SaleProductQuery
class SaleProductQuery extends SaleProductQuery
Skeleton subclass for performing query and update operations on the 'sale_product' table.
You should add additional methods to this class to meet the application requirements. This class will only be generated as long as it does not already exist in the output directory.
Methods
Initializes internal state of \Thelia\Model\Base\SaleProductQuery object.
Returns a new ChildSaleProductQuery object.
Find object by primary key.
Find objects by primary key
$objs = $c->findPks(array(12, 56, 832), $con);
Filter the query by primary key
Filter the query by a list of primary keys
Filter the query on the id column
Filter the query on the sale_id column
Filter the query on the product_id column
Filter the query on the attributeavid column
Filter the query by a related \Thelia\Model\Sale object
Adds a JOIN clause to the query using the Sale relation
Use the Sale relation Sale object
Filter the query by a related \Thelia\Model\Product object
Adds a JOIN clause to the query using the Product relation
Use the Product relation Product object
Filter the query by a related \Thelia\Model\AttributeAv object
Adds a JOIN clause to the query using the AttributeAv relation
Use the AttributeAv relation AttributeAv object
Deletes all rows from the sale_product table.
Performs a DELETE on the database, given a ChildSaleProduct or Criteria object OR a primary key value.
Order by the id column
Order by the sale_id column
Order by the product_id column
Order by the attributeavid column
Group by the attributeavid column
Adds a LEFT JOIN clause to the query
Adds a RIGHT JOIN clause to the query
Adds a INNER JOIN clause to the query
Adds a LEFT JOIN clause to the query using the Sale relation
Adds a RIGHT JOIN clause to the query using the Sale relation
Adds a INNER JOIN clause to the query using the Sale relation
Adds a LEFT JOIN clause to the query using the Product relation
Adds a RIGHT JOIN clause to the query using the Product relation
Adds a INNER JOIN clause to the query using the Product relation
Adds a LEFT JOIN clause to the query using the AttributeAv relation
Adds a RIGHT JOIN clause to the query using the AttributeAv relation
Adds a INNER JOIN clause to the query using the AttributeAv relation
Return the first ChildSaleProduct matching the query
Return the first ChildSaleProduct matching the query, or a new ChildSaleProduct object populated from the query conditions when no match is found
Return the first ChildSaleProduct filtered by the id column
Return the first ChildSaleProduct filtered by the sale_id column
Return the first ChildSaleProduct filtered by the product_id column
Return the first ChildSaleProduct filtered by the attributeavid column
Return ChildSaleProduct objects filtered by the id column
Return ChildSaleProduct objects filtered by the sale_id column
Return ChildSaleProduct objects filtered by the product_id column
Return ChildSaleProduct objects filtered by the attributeavid column
Details
in
SaleProductQuery at line 74
__construct(
string $dbName = 'thelia',
string $modelName = '\\Thelia\\Model\\SaleProduct',
string $modelAlias = null)
Initializes internal state of \Thelia\Model\Base\SaleProductQuery object.
in
SaleProductQuery at line 87
static
SaleProductQuery
create(
string $modelAlias = null,
Criteria $criteria = null)
Returns a new ChildSaleProductQuery object.
in
SaleProductQuery at line 117
SaleProduct|array|mixed
findPk(
mixed $key,
ConnectionInterface $con = null)
Find object by primary key.
Propel uses the instance pool to skip the database if the object exists. Go fast if the query is untouched.
$obj = $c->findPk(12, $con);
in
SaleProductQuery at line 199
ObjectCollection|array|mixed
findPks(
array $keys,
ConnectionInterface $con = null)
Find objects by primary key
$objs = $c->findPks(array(12, 56, 832), $con);
in
SaleProductQuery at line 220
SaleProductQuery
filterByPrimaryKey(
mixed $key)
Filter the query by primary key
in
SaleProductQuery at line 233
SaleProductQuery
filterByPrimaryKeys(
array $keys)
Filter the query by a list of primary keys
in
SaleProductQuery at line 257
SaleProductQuery
filterById(
mixed $id = null,
string $comparison = null)
Filter the query on the id column
Example usage:
$query->filterById(1234); // WHERE id = 1234
$query->filterById(array(12, 34)); // WHERE id IN (12, 34)
$query->filterById(array('min' => 12)); // WHERE id > 12
in
SaleProductQuery at line 300
SaleProductQuery
filterBySaleId(
mixed $saleId = null,
string $comparison = null)
Filter the query on the sale_id column
Example usage:
$query->filterBySaleId(1234); // WHERE saleid = 1234
$query->filterBySaleId(array(12, 34)); // WHERE saleid IN (12, 34)
$query->filterBySaleId(array('min' => 12)); // WHERE sale_id > 12
in
SaleProductQuery at line 343
SaleProductQuery
filterByProductId(
mixed $productId = null,
string $comparison = null)
Filter the query on the product_id column
Example usage:
$query->filterByProductId(1234); // WHERE productid = 1234
$query->filterByProductId(array(12, 34)); // WHERE productid IN (12, 34)
$query->filterByProductId(array('min' => 12)); // WHERE product_id > 12
in
SaleProductQuery at line 386
SaleProductQuery
filterByAttributeAvId(
mixed $attributeAvId = null,
string $comparison = null)
Filter the query on the attributeavid column
Example usage:
$query->filterByAttributeAvId(1234); // WHERE attributeavid = 1234
$query->filterByAttributeAvId(array(12, 34)); // WHERE attributeavid IN (12, 34)
$query->filterByAttributeAvId(array('min' => 12)); // WHERE attributeavid > 12
in
SaleProductQuery at line 417
SaleProductQuery
filterBySale(
Sale|ObjectCollection $sale,
string $comparison = null)
Filter the query by a related \Thelia\Model\Sale object
in
SaleProductQuery at line 442
SaleProductQuery
joinSale(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Adds a JOIN clause to the query using the Sale relation
in
SaleProductQuery at line 477
SaleQuery
useSaleQuery(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Use the Sale relation Sale object
in
SaleProductQuery at line 492
SaleProductQuery
filterByProduct(
Product|ObjectCollection $product,
string $comparison = null)
Filter the query by a related \Thelia\Model\Product object
in
SaleProductQuery at line 517
SaleProductQuery
joinProduct(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Adds a JOIN clause to the query using the Product relation
in
SaleProductQuery at line 552
ProductQuery
useProductQuery(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Use the Product relation Product object
in
SaleProductQuery at line 567
SaleProductQuery
filterByAttributeAv(
AttributeAv|ObjectCollection $attributeAv,
string $comparison = null)
Filter the query by a related \Thelia\Model\AttributeAv object
in
SaleProductQuery at line 592
SaleProductQuery
joinAttributeAv(
string $relationAlias = null,
string $joinType = Criteria::LEFT_JOIN)
Adds a JOIN clause to the query using the AttributeAv relation
in
SaleProductQuery at line 627
AttributeAvQuery
useAttributeAvQuery(
string $relationAlias = null,
string $joinType = Criteria::LEFT_JOIN)
Use the AttributeAv relation AttributeAv object
in
SaleProductQuery at line 641
SaleProductQuery
prune(
SaleProduct $saleProduct = null)
Exclude object from result
in
SaleProductQuery at line 656
int
doDeleteAll(
ConnectionInterface $con = null)
Deletes all rows from the sale_product table.
in
SaleProductQuery at line 693
int
delete(
ConnectionInterface $con = null)
Performs a DELETE on the database, given a ChildSaleProduct or Criteria object OR a primary key value.
in
SaleProductQuery at line 64
ChildSaleProductQuery
orderById($order = Criteria::ASC)
Order by the id column
in
SaleProductQuery at line 64
ChildSaleProductQuery
orderBySaleId($order = Criteria::ASC)
Order by the sale_id column
in
SaleProductQuery at line 64
ChildSaleProductQuery
orderByProductId($order = Criteria::ASC)
Order by the product_id column
in
SaleProductQuery at line 64
ChildSaleProductQuery
orderByAttributeAvId($order = Criteria::ASC)
Order by the attributeavid column
in
SaleProductQuery at line 64
ChildSaleProductQuery
groupById()
Group by the id column
in
SaleProductQuery at line 64
ChildSaleProductQuery
groupBySaleId()
Group by the sale_id column
in
SaleProductQuery at line 64
ChildSaleProductQuery
groupByProductId()
Group by the product_id column
in
SaleProductQuery at line 64
ChildSaleProductQuery
groupByAttributeAvId()
Group by the attributeavid column
in
SaleProductQuery at line 64
ChildSaleProductQuery
leftJoin($relation)
Adds a LEFT JOIN clause to the query
in
SaleProductQuery at line 64
ChildSaleProductQuery
rightJoin($relation)
Adds a RIGHT JOIN clause to the query
in
SaleProductQuery at line 64
ChildSaleProductQuery
innerJoin($relation)
Adds a INNER JOIN clause to the query
in
SaleProductQuery at line 64
ChildSaleProductQuery
leftJoinSale($relationAlias = null)
Adds a LEFT JOIN clause to the query using the Sale relation
in
SaleProductQuery at line 64
ChildSaleProductQuery
rightJoinSale($relationAlias = null)
Adds a RIGHT JOIN clause to the query using the Sale relation
in
SaleProductQuery at line 64
ChildSaleProductQuery
innerJoinSale($relationAlias = null)
Adds a INNER JOIN clause to the query using the Sale relation
in
SaleProductQuery at line 64
ChildSaleProductQuery
leftJoinProduct($relationAlias = null)
Adds a LEFT JOIN clause to the query using the Product relation
in
SaleProductQuery at line 64
ChildSaleProductQuery
rightJoinProduct($relationAlias = null)
Adds a RIGHT JOIN clause to the query using the Product relation
in
SaleProductQuery at line 64
ChildSaleProductQuery
innerJoinProduct($relationAlias = null)
Adds a INNER JOIN clause to the query using the Product relation
in
SaleProductQuery at line 64
ChildSaleProductQuery
leftJoinAttributeAv($relationAlias = null)
Adds a LEFT JOIN clause to the query using the AttributeAv relation
in
SaleProductQuery at line 64
ChildSaleProductQuery
rightJoinAttributeAv($relationAlias = null)
Adds a RIGHT JOIN clause to the query using the AttributeAv relation
in
SaleProductQuery at line 64
ChildSaleProductQuery
innerJoinAttributeAv($relationAlias = null)
Adds a INNER JOIN clause to the query using the AttributeAv relation
in
SaleProductQuery at line 64
ChildSaleProduct
findOne(
ConnectionInterface $con = null)
Return the first ChildSaleProduct matching the query
in
SaleProductQuery at line 64
ChildSaleProduct
findOneOrCreate(
ConnectionInterface $con = null)
Return the first ChildSaleProduct matching the query, or a new ChildSaleProduct object populated from the query conditions when no match is found
in
SaleProductQuery at line 64
ChildSaleProduct
findOneById(
int $id)
Return the first ChildSaleProduct filtered by the id column
in
SaleProductQuery at line 64
ChildSaleProduct
findOneBySaleId(
int $sale_id)
Return the first ChildSaleProduct filtered by the sale_id column
in
SaleProductQuery at line 64
ChildSaleProduct
findOneByProductId(
int $product_id)
Return the first ChildSaleProduct filtered by the product_id column
in
SaleProductQuery at line 64
ChildSaleProduct
findOneByAttributeAvId(
int $attribute_av_id)
Return the first ChildSaleProduct filtered by the attributeavid column
in
SaleProductQuery at line 64
array
findById(
int $id)
Return ChildSaleProduct objects filtered by the id column
in
SaleProductQuery at line 64
array
findBySaleId(
int $sale_id)
Return ChildSaleProduct objects filtered by the sale_id column
in
SaleProductQuery at line 64
array
findByProductId(
int $product_id)
Return ChildSaleProduct objects filtered by the product_id column
in
SaleProductQuery at line 64
array
findByAttributeAvId(
int $attribute_av_id)
Return ChildSaleProduct objects filtered by the attributeavid column


This is another post in the ongoing series in which I try to learn 2D vector graphics using Julia. It doesn't contain any revelations or new material, and you should visit the following sites if you're looking for a good introduction to the subject of noise in graphics:
I'm using Julia version 1.0 if you want to play along; you can find the source files and notebooks on the github. If you do, you'll need the packages Luxor, Colors, and ColorSchemes. I used Literate.jl to produce the Markdown and Jupyter notebook versions.
Luxor provides a function called noise()
. This can accept a single floating-point number as input, and it returns a value between 0.0 and 1.0.
using Luxor
noise(0.0)
0.8261106995884773
noise(1.0)
0.5
noise(2.0)
0.4460609053497945
It will be easier to draw some graphs. Here's a quick throwaway function to draw a simple graph.
function graph(a, width = 800;
startnumber = 0,
endnumber = 1,
style = :line,
margin = 30)
setline(1)
bars(a, labels =false,
xwidth = (width - 2margin)/length(a),
yheight =40,
barfunction = (bottom::Point, top::Point, value;
extremes=extrema(a), barnumber=0, bartotal=0) ->
begin
if style == :line
line(bottom, top, :stroke)
else
circle(top, 1, :fill)
end
end)
sethue("black")
label(string(startnumber), :S,
Point(0, 0), offset=10)
label(string(endnumber), :S,
Point(width - 2margin, 0), offset=10)
end
function drawgraph(startvalue, endvalue, filename)
Drawing(800, 150, filename)
background("white")
origin()
# move to top left corner
margin=30
translate(BoundingBox()[1] + (margin, boxheight(BoundingBox()/2)))
sethue("black")
graph(noise.(range(startvalue, endvalue, length=200)),
startnumber=startvalue,
endnumber=endvalue)
finish(); preview()
end
To test this out, graph 200 random integers:
Drawing(800, 150, "images/noise/graph-random.png")
background("white")
origin() ## move to top left corner
margin=30
translate(BoundingBox()[1] + (margin, boxheight(BoundingBox()/2)))
sethue("black")
graph(rand(200))
finish(); preview()
To start with, let's graph the output of the noise()
function for the first 200 integers:
drawgraph(0, 200, "images/noise/graph-0-200.png")
It looks very random. But let's look at 200 values between 0 and 10:
drawgraph(0, 10, "images/noise/graph-0-10.png")
There's some randomness, but it's smoother, and looks more natural.
Zoom and enhance, between 0 and 5:
drawgraph(0, 5, "images/noise/graph-5.png")
You can see that the left half of the 0 to 10 graph has been stretched.
Between 0 and 1:
drawgraph(0, 1, "images/noise/graph-0-1.png")
One more for luck:
drawgraph(0, 0.5, "images/noise/graph-0-05.png")
The more often you sample the noise space (ie the shorter the gaps between the set of values passed to noise()
, the closer together the output values will be.
So the noise()
function provides gently changing undulations rather than the unpredictable jumps of randomness. Here's a slowly changing color pattern in the LCHab color space, using a set of noisy values to choose the hue. We'll change the length of each line as well just for fun:
using Colors
@svg begin ## switch to SVG for better graphic quality
rate = .009
setline(2)
for x in -250:2:250
yn = noise(x * rate)
hue = rescale(yn, 0, 1, 0, 359)
sethue(LCHab(50, 100, hue))
ht = rescale(yn, 0, 1, 10, 100)
line(Point(x, -ht/2), Point(x, ht/2), :stroke)
end
end 600 200 "images/noise/colorbars.svg"
You can use noisy values to specify other changing parameters. For example, let's place some pebbles at random, and control their size using a noisy distribution, to give the illusion of a naturally changing distribution.
function drawpebble(pt, radius)
sethue("grey60")
@layer begin
transform([rand(0.5:0.1:1) 0 0 rand(0.5:0.1:1) 0 0])
circle(pt, radius, :fill)
for i in 1:-0.02:0.2
sethue(rescale(i, 1, 0, 0.5 + rand(0:0.1:0.3), 1.0),
rescale(i, 1, 0.1, 0.4 + rand(0:0.1:0.5), 1.0),
rescale(i, 1, 0.3, 0.5, 1.0))
setopacity(1 - i)
circle(pt + (-2i, -2i), i * radius, :fill)
end
end
end
@png begin
# switch to PNG, SVG can't handle this
background("palegoldenrod")
pebblesize = 12
for i in 1:6000
pt = Point(rand(-400:400), rand(-200:200))
n = noise(pt.x * 0.002)
drawpebble(pt, pebblesize * n)
end
end 800 400 "images/noise/pebbles.png"
The noise()
function has two optional keyword arguments that let you tweak the knobs of the noise generator.
The first is detail
, an integer. Increasing it from the default value of 1 upwards will add finer detail to the basic noise. The second is persistence
, a floating-point value between 0 and 1 (or more).
detail
is graphed here with values from 1 to 12. As the level increases, you can see that the same overall noise contours are gradually modulated with finer variations.
function detailgraph()
@svg begin
margin=30
translate(BoundingBox()[1] + (margin, 0))
setline(.5)
sethue("black")
stopat = 2
r = range(0, length=400, stop=stopat)
for detail in 1:2:12
translate(0, 100)
sethue("red")
graph(noise.(r), style=:circle, endnumber=stopat)
sethue("black")
text("detail = $detail, persistence = 0.9", Point(200, 15))
graph(noise.(r, detail=detail, persistence=0.9), endnumber=stopat)
end
end 800 650 "images/noise/detail-graph.svg"
end
detailgraph()
You can see the original noisy curve (in red) behind each more detailed graph. The noise generator is doubling the frequency but halving the amplitude every time you go one level higher. Noise, like music, can have octaves of higher frequencies mixed with lower fundamental frequency. The detail
keyword is adding one or more octaves of noise.
The persistence
argument defaults to zero. The value controls the amplitude of each successive octave of noise, with higher values of persistence producing higher levels of finer detail, as the values persist for longer.
function persistencegraph()
@svg begin
setline(.5)
sethue("black")
margin=30
translate(BoundingBox()[1] + (margin, 0))
stopat = 10
r = range(0, length=400, stop=stopat)
for p in 0:0.25:2
translate(0, 70)
sethue("red")
graph(noise.(r, detail=4, persistence=0),
endnumber=stopat, style=:circle)
sethue("black")
text("detail = 4, persistence = $p", Point(200, 15))
graph(noise.(r, detail=4, persistence=p),
endnumber=stopat)
end
end 800 675 "images/noise/persistence-graph.svg"
end
persistencegraph()
Here, the detail is kept at 4, and the persistence varies from 0 upwards. As the persistence increases, the effects accumulate, until the original curve is barely visible.
There are many uses for noisy input, such as generating varying shapes that don't have that undesirable 'too random' quality.
using ColorSchemes
function treerings()
@svg begin
nrate = 0.01
npoints= 500
nrings = 400
rad = 20
setline(0.5)
for ring in nrings:-5:1
pts = Point[]
for i in 1:npoints
push!(pts, polar(rad + (ring * noise(i * nrate)),
rescale(i, 1, npoints, 0, 2pi)))
end
sethue(get(ColorSchemes.sienna, noise(ring * 5nrate)))
poly(pts, :fill, close=false)
sethue("black")
poly(pts, :stroke, close=false)
end
end 800 800 "images/noise/treerings.svg"
end
treerings()
Here's a more questionable idea, using noise to control the setting of a line of text.
function drawtextline(t, point, fsize; rate=0.1)
for (n, c) in enumerate(split(t, ""))
f = fsize * noise(n * rate, persistence=0, detail=4)
fontsize(f)
te = textextents(c)
text(c, point)
point = Point(point.x + te[5] * 0.98, 0) ## tightness is tight
move(point)
end
end
@png begin
fontface("Bodoni")
drawtextline("variablefontsizetextsettingiscool,orisit?",
O - (380, 0), 50, rate=.11)
end 800 120 "images/noise/text-setting.png"
I then used the readpng()
and placeimage()
functions to add a background image (the original Tenniel illustration), with the following result:
The first use of computer graphics in movies is generally considered to be Tron (1981).
Tron lies at the very beginning of the history of CGI in the movies, and the technology available to the artists, mathematicians, and programmers making Tron was amazingly underpowered compared with the computing power that we have today on our wrists, let alone on our phones.
Ken Perlin was a mathematician and programmer who worked on Tron, and (I think after the film was released) he realised that there was room for using mathematical techniques for realistic-looking surfaces and textures, such as terrain.
Ken's noise, or Perlin Noise as it became known, was quickly adodpted as the best way to generate naturalistic surfaces.
I think the reason why natural scenes appear to us as variable but not completely random is due to the (possibly hidden) larger scale processes that make smaller and more visible details clump together, and appear to work together and change gradually. For example, clouds, mountains, and pebble beaches have large scale structure controlled by unseen forces like heat, pressure, and gravity. We mostly see the objects that are subject to these forces, rather than the forces themselves.
So far the noise we've been producing has been one-dimensional, although we've been using 2D graphics to draw it.
The noise()
function can accept two floating-point numbers as input. These effectively define a rectangular grid of varying noise values: the x and y inputs produce a third value which requires representation.
A simple way of doing this is to draw a table and vary the color of each square, giving a type of heat map.
using ColorSchemes
@svg begin
nrows = 40
ncols = 40
cellwidth = 15
cellheight = 15
table = Table(nrows, ncols, cellwidth, cellheight)
rate = 0.1
fontsize(5)
for row in 1:nrows
for col in 1:ncols
zvalue = noise(row * rate, col * rate)
sethue(get(ColorSchemes.temperaturemap, zvalue))
box(table[row, col], table.colwidths[1], table.rowheights[1], :fill)
sethue("black")
text(string(round(zvalue, digits=1)), table[row, col], halign=:center, valign=:middle)
end
end
end 800 700 "images/noise/table.svg"
Alternatively, we can create a 3D surface and use the noise values for the height at each point. Normally this would require a visit to Julia's colorful and generally awesome Swedish-nightclub-themed Package manager, Pkg:
to download some of the cool plotting packages available, not least Simon Danisch's impressive Makie.jl.
But, just to be contrary, I decided to whip up a simple isometric projection:
function project(x, y, z;
scalingfactor = 3, heightmultiplier = -1)
# negative because y is positive downwards!
u = (x - y)/sqrt(2)
v = (x + 2(heightmultiplier * z) + y)/sqrt(6)
return Point(scalingfactor * u, scalingfactor * v)
end
project(t; kwargs...) = project(t[1], t[2], t[3]; kwargs...)
function generatenoisearray(sx=100, sy=100;
rate=0.5,
detail=1,
persistence=0)
a = Array{Float64}(undef, sx, sy)
for x in 1:sx
for y in 1:sy
a[x, y] = noise(x * rate, y * rate,
detail=detail, persistence=persistence)
end
end
return a
end
function isograph(a)
@svg begin
background("grey30")
translate(0, -300)
setline(0.5)
sx, sy = size(a)
scalingfactor = 5
heightmultiplier = -6
for x in 1:sx-1
newpath()
move(project(x, sy, -10,
scalingfactor = scalingfactor,
heightmultiplier = heightmultiplier))
for y in sy-1:-1:1
toppolygon = project.([
(x, y, a[x, y]),
(x + 1, y, a[x + 1, y]),
(x + 1, y + 1, a[x + 1, y + 1]),
(x, y + 1, a[x, y + 1])],
scalingfactor = scalingfactor,
heightmultiplier = heightmultiplier)
centroid = polycentroid(toppolygon)
line(centroid)
end
line(project(x, 1, -10,
scalingfactor = scalingfactor,
heightmultiplier = heightmultiplier))
sethue("grey20")
fillpreserve()
sethue("grey85")
strokepath()
end
end 800 700 "images/noise/isograph.svg"
end
isograph(generatenoisearray(80, 80, rate=0.08))
(This image reminds me of the famous Joy Division LP cover and T-shirt image, which features plots of the first ever pulsar discovered by Jocelyn Bell Burnell and Antony Hewish in 1967. This then became the basis of many entertaining blog posts, such as this one.)
A more conventional surface rendering is also possible:
function isograph(a)
@png begin
background("grey20")
translate(0, -200)
setline(0.5)
sx, sy = size(a)
for x in 1:sx-1
for y in sy-1:-1:1
toppolygon = project.([
(x, y, a[x, y]),
(x + 1, y, a[x + 1, y]),
(x + 1, y + 1, a[x + 1, y + 1]),
(x, y + 1, a[x, y + 1])],
heightmultiplier=-10,
scalingfactor=5)
sethue("black")
poly(toppolygon, close=true, :stroke)
sethue(get(ColorSchemes.inferno, a[x, y]))
poly(toppolygon, close=true, :fill)
end
end
end 800 500 "images/noise/isosurface-2.png"
end
isograph(generatenoisearray(100, 100, rate=0.08))
So far we've been generating 2D noise. The noise()
function can also accept three floating-point numbers as input. This produces noise values in 3D space, where each 3D point can have a noise value between 0 and 1. Rendering these point clouds is definitely a job for something other than a simple 2D graphics system. But, while we're here, let's have a go:
function buildarray(a::AbstractArray; rate=20)
sx, sy, sz = size(a)
for x in 1:sx
for y in 1:sy
for z in 1:sz
a[x, y, z] = noise(x * rate, y * rate, z * rate)
end
end
end
return a
end
function iso3d(a)
background("grey20")
sethue("gray80")
setline(0.15)
rule.([Point(0, y) for y in -400:10:400])
sx, sy, sz = size(a)
for x in 1:sx
for y in 1:sy
for z in 1:sz
noisevalue = a[x, y, z]
sethue(get(ColorSchemes.plasma, noisevalue))
pt = project(x, y, z, scalingfactor=8)
setopacity(noisevalue)
circle(pt, rescale(noisevalue, 0, 1, 0.05, 6), :fill)
end
end
end
end
const A = Array{Float64, 3}(undef, 50, 50, 50)
@png begin
iso3d(buildarray(A, rate=0.05))
end 800 800 "images/noise/isosolid.png"
The noise values nearer 1 look like hot plasma, whereas values nearer 0 are almost translucent. It suggests what you might expect to see from a real volume visualization tool.
The final images in this post combine 2D noise and 1D noise; 2D noise for the sky, and 1D noise to create the contours.
There's an initnoise()
function. This is broadly the equivalent of the Random.seed!()
function in Julia. This is useful when you want the noise to vary from image to image.
function layer(leftminheight, rightminheight, noiserate;
detail=1, persistence=0)
c1, c2, c3, c4 = box(BoundingBox(), vertices=true)
ip1 = between(c1, c2, leftminheight)
ip2 = between(c4, c3, rightminheight)
topedge = Point[]
initnoise(rand(1:12))
for x in ip1.x:2:ip2.x
ypos = between(ip1, ip2, rescale(x, ip1.x, ip2.x, 0, 1)).y
ypos *= noise(x/noiserate, detail=detail, persistence=persistence)
push!(topedge, Point(x, ypos))
end
p = [c1, topedge..., c4]
poly(p, :fill, close=true)
end
function clouds()
tiles = Tiler(boxwidth(BoundingBox()),
boxheight(BoundingBox()),
800, 800, margin=0)
@layer begin
transform([3 0 0 1 0 0])
setopacity(0.3)
noiserate = 0.03
for (pos, n) in tiles
nv = noise(pos.x * noiserate,
pos.y * noiserate,
detail=4, persistence=.4)
setgray(nv)
box(pos, tiles.tilewidth, tiles.tileheight, :fill)
end
end
end
function colorblend(fromcolor, tocolor, n=0.5)
f = clamp(n, 0, 1)
nc1 = convert(RGBA, fromcolor)
nc2 = convert(RGBA, tocolor)
from📕, from📗, from📘, from💡 =
convert.(Float64, (nc1.r, nc1.g, nc1.b, nc1.alpha))
to📕, to📗, to📘, to💡 =
convert.(Float64, (nc2.r, nc2.g, nc2.b, nc1.alpha))
new📕 = (f * (to📕 - from📕)) + from📕
new📗 = (f * (to📗 - from📗)) + from📗
new📘 = (f * (to📘 - from📘)) + from📘
new💡 = (f * (to💡 - from💡)) + from💡
return RGBA(new📕, new📗, new📘, new💡)
end
function landscape(scheme, filename)
Drawing(800, 300, "$(filename).png")
origin()
# sky is gradient mesh
bb = BoundingBox()
mesh1 = mesh(box(bb, vertices=true), [
get(scheme, rand()),
get(scheme, rand()),
get(scheme, rand()),
get(scheme, rand())
])
setmesh(mesh1)
box(bb, :fill)
# clouds are 2D noise
clouds()
# the sun is a disk placed at random
@layer begin
setopacity(0.25)
sethue(get(scheme, .95))
sunposition = boxtop(bb) +
(rand(-boxwidth(bb)/3:boxwidth(bb)/3), boxheight(bb)/10)
circle(sunposition, boxdiagonal(bb)/30, :fill)
end
setopacity(0.8)
# how many layers
len = 6
noiselevels = range(100, length=len, stop=10)
detaillevels = 1:len
persistencelevels = range(0.5, length=len, stop=0.95 )
for (n, i) in enumerate(range(1, length=len, stop=0))
# avoid extremes of range
sethue(colorblend(get(scheme, .05), get(scheme, .95), i))
layer(i - rand()/2, i - rand()/2,
noiselevels[n], detail=detaillevels[n],
persistence=persistencelevels[n])
end
finish()
preview()
end
landscape(ColorSchemes.leonardo, "images/noise/landscape-leonardo")
landscape(ColorSchemes.starrynight, "images/noise/landscapes-starrynight")
I generated a few hundred of these (there are over 300 colorschemes that can be selected at random) and, scrolling through them quickly, I found that sometimes the results were good, sometimes they weren't. Randomness—and noise—can be hard to predict.
[2018-10-16]
This page was generated using Literate.jl.


In this work, we link stylized emission scenarios that reflect the Paris Agreement goals to sea-level rise in the year 2300. Our results indicate that sea-level rise will continue until and beyond 2300 even for scenarios that reach net-zero GHG emissions in the second half of the 21st century. The long-term sea-level legacy under the Paris Agreement scenarios are strongly influenced by emission reductions in the next couple of decades because offsetting sea-level rise in the 22nd and 23rd centuries is hindered by its high inertia, low reversibility and the limited effect of net-zero GHG emissions. By combining climate and sea-level uncertainties, our analysis reveals a persistent risk of high sea-level rise even under pathways in line with the Paris Agreement. However, extreme sea-level rise projections at the 95th percentile of our distribution can be halved through early and stringent emission reductions.
In our scenario set, we vary fossil-fuel and industry CO 2 emissions to create scenarios with different characteristics. Climate forcers other than CO 2 are co-emitted when fossil fuel is burned 26. We do not vary co-emissions in our scenarios as the difference through changes in co-emissions is limited given the stringency of each of our scenarios 26. For the achievement of net-zero GHG emissions levels, residual non-CO 2 emissions are balanced by negative CO 2 emissions. Variations in these residual non-CO 2 GHGs could result in higher or lower rates of temperature decline after peak warming.
A model that makes the sea-level assessment feasible for multiple emission scenarios needs to rely on simplified representations of the underlying processes. This comes with a number of caveats. Our methodology largely builds on the link between sea-level response and global-mean temperature increase. It cannot be ruled out that such link is weak for some components or will get weaker in the future. We have accounted for the potential of self-sustained ice loss that becomes independent of global-mean temperature change in our parametrization for the Antarctic ice sheet (Methods section).
For the Greenland ice sheet, potential self-sustained dynamics are not included in our parametrization though feedbacks exist 27, 28 and their future role for Greenland ice loss is not fully clear. The melt-elevation feedback—lower elevation leads to increased melt, which lowers elevation—can lead to threshold behavior and long-term decay of the ice sheet, but it would evolve slowly under the levels of warming assessed here 27. The melt-albedo feedback 28—melting exposes darker ice, which absorbs more heat and increases melt—is not yet incorporated fully in process-based simulations. It is also not explicitly modeled in our approach and enters only indirectly through the calibration to recent observations of high-surface melting. Anomalous atmospheric conditions are proposed as the main cause for this recent high melting 29, 30. This makes it less probable that future ice loss is dominated by the melt-albedo feedback. Our Greenland solid ice discharge parametrization does not account for ice flow instability. The potential for large-scale self-accelerating marine-ice-sheet-instability-driven ice loss like in Antarctica is limited in Greenland as it does not have large marine ice basins that are open to the ocean 31. Warmer ocean temperatures will still affect ice loss, which is covered in our approach. Our estimate of Greenland’s solid ice discharge is above the range of ice-sheet model simulations, but these simulations do not fully resolve outlet glaciers dynamics and do not fully reflect the observed continuing solid ice discharge 20. Nevertheless, the absence of feedbacks in the Greenland mass balance representation of our approach is a caveat and we cannot rule out that such feedbacks add to the presented numbers here. Changes in land water storage 32, 33 are not covered in our method as they are not directly linked to climate change. More details are given in Methods section.
Some earth-system response features associated with falling global temperatures in net-zero GHG scenarios may not be captured correctly by the reduced-complexity model MAGICC. In particular, the hemispheric upwelling-diffusion ocean model may not comprehensively simulate the ocean response to sustained atmospheric cooling 34. However, sea-level rise from ocean warming is calculated by the sea-level model and not directly by MAGICC in our approach.
Due to the slow response to climate warming, sea level will continue to rise after temperatures have stabilized. Positive rates of sea-level rise will likely persist through 2300 even under net-zero GHG emissions and decreasing global-mean temperatures. Stabilizing global-mean temperature rise or achieving net-zero CO 2 emissions can only be seen as a first step to halt global sea-level rise. Early peaking and stringent emissions reductions thereafter are vital and important to reduce the risk of low-probability high-end sea-level rise, yet insufficient to stop global sea-level rise by 2300. Delayed near-term mitigation action in the next decades will leave a substantial legacy for long-term sea-level rise.


University of California, San Diego
BS in Computer Science, March 2018
<EMAIL_ADDRESS>+1<PHONE_NUMBER>
9155 Judicial Dr
I am a student at UCSD, majoring in Computer Science and minoring in Mathematics. I am passionate about research that can benefit people's welfare. Currently, I am working as a research project assistant at Qualcomm Institute. Our project team is focusing on using computer vision to predict people's fall risk based on their gait speed, sit-stand cycle time and ability to keep balance. I am really interested in Machine Learning and have been spending my spare time learning machine learning algorithms. I am also an experienced android developer who have built several projects.
Relevant Coursework
CSE 100: Advanced Data Structures
CSE 101: Design and Analysis of Algorithm
CSE 110: Software Engineering
CSE 141: Intro/Computer Architecture
CSE 166: Image Processing
CSE 190: Neural Networks
MATH 102: Applied Linear Algebra
MATH 171A: Intro Num Optimiz/Linear Prog
MATH 171B: Intro Num Optimiz/Nonlinear
My GPA is 3.86/4.00. I have earnt 15 A+ in the courses taken and Provost's Honor every quarter.
This is a research project I have been working on starting May. 2016. The goal of the project is to use computer vision as a tool to realize an automation process which can quantitatively measure one's gait speed, sit-stand cycle time and balance ability; those elements are crucial to predict a senior's risk to fall.
This is an Android Application I built with 5 partners. Through CoupleTone users can login with your google accounts and add their friends as partner. Also, one can add their favorite locations in the app to notify their partners when they visit that location. User can also customize the tones based on their preferences.
Skills: java, Android Studio, JUnit, JIRA, Google Service API
I implemented the popular game 2048 as a personal practice in java on PC platform. User is able to play the game just like the original version. Additionally, the size of the board can be specified by the user to make the game even more chanllenging
This is an Android Application I built on my own. It is based on a Zebra barcode scanning mobile product MC36 which can be used to accomplish the task of product management. Using the litepal database package, I was able to build this prototype for recording the stock in and out process.
Skills: java, Android Studio, Litepal, Zebra mobile API
This is an IEEE desgin competition design. Our goal is to build a automatic robot car which can trace the white line on the ground. My main task is to design the algorithm for it to accomplish the task as soon as possible
Skills: c\c++, 3D printing, circuit design, arduino
This is a start-up company and website I've built with some partners. The website is designed to be an online retailing store to sell Chinese snacks in USA. In the end, we sold the company to our major competitor: yami.com. GoPinv.com
Skills: HTML, CSS, javaScript, negotiation and communication, leadership
Arduino Robot Goalkeeper
This is an automatic robot car which can play the role of a goal keeper in a soccer. With a sonor sensor, it can rotate its head to see if there is ball incoming and when it detects the ball coming, it will move forward to clear the ball out. I programmed the arduino robot in C to make it accomplish such goal.


Les Raisins
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--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/reduce.20bool.20variable.html ---
If I have this:
variable b : bool #reduce b && tt #reduce b && ff #reduce ff && b #reduce tt && b
I get back
b && tt b && ff ff tt && b
my question is why does b && ff
not reduce to ff
and why does tt && b
not reduce to b
? Thanks!
The reason is that band
(the name for &&
) was defined as follows:
def band : bool → bool → bool | ff _ := ff | tt ff := ff | tt tt := tt
If we would have defined it as follows
def my_band : bool → bool → bool | ff _ := ff | tt b := b variable b : bool #reduce my_band b tt #reduce my_band b ff #reduce my_band ff b #reduce my_band tt b
then, as you can see tt && b
would reduce to b
.
I don't think that there is a way to define &&
so that both ff && b
and b && ff
will reduce to ff
: it will have to decide which side it will evaluate first.
No doubt you can apply a theorem in the library to get from tt && b
to tt
, but #reduce
doesn't do that.
Last updated: Apr 24 2020 at 19:02 UTC


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BaseXLearner
(learner
=None
, control_outcome_learner
=None
, treatment_outcome_learner
=None
, control_effect_learner
=None
, treatment_effect_learner
=None
, ate_alpha
=0.05
, control_name
=0
) :: BaseLearner
A parent class for X-learner regressor classes.
An X-learner estimates treatment effects with four machine learning models.
Details of X-learner are available at Kunzel et al. (2018) (https://arxiv.org/abs/1706.03461).


|
Drake
|
This class is used to represent physical quantities that correspond to spatial vectors such as spatial velocities, spatial accelerations and spatial forces.
Spatial vectors are 6-element quantities that are pairs of ordinary 3-vectors. Elements 0-2 are always the rotational component while elements 3-5 are always the translational component. For a more detailed introduction on spatial vectors please refer to section Spatial Vectors.
| SV | The type of the more specialized spatial vector class. It must be a template on the scalar type T. |
| T | The scalar type, which must be one of the default scalars. |
#include <drake/multibody/math/spatial_vector.h>
Public Types | |
| enum | { kSpatialVectorSize = 6, kRotationSize = 3, kTranslationSize = 3 } |
| Sizes for spatial quantities and its components in three dimensions. More... | |
| using | SpatialQuantity = SV< T > |
| The more specialized spatial vector class templated on the scalar type T. More... | |
| typedef Vector6< T > | CoeffsEigenType |
| The type of the underlying in-memory representation using an Eigen vector. More... | |
| typedef T | ScalarType |
Public Member Functions | |
| SpatialVector () | |
| Default constructor. More... | |
| SpatialVector (const Eigen::Ref< const Vector3< T >> &w, const Eigen::Ref< const Vector3< T >> &v) | |
SpatialVector constructor from an rotational component w and a linear component v . More... | |
| template<typename OtherDerived > | |
| SpatialVector (const Eigen::MatrixBase< OtherDerived > &V) | |
| SpatialVector constructor from an Eigen expression that represents a six-dimensional vector. More... | |
| int | size () const |
| The total size of the concatenation of the angular and linear components. More... | |
| const T & | operator[] (int i) const |
| Const access to the i-th component of this spatial vector. More... | |
| T & | operator[] (int i) |
| Mutable access to the i-th component of this spatial vector. More... | |
| const Vector3< T > & | rotational () const |
| Const access to the rotational component of this spatial vector. More... | |
| Vector3< T > & | rotational () |
| Mutable access to the rotational component of this spatial vector. More... | |
| const Vector3< T > & | translational () const |
| Const access to the translational component of this spatial vector. More... | |
| Vector3< T > & | translational () |
| Mutable access to the translational component of this spatial vector. More... | |
| const T * | data () const |
| Returns a (const) bare pointer to the underlying data. More... | |
| T * | mutable_data () |
| Returns a (mutable) bare pointer to the underlying data. More... | |
| std::tuple< const T, const T > | GetMaximumAbsoluteDifferences (const SpatialQuantity &other) const |
Returns the maximum absolute values of the differences in the rotational and translational components of this and other (i.e., the infinity norms of the difference in rotational and translational components). More... | |
| decltype(T()< T()) | IsNearlyEqualWithinAbsoluteTolerance (const SpatialQuantity &other, double rotational_tolerance, double translational_tolerance) const |
Compares the rotational and translational parts of this and other to check if they are the same to within specified absolute differences. More... | |
| decltype(T()< T()) | IsApprox (const SpatialQuantity &other, double tolerance=std::numeric_limits< double >::epsilon()) const |
Compares this spatial vector to the provided spatial vector other within a specified tolerance. More... | |
| void | SetNaN () |
Sets all entries in this SpatialVector to NaN. More... | |
| SpatialQuantity & | SetZero () |
Sets both rotational and translational components of this SpatialVector to zero. More... | |
| CoeffsEigenType & | get_coeffs () |
| Returns a reference to the underlying storage. More... | |
| const CoeffsEigenType & | get_coeffs () const |
| Returns a constant reference to the underlying storage. More... | |
| SpatialQuantity | operator- () const |
| Unary minus operator. More... | |
| SpatialQuantity & | operator+= (const SpatialQuantity &V) |
| Addition assignment operator. More... | |
| SpatialQuantity & | operator-= (const SpatialQuantity &V) |
| Subtraction assignment operator. More... | |
| SpatialQuantity & | operator *= (const T &s) |
| Multiplication assignment operator. More... | |
Implements CopyConstructible, CopyAssignable, MoveConstructible, MoveAssignable | |
| SpatialVector (const SpatialVector &)=default | |
| SpatialVector & | operator= (const SpatialVector &)=default |
| SpatialVector (SpatialVector &&)=default | |
| SpatialVector & | operator= (SpatialVector &&)=default |
Static Public Member Functions | |
| static SpatialQuantity | Zero () |
| Factory to create a zero SpatialVector, i.e. More... | |
Friends | |
| SpatialQuantity | operator+ (const SpatialQuantity &V1, const SpatialQuantity &V2) |
| (Advanced) Addition operator. More... | |
| SpatialQuantity | operator- (const SpatialQuantity &V1, const SpatialQuantity &V2) |
| (Advanced) Subtraction operator. More... | |
| SpatialQuantity | operator * (const math::RotationMatrix< T > &R_FE, const SpatialQuantity &V_E) |
This operation re-expresses the spatial vector V_E originally expressed in frame E, into V_F , the same spatial vector expresed in another frame F. More... | |
Related Functions | |
(Note that these are not member functions.) | |
| SpatialQuantity | operator * (const T &s, const SpatialQuantity &V) |
Multiplication of a spatial vector V from the left by a scalar s . More... | |
| SpatialQuantity | operator * (const SpatialQuantity &V, const T &s) |
Multiplication of a spatial vector V from the right by a scalar s . More... | |
| template<template< typename > class SpatialQuantity, typename T > | |
| std::ostream & | operator<< (std::ostream &o, const SpatialVector< SpatialQuantity, T > &V) |
Stream insertion operator to write SpatialVector objects into a std::ostream . More... | |
| typedef Vector6<T> CoeffsEigenType |
The type of the underlying in-memory representation using an Eigen vector.
| typedef T ScalarType |
| using SpatialQuantity = SV<T> |
The more specialized spatial vector class templated on the scalar type T.
| anonymous enum |
|
default |
|
default |
| SpatialVector | ( | ) |
Default constructor.
In Release builds the elements of the newly constructed spatial vector are left uninitialized resulting in a zero cost operation. However in Debug builds those entries are set to NaN so that operations using this uninitialized spatial vector fail fast, allowing fast bug detection.
| SpatialVector | ( | const Eigen::Ref< const Vector3< T >> & | w, |
| const Eigen::Ref< const Vector3< T >> & | v | ||
| ) |
SpatialVector constructor from an rotational component w
and a linear component v
.
|
explicit |
SpatialVector constructor from an Eigen expression that represents a six-dimensional vector.
This constructor will assert the size of V is six (6) at compile-time for fixed sized Eigen expressions and at run-time for dynamic sized Eigen expressions.
| const T* data | ( | ) | const |
Returns a (const) bare pointer to the underlying data.
It is guaranteed that there will be six (6) T's densely packed at data[0], data[1], etc.
| CoeffsEigenType& get_coeffs | ( | ) |
Returns a reference to the underlying storage.
| const CoeffsEigenType& get_coeffs | ( | ) | const |
Returns a constant reference to the underlying storage.
| std::tuple<const T, const T> GetMaximumAbsoluteDifferences | ( | const SpatialQuantity & | other | ) | const |
Returns the maximum absolute values of the differences in the rotational and translational components of this
and other
(i.e., the infinity norms of the difference in rotational and translational components).
These quantities are returned in a tuple, in the order below.
| std::tuple | Description |
|---|---|
| w_max_difference | Maximum absolute difference in rotation components |
| v_max_difference | Maximum absolute difference in translation components |
| decltype(T() < T()) IsApprox | ( | const SpatialQuantity & | other, |
| double | tolerance = std::numeric_limits<double>::epsilon() |
||
| ) | const |
Compares this
spatial vector to the provided spatial vector other
within a specified tolerance.
Mathematically, if this
is the spatial vector U and other
is the spatial vector V, then this method returns true
if ‖U-V‖∞ < ε
and false
otherwise.
| decltype(T() < T()) IsNearlyEqualWithinAbsoluteTolerance | ( | const SpatialQuantity & | other, |
| double | rotational_tolerance, | ||
| double | translational_tolerance | ||
| ) | const |
Compares the rotational and translational parts of this
and other
to check if they are the same to within specified absolute differences.
| [in] | rotational_tolerance | maximum allowable absolute difference between the rotational parts of this and other . The units depend on the underlying class. For example, spatial velocity, acceleration, and force have units of rad/sec, rad/sec^2, and N*m, respectively. |
| [in] | translational_tolerance | maximum allowable absolute difference between the translational parts of this and other . The units depend on the underlying class. For example, spatial velocity, acceleration, and force have units of meter/sec, meter/sec^2, and Newton, respectively. |
true
if the rotational part of this
and other
are equal within rotational_tolerance
and the translational part of this
and other
are equal within translational_tolerance
. | T* mutable_data | ( | ) |
Returns a (mutable) bare pointer to the underlying data.
It is guaranteed that there will be six (6) T's densely packed at data[0], data[1], etc.
| SpatialQuantity& operator *= | ( | const T & | s | ) |
Multiplication assignment operator.
| SpatialQuantity& operator+= | ( | const SpatialQuantity & | V | ) |
Addition assignment operator.
| SpatialQuantity operator- | ( | ) | const |
Unary minus operator.
| SpatialQuantity& operator-= | ( | const SpatialQuantity & | V | ) |
Subtraction assignment operator.
|
default |
|
default |
| const T& operator[] | ( | int | i | ) | const |
Const access to the i-th component of this spatial vector.
Bounds are only checked in Debug builds for a zero overhead implementation in Release builds.
| T& operator[] | ( | int | i | ) |
Mutable access to the i-th component of this spatial vector.
Bounds are only checked in Debug builds for a zero overhead implementation in Release builds.
| const Vector3<T>& rotational | ( | ) | const |
Const access to the rotational component of this spatial vector.
| Vector3<T>& rotational | ( | ) |
Mutable access to the rotational component of this spatial vector.
| void SetNaN | ( | ) |
Sets all entries in this
SpatialVector to NaN.
Typically used to quickly detect uninitialized values since NaN will trigger a chain of invalid computations that can then be tracked back to the source.
| SpatialQuantity& SetZero | ( | ) |
Sets both rotational and translational components of this
SpatialVector to zero.
| int size | ( | ) | const |
The total size of the concatenation of the angular and linear components.
In three dimensions this is six (6) and it is known at compile time.
| const Vector3<T>& translational | ( | ) | const |
Const access to the translational component of this spatial vector.
| Vector3<T>& translational | ( | ) |
Mutable access to the translational component of this spatial vector.
|
static |
Factory to create a zero SpatialVector, i.e.
rotational and translational components are both zero.
|
friend |
Multiplication of a spatial vector V from the left by a scalar s
.
|
friend |
Multiplication of a spatial vector V from the right by a scalar s
.
|
friend |
This operation re-expresses the spatial vector V_E
originally expressed in frame E, into V_F
, the same spatial vector expresed in another frame F.
The transformation requires the rotation matrix R_FE
representing the orientation of the original frame E with respect to frame F. The operation performed is:
V_F.rotational() = R_FE * V_E.rotational(), V_F.translational() = R_FE * V_E.translational()
|
friend |
(Advanced) Addition operator.
Implements the addition of V1 and V2 as elements in ℝ⁶.
|
friend |
(Advanced) Subtraction operator.
Implements the subtraction of V1 and V2 as elements in ℝ⁶.
|
related |
Stream insertion operator to write SpatialVector objects into a std::ostream
.
Especially useful for debugging.


Member History for {{ member }}
| Date & Time | Status | Work Status | Joined | Departed | Turns 18 | Equity Held | Equity Due | Equity Increment | Referral Source | |
|---|---|---|---|---|---|---|---|---|---|---|
| {{ revision.timestamp }} | {{ revision.status|member_status }} | {{ revision.work_status|work_status }} | {{ revision.date_joined }} | {{ revision.date_departed }} | {{ revision.date_turns_18 }} | {{ revision.equity_held }} | {{ revision.equity_due }} | {{ revision.equity_increment }} | {% if revision.referral_member %}{{ revision.referral_member }} | {% else %}{{ revision.referral_source }} | {% endif %}


Voter apathy and Catalan independence: Facts about Spanish election
by EuronewsThe challenge over Catalonia's independence has become a focal point of Spain's Sunday elections, with street clashes, burning cars, and smashed windows all serving to fuel a hardening stance against separatists among political parties.
One consequence is that it could be very difficult to form a government if no outright winner comes through — as is widely expected.
Acting Prime Minister Pedro Sanchez's Socialist party still leads in the opinion polls but are expected to fall well short of a majority, which means they will need to strike deals in order to stay in power.
But his tougher stance on Catalonia from the last few days will make a left-wing government alliance more complicated as potential ally Unidas Podemos sees opening a dialogue with the separatists as the only solution.
And clinching support from the Catalan separatist parliamentarians may be harder now than before.
But what are some other key elements shaping the next Spanish election?
Voter apathy
With four elections in the last four years, this election campaign of only eight days has been the shortest in history. The turnout is expected to drop considerably on Sunday.
Rise of the far-right
After the Barcelona riots, the last polls saw Vox go up to a third position, outperforming the liberals of Citizens and Unidas Podemos. It is projected to win 40-49 seats, possibly doubling its presence in parliament.
Vox "understands the values of all good Spanish people", Barcelona resident Juan Ignacio Izquierdo said at a party rally in the city. "Catalonia is Spain and the line is unbreakable."
As for the more moderate right, the People's Party has scored better than before but the centre-right Ciudadanos is collapsing due to internal fighting.
Polls predict that the elections will not hand the right-wing bloc a majority even though no possibility can be ruled out as the number of undecided voters remains high.
Not enough support for Más País
The new leftist party Más País could not get the required number of votes to enter Congress, according to the latest polls, even if it got a lot of media coverage in Spain.
All parties are well aware that voters do not want a fifth election, and they might have to strike a deal in the end.


{% extends 'base.html' %} {% import 'macros.html' as macro %} {% import 'bootstrap/wtf.html' as wtf %}
Love yourself first and everything else falls into line. You really have to love yourself to get anything done in this world.” “The real difficulty is to overcome how you think about yourself.


Runs map09-lib.js. This script imports baby pjs library and use it on a buttons tap action.
Run EC6.map for Uin32Array
Run EC6.map for Uin8Array
Run pjs.map for Uin32Array
Run pjs.map for Uin8Array


Smile artifacts are hosted in Sonatype Nexus. You can add the following dependency into your pom.xml:
<dependency>
<groupId>com.github.haifengl</groupId>
<artifactId>smile-core</artifactId>
<version>1.1.0</version>
</dependency>
If you're using SBT, add the following line into your build file:
libraryDependencies += "com.github.haifengl" % "smile-core" % "1.1.0"
You may notice that none of models supports Java Serializable interface. It is because the exact format is hard
to keep stable, class changes can easily make your serialized data unreadable, reading/writing the data in
non-Java code is almost impossible. Currently, we suggest XStream to serialize the trained models.
XStream is a simple library to serialize objects to XML and back again. XStream is easy to use and
doesn't require mappings (actually requires no modifications to objects). In Scala API, we also provide
the helper functions read
and
write
to serialize and deserialize a model (or any
object).
A nice alternative is Protostuff, which supports forward-backward compatibility (schema evolution) and validation. Beyond XML, Protostuff supports many other formats such as JSON, YAML, protobuf, etc.
For some predicitive models, we look forward to supporting PMML (Predictive Model Markup Language), an XML-based file format developed by the Data Mining Group.
Most Smile algorithms take simple double[]
as input. So you can use your favorite methods
or library to import the data as long as the samples are in double arrays. Meanwhile, Smile provides
a couple of parsers for popular data formats, such as Weka's ARFF files, LibSVM's file format,
delimited text files, and binary sparse data. These classes are in the package smile.data.parser
and smile.io
provides high level operators on top of these parsers. The package
smile.data.parser.microarray
also provides several parsers for microarray gene expression datasets,
including GCT, PCL, RES, and TXT files.


Finds the youngest person in a given array of persons and prints his/hers full name
Find youngest person


Press the button to get started
Click here to read more about this.
Total time to render liquid: -
Rendering back-end: -
File: -
Total Time: -
Code snippet:
Line: -


I earned a PhD in Computer Science from the University of Michigan. I worked with Professor Kang G. Shin and excellent people at the Real-Time Computing Lab in the CSE Department. My PhD research was at the intersection of user privacy, program analysis and natural language processing. I developed end-to-end automated systems and formal models that analyze the consistency between privacy policies and actual data collection of mobile and web apps. I previously worked on mobile systems and networking where I developed novel quality-of-service-guaranteed energy-efficient technologies for the Chrome web browser and real-time video streaming.


#include <beepsession.h>
Public Attributes | |
| srObjID | OID |
| object ID | |
| srRetVal | iLastErr |
| last error occured | |
| sbSockObject * | pSock |
| underlying socket | |
| sbChanObject * | pChan0 |
| the control channel | |
| sbNVTRObject * | pChannels |
| pointer to a name value list with the channels | |
| sbNVTRObject * | pRXQue |
| receive frame queue | |
| sbNVTRObject * | pRemoteProfiles |
| linked list of profiles supported by remote peer | |
| srRetVal(* | SendFramMethod )(struct sbSessObject *, struct sbFramObject *, struct sbChanObject *) |
| method to be used for sending the frame | |
| sbNVTRObject * | pProfilesSupported |
| the list of profiles supported at the time of session connection | |
| sbSessState | iState |
| this session's current status | |
| sbSessTXState | iTXState |
| session transmit status | |
| sbNVTRObject * | pSendQue |
| queue of data to be send | |
| sbFramObject * | pRecvFrame |
| frame currently being received | |
| int | bNeedData |
| TRUE = can NOT send, because data (SEQ frame) needs to arrive first. |
Implemented via beepsession::h and beepsession::c.
|
|
the control channel This is stored in a separate variable for performance reasons. It also has an entry in pChannels. |
|
|
linked list of profiles supported by remote peer Constructed based on greeting. |
|
|
method to be used for sending the frame Is different for client and server implementations |


You've made an offer to settle out of court
{% else %}You've made an offer to settle out of court
{% endif %}{% elif data['offeraccepted'] == 'true' %}
You’ve settled out of court
{% elif data['offeraccepted'] == 'false' %}
You’ve rejected the offer {% if data['makecounteroffer'] == 'true' %} and made your own offer {% endif %}
{% endif %} {% elif data['defendant'] == "defendant_signed" or data['type'] == 2 %}
You’ve settled out of court
23 December 2018
{% elif data['defendant'] == "offer" or data['defendant'] == "defendant" or data['type'] == 1 %}


This is program for show,hide,toggle
Sir, i am in a really bad financial state as i am unemployed now. I am searching for a job for last couple of months. My family is also expecting financial support from me. It is very common in our country Bangladesh that parents want their son to share financial burden upon completing bachelor degree. In this situation, i am not in a position to provide for my own study. I want to increase my skill in this unemployment period of life and to compete with the rest. This course attracted me a lot and hoping to learn many things from this course. Hopefully this course will help me to get a decent job to provide for myself as well as for my family. That's why, i am applying for financial aid. I have the intention to enroll for other courses with payment upon getting job.
Department
skill


I was recently visited by a good friend I went to university with. He’s still in the field of architecture, and it was the first time we’d seen each other since I’d given up on the industry in favor of entrepreneurship.
During his visit we talked a lot about the Architecture industry as a whole, our biggest problems with it, and why I ultimately decided it wasn’t what I wanted. I described moments at my job when I was working on designs for a high-end luxury apartment in the Lower East Side and thinking, “If I stay in this job, I will never be able to live like this.” Not that I dreamt of luxury penthouses and a $70,000 custom millwork closet (yes, this happened), but I did dream of financial freedom and travel, as well as working for myself.
As I mentioned in my previous post, when I was working at my job in architecture, I started a side project, Calm The Ham, which after 18 months of work was making decent money, especially compared to the $40,000 I was making at my job (which does not stretch far living in New York City). I was only able to work on Calm the Ham on weeknights and weekends, which slowly became harder and harder as I juggled this new life. In the 6 months prior to quitting my more stable job, I kept thinking what if I had the time and resources to make my newer venture full-time. What could I create if it was my only focus?
Then the negative thoughts would kick in. I don’t have an MBA. I never took a business studies class in high school. What do I know about running and growing a business?
I wasn’t about to quit my job, join an MBA program, and then start a business. I didn’t have the time, patience, or money for that.
I needed to learn the basic principles of business, both running and growing one. I made a reading list for myself of all the business books I had heard about from people I admired or that had been recommended to me personally. I spent $237.91 on 22 books, a hefty investment for me at the time and got reading.


currency
Bitcoin
Dollar
Euro
Lira
Rupee
Rouble
Yen
No data found !
Add an
account
to start or
open a file
:)
PayPal
:
-


| 1. | |
| Description: | Clicking lmb on canvas in different coordinates one time after another sometimes moves the canvas as if the canvas was dragged from previous click coordinate to following click location. |
| Note: | Not confirmed to be actually dependend on the code. Might just be a problem with the mouse or its interrupt management in system as similiar events sometimes happen even outside of the application. |
| Priority: | Medium |
| Replication: | Click at random places in canvas with Select tool selected. |
| 2. | |
| Description: | When draft gets too large in terms of metric size, canvas starts to break. |
| Priority: | Low |
| Replication: | Run Autorex -> enter bigger values in Width or Height properties for draft until grid parts will start disappearing. |
| 3. | |
| Description: | In Canvas_sizeChanged the check if the window has been initialised might be unnecessary if code was restructured. |
| Note: | Using an if block in Canvas_sizeChanged method would actually slow down (not even lightly but still) program after initialisation so it is better to have longer initialisation for more smooth operations during Autorex run. |
| Priority: | Very Low |
| 4. | |
| Description: | Sometimes after starting Autorex (in debug mode) and selecting the canvas to move it an error occurs in the line
if (margin.Left + mousePosition.X - prevPoint.Value.X > canvasContainer.ActualWidth / 2) { in private void Select(Point mousePosition) function Exception thrown: 'System.InvalidOperationException' in mscorlib.dll An unhandled exception of type 'System.InvalidOperationException' occurred in mscorlib.dll Additional information: Nullable object must have a value. for prevPoint value. |
| Priority: | High |
| 5. | |
| Description: | (collection[index] as Shape) is null in Utilities.cs at line 97 in function public static void ClearShapes(this UIElementCollection collection) Reproduction steps: created two ellipses, edited one's parameters, selected them ant hit delete on keyboard (this actually changed their width i think) then selecten new from menu file and clicked No button in the message rompting to save the draft. |
| Priority: | High |


Install truffle
Truffle is a development environment, testing framework and asset pipeline for blockchains.
npm install -g truffle
1. create a new folder,my folder name is token
mkdir token
2. Initialize a npm project.
npm init
These libraries will install not only the main libraries of our token but also libraries for ownership, safe math and many other facilities. It’s worth mentioning that these libraries have been reviewed to accomplish high standards of security so contracts that depend on them are less susceptible to hacking when used correctly.
Inside the folder, we import the libraries from OpenZeppelin with
npm install<EMAIL_ADDRESS>The version 1.12.0 is what we need;
3. Install truffle-hdwallet-provider.
To connect to RSK, we are going to modify the Truffle configuration. We are going to use a provider that allows us to connect to any network but unlocking an account locally. We are going to use truffle-hdwallet-provider.(Node >= 7.6)
npm install truffle-hdwallet-provider
4. Initialize a Truffle project.
truffle init
If you see the following result on the terminal, this step is successful:
✔ Preparing to download
✔ Downloading
✔ Cleaning up temporary files
✔ Setting up box
Unbox successful. Sweet!
Commands:
Compile: truffle compile
Migrate: truffle migrate
Test contracts: truffle test
Then you can see the file structure like this:
├── contracts │ └── Migrations.sol ├── migrations │ └── 1_initial_migration.js ├── test └── truffle-config.js
In my editor,it shows like this:
5. Create an RSK account
To create our wallet we are going to use this web app: https://iancoleman.io/bip39/. This may not be used for any ‘real’ wallet; it’s not a secure way to generate a private key! We are going to use it just for learning the basics.
- 5.1 Generate a random mnemonic:
- 5.1.1 In the ‘Generate a random mnemonic’ field, we select 12 words andgenerate it.
- 5.1.2 Then tap on ‘Generate’.
- 5.1.3 The result appears in the BIP39 Mnemonic field. They should be 12 random words like the words in the image:

5.2 Create an account:
var HDWalletProvider = require('truffle-hdwallet-provider')
var mnemonic = 'rocket fault regular ... YOUR MNEMONIC';// 12 key words we generated before
var publicNode = 'https://public-node.testnet.rsk.co:443';
module.exports = {
networks: {
testnet: {
provider: () =>
new HDWalletProvider(mnemonic, publicNode),
network_id: '*',
gas: 2500000,
gasPrice: 183000
}
},
compilers : {
solc: {
version: "0.5.0",
evmVersion: "byzantium"
}
}
}
truffle console --network testnet
truffle(testnet)>
What we are doing is telling truffle to connect to RSK public test node, and having control of your recently created account.
truffle(testnet)> var account = Object.keys(web3.currentProvider.wallets)[0]
undefined
truffle(testnet)> account
'0xf08f6c2eac2183dfc0a5910c58c186496f32498d'
This string in the last line is our address.
5.3 To get funds to use in this network.
We mentioned before that RSK TestNet is a free network. To get funds to use in this network, we are going to use a faucet. A faucet is commonly a site where you enter your address and it automatically sends you some testnet funds for testing. Let’s go to RSK Faucet: https://faucet.testnet.rsk.co.
Steps of usage:
truffle(testnet)> web3.eth.getBalance(account, (err, res) => console.log(res))
The string displayed on my terminal is the funds I got:
'999969677083000'
6. Create a simple Token
6.1.1 Create a file named ‘YourNewTokens.sol’
6.1.2 Write the codes below into the file we created reccently.
pragma solidity ^0.4.17;
import 'openzeppelin-solidity/contracts/token/ERC20/StandardToken.sol';
import "openzeppelin-solidity/contracts/ownership/Ownable.sol";
contract YourNewToken is StandardToken, Ownable {
string public name = 'CoinFabrik';
string public symbol = 'CF';
uint8 public decimals = 18;
uint public INITIAL_SUPPLY = 1000;
string Owner;
event Yes(string);
event No(string);
constructor() public {
totalSupply_ = INITIAL_SUPPLY * (10**uint(decimals));
balances[msg.sender] = totalSupply_;
}
function setON(string _n) public onlyOwner returns (bool) {
Owner = _n;
return true;
}
function getON() public view returns (string) {
return Owner;
}
function () public payable {
if (msg.value > 0) {
emit Yes('Thanks for donating RBTC! :)');
} else {
emit No('Error 404: Function not found :P');
}
}
function destroy() public onlyOwner {
selfdestruct(owner);
}
}
7. Let me explain the above code.
pragma solidity ^0.4.17;
import 'openzeppelin-solidity/contracts/token/ERC20/StandardToken.sol';
import "openzeppelin-solidity/contracts/ownership/Ownable.sol";
To create our ERC20 Token, we will import 2 libraries from that repository: the StandardToken.sol, which has the main functionality of a Token and already imports a bunch of libraries more by itself such as SafeMath.sol, and Ownable.sol. These allows us to set owner control over functions in contracts.
7.3 To inherit the libraries attributes and functions, we simply define our contract as a StandardToken and as Ownable using the “is” keyword in this way.
contract YourNewToken is StandardToken, Ownable { }
After that, we have all the functions from those libraries and from their imported upward libraries.
7.4 Next, we define the Token’s name as YourNewToken, its symbol, 18 decimals for the precision of the Token (the standard in Ethereum-like networks, giving us the possibility to use Ether conversion functions of web3) and the initial supply of tokens to 1000 like this:
string public name = 'YourNewToken';
string public symbol = 'YNT';
uint8 public decimals = 18;
uint public INITIAL_SUPPLY = 1000;
7.4 We are also going to create another string, a non-public variable not relevant to the Token functionality, to show the usage of the Ownable library properties, which allows only the creator to interact with some designated functions. We’ll see that later
string Owner;
7.5 With our parameters already defined, now it’s time to assign them to the Token variables through the constructor function. Up to now, the constructor function was defined as a function which had the same name as the contract, but from now on, there will be a function called “constructor()” already defined which will replace the older method. The Solidity compiler will warn you if you call the constructor like before.
constructor() public {
totalSupply_ = INITIAL_SUPPLY * (10**uint(decimals));
balances[msg.sender] = totalSupply_;
}
totalSupply_ = INITIAL_SUPPLY * (10**uint(decimals));
balances[msg.sender] = totalSupply_;
7.6 With this, we have a simple and standard Token ready to be used but, as we said, we are going to add some functionalities using the Ownable contract. First, we will define a couple of functions: one that modifies the state of our non-public variable, but only if you have owner permissions, and the other one, that returns the message of the string. The definitions are the following:
function setON(string _n) public onlyOwner returns (bool) {
Owner = _n;
return true;
}
function getON() public view returns (string) {
return Owner;
}
Both are public, so anyone can try to call them, but for the first one, only the owner’s address won’t cause a revert. If you are the owner and the function is called, the string is saved in our variable Owner (with capital letters) and it will also return a true value that we can check in the transaction.
Since the Owner variable isn’t public and doesn’t have a Getter, we need a function that returns the value of the variable without changing the state of the blockchain. This is the second function.
function () public payable {
if (msg.value > 0) {
emit Yes('Thanks for donating RBTC! :)');
} else {
emit No('Error 404: Function not found :P');
}
}
7.8 Finally, we add a destroyable capability to the contract in which the owner is the only one who can execute it.
function destroy() public onlyOwner {
selfdestruct(owner);
}
8. Creating the Migration
var YourNewToken = artifacts.require("./YourNewToken.sol");
module.exports = function(deployer) {
deployer.deploy(YourNewToken);
};
9.Deploy contract
truffle(testnet)> compile
```shell Compiling your contracts… ===========================
Compiling ./contracts/Migrations.sol Compiling ./contracts/YourNewTokens.sol Compiling openzeppelin-solidity/contracts/math/SafeMath.sol Compiling openzeppelin-solidity/contracts/ownership/Ownable.sol Compiling openzeppelin-solidity/contracts/token/ERC20/BasicToken.sol Compiling openzeppelin-solidity/contracts/token/ERC20/ERC20.sol Compiling openzeppelin-solidity/contracts/token/ERC20/ERC20Basic.sol Compiling openzeppelin-solidity/contracts/token/ERC20/StandardToken.sol Artifacts written to /Users/huangxu/Project/RIL-DOCS/Smart Contract/build/contracts Compiled successfully using:
9.2 Then we migrate our contract with
truffle(testnet)> migrate --reset
Using network 'testnet'.
Running migration: 1_initial_migration.js
Deploying Migrations...
... 0xf00d4ecf2b5752022384f7609fe991aa72dda00a0167a974e8c69864844ae270
Migrations: 0x1dc2550023bc8858a7e5521292356a3d42cdcbe9
Saving successful migration to network...
... 0x3e759e8ff8a7b8e47a441481fa5573ccf502b83f3d591ad3047e622af0f9169e
Saving artifacts...
Running migration: 2_deploy_token.js
Deploying YourNewToken...
... 0x300c8bb1e434e2aa4b13dcc76087d42fcbe0cb953989ca53a336c59298716433
YourNewToken: 0xc341678c01bcffa4f7362b2fceb23fbfd33373ea
Saving successful migration to network...
... 0x71771f7ee5d4e251e386979122bdda8728fa519d95a054572751bb10d40eb8c5
Saving artifacts...
truffle(testnet)> migrate --all --reset
The migration contract will be deployed first. Truffle gives us the transaction hashes of each operation, so we can check for details or logs later. Here is the complete output that I’ve received.
9.4 To see the interaction with the contract we can access it via RSK Testnet explorer. All interactions with our contract will appear in the explorer!


tests_and_coverage.Rmd
This output is created by covrpage.
Coverage summary is created using the covr package.
| Object | Coverage (%) |
|---|---|
| slackteams | 0 |
| R/file_managment.R | 0 |
| R/get_methods.R | 0 |
| R/private_methods.R | 0 |
| R/set_methods.R | 0 |
| R/team_managment.R | 0 |
| R/utils.R | 0 |
Unit Test summary is created using the testthat package.
| file | n | time | error | failed | skipped | warning |
|---|---|---|---|---|---|---|
| test-file_managment.R | 1 | 0.013 | 0 | 0 | 0 | 0 |
Show Detailed Test Results
| file | context | test | status | n | time |
|---|---|---|---|---|---|
| test-file_managment.R | file_managment | multiplication works | PASS | 1 | 0.013 |
Session Info
| Field | Value |
|---|---|
| Version | R version 3.6.1 (2019-07-05) |
| Platform | x86_64-apple-darwin15.6.0 (64-bit) |
| Running | macOS Mojave 10.14.5 |
| Language | en_US |
| Timezone | America/New_York |
| Package | Version |
|---|---|
| testthat | 2.2.1 |
| covr | 3.3.0 |
| covrpage | 0.0.70 |


Normal gallery
Gallery with mixed content
Only items which match the selecor ``a.add-to-gallery`` are added.
Link only
Image popups, not collected in a gallery
(Timestamp to see if page has reloaded: )


This panel will show the documentation for the currently selected item in the editor.
For example, selecting Draw.Dot in the line Draw.Dot(5,5,black)
will display the documentation for Draw.Dot.
To browse the turing documentation in a full window and with an index press F10 or look in the Help menu.


Zoho Mail
Go Back
Partner Flow
Domain
.com
.eu
The name of the region the account is configured
Client Id
The name of the region the account is configured
Client Secret
Created in the developer console
Authorization Redirect URL
Copy this URL into your web applications
Authenticate


BEAN A film review by Steve Rhodes Copyright 1997 Steve Rhodes
RATING (0 TO ****): * 1/2
BEAN, featuring the antics of slapstick comedian Rowan Atkinson, opened first in Germany and Portugal, where it was a big hit. Atkinson with his almost mute acting shtick grunts a lot in the movie but speaks very little, probably no more than a hundred words in the entire picture. His style of comedy lives or dies based upon how funny you find his exaggerated physical humor.
Atkinson became famous in Britain and elsewhere with his "Blackadder" television series. American audience may know him best as the tongue-tied priest in FOUR WEDDINGS AND A FUNERAL.
Although his fans may find BEAN well worth their time, others may find this 1:30 film about 1:27 too long. There is probably enough humorous material in BEAN for a "Saturday Night Live" skit, but as a full-length movie it does little more than provide an opportunity to get to know your watch better. The dull and relatively ugly cinematography by Francis Kenny does not help break the film's tedium.
Rowan Atkinson plays a guard named Mr. Bean who works at the National Gallery of Art in London. When the board, who views him as the worst employee they've ever had, is unable to fire him, they pawn him off as an art expert to the Grierson Gallery in Los Angeles. The Grierson Gallery, thanks to a generous donation, has purchased "Whistler's Mother." "Dr." Bean is supposed to speak at the picture's unveiling.
Burt Reynolds, in one of his many throw-away roles, plays the museum's benefactor, General Newton. "I don't know the difference between a Picasso and a car crash," he admits.
The curator of the Grierson Gallery, David Langley (Peter MacNicol), takes the crude Dr. Bean to stay with his family. After his wife, Alison (Pamela Reed), meets this guy with spastic lips, bug eyes, and the ability to destroy precious objects in nanoseconds, she leaves town and takes the kids.
Alison is the smartest one in the film and the only one who had the good sense to walk out. Let me give you a flavor of the brand of humor which the movie relishes.  He bursts a full barf bag over one of his fellow plane passengers. He makes obscene gestures at strangers from his car. And mainly he makes several variations of the classic funny face in which one contorts every facial feature.
"Stay here and do nothing," advises David as his cure for the disaster prone Bean. "If you do nothing, nothing can go wrong." Bean, of course, ignores this advice. So we get more grunting and grimacing.
At the end, when David is finally able to end his troubles, and mine, by putting Bean on a plane back to Britain, David has one parting thought. "You could come back and visit anytime in the fairly distant future," he says. I agree -- very distant.
BEAN runs 1:30, but feels much longer. The movie is rated PG-13 for sexual humor. The movie would be acceptable for kids 10 and up. We considered taking our 8 year old, but wisely rejected that idea.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Man, 28, allegedly uses box cutter in Kapolei threat | Honolulu Star-Advertiser
A 28-year-old man allegedly threatened a 35-year-old man with a box cutter knife in Kapolei Saturday night.
The threat allegedly occurred at 8:11 p.m. and the suspect was arrested at 8:30 p.m.
He was in custody Saturday night on suspicion of first-degree terroristic threatening.


Israel confirms ceasefire with Islamic Jihad after flare-up in Gaza
Israel and the militant Islamic Jihad group in Gaza have reached a ceasefire to end the heaviest fighting in months that killed at least 34 Palestinians and paralysed parts of Israel.
Islamic Jihad spokesman Musab al-Berim said the Egyptian-brokered deal came into effect at 5.30am.
An Israeli military spokesman later tweeted that the operation in Gaza “is over”.
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Toll rises in Australian wildfires with worsening weather forecast


Music of the Heart (1999) Reviewed by Eugene Novikov http://www.ultimate-movie.com/ Member: Online Film Critics Society
"How do you get to Carnegie Hall? Practice, practice, practice."
Starring Meryl Streep, Aidan Quinn, Angela Bassett, Gloria Estefan. Rated PG.
There are two parts to Music of the Heart. One is a charming, well- developed, engrossing human story. The other is a derivative, formulaic piece of pseudo-inspirational melodrama. Priority is given to the latter. Meryl Streep does her best with it, but fails to lift it above mediocrity; the general storyline is too tired and too overdone to work with any actor or actress. This is a good effort from genre-hopping director Wes Craven, but it never does come around.
They say it's a true story: struggling musician Roberta Gaspari comes to East Harlem with her two kids to teach. Though she is met with fierce opposition, she manages to start a violin class in a local elementary school. She is treated with skepticism by the principal (Angela Bassett) and with utter contempt by the head of the music department. Determined as anything, she persists and succeeds in establishing an enormously successful program that is eventually taken beyond the elementary school and into the high school.
Meanwhile her husband and father of her two boys has left her for a former friend and she starts up a relationship with the charming Brian (Aidan Quinn), whom the boys take to well. Unfortunately it falls apart when Brian tells Roberta that he does not believe in the institution of marriage and if Roberta didn't meet all of his need he would, in theory, seek to have his needs met elsewhere.
Her life is torn apart when, predictably, the school board cuts the budget and the violin program is cut. Her position is put in jeopardy. She decides to give the system a fight for their money. With the help of her friend, Roberta plans a benefit concert at a local theater, starring her most advanced violinists as well as a couple world-famous violin stars. Hell, she even brings back 3 of her first students, now dashing young ladies and gentlemen who still happen to remember how to impeccably play a difficult instrument.
Music of the Heart manages to go through every solitary convention usually associated with these kinds of films.  It is a retread of a whole bunch of movies: Dangerous Minds, Mr. Holland's Opus, Lean on Me, even Sister Act. It's even less compelling.
I did like the personal story, which is far too shortened and concise. The result of the personal ad was wrapped up so abruptly it seemed like a script screw-up; I wanted to see more. Roberta Gaspari is a rich, interesting character stuck in a horrid plot punctuated by occasional heartfelt moments. The film's focus is on the wrong part of the plot; the human story would have served as a far better vehicle for thespian extraordinaire Streep.
The film was directed, oddly enough, by none other than Wes Craven, the horror-meister who brought us A Nightmare on Elm Street and Scream. I suppose he molds to the genre well, with only the slightest hints of his horror movie roots (such as a scene where Streep, upon finding out some bad news, walks menacingly down a hallway, her head low, her hair flowing, with intense music blaring on the soundtrack) left over. I appreciate the effort to break out of his niche genre, but this was the wrong project to do so; his Scream movies were much less ordinary and formulaic.
The film insists on telling us that it's a true story, almost as a justification for its trite plot. When I pan a film that was "based on a true story" on the grounds of an inadequate plot, people always tell me "That really happened: the filmmakers didn't make it up!" Well I don't care. Not every true story has to be made into a movie. This particular story has been filmed too many times, both fictitiously and allegedly based on facts. Enough already.
Grade: C
©1999 Eugene Novikov
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|
Name |
GitHub url |
Framework |
SolARFramework |
https://github.com/SolarFramework/SolARFramework |
SolARFrameworkGRPCRemote |
https://github.com/SolarFramework/SolARFrameworkGRPCRemote |
SolARPipelineManager |
https://github.com/SolarFramework/SolARPipelineManager |
SolARWrapper |
https://github.com/SolarFramework/SolARWrapper |
Modules |
SolARModuleCeres |
https://github.com/SolarFramework/SolARModuleCeres |
SolARModuleFBOW |
https://github.com/SolarFramework/SolARModuleFBOW |
SolARModuleG2O |
https://github.com/SolarFramework/SolARModuleG2O |
SolARModuleNonFreeOpenCV |
https://github.com/SolarFramework/SolARModuleNonFreeOpenCV |
SolARModuleOpenCV |
https://github.com/SolarFramework/SolARModuleOpenCV |
SolARModuleOpenGL |
https://github.com/SolarFramework/SolARModuleOpenGL |
SolARModuleOpenGV |
https://github.com/SolarFramework/SolARModuleOpenGV |
SolARModulePCL |
https://github.com/SolarFramework/SolARModulePCL |
SolARModulePopSift |
https://github.com/SolarFramework/SolARModulePopSift |
SolARModuleRealSense |
https://github.com/SolarFramework/SolARModuleRealSense |
SolARModuleTools |
https://github.com/SolarFramework/SolARModuleTools |
Samples |
Sample-FiducialMarker |
https://github.com/SolarFramework/Sample-FiducialMarker |
Sample-NaturalImageMarker |
https://github.com/SolarFramework/Sample-NaturalImageMarker |
Sample-DepthCamera |
https://github.com/SolarFramework/Sample-DepthCamera |
Sample-MapUpdate |
https://github.com/SolarFramework/Sample-MapUpdate |
Sample-Mapping |
https://github.com/SolarFramework/Sample-Mapping |
Sample-Relocalization |
https://github.com/SolarFramework/Sample-Relocalization |
Sample-Triangulation |
https://github.com/SolarFramework/Sample-Triangulation |
Sample-Slam |
https://github.com/SolarFramework/Sample-Slam |
Services |
Service-Mapping |
https://github.com/SolarFramework/Service-Mapping |
Service-MapUpdate |
https://github.com/SolarFramework/Service-MapUpdate |
Service-Relocalization |
https://github.com/SolarFramework/Service-Relocalization |


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include ':app', ':GR004', ':GR008'
.
It is not possible to import directly an aar file into eclispe. The AAR is handled specifically by Android Studio through the Android gradle plugin.
However, there are several way to import them manually inside eclipse.
| XML | Code | Render | |
|---|---|---|---|
<com.sccomponents.gauges.gr004.GR004 android:layout_width="match_parent" android:layout_height="match_parent" /> |
OR |
GR004 gauge = new GR004(this); |


"Enjoy the little things, for one day you may look back and realize they were the big things."
- Robert Brault
"Sleep more than you study, study more than you party, and party often. Although we are here to get an education, don't forget to experience life."
- Unknown
"The important thing is not to stop questioning. Curiosity has its own reason for existing."
- Albert Einstein


{% extends "frontend/layout/page.html" %} {# Remove nav. This is to avoid an information leak where current Raven but ex-cued members may be identified by the presence of their name in the nagivation bar. #} {% block nav %}{% endblock nav %} {% block maincontent %}
You are currently logged in as {{ user.username }}. If you wish you may log out and log back in as a different user.
{% endif %} {% endblock maincontent %}


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Linus Torvalds
The Creator Of Linux
-
1969
--------------------------------------------------------------------------------------------------------------------Linus Torvalds was born in Helsinki, Finland. His parent, Anna and Nils Torvalds, were both journalists. Torvalds claims that he was named after Linus Pauling, an Nobel Prize-winning American Chemist, and Linus from the Peanuts cartoon.
-
1981-1991
-------------------------------------------------------------------------------------------------------------------Torvalds interest in computers begins with the Commodore VIC-20. He started coding in BASIC and later used machine code to directly access the CPU. He eventually purchased a Sinclair QL which he used to modify the operating system. He wrote his own assembler and editor as well as a Pac-Man clone called Cool Man. In 1991 he purchased an Intel 80386 PC which he used to start working on Linux. The first prototypes were released later that year.
-
1991-1994
-------------------------------------------------------------------------------------------------------------------Torvalds was taken to University of Technology to listen to Richard Stallman, a free software guru, speak. This is when he first comes into contact with the GNU Project. He would go on to use the GNU General Public License version 2 for his Linux kernel. Version 1.0 of the Linux Kernel was released on March 14, 1994.
-
1996-2003
-------------------------------------------------------------------------------------------------------------------Torvalds visited Transmeta, in California, and would eventually work there from February 2007 until June 2003. He was involved with 86open from 1997 to 1999 choosing the standard binary format for Linus and Unix. He was named one of the world's top innovators in 1999 by MIT Technology Review TR100 Also in 1999, he was given stock options from Red Hat and VA Linux as gratitude for him creating Linux. His share value would shoot up to $20 million later that year when both companies went public.


Apply for a Sim card online
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Access your bank application for issuance for Relationship Credential.
Apply for Sim card only through your bank issued Relationship Credential by clicking on button below.
Hello {{user.oidc_user.userinfo.CustomerName}} Relationship Credentials received and verified!. SIM will be delievered at your postal address : {{user.oidc_user.userinfo.PostalAddress}}
You can close your session.
FutureCom accepts digital Relationship Credentials from the following banks for the instant verification and issuance of SIM cards


"Sustainable fashion is the creation of beautiful garments that are empower their makers with respect, livelihood and a platform for their crafts and voice"
Greatest destination for Ethinic Clothing, Jewelery & Accessories for Women, Mens & Kids
Founded in 2016 by Goma Tiwari & Sunil Kunwar, Goma & Sunil Studio is one of best fashion houses. GSK Versatile with its line of wedding wear for womens, mens and kids; Goma Tiwari offering exquisite bridal couture and a pret line for men & women, handcrafted jewellery; by Goma Tiwari which is a tribute to the handcrafted traditions of Nepal, seeking to revive and sustain heirloom traditions and empower artisans in villages.
Our Country is unique in terms of its culture, which made it even more important to understand what she was looking for, her psyche, her body and her comfort levels. GSK Versatile offers a chic collection of Wedding wear that comfortably combines Gown & Anarkali. It has evolved to keep pace with its clients’ changing lifestyles. GSK Versatile takes them to higher levels of comfort and confidence by making them look, feel, work and play better. The label constantly refreshes its designs and experiments with international trends to help customers create their own personel style.
We believes that fashion plays a defining role in enhancing a person’s confidence and sense of self. We seek to create luxurious designs that leave unforgettable impressions on the world, and are yet versatile enough to transcend people, places and occasions.
We pay homage to the supreme craftsmanship of Nepal by creating exquisite ensembles and handcrafted jewellery, oftentimes designing collections with the sole aim of uplifting our artisans. GSK Versatile stands for a simple, unembellished thought—to create beautiful tomorrows for the planet and its people.
Make an unforgettable impression with GSK Versatiles’s sharp silhouettes, soft hues and confident statements. Every perfectly crafted piece strikes the delicate balance between contemporary style and classic charm. With its stunning, sophisticated western-wear, GSK Versatile turns everyday living into your everyday runway.