer package¶
Subpackages¶
Submodules¶
vise.analyzer.band_gap module¶
-
vise.analyzer.band_gap.
band_gap_properties
(vasprun: Union[pymatgen.io.vasp.outputs.Vasprun, str], outcar: Union[pymatgen.io.vasp.outputs.Outcar, str], int_m_threshold: float = 0.1) → Tuple[dict, Optional[dict], Optional[dict]]¶ Evaluate the band gap properties from vasprun.xml and OUTCAR files
- Args:
- vasprun (Vasprun/ str):
- Vasprun file.
- outcar (Outcar/ str):
- OUTCAR file.
- int_m_threshold:
- Threshold to judge if the magnetization is not integer.
- Return:
- Tuple of band_gap, vbm, and cbm-related info. For metals, {‘energy’: 0.0, ‘direct’: False, ‘transition’: None}, None, None is returned.
-
vise.analyzer.band_gap.
edge_info
(eigenvalues: dict, hob_index: int, spin=<Spin.up: 1>) → Tuple[float, int, float, int]¶ Evaluate the band edge info from eigenvalues and given band index.
- Args:
- eigenvalues (dict):
- Dict of eigenvalues. eigenvalue, occupation = Eigenvalues[spin][k-point index][band index][0:2]
- hob_index (int):
- Highest-occupied band (HOB) index starting from0.
- spin:
- Pymatgen Spin object.
- Return:
- Tuple of HOB eigenvalue, its k index, lowest-unoccupied band (LUB) eigenvalue, and its k index.
vise.analyzer.band_plotter module¶
-
class
vise.analyzer.band_plotter.
ModBSPlotter
(bs)¶ Bases:
pymatgen.electronic_structure.plotter.BSPlotter
-
static
add_band_gap
(plt: <module 'matplotlib.pyplot' from '/Users/kuma/my_programs/virtualenvs/python3/lib/python3.6/site-packages/matplotlib/pyplot.py'>, vbm: float, band_gap: float, annotate_x: float, line_color: str = 'purple') → <module 'matplotlib.pyplot' from '/Users/kuma/my_programs/virtualenvs/python3/lib/python3.6/site-packages/matplotlib/pyplot.py'>¶
-
get_plot
(ylim: List[float] = None, smooth: bool = False, vbm_cbm_marker: bool = True, smooth_tol: float = None, legend: bool = False, zero_to_efermi: bool = True, title: str = None) → <module 'matplotlib.pyplot' from '/Users/kuma/my_programs/virtualenvs/python3/lib/python3.6/site-packages/matplotlib/pyplot.py'>¶ Get a matplotlib object for the band structure plot.
Original function is copied from PYMATGEN.2018.5.22.
- Args:
- ylim (list):
- Specify the y-axis (energy) limits; by default None let the code choose. It is vbm-4 and cbm+4 if insulator efermi-10 and efermi+10 if metal.
- zero_to_efermi (bool):
- Automatically subtract off the Fermi energy from the eigenvalues and plot (E-Ef).
- smooth (bool):
- Whether to interpolates the bands by a spline cubic
- vbm_cbm_marker (bool):
- Whether to show the VBM and CBM markers.
- smooth_tol (float):
- Tolerance for fitting spline to band data. Default is None such that no tolerance will be used.
- legend (bool):
- If the figure legend is shown or not.
- title (str):
- The title of the figure.
- Returns:
- Matplotlib pyplot
-
plot_compare
(another_plotter: vise.analyzer.band_plotter.ModBSPlotter, ylim: List[float] = None, legend: bool = True, zero_to_efermi: bool = True, title: str = None) → <module 'matplotlib.pyplot' from '/Users/kuma/my_programs/virtualenvs/python3/lib/python3.6/site-packages/matplotlib/pyplot.py'>¶ Generate pyplot for comparing two band structures.
Note: x- and y-ranges are determined based on the original data.
- Args:
- another_plotter (ModBSPlotter):
- Another BSPlotter class object.
- ylim (List[float]):
- Y-axis limit [y min, y max].
- legend (bool):
- If the figure legend is shown or not.
- zero_to_efermi (bool):
- If the energy is aligned to the Fermi level or not.
- title (str):
- Title of the plot.
- Returns:
- Matplotlib pyplot.
-
static
-
class
vise.analyzer.band_plotter.
PrettyBSPlotter
(band: pymatgen.electronic_structure.bandstructure.BandStructureSymmLine, band2: pymatgen.electronic_structure.bandstructure.BandStructureSymmLine = None, absolute: bool = False, y_range: List[float] = None, legend: bool = False, symprec: float = 0.01, angle_tolerance: float = 5)¶ Bases:
object
-
classmethod
from_vasp_files
(kpoints_filenames: Union[List[str], str], vasprun_filenames: Union[List[str], str], vasprun2_filenames: Union[List[str], str] = None, **kwargs) → vise.analyzer.band_plotter.PrettyBSPlotter¶
-
static
make_sym_line
(kpoints_filenames: Union[List[str], str], vasprun_filenames: Union[List[str], str]) → vise.analyzer.band_plotter.VaspBandStructureSymmLine¶ Create VaspBandStructureSymmLine from vasp files.
-
show
(filename: str = None, format_type: str = 'pdf') → None¶
-
classmethod
-
class
vise.analyzer.band_plotter.
VaspBandStructureSymmLine
(kpoints_filename: str, vasprun_filename: str, is_projection=False)¶ Bases:
pymatgen.electronic_structure.bandstructure.BandStructureSymmLine
vise.analyzer.dos_plotter module¶
-
class
vise.analyzer.dos_plotter.
ViseDosPlotter
(zero_at_efermi=True, stack=False, sigma=None)¶ Bases:
pymatgen.electronic_structure.plotter.DosPlotter
-
get_plot
(xlim: List[float] = None, ylims: List[List[float]] = None, cbm_vbm: List[float] = None, legend: bool = True, crop_first_value: bool = False, title: str = None)¶ Get a matplotlib pyplot for the density of states.
Override get_plot of DosPlotter.
- Args:
- xlim (list):
- Specifies the x-axis limits. Set to None for automatic determination.
- ylims (list):
- Specifies the y-axes limits. Two types of input. [[y1min, y1max], [y2min, y2max], ..]
- cbm_vbm (list):
- Specify cbm and vbm [cbm, vbm]
- legend (bool):
- Whether to show the figure legend.
- crop_first_value (bool):
- Whether to crop the fist DOS.
- title (str):
- Title of the figure
- Returns:
- Matplotlib pyplot
-
-
vise.analyzer.dos_plotter.
divide_densities
(density: dict, denominator: float) → Dict[pymatgen.electronic_structure.core.Spin, numpy.ndarray]¶ Method to divide density.
- Args:
- density:
- Density of states as a function of Spin.
- denominator:
- Denominator.
- Returns:
- Density of states with the format of {spin: np.array(density)}.
-
vise.analyzer.dos_plotter.
get_dos_plot
(vasprun: str, cbm_vbm: list = None, pdos_type: str = 'element', specific: list = None, orbital: bool = True, xlim: list = None, ymaxs: list = None, zero_at_efermi: bool = True, legend: bool = True, crop_first_value: bool = True, show_spg: bool = True, symprec: float = 0.01, angle_tolerance: float = 5)¶ - Args:
- vasprun (str):
- vasprun.xml-type file name
- cbm_vbm (list):
- List of [cbm, vbm]. This is used when band edge is determined from the band structure calculation.
- pdos_type (str): Plot type of PDOS.
- “element”: PDOS grouped by element type “site”: PDOS grouped by equivalent sites “none”: PDOS are not grouped.
- specific (list): Show specific PDOS. If list elements are integers,
PDOS at particular sites are shown. If elements are shown, PDOS of particular elements are shown. [“1”, “2”] –> At site 1 and 2 compatible with pdos_type = “none” [“Mg”, “O”] –> Summed at Mg and O sites compatible with
pdos_type = “element”- orbital (bool):
- Whether to show orbital decomposed PDOS.
- xlim (list):
- Specifies x-axis limits. Set to None for automatic determination.
- ymaxs (list):
- Specifies the maxima of absolute y-axis limits.
- zero_at_efermi (bool):
- Whether to show the plot in the absolute scale.
- legend (bool):
- Whether to show the figure legend.
- crop_first_value (bool):
- Whether to crop the fist DOS.
- show_spg (bool):
- Whether to show space group number in the title.
- symprec (float):
- Symprec for determining the equivalent sites.
- angle_tolerance (float):
- Angle tolerance for symmetry analysis in degree.
-
vise.analyzer.dos_plotter.
max_density
(density: dict, energies: list, xlim: list, crop_first_value: bool = True) → float¶ Evaluate max value of the density of states in the given energy range.
- Args:
- density (dict):
- Note that the first value may contain a huge value when the lower limit of the calculation of density of states is larger than that of occupied states. Therefore, we need to crop the first value by default. {Spin.up: […], Spin.down: […] }
- energies (list):
- Energy mesh values.
- xlim (list):
- x-range with [x-min, x-max]
- crop_first_value (bool):
- Whether to crop the first value or not.
- Return (float):
- Max value in the density within the given x-range.


| Age | not known |
|---|---|
| Year of Education | 15 |
| Marital status | Married-civ-spouse |
| Occupation | Sales |
| Work hours per week | 40 |
Welcome to participate in this experiment! In this experiment, you will be presented with 40 people's profiles (including age, year of education, marital status, occupation, and work hours per week) one by one. Your task is to predict whether a person's income is > 50k USD per year or ≤ 50k USD per year.
The whole process will take you about 20 minutes. And we will pay a 1 USD bonus if your decision accuracy in the last 20 tasks rank top 10% in all survey participants.
Note that we will conduct attention check.
Before the actual task, let's first go through a toturial, which can help you perform better in the formal experiment.
Let's get started!
| Age | not known |
|---|---|
| Year of Education | 15 |
| Marital status | Married-civ-spouse |
| Occupation | Sales |
| Work hours per week | 40 |
| Age | not known |
|---|---|
| Year of Education | 15 |
| Marital status | Married-civ-spouse |
| Occupation | Sales |
| Work hours per week | 40 |
For each task, you will be shown a table showing a person's profile. There are five attributes in total and we list all the possible values for each.
| Age | Continuous number (e.g., 28, 45) |
|---|---|
| Year of Education | Continuous number (e.g., 9, 13) |
| Marital status | categories (e.g., Married civilian spouse, Divorced, Never married, Separated) |
| Occupation | categories (e.g., Technical support, Other service, Executive managerial) |
| Work hours per week | Continuous number (e.g., 35, 50) |
To help you get some sense of the task, here we provide you with the income distribution on each attribute.
| Attributes | Distribution |
|---|---|
| Age | EducationNum | Marital status | Occupation | work hours per week |
Now you have finished the tutorial. Let's move to some training demos.
Before moving to the main task, we need to get your consent.
In this study, we will collect your interaction logs on the task interface. We will not ask for your real name and contact information. We will collect your answers to every question in the questionnaire.
Participation in this study is voluntary. You are free to withdraw or discontinue participation at any time.


{% extends 'templates/nhs_transaction_layout.html' %}
{% import 'includes/form_macros.html' as form_macros %}
{% import 'includes/ui_element_macros.html' as ui_element_macros %}
{% block afterHeader %}
{% include "includes/service-headers/book-an-appointment.html" %}
{% endblock %}
{% block content %}
Back
See a particular person
General practitioners (GPs)
Nurse practitioners
Practice nurses
{% endblock %}


Tweet
When developing a database, it can be useful to be aware of column names on tables, in case one wants to check for aliasing errors or search for a specific column.
To retrieve them, you just need to read from some system views.
- sys.columns: Contains the list of columns contained within the DB.
- sys.tables: Contains the list of tables contained within the DB.
- sys.schemas: Contains a list of the schemas contained within the DB.
- sys.types: Contains the list of data types contained within the DB.
- sys.views: Contains the list of views contained within the DB.
Launching one of these two scripts you will get the list of tables or views with their schemas and their columns with data types
Version with tables:
select s.name as [Schema]
,t.name as [Table]
,c.name as [Column]
,tp.name as [Type]
,c.max_length as [Length]
from sys.columns c
join sys.tables t
on c.object_id = t.object_id
join sys.schemas s
on s.schema_id = t.schema_id
join sys.types tp
on c.system_type_id = tp.system_type_id
Version with Views:
select s.name as [Schema]
,v.name as [View]
,c.name as [Column]
,tp.name as [Type]
,c.max_length as [Length]
from sys.columns c
join sys.views v
on c.object_id = v.object_id
join sys.schemas s
on s.schema_id = v.schema_id
join sys.types tp
on c.system_type_id = tp.system_type_id


About the numbers | About | Contact
We've been notified about this issue and we'll take a look at it shortly.


TransactionsFormController
transactions
This controller will intialize transaction object, add a new transaction from API and will redirect to the new view transaction details.
Calculate the transaction value per share and demonstrates this description.
| Param | Type | Details |
|---|---|---|
| transaction | Transactions | Transaction service. |
| String | Description of the amount per installment. |
It will be prepared to obfuscate the transaction confidential data from the credit card and then will save it.
| Param | Type | Details |
|---|---|---|
| transaction | Transactions | Transaction service. |
| Transactions | Transactions service for show in form. |


[ Identification | Description | Input parameters | Output parameters | Links ]
DivPos_monitor
Component2D detector for intensity as a function of both horizontal position and wavelength. This gives information similar to an aceptance diagram used eg. to investigate beam profiles in neutron guides. Example: DivPos_monitor(nh=20, ndiv=20, filename="Output.dip", xmin=-0.1, xmax=0.1, ymin=-0.1, ymax=0.1, maxdiv_h=2)
| Name | Unit | Description | Default |
| nh | 1 | Number of bins in position | 20 |
| ndiv | 1 | Number of bins in divergence | 20 |
| filename | string | Name of file in which to store the detector image | 0 |
| xmin | m | Lower x bound of detector opening | -0.05 |
| xmax | m | Upper x bound of detector opening | 0.05 |
| ymin | m | Lower y bound of detector opening | -0.05 |
| ymax | m | Upper y bound of detector opening | 0.05 |
| xwidth | m | Width of detector. Overrides xmin,xmax. | 0 |
| yheight | m | Height of detector. Overrides ymin,ymax. | 0 |
| maxdiv_h | degrees | Maximal horizontal divergence detected | 2 |
| restore_neutron | 1 | If set, the monitor does not influence the neutron state | 0 |
| nx | 1 | 0 | |
| ny | 1 | Vector definition of "forward" direction wrt. divergence, to be used e.g. when the monitor is rotated into the horizontal plane | 0 |
| nz | 1 | 1 | |
| nowritefile | 1 | If set, monitor will skip writing to disk | 0 |
| Name | Unit | Description | Default |
| Div_N | Array of neutron counts | ||
| Div_p | Array of neutron weight counts | ||
| Div_p2 | Array of second moments |
DivPos_monitor.comp
.
[ Identification | Description | Input parameters | Output parameters | Links ]
Generated on 2020-11-27 12:36:34


Animate
SIZE SIZE SIZE SIZE SIZE SIZE SIZE S
SPEED SPEED SPEED SPEED SPEED S
Go home
The golden ration has lots of usecases. See
Wikipedia
In this use case We spiral around the center with the golden ration as the angle change. This diagram closely resembles the seeds in a sunflowers top.


| KAFKA-3258 |
BrokerTopicMetrics of deleted topics are never deleted |
Major |
core |
Rajini Sivaram |
Rajini Sivaram |
| KAFKA-3393 |
Update site docs and javadoc based on max.block.ms changes |
Major |
. |
Grant Henke |
Mayuresh Gharat |
| KAFKA-3718 |
propagate all KafkaConfig __consumer_offsets configs to OffsetConfig instantiation |
Major |
. |
Onur Karaman |
Onur Karaman |
| KAFKA-3784 |
TimeWindows#windowsFor misidentifies some windows if TimeWindows#advanceBy is used |
Minor |
streams |
Tom Rybak |
Tom Rybak |
| KAFKA-3728 |
EndToEndAuthorizationTest offsets_topic misconfigured |
Major |
. |
Edoardo Comar |
Edoardo Comar |
| KAFKA-3789 |
Upgrade Snappy to fix snappy decompression errors |
Critical |
core |
Grant Henke |
Grant Henke |
| KAFKA-3787 |
Preserve message timestamp in mirror mkaer |
Major |
tools |
TAO XIAO |
TAO XIAO |
| KAFKA-3783 |
Race condition on last ACL removal for a resource fails with a ZkBadVersionException |
Minor |
. |
Sébastien Launay |
Sébastien Launay |
| KAFKA-3781 |
Errors.exceptionName() can throw NPE |
Major |
. |
Grant Henke |
Ismael Juma |
| KAFKA-3817 |
KTableRepartitionMap should handle null inputs |
Major |
streams |
Jeff Klukas |
Guozhang Wang |
| KAFKA-3830 |
getTGT() debug logging exposes confidential information |
Major |
security |
Ismael Juma |
Ismael Juma |
| KAFKA-3805 |
Running multiple instances of a Streams app on the same machine results in Java_org_rocksdb_RocksDB_write error |
Critical |
streams |
Andres Gomez Ferrer |
Eno Thereska |
| KAFKA-3850 |
WorkerSinkTask should retry commits if woken up during rebalance or shutdown |
Major |
KafkaConnect |
Jason Gustafson |
Jason Gustafson |
| KAFKA-3864 |
Kafka Connect Struct.get returning defaultValue from Struct not the field schema |
Blocker |
KafkaConnect |
Andrew Stevenson |
Ewen Cheslack-Postava |
| KAFKA-3890 |
Kafka Streams: task assignment is not maintained on cluster restart or rolling restart |
Major |
streams |
Henry Cai |
Henry Cai |
| KAFKA-3902 |
Optimize KTable.filter() to reduce unnecessary traffic |
Major |
streams |
Guozhang Wang |
Phil Derome |
| KAFKA-3854 |
Subsequent regex subscription calls fail |
Major |
consumer |
Vahid Hashemian |
Vahid Hashemian |
| KAFKA-3802 |
log mtimes reset on broker restart |
Major |
. |
Andrew Otto |
Moritz Siuts |
| KAFKA-3941 |
Avoid applying eviction listener in InMemoryKeyValueLoggedStore |
Major |
streams |
Guozhang Wang |
Guozhang Wang |
| KAFKA-3952 |
VerifyConsumerRebalance cannot succeed when checking partition owner |
Minor |
core |
Simon Wan Wenli |
Simon Wan Wenli |
| KAFKA-3855 |
Guard race conditions in TopologyBuilder |
Major |
streams |
Guozhang Wang |
Damian Guy |
| KAFKA-3915 |
LogCleaner IO buffers do not account for potential size difference due to message format change |
Blocker |
log |
Tommy Becker |
Ismael Juma |
| KAFKA-3782 |
Transient failure with kafkatest.tests.connect.connect_distributed_test.ConnectDistributedTest.test_bounce.clean=True |
Minor |
KafkaConnect |
Liquan Pei |
Jason Gustafson |
| KAFKA-3983 |
It would be helpful if SocketServer's Acceptors logged both the SocketChannel port and the processor ID upon registra |
Minor |
core |
Ryan P |
Ryan P |
| KAFKA-3960 |
Committed offset not set after first assign |
Blocker |
clients |
Alexey Romanchuk |
Alexey Romanchuk |
| KAFKA-3887 |
StreamBounceTest.test_bounce and StreamSmokeTest.test_streams failing |
Major |
streams, system tests |
Ismael Juma |
Guozhang Wang |
| KAFKA-3933 |
Kafka OOM During Log Recovery Due to Leaked Native Memory |
Critical |
log |
Tom Crayford |
Tom Crayford |
| KAFKA-3935 |
ConnectDistributedTest.test_restart_failed_task.connector_type=sink system test failing |
Major |
KafkaConnect |
Ewen Cheslack-Postava |
Ewen Cheslack-Postava |
| KAFKA-3500 |
KafkaOffsetBackingStore set method needs to handle null |
Blocker |
KafkaConnect |
Liquan Pei |
Ewen Cheslack-Postava |
| KAFKA-3996 |
ByteBufferMessageSet.writeTo() should be non-blocking |
Blocker |
. |
Jun Rao |
Ismael Juma |
| KAFKA-3924 |
Data loss due to halting when LEO is larger than leader's LEO |
Major |
core |
Maysam Yabandeh |
|
| KAFKA-3185 |
Allow users to cleanup internal data |
Blocker |
streams |
Guozhang Wang |
Matthias J. Sax |
| KAFKA-3851 |
Add references to important installation/upgrade notes to release notes |
Blocker |
. |
Ewen Cheslack-Postava |
Ewen Cheslack-Postava |
| KAFKA-3977 |
KafkaConsumer swallows exceptions raised from message deserializers |
Blocker |
consumer |
Jason Gustafson |
Jason Gustafson |
| KAFKA-3852 |
Clarify how to handle message format upgrade without killing performance |
Blocker |
. |
Ewen Cheslack-Postava |
Ewen Cheslack-Postava |
| KAFKA-3950 |
kafka mirror maker tool is not respecting whitelist option |
Critical |
. |
Raghav Kumar Gautam |
Manikumar Reddy |
| KAFKA-4008 |
Module "tools" should not be dependent on "core" |
Blocker |
core, tools |
Matthias J. Sax |
Matthias J. Sax |
| KAFKA-4018 |
Streams causing older slf4j-log4j library to be packaged along with newer version |
Major |
. |
Ismael Juma |
Ismael Juma |


{% extends "base.html" %} {% block title %} Biennial Reporting System {% endblock %} {% block content %}
This page is currently under construction. Click this link to search the Biennial Reporting System database. This data was last updated in 2015.


| Health Care System |
Health care or healthcare is the prevention, treatment, and management of illness and the preservation of mental and physical well-being through the services offered by the medical, nursing, and allied health professions.[1] The organised provision of such services may constitute a health care system. This can include a specific governmental organisation such as, in the UK, the National Health Service or a cooperation across the National Health Service and Social Services as in Shared Care. Before the term "healthcare" became popular, English-speakers referred to medicine or to the health sector and spoke of the treatment and prevention of illness and disease.


UK to Withdraw 42 Containers With Illegal Plastic Waste From Malaysia - Reports
MOSCOW (Sputnik) - The containers with illegal waste cargo arrived in Malaysia's Penang Port between March 2018 and March 2019 and got stranded due to lacking the necessary import permits.
The United Kingdom will take back 42 cargo containers with illegal plastic waste it had earlier shipped to Malaysia, the UK High Commission in Kuala Lumpur and the Malaysian Ministry of Energy, Science, Technology, Environment and Climate Change (Mestecc) said in a joint statement on Monday.
"The British High Commission’s proactive action of working closely with Mestecc in repatriating 42 plastic import containers in Penang Port is highly commendable," Mestecc Chief Yeo Bee Yin said, as quoted by the New Straits Times.
She added that the UK-Malaysian cooperation over this issue can serve as an example to other countries.
UK Commissioner Charles Hay, in term, was quoted as saying that "the repatriation of these 42 containers reflects our [UK's] commitment to fighting the illegal plastic waste trade."
The shipment back to the UK will be conducted in line with the Basel Convention, which regulates the movements of hazardous wastes and is aimed at preventing the less developed countries from becoming dumping grounds of waste from developed countries.


Hoping someone can help with this. If so, I think it will help me get over a hurdle in my understanding of the calculations involved with CTs in parallel.
My setup: I have my emonTx v3.4 with default (loaded by the Shop) sketch. I am in the US, so I will need to modify the sketch to set "USA=TRUE", and the other changes mentioned in Building Blocks. But I am still waiting for my UART cable, so I am trying things out while I wait.
I have the US AC-AC adapter from the shop plugged into the the emonTx.
I have two circuits running from my breaker box, one to the PV array on my upper roof, one to the PV array on my lower roof. Both circuit are connected to the "hot legs" in my breaker box, so they are 240V.
I put a YHDC SCT-013-0000 from the shop on each circuit. Then I plugged both of them into a y-splitter and plugged the y-splitter into input 3 of the emonTx. (I'd like to use inputs 1 and 2 for the mains, and 4 for my air conditioning, so I need to learn about getting all the solar on input 3).
The resulting graph of daily power is the right shape. But the power is consistently off by a factor of about 4 (relative to the Envoy monitor that was installed with my array).
I think I can explain a factor of 2. The emonTx is detecting the 120 volts from the AC-AC and using that in the power calculation, but the circuits I am measuring have twice that voltage.
But I can't explain the other factor of two. I'm wondering if it is just coincidental calibration error, or if it is something that would be expected based on my setup.
Thanks!
Brandon
Re: CTs in Parallel Question
We're missing some important information.
Which way is it "off" - which is 4 times the other?
Are you only talking about input 3, and are you measuring the current in one leg of each array?
What is the actual current (roughly)?
What voltage do you get reported by your emonTx? (i.e. what sort of adapter are you using - is it 120 V : 9 V USA type?)
If that's the case, the adapter will be giving the emonTx the same voltage as a UK adapter gives it on 240 V, and in the absence of changing the voltage calibration "USA=TRUE" then you should be reading the correct power. Are your CTs the same way round - are you by any chance subtracting the two currents rather than adding them? (Does each CT on its own give the correct power?)
Can you pass both wires through one CT - what do you get then?
(The BB articles "CT and AC power adapter installation and calibration theory" and "EmonTx - Use in North America" might help.)
Re: CTs in Parallel Question
The actual power is four times what I am seeing on the emonTx input 3. So if the emonTx is reporting 1000 W, the actual reading from the Envoy monitor will be roughly 4000 W.
Yes, I'm only focusing on input 3 right now. And yes, I am measuring the current in one leg of each array.
The peak output of the two arrays together is 4.9 kW, and the peak seen on most sunny days is more like 4. 2 kW. So, at 240 V, that would be 4900/240 = 20.4 amps. There are 6 panels in one array and 16 in the other, so a guess would be that one has peak current around 5 amps and the other has peak current around 15 amps.
Yes, I'm using the 120 V: 9 V USA adapter sold in the OEM Shop. The mean voltage reporting through the emonTx is about 125.6 V.
I will try putting them on input 3 and input 4 to see if that helps. And I think I can get both legs through one CT and try that as well.
Re: CTs in Parallel Question
So you've changed "USA=TRUE", as the emonTx is reporting the correct voltage (subject to calibration of course). Therefore you are reading low by a factor of 2 due to the voltage.
I think favourite is one CT is reversed compared to the other, so you are reading 15 A - 5 A = 10 A instead of 15 A + 5 A = 20 A when you "sum" the currents, and that gives you your second factor of 2.
Flip a CT on its cable and see if the power doubles (approximately). If it does, forget putting 2 cables through 1 CT (which would add the currents provided you used the same leg), as you've found the problem.
If not, I'll need to think a bit deeper.
Re: CTs in Parallel Question
Robert was correct. The reading of the smaller array was subtracting from the one of the larger array: 15 A - 5 A = 10 A.
Thanks!
Brandon


Blend
This module implements the blending of a bitmap buffer with a video buffer. Typical usage (2 bit in place blending of a 120x240 bitmap to a VGA sized 420Psemi buffer, no error checking):
More...
Detailed Description
This module implements the blending of a bitmap buffer with a video buffer. Typical usage (2 bit in place blending of a 120x240 bitmap to a VGA sized 420Psemi buffer, no error checking):
#include <xdc/std.h>
#include <ti/sdo/dmai/Dmai.h>
#include <ti/sdo/dmai/Blend.h>
#include <ti/sdo/dmai/BufferGfx.h>
BufferGfx_Attrs gfxAttrs;
Blend_Attrs blAttrs = Blend_Attrs_DEFAULT;
Blend_Config_Params bConfigParams = Blend_Config_Params_DEFAULT;
Buffer_Handle hBmpBuf, hBuf;
Blend_Handle hBlend;
Int32 bufSize;
Dmai_init();
gfxAttrs = BufferGfx_Attrs_DEFAULT;
gfxAttrs.colorSpace = ColorSpace_2BIT;
gfxAttrs.dim.width = 120;
gfxAttrs.dim.height = 240;
gfxAttrs.dim.lineLength = BufferGfx_calcLineLength(gfxAttrs.dim.width,
ColorSpace_2BIT);
bufSize = gfxAttrs.dim.lineLength * gfxAttrs.dim.height;
hBmpBuf = Buffer_create(bufSize, BufferGfx_getBufferAttrs(&gfxAttrs));
gfxAttrs = BufferGfx_Attrs_DEFAULT;
gfxAttrs.colorSpace = ColorSpace_422Psemi;
gfxAttrs.dim.width = 640;
gfxAttrs.dim.height = 480;
gfxAttrs.dim.lineLength = BufferGfx_calcLineLength(gfxAttrs.dim.width
ColorSpace_422Psemi);
bufSize = gfxAttrs.dim.lineLength * gfxAttrs.dim.height;
hBuf = Buffer_create(bufSize, BufferGfx_getBufferAttrs(&gfxAttrs));
hBlend = Blend_create(&blAttrs);
Blend_config(hBlend, NULL, hBmpBuf, hBuf, hBuf, &bConfigParams);
Blend_execute(hBlend, hBmpBuf, hBuf, 0, hBuf, 0);
Blend_delete(hBlend);
Buffer_delete(hBuf);
Buffer_delete(hBmpBuf);
Typedef Documentation
Handle through which to reference a Blending job.
Function Documentation
Creates a Blending job.
- Parameters:
-
| [in] | attrs | Blend_Attrs to use for creating the Blending job. |
- Return values:
-
| Handle | for use in subsequent operations (see Blend_Handle). |
| NULL | for failure. |
Configure a Blending job.
- Parameters:
-
| [in] | hBlend | The Blend_Handle of the job to configure. |
| [in] | hCcv | On dm6467 a Color Conversion job and a Blend job can be done with one pass of the VDCE. If you pass in a previously configured Ccv_Handle here, the Blend and Color conversion job will be done in one pass, both of which will be invoked using Blend_execute (so don't use Ccv_execute separately). If this is not required, pass in NULL and a separate VDCE pass will be used for blending. |
| [in] | hBmpBuf | The Buffer_Handle of the bitmap buffer to configure for. Note that only the buffer properties are accessed, the pointers are not used. |
| [in] | hSrcBuf | The Buffer_Handle of the source buffer to configure for. Note that only the buffer properties are accessed, the pointers are not used. |
| [in] | hDstBuf | The Buffer_Handle of the destination buffer to configure for. Note that only the buffer properties are accessed, the pointers are not used. |
| [in] | params | A pointer to the Blend_Config_Params to use while configuring this Blending job. |
- Return values:
-
| Dmai_EOK | for success. |
| Negative value | for failure, see Dmai.h. |
Execute a Blending job.
- Parameters:
-
| [in] | hBlend | The Blend_Handle of the job to execute. |
| [in] | hBmpBuf | The bitmap buffer to blend in to hSrcBuf before storing the result in hDstBuf. |
| [in] | hSrcBuf | The source buffer to blend in to. |
| [in] | hDstBuf | The destination buffer to store the result. |
- Return values:
-
| Dmai_EOK | for success. |
| Negative value | for failure, see Dmai.h. |
Deletes a Blending job.
- Parameters:
-
- Return values:
-
| Dmai_EOK | for success. |
| Negative value | for failure, see Dmai.h. |
Variable Documentation
Default configuration for a Blending job.
bmpXpos = 0,
bmpYpos = 0,
palette = {
{ 0xf0, 0x5a, 0x51, 0xff, },
{ 0x22, 0x36, 0x91, 0xc0, },
{ 0x6e, 0xf0, 0x29, 0x80, },
{ 0xde, 0xca, 0x6a, 0x40, },
}
Default attributes for a Blending job.


Server: Microsoft-IIS/3.0
Date: Thu, 18 Dec 1997 18:39:51 GMT
Content-Type: text/html
Accept-Ranges: bytes
Last-Modified: Wed, 08 Oct 1997 20:16:10 GMT
Set-Cookie: EGSOFT_ID=<IP_ADDRESS>-1395019056.29166564; expires=Fri, 31-Dec-2010 00:00:00 GMT; path=/
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Curative Wound Care Centers® - Testimonials
TESTIMONIALS
"I don't know what I would have done without the Wound Care Center®. The people are wonderful and so skilled. I was in a wheelchair much of the time, with many wounds on both feet.
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Southwest Florida Regional Medical Center
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"I've had diabetes for 23 years, and last year I developed a foot wound. I tried all the traditional approaches, but nothing worked until I started treatment at the Wound Care Center®. My wound began healing right away, and remains completely healed. It's a terrific program."
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"The management of chronic wounds is an immense clinical problem, but the Wound Care Center® provides very logical and effective solutions. I've learned a great deal by being part of the program, and continue to see very, very positive clinical outcomes."
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"We design individualized patient treatment programs to ensure successful healing outcomes. Our case management program allows us to deliver wound care that is cost effective. This approach works well in our managed care environment."
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Case Manager
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Return to the Curative Home Page
Wound Care Center® and Procuren® are registered trademarks of Curative Health Services, Setauket, NY.


Personal Projects
Hugo Website Code
This is the github repository that host the hugo code that my wesite is built from
chrisfrome.com
This is the html code for the site that is generated by hugo
BinConvert
This is a Java number Converter. It lets you convert a decimal number to various other number formats
CS 480 Portfolio Code
This is the code used for my final class assignment for CS 480 at JMU. It contains contains a design manifesto, as well as showcases my work from the class
CS 480 Portfolio Website
This is the link to the actual webpage of the Portfolio, hosted using Github pages. It contains contains a design manifesto, as well as showcases my work from the class
Liquid Stats
This projects leverages the power of the Untappd API to display information for your account including what beers you have had, your top rated beers, badges you earned, and statics about your untappd checkins
Other Projects
JMU CS VM Configuration Tool
I have contributed to this project maintained by the JMU Unix Users Group. This project is a VM configuration tool for the JMU CS department virtual machine. It helps to cut down on distribution size, and gives students the ability to install software base on the classes they are enrolled in, through a Python GUI application. The project makes use of Ansible, and assigns each class a role.
Hugo Nix Theme
I have contributed to this project created Matus Namesny (LordMathis). This project is a theme for the Hugo static website generator. I contributed to the project by adding dropdown functionality for the navigation menu. You can view my pull request here
Jordan Environmental Website
This project is a website for the Waynesville, NC based company Jordan Environmental, LLC.


Create Account
Create Account
You need to create an account before you can taake a loan
Get access to up to ₦2,000,000 within 24hours It’s possible, It’s real and It’s super easy
Read MoreThis loan facility offers short term credit facilities to distributors traders/retailers, peddlers and others who are in active trade basically to fund their needs usually for a period of 30 – 120 days, renewable only after the full payment of the previous loan
This is a product that provides customers with opportunity to purchase personal, business and household items from Mayfair accredited vendors, stores and OEM’s (Original Equipment Manufacturers)
This loan facility offers short term credit facilities to distributors traders/retailers, peddlers and others who are in active trade basically to fund their needs (Working capital loans) usually for a period of 30 – 180 days, renewable only after the full payment of the previous loan
This loan facility offers short term credit facilities to distributors traders/retailers, peddlers and others who are in active trade basically to fund their needs (Working Capital Loans & Purchase Orders) usually for a period of 1 – 30 days, renewable only after the full payment of the previous loan
You need to create an account before you can taake a loan
Update your personal details in the user dashboard with the correct home/office address
After confirmation of your home/office address, your loan will be approved and receive payment within 10 mins
To keep using our website, you need to make a loan repayment before the expiring period


@import navigation.UrlHelpers.{getReaderRevenueUrl, ManageMyAccountCancel} @import navigation.ReaderRevenueSite.Support @(user: com.gu.identity.model.User)(implicit request: RequestHeader)
Your contribution funds and supports the Guardian independent journalism. Remember you can contribute again at any time by making a one-off or monthly contribution.
We would really value your feedback please take a moment to tell us why you are cancelling


Voltage Divider
Divisors of voltages
Output
Input
Formula
\( V_{in} \) =
V
\(R_{top} \) =
Ω
\( R_{bott} \) =
Ω
\(V_{out} \) =
V
R_top =
Ω
$$ 52.3 \Omega$$ When \(a \ne 0\), there are two solutions to \(ax^2 + bx + c = 0\) and they are $$x = {-b \pm \sqrt{b^2-4ac} \over 2a}.$$ $$ \frac{5}{32} $$
Evaluatex test
10


Beverley Knight lined up for Ibiza Classics night
One of Wolverhampton's best-known performers will be part of a night of electronic dance classics.
by James VukmirovicBeverley Knight will be performing with Britain's most influential figures in electronic dance music, Pete Tong, as part of Ibiza Classics, a night celebrating the legacy of dance music.
The event will take place on December 11 at Birmingham Arena and will feature the 65-piece Heritage Orchestra and conductor John Buckley putting on a fresh show of Ibiza Classics, as well as sets from DJs such as Andy Baxter, Robert Owens and Phil Gifford.
Tickets are on sale now via www.gigsandtours.com, www.ticketmaster.co.uk and www.ibizaclassics.com.


Virtual DataSet Concepts
VirtData provides more than just a set of libraries and APIs. The concepts are the starting point and foundation. The software tools are built directly from the concepts. Having a strong understanding of them will enable you to get the most out of virtual dataset.
This section contains some of the basics. More detailed explanations are found in the subsections.
Procedural Generation
Procedural generation is a method of generating data by feeding a stream of random or pseudo-random data into an algorithm. Usually, procedural generation aims to produce content which appears original, not generated by an algorithm -- believably authentic by some standard.
In VirtData, this takes the form of applying a layer of data mapping functions to a set of inputs called coordinates.
Input Coordinates
An input coordinate is simply the logical address of a set of data that a mapping function can render. Input coordinates are often single scalar values. However, for some functions, multiple values may be supported.
A single-valued input coordinate can be used, for example, to describe a point on a time line. A coordinate pair may be used to represent latitude and longitude. A 4-tuple could describe a place and time with X, Y, Z, and T components.
(Pseudo) Random Number Generators
Sequences of values produced by random number generators (more properly called Pseudo-RNGs) are not actually random, even though they may pass certain tests for randomness. Useful (P)RNGs produce apparently random data that is completely deterministic. In practice, the combination of these two properties is quite valuable for testing and data synthesis. Apparent randomness and determinism (AKA repeatability in this context) are not mutually exclusive.
There are ways of collecting random data that is effectively and truly random, although such methods are not generally useful for testing at speed. Assume that the term RNG in VirtData always refers to the common Pseudo*-RNG.
Virtual Samples
Just as RNGs can appear random when the are not truly, statistical distributions which take them as inputs work in the same way. By feeding a uniform RNG over the unit interval [0,1.0] into a density function, we can simulate random sampling (with replacement) over an imagined population of entities, events, times, etc. This is a common building block of realistic simulations, for video games as well as database tests, and everything in between.
Data Mapping Functions
The primary tool in the VirtData toolbox is the data mapping function. It is simply a function that knows how to take an input and produce a result that is meaningful to the user. VirtData makes it easy to reuse data mapping functions in pre-assembled ways, thus acting as a "recipe" for a virtual dataset.


CanvasTools Samples - Images Editor
Test the rendering speed of adding a lot of new polygon regions
Number of polygons to draw:
Choose image:


Geometry Checker
Enter the dimensions of your rectangle to see if it's a square.
Enter the length:
Enter the width:
Create


Know the day of the week you were born by filling in your details. Heard of Ghanaian Akan names?
The Akan people of Ghana frequently name their children after the day of the week they were born and the order in which they were born. These "day names" have further meanings concerning the soul and character of the person.What would yours be?


Isolated In The Present, Worried About The Future
I want to write about how it feels being a visible Muslim woman going about my day in the GTA. In recent years, as lies and unbalanced coverage of Muslims in the media are a regular occurrence, I have been afraid to go out of my home. When I am forced to leave, I walk with my head down and avoid eye contact with people, I developed this fear due to the fact that everyone whom I had made eye contact with in the past would quickly look away and some would even put their nose in the air and puff their faces out of disgust at seeing me. I have developed an anxiety towards Caucasian people because of this treatment and I am sure many well-meaning Caucasians have ignored me because of the way that I am acting now. I must look like a dishonest person, avoiding contact with anyone in fear of being disrespected.
It was not like this years ago, even though I looked the same way. I always wish someone would come and talk to me, make useless chit chat about how the vegetables in the store today have just arrived and how lucky we are to be the first ones to choose the best ones. I miss those days where people would stop me and ask for directions or ask me to take their photograph (these were the days before selfies). I miss the days when people would treat me like a normal person and not be overly nice or overly rude.
People might think why I choose to be so different, why I can’t just change the way I dress to not stick out so much, and then maybe I will be treated normally. But many people have forgotten that before, our differences made us normal and understood that everyone’s way of life is shaped by their experiences and so we were all naturally different and androgyny was looked at as uninspired boringness. The Toronto I grew up in was inspired by creative fashion and embraced new cultures and ideas as food for thought. I loved growing up here in such a diverse space and hope for the next generation to see the value of diversity.
I know that my behaviour is not helping people to connect with me but until my anxiety dissipates and I can grow the confidence inside me, I want to hide. I don’t have all the answers to why ISIS is doing what they are doing, why there is a misunderstanding between the Sunnis and the Shias. I want to avoid these questions. I am just as confused as everyone else as to why these issues are always in the news and wondering isn’t there anything else happening in the world. I am sure some Muslims are helping their communities, where are those headlines. Or at least can we just please stop talking about the bad things they do as with every other community. There are bad things happening everywhere in the world that has nothing to do with Muslims, really!
I fear for the next generation of people who will never know the feeling of positivity and inquisitiveness when seeing something new, something different and wanting to know more about it. Now, differences and a thing to suspect to keep an eye on. We have lost our open-mindedness because of the fear portraying in the media. I wish we could do something about it. I don’t know how the German people were able to remove those feelings of suspect which turned to hate which turned to superiority during the Second World War. They have succeeded, maybe we should learn from them before it is too late.
--
Y. A. R.
Toronto, ON


| 1010 | (A) | and he grauntede to goo witħ a gude wiłł |
| 1015 | (C) | He graunted to go with a gode wyłł |
| 997 | (D) | And he grauntyd to go the gome for-to hele |
| 977 | (E) | & he grauntyd to go . þe kyng for-to hele . |
| (Ex) | ---- no text ---- | |
| 1035 | (L) | & he graunteþ to go with a goode wylle |
| 950 | (P) | & he graunted to ga with a gode wiłł |
| 988 | (U) | And he graunted to go / the gome for to hele |
| 75 | (V) | And he graunted for-to come with agood a good wille |


HTML Random Audio Player
Utilities insert audio player and randomly choose from a list of audio files to play
These utilities extend the Gp.AudioPlayer utilities and allow you to insert audio players into a page that will randomly select the audio to play from an input array of audio files. The list of files can be specified via a JavaScript call or through a JSON file of audio objects. If the file is named randomaudio.json, it will be automatically loaded on document load. Any number of random audio elements can occur in any given page but only one can be automatically loaded on document load.Gp.RandomAudio.addPlayer(id, data);
Requires MediaElement
Adds an audio player to the page as a child of the given container element and randomly selects the audio file to play from an input array of audio file specs.
id - id of the container element where the audio element will be inserted.
data - JSON data containing the data required to create the audio player.
data - JSON data containing the data required to create the audio player.
{
/* [optional] Play on load.
* @type Boolean (default = "false")
*/
"autoplay" : "false",
/* [optional] Initial volume.
* @type Integer (0 to 100, default = 80)
*/
"volume" : null,
/* [required] Audio file data.
* Array of audio file objects.
*/
"data" :
[
{
/* [required] Audio file url.
* @type String
*/
"url" : null,
/* [optional] Title.
* @type String
*/
"title" : null,
/* [optional] Artist.
* @type String
*/
"artist" : null,
/* [optional] Album.
* @type String
*/
"album" : null,
}
]
}
Usage
To use the addPlayer function, the page needs a container element (preferably a DIV) for the audio player and the element must have a unique id.

With a container element in place, the audio element is inserted by calling the
addPlayer function for that container at the bottom of the page after all of
requisite JS files have been pulled in.
Gp.RandomAudio.addPlayer("some-id",
{
"autoplay" : "false",
"volume" : "80",
"data" : [
{
"url" : "/demo/audio/gibbon-monkey.mp3",
"title" : "Gibbon Monkey"
},
{
"url" : "/demo/audio/puppy-barking.mp3",
"title" : "Puppy Barking"
},
{
"url" : "/demo/audio/gibbon-monkey.mp3",
"title" : "Rooster"
}
]
}
);
Note that the "autoplay" and "volume" properties in the JSON object are optional. In the
those properties, autoplay defaults to false and volume defaults to
80.
Gp.RandomAudio.fromJSON(jsonURL);
Requires MediaElement
Loads the data required to insert a single random audio player into the current page from the specified JSON file.
jsonURL - url of the JSON file to load.
{
/* [required] Id of the element that will contain the audio player.
* @type String
*/
"id" : null,
/* [optional] Play on load.
* @type Boolean (default = "false")
*/
"autoplay" : "false",
/* [optional] Initial volume.
* @type Integer (0 to 100, default = 80)
*/
"volume" : null,
/* [required] Audio file data.
* Array of audio file objects.
*/
"data" :
[
{
/* [required] Audio file url.
* @type String
*/
"url" : null,
/* [optional] Title.
* @type String
*/
"title" : null,
/* [optional] Artist.
* @type String
*/
"artist" : null,
/* [optional] Album.
* @type String
*/
"album" : null,
}
]
}
Usage
Really the only thing this function provides is a way to separate the data you use to add a random audio player out of your HTML and into a separate file for easier maintenance. You are limited to one random audio player per JSON file but you can make this call for as many different elements as are contained in your page with a different JSON file for each.Suppose we want to add another player like the one above to another element in the page with the id "another-random-element". We would start by adding the empty element and assigning that id to it in our HTML as follows.

Then we would the same data we used in the previous call into an external JSON file remembering
that we have to add the id of the element that will contain the audio player.
{
"id" : "another-random-element",
"autoplay" : "false",
"volume" : "80",
"data" : [
{
"url" : "/demo/audio/gibbon-monkey.mp3",
"title" : "Gibbon Monkey"
},
{
"url" : "/demo/audio/puppy-barking.mp3",
"title" : "Puppy Barking"
},
{
"url" : "/demo/audio/gibbon-monkey.mp3",
"title" : "Rooster"
}
]
}
With the JSON file and the container element in place, putting it all together is now
simply a matter of making a single JavaScript call at the bottom of your page to load
the file and insert the audio element.
Gp.RandomAudio.fromJSON("myaudio.json");
randomaudio.json
By taking special care in naming your JSON file, you can make things even easier. When the
file gp.tools.js is loaded, the location of the page is automatically scanned for a
file named randomaudio.json. If it is found, then it is loaded automatically.
That's it! The audio player below was added automatically when the document was loaded and was set to autoplay so it's the one you heard when you first clicked on this page.
Usage
The HTML and the contents of the file are exactly the same as with the fromJSON description. Here, however, you make sure the name of the JSON file is randomaudio.json. Remove the call to fromJSON from your script section as this will now happen automatically.That's it! The audio player below was added automatically when the document was loaded and was set to autoplay so it's the one you heard when you first clicked on this page.


UCSD is one of the top public universities in the US, and is a leader in fields such as medical, science, and engineering.
We are a team of students part of a special studies Cognitive Science course called Redesign UCSD, and we are working on a quarter long project surrounding food waste. Our mission is to design a solution that will increase student environmental awareness, improve the trash trilogy system, and discover ways to recover errors of improper sorting of trash. With the help of HDH (Housing, Dining, and Hospitality) Econauts, we have conducted user interviews, sketched prototypes and tested different designs.
The first step we did was created an online survey to determine student’s knowledge on composting. Many students were unaware that our compost landfill (Miramar Landfill) takes 0% contamination. They were pleasantly surprised to find that all of the plates/utensils at the dining halls are recyclable and that all food scraps can be composted at UCSD.
We were working in a very unique problem space, in which the post consumer side were not properly composting at the dining halls. This affects the university, student body, and environment.
In addition to that, we conducted in person interviews, and collaborated with the Housing, Dining, and Hospitality Department on-campus. My favorite part was “deep hanging out” in which we would just simply make observations in everyday settings. This meant we had to sit and observe how students were sorting their trash.
Our findings suggested these pain points:
With this in mind, we had to design a solution under the constraint that we couldn’t drastically change the trash bins.
We had two main types of Personas: Pre-Consumer & Post-Consumer. Post consumers were also broken up into students who were lazy, environmentally conscious, didn’t care, or simply didn’t know.
We were also aware that HDH Econauts have already made plenty of past attempts to fix this issue through events with low turn outs and flyers that went largely ignored. We examined all of their past trash bin designs and started brainstorming.
We started with Paper Prototypes. Our idea was to make composting easier and more fun to the students. Again, going back to our Personas we had to develop trash bins that were easy to understand and easy to use.
Before this project, I never realized how many different designs exist in the world for Recycling. It was during the Competitive Analysis, that we researched what people around the world has designed.
I was inspired by the Fun Theory. The Fun Theory states that something as simple as fun is the easiest way to change people’s behaviour for the better. Be it for yourself, for the environment, or for something entirely different, the only thing that matters is that it’s change for the better.
Even more so, I was inspired by their Bottle Bank Arcade Machine. You can watch the video below:
Next we had to put our collective design to the test. So with arts and crafts materials, we repurposed a trash can in the classroom. We decorated the trash can so that it looked like plants were growing on top, in hopes that it would make students pause to take a moment to reflect on their actions. We labeled the top and underside of the lid with “Food Scraps Only”. And we had another sign on the wall that asked students not to throw away trash in there, only compostable food.
We found a jamba juice cup in there later that week. Yes, there should be 0% contamination but we were quite impressed with the results. The new trash design did deter a lot of students. Now we just had to figure out what more we could do…
We came to the conclusion that we should make it harder for students to throw whatever into the Compost bin. But those who knew/cared would still be able to compost correctly. We decided to put a lid on top of the compost bin. That created an extra step for students so it was easier to throw their trash in the other bins. The results were very promising.
We discovered that the new design worked but only to an extent. The compost bin only had compostable food when the other two bins were not full. If the other two bins were full, then students had no other choice than to put their trash in the compost bin. This certainly raised a problem that we didn’t account for. Ultimately, if the busser is not always taking out the trash then we create a situation in which students have no other choice than to put trash in the compost bin.
Lastly, our design didn’t account for outdoor trash. There are so many more factors such as rodents, weather, and visibility. If we had more time, we would develop more prototypes and conduct more contextual interviews.
I gained experience designing physical prototypes. I stepped out of my comfort zone from designing websites/apps and learned a lot about composting along the way. What our solution ended up being was that we put a lid over the compost bin. There are generally 3 bins at the dining hall, with the other 2 being recycling and landfill. We made it harder to people (who don’t care or know about composting) to throw whatever into the composting bin. But for people who did compost properly, they were still able to compost. We wanted to save the 90% rather than eliminate the 10%. San Diego’s Miramar Landfill only accepts 0% contaminated compost. So the issue at UCSD is that sometimes the compost bins are not purely compostable materials.


Loads team graphics, colors, and logos - useful for plots!
load_teams()
A tibble of team-level image URLs and hex color codes.
https://github.com/nflverse/nflfastr-data


Bloggie is a simple blog style app to explore / show / teach different concepts of AngularJS.
Click to visit the website