Wiki ▸ [[API Reference]] ▸ [[Geo]] ▸ Geo Paths
For cartographic visualizations, D3 supports a handful of components for displaying and manipulating geographic data. These components use the GeoJSON format—a standard way of representing geographic features in JavaScript. (See also the TopoJSON format, an extension of GeoJSON that is significantly more compact.) To convert shapefiles to GeoJSON, use ogr2ogr, part of the GDAL package.
Some other tools you may be interested in:
The primary mechanism for displaying geographic data is d3.geo.path. This class is similar to d3.svg.line and the other SVG shape generators: given a geometry or feature object, it generates the path data string suitable for the “d” attribute of an SVG path element. The d3.geo.path class can render directly to Canvas, which may offer better performance when animating the projection.
# d3.geo.path()
Creates a new geographic path generator with the default settings: the albersUsa projection and a point radius of 4.5 pixels.
# path(feature[, index])
Returns the path data string for the given feature, which may be any GeoJSON feature or geometry object:
The type “Sphere” is also supported, which is useful for rendering the outline of the globe. A sphere has no coordinates. An optional index may be specified, which is passed along to the pointRadius accessor; the index is passed automatically when the path generator is invoked by selection.attr.
Important: the inside of a polygon is all points that the polygon winds around in a clockwise order. If your GeoJSON input has polygons in the wrong winding order, you must reverse them, say via ST_ForceRHR; you can also convert your GeoJSON to TopoJSON, and this will happen automatically.
To display multiple features, you can place them in a single feature collection and a single path element:
javascript
svg.append("path")
.datum({type: "FeatureCollection", features: features})
.attr("d", d3.geo.path());
Alternatively, you can create multiple distinct path elements:
javascript
svg.selectAll("path")
.data(features)
.enter().append("path")
.attr("d", d3.geo.path());
Using distinct path elements is typically slower than a single path element for a collection. However, distinct path elements are preferred if you want interact with features separately (e.g., using CSS :hover or click events).
# path.projection([projection])
If projection is specified, sets the projection used by the path generator to the specified projection function. If projection is not specified, returns the current projection, which defaults to albersUsa. The projection is typically one of D3’s built-in geographic projections; however, any function can be used. A projection function takes a two-element array of numbers representing the coordinates of a location, [longitude, latitude], and returns a similar two-element array of numbers representing the projected pixel position [x, y]. For example, a rudimentary spherical Mercator projection:
javascript
function mercator(coordinates) {
return [
coordinates[0] / 360,
(-180 / Math.PI * Math.log(Math.tan(Math.PI / 4 + coordinates[1] * Math.PI / 360))) / 360
];
}
Internally, this point projection function is wrapped with a fallback stream transformation that performs adaptive resampling. However, the fallback stream does not perform any clipping or cutting.
For more control over the stream transformation, the projection may be specified as an object that implements the stream method. (See example.) The stream method takes an output stream as input, and returns a wrapped stream that projects the input geometry; in other words, it implements projection.stream.
If projection is null, the path uses the identity transformation, where the input geometry is not projected and is instead rendered directly in raw coordinates. This can be useful for fast rendering of already-projected geometry, or for fast rendering of the equirectangular projection.
# path.context([context])
If context is specified, sets the render context and returns the path generator. If the context is null, then the path generator will return an SVG path string when invoked on a given feature. If the context is non-null, the path generator will instead call methods on the specified context to render geometry. The context must implement the following methods:
Note that this is a subset of the canvas element’s 2D rendering context, and thus a canvas context can be passed to the path generator, in which case geometry will be rendered directly to the canvas. If context is not specified, returns the current render context, which defaults to null.
# path.area(feature)
Computes the projected area (in square pixels) for the specified feature. Point, MultiPoint, LineString and MultiLineString features have zero area. For Polygon and MultiPolygon features, this method first computes the area of the exterior ring, and then subtracts the area of any interior holes. This method observes any clipping and resampling performed by the projection stream.
# path.centroid(feature)
Computes the projected centroid (in pixels) for the specified feature. This is handy for, say, labeling state or county boundaries, or displaying a symbol map. The noncontiguous cartogram example scales each state around its centroid. This method observes any clipping and resampling performed by the projection stream.
# path.bounds(feature)
Computes the projected bounding box (in pixels) for the specified feature. This is handy for, say, zooming in to a particular feature. This method observes any clipping and resampling performed by the projection stream.
# path.pointRadius([radius])
If radius is specified, sets the radius used to display Point and MultiPoint features to the specified number. If radius is not specified, returns the current radius. While the radius is commonly specified as a number constant, it may also be specified as a function which is computed per feature, being passed the feature and index arguments from the path function. For example, if your GeoJSON data has additional properties, you might access those properties inside the radius function to vary the point size; alternatively, you could d3.svg.symbol and a projection for more control over the display.
Note: to generate a great arc in D3, simply pass a LineString-type geometry object to d3.geo.path. D3’s projections use great-arc interpolation for intermediate points (with adaptive resampling), so there’s no need to use a shape generator to create great arcs.
# d3.geo.graticule
Constructs a feature generator for creating graticules.
# graticule()
Returns a MultiLineString geometry object representing all meridians and parallels for this graticule.
# graticule.lines()
Returns an array of LineString geometry objects, one for each meridian or parallel for this graticule.
# graticule.outline()
Returns a Polygon geometry object representing the outline of this graticule, i.e. along the meridians and parallels defining its extent.
# graticule.extent(extent)
If extent is specified, sets the major and minor extents of this graticule. If extent is not specified, returns the current minor extent, which defaults to ⟨⟨-180°, -80° - ε⟩, ⟨180°, 80° + ε⟩⟩.
# graticule.majorExtent(extent)
If extent is specified, sets the major extent of this graticule. If extent is not specified, returns the current major extent, which defaults to ⟨⟨-180°, -90° + ε⟩, ⟨180°, 90° - ε⟩⟩.
# graticule.minorExtent(extent)
If extent is specified, sets the minor extent of this graticule. If extent is not specified, returns the current minor extent, which defaults to ⟨⟨-180°, -80° - ε⟩, ⟨180°, 80° + ε⟩⟩.
# graticule.step(step)
If step is specified, sets the major and minor step for this graticule. If step is not specified, returns the current minor step, which defaults to ⟨10°, 10°⟩.
# graticule.majorStep(step)
If step is specified, sets the major step for this graticule. If step is not specified, returns the current major step, which defaults to ⟨90°, 360°⟩.
# graticule.minorStep(step)
If step is specified, sets the minor step for this graticule. If step is not specified, returns the current minor step, which defaults to ⟨10°, 10°⟩.
# graticule.precision(precision)
If precision is specified, sets the precision for this graticule, in degrees. If precision is not specified, returns the current precision, which defaults to 2.5°.
# d3.geo.circle
Constructs a feature generator for creating circles centered at a given geographic location with a given radius in degrees.
# circle(arguments…)
Returns a GeoJSON Polygon approximating a circle. The origin accessor specifies how to determine the origin for the given arguments; the default accessor uses the constant ⟨0°,0°⟩.
# circle.origin([origin])
If origin is specified, sets the circle origin. A two-element coordinate array should be specified, or an accessor function. If origin is not specified, returns the current origin, which defaults to ⟨0°,0°⟩.
# circle.angle([angle])
If angle is specified, sets the angular radius of the circle in degrees. If angle is not specified, returns the current radius, which defaults to 90°.
# circle.precision([precision])
If precision is specified, sets the precision of the interpolated circle segments in degrees. These interpolated segments are inserted when a feature is clipped by the circle. If precision is not specified, returns the current precision, which defaults to 6°.
# d3.geo.area(feature)
Returns the spherical area of the specified feature in steradians. See also path.area, which computes the projected area on the Cartesian plane.
# d3.geo.centroid(feature)
Returns the spherical centroid of the specified feature. See also path.centroid, which computes the projected centroid on the Cartesian plane.
# d3.geo.bounds(feature)
Returns the spherical bounding box for the specified feature. The bounding box is represented by a two-dimensional array: [[left, bottom], [right, top]], where left is the minimum longitude, bottom is the minimum latitude, right is maximum longitude, and top is the maximum latitude. See also path.bounds, which computes the projected bounding box on the Cartesian plane.
# d3.geo.distance(a, b)
Returns the great-arc distance in radians between the two points a and b. Each point is specified as an array [longitude, latitude], with coordinates expressed in decimal degrees.
# d3.geo.length(feature)
Returns the great-arc length of the specified feature in radians. For polygons, returns the perimeter of the exterior ring plus that of any interior rings.
# d3.geo.interpolate(a, b)
Returns an interpolator given the two locations a and b. Each location must be represented as a two-element array of [longitude, latitude]. The returned interpolator is a function which takes a single parameter t as input, where t ranges from 0 to 1. A value of 0 returns the location a, while a value of 1 returns the location b. Intermediate values interpolate from a to b along the spanning great arc.
# d3.geo.rotation(rotate)
Specifies a rotation in the form of an array, [λ, φ, γ]. The elements of the array are angles in degrees, and specify a rotation in the following order: longitudinal, latitudinal and about the origin. If the last element of the array, γ, is omitted, this defaults to 0. Returns a function, which rotates a given location as described below.
# rotation(location)
Rotates a given location according to the angles specified for this rotation, in the order described above. A location is specified as an array [longitude, latitude], with coordinates expressed in degrees. Returns a new array representing the rotated location.
# rotation.invert(location)
Rotates a given location according to the angles specified for this rotation, but with the order described above reversed. A location is specified as an array [longitude, latitude], with coordinates expressed in degrees. Returns a new array representing the rotated location.


ozpIwc.util.Reference Class
Creates a reference to the api node, but auto applies the given resource as well as applies default packet properties.
Constructor
ozpIwc.util.Reference
-
resource
-
defaultPacket
Parameters:
-
resource
StringThe resource path to reference
-
defaultPacket
ObjectDefault values for the packets sent to the node
Returns:
an augmented reference to the api resource.
Item Index
Methods
- afterConnected
- augment static
- fixBulkSend static
- fixPacket
- handleBusPacket static
- intentAugment static
- intentRegisterAugment static
- intentRegisterAugment static
- intentRegisterAugment static
- messageBuilderAugment static
- messageBuilderRefAugment static
- send
- send
- updateDefaults
Properties
Methods
afterConnected
()
Promise
Generic handler for a bus connection to handle any queued messages & launch data after its connected.
Returns:
augment
-
messageBuilder
-
client
Function generator. Generates API functions given a messageBuilder function.
Parameters:
-
messageBuilder
Object -
client
Object
Returns:
fixBulkSend
-
packet
A fix for bulkSend functionality, Filters out promise functionality so structured clones apply to bulkSends.
Parameters:
-
packet
Object
Returns:
a reference to the packet.
fixPacket
-
fields
Applies necessary properties to the packet to be transmitted through the router.
Parameters:
-
fields
Object
Returns:
handleBusPacket
-
apiBase
-
packetContext
Handles packets received with a destination of "$bus.multicast". If the packet action isn't handled, the function will return falsy.
Parameters:
-
apiBase
ozpIwc.api.base.Api -
packetContext
Object
Returns:
intentAugment
-
client
-
message
Augmenters for Intent Api specific actions.
Parameters:
-
client
Object -
message
Object
intentRegisterAugment
-
client
-
message
Augmentation for Intents Api invoke. Wraps callback to remove the callback when reaching error/complete state.
Parameters:
-
client
Object -
message
Object
intentRegisterAugment
-
client
-
message
Augmentation for Intents Api broadcast. Compiles the results of all intent handlers and then, returns the responfixese in the promise resolution. Callback acts like invoke callback.
Parameters:
-
client
Object -
message
Object
intentRegisterAugment
-
client
-
message
Augmentation for Intents Api register. Automatically invokes a registration if the invoke was passed into the application opening.
Parameters:
-
client
Object -
message
Object
messageBuilderAugment
-
dst
-
action
-
client
Function generator. Generates API message formatting functions for a client-destination-action pairing. These are generated for bulk sending capabilities, since the message needs to be formatted but not transmitted until desired.
Parameters:
-
dst
Object -
action
Object -
client
Object
Returns:
messageBuilderRefAugment
-
dst
-
action
-
defaultPacket
-
client
A factory for generating messages for a given API & Action.
Parameters:
-
dst
String[description]
-
action
String[description]
-
defaultPacket
Object[description]
-
client
Object[description]
Returns:
Returns a funciton that when called returns formatted packet,callback, and promise resolution calls.
send
-
fields
-
callback
-
preexistingPromiseRes
-
preexistingPromiseRej
Sends a packet through the IWC. Will call the participants sendImpl function.
Parameters:
-
fields
Objectproperties of the send packet..
-
callback
FunctionThe Callback for any replies. The callback will be persisted if it returns a truth-like
-
preexistingPromiseRes
FunctionIf this send already has a promise resolve registration, use it rather than make a new one.
-
preexistingPromiseRej
FunctionIf this send already has a promise reject registration, use it rather than make a new one. value, canceled if it returns a false-like value.
send
-
fields
-
callback
A modified send for References. Returns only the direct entity of a response as apposed to the whole packet by default
Parameters:
-
fields
Object | Functionpacket properties for transmit
-
callback
Functioncallback function for watched functionality
Returns:
The promise to be resolved
updateDefaults
-
config
Updates the default parameters of a Reference. Can be used to reassign defaults of a Reference
Parameters:
-
config
Objectconfiguration properties of Reference to update
Returns:
The Reference
Properties
packet
Object
Registers callbacks for API request callbacks and promises.
Sub-properties:
-
callback
Function -
promiseRes
Function -
promiseRej
Function


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Every programmer knows that errors lurk near boundaries: for example, at the beginning and end of arrays, or at the point in execution where an array becomes empty. Our discussion of verb rank omitted one important situation: suppose there are no cells? An operand with no cells is said to be empty, and it gets special treatment in J.
The definition of an empty operand is not as obvious as you might think. An array is empty if it has no atoms (i. e. has a 0 in its shape), but whether an operand is empty depends on the rank of its cells: it is empty if there is a 0 in the frame with respect to the cells operated on by the verb. Consider an array with shape 3 0 4 . This is an empty array, because it has no atoms. As an operand of a verb with rank 0, it has frame 3 0 4, so there are no cells and the array is an empty operand. As an operand of a verb with rank 1, it has frame 3 0 and again is empty. As an operand of a verb with rank 2, though, it has frame 3 and is not empty: there are 3 cells, each of which has shape 0 4 . In this case each cell is an empty array, but the operand is not empty. As an operand of a verb with rank 3 or higher, the frame is empty and each cell has shape 3 0 4, so there is one cell and the operand is not empty, though each cell is an empty array. You can see that an operand may have items and yet be an empty operand, if the verb operates on cells smaller than items, as is the case in this example for a verb of rank 0 or 1.
We are left with the question, What is executed when an operand is empty? For something must be executed. It is fundamental in J that if a verb produces a result with shape s when applied to a single cell, executing that verb over an array of that cell--even an array of none of them--produces an array of results each with shape s. The only way to find out what shape a verb is going to produce is to execute it and see--and that is what J does.
If an operand is empty, i. e. its frame contains a 0 and it therefore has no cells, the verb is executed on a cell c of fills. The shape of c is the shape of a cell of the corresponding operand, and the value of each atom is the appropriate fill for that operand: 0 for numeric operands, ' ' for characters, a: for boxes. The shape s and type t of the result of executing the verb on c are noted. Then, the shape of the overall result is the frame of the operand (the longer frame, for dyads) concatenated with s, and the result is given type t. The result will necessarily be empty, because it will have a 0 in its shape (from the frame, which contained a 0). Example:
$ +/"2 (3 0 3 4 $ 100)
3 0 4
Remember that a cell has a shape, even if there are none of them! Here the verb monad +/"2 is applied to 2-cells, each with shape 3 4 . The frame 3 0 contains a 0, so the verb is executed on the fill cell c which is (3 4 $ 0). Monad +/ adds the items of the cell, producing a list with shape 4 . The frame 3 0 is concatenated with 4 to give the shape of the result, 3 0 4 .
3!:0 +/"2 (3 0 3 4 $ 100)
4
The verb 3!:0 (one of dozens of special goodies provided by the !: conjunction and documented under Foreigns) tells you the type of its operand. Here, 4 means numeric type: the result has shape 3 0 4 and numeric type.
$ <"2 (3 0 3 4 $ 100)
3 0
3!:0 <"2 (3 0 3 4 $ 100)
32
Here the verb monad < was applied to the same fill-cell c (3 4 $ 0) but it produced as result a scalar box (shape empty), so the shape of the overall result is the frame 3 0 concatenated with an empty list, i. e. shape 3 0 and type boxed (as indicated by the 32 returned by 3!:0).
Note that in an empty array of boxes, each box is itself empty (of course, the number of such boxes is 0, since the array is empty, but by now you know that empty nouns can still have a shape--the point here is that they cannot have nonempty contents). The contents of a box are lost when the box becomes part of an empty array. In the example <"2 (3 0 3 4 $ 100), execution on the fill-cell produced (<3 4 $ 0), and if the frame weren't empty the box would contain an array; but when the frame is empty, the value of the result is discarded; all that remains is its type.
If executing the verb on a cell of fills results in an error, execution continues as if the verb had returned the scalar 0 :
5 + ' '
|domain error
| 5 +' '
Trying to add 5 to a space is nonsense...
5 + ''
$ 5 + ''
0
(3!:0) 5 + ''
4
...but adding 5 to an empty list of characters produces an empty numeric list. The addition is attempted with a cell of fills for the empty operand (the values added are 5 on the left, ' ' on the right), the addition fails, and the error-fallback result of scalar 0 is used; the 0, being a scalar, has a shape which is an empty list; appending the longer frame (0) gives shape 0, numeric. Note that y here is an empty operand, but it nonetheless has the longer frame (the scalar x has empty shape and perforce empty frame).
Note: there is much special code in the interpreter to handle the cases of empty operands. To improve performance, the interpreter recognizes a great many combinations of verb, operand shape, and type, handling each with separate code. In most cases the interpreter produces its result in accordance with the rules given above, but in a few exotic cases it deviates. You are quite unlikely to encounter these cases in practice; the most important one is
$ > 0$a:
0
where the rules given above would predict a shape of 0 0 . Enough applications rely on shape 0 to keep this deviation in the system, at least as of J6.01.
As we discussed above, a cell, like any array, is called empty if it has a 0 in its shape. Whether the cells of an operand are empty is independent of whether the operand itself is empty.
How a verb handles an empty cell is entirely up to the verb; the fill-cell processing we discussed above does not apply. The J primitives generally preserve the type of empty lists that are 'data' but ignore the type of empty lists that are 'control information'. So, even though characters are not allowable left operands of dyad |., '' |. i. 5 produces the same result as (0$0) |. i. 5, because the rotation count is 'control information'. In contrast, 3 {. '' produces a 3-character string, while 3 {. (0$0) produces a 3-item numeric list, because the right operand of dyad {. is 'data'. The distinction between 'control information' and 'data' is not clear-cut, but in all cases the interpreter does what you'd want it to, and you should experiment if you need reassurance.
Sometimes executing a verb on a cell of fills simply won't do: maybe your verb produces a side effect, or maybe it will go berserk if its operand is 0 . In those cases, you must take steps to ensure that it is not executed on an empty list. To help you out with the most common case, in which the only way a list can be empty is to have no items (that is another way of saying that the first item of the shape is 0), I offer you a set of adverbs and conjunctions which you can have by executing
load 'system\packages\misc\jforc.ijs'
u Ifany applies the verb u (which may be monadic or dyadic) provided y has items; if y has 0 items, the result of u Ifany is y :
$ (,/) i. 0 4
0
$ (,/) Ifany i. 0 4
0 4
Since i. 0 4 has no items, Ifany caused it to be passed through unchanged.
x u Ifanyx y produces x u y if x has items, or y if x has no items.
The conjunction u Butifnull n can be monadic or dyadic; it applies u if y has items; if y has no items it produces a result of n .
5 + Butifnull 6 (0)
5
5 + Butifnull 6 (0$0)
6
x u Butifxnull n y produces x u y if x has items, or n if x has no items.


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Engineers from Carousell and Google will inspire you!
Learn and apply Python!
Platform: MicroPython on micro:bit
Topic: To be revealed on the first day of conference
Duration: 3 hours (on 2nd day of conference)
Grab your seats and hold on tight for Lightning Talks will bring you on an adventure like never before. Within a short span of 5 minutes or so, each speaker (you can be one too!) will excite you on different topics such as concepts, events, projects and anything under the sun related to computer science! Focus and listen, you just might be able to catch that lightning when it flashes!
I can show you how to save the worl-...ahem*. I will give a quick overview of A-level Computing in JC. :)
Since the inception of photography, images have been ritually edited and modified throughout history. Using various image processing algorithms, content modifications can be detected in tampered images.
How do popular websites remain up and serve so many requests? A quick glimpse at scaling, redundancy and architectures.
The Raspberry Pi is a relatively small and inexpensive computer which is used in a wide variety of applications, ranging from controlling security systems to sensing environmental changes. In this talk, you will learn about the history of the Pi, the key features present, as well as some simple projects you can work on.
I will be sharing about my experience in NYP SIT which includes my academics, various competitions, the different student groups as well as overseas opportunities.
The talk on binary numbers will be aided with the poisoned wine bottle riddle and base-2, base-10 will be touched upon after the riddle.
"Alas! It is finished! My masterpiece is finally done!" The Project Showcase features a gallery of Python-related projects done by students. These projects solve real-world problems and save the world. Enjoy our students masterpieces and feel free to consult them on their projects.
Profile page rampant with vulgarities? Social media page screaming obscenities that makes your skin crawl and makes you want to puke? Have no fear! Introducing the new and unique online protection, SocialShield! Its not an antivirus but it will detect and notify you if there are harmful content on the social site you're on. Once implemented, this intelligent programme automatically sieves through the content on the page and warns you about the danger on that page. Ain't that neat? *clunk* Behold, the SocialShield, the mighty blockade against harmful content.
Here Ye! Here Ye! Teachers gather round, for there is a new and improved technology in town. Late students giving you a hard time? Struggling to hound students for their homework? Well, suffer no more! From the depths of a group of students' minds, we bring you, Eduto! Created just for you and with you in mind, Eduto is a comprehensive learning management system that intelligently tracks homework and marks attendance automatically. You no longer have to do it yourself! Sit back, Relax, Prop those tired legs on the table and enjoy that cup of morning coffee while the application helps you record the attendance of students!
Attendance taking for lectures is a very time consuming and troublesome process. The records are written in paper and difficult for teachers to sum up and analyze for the students' overall attendance. We develop an automated Attendance Taking system with the aid of QR code. Then entire attendance taking process can be finished with in 15 seconds and report can be automatically generated for any purposes. This system is currently under testing and implementation in NJC and we would like to share our project with you.
Have you ever wondered what your A-level grade will be like? Do you want to know what it takes to get your desired grade? Now you can! Give us some basic information and in mere seconds, your grade will be predicted! Magic? Nah. Want to know how it’s done? Join us!
SilverTune is a smart assistive system comprising the customized IoT musical device with interactive games to motivate elderly to improve elderly’s well-being in a fun manner.
FoodSnappie aims to raise awareness on eating healthy and staying fit by keeping track of your diet with food suggestion catered to your diet needs and calories consumption required. This app is able to recognize the food with a snap of your camera phone, and it uses the food databank to provide the nutrition composition.


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java.lang.Object java.lang.Thread jass.render.RTAudioFullDuplexRtAudio
public class RTAudioFullDuplexRtAudio
Utility class to read/write audio in real-time using native libs from RtAudio C++ classes
| Nested Class Summary |
|---|
| Nested classes/interfaces inherited from class java.lang.Thread |
|---|
java.lang.Thread.State, java.lang.Thread.UncaughtExceptionHandler |
| Field Summary |
|---|
| Fields inherited from class java.lang.Thread |
|---|
MAX_PRIORITY, MIN_PRIORITY, NORM_PRIORITY |
| Constructor Summary | |
|---|---|
RTAudioFullDuplexRtAudio(float srate,
int nchannels,
int buffersizeJASS,
int numRtAudioBuffers)
Constructor. |
| Method Summary | |
|---|---|
void |
close()
|
void |
closeNativeSound(long nativeObjectPointer)
Close native sound This is a native method and needs librtaudio.so (LINUX) or rtaudio.dll (Windows) or whatever its called on MAC OSX |
long |
initNativeSound(int nchannels,
int srate,
int buffersizeJASS,
int nRtaudioBuffers)
Initialize native sound using RtAudio, setting buffersize and an internal RtAudio buffersize |
void |
read(float[] y,
int nsamples)
Read audio buffer from input queue and block if queue is empty. |
void |
write(float[] y)
Write audio buffer to output queue and block if queue is full. |
void |
writeReadNativeSoundFloat(long nativeObjectPointer,
float[] outbuf,
int outbuflen,
float[] readbuf,
int readbuflen)
write/read a buffer of floats to native sound. |
| Methods inherited from class java.lang.Thread |
|---|
activeCount, checkAccess, countStackFrames, currentThread, destroy, dumpStack, enumerate, getAllStackTraces, getContextClassLoader, getDefaultUncaughtExceptionHandler, getId, getName, getPriority, getStackTrace, getState, getThreadGroup, getUncaughtExceptionHandler, holdsLock, interrupt, interrupted, isAlive, isDaemon, isInterrupted, join, join, join, resume, run, setContextClassLoader, setDaemon, setDefaultUncaughtExceptionHandler, setName, setPriority, setUncaughtExceptionHandler, sleep, sleep, start, stop, stop, suspend, toString, yield |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public RTAudioFullDuplexRtAudio(float srate, int nchannels, int buffersizeJASS, int numRtAudioBuffers)
srate
- sampling rate in Hertz.nchannels
- number of audio channels.buffersizeJass
- jass buffersizenumRtAudioBuffers
- number of rtaudio buffers (0 is lowest)| Method Detail |
|---|
public long initNativeSound(int nchannels, int srate, int buffersizeJASS, int nRtaudioBuffers)
nchannels
- number of audio channels.srate
- sampling rate in Hertz.buffersizeJASS
- buffers will be rendered in these chunksnRtaudioBuffers
- internal buffers, 0 = lowest possiblse
public void closeNativeSound(long nativeObjectPointer)
nativeObjectPointer
- representing C++ object pointerpublic void writeReadNativeSoundFloat(long nativeObjectPointer, float[] outbuf, int outbuflen, float[] readbuf, int readbuflen)
nativeObjectPointer
- representing C++ object pointer.outbuf
- array of floats with sound buffer to be output to audio cardoutbuflen
- length of buffer.readbuf
- array of floats with sound buffer to be read from audio inputreadbuflen
- length of read buffer.public void read(float[] y, int nsamples)
y
- buffer to write to.nsamples
- number of samples required.public void write(float[] y)
y
- output buffer.public void close()
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{% extends "bats/layout.html" %} {% block page_title %} Driving lessons {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} {{formData | safe}} Has your ecologist inspected the site where the bats are? Your ecologist must inspect the site to decide what impact moving the bats will have. Has your ecologist inspected the place where the bats you want to move live? Yes No {% endblock %}
Your ecologist must inspect the site to decide what impact moving the bats will have.


responsibility the fun way
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test HTML special chars:
ä ä
< & >
è é
क
| 汉语 漢語 中文 | ру́сский язы́к | 🌆 |
this should be formatted red via extern CSS
there will be a red border prior build
this should be formatted blue via inline CSS
there will be a blue border prior build
this line is too much, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too, much too …
too much … too long!


--- layout: post esbma_id: 1129 title: Exploring Micro-ISVs date: 2004-09-01 13:14:41 ---
My latest Business of Software column is now available on the MSDN website.
This is the article which introduces my Winnable Solitaire project. A section of this weblog contains a journal of my experiences.


Portfolio 1
Portfolio 1 - Basic Grid
Dashboard
Web Design / Graphic
World Clock Widget
Logo / Web Design
To-Do Dashboard
Graphic / Logo
Events and More
Web Design / Graphic
Where To App
Web Design / Identity
Ski * Buddy
Identity / Web Design
Seemple* Music for iPad
Graphic / Logo
Remind~Me More
Identity / Graphic
Workout Buddy
Web Design / Graphic
Bills Bills Bills
Identity / Web Design
Generic Apps
Identity / Logo
Speed Detector
Graphic / Web Design


Manage 23andMe introductions
This web app will send introductions to all of your 23andMe matches
On the next page you will be asked to log in to 23andMe. Your log in information will not be saved.
It is just used to get permission from 23andMe to send introductions to your matches.


Here’s everything you need to know about Google Stadia (Updated)
by Peter HoldenGoogle finally pulled the back the curtains on Stadia, the hyped up game streaming service that everyone’s been wondering about for a few weeks. Not only that, but they’ve given us a solid release date, and a “founder” pre-order package that comes with an exclusive controller and Chromecast Ultra.
Let’s see what it’s all about.
Availability
Okay, so we know Stadia involves Google streaming video games from their high-powered servers to any of your devices running Google Chrome. As evidenced by Project Stream, the experience is really good, and it works with several different controllers and peripherals. You do need a fast internet connection, though.
Google detailed exactly how fast of a connection you’ll need, too.
If you’re only wanting to stream at minimum settings, 10Mbps should do the trick. The base plan of Stadia (which we’ll get to in a minute) needs about twice that much, while the top-tier, 4K HDR streaming will require around 35Mbps. That’s not too demanding, but it is going to eliminate some people that aren’t around major population centers.
It’s going live later this year in November, while the free version is delayed until sometime next year.
Games
So what can you play on Stadia? Well, since Google isn’t just spinning up some Windows servers somewhere, the games will need to be natively ported to Stadia. There are a few major publishers already on board, including heavy hitters like Bethesda with Doom Eternal and Rage 2, Ubisoft with some Assassin’s Creed games, The Division 2, and The Crew 2, and the highly-anticipated Borderlands 3.
You do have to buy these, though. Google will be giving out some free games a la Xbox Live or Playstation Plus, the first of which will be Destiny 2: The Collection, but this isn’t a Gamepass or Netflix where you can play anything on the service anytime you want. The free tier is excluded from these free games as well.
Update 2019/08/17: List of games confirmed for Stadia
- Assassin’s Creed Odyssey
- Borderlands 3
- Baldur’s Gate 3
- The Crew 2
- Darksiders Genesis
- Destiny 2
- Doom
- Doom Eternal
- Dragon Ball Xenoverse
- The Elder Scrolls Online
- Farming Simulator 19
- Final Fantasy 15
- Football Manager
- Get Packed
- GRID
- Gylt
- Just Dance
- Metro Exodus
- Mortal Kombat 11
- NBA 2K
- Power Rangers: Battle for the Grid
- Rage 2
- Rise of the Tomb Raider
- Samurai Showdown
- Shadow of the Tomb Raider
- Tom Clancy’s Ghost Recon Breakpoint
- Tom Clancy’s The Division 2
- Tomb Raider Definitive Edition
- Thumper
- Trials Rising
- Wolfenstein: Youngblood
Update 2019/08/19: Seven more games confirmed during Stadia Connect event at GamesCom
- Cyberpunk 2077
- Kine
- Orcs Must Die! 3
- Windjammers 2
- Destroy All Humans (Remastered)
- Superhot
- Attack on Titan 2 – Final Battle
Update 2019/10/04: Red Dead Redemption 2 confirmed for Stadia
Rockstar has confirmed that its AAA title, Red Dead Redemption 2, will launch on Stadia in November. This means that users will be able to stream Arthur Morgan’s saga on Google Stadia to their phones and tablets.
Update 2019/11/11: Stadia has officially launched with a grand total of twelve games available, as listed below:
- Assassin’s Creed Odyssey
- Destiny 2
- Just Dance 2020
- Kine
- Mortal Kombat 11
- Tomb Raider: Definitive Edition
- Red Dead Redemption 2
- Rise Of The Tomb Raider
- Samurai Shodown
- Shadow Of The Tomb Raider: Definitive Edition
- Thumper
- GYLT
Pricing
Okay, two tiers. What’s the difference?
If you pay $9.99 per month, you get access to free games every month, 4K HDR streaming with 5.1 surround sound, and some Stadia-exclusive discounts on games and in-game purchases.
If you don’t want to pay, you can just buy the games instead of paying the monthly sub. However, you’re limited to 1080p streaming, and it’ll only stream in stereo, not 5.1. That’s a painful downgrade, in my opinion.
If you want to jump in early, Google is offering a $129 Founder’s Edition that includes three months of Stadia Pro, an exclusive Night Blue controller, a Chromecast Ultra, and access to Destiny 2: The Collection when it arrives in November this year.
If you figure a Chromecast Ultra is $60 bucks, and three months of Pro will run you $30, you’re getting a nifty controller for about $40. Honestly, not too bad, but it might not be the best deal if you don’t need another Chromecast. I certainly don’t.
If you want, you can lock in your pre-order through Google below. We’ll keep you updated as more details come out.
Buy it now: Google
Read more: Google


Ids are unique identifiers. You use the # to identify id's in CSS file.
Once you use it once you cant use
it again in the same document.
You cant have two ids called main.
Think of an
id
like your
drivers license number. Your
drivers license number helps to identify you and you
cant have two drivers licenses for different people with the
same number.
Therefore you use IDs when you want to select something
specific.
Classes are great classifiers. They use the . (dot) to identify the class in the CSS.
They are not unique in
nature. This means you can have multiple elements with the
same class. You can also only have one id per element but
you
can have
multiple classes per element.
Classes are used when you want to apply the same styling to
multiple elements.
Id gets higher priority than class in css. Meaning that any styling in css for the id will override the styling that has been given to the class.


{% extends "signup_layout.html" %} {% block head %} {{ super() }} {% assets "css_login" %} {% endassets %} {% endblock %} {% block content %} Back to the cross government tools' prototypes Email Create profile Create using google account Create using facebook account Back Account successfully created {% endblock %}
Account successfully created


Tutorials¶
Notebooks¶
Before running the following tutorials, NIAK needs to be properly installed. All the codes are to be executed in the matlab/octave environment. It is generally advised to create a new folder and run the script in this folder, as some datasets may be downloaded, and various images may be generated.
How to test NIAK¶
In order to validate that a computational environment behaves the way it should, NIAK offers a series of tests. To run all NIAK tests, fir create a folder to put all the test results:
psom_mkdir('test_niak')
cd test_niak
Then simply type:
niak_test_all
This command will download the test dataset, as well as a series of results generated on a trusted sy stem. All the pipelines available in NIAK will run. The tests will compare all the results generated locally with those previous results, and produce a series of reports in .csv format.
report_test_regression_connectome_demoniak.csv
report_test_regression_region_growing_demoniak.csv
report_test_regression_connectome_demoniak.csv
Those are spreadsheets formatted as comma-separated values. Each row is about one file of the associa ted pipeline, and includes the following information:
source
(boolean)1: the file exists in the source (generated results).
0: the file is absent in the source (generated results).
target
(boolean)1: the file exists in the target (reference results).
0: the file is absent in the target (reference results).
identical
(boolean or NaN)1: the files are identical (the actual test depends on file type, see the note below).
0: the files are different (the actual test depends on file type, see the note below).
NaN: unsupported file type, or the file exists only on source or target.
same_labels
(boolean or NaN)1: the .csv files have the same labels for rows and columns.
0: the .csv files have different labels for rows or columns.
NaN: not .csv files (the test does not apply, ignore value).
same_variables
(boolean or NaN)1: the .mat files contain the same variables.
0: the .mat files contain different variables.
NaN: not .mat files (the test does not apply, ignore value).
same_header_info
(boolean or NaN)1: the .nii/.mnc files have the same headers.
0: the .nii/.mnc files have different headers.
NaN: not .mnc/.nii files (the test does not apply, ignore value).
same_dim
(boolean or NaN)1: the data inside .nii/.mnc or .csv files have the same dimensions.
0: the data inside .nii/.mnc or .csv files have different dimensions.
NaN: not .mnc/.nii/.csv files (the test does not apply, ignore value).
dice_mask_brain
(scalar in [0,1] or NaN)scalar: the dice coefficient for brain masks generated for two volumes (.nii/.mnc).
NaN: not .mnc/.nii files (the test does not apply, ignore value).
max_diff
(positive scalar or NaN)scalar: the max absolute difference between two volumes (.nii/.mnc) or spreadsheets (.csv).
NaN: not .mnc/.nii/.csv files (the test does not apply, ignore value).
min_diff
(positive scalar or NaN)scalar: the min absolute difference between two volumes (.nii/.mnc) or spreadsheets (.csv).
NaN: not .mnc/.nii/.csv files (the test does not apply, ignore value).
mean_diff
(positive scalar or NaN)scalar: the mean absolute difference between two volumes (.nii/.mnc) or spreadsheets (.csv).
NaN: not .mnc/.nii/.csv files (the test does not apply, ignore value).
max_corr
(scalar in [0,1] or NaN)scalar: the max correlation between the time series of voxels inside the brain masks, for tw o 4D volumes (.nii/.mnc).
NaN: not 4D .mnc/.nii files (the test does not apply, ignore value).
min_corr
(scalar in [0,1] or NaN)scalar: the min correlation between the time series of voxels inside the brain masks, for tw o 4D volumes (.nii/.mnc).
NaN: not 4D .mnc/.nii files (the test does not apply, ignore value).
mean_corr
(scalar in [0,1] or NaN)scalar: the mean correlation between the time series of voxels inside the brain masks, for t wo 4D volumes (.nii/.mnc).
NaN: not 4D .mnc/.nii files (the test does not apply, ignore value).
Two files are identical if they exist in both source and target and
.nii/.mnc files: the headers are identical and the max absolute difference is less than a toler ance value (10^-4).
.csv files: the labels of rows and columns are identical and the max absolute difference is les s than a tolerance value (10^-4, see
opt.eps
inniak_brick_cmp_files
)..mat files: the content is identical up to a tolerance value (10^-4, see
opt.eps
inniak_bri ck_cmp_files
).
The tests fail if any two pairs of file are not identical in the reference results and the generated results. Note that tests can fail if slightly different versions of Matlab/Octave/minc tools are used when generating results as compared to the reference results. When NIAK is executed through docker, perfect replications are expected.
Read and write volumes in NIAK¶
This tutorial shows how to read and write volumes using the NIAK tools, as well as perform some basic operations. It does not generate figures. The script can be downloaded [here](https://raw.githubuser content.com/SIMEXP/niak_tutorials/master/read_write_vol/niak_tutorial_read_write_vol.m).
First download the single subject, preprocessed cambridge dataset.
clear
if ~psom_exist('single_subject_cambridge_preprocessed_nii')
system('wget http://www.nitrc.org/frs/download.php/6784/single_subject_cambridge_preprocessed_nii
.zip')
system('unzip single_subject_cambridge_preprocessed_nii.zip')
psom_clean('single_subject_cambridge_preprocessed_nii.zip')
end
To read the data, use niak_read_vol
.
[hdr,vol] = niak_read_vol('single_subject_cambridge_preprocessed_nii/fmri_sub00156_session1_rest.nii.
gz');
The hdr
output is a structure with a full description of the volume. In particular, hdr.info
cont
ains some basic info found in both nifti and minc.
hdr.info
For example, the voxel size is found in
hdr.info.voxel_size
All the detailed information are contained in hdr.details
. This field will vary based on the format
of the original volume. Here, for nifti, each field corresponds to a nifti field.
hdr.details
The vol
output is the data itself, in either a 3D or a 4D array. Any normalization (min/max) has be
en applied. It is in voxel space however, and no spatial transformation has been applied.
size(vol)
To write volumes, the name of the volume is going into the header.
hdr.file_name = 'mean_vol.nii.gz';
The number of time frames can vary, and is automatically updated. Let’s comupte the average volume
vol_mean = mean(vol,4);
To write the volume, call niak_write_vol
.
niak_write_vol(hdr,vol_mean);


When you work with us,you are part of a team of committed collaborators.All aspects of our software development process are integrated,interactiveand agile
our approach unifies design,development and product management to create exceptional products.
We start each project by understanding your business goals,the user's needs and the product requirements
Then we help translate them into effective and elegant solutions
Before we sign a contract or write a code our team will spend the necessary time needed to understand your product vision
The outcome of this scoping session is a proposal or high level statement of work
Based on your requirements,we can provide a complete offering or just the pieces you need.
We simply help people connect with what they like and create a design
We give the client the ability to choose the design which he/she wants
We do the most beautiful designs that one could desire during a short time
Delani Studios
2019


{# approve/train.html #} {% extends "base.html" %} {% block login %}{% endblock %} {% block content %}
Hi!
You have landed here because someone thinks you would like to help make videos of an event.
The process we use is not at all the typical process for making videos.
To prepare you for helping at the event, it will help if you are familiar with the process by actually doing the process for an event that has already occurred. People who have not done this often say "Oh, now I understand, I'll do better next time."
There are three phases to producing videos:For a large event, we will find additional people to help with #3. What comes next is the page they will land on. It is hard to tailor these instructions to fit everyone's role, so it is a little redundant which makes it seem like you are not on the right page.
There are only 3 pages, and you are done with the first, so without further adieu, click to the Volunteer page.
You might want to read these too:
If you want to know everything about everything: {{"https://github.com/CarlFK/veyepar/wiki/System-Stack"|urlize}}
{% endblock %}


Golf: Ortiz in contention as darkness halts final round in Mexico
(Reuters) - Four players, including home favorite Carlos Ortiz, were bunched within one shot of the lead at the Mayakoba Classic in Mexico on Sunday when play was suspended due to darkness late in the final round.
Americans Brendon Todd and Vaughn Taylor were locked at 20 under par with four holes left, while compatriot Harris English and Mexico’s Ortiz were one stroke behind.
English also had four holes remaining, while Ortiz had only one to play at the Mayakoba Resort in Playa del Carmen.
Ortiz sank a pressure-packed seven-footer in fading light to save par at the 17th and had the option of playing the final hole, but opted to call it a day rather than complete the round in semi-darkness.
“Even from the last shot it was hard to see,” he said, explaining his decision. “The putts were hard to even read. I still have a chance so I’m going to wait until early in the morning.”
But Ortiz had good reason to question the etiquette of playing companion Zach Johnson, who rushed to the 18th tee and hit his drive to ensure he could finish, even before Ortiz had putted out at the 17th.
Johnson ended up joining the group ahead and making a foursome, and Ortiz could well have felt rushed, though he did not complain publicly at least.
He appeared an unlikely candidate to be in contention after starting the final round with a double-bogey, before roaring back with seven birdies in front of an enthusiastic gallery.
The 28-year-old from Gaudalajara is having a break-out season, with two fourth-place finishes already in the new PGA Tour season which started in September.
Todd is also on fire. He was ranked 525th in the world before winning the Bermuda Open two weeks ago, and is now in the hunt to go back-to-back.
“I feel great about my game,” he said. “Really happy to have a chance to win this tournament coming off a win in Bermuda.”
Two players had holes-in-one within five minutes of each other, defending champion Matt Kuchar at the eighth and Brian Gay at the 10th.
The Monday finish is a result of Thursday’s rainout.
The final round will resume at 7.30 a.m. local time (1230 GMT).


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from luxury restaurant.
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially zunchanged...
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printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled.
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printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled.


Jo Swinson says she 'enjoyed' smoking weed at uni after pledge to make it legal
Lib Dem leader Jo Swinson has said she ‘enjoyed’ smoking cannabis at university as she pledged to make it legal if her party wins the election.
Miss Swinson last night told Newsnight: ‘I’m not going to be one of those people who says “I tried it once and I didn’t really inhale”.
‘Yes, I enjoyed it. And it wasn’t unusual… lots of people do it and we should enable them to do it more safely.’
The Liberal Democrats confirmed they will create a regulated market for the class B drug as they unveiled their manifesto on Wednesday.
The party slammed Labour and the Tories’ ‘prohibitionist attitude to drug use’ saying a cannabis tax could raise £1.5 billion to fight crime.
The pro-Remain group said they would follow models from the US and Canada by legalising the sale of cannabis through licensed shops.
It would only be legal for adults over 18, with limits placed on how strong the weed could be, the party said.
Advertisement Advertisement
After her manifesto launch, Ms Swinson said: ‘We’re criminalising far too many young people. It’s also meaning that it becomes a gateway to other crime.
‘If instead we can regulate the cannabis market, we can raise taxation revenue from that, we can set regulations about the safety of the cannabis which is bought and sold.
‘Then we can create a much safer environment. This is something that is led by the evidence.
‘It’s happened in other countries where they’ve seen a decrease in crime rate and indeed they’ve been able to make sure people’s health has been protected too.’
Under the plans, the Department of Health would lead on drugs policy rather than the Home Office.
Got a story for Metro.co.uk?
Get in touch with our news team by emailing us at<EMAIL_ADDRESS>For more stories like this, check our news page.


{{ i18n "they are using choerodon"}}
{{ i18n "to accelerate business remodeling" }}{{ i18n "and digital transformation" }}
{{ i18n "to accelerate business remodeling" }}
{{ i18n "and digital transformation" }}
{{ i18n "choerodon has increased the agility of the enterprise"}}


This syllabus is subject to change based on specific class needs, especially the schedule. Significant deviations will be discussed in class.
Data structures continues the study of abstraction and programming through a focused study of data structures, algorithms, and abstract data types. The primary focus of this course is the design and development of algorithms and programs using data abstraction and information hiding via abstract data types ADTs. Data abstraction is absolutely fundamental to good programming practice and the management of large scale problems and data sets. This course is designed to round out a student’s understanding of basic computer science concepts while strengthening the program design and development skills through continued use of an object-oriented design methodology.
It is imperative that programmers and program designers be able to determine which of the many solutions available is the best for their specific task. Throughout the course, students will focus on to making solid quantitative and qualitative judgments about program efficiency and overall program design choices. Gone are the days when “it works” is a good enough assessment for the quality of a program.
Students will explore the ideas and concepts brought up in class and homework assignments during the weekly lab session. In addition to hands on exercises, lab sessions will be used to explore current, relevant research in computer science.
The course textbook will be:
Other sources will be posted on this webpage as needed.
The course aims to cover chapters 1-8, parts of chapters 9-10, chapter 12, and parts of chapter 14 of the text. This includes, but is not limited to:
| - Review of Python fundamentals | - Object-Oriented Design Basics and Patterns |
| - Experimental and Asymptotic Algorithm Analysis | - Recursion |
| - Arrays and Sequence Data Types | - Stacks, Queues, Deques, and Priority Queues |
| - Abstract Data Types | - Linked Data Structures |
| - Binary Search Trees and Tree Traversal Algorithms | - Maps and Dictionaries |
| - Sorting, Searching, and Selection Algorithms | - Graph Algorithms (as time allows) |
This course uses Python 3 and repl.it, an online IDE service. Students will receive, complete, and submit assignments all via the website. Students can also complete assignments on their local machines (I recommend the Anaconda software package) or on the departmental server, but all assignment submissions must be done through repl.it unless otherwise specified.
The weekly workload for this course will vary by student and by week but should be about 14 hours per week on average. The following table provides a rough estimate of the distribution of time over different course components for a 16 week semester, as well as detailing the type, amount, and relative value of all assignments.
| Category | Amount | Final Grade Weight | Total Time | Time/Week (Hours) |
|---|---|---|---|---|
| Lectures | 41 | 10% (Participation) | - | 2.25 |
| Labs | 8–10 | 15% | - | 2.75 |
| Homework | 8–10 | 15% | 48 | 3 |
| Exam Study | - | - | 16 | 1 |
| Exams | 3 | 30% | - | - |
| Projects | 2 | 30% | 48 | 3 |
| Reading+Unstructured Study | - | - | 2 | |
| 14 |
Homework assignments will always either precede a lab to prepare for it or follow a lab to complete it. Each exam will focus primarily, but not necessarily exclusively, on the material covered since the previous exam.
Lab and homework assignments are graded on a simple 3 point scale, marked with (in decreasing order) a check-plus, check, or check minus. Your final grade for these two assignment categories is then based on the respective averages.
Your participation grade is based on a variety of activities. During class I will often make use of the Socrative app, so you’ll need to install this on your phones. Participating in Socrative questions and with in-class group activities is required for a decent participation grade; an A includes asking questions either in class or in office hours.
Your final grade is based on a weighted average of particular assignment categories. You can estimate your current grade based on your scores and these weights. You may always visit the instructor outside of class to discuss your current standing. Assignments and final grades use a standard grading scale shown below and will not be curved except in rare cases when deemed necessary by the instructor.
This courses uses a standard grading scale. Assignments and final grades will not be curved except in rare cases when its deemed necessary by the instructor. Percentage grades translate to letter grades as follows:
| Score | Grade |
|---|---|
| 94–100 | A |
| 90–93 | A- |
| 88–89 | B+ |
| 82–87 | B |
| 80–81 | B- |
| 78–79 | C+ |
| 72–77 | C |
| 70–71 | C- |
| 68–69 | D+ |
| 62–67 | D |
| 60–61 | D- |
| 0–59 | F |
You are always welcome to challenge a grade that you feel is unfair or calculated incorrectly. Mistakes made in your favor will never be corrected to lower your grade. Mistakes made not in your favor will be corrected. Basically, after the initial grading your score can only go up as the result of a challenge*.
You are always welcome to challenge a grade that you feel is unfair or calculated incorrectly. Mistakes made in your favor will never be corrected to lower your grade. Mistakes made not in your favor will be corrected. Basically, after the initial grading your score can only go up as the result of a challenge.
Late assignments: In general, late assignments will not be accepted. Exceptions may be made only for situations beyond your control. If you feel your reason is justified, schedule a meeting with the instructor to plead your case.
Academic dishonesty: Monmouth College’s official policy on academic dishonesty can be found here. You are responsible for reading and complying with that policy.
In this course, any violation of the academic honesty policy will have varying consequences depending on the severity of the infraction as judged by the instructor. Minimally, a violation will result in an “F” or 0 points on the assignment in question. Additionally, the student’s course grade may be lowered by one letter grade. In severe cases, the student will be assigned a course grade of “F” and dismissed from the class. All cases of academic dishonesty must be reported to the Associate Dean who may decide to recommend further action to the Admissions and Academic Status Committee, including suspension or dismissal. It is assumed that students will educate themselves regarding what is considered to be academic dishonesty, so excuses or claims of ignorance will not mitigate the consequences of any violations
Collaboration: We encourage you to make use of the resources available to you – it is fine to seek help from a friend, tutor, instructor, internet, etc. However, copying of answers and any act worthy of the label of “cheating” is never permissible! It is understandable that when you work with a partner or a group that the resultant product is often extremely similar. This is acceptable but be prepared to be asked to defend your collaborations to the instructor. You should always be able to reproduce an answer on your own, and if you cannot you likely do not really know the material.
One way to collaborate effectively is to avoid taking careful notes during a collaboration session. Discuss the material and sketch out possible solutions on a whiteboard. When you have finished, take a break and then write up your solutions without any help from notes or pictures from the study session. This not only helps avoid violations of academic dishonesty, it also improves your retention of the material!
When assignments are meant to be done in groups, you will be directed to turn in one set of solutions per group. Otherwise, each student must turn in an assignment representing their own work.
Electronic devices: Do not use your phone or other devices in class except where necessary. Any computer or tablet usage should be related to the course. If a device is not being used for Zoom or Socrative it should be put away and turned on silent. Other usage is rude and distracting to others.
General expectations: In short, I expect you to be respectful of others and take responsibility for your own learning. You are here to learn, so work hard and be professional.
Just attending class is not sufficient to truly learn the material. Read the text, use the resources available at Monmouth College, and go beyond the material.
If you miss class, you are responsible for everything covered on that day. College is, in some sense, your job. Take pride in creating quality work. Staple your assignments, label problems, and present your answers neatly and orderly.
Your job is to convince me that you have learned the material – show your work! Even if you do not know a particular answer, guide me through your thought process.
The following tentative calendar should give you a feel for how work is distributed throughout the semester. Assignments and events are listed in the week they are due or when they occur. This calendar is subject to change based on the circumstances of the course.
Note: All readings should be done before the class period in which they are listed below.
| Date | Topic | Assignments and Readings |
|---|---|---|
| Wed 08/21 | Logistics, Overview, Programming Environment | |
| Wed 08/21 – Lab | Lab 1: Python Basics with Turtle | |
| Fri 08/23 | Python Review I: References, Parameter Passing, Data Types | 1.1-1.5 |
| Mon 08/26 | Exceptions, Generators, and more | 1.6-1.9, Python Tutorial 3.1.2-3.1.3, 5.1.0, 5.3 |
| Wed 08/28 | Review Exercises | 1.10-1.11, Python tutorial 5.4-5.5 |
| Wed 08/28 – Lab | Lab 2: Using Sets and Dictionaries | |
| Fri 08/30 | Modules and Classes | 2.1-2.3 |
| Mon 09/02 | Class Hierarchies and UML | 2.4 |
| Wed 09/04 | Inheritance and Polymorphism in Python | Source code example |
| Wed 09/04 – Lab | Lab 3: Object-Oriented Turtle | |
| Fri 09/06 | Common Python Bugs | 2.5-2.6 |
| Mon 09/09 | Experimental Performance Analysis | 3.1 |
| Wed 09/11 | Big O and Asymptotic Analysis | 3.2 |
| Wed 09/11 – Lab | Lab 4: Prefix-Sums Design and Analysis | |
| Fri 09/13 | Asymptotic Analysis Exercises | 3.3, Asymptotic Notation (all sections) |
| Mon 09/16 | Justification and Proof | 3.4 |
| Wed 09/18 | Sequences and Dynamic Arrays | 5.1-5.2, Practice Exam 1 |
| Wed 09/18 – Lab | Lab 5: Exploring Dynamic Array | |
| Fri 09/20 | Dynamic Array Analysis | 5.3 |
| Mon 09/23 | Analyzing Python Sequence Operations | 5.4 |
| Wed 09/25 | Exam I Review | Practice Exam 1 Solutions |
| Wed 09/25 – Lab | Project 1 | Project 1 out |
| Fri 09/27 | Exam I | |
| Mon 09/30 | Stacks | 6.1 |
| Wed 10/02 | Exam Solutions, Queue | 6.2, Exam 1 Solutions |
| Wed 10/02 – Lab | Free lab for Project 1 | |
| Fri 10/04 | Deques, Exercises | 6.3 |
| Mon 10/07 | Linked Stack | 7.1 |
| (Wed 10/09) | (No class – 1st Half Semester Course Exams) | |
| (Wed 10/09 – Lab) | (No class – 1st Half Semester Course Exams) | |
| (Fri 10/11) | (Fall Break) | |
| Mon 10/14 | Linked Queue, Doubly-Linked List | 7.3 |
| Wed 10/16 | Recursion | 4.1, 4.3 |
| Wed 10/16 – Lab | Lab 6: Linked Lists | Project 1 Due |
| Fri 10/18 | Recurrences I | 4.2 |
| Mon 10/21 | More Recursion | 4.4 |
| Wed 10/23 | (No class) | |
| (Wed 10/23 – Lab) | (No class – Mentoring Day) | |
| Fri 10/25 | (No class) | |
| Mon 10/28 | Project 1 Solution | 4.5 |
| Wed 10/30 | Recursion Exercises | 4.6 |
| Wed 10/30 – Lab | Lab 7: Recursion Practice | |
| Fri 11/01 | Selection Sort | 12.1 |
| Mon 11/04 | Exam Review | |
| Wed 11/06 | Exam II | |
| Wed 11/06 – Lab | Lab 8: Sorting | |
| Fri 11/08 | Insertion Sort | 5.5.2 |
| Mon 11/11 | Merge Sort | 12.2 |
| Wed 11/13 | Quick Sort | 12.3, 12.5 |
| Wed 11/13 – Lab | Lab 9: Sorting II | |
| Fri 11/15 | Binary Trees | 8.1-8.3.1 |
| Mon 11/18 | Depth-First Traversals | 8.4 |
| Wed 11/20 | Breadth-First Traversal | |
| Wed 11/20 – Lab | Project 2 | Project 2 out |
| Fri 11/22 | Priority Queues and Heaps | 9.1-9.3, skim 9.4 |
| Mon 11/25 | Heapsort; Implementing Maps | 10.1 |
| (Wed 11/27) | (Thanksgiving Break) | |
| (Wed 11/27 – Lab) | (Thanksgiving Break) | |
| Fri 11/29 | (Thanksgiving Break) | |
| Mon 12/02 | Hash Tables; Search Trees | 10.2, 11.1-11.2 |
| Wed 12/04 | Final Exam Review | |
| Wed 12/04 – Lab | Free lab for Project 2 | |
| Sat 12/07 8:00 AM | Final Exam | |
| Tue 12/10 Noon | Project 2 due |
Student Success and Accessibility Services offers FREE resources to assist Monmouth College students with their academic success. Programs include supplemental instruction for difficult classes, drop-in and appointment tutoring, and individual academic coaching. The office is here to help students excel academically, since everyone can work toward better grades, practice stronger study skills, and mange their time better.
Accessibility Services: If you have a disability or had academic accommodations in high school or another college, you may be eligible for academic accommodations at Monmouth College under the Americans with Disabilities Act (ADA). Monmouth College is committed to equal educational access. To discuss any of the services offered, please call or meet with Robert Crawley, Interim Director of Student Success and Accessibility Services. SSAS is located in the new ACE space on the first floor of Hewes Library, opposite Einstein Bros. Bagels. They can be reached at<PHONE_NUMBER> or via email at<EMAIL_ADDRESS>This course covers a variety of knowledge areas as categorized by the ACM/IEEE-CS Task Force on Computing Curricula. Note that not all of these areas are introduced in this course; some are touched upon previously and others will be developed further in later courses. At the end of the course, students should achieve the following learning outcomes with the specific level of mastery:
| Knowledge Unit | Learning Outcome with Level of Mastery |
|---|---|
| Basic Analysis | - In the context of specific algorithms, identify the characteristics of data and/or other conditions or assumptions that lead to different behaviors. [Familiarity] |
| - Explain what is meant by “best”, “average”, and “worst” case behavior of an algorithm. [Familiarity] | |
| - In the context of specific algorithms, identify the characteristics of data and/or other conditions or assumptions that lead to different behaviors. | |
| - Perform empirical studies to validate hypotheses about runtime stemming from mathematical analysis. Run algorithms on various input sizes and compare performance. [Assessment] | |
| - Determine informally the time and space complexity of simple algorithms. [Usage] | |
| - Understand the formal definition of big O. [Familiarity] | |
| - List and contrast standard complexity classes. [Familiarity] | |
| - Give examples that illustrate time-space trade-offs of algorithms. [Familiarity] | |
| - Use big O notation formally to give asymptotic upper bounds on time and space complexity of algorithms. [Usage] | |
| Algorithmic Strategies | - Have facility mapping pseudocode to implementation, implementing examples of algorithmic strategies from scratch, and applying them to specific problems. [Familiarity] |
| - Use a divide-and-conquer algorithm to solve an appropriate problem. [Usage] | |
| Fundamental Data Structures and Algorithms | - Implement simple search algorithms and explain the differences in their time complexities. [Usage, Assessment] |
| - Discuss factors other than computational efficiency that influence the choice of algorithms, such as programming time, maintainability, and the use of application-specific patterns in the input data. [Familiarity] | |
| - Be able to implement common quadratic and $O(n \log n)$ sorting algorithms. [Usage] | |
| - Demonstrate the ability to evaluate algorithms, to select from a range of possible options, to provide justification for that selection, and to implement the algorithm in a particular context. [Usage, Assessment] | |
| Fundamentals | - Explain the concept of modeling and the use of abstraction that allows the use of a machine to solve a problem. [Familiarity] |
| Basics of Counting | - Perform computations involving modular arithmetic. [Usage] |
| Processing | - Analyze simple problem statements to identify relevant information and select appropriate processing to solve the problem. [Assessment] |
| - Identify the issues impacting correctness and efficiency of a computation [Familiarity] | |
| Defensive Programming | - Demonstrate the identification and graceful handling of error conditions. [Usage] |
| Graphs and Trees | - Demonstrate different traversal methods for trees [and graphs], including pre, post, and in-order traversal of trees. [Usage] |
| - Model a variety of real-world problems in computer science using appropriate forms of [graphs and] trees, such as representing … a hierarchical file system. [Usage] | |
| Data Modeling | - Describe the main concepts of the OO model such as object identity, type constructors, encapsulation, inheritance, polymorphism, and versioning. [Familiarity] |
| Object-Oriented Programming | - Compare and contrast the procedural and object-oriented approach. Understand both as defining a matrix of operations and variants. [Assessment] |
| - Use subclassing to design simple class hierarchies that allow code to be reused for distinct subclasses. [Usage] | |
| Algorithms and Design | - Determine whether a recursive or iterative solution is most appropriate for a problem. [Assessment] |
| - Implement a divide-and-conquer algorithm for solving a problem. [Usage] | |
| - Apply the technique of decomposition to break a problem into smaller pieces. [Usage] | |
| - Implement a coherent abstract data type, with loose coupling between components and behavior. [Usage] | |
| - Discuss the importance of algorithms in the problem-solving process. [Familiarity] | |
| - Discuss how a problem may be solved by multiple algorithms, each with different properties. [Familiarity] | |
| - Implement, test, and debug simple recursive functions. [Usage] | |
| Fundamental Programming Concepts | - Analyze and explain the behavior of simple problems involving the fundamental programming constructs. [Assessment] |
| - Identify the base case and the general case of a recursively-defined problem. [Assessment] | |
| Fundamental Data Structures | - Discuss the appropriate use of built-in data structures. [Familiarity] |
| - Describe common applications for each data structure in the topic list. [Familiarity] | |
| - Write programs that use each of the following data structures: arrays, strings, linked lists, stacks, queues, sets, and maps. [Usage] | |
| - Compare alternative implementations of data structures with respect to performance. [Assessment] | |
| - Choose the appropriate data structures for modeling a given problem. [Assessment] | |
| Development Methods | - Trace the execution of a variety of code segments and write summaries of their computations. [Assessment] |
| - Apply a variety of strategies to the testing and debugging of simple programs. [Usage] | |
| - Construct and debug programs using the standard libraries available with the chosen programming language. [Usage] | |
| - Apply consistent documentation and program style standards that contribute to the readability and maintainability of software. | |
| Software Construction | - Construct models of the design of a simple software system that are appropriate for the paradigm used to design it. [Usage] |
| Professional Communication | - Evaluate written technical documentation to detect problems of various kinds. [Assessment] |


<linklist>
The <linklist> element defines an author-arranged group of links. When rendering the links, processors SHOULD preserve the order of links specified within a <linklist> element.
Category: Related links elements


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Class ProjectFolderItemModel
This class represents a project folder within the application.
Inheritance
Inherited Members
Namespace: Vasont.Inspire.Models.Projects
Assembly: Vasont.Inspire.Models.dll
Syntax
public class ProjectFolderItemModel
Constructors
| Improve this Doc View SourceProjectFolderItemModel()
Initializes a new instance of the ProjectFolderItemModel class.
Declaration
public ProjectFolderItemModel()
Properties
| Improve this Doc View SourceCanTranslate
Gets or sets a value indicating whether this component can translate.
Declaration
public bool CanTranslate { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Children
Gets or sets a list of ProjectFolderItemModel objects representing sub-folders and/or components within this project folder item.
Declaration
public List<ProjectFolderItemModel> Children { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Collections.Generic.List<ProjectFolderItemModel> |
ComponentId
Gets or sets the component identity value.
Declaration
public long ComponentId { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int64 |
ComponentType
Gets or sets the component type.
Declaration
public MinimalComponentTypeModel ComponentType { get; set; }
Property Value
| Type | Description |
|---|---|
| MinimalComponentTypeModel |
CreatedDate
Gets or sets the date time when the project folder item was created.
Declaration
public DateTime CreatedDate { get; set; }
Property Value
| Type | Description |
|---|---|
| System.DateTime |
DefaultFolder
Gets or sets a value indicating whether this project folder will be considered the default folder when adding new content.
Declaration
public bool DefaultFolder { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Description
Gets or sets the project folder description.
Declaration
public string Description { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
FileName
Gets or sets the file name of the component.
Declaration
public string FileName { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
FolderId
Gets or sets the folder identity value.
Declaration
public long FolderId { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int64 |
Id
Gets or sets the unique identifier of the project folder item.
Declaration
[JsonProperty(Order = 1)]
public string Id { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
IsImage
Gets a value indicating whether the folder item is an image component.
Declaration
public bool IsImage { get; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
LanguageCode
Gets or sets the language code of component content.
Declaration
public string LanguageCode { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
Lock
Gets or sets a value indicating the locked state of the component.
Declaration
public ComponentLockModel Lock { get; set; }
Property Value
| Type | Description |
|---|---|
| ComponentLockModel |
Name
Gets or sets the project folder name.
Declaration
[JsonProperty(Order = 5)]
public string Name { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
OrderIndex
Gets or sets the folder ordering index override.
Declaration
public int OrderIndex { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int32 |
ParentFolderId
Gets or sets the related parent folder identity value.
Declaration
public long? ParentFolderId { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Int64> |
ParentId
Gets or sets the parent project folder item identity value.
Declaration
[JsonProperty(Order = 3)]
public string ParentId { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
Permissions
Gets or sets the permissions information for the specified component.
Declaration
public PermissionModel Permissions { get; set; }
Property Value
| Type | Description |
|---|---|
| PermissionModel |
ProjectId
Gets or sets the associated project identity value.
Declaration
[JsonProperty(Order = 4)]
public long ProjectId { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int64 |
State
Gets or sets the component state information.
Declaration
public ComponentStateType State { get; set; }
Property Value
| Type | Description |
|---|---|
| ComponentStateType |
StateText
Gets or sets the state via a text value.
Declaration
[JsonIgnore]
public string StateText { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
Type
Gets or sets the project item type.
Declaration
[JsonProperty(Order = 2)]
[JsonConverter(typeof(StringEnumConverter))]
public ProjectFolderItemType Type { get; set; }
Property Value
| Type | Description |
|---|---|
| ProjectFolderItemType |
TypeText
Gets or sets the folder item type via a text string.
Declaration
[JsonIgnore]
public string TypeText { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
UpdatedBy
Gets or sets the updater user information model.
Declaration
public MinimalUserModel UpdatedBy { get; set; }
Property Value
| Type | Description |
|---|---|
| MinimalUserModel |
UpdatedDate
Gets or sets the date time when the project folder item was last updated.
Declaration
public DateTime UpdatedDate { get; set; }
Property Value
| Type | Description |
|---|---|
| System.DateTime |
Methods
| Improve this Doc View SourceShouldPermissions()
This method is called by the serializer to determine if the property Permissions should be rendered.
Declaration
public bool ShouldPermissions()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |
ShouldSerializeApproved()
This method is called by the serializer to determine if the property Approved should be rendered.
Declaration
public bool ShouldSerializeApproved()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |
ShouldSerializeComponentId()
This method is called by the serializer to determine if the property ComponentId should be rendered.
Declaration
public bool ShouldSerializeComponentId()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |
ShouldSerializeComponentType()
This method is called by the serializer to determine if the property ComponentType should be rendered.
Declaration
public bool ShouldSerializeComponentType()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |
ShouldSerializeDefaultFolder()
This method is called by the serializer to determine if the property DefaultFolder should be rendered.
Declaration
public bool ShouldSerializeDefaultFolder()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |
ShouldSerializeDescription()
This method is called by the serializer to determine if the property Description should be rendered.
Declaration
public bool ShouldSerializeDescription()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |
ShouldSerializeFileName()
This method is called by the serializer to determine if the property FileName should be rendered.
Declaration
public bool ShouldSerializeFileName()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |
ShouldSerializeFolderId()
This method is called by the serializer to determine if the property FolderId should be rendered.
Declaration
public bool ShouldSerializeFolderId()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |
ShouldSerializeLanguageCode()
This method is called by the serializer to determine if the property LanguageCode should be rendered.
Declaration
public bool ShouldSerializeLanguageCode()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |
ShouldSerializeLock()
This method is called by the serializer to determine if the property Lock should be rendered.
Declaration
public bool ShouldSerializeLock()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |
ShouldSerializeOrderIndex()
This method is called by the serializer to determine if the property Description should be rendered.
Declaration
public bool ShouldSerializeOrderIndex()
Returns
| Type | Description |
|---|---|
| System.Boolean | Returns a value indicating whether to render the related property. |


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About Silent's Free Services
The SFS website is a supporting website for the Silent's Free Services Discord server. If you have any questions, feel free to go to the FAQ just right below this paragraph. If it does not help you, the community would be happy to answer some commonly asked questions here. This website was also developed by one of our admins, Zhai_#9998 (Message from Zhai: Make sure to check out my website!).
The website may sometimes be used for Polls for the server, so stay tuned for those polls. Events may also be announced here in the home page, as well as in the SFS Discord.
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SUGCON Sitecore BOT
This bot is created for the Sitecore User Group Conference (SUGCON) 2017 held in Amsterdam!


{% extends 'base.html' %} {% load guardian_tags %} {% block team_content %}
{{ category.description }}
| Items | Items are the central objects in the system. All Items belong to a Category, and an Items Facts and Ratings are defined by the Category the Item belongs to. | |
|---|---|---|
| Facts | Facts are used to represent some indisputable thing about an Item. Facts can be required or optional when creating an Item. | |
| Ratings | Ratings are the voteable aspects of the Items, opinions rather than Facts. When rating an Item each Vote can be accompanied by a comment. |


public class SegmentCk extends Segment
LEFT_NODE_VALUE_PARAMETER_INDEX, RIGHT_NODE_VALUE_PARAMETER_INDEX
| Modifier and Type | Method and Description |
|---|---|
WengertJacobian |
calcJacobian()
Calculate the Jacobian for the segment
|
double |
calcOrderedDerivative(double dblPoint,
int iOrder,
boolean bLocal)
Calculate the ordered derivative for the node
|
WengertJacobian |
calcValueElasticJacobian(double dblPoint)
Calculate the Jacobian of the computed value to the segment elastics at the specified point
|
WengertJacobian |
calcValueJacobian(double dblPoint)
Calculate the Jacobian of the interpolated value at the given input point
|
boolean |
calibrate(double dblYLeft,
double[] adblLeftDeriv,
double dblYRight)
Calibrate the coefficients from the boundary values and the left derivatives set
|
boolean |
calibrate(Segment segPrev,
double dblY1)
Calibrate the coefficients from the prior Segment and the right node value
|
double |
derivative(double dblX,
int iOrder)
d^nY/dx^n from X
|
java.lang.String |
displayString()
Display the string representation for diagnostic purposes
|
int |
getCk()
Get the Ck constraint number
|
AbstractUnivariate |
getShapeControl()
Retrieve the Shape Control
|
int |
numBasis()
Retrieve the number of Basis Functions
|
int |
numParameters()
Retrieve the Number of Parameters
|
double |
y(double dblX)
Y from X
|
calcValue, calibrate, calibrateJacobian, calibrateJacobian, calibrateJacobian, monotoneType
calcNormalizedOrdinate, compareTo, getLeft, getRight, getSpan, hashCode, isInSegment
public double y(double dblX) throws java.lang.Exception
Segment
public double derivative(double dblX, int iOrder) throws java.lang.Exception
Segment
derivative
in class Segment
dblX
- XiOrder
- Order of the Derivativejava.lang.Exception
- Thrown if d^nY/dx^n Cannot be computed.public int getCk()
public AbstractUnivariate getShapeControl()
public int numBasis()
Segment
public int numParameters()
Segment
numParameters
in class Segment
public double calcOrderedDerivative(double dblPoint, int iOrder, boolean bLocal) throws java.lang.Exception
Segment
calcOrderedDerivative
in class Segment
dblPoint
- Point at which the derivatives are to be calculatediOrder
- Derivative OrderbLocal
- TRUE => Get the localized transform of the derivative; FALSE => Get the untransformedjava.lang.Exception
public boolean calibrate(double dblYLeft, double[] adblLeftDeriv, double dblYRight)
Segment
public boolean calibrate(Segment segPrev, double dblY1)
Segment
public WengertJacobian calcJacobian()
Segment
calcJacobian
in class Segment
public WengertJacobian calcValueJacobian(double dblPoint)
Segment
calcValueJacobian
in class Segment
dblPoint
- Input pointpublic WengertJacobian calcValueElasticJacobian(double dblPoint)
Segment
calcValueElasticJacobian
in class Segment
dblPoint
- Input Pointpublic java.lang.String displayString()
Segment
displayString
in class Segment


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{% extends "transport_goods/layout.html" %} {% block page_title %} Driving lessons {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} {{formData | safe}} Read rules Read rules Before applying, check the rules, rights and responsibilities to transport goods: You must: get a licence for the goods you transport. For example food or animals get a licnece to export have enough money available to maintain your vehicles hired a mechanic to regulary maintain your vehicles keep full history of each vehicle keep records of your drivings You can't: overload your vehicles drive it’s unroadworthy vehicles break the rules on the transport of dangerous goods got over drivers’ hours regulations You can: transport goods with heavy vehicles {% endblock %}
Before applying, check the rules, rights and responsibilities to transport goods:


WITNESS LIST Criminal Jurisprudence Committee (SUBCOMMITTEE ON Procedure) April 18, 2005-2:00P HB 277 For: Burns, Sharon Ann (Self and Burns, Crimson, and Associates) Kahan, Andy (Mayor's Crime Victims Office) Tippen, Dan (Self and Harris County Supervision and Corrections Department) On: Collier, Bryan (Texas Department of Criminal Justice- Parole Division) HB 838 For: Boehland, Barbara Garcia (Eduardo Ramon III, S.N.A.P. (Survivors Network of those Abused by Priests)) Burt, Stephanie (Self) Burt, Tommy (Self) Camp, Victoria (Texas Association Against Sexual Assault) Coburn, Nathan (Mothers Against Sexual Abuse) Davis, Grace (Self) Healey, John (Self) Hill, Mark (Self and S.N.A.P.) Kahan, Andy (Mayor's Crime Victims Office) Kuykendall, Rhonda (Self) Miller, Crystal (Self) Rolater, John (Bill Hill, Dallas County Criminal District Attorney) Spriggs-Adams, Clara (Self) Wasson, Felicia L. (Bill Hill, Dallas County District Attorney's Office) Wiedeman, Whitney S. (Caldwell County Criminal District Attorney) Against: Epstein, Ruth (ACLU of Texas) Hampton, Keith S. (Texas Criminal Defense Lawyers Association)


Details
- Park Name: {{userDetails.parkName}}
- Number of total slots: {{userDetails.numberOfSlots}}
- Open Hours: {{userDetails.openHours}}
| Vehicle Type | Number of slots allocated | Charge per one hour |
|---|---|---|
| Cars and Vans | {{userDetails.alocatedSlots1}} | {{userDetails.hourCharge1}} |
| Bikes | {{userDetails.alocatedSlots2}} | {{userDetails.hourCharge2}} |
| Lorries and Buses | {{userDetails.alocatedSlots3}} | {{userDetails.hourCharge3}} |
| Three Wheelers | {{userDetails.alocatedSlots4}} | {{userDetails.hourCharge4}} |
| Long Vehicles | {{userDetails.alocatedSlots5}} | {{userDetails.hourCharge5}} |


'Star Wars: The Rise of Skywalker' Celebrates Over 40 Years of the Franchise With Special Look Video
A look at how Star Wars has impacted pop culture.
by Mallory ChinWith Star Wars: The Rise of Skywalker, the final chapter of the epic Skywalker Saga, set to release next month, Star Wars has just shared special look video that pays homage to the beloved franchise.
Running in at two-and-a-half-minutes, the video showcases how Star Wars has impacted pop culture for over 40 years and includes visuals of the cast, backstage rehearsals, fans from all over the world, and much, much more. The clip also contains a few behind-the-scenes glimpses of the new movie — including the reveal that Hamilton creator Lin-Manuel Miranda will have a role in the new film after helping write music for Star Wars: The Force Awakens — along with the franchise’s appearances in Spaceballs, The Simpsons, Family Guy, The Muppets, and Phineas & Ferb. Additionally visuals of past U.S. Presidents Ronald Reagan and Barack Obama searching for Star Wars is also included.
The epic conclusion to the Skywalker saga, Star Wars: The Rise of Skywalker hits theaters December 20.
In related news, BAPE teases new Star Wars: The Mandalorian collaborative capsule.


We follow a light-weight double-blind reviewing process. Thus, submitted papers must not
reveal the identities of authors. However, the author names will be known to the program
committee in the rebuttal phase.
Both authors and reviewers are expected to make every effort to honor the double-blind
reviewing process. In case of questions, please contact the Program Chairs.
Authors should ensure that the submission can be evaluated without it being obvious who
wrote the paper. This means leaving author names off the paper and using terms like
"previous research" rather than "our previous research" when describing background.
However, do not hide previous work – papers must still reference all relevant research,
including that by the current authors, so reviewers can evaluate novelty. It is important that
authors specify all conflicts of interest with potential reviewers during the submission phase.
Reviewers should not undertake any investigation that might lead to the revealing of authors
identity. If identities are inadvertently revealed, please contact the Program Chairs.
The Program Chairs will check all submissions for obvious signs of lack of anonymity and
may ask authors to make changes and resubmit the paper within four days of the submission
deadline.


My name is Kayla Kielek and I am currently in the Bachelor of Education program at Mount Royal University, minoring in Humanities. I am employed as a Children's entertainer (ie. face painting, balloon twisting...) and find that it is such an enriching experience to have fun with your work while making kids smile.
I am passionate about teaching because I feel that it is one of the few careers left in which you can make a big difference in someone's life. I believe that teachers need to have strong relationships with their students in order to effectively communicate and build a safe learning community in the classroom.
As a teacher, I want to be able to help students reach their dreams, no matter how big they may be and give them the resources they need to succeed.
I've always enjoyed spending time with children and trying to connect with them on their level. Since I've worked as a face painter for so long, I have had lots of experience working with kids. I've also had the opportunity to be a camp counselor at kids and youth church camps.
I like to think of myself as a kid at heart because I still enjoy shows like My Little Pony and Disney movies. I have an easy time connecting with kids because of our common interests which I feel will be very beneficial when I begin to teach!
I've been very fortunate to be able to travel lots since I was a child. My family would always go to Disneyland or Disney World every year, it's almost our home away from home. I have also been fortunate enough to see the Mayan ruins in Mexico and as well as visit various parts of the Caribbean.
I recently traveled to many places in Europe over the summer which has really given me insight into teaching visual arts in the classroom. Being able to see master pieces like the Mona Lisa or Vincent Van Gogh's self portrait in person has given me new inspiration in regards to teaching as well as allows me to share these experiences with the students I teach. Because of travelling, I can take my passions and inspirations that I have gained through my journeys and instill them into the students I teach.
I have always loved art growing up. Since I was seven I've followed in my mother's footsteps and learned face painting and balloon twisting. I have always had a talent for creating something beautiful out of nothing and have had amazing opportunities to showcase my love of art, including being able to paint an outdoor mural on a community center in Calgary. I mainly like paint but I love trying to create art in all different kinds of mediums. I aspire to be a teacher who focuses on arts integration.


( a) Boxplots of the annual/seasonal runoff simulations for Minhe station under the four slope ecological restoration scenarios during 1965–2017. The number of each box represents the average. ( b) Mean monthly runoff for Minhe station under the four slope ecological restoration scenarios during 1965–2017.


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The Organization Interactions API allows organization owners to temporarily restrict interactions in the organization's public repositories. For more information, see "Limiting interactions in your organization."


Do it yourself
--- title: "Download" linktitle: "Get The Things Stack" description: "" menu: buttons: weight: 1 ---
Open SourceDo it yourself |
CommunityThe Things Network |
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