Ellipses¶
-
class
sympy.geometry.ellipse.
Ellipse
[source]¶ An elliptical GeometryEntity.
Parameters: center : Point, optional
Default value is Point(0, 0)
hradius : number or SymPy expression, optional
vradius : number or SymPy expression, optional
eccentricity : number or SymPy expression, optional
Two of \(hradius\), \(vradius\) and \(eccentricity\) must be supplied to create an Ellipse. The third is derived from the two supplied.
Raises: GeometryError
When \(hradius\), \(vradius\) and \(eccentricity\) are incorrectly supplied as parameters.
TypeError
When \(center\) is not a Point.
See also
Notes
Constructed from a center and two radii, the first being the horizontal radius (along the x-axis) and the second being the vertical radius (along the y-axis).
When symbolic value for hradius and vradius are used, any calculation that refers to the foci or the major or minor axis will assume that the ellipse has its major radius on the x-axis. If this is not true then a manual rotation is necessary.
Examples
>>> from sympy import Ellipse, Point, Rational >>> e1 = Ellipse(Point(0, 0), 5, 1) >>> e1.hradius, e1.vradius (5, 1) >>> e2 = Ellipse(Point(3, 1), hradius=3, eccentricity=Rational(4, 5)) >>> e2 Ellipse(Point2D(3, 1), 3, 9/5)
Plotting:
>>> from sympy.plotting.pygletplot import PygletPlot as Plot >>> from sympy import Circle, Segment >>> c1 = Circle(Point(0,0), 1) >>> Plot(c1) [0]: cos(t), sin(t), 'mode=parametric' >>> p = Plot() >>> p[0] = c1 >>> radius = Segment(c1.center, c1.random_point()) >>> p[1] = radius >>> p [0]: cos(t), sin(t), 'mode=parametric' [1]: t*cos(1.546086215036205357975518382), t*sin(1.546086215036205357975518382), 'mode=parametric'
Attributes
center hradius vradius area circumference eccentricity periapsis apoapsis focus_distance foci -
apoapsis
¶ The apoapsis of the ellipse.
The greatest distance between the focus and the contour.
Returns: apoapsis : number See also
periapsis
- Returns shortest distance between foci and contour
Examples
>>> from sympy import Point, Ellipse >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.apoapsis 2*sqrt(2) + 3
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arbitrary_point
(parameter='t')[source]¶ A parameterized point on the ellipse.
Parameters: parameter : str, optional
Default value is ‘t’.
Returns: arbitrary_point : Point
Raises: ValueError
When \(parameter\) already appears in the functions.
See also
Examples
>>> from sympy import Point, Ellipse >>> e1 = Ellipse(Point(0, 0), 3, 2) >>> e1.arbitrary_point() Point2D(3*cos(t), 2*sin(t))
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area
¶ The area of the ellipse.
Returns: area : number Examples
>>> from sympy import Point, Ellipse >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.area 3*pi
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bounds
¶ Return a tuple (xmin, ymin, xmax, ymax) representing the bounding rectangle for the geometric figure.
-
center
¶ The center of the ellipse.
Returns: center : number See also
Examples
>>> from sympy import Point, Ellipse >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.center Point2D(0, 0)
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circumference
¶ The circumference of the ellipse.
Examples
>>> from sympy import Point, Ellipse >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.circumference 12*Integral(sqrt((-8*_x**2/9 + 1)/(-_x**2 + 1)), (_x, 0, 1))
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eccentricity
¶ The eccentricity of the ellipse.
Returns: eccentricity : number Examples
>>> from sympy import Point, Ellipse, sqrt >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, sqrt(2)) >>> e1.eccentricity sqrt(7)/3
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encloses_point
(p)[source]¶ Return True if p is enclosed by (is inside of) self.
Parameters: p : Point Returns: encloses_point : True, False or None See also
Notes
Being on the border of self is considered False.
Examples
>>> from sympy import Ellipse, S >>> from sympy.abc import t >>> e = Ellipse((0, 0), 3, 2) >>> e.encloses_point((0, 0)) True >>> e.encloses_point(e.arbitrary_point(t).subs(t, S.Half)) False >>> e.encloses_point((4, 0)) False
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equation
(x='x', y='y')[source]¶ The equation of the ellipse.
Parameters: x : str, optional
Label for the x-axis. Default value is ‘x’.
y : str, optional
Label for the y-axis. Default value is ‘y’.
Returns: equation : sympy expression
See also
arbitrary_point
- Returns parameterized point on ellipse
Examples
>>> from sympy import Point, Ellipse >>> e1 = Ellipse(Point(1, 0), 3, 2) >>> e1.equation() y**2/4 + (x/3 - 1/3)**2 - 1
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evolute
(x='x', y='y')[source]¶ The equation of evolute of the ellipse.
Parameters: x : str, optional
Label for the x-axis. Default value is ‘x’.
y : str, optional
Label for the y-axis. Default value is ‘y’.
Returns: equation : sympy expression
Examples
>>> from sympy import Point, Ellipse >>> e1 = Ellipse(Point(1, 0), 3, 2) >>> e1.evolute() 2**(2/3)*y**(2/3) + (3*x - 3)**(2/3) - 5**(2/3)
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foci
¶ The foci of the ellipse.
Raises: ValueError
When the major and minor axis cannot be determined.
Notes
The foci can only be calculated if the major/minor axes are known.
Examples
>>> from sympy import Point, Ellipse >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.foci (Point2D(-2*sqrt(2), 0), Point2D(2*sqrt(2), 0))
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focus_distance
¶ The focale distance of the ellipse.
The distance between the center and one focus.
Returns: focus_distance : number See also
Examples
>>> from sympy import Point, Ellipse >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.focus_distance 2*sqrt(2)
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hradius
¶ The horizontal radius of the ellipse.
Returns: hradius : number Examples
>>> from sympy import Point, Ellipse >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.hradius 3
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intersection
(o)[source]¶ The intersection of this ellipse and another geometrical entity \(o\).
Parameters: o : GeometryEntity Returns: intersection : list of GeometryEntity objects See also
Notes
Currently supports intersections with Point, Line, Segment, Ray, Circle and Ellipse types.
Examples
>>> from sympy import Ellipse, Point, Line, sqrt >>> e = Ellipse(Point(0, 0), 5, 7) >>> e.intersection(Point(0, 0)) [] >>> e.intersection(Point(5, 0)) [Point2D(5, 0)] >>> e.intersection(Line(Point(0,0), Point(0, 1))) [Point2D(0, -7), Point2D(0, 7)] >>> e.intersection(Line(Point(5,0), Point(5, 1))) [Point2D(5, 0)] >>> e.intersection(Line(Point(6,0), Point(6, 1))) [] >>> e = Ellipse(Point(-1, 0), 4, 3) >>> e.intersection(Ellipse(Point(1, 0), 4, 3)) [Point2D(0, -3*sqrt(15)/4), Point2D(0, 3*sqrt(15)/4)] >>> e.intersection(Ellipse(Point(5, 0), 4, 3)) [Point2D(2, -3*sqrt(7)/4), Point2D(2, 3*sqrt(7)/4)] >>> e.intersection(Ellipse(Point(100500, 0), 4, 3)) [] >>> e.intersection(Ellipse(Point(0, 0), 3, 4)) [Point2D(-363/175, -48*sqrt(111)/175), Point2D(-363/175, 48*sqrt(111)/175), Point2D(3, 0)]
>>> e.intersection(Ellipse(Point(-1, 0), 3, 4)) [Point2D(-17/5, -12/5), Point2D(-17/5, 12/5), Point2D(7/5, -12/5), Point2D(7/5, 12/5)]
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is_tangent
(o)[source]¶ Is \(o\) tangent to the ellipse?
Parameters: o : GeometryEntity
An Ellipse, LinearEntity or Polygon
Returns: is_tangent: boolean
True if o is tangent to the ellipse, False otherwise.
Raises: NotImplementedError
When the wrong type of argument is supplied.
See also
Examples
>>> from sympy import Point, Ellipse, Line >>> p0, p1, p2 = Point(0, 0), Point(3, 0), Point(3, 3) >>> e1 = Ellipse(p0, 3, 2) >>> l1 = Line(p1, p2) >>> e1.is_tangent(l1) True
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major
¶ Longer axis of the ellipse (if it can be determined) else hradius.
Returns: major : number or expression Examples
>>> from sympy import Point, Ellipse, Symbol >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.major 3
>>> a = Symbol('a') >>> b = Symbol('b') >>> Ellipse(p1, a, b).major a >>> Ellipse(p1, b, a).major b
>>> m = Symbol('m') >>> M = m + 1 >>> Ellipse(p1, m, M).major m + 1
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minor
¶ Shorter axis of the ellipse (if it can be determined) else vradius.
Returns: minor : number or expression Examples
>>> from sympy import Point, Ellipse, Symbol >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.minor 1
>>> a = Symbol('a') >>> b = Symbol('b') >>> Ellipse(p1, a, b).minor b >>> Ellipse(p1, b, a).minor a
>>> m = Symbol('m') >>> M = m + 1 >>> Ellipse(p1, m, M).minor m
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normal_lines
(p, prec=None)[source]¶ Normal lines between \(p\) and the ellipse.
Parameters: p : Point Returns: normal_lines : list with 1, 2 or 4 Lines Examples
>>> from sympy import Line, Point, Ellipse >>> e = Ellipse((0, 0), 2, 3) >>> c = e.center >>> e.normal_lines(c + Point(1, 0)) [Line(Point2D(0, 0), Point2D(1, 0))] >>> e.normal_lines(c) [Line(Point2D(0, 0), Point2D(0, 1)), Line(Point2D(0, 0), Point2D(1, 0))]
Off-axis points require the solution of a quartic equation. This often leads to very large expressions that may be of little practical use. An approximate solution of \(prec\) digits can be obtained by passing in the desired value:
>>> e.normal_lines((3, 3), prec=2) [Line(Point2D(-38/47, -85/31), Point2D(9/47, -21/17)), Line(Point2D(19/13, -43/21), Point2D(32/13, -8/3))]
Whereas the above solution has an operation count of 12, the exact solution has an operation count of 2020.
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periapsis
¶ The periapsis of the ellipse.
The shortest distance between the focus and the contour.
Returns: periapsis : number See also
apoapsis
- Returns greatest distance between focus and contour
Examples
>>> from sympy import Point, Ellipse >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.periapsis -2*sqrt(2) + 3
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plot_interval
(parameter='t')[source]¶ The plot interval for the default geometric plot of the Ellipse.
Parameters: parameter : str, optional
Default value is ‘t’.
Returns: plot_interval : list
[parameter, lower_bound, upper_bound]
Examples
>>> from sympy import Point, Ellipse >>> e1 = Ellipse(Point(0, 0), 3, 2) >>> e1.plot_interval() [t, -pi, pi]
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random_point
(seed=None)[source]¶ A random point on the ellipse.
Returns: point : Point Notes
An arbitrary_point with a random value of t substituted into it may not test as being on the ellipse because the expression tested that a point is on the ellipse doesn’t simplify to zero and doesn’t evaluate exactly to zero:
>>> from sympy.abc import t >>> e1.arbitrary_point(t) Point2D(3*cos(t), 2*sin(t)) >>> p2 = _.subs(t, 0.1) >>> p2 in e1 False
Note that arbitrary_point routine does not take this approach. A value for cos(t) and sin(t) (not t) is substituted into the arbitrary point. There is a small chance that this will give a point that will not test as being in the ellipse, so the process is repeated (up to 10 times) until a valid point is obtained.
Examples
>>> from sympy import Point, Ellipse, Segment >>> e1 = Ellipse(Point(0, 0), 3, 2) >>> e1.random_point() # gives some random point Point2D(...) >>> p1 = e1.random_point(seed=0); p1.n(2) Point2D(2.1, 1.4)
The random_point method assures that the point will test as being in the ellipse:
>>> p1 in e1 True
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reflect
(line)[source]¶ Override GeometryEntity.reflect since the radius is not a GeometryEntity.
Notes
Until the general ellipse (with no axis parallel to the x-axis) is supported a NotImplemented error is raised and the equation whose zeros define the rotated ellipse is given.
Examples
>>> from sympy import Circle, Line >>> Circle((0, 1), 1).reflect(Line((0, 0), (1, 1))) Circle(Point2D(1, 0), -1) >>> from sympy import Ellipse, Line, Point >>> Ellipse(Point(3, 4), 1, 3).reflect(Line(Point(0, -4), Point(5, 0))) Traceback (most recent call last): ... NotImplementedError: General Ellipse is not supported but the equation of the reflected Ellipse is given by the zeros of: f(x, y) = (9*x/41 + 40*y/41 + 37/41)**2 + (40*x/123 - 3*y/41 - 364/123)**2 - 1
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rotate
(angle=0, pt=None)[source]¶ Rotate
angle
radians counterclockwise about Pointpt
.Note: since the general ellipse is not supported, only rotations that are integer multiples of pi/2 are allowed.
Examples
>>> from sympy import Ellipse, pi >>> Ellipse((1, 0), 2, 1).rotate(pi/2) Ellipse(Point2D(0, 1), 1, 2) >>> Ellipse((1, 0), 2, 1).rotate(pi) Ellipse(Point2D(-1, 0), 2, 1)
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scale
(x=1, y=1, pt=None)[source]¶ Override GeometryEntity.scale since it is the major and minor axes which must be scaled and they are not GeometryEntities.
Examples
>>> from sympy import Ellipse >>> Ellipse((0, 0), 2, 1).scale(2, 4) Circle(Point2D(0, 0), 4) >>> Ellipse((0, 0), 2, 1).scale(2) Ellipse(Point2D(0, 0), 4, 1)
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tangent_lines
(p)[source]¶ Tangent lines between \(p\) and the ellipse.
If \(p\) is on the ellipse, returns the tangent line through point \(p\). Otherwise, returns the tangent line(s) from \(p\) to the ellipse, or None if no tangent line is possible (e.g., \(p\) inside ellipse).
Parameters: p : Point
Returns: tangent_lines : list with 1 or 2 Lines
Raises: NotImplementedError
Can only find tangent lines for a point, \(p\), on the ellipse.
Examples
>>> from sympy import Point, Ellipse >>> e1 = Ellipse(Point(0, 0), 3, 2) >>> e1.tangent_lines(Point(3, 0)) [Line(Point2D(3, 0), Point2D(3, -12))]
>>> # This will plot an ellipse together with a tangent line. >>> from sympy.plotting.pygletplot import PygletPlot as Plot >>> from sympy import Point, Ellipse >>> e = Ellipse(Point(0,0), 3, 2) >>> t = e.tangent_lines(e.random_point()) >>> p = Plot() >>> p[0] = e >>> p[1] = t
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vradius
¶ The vertical radius of the ellipse.
Returns: vradius : number Examples
>>> from sympy import Point, Ellipse >>> p1 = Point(0, 0) >>> e1 = Ellipse(p1, 3, 1) >>> e1.vradius 1
-
-
class
sympy.geometry.ellipse.
Circle
[source]¶ A circle in space.
Constructed simply from a center and a radius, or from three non-collinear points.
Parameters: center : Point
radius : number or sympy expression
points : sequence of three Points
Raises: GeometryError
When trying to construct circle from three collinear points. When trying to construct circle from incorrect parameters.
See also
Examples
>>> from sympy.geometry import Point, Circle >>> # a circle constructed from a center and radius >>> c1 = Circle(Point(0, 0), 5) >>> c1.hradius, c1.vradius, c1.radius (5, 5, 5)
>>> # a circle costructed from three points >>> c2 = Circle(Point(0, 0), Point(1, 1), Point(1, 0)) >>> c2.hradius, c2.vradius, c2.radius, c2.center (sqrt(2)/2, sqrt(2)/2, sqrt(2)/2, Point2D(1/2, 1/2))
Attributes
radius (synonymous with hradius, vradius, major and minor) circumference equation -
circumference
¶ The circumference of the circle.
Returns: circumference : number or SymPy expression Examples
>>> from sympy import Point, Circle >>> c1 = Circle(Point(3, 4), 6) >>> c1.circumference 12*pi
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equation
(x='x', y='y')[source]¶ The equation of the circle.
Parameters: x : str or Symbol, optional
Default value is ‘x’.
y : str or Symbol, optional
Default value is ‘y’.
Returns: equation : SymPy expression
Examples
>>> from sympy import Point, Circle >>> c1 = Circle(Point(0, 0), 5) >>> c1.equation() x**2 + y**2 - 25
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intersection
(o)[source]¶ The intersection of this circle with another geometrical entity.
Parameters: o : GeometryEntity Returns: intersection : list of GeometryEntities Examples
>>> from sympy import Point, Circle, Line, Ray >>> p1, p2, p3 = Point(0, 0), Point(5, 5), Point(6, 0) >>> p4 = Point(5, 0) >>> c1 = Circle(p1, 5) >>> c1.intersection(p2) [] >>> c1.intersection(p4) [Point2D(5, 0)] >>> c1.intersection(Ray(p1, p2)) [Point2D(5*sqrt(2)/2, 5*sqrt(2)/2)] >>> c1.intersection(Line(p2, p3)) []
-
radius
¶ The radius of the circle.
Returns: radius : number or sympy expression See also
Ellipse.major
,Ellipse.minor
,Ellipse.hradius
,Ellipse.vradius
Examples
>>> from sympy import Point, Circle >>> c1 = Circle(Point(3, 4), 6) >>> c1.radius 6
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reflect
(line)[source]¶ Override GeometryEntity.reflect since the radius is not a GeometryEntity.
Examples
>>> from sympy import Circle, Line >>> Circle((0, 1), 1).reflect(Line((0, 0), (1, 1))) Circle(Point2D(1, 0), -1)
-
scale
(x=1, y=1, pt=None)[source]¶ Override GeometryEntity.scale since the radius is not a GeometryEntity.
Examples
>>> from sympy import Circle >>> Circle((0, 0), 1).scale(2, 2) Circle(Point2D(0, 0), 2) >>> Circle((0, 0), 1).scale(2, 4) Ellipse(Point2D(0, 0), 2, 4)
-
vradius
¶ This Ellipse property is an alias for the Circle’s radius.
Whereas hradius, major and minor can use Ellipse’s conventions, the vradius does not exist for a circle. It is always a positive value in order that the Circle, like Polygons, will have an area that can be positive or negative as determined by the sign of the hradius.
Examples
>>> from sympy import Point, Circle >>> c1 = Circle(Point(3, 4), 6) >>> c1.vradius 6
-


The Libary of Babel
A
By Jorge Luis Borges
The universe (which others call the Library) is composed of an indefinite and perhaps infinite number of hexagonal galleries, with vast air shafts between, surrounded by very low railings. From any of the hexag
ons one can see, interminably, the upper and lower floors. The distribution of the galleries is invariable. Twenty shelves, five long shelves per side, cover all the sides exc
ept two; their height, which is the distance from floor to ceiling, scarcely exceeds that of a normal bookcase. One of the free sides leads to a narrow hallway which opens onto another gallery, identical to the fir
st and to all the rest. To the left and right of the hallway there are two very small closets. In the first, one may sleep standing up; in the other, satisfy one's fecal necessities. Also throu
gh here passes a spiral stairway, which sinks abysmally and soars upwards to remote distances. In the hallway there is a mirror which faithfully duplicates all appearances. Men usua


---
title: Guess who has tickets to watch The National?
comments: true
tags:
- Music
thumbnail: https://img.youtube.com/vi/JUhpzyun8SE/default.jpg
blogger_orig_url: http://stickmanscorral.blogspot.com/2011/03/guess-who-has-tickets-to-watch-national.html
---
That would be me.
Campo Pequeno, Lisbon. May 24.
Possibly the coolest group of visibly uncool, thirty-something white guys to hit the music scene since Death Cab For Cutie.


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Weighed In: Novice numbers | Statistical insight and horses to follow
by Ben LinfootBen Linfoot wonders if there are punting angles to be had in novice handicap chases and picks out a couple more eyecatchers for his horses to follow list.
Statistical Insight - Novice Handicap Chases
Novice handicap chases have vastly increased in number over the last decade or so as part of a BHA initiative to improve field sizes, competitiveness and betting appeal in the sphere.
I’ve long thought that these type of races offer an opportunity to the punter to find an edge, largely because we are dealing with inexperienced horses over fences.
Often, these days, you’ll find a chasing debutant in a novice handicap with a rating allotted to them on a judgement of their hurdling form, so that immediately makes these contests a bit different.
Usually you have some racecourse evidence ahead of a horse making their handicap debut, but in the world of novice handicap chasing this is often not the case – certainly when it comes to them jumping an actual fence in public.
Such thrills appeal to the most masochistic of punters (me) and maybe we can find an edge by looking through the numbers to see if certain trainers or sires thrive in this risky pursuit.
Firstly, the table above is purely based on number of winners, just to see who succeeds in these races more often than others.
Paul Nicholls and Tom George are tied at the top for numbers of winners in the sphere, with Jonjo O’Neill and Venetia Williams also part of the 100 club.
All have respectable strike-rates compared to their overall winners-to-runners percentage, but in truth there’s not an awful lot we can take from the data and I’d rather look at the trainers that don’t quite have such a quantity of ammunition.
Some healthy strike-rates are on show here and the one that stands out is Dan Skelton’s, his 23.01 per cent figure being carved from 226 runners.
John Quinn hasn’t had a novice handicap chaser run since the May of 2018, so Harry Fry probably deserves to be top of this particular chart after his four winners from nine runners in novice chase handicaps last year.
He’s still to have a winner in the sphere in 2019, but is clearly one to look out for when he has a qualifier and the same can be said for Harry Whittington, Kerry Lee and Nick Williams.
Shropshire trainer John Groucott, who has a 9 per cent strike-rate overall, certainly seems to excel in the novice handicap chasing field, winning 11 from 47 at 23.4 per cent.
His entries are worth monitoring when he has a local runner, as his victories have come at Bangor, Hereford, Huntingdon, Leicester, Ludlow, Southwell, Stratford, Worcester – and he’s even one from one at Cheltenham thanks to Midnight Target’s win in the April of 2018.
His near 60 per cent rivals beaten figure from almost 50 runners tells you he knows what he’s doing with a novice handicap chaser and it’s a record well worth bearing in mind.
As I alluded to at the top, it’s the chasing debutants that intrigue me in this genre and some trainers are carving out good records with first-time-out-fencers in a novice handicap chase.
Emma Lavelle, her stable probably renowned for developing chasers, tops the charts here with an excellent 27.08 per cent strike-rate, with Richard Rowe not far behind on 25.58 per cent.
Nicky Henderson doesn’t have as many runners in these sort of races as his contemporaries (his overall record is 51/300 at 17 per cent), but he excels with chasing debutants in novice handicap chases as a 24.19 win strike-rate shows.
Skelton performs well with chasing debutants in novice handicap chases, too, his rivals beaten percentage of 55.50 the highest in the list.
As for profitable trainers to follow, David Bridgwater has amassed a level stakes profit of +49.50 to starting price from just eight winners.
His biggest-priced win was at 25/1 and he’s had winners at 13/2, 8/1, 12/1 and 20/1, too, so it’s not just one huge odds victor that’s skewed the results.
Similar comments apply to David Pipe, his P&L helped by one 25/1 winner but also achieved by having six winners between 7/2 and 8/1.
Seamus Mullins makes the list despite a smaller strike-rate thanks to 16/1, 28/1 and 33/1 winners, while Robin Dickin has had a 20/1 winner and a couple of 16/1 scorers, too.
Nicky Henderson and Emma Lavelle, who came out so well in the strike-rate table, have churned out profitable results with first-time chasers in the sphere, as well.
The last thing I looked at was National Hunt sires, to see if a certain type of horse has thrived as a chasing debutant in a novices’ handicap chase.
I’ve only included sires that have had 20 runners or more, including at least one qualifier this year, and the one that sticks out to me is Midnight Legend.
A high-class jumps sire, he’s responsible for Gold Cup winner Sizing John as well as horses of the calibre of Midnight Chase and Seeyouatmidnight and is a renowned source of a proper steeplechaser.
It’s perhaps no surprise to see him fare so well in this list, but with 16 first-time chase winners to his name in novice handicap chases at 19.28 per cent, with over 50 per cent of rivals beaten, the evidence very much backs up the assertion.
From a smaller pool of data, those above him in the list by way of strike-rate are probably worth monitoring too.
My Stable Eyecatchers
MAGIC SAINT (Paul Nicholls)
- Click here for full profile and to add to ‘My Stable’
- Click here for a full video replay of his latest run
I thought MAGIC SAINT shaped very nicely in the BetVictor Gold Cup on his first start for 208 days and he’s well worth following in the short term.
Back up in trip to 2m4f for the first time in five starts, he travelled into the contest smoothly before his effort flattened out up the hill.
Eventually finishing fifth, this was a really encouraging run on his first start since wind surgery and the handicapper has dropped him 1lb to 147 on the back of it.
He’s only 5lb higher than when hosing up at Wincanton in February, and a drop in trip or slightly better ground (or both) would be very much in his favour next time.
HAPPYGOLUCKY (Kim Bailey)
- Click here for full profile and to add to ‘My Stable’
- Click here for a full video replay of his latest run
Thyme Hill looks a horse out of the top drawer and I don’t think there was anything wrong with HAPPYGOLUCKY’s effort behind him on Saturday. His jumping was particularly impressive.
Eventually third in the Ballymore Novices’ Hurdle, Happygolucky looked the biggest danger to Thyme Hill at the second last but had to give way to the vastly more experienced Champagne Well up the hill.
A close-up third behind the runner-up, this was a terrific effort from Kim Bailey’s horse on just his third start (including a point-to-point) and he looks one to follow.
Going up in trip could help, but he’s been allotted a handicap mark of 137 and he could well have a say in such company off that rating between 2m4f and three miles in the coming months.
Weighed In: My Stable Horses To Follow
- Chambard (added 12/11/2019)
- Dorking Boy (added 05/11/2019)
- Happygolucky (added 19/11/2019)
- Lisp (added 05/11/2019)
- Magic Saint (added 19/11/2019)
- Midnightreferendum (added 12/11/2019)
- Old Rascals (added 05/11/2019)
With two more added we have seven to keep an eye on in the coming weeks and Lisp looks like being the first runner at Warwick on Wednesday.
He caught the eye in handicap hurdle company at Ascot but Alan King reports that he’s schooled well ahead of his chasing debut so his progress will be closely monitored.
Further afield the chasing debut of Old Rascals could well be at the Ladbrokes Trophy meeting at Newbury and I can’t wait to see him over a fence.
He absolutely bolted up against subsequent Aintree scorer Champagne Mystery when last seen and could be very well treated off 134 over fences on that evidence.
And discovering Emma Lavelle’s superb record with first-time out chasers in novice handicap company has only increased anticipation for this one’s fencing debut.
My Stable - Horse Tracking Made Simple
Click here to register log in to your My Stable account
It’s that time of the year when jump season takes centre stage. With thousands of horses, hundreds of jockeys and plenty of trainers performing across the UK & Ireland in multiple meetings every single day, it can be tough to keep track of all that catches your eye.
But not any longer. Our My Stable service is the simple and perfect way to stay on top (and ahead) of the game. You can easily follow the progress of your favourite horses, jockeys and trainers across six months of pure racing theatre by adding them to My Stable.
It’s your own personal space on your free Sporting Life account where you can create a yard full of talent that means something to you. That way, you can develop your racing knowledge and build a better picture of the races to come. Plus, you also get notifications when anyone in My Stable is due to perform so you never miss a jump – or an opportunity to profit.


Qt Designer Examples
Qt Designer is a capable graphical user interface designer that lets you create and configure forms without writing code. GUIs created with Qt Designer can be compiled into an application or created at run-time.
The following examples illustrate how to create and use Qt Designer forms and how to create Qt Designer custom widget plugins.
Creating a user interface from a Qt Designer form at run-time. | |
Using a form created with Qt Designer in an application. | |
Creating a custom multi-page plugin for Qt Designer. | |
Creating a custom widget plugin for Qt Designer. | |
Creating a custom widget plugin for Qt Designer and providing custom task menu entries that are associated with the plugin. | |
Creating forms with Qt Designer that contain custom widgets that can be dynamically generated at run-time. | |
Creating a custom widget plugin for Qt Designer that uses signals and slots. |


When you work backward from the idea that workers should own rather than fear robots, you end up making different choices.
We started down this path in 2016 after repeated disappointment that the tech industry was hell-bent to replace all workers without even the slightest moral concern.
The idea is built up from a new kind of robot control motor that is a USB 3.1 Type-C Android peripheral.
Plug them into Android and they get data, 100W power and cloud control over the USB cable.
And because they're Android-based, they're inherently mobile, cheap, secure and sensor-rich.
The robot behaviors live in the cloud, are communal and shared through remixing.
Ultra-simple
Inherently cloud-controlled
Inherently communal with effortless remixing just like Scratch
Primarily Javascript (with options for any language)
100% open: software and hardware
Mix-and-match parts that are cheap, and user-reparable
Based on "previous generation smartphones" to keep the cost down and deal with the environmental problem
Durable and rugged
Owned by the community


Class: FSM::FSMState
- Inherits:
-
Object
- Object
- FSM::FSMState
- Defined in:
- lib/barebone-fsm.rb
Overview
FSMState class represents a state of the finite state machine.
Instance Attribute Summary (collapse)
-
- (Object) events
readonly
The events for this state mapped to corresponding event codes.
-
- (Object) state
readonly
The name of the state.
Instance Method Summary (collapse)
-
- (Object) build(&build_block)
(also: #run)
The #build/#run method sets up the events described as DSL code in the build_block.
-
- (Object) event(event_name, &event_block)
Setup or trigger an event.
-
- (FSMState) initialize(state_machine, state_name)
constructor
A new instance of FSMState.
-
- (Object) to_s
A String representation of the FSMState object.
Constructor Details
- (FSMState) initialize(state_machine, state_name)
A new instance of FSMState
52 53 54 55 56 |
# File 'lib/barebone-fsm.rb', line 52 def initialize(state_machine, state_name) @fsm = state_machine @state = state_name @events = {} end |
Instance Attribute Details
- (Object) events (readonly)
The events for this state mapped to corresponding event codes.
46 47 48 |
# File 'lib/barebone-fsm.rb', line 46 def events @events end |
- (Object) state (readonly)
The name of the state.
43 44 45 |
# File 'lib/barebone-fsm.rb', line 43 def state @state end |
Instance Method Details
- (Object) build(&build_block) Also known as: run
The #build/#run method sets up the events described as DSL code in the build_block. Only event method is supported within the build_block with the name of the event and an optional block supplied. The operation for each such line is carried out by the #event method.
136 137 138 |
# File 'lib/barebone-fsm.rb', line 136 def build(&build_block) self.instance_eval &build_block end |
- (Object) event(event_name, &event_block) - (Object) event(events_hash) - (Object) event(event_name)
Setup or trigger an event. It sets up a new event when the event_block is provided or event_name is a Hash map. The event_name is triggered otherwise. If the event is nil or not already setup, then the default event is triggered.
99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 |
# File 'lib/barebone-fsm.rb', line 99 def event(event_name, &event_block) if block_given? then @events[event_name] = event_block elsif event_name.is_a?(Hash) then event_name.each{ |ev, st| @events[ev] = Proc.new{st} } elsif event_name and @events.has_key? event_name then @fsm.event = event_name @fsm.instance_eval &@events[event_name] elsif @events.has_key? :default then @fsm.event = :default @fsm.instance_eval &@events[:default] end end |
- (Object) to_s
A String representation of the FSMState object.
61 62 63 64 65 66 |
# File 'lib/barebone-fsm.rb', line 61 def to_s() @state.to_s + ": [" + @events.keys.map(&:to_s).join(', ') + "]" end |


REST
(using "Spring Web MVC")
Greeter with name (200 OK)
Greeter without name (500 Internal Server Error)
Does not exist (404 Not Found)


Pokemon
An unusual creature with superpowers, living among ordinary people. Pokemon do not talk, but only repeat their name. But at the same time they understand each other. Among the Pokémon, people speaking human can also be found, but they are very rare. Mental types are also able to communicate with a person.


|
setAdaBoost()
|
Create setting for AdaBoost with python DecisionTreeClassifier base estimator |
|
setDecisionTree()
|
Create setting for the scikit-learn 1.0.1 DecisionTree with python |
|
setGradientBoostingMachine()
|
Create setting for gradient boosting machine model using gbm_xgboost implementation |
|
setKNN()
|
Create setting for knn model |
|
setLassoLogisticRegression()
|
Create setting for lasso logistic regression |
|
setMLP()
|
Create setting for neural network model with python |
|
setNaiveBayes()
|
Create setting for naive bayes model with python |
|
setRandomForest()
|
Create setting for random forest model with python (very fast) |
|
setSVM()
|
Create setting for the python sklearn SVM (SVC function) |
|
plotPlp()
|
Plot all the PatientLevelPrediction plots |
|
plotSparseRoc()
|
Plot the ROC curve using the sparse thresholdSummary data frame |
|
plotSmoothCalibration()
|
Plot the smooth calibration as detailed in Calster et al. "A calibration heirarchy for risk models
was defined: from utopia to empirical data" (2016) |
|
plotSparseCalibration()
|
Plot the calibration |
|
plotSparseCalibration2()
|
Plot the conventional calibration |
|
plotDemographicSummary()
|
Plot the Observed vs. expected incidence, by age and gender |
|
plotF1Measure()
|
Plot the F1 measure efficiency frontier using the sparse thresholdSummary data frame |
|
plotGeneralizability()
|
Plot the train/test generalizability diagnostic |
|
plotPrecisionRecall()
|
Plot the precision-recall curve using the sparse thresholdSummary data frame |
|
plotPredictedPDF()
|
Plot the Predicted probability density function, showing prediction overlap between true and false cases |
|
plotPreferencePDF()
|
Plot the preference score probability density function, showing prediction overlap between true and false cases
#' |
|
plotPredictionDistribution()
|
Plot the side-by-side boxplots of prediction distribution, by class#' |
|
plotVariableScatterplot()
|
Plot the variable importance scatterplot |


Regular cells
Regular cell 1
Regular cell 2
Regular cell 3
Regular cell 4
Regular cell 5
Regular cell 6
Regular cell 7
Regular cell 8
Regular cell 9
Regular cell a
Regular cell b
Regular cell c
Breakpointed cells
Breakpointed cell
Breakpointed cell
Breakpointed cell
Breakpointed cell
Breakpointed cell
Breakpointed cell
Breakpointed cell
Breakpointed cell
Breakpointed cell
Breakpointed cell
Breakpointed cell
Breakpointed cell


PhoneProfilesPlus Changelog
Version: 3.6.4
- Added "Power manager" into "Settings"→"System".
- Added 30 minutes into "Screen timeout" profile preference.
- Added "Grant root" into "Settings"→"Permissions".
- Added "All calendar events" into event sensor "Calendar sensor".
- Added "Alarm clock sensor" into event.
- Updated translations.
- Fixed bugs.
Full changelog in GitHub


If you have questions about RTB4FREE or need help setting it up, please send us an email. We would love to assist you
We also provide contracted assistance to help you integrate RTB4FREE into your infrastructure. We also have considerable experience configuring and running RTB systems and are familiar with the Big Data aspects of programmatic buying
RTB4FREE
3820 Del Amo Blvd #226
Torrance, CA 90503
Phone:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>


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Dynamic browser searching a yanked text in VIM from a vagrant box
I hate to use the mouse.  I’ve invested some time in the last two years to get my hands as far away from the mouse as possible. Even more than slowing me down, the movement from keyboard to mouse and back to the keyboard can be harmful to my wrists, but it is another story.
Resizing splits
One of the things I most like in VIM is the easy way to split its environment. Using VIM splits + ctrlP + tMux makes me a lot more productive.
Lein Ring Server running in the background
I’ve been working on a study case that has as a main target to run two different servers at the same time - one for the backend and the other for the frontend. front-back-case.
Cross Origin Resource Sharing in Sinatra (ruby) and Ring (clojure) - CORS
Few weeks ago I started thinking about the idea of bigger layers of separation between the frontend and the backend. In my perfect world, I would create a project that would rely 100% of its dynamic content in an API that would have only one goal: talk to the database and return a JSON.
How to list all files larger/smaller than certain size
If you want to list all flac files smaller than 12mb:
How to set your unix default editor
I can’t count how many times in the past I had troubles with unix complaining I don’t have a default editor.
Saving time and avoiding keystrokes
Our brains are incredibly fast, as well as our computers. We should not decrease this speed, with our slow fingers or too many keystrokes. It is important to avoid unnecessary typing.


Call our 24-hour Helpline for immediate attention to medical emergencies.
Primary care isn’t just about getting treatment when you’re sick; it’s about taking control of your overall health and wellness. Building a relationship with a primary care doctor keeps you proactive about your health. Primary care physicians can detect and treat a variety of conditions, from chronic or infectious diseases to mental health problems. Their medical expertise and devotion to good health and prevention provides a well-rounded approach to healthcare.


BUFFY THE VAMPIRE SLAYER A review in the public domain by The Phantom<EMAIL_ADDRESS>It's nice when a film lives up to its title, as far too many these days do not. In part this is due to the endless tide of sequels Hollywood's long-suffering audiences have been subjected to; after all, what is it about pedestrian titles like BATMAN RETURNS that might raise our spirits?  The answer is that they don't, for although everyone loves a clever title (and an even more clever film to back it up), they are sadly few and far between. (With DIE HARD 2, people took matters into their own hands and redubbed it DIE HARDER, which is both more appropriate and rather more clever than the film itself.)
BUFFY THE VAMPIRE SLAYER, however, has little to worry about in this department. Though we'll be treated to one or two other well-thought-out titles (WHITE MEN CAN'T JUMP and DePalma's upcoming RAISING CAIN come to mind) before year's end, BUFFY -- more than any other film in recent months -- works hard to capture our interest even before the theater lights dim. Its title conjures up all sorts of intriguing possibilities, and it's impossible to think of it without becoming at least moderately interested in seeing the film.
The question, of course, is what happens *after* the theater lights dim. In the case of BUFFY, we are again pleasantly surprised to find that unlike many films this year, BUFFY is truly a smile. By this, the Phantom means that at any point during the film, you'll likely find yourself smiling at something, if not outright laughing out loud at some bit of cleverness, a throwaway line, a delightfully incongruous scene. And you won't be alone -- look around you and you'll see that most of the rest of the audience is smiling as well. There aren't many films that can produce this reaction -- this involuntary smiling -- but BUFFY does, and does quite often. And that's worth a lot in this season of expensive frowns, this dismal summer season of more-of-the-same action films and tame high-concept comedies that are worrying studios and video dealers alike. For after all, although people are still going to the movies, they are with few exceptions going with little enthusiasm and low expectations. How else to explain the generally positive response to the anachronistic LETHAL WEAPON 3? The overwhelmingly positive notices that BATMAN RETURNS has garnered, even though that film suffers from one of the worst cases of sequelitis in recent memory? (BATMAN RETURNS comes to vibrant life just once when Michelle Pfeiffer transforms herself for the first time into Catwoman. The rest of the time we get an awful lot of high-budget wheel-spinning in traditional, grand, LETHAL WEAPON style.)
In the Phantom's opinion, the problem with this summer's crop of films is that there are too many dollars chasing too few smiles (if the Phantom may be permitted to appropriate a term traditionally used in economics, a subject that is itself the root cause of much moviegoer misery these past few months). Extraordinary amounts of money have been spent on exceedingly tired comedies like MO' MONEY, comedies that are at best sporadically funny but much more frequently horrifyingly bad, filled with unnecessary violence and misogyny and bereft of any ability to make their audiences feel good for 90 minutes (which is, after all, all a Hollywood film has to do to be considered successful; these films are for the most part not being made for the ages, unless Hollywood has redefined "the ages" to mean six months down the road when the film hits Blockbusters).
BUFFY, though, looks like it's had someone's time -- rather than money -- lavished on it, and as a result we find few expensive special effects, no high-rent actors, and -- surprise of all surprises -- a shockingly literate script. As Joe Eszterhas so ably proved with his overpriced and very bad screenplay for BASIC INSTINCT, more money doesn't always buy better dialogue or non-intelligence-insulting situations; instead, BUFFY's screenplay delights and amuses us at every turn, whether it's presenting Buffy to us for the first time, giving us a glimpse of an exceedingly dysfunctional basketball coach's motivational techniques, or letting us enjoy Paul Reuben's antics as the least likely vampire to grace the silver screen in years. Best of all, just when we begin to feel that the film has left us stranded in smile heaven in order to set up a superfluous action or love scene, BUFFY's screenplay comes to our rescue once again; and as we leave the theater, what crosses all of our minds, what surprises us and encourages us, what makes us shake our heads in disbelief is this: BUFFY never lets us down. It is a film that is consistently entertaining, one that never tries to flimflam us with gore or special effects, and one that moves confidently at its own pace, secure in the knowledge that its audience will be right behind it, smiling all the time and hoping for more.
Its story couldn't be more simple: Buffy, you see, is our generation's Official Vampire Slayer, and as such it falls to her to take care of the growing vampire menace in her sunny, Southern Californian home town (to demonstrate this, the film gives us a glimpse of Buffy in a prior life, back before there were malls). Donald Sutherland is reborn each generation as the vampire slayer's tutor, sidekick and kick-boxing coach (Buffy may be able to lead a cheer, but as an Official Vampire Slayer, she requires a fair amount of assertiveness training); his job is to convince her that her destiny lies not in cheering the basketball team on to victory but in pounding wooden stakes through people's hearts -- a tough job, but someone's got to do it.
On hand as well are Paul Reubens and Rutger Hauer, who handles his light comic role as well has he's handled the large-caliber automatic weapons he's co-starred with in the past (the Phantom will even go so far as to forgive him for SPLIT SECOND, the only Rutger Hauer-with-a-shotgun film that was almost perfectly unentertaining). Hauer plays Lothos, the head of Vampires Local 54, who directs Paul Reuben's actions and spends most of the film waiting for his climactic confrontation with Buffy. He looks suitably creepy most of the time, though he stops well short of causing the audience's skin to crawl (as he did in incomparable horror film THE HITCHER); this is just as well, since BUFFY is a comedy first and foremost and a horror spoof only as an afterthought. In this, it's a bit different than FRIGHT NIGHT, RETURN OF THE LIVING DEAD, EVIL DEAD 2, NIGHT OF THE CREEPS, AN AMERICAN WEREWOLF IN LONDON and countless other (and lesser) horror spoofs, but it's as fun and entertaining as the best of them (the Phantom was particularly reminded of Tom Holland's wonderful FRIGHT NIGHT, which is a must-see for phans of horror-comedies).
Paul Reubens seems to be having a marvelously malevolent time as Lothos' Renfield and executive assistant; he also mugs up a storm in a death scene to end all death scenes, and frighteningly enough, in a few scenes he actually comes to resemble his police mug shots -- surely a sign that he's perfected the look of the living dead.
Kristy Swanson as Buffy takes command of the film early on and doesn't relinquish it to Luke Perry's mugging, Paul Reuben's antics, or any number of surprisingly funny actors in bit parts throughout the film (including Mark DeCarlo as a coach who's spent too much time reading self-help books and Candy Clark as Buffy's even-more-airheaded mother). She remains the focus of attention, and her transformation from Valley Girl to Vampire Slayer is carried off nearly without a hitch (though the film almost loses its way once Buffy discovers her more serious and responsible side, Swanson keeps the proceedings on track until the screenplay can toss another throwaway line or two our way).
Director Fran Rubel Kuzui (with a name like that, you know you're in for a comic treat -- Ms. Kuzui's name sounds like a clown sneezing) keeps the film rolling along to its somewhat predictable conclusion, and although it is not entirely funny nor even very original for every one of its 98 minutes, it is funny and original enough for this summer. BUFFY is well worth a look now while people are talking about it and while its many throwaway comic lines are fresh in people's minds. For BUFFY passes the hardest test of a good comedy: it's still funny well after you've left the theater, and any two people who've seen it can amuse themselves for a good long while by recalling the best of the film's dialogue, the funniest of its situations, and the overall good feeling it left them with. For even greater effect, see the embarrassingly bad MO' MONEY first, if only so that you can fully appreciate what it is that BUFFY's filmmakers have done -- and have not done. No gore, no violence, no car chases, no explosions, no misogyny, no pumping soundtrack; instead, BUFFY lets us smile beatifically for 98 minutes. And for the Phantom, that's worth $7.50 any day.
: The Phantom<EMAIL_ADDRESS>: cmcl2!panix!sbb
.
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


Schedule
Channel Setup
System Settings
Firmware Update
__:__:__ __
Schedule
Add Time
Channel Setup
System Settings
Hostname
Timezone (POSIX)
NTP Server 1
NTP Server 2
Hostname requires a reboot to take effect.
Backup
Restore


This report is divided into three major sections displaying data and visualizations regarding COVID-19. All tables and visualizations are made possible with data generously provided by The COVID Tracking Project.* All data is published under a Creative Commons CC BY-NC-4.0 license. Please note that the Data API uses multiple sources in its data collection for each state. Each state has its own set of caveats, and they can be found here.
The first section is aimed at the United States as a whole. It contains information about new daily cases, overall confirmed cases, and the number of individuals who have been tested.
The second section is a comparison of all states with schools in the NCAA Southeastern Conference (SEC). This section can be used to help showcase the current state of COVID-19 in the southeastern United States.
The third section shows information about each state in the SEC individually. Included here is an additional set of charts showing the daily increases of the counties in which the SEC schools are located. These charts help give a hyper-local view of COVID-19.
*Data for individual state counties was not available via the Data API and was manually curated from multiple online sources.
This type of plot shows the number of new confirmed cases each day. A line with a level or negative slope can indicate that the rate of spread is either being managed or slowed. Since the number of new cases can vary from day to day due to reporting deficiencies both a 14 day and 30 day moving average are charted to help reduce noise, or the choppiness, of the data.
This type of plot shows the total number of confirmed cases over time. This line will plateau once the virus is no longer spreading.
A moving average is an indicator used in technical analysis to help smooth out "noise" from a chart with short-term fluctuations. It is considered a trend following, or lagging, indicator because it is based on past prices. However, a combination or short and long term moving averages are often used to help predict, but not guarantee, where a chart will head.
The accuracy of the data in this document can only be as accurate as its source. The COVID Tracking Project has rated the accuracy of all states and territories they provide through their Data API. With the exception of Arkansas (C rating), all states used in this document were rated at least B, with many rated as A+.
1,567,427
88,985
13,056,206
0.04% of population
8,167
376
158,672
0.04% of population
13,119
529
170,739
0.04% of population
18,961
313
360,583
0.05% of population
36,504
2,629
305,381
0.07% of population
48,675
2,222
813,929
0.04% of population
11,340
661
162,092
0.03% of population
402
10
39,545
0.01% of population
40,405
1,754
407,731
0.04% of population
53,510
5,219
454,740
0.15% of population
9,175
407
138,238
0.03% of population
51,323
1,419
770,241
0.03% of population


Running tests with kunit_tool¶
We can either run KUnit tests using kunit_tool or can run tests manually, and then use kunit_tool to parse the results. To run tests manually, see: Documentation/dev-tools/kunit/run_manual.rst. As long as we can build the kernel, we can run KUnit.
kunit_tool is a Python script which configures and builds a kernel, runs tests, and formats the test results.
Run command:
./tools/testing/kunit/kunit.py run
We should see the following:
Configuring KUnit Kernel ...
Building KUnit kernel...
Starting KUnit kernel...
We may want to use the following options:
./tools/testing/kunit/kunit.py run --timeout=30 --jobs=`nproc --all`
--timeout
sets a maximum amount of time for tests to run.--jobs
sets the number of threads to build the kernel.
kunit_tool will generate a .kunitconfig
with a default
configuration, if no other .kunitconfig
file exists
(in the build directory). In addition, it verifies that the
generated .config
file contains the CONFIG
options in the
.kunitconfig
.
It is also possible to pass a separate .kunitconfig
fragment to
kunit_tool. This is useful if we have several different groups of
tests we want to run independently, or if we want to use pre-defined
test configs for certain subsystems.
To use a different .kunitconfig
file (such as one
provided to test a particular subsystem), pass it as an option:
./tools/testing/kunit/kunit.py run --kunitconfig=fs/ext4/.kunitconfig
To view kunit_tool flags (optional command-line arguments), run:
./tools/testing/kunit/kunit.py run --help
Creating a .kunitconfig
file¶
If we want to run a specific set of tests (rather than those listed
in the KUnit defconfig
), we can provide Kconfig options in the
.kunitconfig
file. For default .kunitconfig, see:
https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/tree/tools/testing/kunit/configs/default.config.
A .kunitconfig
is a minconfig
(a .config
generated by running make savedefconfig
), used for running a
specific set of tests. This file contains the regular Kernel configs
with specific test targets. The .kunitconfig
also
contains any other config options required by the tests (For example:
dependencies for features under tests, configs that enable/disable
certain code blocks, arch configs and so on).
To create a .kunitconfig
, using the KUnit defconfig
:
cd $PATH_TO_LINUX_REPO
cp tools/testing/kunit/configs/default.config .kunit/.kunitconfig
We can then add any other Kconfig options. For example:
CONFIG_LIST_KUNIT_TEST=y
kunit_tool ensures that all config options in .kunitconfig
are
set in the kernel .config
before running the tests. It warns if we
have not included the options dependencies.
Note
Removing something from the .kunitconfig
will
not rebuild the .config file
. The configuration is only
updated if the .kunitconfig
is not a subset of .config
.
This means that we can use other tools
(For example: make menuconfig
) to adjust other config options.
The build dir needs to be set for make menuconfig
to
work, therefore by default use make O=.kunit menuconfig
.
Configuring, building, and running tests¶
If we want to make manual changes to the KUnit build process, we
can run part of the KUnit build process independently.
When running kunit_tool, from a .kunitconfig
, we can generate a
.config
by using the config
argument:
./tools/testing/kunit/kunit.py config
To build a KUnit kernel from the current .config
, we can use the
build
argument:
./tools/testing/kunit/kunit.py build
If we already have built UML kernel with built-in KUnit tests, we
can run the kernel, and display the test results with the exec
argument:
./tools/testing/kunit/kunit.py exec
The run
command discussed in section: Running tests with kunit_tool,
is equivalent to running the above three commands in sequence.
Parsing test results¶
KUnit tests output displays results in TAP (Test Anything Protocol)
format. When running tests, kunit_tool parses this output and prints
a summary. To see the raw test results in TAP format, we can pass the
--raw_output
argument:
./tools/testing/kunit/kunit.py run --raw_output
If we have KUnit results in the raw TAP format, we can parse them and
print the human-readable summary with the parse
command for
kunit_tool. This accepts a filename for an argument, or will read from
standard input.
# Reading from a file
./tools/testing/kunit/kunit.py parse /var/log/dmesg
# Reading from stdin
dmesg | ./tools/testing/kunit/kunit.py parse
Filtering tests¶
By passing a bash style glob filter to the exec
or run
commands, we can run a subset of the tests built into a kernel . For
example: if we only want to run KUnit resource tests, use:
./tools/testing/kunit/kunit.py run 'kunit-resource*'
This uses the standard glob format with wildcard characters.
Running tests on QEMU¶
kunit_tool supports running tests on qemu as well as via UML. To run tests on qemu, by default it requires two flags:
--arch
: Selects a configs collection (Kconfig, qemu config options and so on), that allow KUnit tests to be run on the specified architecture in a minimal way. The architecture argument is same as the option name passed to theARCH
variable used by Kbuild. Not all architectures currently support this flag, but we can use--qemu_config
to handle it. Ifum
is passed (or this flag is ignored), the tests will run via UML. Non-UML architectures, for example: i386, x86_64, arm and so on; run on qemu.--cross_compile
: Specifies the Kbuild toolchain. It passes the same argument as passed to theCROSS_COMPILE
variable used by Kbuild. As a reminder, this will be the prefix for the toolchain binaries such as GCC. For example:sparc64-linux-gnu
if we have the sparc toolchain installed on our system.$HOME/toolchains/microblaze/gcc-9.2.0-nolibc/microblaze-linux/bin/microblaze-linux
if we have downloaded the microblaze toolchain from the 0-day website to a directory in our home directory called toolchains.
This means that for most architectures, running under qemu is as simple as:
./tools/testing/kunit/kunit.py run --arch=x86_64
When cross-compiling, we'll likely need to specify a different toolchain, for example:
./tools/testing/kunit/kunit.py run \
--arch=s390 \
--cross_compile=s390x-linux-gnu-
If we want to run KUnit tests on an architecture not supported by
the --arch
flag, or want to run KUnit tests on qemu using a
non-default configuration; then we can write our own``QemuConfig``.
These QemuConfigs
are written in Python. They have an import line
from..qemu_config import QemuArchParams
at the top of the file.
The file must contain a variable called QEMU_ARCH
that has an
instance of QemuArchParams
assigned to it. See example in:
tools/testing/kunit/qemu_configs/x86_64.py
.
Once we have a QemuConfig
, we can pass it into kunit_tool,
using the --qemu_config
flag. When used, this flag replaces the
--arch
flag. For example: using
tools/testing/kunit/qemu_configs/x86_64.py
, the invocation appear
as
./tools/testing/kunit/kunit.py run \
--timeout=60 \
--jobs=12 \
--qemu_config=./tools/testing/kunit/qemu_configs/x86_64.py
Running command-line arguments¶
kunit_tool has a number of other command-line arguments which can be useful for our test environment. Below are the most commonly used command line arguments:
--help
: Lists all available options. To list common options, place--help
before the command. To list options specific to that command, place--help
after the command.Note
Different commands (
config
,build
,run
, etc) have different supported options.--build_dir
: Specifies kunit_tool build directory. It includes the.kunitconfig
,.config
files and compiled kernel.--make_options
: Specifies additional options to pass to make, when compiling a kernel (usingbuild
orrun
commands). For example: to enable compiler warnings, we can pass--make_options W=1
.--alltests
: Enable a predefined set of options in order to build as many tests as possible.Note
The list of enabled options can be found in
tools/testing/kunit/configs/all_tests.config
.If you only want to enable all tests with otherwise satisfied dependencies, instead add
CONFIG_KUNIT_ALL_TESTS=y
to your.kunitconfig
.--kunitconfig
: Specifies the path or the directory of the.kunitconfig
file. For example:lib/kunit/.kunitconfig
can be the path of the file.lib/kunit
can be the directory in which the file is located.
This file is used to build and run with a predefined set of tests and their dependencies. For example, to run tests for a given subsystem.
--kconfig_add
: Specifies additional configuration options to be appended to the.kunitconfig
file. For example:./tools/testing/kunit/kunit.py run --kconfig_add CONFIG_KASAN=y
--arch
: Runs tests on the specified architecture. The architecture argument is same as the Kbuild ARCH environment variable. For example, i386, x86_64, arm, um, etc. Non-UML architectures run on qemu. Default is um.--cross_compile
: Specifies the Kbuild toolchain. It passes the same argument as passed to theCROSS_COMPILE
variable used by Kbuild. This will be the prefix for the toolchain binaries such as GCC. For example:sparc64-linux-gnu-
if we have the sparc toolchain installed on our system.$HOME/toolchains/microblaze/gcc-9.2.0-nolibc/microblaze-linux/bin/microblaze-linux
if we have downloaded the microblaze toolchain from the 0-day website to a specified path in our home directory called toolchains.
--qemu_config
: Specifies the path to a file containing a custom qemu architecture definition. This should be a python file containing a QemuArchParams object.--qemu_args
: Specifies additional qemu arguments, for example,-smp 8
.--jobs
: Specifies the number of jobs (commands) to run simultaneously. By default, this is set to the number of cores on your system.--timeout
: Specifies the maximum number of seconds allowed for all tests to run. This does not include the time taken to build the tests.--kernel_args
: Specifies additional kernel command-line arguments. May be repeated.--run_isolated
: If set, boots the kernel for each individual suite/test. This is useful for debugging a non-hermetic test, one that might pass/fail based on what ran before it.--raw_output
: If set, generates unformatted output from kernel. Possible options are:all
: To view the full kernel output, use--raw_output=all
.kunit
: This is the default option and filters to KUnit output. Use--raw_output
or--raw_output=kunit
.
--json
: If set, stores the test results in a JSON format and prints to stdout or saves to a file if a filename is specified.


public interface IDynXmlObject
In practice, an application using these objects would instantiate and read the object and then query what interfaces the object supports (what capabilities the object possesses).
DynXmlObjLoader
| Modifier and Type | Method and Description |
|---|---|
void |
loadFromXml(@NotNull org.w3c.dom.Element xmlElement,
java.util.LinkedList<INamedObject> refObjectList)
Loads this object from an XML DOM Document element.
|
void |
toChildXmlElement(@NotNull org.w3c.dom.Element parentEl)
Add this object as a <DynamicallyLoadedObject> DOM element that is a child of some parent element.
|
void loadFromXml(@NotNull @NotNull org.w3c.dom.Element xmlElement, java.util.LinkedList<INamedObject> refObjectList) throws DynXmlObjParseException
DynXmlObjLoader
has
parsed the element and attributes to determine that this is a dynamically loaded object, found
and instantiated the class, and is now sending the node to the object so it can initialize
itself based on the contents of the node.xmlElement
- The dynamically loaded object DOM Document element.refObjectList
- A linked list if named objects (implementing the INamedObject
interface)
that have already been loaded and can be used to resolve object references.DynXmlObjParseException
- Thrown if there was an error parsing the object. If this exception is
thrown it should be assumed that this object was incorrectly initialized,
is invalid, and should not be used in any further operations.void toChildXmlElement(@NotNull @NotNull org.w3c.dom.Element parentEl)
parentEl
- The parent element.


terminus-ui/src/table/table.module.ts
Much of this was lifted directly from Angular Material. I highly recommend checking out their source code: https://github.com/angular/material2/tree/master/src/lib/table
import { NgModule } from '@angular/core';
import { CommonModule } from '@angular/common';
import { CdkTableModule } from '@angular/cdk/table';
import { TsSortModule } from './../sort/sort.module';
import { TsPaginatorModule } from './../paginator/paginator.module';
import {
TsCellDirective,
TsCellDefDirective,
TsColumnDefDirective,
TsHeaderCellDirective,
TsHeaderCellDefDirective,
} from './cell';
import {
TsHeaderRowComponent,
TsHeaderRowDefDirective,
TsRowComponent,
TsRowDefDirective,
} from './row';
import { TsTableComponent } from './table.component';
export * from './table-data-source';
export * from './cell';
export * from './row';
export * from './table.component';
export * from './../sort/sort.module';
/**
* Much of this was lifted directly from Angular Material. I highly recommend checking out their
* source code: https://github.com/angular/material2/tree/master/src/lib/table
*/
@NgModule({
imports: [
CommonModule,
CdkTableModule,
TsSortModule,
TsPaginatorModule,
],
declarations: [
TsCellDefDirective,
TsCellDirective,
TsColumnDefDirective,
TsHeaderCellDefDirective,
TsHeaderCellDirective,
TsHeaderRowComponent,
TsHeaderRowDefDirective,
TsRowComponent,
TsRowDefDirective,
TsTableComponent,
],
exports: [
TsCellDefDirective,
TsCellDirective,
TsColumnDefDirective,
TsHeaderCellDefDirective,
TsHeaderCellDirective,
TsHeaderRowComponent,
TsHeaderRowDefDirective,
TsRowComponent,
TsRowDefDirective,
TsTableComponent,
],
})
export class TsTableModule {}


Students hold memories close to their hearts, from time spent with friends and family to getting to create new experiences that will stay in the back of their minds as the Fall Semester rapidly approaches.
Summer may soon be over, but students will be able to remember these moments far beyond the start of autumn.
Bella Lonsway, a junior studying psychology, said she was lucky enough to have been able to travel to Hawaii and Columbia this summer. She said she had not been out of the United States in quite some time, so being able to travel to Columbia was a unique experience. Additionally, she spent time with her best friend in Hawaii and celebrated her 20th birthday there, both memories she would never forget.
“It was crazy,” she said. “Just a lot of cool cultural things to experience and amazing food, amazing scenery.”
She said her favorite memories from Hawaii included being able to go snorkeling, going to a luau, a Hawaiian feast, and visiting the site of Pearl Harbor. Lonsway said on the other hand, her trip to Colombia was much shorter because she only visited for her step-cousin’s wedding, but she loved immersing herself in the culture even just for a couple of days.
Lonsway said although she is excited to get back to Athens, she will miss the experiences she had this summer and her friends from home during the school year.
“I’ll definitely always remember these trips because they were big ones,” she said. “I guess in terms of my friends at home, they’ll always be on my mind. As much as I do have my community in Athens, it is always hard leaving home and leaving the place you grew up.”
Addie Collard, a sophomore studying theater, said this summer she worked as a host at her local Cuban restaurant. She said she was also lucky enough to see three large-scale concerts including Noah Kahan, Ed Sheeran and Taylor Swift.
She said her favorite concert by far was going to see Taylor Swift and she was very excited when Swift performed “I’m Only Me When I'm With You” as a surprise song because it is one of her favorites.
She said although she will miss summer, she is ready to get back to Athens and create new memories at school.
“I’m definitely really excited to go back to school,” she said. “I'll miss the summer but I will definitely keep the memories with me. I’m also excited to make new memories because I know I carried my memories from my first year with me over the summer so I’m excited to keep the cycle going.”
Hassa Abdullahi, a freshman studying business pre-law as well as sociology and criminology, said her summer before leaving for college was spent trying to cross off bucket list items and spending time with the people she loves most.
She said one of her favorite memories of summer was right before graduation when her friends held a big bonfire and burned all of the notebooks and homework assignments they had been working on that year.
“We had marshmallows and s'mores and it was such a core memory for me because it was one of the last times that that specific group could get together and hang out together before everybody graduated,” she said.
She said other memories included going to the Ohio State Fair and visiting her old elementary school to talk to 6th graders about the future.
“Being able to reconnect with a part of my past that I didn't think that I had any connection to anymore, and then to also talk to younger kids about things that I'm going through right now, like college … and answering their questions about that was just so fulfilling and really wholesome,” she said.
It has been another successful summer for the Bobcats. While the ending is sure to be bittersweet, there are plenty of memories to hold onto and so many more to look forward to this school year.


Progress
Documentation and examples for using Bootstrap custom progress bars featuring support for stacked bars, animated backgrounds, and text labels.
Progress components are built with two HTML elements, some CSS to set the width, and a few attributes. We don’t use the HTML5 <progress>
element, ensuring you can stack progress bars, animate them, and place text labels over them.
- We use the
.progress
as a wrapper to indicate the max value of the progress bar. - We use the inner
.progress-bar
to indicate the progress so far. - The
.progress-bar
requires an inline style, utility class, or custom CSS to set their width. - The
.progress-bar
also requires some role and aria attributes to make it accessible.
Demo
Labels
Add labels to your progress bars by placing text within the .progress-bar
.
Height
We only set a height
value on the .progress
, so if you change that value the inner .progress-bar
will automatically resize accordingly.
Backgrounds
Use background utility classes to change the appearance of individual progress bars.
Animated
The striped gradient can also be animated. Add .progress-bar-animated
to .progress-bar
to animate the stripes right to left via CSS3 animations.


| Code | LedgerName | Desciption | Opening Balance | Opening Balance Type | Is Active | Is Cost Center Applicable | |||
|---|---|---|---|---|---|---|---|---|---|
| {{i+1}} | {{itm.Code}} |
|
|
|
| Supplier | Ledger Code | Ledger Name | Description | Opening Balance | Opening Balance Type | Active | TDS Percent | PANNo | Address | Mobile No. | Landline No. | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Department | EmployeeName | Ledger Code | Ledger Name | Description | Opening Balance | Opening Balance Type | Active | TDS Percent | PANNo | Address | Mobile No. | Landline No. | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Serivce Department Name | Item Name | Ledger Code | Ledger Name | Description | Opening Balance | Opening Balance Type | Active | TDS Percent | PANNo | Address | Mobile No. | Landline No. | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OrganizationName | Ledger Code | Ledger Name | Description | Opening Balance | Opening Balance Type | Active | TDS Percent | PANNo | Address | Mobile No. | Landline No. | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| VendorName | Ledger Code | Ledger Name | Description | Opening Balance | Opening Balance Type | Active | TDS Percent | PANNo | Address | Mobile No. | Landline No. | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Subcategory Name | Ledger Code | Ledger Name | Description | Opening Balance | Opening Balance Type | Active | TDS Percent | PANNo | Address | Mobile No. | Landline No. | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|


NODESCHOOL
Open source workshops that teach web software skills. Do them on your own or at a workshop nearby.


Synopsis: For decades, humanity has traveled to neighboring solar systems, in search of sentient life and a habitable world. Although technology has allowed for prolonged life, fit for space travel, society crumbles on Earth as resources deplete. In desperate pursuit of a new world, a select few every five years become augmented and travel to prospective planets, never to return.  Further exploration of this mysterious world unveils an anomaly amidst the barren landscape; a standing castle resembling medieval architecture of your old world.
Sanctum Breach is a Unity based top down action game programmed in C#. A small team of four developed this game, led by yours truly! It was a pretty ambitious first project, involving Enemy AI, creating a tile editor, and a variety of levels, bosses, and traps. As project leader, I was involved in programming, sound, art, design, etc. I also had to teach my team members how to use Unity as I was the only one with experience at the time. Overall, it was a great experience, and I learned a lot about programming, leadership, and project management.
You can check out our GitHub repository here!
Skills used: Unity, C#, Adobe Photoshop


# open the .Renviron file
::edit_r_environ() usethis
Using GPT for writing in R Studio
Preamble
I do most of my writing inside RStudio using Quarto documents. This means most of my documents are plain text using a combo of markdown and R code chunks that I export to multiple formats like this blog.
I’ve been curious about using LLMs as an everyday writing assistant for a while. I’ve occasionally used the OpenAI playground and ChatGPT to give editorial suggestions about my writing, but I found the experience of bouncing in and out of my main writing environment too clunky.
This semester notion.so became another writing environment that I used heavily (also markdown-ish), and I tried their in-app AI writing assist for a hot second. But, they wanted $10 a month, and I didn’t want to pay them.
However, the in-app AI assist experience with notion was not clunky. Just highlight some text, right click, and then select variously useful AI editor prompts to do thinks like: line edit for clarity, expand bullet points to paragraph, convert paragraph to bullet points, generative writing, etc.
After a bit of messing around yesterday, it became clear that it wouldn’t be too hard to write addins for RStudio to interface with the OpenAI API, and achieve some kind of in-app writing assistant situation while I’m writing in Quarto.
This post is me doing that along with laying down some breadcrumbs so my future self can remember what I did here.
What you’ll need
An OpenAI account that allows you to create a secret key to access the API service.
R Studio with Quarto (comes with the latest version)
I’m using the openai R library by Iegor Rudnytskyi, which wraps the API for R and makes sending inputs and receiving outputs very easy.
Pricing
I haven’t crunched the numbers too much yet. You can check out the pricing model here https://openai.com/pricing.
My napkin calculator says this should be cheaper than $10/month on notion. Currently, the gpt-3.5-turbo model is $0.002 for 1,000 tokens (about 750 words). It would take 5,000 interactions that use up 1,000 tokens each to get to $10 a month. That’s about 750 words times 5000, or 3,750,000 words… or, way more words than I type monthly. Plus, it’s all pay as you go, and it is possible to set spending limits if you don’t want to go over some amount. Bottom line, cheaper than notion and more customizable.
NOTE: The day is done and combined with this post and another one where I sent a whole bunch of requests and used many a token, the cost for all of this heavy personal activity was $0.05.
There are other costs to consider, such as whether or not you want to send your words to OpenAI.
Basic workflow
Setting up the API keys
- Create a secret key in openai, copy it and put it somewhere safe. Don’t share it.
- The
openai
R library looks for an environment variable calledOPENAI_API_KEY
, which can be set a number of ways.
My goal is to create addins for RStudio to use while I’m writing. I don’t want to input an API key everytime I use the addin, or disclose it in a public repository. There are different strategies for managing environment variables, and this is a helpful guide by posit.
My strategy was to add a key-value pair directly to the .Renviron
file at the user level.
Then edit the file to add the new key-value pair, and restart R.
# add new environment variable to above and save
=XXXXXXXXXXXXX OPENAI_API_KEY
After you restart R, you can check if R recognizes the new environment variable:
Sys.getenv("OPENAI_API_KEY")
Test the API
If everything is working it should be possible to send prompts to OpenAI and return outputs.
library(openai)
<- create_completion(
gpt model = "ada",
prompt = "Explain what is larger a pumpkin or a dinosaur?"
)
The result is an R list object with the output and other info like the number of tokens used.
$id
[1] "cmpl-7OnnSJ0QgpVF4a86qKYmSWgSvAiym"
$object
[1] "text_completion"
$created
[1]<PHONE_NUMBER>
$model
[1] "ada"
$choices
text index logprobs finish_reason
1 \n\nAnswer: I don't know of an easy way to express it. 0 NA length
$usage
$usage$prompt_tokens
[1] 11
$usage$completion_tokens
[1] 16
$usage$total_tokens [1] 27
Writing addins for R Studio
The next step is to write custom addins for RStudio, which is documented here. RStudio addins are available from a dropdown menu and/or triggered by hot-key macros.
The steps for writing addins are:
- Make a new R package project
- Write functions as you normally would do in the R folder
- Register the functions as addins using a .dcf file placed in
inst/rstudio/addins.dcf
- Install the R package
- The addins should now be available for use.
My goal is to start by writing an addin that can take highlighted text in the RStudio editor, send it to openai, and return an output that would do something useful like improving the writing for clarity, flow, and length.
gptaddin
I went ahead and created an R package called gptaddin
. It has one working function (as of right now).
Repo: https://github.com/CrumpLab/gptaddin
pkgdown website: https://crumplab.com/gptaddin/
I’m sharing this in case the development process is useful for other people to make something similar for themselves.
line_editor()
The first function I wrote is a basic line editor. I wanted to be able to highlight text within RStudio and send it to an LLM for clarity, flow, and length suggestions.
 Your task is to edit the content you receive for improved clarity, flow, and reduced word count."
),list(
"role" = "user",
"content" = selected_text$value
)
)
)
# print the results to the console
print(gpt$choices$message.content)
}
This function is located in R/addins.R
, and it is registered as an addin in inst/rstudio/addins.dcf
. The registration text looks like:
Name: line_editor
Description: openai edits text for clarity, flow, and brevity
Binding: line_editor Interactive: false
With the package installed, I can now see line_editor()
in the dropdown menu for Addins in Rstudio. When I select text and run the addin, I get edits suggested by gpt-3.5-turbo printed to the console. For example, I will take the text in this paragraph and run the addin.
“Upon installing the package, line_editor()
now appears in the Addins dropdown menu in Rstudio. Selecting text and running the addin produces suggested edits from gpt-3.5-turbo, which are then printed to the console. For instance, I can utilize this addin to edit the text within this paragraph.”
This seems to work. I guess I should add a message in the console so that it looks like something is happening…Added.
points_to_prose()
The purpose of this writing aid is to take a series of point form statements and transform them into prose.
<- function(){
points_to_prose
# get selected text
<- rstudioapi::selectionGet()
selected_text
message("Submitting query...")
# run the api call to openai
<- openai::create_chat_completion(
gpt model = "gpt-3.5-turbo",
messages = list(
list(
"role" = "system",
"content" = "You are a writing assistant. Your task is to take point form notes and convert them into longform prose. Please write in a straightforward and clear manner. The user prompt will contain point form notes."
),list(
"role" = "user",
"content" = selected_text$value
)
)
)
# print the results to the console
print(gpt$choices$message.content)
}
Let’s test this out. Here are some point form notes:
Introduce the Computational cognition lab at Brooklyn College
Describe lab research interests, which include learning, memory, and attention
Elaborate with a few example questions about cognition that relate to real world issues.
The longform prose that was generated is below… It’s, well, it said a bunch of stuff I wouldn’t say. Not sure how much I would use this, could also depend on the prompt I’m using. In any case, the basic tool is there as an addin.
The Computational Cognition Lab at Brooklyn College is dedicated to conducting research on learning, memory, and attention, among other cognitive processes. To achieve its goals, the lab uses a combination of behavioral experiments, computational modeling, and brain imaging techniques. In terms of research interests, the lab focuses on the following questions:
How does learning occur in real-world settings, and how can we optimize it? The lab uses virtual environments to simulate complex learning scenarios, such as learning how to navigate a new city or operate complex machinery.
How do we consolidate memories over time, and how can we improve this process? The lab investigates how information is stored in long-term memory and how we can enhance memory retention through various interventions, such as sleep and mindfulness practices.
How do we selectively attend to certain stimuli while filtering out others, and how can we improve this process? The lab examines how attentional processing occurs in the brain, including its neural mechanisms and its impact on real-world decision-making.
Overall, the Computational Cognition Lab at Brooklyn College seeks to contribute to our understanding of how cognitive processes work and how they can be optimized to improve everyday life. By using cutting-edge techniques and exploring real-world questions, the lab hopes to make meaningful contributions to the field of cognitive psychology and beyond.
summarize_main_points()
This addin should take a paragraph input and return a series of point form notes. I’m going to stop printing out each function that I add to the package (which can be found here https://github.com/CrumpLab/gptaddin/blob/master/R/addins.R). But, I will copy out the prompts I’m using:
The prompt for this is:
“You are a writing assistant. Your task is to summarize input text into clear pointform notes.”
Let’s try it out on the following paragraph (taken from my lab website):
The Computational Cognition Lab at Brooklyn College of CUNY investigates learning, memory, attention, performance, and semantic cognition. We ask questions like how do people learn new skills such as playing an instrument or typing on a keyboard? How does memory work? How do people learn the meaning of words? How do people learn patterns and regularities in their environment? These kinds of questions are investigated using behavioral experiments and computational modeling of cognitive processes. The lab also uses a variety of computational methods and tools to conduct and communicate research.
Computational Cognition Lab at Brooklyn College of CUNY studies learning, memory, attention, performance, and semantic cognition.
Lab investigates how people learn new skills, how memory works, how people learn the meaning of words, and how people learn patterns and regularities in their environment.
Research conducted using behavioral experiments and computational modeling of cognitive processes.
Lab uses various computational methods and tools to conduct and communicate research.
completion_ada()
This addin uses the openai::create_completion()
function. The model choice is text-ada-001
, and the max number of tokens is 256. Highlighted text in the RStudio editor is taken as the prompt, the output is sent to the console.
I highlighted the following text and used it as a prompt.
Prompt:
Generate a description of a five legged cat in 100 words
This five legged cat is a Reflex cat. He or she isotonically ungrateful and always wants things from others that are unavailable to them. However, the individual is oftenmanent and resourceful when necessary.
Hmmmm, not great. This was using the text-ada-001 model.

My conclusion is that this model isn’t great for general text completion (or my prompts sucked).
completion_davinci()
Same as above but using a slightly more expensive and apparently better text model, text-davinci-003
.
Tell an engaging story in 100 words or less.
I had a five legged cat that
I named Logan. I found him outside my childhood home and decided to take care of him. He was always loved and well taken care of but due to his extra leg, he wouldn’t be able to do what other cats could. Despite this, Logan would still try his hardest when chasing down a laser pointer, climbing the curtains, or running around the house. He may have been a bit clumsy but nonetheless, he brought joy to everyone. My parents used to joke that he rubbed that extra leg for luck and he proved them right time and again. He was truly a special cat.
Decent.
completion_chat()
This is like the above, except it uses the gpt-3.5-turbo model. This model works a little bit different in that it handles both a “system” prompt defining the role of the chatbot, and a user prompt. This function defines the system as “you are helpful assistant”. Highlighted text in RStudio is then sent to the chatbot, and the output is returned in the console.
Can you help with some travel plans?
Absolutely! Where are you planning to travel to and when? Do you need help with transportation, accommodations, activities, or all of the above?
all of the above
I’m sorry, I don’t understand what you mean by “all of the above”. Could you please provide more context or a specific question so I can assist you better?
This implementation does not include the message history, so the model didn’t know how to interpret the second prompt “all of the above”. It would be possible to add the message context, but I’m not going to do that right now.
Closing thoughts
…Describe some benefits of using Rstudio addins to access the openAI API and use it as a writing assistant…
I won’t bother printing the output from gpt.
My actual closing thoughts are that this approach is on par or better than what notion.so was offering, especially in terms of the ability to customize everything (and price). The prompts I’m using in the examples could be improved, and I wouldn’t be surprised if the quality of the outputs were more useable. It would be easy enough to make lots of other addins to try out different calls and responses. I’m probably interested enough to continue fiddling and see what happens.


salmon cookies one of the bast place to do multipal things you can git from our storeT he best type of cookies styleing like salmon Only from our store you can also catch salmon and going to roast it with yourself if you want , we are a bast plasce because we are not just sellin cookies we are sall salmon also
Our store for all ages and There is a special place for the family to sit , and a beautiful view ,in addition to that, you can get a shirt like the one in the picture. for a limited time
And the great surprise is that you are going to make cookies in the shape of salmon and in many forms, by your self and styling it by your self , Surprise for a short period of time. We wish you a pleasant and entertaining experience with us


Weather API
Collecting Data Please Wait a while ! ...
Ifb you have Problem with locaion Please make a new copy of this file and Try in Your Browser


{% extends 'layout-side-nav.html' %} {% import '_vars-the-bureau.html' as vars with context %} {% set active_nav_id = 'leadership-calendar' %} {% set breadcrumb_items = vars.breadcrumb_items %} {% block title -%} Leadership calendar {%- endblock %} {% block desc -%} At the Consumer Financial Protection Bureau, we are committed to letting you know how we’re working for you every day by, among other things, providing you with a view into the workday of the CFPB’s senior leadership. {%- endblock %} {% block content_main_modifiers -%} {{ super() }} content__flush-bottom {%- endblock %} {% block content_main %} {% import 'leadership-calendar-table.html' as calendar with context %} {% import 'molecules/social-media.html' as social_media %} {% from 'post-macros.html' import pagination as pagination with context %}
At the Consumer Financial Protection Bureau, we are committed to letting you know how we’re working for you every day by, among other things, providing you with a view into the workday of the CFPB’s senior leadership.
Richard Cordray is the director of the CFPB. David Silberman is the acting deputy director. We post their calendars online after reviewing it to determine whether any information contained therein must or should be withheld from public disclosure in accordance with the Freedom of Information Act. We update the calendar retrospectively for the months they have occupied these leadership roles. We do not post current or future calendars. Due to the time-intensive preparation process, each month’s calendar will appear on this page at least a few weeks after that month has concluded. We have also retained the calendars of people who have previously led the day-to-day work of the CFPB.
{{ social_media.render() }}Choose the names and dates for which you want to see the calendar. Appointments are only available for months when someone was serving in Bureau leadership. We’ll generate a PDF of the results for you. Very large requests may take a while.


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def | __init__ |
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def | header |
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def | mutable_header |
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def | clear_header |
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def | has_header |
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def | app |
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def | set_app |
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def | clear_app |
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def | has_app |
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def | allow_multiple_eg |
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def | set_allow_multiple_eg |
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def | clear_allow_multiple_eg |
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def | has_allow_multiple_eg |
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def | MergeFrom |
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def | Equals |
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def | IsInitialized |
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def | ByteSize |
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def | ByteSizePartial |
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def | Clear |
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def | OutputUnchecked |
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def | OutputPartial |
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def | TryMerge |
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def | __str__ |
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int | has_header_ = 0 |
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int | has_app_ = 0 |
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string | app_ = "" |
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int | has_allow_multiple_eg_ = 0 |
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int | allow_multiple_eg_ = 0 |
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int | kheader = 3 |
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int | kapp = 1 |
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int | kallow_multiple_eg = 2 |
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The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/datastore/datastore_v3_pb.py


Welcome message
Who are we?
We are four girls who met each other on the Code First course. We are passionate about gender equality and believe that each of us is capable of achieving great things! All we need is belief in ourselves and the determination to succeed!
...And why did we create this page?
We wanted to create a space where girls could get inspiration for who they want to be! All of us come from different backgrounds and while we are not at the height of our careers (yet!), we have unique experiences that could empower you to follow your dreams. Below, you can also gain inspiration from women that have demonstrated strength, leadership, drive and courage in some form or another. This feature consists of a very small collection of accomplished women, and we invite you to think of a further five women that have inspired you, in one way or another! Acknowledgement is the first step towards development.


{% extends 'internet_nl_dashboard/templates/internet_nl_dashboard/_base.html' %} {% comment %} This is a trick to get vue development support working in pycharm, and to get the CSRF from django to the view. The view is basically all vue, except the { % verbatim % } and { % csrf_token % } tag. Verbatim is needed as django and vue templates collide in syntax. To develop vue specific things, check out: https://blog.jetbrains.com/webstorm/2018/01/working-with-vue-js-in-webstorm/ {% endcomment %} {% block content %}
{% include "internet_nl_dashboard/scan_monitor.vue" %} {% endblock %}