UTC +1. Daylight saving time UTC +2 from the end of March to the end of October.
Voltage: 230 V
Frequency: 50 Hz
Norwegian kroner (NOK) of 100ø.
International dialing code for Norway is +47.
For non-emergency calls and harbour contact, Telenor (Maritim Radio) keeps a list of the VHF working channels for all coast radio stations at www.maritimradio.no
Mobile phones are the preferred method of communication between boats.
Telephone Services
The dominating phone system is GSM mobile, which covers 99% of the landmass. Conventional telephone also has near 100% coverage, but the usage of public telephone booths is falling as mobile takes over.
Mobile Phones
A prepaid Norway SIM card with an international cell phone is the most convenient and economical solution with all incoming calls in Norway are FREE, regardless of where they originate. The Norway SIM card provides service across Norway through domestic roaming. Pay the local rate for local calls and use a cellular phone in Norway.
Internet
Most of the country is covered by broadband internet, including sparsely populated remote regions.
In the cities it is generally possible to locate a WiFi hotspot or an internet café. WiFi access is also common in hotels, railway stations, on trains, ferries and increasingly in the harbours. In more remote spots actual access may prove more cumbersome; it may be necessary (and rarely difficult) to ask for a loan of a private connection in cafés or shops.
Last updated February 2016.
Police - Dial 112
Ambulance - Dial 113
Fire Service - Dial 110
Emergencies at Sea - Dial 120
Norway has a coordinated system for sea rescue. A call to a coastal radio station via VHF channel 16 or phone should trigger simultaneous notifications to police, air services, the Sea Rescue ships and if required, the medical emergency services.
The coast radio stations may also be reached by a shared phone No. 120 (regular phone, not VHF). These stations also receive automatic DSC calls on channel 70.
North of Rorvik +47 75 55 90 00, South Norway +47 51 51 70 00.
IMRAY AND ADLARD COLES PILOT BOOKS are available at a discounted price for Noonsite.com users via World Cruising Club
Cruising in Norway
By Howard Steen
Published by The Cruising Association (2016 edition)
A fully revised edition. This publication aims to assist sailors who are considering going there for the first time or are continuing their exploration of this fascinating coast. It has been compiled by CA members who have extensive knowledge of the country and what it is like to sail there.
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Price: £60.00
A major new work from the RCC Pilotage Foundation, this pilot covers the Northwest and Northeast Passages through the Arctic Ocean. The RCCPF website has supplementary information to this guide free to download.
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Publisher: Bloomsbury
£11.69
Battling Atlantic storms, losing a mast in Antarctica, sailing the Arctic, skiing across remote regions, climbing and sailing through the North West Passage.
Norway
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Published by RCC Pilotage Foundation (2nd Edition 2010)
ISBN:<PHONE_NUMBER>848
This is a cruising guide to the mainland coast, fjords and islands of Norway, including Svalbard and Jan Mayen. The relatively benign sailing in the south, makes this a rewarding cruising area for crews who self-sufficient. The far north is not for the faint hearted, but this book includes the necessary pilotage information to guide your more challenging passage-making as you sail north above the Arctic Circle.
See more information, including a 2014 free download re. cruising in Norway by Judy Lomax at http://www.rccpf.org.uk/publications/europe-a-mediterranean/norway
Norwegian Cruising Guide including Spitsbergen
Available as an ebook and in print.
www.norwegiancruisingguide.com
Latest Edition February 2013.
Sail to Svalbard - 2011
By Jon Amtrup
See Review here
The Cruising Almanac 2016
Published by The Cruising Association
Updates downloadable from www.theca.org.uk/almanac/corrections
Covers North West Europe from Shetland and southern Norway to Gibraltar and West Ireland to the Baltic. Fully revised. Available as Imray Nautical Apps for iPad users.
http://www.channelpilot.info
A useful travel log by Nicholas Hill on sailing the Baltic. Very good descriptions, photos etc.
http://www.balticmarinas.com/article/archive/226/
Information on marinas in Norway.
http://www.cruisingworld.com/barba-crew-finishes-an-epic-arctic-adventure
An Epic Arctic Adventure - Published November 2015
Some 6,500 km and four months of living aboard Barba- a 37-foot-long fiberglass-hulled Jeanneau built more for the tropics than the Arctic.
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Daichir, Priest of Earth:
Thank Maphr!
Here is a Replenished Power Bead. Go to the Mithril Mine and take it to the various Lucien's Altars within. Then the power within will again flow into the altar.
You must visit all 5 altars. If you are successful, I promise that you will be richly rewarded!
Good luck! Karna Maprera!


--- layout: post title: New Wheels post_id: 280 categories: - life date: 2004-04-15 14:56:00.000000000 -06:00 author: Jamis permalink: 2004/4/15/new-wheels.html ---
Not much to say, except that we decided to go with the Odyssey. We purchased an LX last night, and we’re quite pleased with it. It’s beige in color, and drives very nicely. The best feature, though, is the space. It can hold our double stroller laying down flat in the back. Very impressive.


Wow such empty! Click on generate button to get started
Created by ultr42 | Github: github.com/ultraflame4 | Website: ultraflame4.github.io/| Email: ultraflame4@gmail.com


I am a web developer seeking to utilize my ability to design and create web applications.
Cumulative GPA: 3.84- Magna Cum Laude
Worked on a team of five to develop and design a travel website for Enterprise International. Highlights of my contributions include creating and designing the navbar and footer, filtering reviews, using rails mailer to send welcome email upon registration, and using Braintree to manage payments.
Currently working on a website for Woodland Resources Unlimited. This website will showcase the services offered and allow clients to contact the company to request a service.
I am passionate about making and designing things which translates from coding into my hobbies of sketching and baking. I also enjoy puzzles and board games. I even brought my desire to create things into my love for board games by designing and building my own board game. When the weather is nice you can find me outside walking, hiking, biking, or cross-country skiing.


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orphan
: remnant in ellipsis
The orphan
relation is used to provide a satisfactory treatment of
ellipsis (in the case of gapping and stripping, where a predicational
or verbal head gets elided). This is something that was lacking in
earlier versions of SD and provides a basis for being able to
reconstruct dependencies in the enhanced representation of UD. In
particular, the goal was to achieve this without having to postulate
empty nodes in the basic representation.
To develop motivation, consider first a sentence without ellipsis:
Maria foi para Paris e Miriam foi para Praga
nsubj(foi-2, Maria-1)
root(root-0, foi-2)
nmod(foi-2, Paris-4)
case(Paris-4, para-3)
cc(foi-2, e-5)
nsubj(foi-7, Miriam-6)
conj(foi-2, foi-7)
case(Praga-9, para-8)
nmod(foi-7, Praga-9)
The question is then how to treat the sentence “Maria foi para Paris e Miriam para Praga”
Maria foi para Paris e Miriam para Praga
nsubj(foi-2, Maria-1)
root(root-0, foi-2)
nmod(foi-2, Paris-4)
case(Paris-4, para-3)
cc(foi-2, e-5)
case(Praga-8, para-7)
One option would be to pretend that there is an empty verb and to have the final elements be dependents of it: Maria foi para Paris e Miriam ∅ para Praga. This analysis has some appeal but also has some problems and at any rate stops the basic dependency graph from being simply a tree of dependencies over the words of a sentence. A second option is to simply promote the final elements and to have them as dependents of the main verb of the sentence (foi-2) or of root-0. But then (in general) one loses the ability to successfully reconstruct the correct predicate-argument structure of the sentence from the basic dependency representation.
Therefore, UD adopts an analysis that notes that in ellipsis a
orphan
corresponds to a correlate in a preceding clause. The
orphan
relation connects each remnant to its correlate in the basic
dependency representation. This is then a sufficient representation to
reconstruct the predicate-argument structure in the enhanced
representation. So, for this example, we have:
Maria foi para Paris e Miriam para Praga
nsubj(foi-2, Maria-1)
root(root-0, foi-2)
nmod(foi-2, Paris-4)
case(Paris-4, para-3)
cc(foi-2, e-5)
case(Praga-8, para-7)
remnant(Maria-1, Miriam-6)
remnant(Paris-4, Praga-8)
Even in the more complex example below, the orphan
relations enable us to correctly retrieve the subjects and objects in
the clauses with an elided verb.
João ganhou bronze , Maria prata , e Sandy ouro
nsubj(ganhou-2, João-1)
dobj(ganhou-2, bronze-3)
remnant(João-1, Maria-5)
remnant(Maria-5, Sandy-9)
remnant(bronze-3, prata-6)
remnant(prata-6, ouro-10)
Note in particular that (unlike for conj), orphan
uses a chaining analysis where each subsequent remnant depends on the immediately preceding remnant/correlate. The reason for this is that otherwise in a sentence with 2 or more chained ellipses the dependency structure would no longer track which remnants go together. It would become impossible to determine whether Maria ganhou prata and Sandy ouro, or Maria ganhou ouro e Sandy prata.
It is also possible that the incomplete part precedes the complete one in the sentence [de]:
78 % para Bush e 4 % para o discurso do Clinton
remnant(%-7, %-2)
remnant(Clinton, Bush)
The orphan
relation is used when no predicational material is
present. In contrast, in right-node-raising (RNR) and VP-ellipsis
constructions in which some kind of predicational or verbal material
is still present, the orphan
relation is not used. In RNR, the
verbs are coordinated and the object is a obj of the first verb:
João comprou e comeu uma maçã
nsubj(comprou-2, João-1)
cc(comprou-2, e-3)
conj(comprou-2, comeu-4)
det(maçã-6, uma-5)
dobj(comprou-2, maçã-6)
In VP-ellipsis, we keep the auxiliary as the head, as shown below:
João vai ganhar ouro e Maria vai também
nsubj(ganhar-3, João-1)
aux(ganhar-3, vai-2)
dobj(ganhar-3, ouro-4)
cc(ganhar-3, e-5)
conj(ganhar-3, vai-7)
nsubj(vai-7, Maria-6)
advmod(vai-7, também-8)
orphan in other languages: [u]


Remote access for Home Assistant (and other things)
A (quick) primer on how to access a your Home Assistant server, or other device, from outside your network, with a dynamic DNS service. You’ll use a dynamic ...
A (quick) primer on how to access a your Home Assistant server, or other device, from outside your network, with a dynamic DNS service. You’ll use a dynamic ...
RFC 1918 defines a set of 3 IP ranges that are not routed across the Internet and can only be used on local networks. You will sometimes see these used on IS...
I’m going to assume that you’ve already got Let’s Encrypt or your chosen SSL provider configured, and that you’ve forwarded the port your using.
Note: This is based off the original Home Assistant virtual environment instructions - before they were reduced to a handful of steps.
Today something rather interesting was announced - the new cloud component for Home Assistant.


"""
This module can be used to solve 2D beam bending problems with
singularity functions in mechanics.
"""
from __future__ import print_function, division
from sympy.core import S, Symbol, diff
from sympy.solvers import linsolve
from sympy.printing import sstr
from sympy.functions import SingularityFunction
from sympy.core import sympify
from sympy.integrals import integrate
from sympy.series import limit
[docs]class Beam(object):
"""
A Beam is a structural element that is capable of withstanding load
primarily by resisting against bending. Beams are characterized by
their cross sectional profile(Second moment of area), their length
and their material.
.. note::
While solving a beam bending problem, a user should choose its
own sign convention and should stick to it. The results will
automatically follow the chosen sign convention.
Examples
========
There is a beam of length 4 meters. A constant distributed load of 6 N/m
is applied from half of the beam till the end. There are two simple supports
below the beam, one at the starting point and another at the ending point
of the beam. The deflection of the beam at the end is resticted.
Using the sign convention of downwards forces being positive.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols, Piecewise
>>> E, I = symbols('E, I')
>>> R1, R2 = symbols('R1, R2')
>>> b = Beam(4, E, I)
>>> b.apply_load(R1, 0, -1)
>>> b.apply_load(6, 2, 0)
>>> b.apply_load(R2, 4, -1)
>>> b.bc_deflection = [(0, 0), (4, 0)]
>>> b.boundary_conditions
{'deflection': [(0, 0), (4, 0)], 'slope': []}
>>> b.load
R1*SingularityFunction(x, 0, -1) + R2*SingularityFunction(x, 4, -1) + 6*SingularityFunction(x, 2, 0)
>>> b.solve_for_reaction_loads(R1, R2)
>>> b.load
-3*SingularityFunction(x, 0, -1) + 6*SingularityFunction(x, 2, 0) - 9*SingularityFunction(x, 4, -1)
>>> b.shear_force()
-3*SingularityFunction(x, 0, 0) + 6*SingularityFunction(x, 2, 1) - 9*SingularityFunction(x, 4, 0)
>>> b.bending_moment()
-3*SingularityFunction(x, 0, 1) + 3*SingularityFunction(x, 2, 2) - 9*SingularityFunction(x, 4, 1)
>>> b.slope()
(-3*SingularityFunction(x, 0, 2)/2 + SingularityFunction(x, 2, 3) - 9*SingularityFunction(x, 4, 2)/2 + 7)/(E*I)
>>> b.deflection()
(7*x - SingularityFunction(x, 0, 3)/2 + SingularityFunction(x, 2, 4)/4 - 3*SingularityFunction(x, 4, 3)/2)/(E*I)
>>> b.deflection().rewrite(Piecewise)
(7*x - Piecewise((x**3, x > 0), (0, True))/2
- 3*Piecewise(((x - 4)**3, x - 4 > 0), (0, True))/2
+ Piecewise(((x - 2)**4, x - 2 > 0), (0, True))/4)/(E*I)
"""
def __init__(self, length, elastic_modulus, second_moment, variable=Symbol('x')):
"""Initializes the class.
Parameters
==========
length : Sympifyable
A Symbol or value representing the Beam's length.
elastic_modulus : Sympifyable
A SymPy expression representing the Beam's Modulus of Elasticity.
It is a measure of the stiffness of the Beam material.
second_moment : Sympifyable
A SymPy expression representing the Beam's Second moment of area.
It is a geometrical property of an area which reflects how its
points are distributed with respect to its neutral axis.
variable : Symbol, optional
A Symbol object that will be used as the variable along the beam
while representing the load, shear, moment, slope and deflection
curve. By default, it is set to ``Symbol('x')``.
"""
self.length = length
self.elastic_modulus = elastic_modulus
self.second_moment = second_moment
self.variable = variable
self._boundary_conditions = {'deflection': [], 'slope': []}
self._load = 0
self._reaction_loads = {}
def __str__(self):
str_sol = 'Beam({}, {}, {})'.format(sstr(self._length), sstr(self._elastic_modulus), sstr(self._second_moment))
return str_sol
@property
def reaction_loads(self):
""" Returns the reaction forces in a dictionary."""
return self._reaction_loads
@property
def length(self):
"""Length of the Beam."""
return self._length
@length.setter
def length(self, l):
self._length = sympify(l)
@property
def variable(self):
"""
A symbol that can be used as a variable along the length of the beam
while representing load distribution, shear force curve, bending
moment, slope curve and the deflection curve. By default, it is set
to ``Symbol('x')``, but this property is mutable.
Examples
========
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols
>>> E, I = symbols('E, I')
>>> x, y, z = symbols('x, y, z')
>>> b = Beam(4, E, I)
>>> b.variable
x
>>> b.variable = y
>>> b.variable
y
>>> b = Beam(4, E, I, z)
>>> b.variable
z
"""
return self._variable
@variable.setter
def variable(self, v):
if isinstance(v, Symbol):
self._variable = v
else:
raise TypeError("""The variable should be a Symbol object.""")
@property
def elastic_modulus(self):
"""Young's Modulus of the Beam. """
return self._elastic_modulus
@elastic_modulus.setter
def elastic_modulus(self, e):
self._elastic_modulus = sympify(e)
@property
def second_moment(self):
"""Second moment of area of the Beam. """
return self._second_moment
@second_moment.setter
def second_moment(self, i):
self._second_moment = sympify(i)
@property
def boundary_conditions(self):
"""
Returns a dictionary of boundary conditions applied on the beam.
The dictionary has three kewwords namely moment, slope and deflection.
The value of each keyword is a list of tuple, where each tuple
contains loaction and value of a boundary condition in the format
(location, value).
Examples
========
There is a beam of length 4 meters. The bending moment at 0 should be 4
and at 4 it should be 0. The slope of the beam should be 1 at 0. The
deflection should be 2 at 0.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols
>>> E, I = symbols('E, I')
>>> b = Beam(4, E, I)
>>> b.bc_deflection = [(0, 2)]
>>> b.bc_slope = [(0, 1)]
>>> b.boundary_conditions
{'deflection': [(0, 2)], 'slope': [(0, 1)]}
Here the deflection of the beam should be ``2`` at ``0``.
Similarly, the slope of the beam should be ``1`` at ``0``.
"""
return self._boundary_conditions
@property
def bc_slope(self):
return self._boundary_conditions['slope']
@bc_slope.setter
def bc_slope(self, s_bcs):
self._boundary_conditions['slope'] = s_bcs
@property
def bc_deflection(self):
return self._boundary_conditions['deflection']
@bc_deflection.setter
def bc_deflection(self, d_bcs):
self._boundary_conditions['deflection'] = d_bcs
[docs] def apply_load(self, value, start, order, end=None):
"""
This method adds up the loads given to a particular beam object.
Parameters
==========
value : Sympifyable
The magnitude of an applied load.
start : Sympifyable
The starting point of the applied load. For point moments and
point forces this is the location of application.
order : Integer
The order of the applied load.
- For moments, order= -2
- For point loads, order=-1
- For constant distributed load, order=0
- For ramp loads, order=1
- For parabolic ramp loads, order=2
- ... so on.
end : Sympifyable, optional
An optional argument that can be used if the load has an end point
within the length of the beam.
Examples
========
There is a beam of length 4 meters. A moment of magnitude 3 Nm is
applied in the clockwise direction at the starting point of the beam.
A pointload of magnitude 4 N is applied from the top of the beam at
2 meters from the starting point and a parabolic ramp load of magnitude
2 N/m is applied below the beam starting from 2 meters to 3 meters
away from the starting point of the beam.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols
>>> E, I = symbols('E, I')
>>> b = Beam(4, E, I)
>>> b.apply_load(-3, 0, -2)
>>> b.apply_load(4, 2, -1)
>>> b.apply_load(-2, 2, 2, end = 3)
>>> b.load
-3*SingularityFunction(x, 0, -2) + 4*SingularityFunction(x, 2, -1) - 2*SingularityFunction(x, 2, 2)
+ 2*SingularityFunction(x, 3, 0) + 2*SingularityFunction(x, 3, 2)
"""
x = self.variable
value = sympify(value)
start = sympify(start)
order = sympify(order)
self._load += value*SingularityFunction(x, start, order)
if end:
if order == 0:
self._load -= value*SingularityFunction(x, end, order)
elif order.is_positive:
self._load -= value*SingularityFunction(x, end, order) + value*SingularityFunction(x, end, 0)
else:
raise ValueError("""Order of the load should be positive.""")
@property
def load(self):
"""
Returns a Singularity Function expression which represents
the load distribution curve of the Beam object.
Examples
========
There is a beam of length 4 meters. A moment of magnitude 3 Nm is
applied in the clockwise direction at the starting point of the beam.
A pointload of magnitude 4 N is applied from the top of the beam at
2 meters from the starting point and a parabolic ramp load of magnitude
2 N/m is applied below the beam starting from 3 meters away from the
starting point of the beam.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols
>>> E, I = symbols('E, I')
>>> b = Beam(4, E, I)
>>> b.apply_load(-3, 0, -2)
>>> b.apply_load(4, 2, -1)
>>> b.apply_load(-2, 3, 2)
>>> b.load
-3*SingularityFunction(x, 0, -2) + 4*SingularityFunction(x, 2, -1) - 2*SingularityFunction(x, 3, 2)
"""
return self._load
[docs] def solve_for_reaction_loads(self, *reactions):
"""
Solves for the reaction forces.
Examples
========
There is a beam of length 30 meters. A moment of magnitude 120 Nm is
applied in the clockwise direction at the end of the beam. A pointload
of magnitude 8 N is applied from the top of the beam at the starting
point. There are two simple supports below the beam. One at the end
and another one at a distance of 10 meters from the start. The
deflection is restricted at both the supports.
Using the sign convention of upward forces and clockwise moment
being positive.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols, linsolve, limit
>>> E, I = symbols('E, I')
>>> R1, R2 = symbols('R1, R2')
>>> b = Beam(30, E, I)
>>> b.apply_load(-8, 0, -1)
>>> b.apply_load(R1, 10, -1) # Reaction force at x = 10
>>> b.apply_load(R2, 30, -1) # Reaction force at x = 30
>>> b.apply_load(120, 30, -2)
>>> b.bc_deflection = [(10, 0), (30, 0)]
>>> b.load
R1*SingularityFunction(x, 10, -1) + R2*SingularityFunction(x, 30, -1)
- 8*SingularityFunction(x, 0, -1) + 120*SingularityFunction(x, 30, -2)
>>> b.solve_for_reaction_loads(R1, R2)
>>> b.reaction_loads
{R1: 6, R2: 2}
>>> b.load
-8*SingularityFunction(x, 0, -1) + 6*SingularityFunction(x, 10, -1)
+ 120*SingularityFunction(x, 30, -2) + 2*SingularityFunction(x, 30, -1)
"""
x = self.variable
l = self.length
shear_curve = limit(self.shear_force(), x, l)
moment_curve = limit(self.bending_moment(), x, l)
reaction_values = linsolve([shear_curve, moment_curve], reactions).args
self._reaction_loads = dict(zip(reactions, reaction_values[0]))
self._load = self._load.subs(self._reaction_loads)
[docs] def shear_force(self):
"""
Returns a Singularity Function expression which represents
the shear force curve of the Beam object.
Examples
========
There is a beam of length 30 meters. A moment of magnitude 120 Nm is
applied in the clockwise direction at the end of the beam. A pointload
of magnitude 8 N is applied from the top of the beam at the starting
point. There are two simple supports below the beam. One at the end
and another one at a distance of 10 meters from the start. The
deflection is restricted at both the supports.
Using the sign convention of upward forces and clockwise moment
being positive.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols
>>> E, I = symbols('E, I')
>>> R1, R2 = symbols('R1, R2')
>>> b = Beam(30, E, I)
>>> b.apply_load(-8, 0, -1)
>>> b.apply_load(R1, 10, -1)
>>> b.apply_load(R2, 30, -1)
>>> b.apply_load(120, 30, -2)
>>> b.bc_deflection = [(10, 0), (30, 0)]
>>> b.solve_for_reaction_loads(R1, R2)
>>> b.shear_force()
-8*SingularityFunction(x, 0, 0) + 6*SingularityFunction(x, 10, 0) + 120*SingularityFunction(x, 30, -1) + 2*SingularityFunction(x, 30, 0)
"""
x = self.variable
return integrate(self.load, x)
[docs] def bending_moment(self):
"""
Returns a Singularity Function expression which represents
the bending moment curve of the Beam object.
Examples
========
There is a beam of length 30 meters. A moment of magnitude 120 Nm is
applied in the clockwise direction at the end of the beam. A pointload
of magnitude 8 N is applied from the top of the beam at the starting
point. There are two simple supports below the beam. One at the end
and another one at a distance of 10 meters from the start. The
deflection is restricted at both the supports.
Using the sign convention of upward forces and clockwise moment
being positive.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols
>>> E, I = symbols('E, I')
>>> R1, R2 = symbols('R1, R2')
>>> b = Beam(30, E, I)
>>> b.apply_load(-8, 0, -1)
>>> b.apply_load(R1, 10, -1)
>>> b.apply_load(R2, 30, -1)
>>> b.apply_load(120, 30, -2)
>>> b.bc_deflection = [(10, 0), (30, 0)]
>>> b.solve_for_reaction_loads(R1, R2)
>>> b.bending_moment()
-8*SingularityFunction(x, 0, 1) + 6*SingularityFunction(x, 10, 1) + 120*SingularityFunction(x, 30, 0) + 2*SingularityFunction(x, 30, 1)
"""
x = self.variable
return integrate(self.shear_force(), x)
[docs] def slope(self):
"""
Returns a Singularity Function expression which represents
the slope the elastic curve of the Beam object.
Examples
========
There is a beam of length 30 meters. A moment of magnitude 120 Nm is
applied in the clockwise direction at the end of the beam. A pointload
of magnitude 8 N is applied from the top of the beam at the starting
point. There are two simple supports below the beam. One at the end
and another one at a distance of 10 meters from the start. The
deflection is restricted at both the supports.
Using the sign convention of upward forces and clockwise moment
being positive.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols
>>> E, I = symbols('E, I')
>>> R1, R2 = symbols('R1, R2')
>>> b = Beam(30, E, I)
>>> b.apply_load(-8, 0, -1)
>>> b.apply_load(R1, 10, -1)
>>> b.apply_load(R2, 30, -1)
>>> b.apply_load(120, 30, -2)
>>> b.bc_deflection = [(10, 0), (30, 0)]
>>> b.solve_for_reaction_loads(R1, R2)
>>> b.slope()
(-4*SingularityFunction(x, 0, 2) + 3*SingularityFunction(x, 10, 2)
+ 120*SingularityFunction(x, 30, 1) + SingularityFunction(x, 30, 2) + 4000/3)/(E*I)
"""
x = self.variable
E = self.elastic_modulus
I = self.second_moment
if not self._boundary_conditions['slope']:
return diff(self.deflection(), x)
C3 = Symbol('C3')
slope_curve = integrate(self.bending_moment(), x) + C3
bc_eqs = []
for position, value in self._boundary_conditions['slope']:
eqs = slope_curve.subs(x, position) - value
bc_eqs.append(eqs)
constants = list(linsolve(bc_eqs, C3))
slope_curve = slope_curve.subs({C3: constants[0][0]})
return S(1)/(E*I)*slope_curve
[docs] def deflection(self):
"""
Returns a Singularity Function expression which represents
the elastic curve or deflection of the Beam object.
Examples
========
There is a beam of length 30 meters. A moment of magnitude 120 Nm is
applied in the clockwise direction at the end of the beam. A pointload
of magnitude 8 N is applied from the top of the beam at the starting
point. There are two simple supports below the beam. One at the end
and another one at a distance of 10 meters from the start. The
deflection is restricted at both the supports.
Using the sign convention of upward forces and clockwise moment
being positive.
>>> from sympy.physics.continuum_mechanics.beam import Beam
>>> from sympy import symbols
>>> E, I = symbols('E, I')
>>> R1, R2 = symbols('R1, R2')
>>> b = Beam(30, E, I)
>>> b.apply_load(-8, 0, -1)
>>> b.apply_load(R1, 10, -1)
>>> b.apply_load(R2, 30, -1)
>>> b.apply_load(120, 30, -2)
>>> b.bc_deflection = [(10, 0), (30, 0)]
>>> b.solve_for_reaction_loads(R1, R2)
>>> b.deflection()
(4000*x/3 - 4*SingularityFunction(x, 0, 3)/3 + SingularityFunction(x, 10, 3)
+ 60*SingularityFunction(x, 30, 2) + SingularityFunction(x, 30, 3)/3 - 12000)/(E*I)
"""
x = self.variable
E = self.elastic_modulus
I = self.second_moment
if not self._boundary_conditions['deflection'] and not self._boundary_conditions['slope']:
return S(1)/(E*I)*integrate(integrate(self.bending_moment(), x), x)
elif not self._boundary_conditions['deflection']:
return integrate(self.slope(), x)
elif not self._boundary_conditions['slope'] and self._boundary_conditions['deflection']:
C3 = Symbol('C3')
C4 = Symbol('C4')
slope_curve = integrate(self.bending_moment(), x) + C3
deflection_curve = integrate(slope_curve, x) + C4
bc_eqs = []
for position, value in self._boundary_conditions['deflection']:
eqs = deflection_curve.subs(x, position) - value
bc_eqs.append(eqs)
constants = list(linsolve(bc_eqs, (C3, C4)))
deflection_curve = deflection_curve.subs({C3: constants[0][0], C4: constants[0][1]})
return S(1)/(E*I)*deflection_curve
C4 = Symbol('C4')
deflection_curve = integrate((E*I)*self.slope(), x) + C4
bc_eqs = []
for position, value in self._boundary_conditions['deflection']:
eqs = deflection_curve.subs(x, position) - value
bc_eqs.append(eqs)
constants = list(linsolve(bc_eqs, C4))
deflection_curve = deflection_curve.subs({C4: constants[0][0]})
return S(1)/(E*I)*deflection_curve


{% extends 'base.html' %} {% block title %}Delete Card{% endblock title %} {% block content %}
Are you sure you want to delete this card?


interface TestPlanDAO
(source)
abstract fun getPlan(testPlanId: Id<TestPlan>): TestPlan? |
|
abstract fun getPlanExecutions(testPlanId: Id<TestPlan>): List<TestPlanExecution> |
|
abstract fun getPlans(): List<TestPlan> |
|
abstract fun getPlansByApplicationId(applicationId: String): List<TestPlan> |
|
abstract fun removeTestPlan(planId: Id<TestPlan>): Unit
Remove the given test plan from the database. |
|
abstract fun saveTestExecution(testPlanExecution: TestPlanExecution): Unit
Save the given common test plan execution into the mongo database. |
|
abstract fun saveTestPlan(testPlan: TestPlan): Unit
Save the given common test plan into the mongo database. |


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 4
This is one of my favourite pies: a great, no-nonsense recipe that does exactly what it says on the tin, and is all the better for it. I use chuck steak (also known as braising steak), which has lots of flavour, and two types of potato: a floury variety, which falls apart and thickens the gravy, and a waxier type that holds its shape to provide texture.
First make the filling, put the onions and steak in a large pan. Add enough water to just cover them and bring to a simmer. Cover with a lid, reduce the heat and simmer gently for 1½ hours.
Add the potatoes to the pan, along with some salt and pepper, and cook for 30-35 minutes more or until the potatoes are soft and the meat tender. The gravy should be nicely thickened by the potatoes.
Check the seasoning and add salt and pepper to taste.
Pour off 300-600ml/10-20fl oz of liquid from the pan – enough to leave the filling nicely moist but not swimming in liquid – and save this to use as gravy with the pie. Transfer the filling to a 1.2 litre/2 pint pie dish and leave to cool completely.

For the suet crust, combine the flour and suet in a large bowl with some salt and pepper. Gradually mix in enough cold water to form a soft, slightly sticky dough. Leave to stand for five minutes.
On a lightly floured surface, roll out the pastry to a 7-8mm/1/3in thickness. Cut a 2cm/¾in strip of pastry. Dampen the edges of the rim of the pie dish with water. Stick the pastry strip onto the rim and dampen this too. Lay the remaining pastry on top. Press down to seal the edges, crimp or flute the edges of the pastry then trim off the excess.
Bake the pie for 30-40 minutes, or until the pastry is golden-brown. Leave to stand for 10–15 minutes before serving.


190
SFC is engaged in various Social and Community Development programs aimed for the benefit of Poor and Needy Women, Older People, Children of our society. Our objective is not only to eradicate illiteracy among weaker sections of the society but also to levy the foundation for Women Empowerment, Healthcare, Development and Human rights.
Our core philosophy has its bedrock in Education as we believe, it is the only weapon which can change the World and the best way to make this Grand change is imparting education to the building block of our society i.e. Our Children, hence we ensure that each child gets access to these opportunities. However the complete eradication of illiteracy will happen only by educating the Women and Elder Folks, so we have devoted special Programs for them. Our Vision and Missions are fulfilled wholeheartedly by our utmost core values, and intense dedication and commitment of our Team.
But as We all know, Vision alone is not enough, so combining it with it with venture, we have our two main projects- Gyan & Sampuran which are the foot of our Working Model. The education imparted to the lesser fortunate is covered under Project Gyan. And all the other crucial issues are dealt under Project Sampuran like visiting old age homes, or organizing donation drives or awareness campaigns. And to conquer huge development challenges, we have a colossal pool of Interns and Volunteers, who are pivotal members of our Foundation. When like-minded people come together with common aspirations great results can be achieved and SFC has become the platform of success due to such devoted people only.


--- layout: post title: 'It''s Playtime!' date: 2006-09-25 00:00:00 categories: business digital-media interfaces-&-interaction personal play ---
I'll be talking at Playtime next week: "The aim of the day is to not only introduce us to the many different types of play that can occur away from the console, but also to demonstrate how emerging web and mobile technologies are changing opportunities for serious and not-so-serious play; embedding gameplay into our lives and empowering artists and audiences alike to create and manipulate digital content in ever more playful and culturally significant ways."
You can expect some demos and exploration of mobile-related stuff from me (of course), things you can easily do to get phones participating in group experiences, and general playfulness...


Puppet Class: sqlgrey
- Inherits:
- ::sqlgrey::params
- Defined in:
- manifests/init.pp
Overview
== Class: sqlgrey
Main init class for sqlgrey
16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
# File 'manifests/init.pp', line 16
class sqlgrey (
String $package_name = $::sqlgrey::params::package_name,
String $service_name = $::sqlgrey::params::service_name,
Variant[
Boolean,
Enum['running', 'stopped']
] $service_ensure = 'running',
Boolean $service_enable = true,
Variant[
Boolean,
Enum['installed', 'latest']
] $package_ensure = 'installed',
Hash[String, Data] $config = {},
Boolean $manage_db = false,
Boolean $db_export = false,
Optional[String] $db_tag = undef,
Optional[Array] $clients_fqdn_whitelist = [],
Optional[Array] $clients_ip_whitelist = [],
) inherits ::sqlgrey::params {
class { '::sqlgrey::install':
package_name => $package_name,
package_ensure => $package_ensure,
}
-> class { '::sqlgrey::config':
config => $config,
manage_db => $manage_db,
db_tag => $db_tag,
db_export => $db_export,
clients_ip_whitelist => $clients_ip_whitelist,
clients_fqdn_whitelist => $clients_fqdn_whitelist,
}
~> class { '::sqlgrey::service':
service_name => $service_name,
service_ensure => $service_ensure,
service_enable => $service_enable,
}
-> Class['::sqlgrey']
}
|


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{{ crumbs[crumb].clue }}
{{ crumbs[crumb].description }}
Open map
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Check out its cool content!
{{ crumbs[crumb].media_text }}
{{ crumbs[crumb].audio }}
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Self propelled, deadline-oriented front-end developer with over 3 years of experience. Solid track record of creative solutions that exceed client expectations in both business and web development.
Intern
Business Consultant
Freelance Web Developer
Web Application Developer


RSC
FirstLevelReturnStatement
Reflectable
tree
recursiveDelete
FileTreeWalker
recursiveListFiles
FileTreeWalker
registerChild
Directive
removedIds
ThreadIdRemover
resourcePath
Config
run
Preprocessor
runtimeClasses
Config
runtimePath
Config


3.0.0-1
The AdminBase class provides a set of helper CRUD classes for defining Admin-UI based admin pages.
Extends HasModels
class TodoAdmin extends AdminBase {
base () {
return '/todo'
}
model () {
return 'todo'
}
templateDir () {
return __dirname+'/views'
}
}
An Admin UI Framework for Nxus Apps.
> npm install nxus-admin-ui --save
There are two configuration options you can specify in your package.json file to change the way the admin-ui module
functions. All configuration should be under the admin-ui
section of the config
key.
For example:
"config": {
"admin-ui": {
"basePath": "/otherRoute",
"adminTemplate": "myAdmin"
}
}
The Admin Interface is made up of pages and routes. Pages are rendered content displayed in the Admin Interface. Routes are callbacks that don't render anything, but perform application logic (like a save handler).
You can define pages in three ways using the adminPage
provider.
If you supply a valid filepath, the Admin interface will use that partial to render the page content for display.
admin.adminPage('Page Title', '/partial', {iconClass: 'fa fa-file'}, __dirname+"/views/page.ejs")
If you provide a string, the string will be passed to the admin page template as is.
admin.adminPage('Page Title', '/content', {iconClass: 'fa fa-file'}, (req, res) => {
return "this is handler content"
})
If you provide a callback, the return should either a string or a Promise for a string.
admin.adminPage('Page Title', '/function', (req, res) => {
return Promise.resolve('Some text');
})
admin.adminRoute('get', '/redirect', (req, res) => {
res.redirect('/admin')
})
The Admin UI provides a set of convenience functions for defining administrative actions for models and model instances.
Use the instanceAction
gatherer to define actions that relate to a specific instance. For example, view
could defined as:
this.admin.instanceAction(this.model(), 'view', 'view', {iconClass:"fa fa-eye", suffixName: true})
Default Instance Actions
The Admin UI module provides the 'Edit' and 'Delete' instance action for you automatically.
Use model actions to do something that applys to the entire class, or no specific instance.
this.admin.modelAction(this.model(), 'Delete All', 'deleteall', {iconClass:"fa fa-remove", suffixName: true})
Default Model Actions
The Admin UI module provides the 'Create' model action for you automatically.
The module provides a helper for generating list/detail views from a model:
app.get('admin-ui').adminModel('user', {base: '/users', titleField: 'email'})
You may pass in an options object, as in this example, or subclass of ViewBase, or a string path to a subclass of ViewBase.
import {AdminBase} from '@nxus/admin-ui'
class UserView extends AdminBase {
model() {
return 'user'
}
base() {
return '/users'
}
titleField() {
return 'email
}
}
app.get('admin-ui').adminModel(UserView)
If you want to provide your own 404 or 500 page, define the relevant new template. Base-ui will use these to handle the routes above.
You can specify your own list view template to use instead of the default. The base-ui module looks for a template matching the following
pattern: admin-<model>-list
and admin-<model>-detail
.
Each template will be passed either a model instance (for detail view) or an array of models (for list view), using the model name.
So using the examples above:
app.get('templater').templateFunction('admin-user-list', (opts) => {
return app.get('renderer').render("ejs", "<% users.forEach(function(user){ .... }) %>", opts)
})
app.get('templater').template('admin-user-detail', 'ejs', () => {
return app.get('renderer').render("ejs", "Email: <%= user.email %>", opts)
})
app.get('admin-ui') # API -----
Register an action for the model list page
Register an action for the model detail page
Creates a CRUD UI for the specified model, including all routes and views. You can pass in the following combinations:
Routes created are:
/admin/<base>
: list page /admin/<base>/create
: create new instance /admin/<base>/edit/:id
: edit existing instance /admin/<base>/destroy/:id
: destroy existing instance Views which can be overriden are:
admin-<model>-form
: the create/edit formadmin-<model>-list
: the list page viewThe generated form for edit/create currently handles simple types (string, float, boolean, etc) and foreign key fields as a dropdown of all the related models.
Options available are:
base
: the url at which the CRUD paths are created. For example, '/users'.iconClass
: the icon class to use in the Nav. Used in tag.templatePrefix
: a custom prefix for generated templates. Defaults to admin-<model>
.ignore
: an array of model fields to ignore in the UI. Defaults to ['id', 'createdAt', 'updatedAt']
templateDir
: a directory containing the list/form templates for the model. Defaults to none.displayName
: an alternate name to use for the display in the Admin UI. Defaults to model
.


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MatConvNet
Convolutional Neural Networks for MATLAB
1
Resources
2
Basic Information
2.1
Authors
2.2
Conference
2.3
Abstract
2.4
Keywords
3
Introduction
3.1
Problem & Solution
3.2
Objective
3.3
Formulation
3.4
Contributions
4
Related Work
5
Method Description
6
Experiment Evaluation
7
Conclusion
8
Note
Back to Index
1
Resources
Paper
Beamer
2
Basic Information
2.1
Authors
2.2
Conference
2.3
Abstract
2.4
Keywords
3
Introduction
3.1
Problem & Solution
3.2
Objective
3.3
Formulation
3.4
Contributions
4
Related Work
5
Method Description
6
Experiment Evaluation
7
Conclusion
8
Note


DOM Injection
* Your victim is a system that takes an activation key to allow you to use it.
* Your goal should be to try to get to enable the activate button.
* Take some time to see the HTML source in order to understand how the key validation process works.


I also added data from other sources, global population and oil price for the same years.
I also compared the correlation for the global oil price vs terrorist activity and it becomes significant with data shift by 2 - 5 years. That speaks for accumulative effect of oil trades on criminal activities in the regions of Russian and globally.
import pandas as pd
import numpy as np
import matplotlib as plt
%matplotlib inline
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import datetime
from dateutil.relativedelta import relativedelta
import seaborn as sns
import statsmodels.api as sm
from statsmodels.tsa.stattools import acf
from statsmodels.tsa.stattools import pacf
from statsmodels.tsa.seasonal import seasonal_decompose
from datetime import datetime
from urllib import urlretrieve
from zipfile import ZipFile
import pysal
from pandas.core import datetools
df = pd.read_csv('../../../../Google_Drive/GA_project_data/project_5/globalterrorismdb_0617dist.csv', low_memory=False)
def eda(dataframe):
print "missing values \n", dataframe.isnull().sum()
print "dataframe index \n", dataframe.index
print "dataframe types \n", dataframe.dtypes
print "dataframe shape \n", dataframe.shape
print "dataframe describe \n", dataframe.describe()
for item in dataframe:
print item
print dataframe[item].nunique()
eda(df)
missing values eventid 0 iyear 0 imonth 0 iday 0 approxdate 162886 extended 0 resolution 168131 country 0 country_txt 0 region 0 region_txt 0 provstate 14502 city 446 latitude 4606 longitude 4606 specificity 4 vicinity 0 location 122376 summary 66138 crit1 0 crit2 0 crit3 0 doubtterr 0 alternative 143719 alternative_txt 143719 multiple 0 success 0 suicide 0 attacktype1 0 attacktype1_txt 0 ... propextent 109805 propextent_txt 109805 propvalue 134863 propcomment 115919 ishostkid 178 nhostkid 157858 nhostkidus 157913 nhours 166649 ndays 162942 divert 170037 kidhijcountry 167051 ransom 94037 ransomamt 169071 ransomamtus 169854 ransompaid 169643 ransompaidus 169863 ransomnote 169879 hostkidoutcome 160439 hostkidoutcome_txt 160439 nreleased 161028 addnotes 144911 scite1 66200 scite2 100765 scite3 131133 dbsource 0 INT_LOG 0 INT_IDEO 0 INT_MISC 0 INT_ANY 0 related 147505 Length: 135, dtype: int64 dataframe index RangeIndex(start=0, stop=170350, step=1) dataframe types eventid int64 iyear int64 imonth int64 iday int64 approxdate object extended int64 resolution object country int64 country_txt object region int64 region_txt object provstate object city object latitude float64 longitude float64 specificity float64 vicinity int64 location object summary object crit1 int64 crit2 int64 crit3 int64 doubtterr int64 alternative float64 alternative_txt object multiple int64 success int64 suicide int64 attacktype1 int64 attacktype1_txt object ... propextent float64 propextent_txt object propvalue float64 propcomment object ishostkid float64 nhostkid float64 nhostkidus float64 nhours float64 ndays float64 divert object kidhijcountry object ransom float64 ransomamt float64 ransomamtus float64 ransompaid float64 ransompaidus float64 ransomnote object hostkidoutcome float64 hostkidoutcome_txt object nreleased float64 addnotes object scite1 object scite2 object scite3 object dbsource object INT_LOG int64 INT_IDEO int64 INT_MISC int64 INT_ANY int64 related object Length: 135, dtype: object dataframe shape (170350, 135) dataframe describe eventid iyear imonth iday \ count 1.703500e+05<PHONE_NUMBER>00<PHONE_NUMBER>00<PHONE_NUMBER>00 mean 2.001776e+11 2001.709997 6.474365 15.466845 std 1.314444e+09 13.144146 3.392364 8.817929 min 1.970000e+11 1970.000000 0.000000 0.000000 25% 1.990053e+11 1990.000000 4.000000 8.000000 50% 2.007121e+11 2007.000000 6.000000 15.000000 75% 2.014023e+11 2014.000000 9.000000 23.000000 max 2.017013e+11 2016.000000 12.000000 31.000000 extended country region latitude \ count<PHONE_NUMBER>00<PHONE_NUMBER>00<PHONE_NUMBER>00<PHONE_NUMBER>00 mean 0.043634 132.526669 7.091441 23.399774 std 0.204279 112.848161 2.949206 18.844885 min 0.000000 4.000000 1.000000 -53.154613 25% 0.000000 75.000000 5.000000 11.263580 50% 0.000000 98.000000 6.000000 31.472680 75% 0.000000 160.000000 10.000000 34.744167 max 1.000000 1004.000000 12.000000 74.633553 longitude specificity ... ransomamt \ count<PHONE_NUMBER>00<PHONE_NUMBER>00 ... 1.279000e+03 mean 26.350909 1.454428 ... 3.224502e+06 std 58.570068 1.009005 ... 3.090625e+07 min -176.176447 1.000000 ... -9.900000e+01 25% 2.396199 1.000000 ... 0.000000e+00 50% 43.130000 1.000000 ... 1.420000e+04 75% 68.451297 1.000000 ... 4.000000e+05 max 179.366667 5.000000 ... 1.000000e+09 ransomamtus ransompaid ransompaidus hostkidoutcome nreleased \ count 4.960000e+02 7.070000e+02 487.000000 9911.000000 9322.000000 mean 4.519918e+05 3.849663e+05 272.462012 4.624458 -28.717335 std 6.070186e+06 2.435027e+06 3130.068208 2.041008 58.737198 min -9.900000e+01 -9.900000e+01 -99.000000 1.000000 -99.000000 25% 0.000000e+00 -9.900000e+01 0.000000 2.000000 -99.000000 50% 0.000000e+00 0.000000e+00 0.000000 4.000000 0.000000 75% 0.000000e+00 7.356800e+02 0.000000 7.000000 1.000000 max 1.320000e+08 4.100000e+07 48000.000000 7.000000 1201.000000 INT_LOG INT_IDEO INT_MISC INT_ANY count<PHONE_NUMBER>00<PHONE_NUMBER>00<PHONE_NUMBER>00<PHONE_NUMBER>00 mean -4.583387 -4.510555 0.091083 -3.975128 std 4.542694 4.630440 0.583166 4.691492 min -9.000000 -9.000000 -9.000000 -9.000000 25% -9.000000 -9.000000 0.000000 -9.000000 50% -9.000000 -9.000000 0.000000 0.000000 75% 0.000000 0.000000 0.000000 0.000000 max 1.000000 1.000000 1.000000 1.000000 [8 rows x 77 columns] eventid 170350 iyear 46 imonth 13 iday 32 approxdate 1833 extended 2 resolution 1859 country 205 country_txt 205 region 12 region_txt 12 provstate 2494 city 33957 latitude 61028 longitude 60602 specificity 5 vicinity 3 location 39816 summary 101538 crit1 2 crit2 2 crit3 2 doubtterr 3 alternative 5 alternative_txt 5 multiple 2 success 2 suicide 2 attacktype1 9 attacktype1_txt 9 attacktype2 9 attacktype2_txt 9 attacktype3 7 attacktype3_txt 7 targtype1 22 targtype1_txt 22 targsubtype1 110 targsubtype1_txt 110 corp1 31300 target1 82975 natlty1 213 natlty1_txt 213 targtype2 22 targtype2_txt 22 targsubtype2 97 targsubtype2_txt 97 corp2 2474 target2 4790 natlty2 156 natlty2_txt 156 targtype3 20 targtype3_txt 20 targsubtype3 89 targsubtype3_txt 89 corp3 376 target3 665 natlty3 104 natlty3_txt 104 gname 3454 gsubname 1098 gname2 383 gsubname2 58 gname3 103 gsubname3 13 motive 13033 guncertain1 2 guncertain2 2 guncertain3 2 individual 2 nperps 112 nperpcap 50 claimed 3 claimmode 10 claimmode_txt 10 claim2 3 claimmode2 9 claimmode2_txt 9 claim3 2 claimmode3 8 claimmode3_txt 8 compclaim 3 weaptype1 12 weaptype1_txt 12 weapsubtype1 29 weapsubtype1_txt 29 weaptype2 11 weaptype2_txt 11 weapsubtype2 28 weapsubtype2_txt 28 weaptype3 10 weaptype3_txt 10 weapsubtype3 23 weapsubtype3_txt 23 weaptype4 5 weaptype4_txt 5 weapsubtype4 16 weapsubtype4_txt 16 weapdetail 18246 nkill 199 nkillus 30 nkillter 90 nwound 233 nwoundus 44 nwoundte 42 property 3 propextent 4 propextent_txt 4 propvalue 640 propcomment 18344 ishostkid 3 nhostkid 202 nhostkidus 27 nhours 35 ndays 313 divert 143 kidhijcountry 217 ransom 3 ransomamt 395 ransomamtus 22 ransompaid 136 ransompaidus 8 ransomnote 345 hostkidoutcome 7 hostkidoutcome_txt 7 nreleased 150 addnotes 14150 scite1 75887 scite2 56562 scite3 32562 dbsource 26 INT_LOG 3 INT_IDEO 3 INT_MISC 3 INT_ANY 3 related 20829
for i in df.columns:
print i, '\n'
print type(df[i][10])
print len(df[i].unique())
print df[i].unique()
print '========'


[gecode-users] BoolExpr example
Mikael Zayenz Lagerkvist
zayenz at gmail.com
Thu Nov 20 08:30:03 CET 2008
On Thu, Nov 20, 2008 at 7:52 AM, Malcolm Ryan <malcolmr at cse.unsw.edu.au> wrote:
> I'm not sure I understand that code. Would you mind explaining in more
> detail?
First of all, the loops in the code looping through layers can be
ignored for exposition, since they are there to handle the cases when
cards are in the bottom, middle, or top of a pile of three cards.
Assume that we have two piles of card (X1, X2, X3) and (Y1, Y2, Y3)
where Xv and Xv are integer variables, and where X2 and Y2 have the
same function for purposes of the game. The values of the cards
represent when they are played (note that I mistranslated the
condition in my earlier post, X1 and Y1 should be exchanged, as should
X3 and Y3). Now the code can be simplified to
// cond is the condition for the symmetry
BoolVarArgs ba(4);
// Both cards played after the ones on top of them
ba[0] = post(this, ~(X2 < Y3));
ba[1] = post(this, ~(Y2 < X3));
// Both cards played before the ones under them
ba[2] = post(this, ~(Y1 < X2));
ba[3] = post(this, ~(X1 < Y2));
// Cond holds when all the above holds
BoolVar cond(this, 0, 1);
rel(this, BOT_AND, ba, cond);
// If cond is fulfilled, then we can order the cards
// cond -> (X2 < Y2)
post(this, tt(!cond || ~(X2 < Y2)));
The ba-array holds a set Boolean variables for reified relations, and
the rel-function takes the conjunction of these. The final post just
uses the standard unfolding of an implication since there is no
implication-operator. You can also use the implication-function
together with post to get it:
post(this, tt(imp(cond, ~(X2 < Y2))));
> How do you do reified constraints in Gecode?
By using the reified post-functions, such as
rel(this, x, IRT_LE, y, b);
with x and y integer variables and b a Boolean control variable. In
MiniModel expressions, you can use the unary tilde-operator to reify
an expression:
BoolVar b = post(this, ~(x < y));
Cheers,
Mikael
--
Mikael Zayenz Lagerkvist, http://www.ict.kth.se/~zayenz/
More information about the gecode-users
mailing list


|
War CrimesArbitrarily, after World War II, the victorious Allies decided that certain behaviors, long tolerated during wartime, were suddenly "War Crimes" and therefore prosecutable. This renders a sheen of legitimacy over the expected mass execution of the opposition leadership. Of course, war crimes with the fortune of having been committed by the Allies themselves were overlooked: to the victors belong the spoils. One could argue that the Holocaust is atrocity enough to justify this sheen, and this is no doubt true; but the Japanese did not participate in extermination of European Jewry; they were prosecuted for fighting an aggressive war, regarded as a virtue prior to the Allied victory. Witness the Spanish-American War.
Geneva Conventions
|


|
||||||||||
| PREV NEXT | FRAMES NO FRAMES |
| Packages that use net.ontopia.topicmaps.schema.impl.osl | |
|---|---|
| net.ontopia.topicmaps.schema.impl.osl | The classes and interfaces used to represent constructs in the Ontopia Schema Language. |
| net.ontopia.topicmaps.schema.impl.osl.cmdline | |
| net.ontopia.topicmaps.schema.utils | Contains classes containing useful utilities that make working with schemas easier. |
| net.ontopia.topicmaps.webed.core | The core interfaces of the Web Editor Framework; the main interfaces used to build Web Editor applications. |
| net.ontopia.topicmaps.webed.impl.actions.tmobject | Web editor action classes dealing with more than one kind of topic map object. |
| net.ontopia.topicmaps.webed.impl.actions.topicmap | The implementation of the action interfaces belonging to Ontopia's web editor framework related to the execution of modifications of the topic map. |
| net.ontopia.topicmaps.webed.impl.utils |
| Classes in net.ontopia.topicmaps.schema.impl.osl used by net.ontopia.topicmaps.schema.impl.osl | |
|---|---|
| AbstractCardinalityConstraint
INTERNAL: Common base class for constraints which have cardinality facets. |
|
| AbstractScopedCardinalityConstraint
INTERNAL: Common base class for constraints which have cardinality and scope facets. |
|
| AbstractScopedTypedCardinalityConstraint
INTERNAL: Common base class for constraints which have cardinality, type, and scope facets. |
|
| AbstractTypedCardinalityConstraint
INTERNAL: Common base class for constraints which have cardinality and type facets. |
|
| AssociationClass
INTERNAL: Represents an association class definition. |
|
| AssociationRoleConstraint
INTERNAL: Represents a constraint on the association roles of an association. |
|
| OccurrenceConstraint
INTERNAL: Represents a constraint on the occurrences of a class of topics. |
|
| OSLSchema
PUBLIC: Represents an entire OSL schema. |
|
| RuleSet
INTERNAL: Represents a rule set, that is, a collection of reusable topic constraints. |
|
| ScopedConstraintIF
INTERNAL: Interface implemented by all constraints which constrain the scopes of topic map constructs. |
|
| ScopeSpecification
INTERNAL: Represents a specification of a particular class of scopes. |
|
| TopicClass
INTERNAL: Represents a topic class definition. |
|
| TopicConstraintCollection
INTERNAL: Abstract superclass for objects that contain topic constraints. |
|
| TopicNameConstraint
INTERNAL: Represents a constraint on a base name within a topic class definition. |
|
| TopicRoleConstraint
INTERNAL: Represents a constraint on the allowed association roles of the instances of a topic class. |
|
| TypedConstraintIF
INTERNAL: Interface implemented by constraints and classes which constrain the type of a topic map object. |
|
| TypeSpecification
INTERNAL: Represents the allowed type of a topic map object. |
|
| VariantConstraint
INTERNAL: Represents a constraint on the allowed variant names of a base name. |
| Classes in net.ontopia.topicmaps.schema.impl.osl used by net.ontopia.topicmaps.schema.impl.osl.cmdline | |
|---|---|
| AssociationRoleConstraint
INTERNAL: Represents a constraint on the association roles of an association. |
|
| OSLSchema
PUBLIC: Represents an entire OSL schema. |
|
| ScopeSpecification
INTERNAL: Represents a specification of a particular class of scopes. |
|
| TypeSpecification
INTERNAL: Represents the allowed type of a topic map object. |
| Classes in net.ontopia.topicmaps.schema.impl.osl used by net.ontopia.topicmaps.schema.utils | |
|---|---|
| ScopeSpecification
INTERNAL: Represents a specification of a particular class of scopes. |
|
| TypeSpecification
INTERNAL: Represents the allowed type of a topic map object. |
| Classes in net.ontopia.topicmaps.schema.impl.osl used by net.ontopia.topicmaps.webed.core | |
|---|---|
| OSLSchema
PUBLIC: Represents an entire OSL schema. |
| Classes in net.ontopia.topicmaps.schema.impl.osl used by net.ontopia.topicmaps.webed.impl.actions.tmobject | |
|---|---|
| OSLSchema
PUBLIC: Represents an entire OSL schema. |
| Classes in net.ontopia.topicmaps.schema.impl.osl used by net.ontopia.topicmaps.webed.impl.actions.topicmap | |
|---|---|
| OSLSchema
PUBLIC: Represents an entire OSL schema. |
| Classes in net.ontopia.topicmaps.schema.impl.osl used by net.ontopia.topicmaps.webed.impl.utils | |
|---|---|
| OSLSchema
PUBLIC: Represents an entire OSL schema. |
|
| ScopeSpecification
INTERNAL: Represents a specification of a particular class of scopes. |
|
| TypeSpecification
INTERNAL: Represents the allowed type of a topic map object. |
|
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| PREV NEXT | FRAMES NO FRAMES |


The GSVA (Gene Set Variation Analysis) (Hänzelmann, S., Castelo, R. & Guinney, J. GSVA: gene set variation analysis for microarray and RNA-Seq data. BMC Bioinformatics 14, 7 (2013).) is a popular method for GSE (Gene Set Enrichment) and allows the identification of changes in pathway activity in RNA-Seq data. The Cell Annotation & Pathway Analysis tab in the singleCellTK offers the computation and visualization of pre-selected gene sets through GSVA sub-tab. The gene sets can be selected from several databases integrated within the toolkit or can be uploaded/created by the users.
The figure below describes the workflow of using GSVA through singleCellTK user interface:
Before running the GSVA algorithm, the gene sets must be selected or uploaded through the Import Gene Sets sub-tab from the Data tab in the toolkit menu. An overall workflow guide on how to import/upload gene sets and consequently using them with GSVA sub-tab is described below. This workflow guide assumes that the SingleCell Data* has already been uploaded through the Import Single Cell Data sub-tab.**
Select the Data tab from the singleCellTK top menu.
Select the Import Gene Sets from the drop-down menu.
Users can choose the Upload a GMT file option to upload gene sets directly stored in a GMT file or choose Select from a database option to select gene sets from multiple databases integrated within the toolkit or lastly choose the Paste in your gene set option to paste gene identifiers directly into the user-interface to create a gene set.


Watching Shereef's fireside chat really solidified much of what I thought about DBC. I was hoping for a transformative experience and I think that is what I will be getting. I had been studying on-line, went to meet-ups and hack and chats but I hadn't really learned anything (I'll admit it I occassionally copy and paste from Stackoverflow.) Shereef's emphasis on not exclusively teaching coding and languages but on developing the whole person who happens to be a software engineer; someone who is curious and passionate as well as compassionate, self-aware and who has empathy for others, someone who looks for solutions (kitchen chef) not results (restuarant patron). That resonated with me.
I am nervous about the next few months but excited. We're off to see the Wizard...


A PRICE ABOVE RUBIES Directed by Boaz Yakin The last time Hollywood appropriated New York's Orthodox Jewish community as a backdrop for drama the result was the infamous "A Stranger Among Us," which featured the absurd sight of Melanie Griffith, practically the poster girl for goyim, trying to pass herself off as a Hassidic to investigate a murder. Despite the controversy it generated during its production, "A Price Above Rubies" turns out to be a much more credible, albeit critical, look at a secretive, low-key society. Writer-director Boaz Yakin has fashioned a mostly compelling story of a woman's search for identity in a world dominated largely by men, and Renee Zellweger, previously best known as the sweet mom from "Jerry Maguire," delivers a quietly stunning performance in the lead. "Rubies" centers around Sofia (Zellweger), who grew up in an Orthodox home and married a great scholar, just as her parents wanted her to. But now, after having a baby and moving to New York with her husband Mendel (Glenn Fitzgerald), Sofia's starting to feel constrained and claims she's being tormented by an "inner fire." "I don't even know where my body ends and my soul begins," Sofia tells her Rebbe (John Randolph) after Mendel shames her for her enthusiasm in bed and she unintentionally makes a pass at her stern sister-in-law Rachel (Julianna Margulies). Using his sister-in-law's confusion and her natural talent for determining the quality of jewels to his own advantage, Mendel's less-reverent brother Sender (Christopher Eccleston) seduces Sofia, then puts her to work as a buyer for his jewelry store. Sofia's affair doesn't bring her liberation or even the sexual release she seems to be craving, but it does finally present her with the opportunity to have some control over her own life. Zellweger has a face the camera adores and a low-key charm that makes Sofia almost instantly recognizable, even though the culture she's a part of seems quaint and foreign at first. Although "Rubies" veers perilously close to melodrama in its last third, Zellweger's honesty keeps the movie on track. Eccleston and Fitzgerald are both fine as the men Sofia is caught between, and Margulies, in a surprisingly unsympathetic role, is suitably severe. Yakin, also previously looked into the world of ghetto youths in his smart and insightful "Fresh," manages to blend a certain degree of mysticism into his drama without turning it into incomprehensible nonsense. Most authors wouldn't even dare to have Sofia plagued by visions of the ghost of her beloved brother: In Yakin's hands, it seems perfectly logical. James Sanford
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
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Related links: index of all rec.arts.movies.reviews reviews


Write below your algorithms.
Input your data.
Here is the output.
Program not started.
Load program
Step
Complete
Get state


This reimplements all of the standard APIs with the following changes:
- A document_class argument must be an NDB Model class.
- A document must be an NDB Model instance.
- get_document() always returns an NDB Model instance.
The exceptions and public constants exported by the standard module
are re-exported here.


Lotussphere Presentation Batch Download
Lotusphere 2008 online features 177 PDF files with the session presentations. You can download it in one go. You need:
1) A valid username / password for LS08 online (so it is for attendees only)
2) WGet to download http files in batch
3) This cmd file
4) replace your username / password in the cmd file.
The cmd file will only fetch the presentation files that don't exist already.
Enjoy!
Update: Get the MAC version of the script from Volker.
Update 2: The script now includes the ZIP files from the hands-on session.
Update 3: As of Jan 29 it seems that the PDFs have been removed from the download location the script is looking for them. Was the script too popular?
1) A valid username / password for LS08 online (so it is for attendees only)
2) WGet to download http files in batch
3) This cmd file
4) replace your username / password in the cmd file.
The cmd file will only fetch the presentation files that don't exist already.
Enjoy!
Update: Get the MAC version of the script from Volker.
Update 2: The script now includes the ZIP files from the hands-on session.
Update 3: As of Jan 29 it seems that the PDFs have been removed from the download location the script is looking for them. Was the script too popular?
Posted by Stephan H Wissel on 28 January 2008 | Comments (14) | categories: Lotusphere


p2f Module Reference
p2f is a program for converting particle lists from the ORBIT-rf code into continuous distribution functions for use in AORSA, amoung other things.
More...
|
Variables |
|
integer(kind=LONG) | i |
|
integer(kind=LONG) | j |
|
integer(kind=LONG) | k |
|
real | T1 |
|
real | T2 |
|
integer | mpi_count |
|
integer | nP_wall_total |
|
integer | nP_bad_total |
|
integer | nP_off_vGrid_total |
|
integer | nP_badWeight_total |
|
real | tmpDensity |
| | Test description.
|
Detailed Description
p2f is a program for converting particle lists from the ORBIT-rf code into continuous distribution functions for use in AORSA, amoung other things.


Kevin & Perry Go Large 1/2
Rated on a 4-star scale Screening venue: Odeon (Liverpool City Centre) Released in the UK by Icon on 21 April, 2000; certificate 15; 83 minutes; country of origin UK/USA; aspect ratio 1.85:1
Directed by Ed Bye; produced by Harry Enfield, Peter Bennett-Jones, Jolyon Symonds. Written by David Cummings, Harry Enfield. Photographed by Alan Almond; edited by Mark Wybourn.
CAST..... Harry Enfield..... Kevin Kathy Burke..... Perry Rhys Ifans..... Eye Ball Paul Laura Fraser..... Candice Tabitha Wady ..... Gemma James Fleet..... Dad Louise Rix..... Mum
What we have here is the worst possible way to adapt "Harry Enfield's Television Programme" for the big screen. "Kevin & Perry Go Large" simply takes the most tiresome and obnoxious routine to ever play on that comedy sketch show and spins it out to feature length. Enfield could have given us a better film by searching the video vaults of the British Broadcasting Corporation for anything he'd previously done, arranging it in any order and transferring the result straight to celluloid.
The title characters, played by Enfield and Kathy Burke, are two teenage slobs desperate to lose their virginity.  Whenever they see girls they leer, drool and make loud whimpering noises like dogs with rabies and bullet wounds.
As fans of computerised 'dance music', the pair decide they will take a summer vacation to Ibiza, where English clubs are big, and, according to Perry, "It'll be easy to get a shag!"  But of course the film must end with some ladies jumping all over them, after an 83-minute journey of whatever lame sight gags the filmmakers come up with. You can predict every move of a film like this just by looking at the trailer.
According to Enfield, who co-wrote, it's a send-up of the teenage years. But if satire is the intention the method is too ham-handed and obvious. Kevin and Perry say things like "I'm a profound artist waiting to be discovered," and we're supposed to laugh just because they're so oblivious to their own stupidity. I find Enfield's own attitude funnier than that of his characters. He thinks he's given us a sharp comedic commentary, when he's really just created two annoying dopes and surrounded them with toilet humour. "Kevin & Perry Go Large" finds grand mirth in close-ups of acne, erections, gaping jaws and defecation. The film's most sophisticated running joke is that Kevin puts on an awkward James Bond voice whenever he is in female company. And what are we supposed to make of the fact that this is a professionally-made motion picture featuring an adult man and woman playing adolescent boys?
Teenage virginity is indeed embarrassing. I remember my own -- a period in which the only thing my friends and I ever thought about was getting laid. The constant chasing after girls, the silly 'foolproof' plans on how to woo them and the pathetic adherence to bad fashions in an attempt to impress them could all make a poignant, funny movie. I did not expect "Kevin & Perry Go Large" to be that movie, but that doesn't change its badness, or the fact that its budget could have been better spent.
The film does have one funny moment. It comes when Kevin's parents have agreed to let him and Perry go to Ibiza. The boys look down at the kitchen table, and are momentarily shocked by the huge logo on the plane tickets: Virgin Airlines.
COPYRIGHT(c) 2000 Ian Waldron-Mantgani Please visit, and encourage others to visit, the UK Critic's website, which is located at http://members.aol.com/ukcritic
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


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Apigee Geolocation Sample App
This sample app will show you how to use the geolocation features of the Apigee JavaScript SDK, including:
- Creating an entity with location data
- Querying the Apigee API for entities based on location
IMPORTANT - BEFORE YOU BEGIN
Be sure the Apigee JavaScript SDK (apigee.js) is properly included in this project.
See /samples/Readme.md for more information on including the SDK.
Start
Apigee Geolocation Sample App
This app show the basics of working with the geolocation features of the Apigee JavaScript SDK. Click each button to execute an API call and see its response. For this app to work properly you must execute the add step before you can query. You also must also run this in a browser with location sharing enabled.
To view the code and more detailed comments on how this app operates, open js/index.js.
- Create a new entity with location data
Creates a new 'device' entity with location data.
Add
- Query by location
Queries the 'devices' collection for all 'device' entities within 16000 meters of your current locations.
Query
Apigee Geolocation Sample App
Back


PICS: First Lady visits selfless Mbare Gogo who delivered 100 babies in 1 week while nurses went on strike
by Sharon ChirisaFirst Lady visits selfless Mbare Gogo who delivered 100 babies
The First Lady Auxillia Mnangagwa yesterday visited the Mbare midwife Mrs Gwena, who is assisting women to deliver following the strike by council nurses.
She donated an assortment of foodstuffs and toiletries to the midwife .
Mbuya Gwena grabbed the headlines after she assisted expecting mothers and delivered about 100 babies last week alone.
Her efforts come at a time when the medical sector is in chaos with medical staff striking over paltry salaries and poor working conditions.
Some of the women who can not afford the costly services of private doctors have turned to Gogo Esther Gwena.
Gogo Esther Gwena is a midwife with St Johns Apostolic Church.
Images by Zimpapers
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PIC: SHOCKING…This is what your Grade 3 kids are learning at school under the New Curriculum!
To View and Apply for the latest Jobs and Vacancies in Zimbabwe, Please Visit our Sister website iHarare Jobs


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The embedded systems for UTRA's autonomous humanoid soccer-playing robot
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Modern Chemistry
作者：
Mickey Sarquis
&
Jerry L. Sarquis
分类：
化学 - 基础化学
出版商：Houghton Mifflin Harcourt
语言：英语
百度盘下载
提取码是：8f5n
书籍目录
Matter and Change
Measurements and Calculations
Atoms: The Building Blocks of Matter
Arrangement of Electrons in Atoms
The Periodic Law
Chemical Bonding
Chemical Formulas and Chemical Compounds
Chemical Equations and Reactions
Stoichiometry
States of Matter
Gases
Solutions
Ions in Aqueous Solutions and Colligative Properties
Acids and Bases
Acid-Base Titration and pH
Reaction Energy
Reaction Kinetics
Chemical Equilibrium
Oxidation-Reduction Reactions
Electrochemistry
Nuclear Chemisry
Organic Chemistry
Biological Chemistry
书籍简介
本书pdf是
文字版
，
彩图版
。
Matter and Change
Measurements and Calculations
Atoms: The Building Blocks of Matter
Arrangement of Electrons in Atoms
The Periodic Law
Chemical Bonding
Chemical Formulas and Chemical Compounds
Chemical Equations and Reactions
Stoichiometry
States of Matter
Gases
Solutions
Ions in Aqueous Solutions and Colligative Properties
Acids and Bases
Acid-Base Titration and pH
Reaction Energy
Reaction Kinetics
Chemical Equilibrium
Oxidation-Reduction Reactions
Electrochemistry
Nuclear Chemisry
Organic Chemistry
Biological Chemistry


From your recent tweet @Harkaway I learned that you’re John le Carrè’s son. I happened to have one of each of your novels on my Kindle. Read them one after the other to make a little father-son duology (Tigerman then The Spy Who Came in from the Cold). Thanks for the great reads!
10/28/2020, 4:15:42 AM
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Samuel Kwon's PUBG weapon list
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Business Name: Pizza Pizza
Reviewer Email<EMAIL_ADDRESS>Comments: Amazing! Taste aswesome.
Overall Raitng: 95%
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Chef Noel McMeel on having the most exciting career in the world
A chef's life is not dull. It's the most exciting career in the world. Whether it's royalty, rock stars, presidents, Prime Ministers or Dorothy down the road, it's a humbling privilege to be able to cook for someone else Noel McMeel
HE'S cooked for President Obama and other world leaders and provided the wedding banquet for Paul McCartney, but Antrim-born chef Noel McMeel's real passion is in using and promoting Northern Ireland produce in a "simple but delicious" way.
McMeel (51) was brought up on a dairy farm, where his love of growing produce and cooking was first fostered. "I remember being fascinated with watching mum cook," he enthuses.
"My first attempt at cooking was an orange cake and I remember watching the magic of the cake rising and being bloody surprised."
As a young boy, McMeel also enjoyed success an all-Irish dancing champion and between the ages of 14 and 21 he was a member of two international Irish dancing troupes.
"I remember cooking at the White House in Washington and telling Michael Flatley how we had met many years ago in Chicago, long before Riverdance, when we were part of a concert troupe. I remember getting off one plane from an American tour and boarding another for Europe. It was a privilege."
So, at what point did his desire to cook overtake his dancing career?
"I had the chance to go onto do dance teaching, but the fact is you follow your heart – and I loved to cook."
The chef's passion for cooking would also take him all over the world. After studying at the Northern Ireland Hotel and Catering College and training in a number of restaurants, including with Paul Rankin at Roscoff, he earned a scholarship to attend Johnson & Wales University in Providence, Rhode Island. Jobs in prestigious restaurants including the Watergate Hotel in Washington DC and Chez Panisse in San Francisco followed.
McMeel could easily have based himself in the US, but a genuine love for his home country and its produce brought him home.
"I worked with some of the best chefs in the world and realised that, basically, the tools I needed were the tools I was given by my parents.
"Growing up we were very much self-sufficient," he enthuses.
"We hung onions in the hay shed to preserve them, we produced our own milk and grew our own vegetables and fruit. Even now I have my own chickens and my own garden with three or four different varieties of apple trees."
His home life had a huge influence on his current job as executive head chef at Lough Erne Resort, where McMeel places a huge emphasis on the seasonality of food and his thirst for knowledge about how his food supplies are produced – something he is also keen to educate his diners about.
"I would say to all chefs out there, you need to do more than put the suppliers name on your menu. You need to get to know these people – where their produce comes from, how do they make it and what the taste is all about.
"That's why I pay homage to the likes of Broighter Gold rapeseed oil, Abernethy butter, Lisdergan Meats in Fintona and Long Meadow apple juice, as they are the ones who are self sufficient and are sharing their produce and knowledge with me.
"One of our starter dishes tells about our three indigenous products in Northern Ireland; Comber potato, smoked Toomebridge eel and Armagh Bramley apple."
Next year, Noel has planned The Year of Food at Lough Erne Resort, telling the story of the people behind the food produce used in the hotel. Each month will feature different produce, with January being about the Irish breakfast.
"Food is the new currency of Ireland and we should be proud to share that," says McMeel, who believes many of our products are worthy of being on a world stage.
"Yes, Brexit brings uncertainty – but great produce travels far."
McMeel's debut book Irish Pantry, which showcases "modern Irish food" as well as tell his story of growing up in Northern Ireland, was named the third best cookbook in the world in 2014. He is currently planning another, due to be published in 2021, which will also feature stories on famous people he has cooked for.
These include actor Colin Farrell, who forwent the luxury of the hotel's Catalina restaurant to dine in the sanity of McMeel's office.
"There were people running to see him as he walked from the toilet and I said to him, come on into the kitchen. Sometimes these stars just want to be human and enjoy their food in peace," he laughs.
"A chef's life is not dull. It's the most exciting career in the world and I'm probably one of the luckiest chefs in Ireland having being able to travel and cook for some amazing people. Whether it's royalty, rock stars, presidents, Prime Ministers or Dorothy down the road, it's a humbling privilege to be able to cook for someone else."
Last month Irish News readers voted The Catalina Restaurant as the Best Hotel Restaurant and overall Greatest Place to Eat in the inaugural 2019 Irish News Great Places to Eat Awards in association with Food NI and Henderson Foodservice.
But why does McMeel feel that the three AA Rosette-rated restaurant is so popular?
"The food", he laughs.
"Fine dining is very much an experience. It's a bit like going to the opera and it's how we perform – the service, the food, the wine, the knowledge is all part and parcel of all of that and the restaurant also boasts three big windows with stunning views.
"I'm only as good as the chefs I have around me. I've got a good living kitchen – they are not slaves. I treat them with great respect and they treat me with respect and it's a win win situation."
"Every kitchen should be the same," adds McMeel, who tries to meet his diners whenever possible.
Christmas is a very busy time within the hospitality industry, but it's McMeel's favourite time of the year.
"As we get older, we complicate so much of our lives rushing to do things – we've lost touch of our senses: the colours and smells of the season, particularly Christmas puddings, evoke amazing memories of childhood.
"Christmas is a very special time for me. I love it."
:: Lougherneresort.com/catalina-restaurant
TRY THESE MICHAEL MCNEEL RECIPES
:: Traditional Treacle Bread
Ingredients:
170g/6oz soda bread flour
3tblsp warm treacle
½ tsp salt
½ tsp sugar
290ml/½ pint buttermilk
You can add some nuts or dried mixed fruit (65g) to gain different flavours (optional)
Method:
1.Preheat the oven to 400F/200C/Gas 6.
2. Tip the flour, salt and sugar into a large mixing bowl and stir.
3. Make a well in the centre, mix the buttermilk and treacle together and mix, pour in the buttermilk mixture, mixing quickly with a large fork to form a soft dough. (Depending upon the absorbency of the flour, you may need to add a little milk if the dough seems too stiff but it should not be too wet or sticky.)
4.Turn onto a lightly floured surface and knead briefly, remembering not to mix to much.
5. Form into a round and flatten the dough slightly before placing on a lightly floured baking sheet.
6. Cut a cross on the top and bake for about 30 minutes or until the loaf sounds hollow when tapped. Cool on a wire rack.
:: Dauphinoise Potatoes
(Perfect for serving with fillet of beef)
Ingredients:
500ml double cream
500ml Milk
3 garlic cloves
8 large King Edward or Maris Piper Potatoes
100g grated Gruyere cheese (optional)
Method:
Heat oven to 190C/170C fan/gas 5.
Tip 500ml double cream, 500ml milk and 3 garlic cloves into a large saucepan and bring to a simmer.
Slice 8 large potatoes very finely, about 3-4mm, add them to the cream and simmer for 3 mins until just cooked.
Gently stir to separate the potato and stop it sinking and catching on the bottom of the pan.
Remove the potatoes with a slotted spoon and place in a wide shallow ovenproof dish so that they are about 5cm in depth.
Pour over the garlic infused cream (discarding the garlic) – just enough to seep through the layers and leave a little moisture on the surface.
Scatter over 100g grated Gruyère cheese, if using, then bake for 30 mins until the potatoes are soft and browned – increase the heat for 5 mins if not brown enough.


When you work with us,you are part of a team of committed collaborators. All aspects of our software development process are intergrated, interactive and agile.
Our approach unifies design,development and product management to create exceptional products.
We start each project by understanding your business goals,the user's needs and the product requirements.
Then we help translate them into effective and elegant solutions.
Before we sign a contract or write a line of our code team will spend the necessary time needed to understand your product vision.
The outcome of this scoping session in a proposal or high-level statement of work.
Based on your requirements,we can provide a complete offering or just the pieces you need.


You need not to be a technocrat to become a volunteer.
We are a nonprofit, volunteer run community comprising of enthusiastic Mozillians, FSAs (Firefox Student Ambassadors), FSA club leads and ReMos(Mozilla Representatives), working actively to promote free and open web, supporting community promoting our mission not limited to any area or locality.
Mozilla Delhi is one of the active communities of Mozilla in India.
We build upon Mozilla's mission to make the web accessible to everyone and believe that, Internet is for the people, by the people and of the people. The Mozpacers community is actively contributing to create awareness about open source softwares and open source communities.
All the official discussions take place here.Only the core contributors of the community are members of this group. https://mozpacers.slack.com/
Social communication channel of Mozpacers https://www.facebook.com/mozpacers
Social communication channel of Mozpacers https://twitter.com/mozpacers
Official task management platform https://trello.com/mozpacers1
This SOP(Standard Operating Procedure) has to be followed by all the core contributors of Mozpacers.The intention of SOP is to develop clear guidelines for the community so that everyone is aware of Do’s and Don’ts of the community.
Twitter handles @mozpacers @mozilla


#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from core.evaluation.superclass import *
[docs]class TruePositive(BinaryEvaluation):
"""
Calculate the True-Positive between prediction and ground truth
The True-Positive indicate the proportion of the actual occupied states that are correctly identified
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: int
:return: number of entries that is TP
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
occupied_index = self.truth > 0
return (self.predict[occupied_index] > 0).sum()
[docs]class TrueNegative(BinaryEvaluation):
"""
Calculate the True-Negative between prediction and ground truth
The True-Negative indicate the proportion of the actual unoccupied states that are correctly identified
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: int
:return: number of entries that is TN
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
unoccupied_index = self.truth < 0.5
return (self.predict[unoccupied_index] == 0).sum()
[docs]class FalsePositive(BinaryEvaluation):
"""
Calculate the False-Positive between prediction and ground truth
The False-Positive indicate the proportion of the actual unoccupied states that are identified as occupied
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: int
:return: number of entries that is FP
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
unoccupied_index = self.truth < 0.5
return (self.predict[unoccupied_index] > 0).sum()
[docs]class FalseNegative(BinaryEvaluation):
"""
Calculate the False-Negative between prediction and ground truth
The False-Negative indicate the proportion of the actual occupied states that are identified as unoccupied
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: int
:return: number of entries that is FN
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
occupied_index = self.truth > 0
return (self.predict[occupied_index] == 0).sum()
[docs]class Recall(BinaryEvaluation):
"""
Calculate the Recall between prediction and ground truth
Recall is the percentage of the true occupied states which are identified by TP/(TP+FN)
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: float
:return: Recall score
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
occupied_index = self.truth > 0
tp = (self.predict[occupied_index] > 0).sum()
fn = (self.predict[occupied_index] == 0).sum()
return tp / (tp + fn)
[docs]class Fallout(BinaryEvaluation):
"""
Calculate the Fallout between prediction and ground truth
The Fallout are identified by FP/(FP+TN)
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: float
:return: Fallout score
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
unoccupied_index = self.truth < 0.5
tn = (self.predict[unoccupied_index] == 0).sum()
fp = (self.predict[unoccupied_index] > 0).sum()
return fp / (fp + tn)
[docs]class Missrate(BinaryEvaluation):
"""
Calculate the Missrate between prediction and ground truth
The Missrate are identified by 1 - Recall
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: float
:return: Missrate score
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
occupied_index = self.truth > 0
tp = (self.predict[occupied_index] > 0).sum()
fn = (self.predict[occupied_index] == 0).sum()
return fn / (tp + fn)
[docs]class Selectivity(BinaryEvaluation):
"""
Calculate the Selectivity between prediction and ground truth
The Selectivity are identified by 1 - Fallout
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: float
:return: Selectivity score
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
unoccupied_index = self.truth < 0.5
tn = (self.predict[unoccupied_index] == 0).sum()
fp = (self.predict[unoccupied_index] > 0).sum()
return tn / (fp + tn)
[docs]class Precision(BinaryEvaluation):
"""
Calculate the Precision between prediction and ground truth
The Precision indicates the percentage of occupancy predictions which are correct by TP/(TP+FP)
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: float
:return: Precision score
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
occupied_index = self.truth > 0
unoccupied_index = ~occupied_index
tp = (self.predict[occupied_index] > 0).sum()
fp = (self.predict[unoccupied_index] > 0).sum()
return tp / (tp + fp)
[docs]class F1Score(BinaryEvaluation):
"""
Calculate the F1 Score between prediction and ground truth
The F1 Score are identified by 2 * TP / (2 * TP + FP + FN)
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: float
:return: F1 Score score
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
occupied_index = self.truth > 0
unoccupied_index = ~occupied_index
tp = (self.predict[occupied_index] > 0).sum()
fn = (self.predict[occupied_index] == 0).sum()
fp = (self.predict[unoccupied_index] > 0).sum()
return 2 * tp / (2 * tp + fn + fp)
[docs]class Accuracy(BinaryEvaluation):
"""
Calculate the Accuracy between prediction and ground truth
The Accuracy are identified by percentage of correct prediction
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:rtype: float
:return: Accuracy score
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
[docs] def run(self):
occupied_index = self.truth > 0
tn = (self.predict[~occupied_index] == 0).sum()
tp = (abs(self.predict[occupied_index] - self.truth[occupied_index]) <= 0).sum()
return (tn + tp) / self.truth.shape[0]
[docs]class AccuracyTolerance(OccupancyEvaluation):
"""
Calculate the AccuracyTolerance between prediction and ground truth
The AccuracyTolerance are identified same as Accuracy, but with differences smaller than the given tolerance
will be considered as a correct prediction
:parameter predict: the predicted values from occupancy estimation models
:type predict: numpy.ndarray
:parameter truth: the ground truth value from the Dataset
:type truth: numpy.ndarray
:parameter tolerance: the maximum differences between prediction and truth to mark as correct
:type tolerance: int
:rtype: float
:return: AccuracyTolerance score
"""
def __init__(self, predict, truth):
self.predict = predict
self.truth = truth
self.tolerance = 0
[docs] def run(self):
occupied_index = self.truth > 0
tn = (self.predict[~occupied_index] == 0).sum()
tp = (abs(self.predict[occupied_index] - self.truth[occupied_index]) <= self.tolerance).sum()
return (tn + tp) / self.truth.shape[0]


My mother has blue eyes and my father has dark green eyes.
You can use the height and width attributes to specify the size of the iframe:
The Scream by Edvard Munch. Painted in 1893.
This example does not really do anything, other than showing you how to add the viewport meta element.
London is the capital of England.
Paris is the capital of France.
Tokyo is the capital of Japan.
Click the button to hide all elements with class name "city":
London is the capital of England.
Paris is the capital of France.
Tokyo is the capital of Japan.
| Firstname | Lastname | Age |
|---|---|---|
| Jill | Smith | 50 |
| Eve | Jackson | 94 |
| John | Doe | 80 |


Segmentation Brush Example
This page contains an example of the segmentation paintbrush tool
Go back to the Examples page
Controls:
Left click paint
Middle Mouse button drag - pan
Right click drag - zoom
Erase
Type
Default
Adaptive
Radius:
3
px


Survey Form
Kondrakhov Igor survay form for freeCodeCamp
Name
Email
Age
Выберите героя
Tracer
D.Va
Tank
Damage
Support
Hero
Vilan
Femail
Mail


Rescatamos perros en situacion de peligro y/o abandono. Los rehabilitamos y los preparamos para buscarles un hogar.
Sigue nuestras redes sociales para informarte acerca de las diversas campañas y actividades que realizamos para obtener financiamiento para seguir ayudando.
CAMPAÑASHere is some more information about this product that is only revealed once clicked on.
Here is some more information about this product that is only revealed once clicked on.
Here is some more information about this product that is only revealed once clicked on.
Here is some more information about this product that is only revealed once clicked on.


Blind users do not have access to the graphical output from R without printing the content of graphics windows to an embosser of some kind. This is not as immediate as is required for efficient access to statistical output. The functions here are created so that blind people can make even better use of R. This includes the text descriptions of graphs, convenience functions to replace the functionality offered in many GUI front ends, and experimental functionality for optimising graphical content to prepare it for embossing as tactile images.
| Version: | 0.29.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | devtools, dplyr, extrafont, ggplot2, grid, gridGraphics, gridSVG, hunspell, knitr, magrittr, moments, nortest, reticulate, rmarkdown, roloc, rolocISCCNBS, utils, whisker, XML, xtable |
| Suggests: | installr |
| Published: | 2018-08-10 |
| Author: | A. Jonathan R. Godfrey [aut, cre], Debra Warren [aut], Donal Fitzpatrick [ctb], Duncan Murdoch [ctb], Greg Snow [ctb], Henrik Bengtsson [ctb], James Curtis [ctb], JooYoung Seo [ctb], Marshall Flax [ctb], Paul Murrell [aut], Timothy Bilton [aut], Tony Hirst [ctb], Tsan-Kuang Lee [ctb], Volker Sorge [aut], Yihui Xie [ctb] |
| Maintainer: | A. Jonathan R. Godfrey <a.j.godfrey at massey.ac.nz> |
| BugReports: | https://github.com/ajrgodfrey/BrailleR/issues |
| License: | GPL-2 |
| URL: | https://github.com/ajrgodfrey/BrailleR |
| NeedsCompilation: | no |
| SystemRequirements: | Python 2.7 and wxPython 2.8 |
| Citation: | BrailleR citation info |
| Materials: | NEWS |
| CRAN checks: | BrailleR results |
| Reference manual: | BrailleR.pdf |
| Vignettes: |
History Example 1: Histograms Example 2: Basic numerical summaries Example 3: Univariate Description Example 4: A single continuous response with one grouping factor GettingStarted IntroWriteR qplot |
| Package source: | BrailleR_0.29.1.tar.gz |
| Windows binaries: | r-devel: BrailleR_0.29.1.zip, r-release: BrailleR_0.29.1.zip, r-oldrel: BrailleR_0.29.1.zip |
| OS X binaries: | r-release: BrailleR_0.29.1.tgz, r-oldrel: BrailleR_0.29.1.tgz |
| Old sources: | BrailleR archive |
Please use the canonical form https://CRAN.R-project.org/package=BrailleR to link to this page.