"""
Generating and counting primes.
"""
from __future__ import print_function, division
import random
from bisect import bisect
# Using arrays for sieving instead of lists greatly reduces
# memory consumption
from array import array as _array
from .primetest import isprime
from sympy.core.compatibility import as_int, range
def _arange(a, b):
ar = _array('l', [0]*(b - a))
for i, e in enumerate(range(a, b)):
ar[i] = e
return ar
[docs]class Sieve:
"""An infinite list of prime numbers, implemented as a dynamically
growing sieve of Eratosthenes. When a lookup is requested involving
an odd number that has not been sieved, the sieve is automatically
extended up to that number.
>>> from sympy import sieve
>>> from array import array # this line and next for doctest only
>>> sieve._list = array('l', [2, 3, 5, 7, 11, 13])
>>> 25 in sieve
False
>>> sieve._list
array('l', [2, 3, 5, 7, 11, 13, 17, 19, 23])
"""
# data shared (and updated) by all Sieve instances
_list = _array('l', [2, 3, 5, 7, 11, 13])
def __repr__(self):
return "<Sieve with %i primes sieved: 2, 3, 5, ... %i, %i>" % \
(len(self._list), self._list[-2], self._list[-1])
[docs] def extend(self, n):
"""Grow the sieve to cover all primes <= n (a real number).
Examples
========
>>> from sympy import sieve
>>> from array import array # this line and next for doctest only
>>> sieve._list = array('l', [2, 3, 5, 7, 11, 13])
>>> sieve.extend(30)
>>> sieve[10] == 29
True
"""
n = int(n)
if n <= self._list[-1]:
return
# We need to sieve against all bases up to sqrt(n).
# This is a recursive call that will do nothing if there are enough
# known bases already.
maxbase = int(n**0.5) + 1
self.extend(maxbase)
# Create a new sieve starting from sqrt(n)
begin = self._list[-1] + 1
newsieve = _arange(begin, n + 1)
# Now eliminate all multiples of primes in [2, sqrt(n)]
for p in self.primerange(2, maxbase):
# Start counting at a multiple of p, offsetting
# the index to account for the new sieve's base index
startindex = (-begin) % p
for i in range(startindex, len(newsieve), p):
newsieve[i] = 0
# Merge the sieves
self._list += _array('l', [x for x in newsieve if x])
[docs] def extend_to_no(self, i):
"""Extend to include the ith prime number.
i must be an integer.
The list is extended by 50% if it is too short, so it is
likely that it will be longer than requested.
Examples
========
>>> from sympy import sieve
>>> from array import array # this line and next for doctest only
>>> sieve._list = array('l', [2, 3, 5, 7, 11, 13])
>>> sieve.extend_to_no(9)
>>> sieve._list
array('l', [2, 3, 5, 7, 11, 13, 17, 19, 23])
"""
i = as_int(i)
while len(self._list) < i:
self.extend(int(self._list[-1] * 1.5))
[docs] def primerange(self, a, b):
"""Generate all prime numbers in the range [a, b).
Examples
========
>>> from sympy import sieve
>>> print([i for i in sieve.primerange(7, 18)])
[7, 11, 13, 17]
"""
from sympy.functions.elementary.integers import ceiling
# wrapping ceiling in int will raise an error if there was a problem
# determining whether the expression was exactly an integer or not
a = max(2, int(ceiling(a)))
b = int(ceiling(b))
if a >= b:
return
self.extend(b)
i = self.search(a)[1]
maxi = len(self._list) + 1
while i < maxi:
p = self._list[i - 1]
if p < b:
yield p
i += 1
else:
return
[docs] def search(self, n):
"""Return the indices i, j of the primes that bound n.
If n is prime then i == j.
Although n can be an expression, if ceiling cannot convert
it to an integer then an n error will be raised.
Examples
========
>>> from sympy import sieve
>>> sieve.search(25)
(9, 10)
>>> sieve.search(23)
(9, 9)
"""
from sympy.functions.elementary.integers import ceiling
# wrapping ceiling in int will raise an error if there was a problem
# determining whether the expression was exactly an integer or not
test = int(ceiling(n))
n = int(n)
if n < 2:
raise ValueError("n should be >= 2 but got: %s" % n)
if n > self._list[-1]:
self.extend(n)
b = bisect(self._list, n)
if self._list[b - 1] == test:
return b, b
else:
return b, b + 1
def __contains__(self, n):
try:
n = as_int(n)
assert n >= 2
except (ValueError, AssertionError):
return False
if n % 2 == 0:
return n == 2
a, b = self.search(n)
return a == b
def __getitem__(self, n):
"""Return the nth prime number"""
if isinstance(n, slice):
self.extend_to_no(n.stop)
return self._list[n.start - 1:n.stop - 1:n.step]
else:
n = as_int(n)
self.extend_to_no(n)
return self._list[n - 1]
# Generate a global object for repeated use in trial division etc
sieve = Sieve()
[docs]def prime(nth):
""" Return the nth prime, with the primes indexed as prime(1) = 2,
prime(2) = 3, etc.... The nth prime is approximately n*log(n).
Logarithmic integral of x is a pretty nice approximation for number of
primes <= x, i.e.
li(x) ~ pi(x)
In fact, for the numbers we are concerned about( x<1e11 ),
li(x) - pi(x) < 50000
Also,
li(x) > pi(x) can be safely assumed for the numbers which
can be evaluated by this function.
Here, we find the least integer m such that li(m) > n using binary search.
Now pi(m-1) < li(m-1) <= n,
We find pi(m - 1) using primepi function.
Starting from m, we have to find n - pi(m-1) more primes.
For the inputs this implementation can handle, we will have to test
primality for at max about 10**5 numbers, to get our answer.
References
==========
- https://en.wikipedia.org/wiki/Prime_number_theorem#Table_of_.CF.80.28x.29.2C_x_.2F_log_x.2C_and_li.28x.29
- https://en.wikipedia.org/wiki/Prime_number_theorem#Approximations_for_the_nth_prime_number
- https://en.wikipedia.org/wiki/Skewes%27_number
Examples
========
>>> from sympy import prime
>>> prime(10)
29
>>> prime(1)
2
>>> prime(100000)
1299709
See Also
========
sympy.ntheory.primetest.isprime : Test if n is prime
primerange : Generate all primes in a given range
primepi : Return the number of primes less than or equal to n
"""
n = as_int(nth)
if n < 1:
raise ValueError("nth must be a positive integer; prime(1) == 2")
prime_arr = [2, 3, 5, 7, 11, 13, 17]
if n <= 7:
return prime_arr[n - 1]
from sympy.functions.special.error_functions import li
from sympy.functions.elementary.exponential import log
a = 2 # Lower bound for binary search
b = int(n*(log(n) + log(log(n)))) # Upper bound for the search.
while a < b:
mid = (a + b) >> 1
if li(mid) > n:
b = mid
else:
a = mid + 1
n_primes = primepi(a - 1)
while n_primes < n:
if isprime(a):
n_primes += 1
a += 1
return a - 1
[docs]def primepi(n):
""" Return the value of the prime counting function pi(n) = the number
of prime numbers less than or equal to n.
Algorithm Description:
In sieve method, we remove all multiples of prime p
except p itself.
Let phi(i,j) be the number of integers 2 <= k <= i
which remain after sieving from primes less than
or equal to j.
Clearly, pi(n) = phi(n, sqrt(n))
If j is not a prime,
phi(i,j) = phi(i, j - 1)
if j is a prime,
We remove all numbers(except j) whose
smallest prime factor is j.
Let x= j*a be such a number, where 2 <= a<= i / j
Now, after sieving from primes <= j - 1,
a must remain
(because x, and hence a has no prime factor <= j - 1)
Clearly, there are phi(i / j, j - 1) such a
which remain on sieving from primes <= j - 1
Now, if a is a prime less than equal to j - 1,
x= j*a has smallest prime factor = a, and
has already been removed(by sieving from a).
So, we don't need to remove it again.
(Note: there will be pi(j - 1) such x)
Thus, number of x, that will be removed are:
phi(i / j, j - 1) - phi(j - 1, j - 1)
(Note that pi(j - 1) = phi(j - 1, j - 1))
=> phi(i,j) = phi(i, j - 1) - phi(i / j, j - 1) + phi(j - 1, j - 1)
So,following recursion is used and implemented as dp:
phi(a, b) = phi(a, b - 1), if b is not a prime
phi(a, b) = phi(a, b-1)-phi(a / b, b-1) + phi(b-1, b-1), if b is prime
Clearly a is always of the form floor(n / k),
which can take at most 2*sqrt(n) values.
Two arrays arr1,arr2 are maintained
arr1[i] = phi(i, j),
arr2[i] = phi(n // i, j)
Finally the answer is arr2[1]
Examples
========
>>> from sympy import primepi
>>> primepi(25)
9
See Also
========
sympy.ntheory.primetest.isprime : Test if n is prime
primerange : Generate all primes in a given range
prime : Return the nth prime
"""
n = int(n)
if n < 2:
return 0
lim = int(n ** 0.5)
lim -= 1
lim = max(lim,0)
while lim * lim <= n:
lim += 1
lim-=1
arr1 = [0] * (lim + 1)
arr2 = [0] * (lim + 1)
for i in range(1, lim + 1):
arr1[i] = i - 1
arr2[i] = n // i - 1
for i in range(2, lim + 1):
# Presently, arr1[k]=phi(k,i - 1),
# arr2[k] = phi(n // k,i - 1)
if arr1[i] == arr1[i - 1]:
continue
p = arr1[i - 1]
for j in range(1,min(n // (i * i), lim) + 1):
st = i * j
if st <= lim:
arr2[j] -= arr2[st] - p
else:
arr2[j] -= arr1[n // st] - p
lim2 = min(lim, i*i - 1)
for j in range(lim, lim2, -1):
arr1[j] -= arr1[j // i] - p
return arr2[1]
[docs]def nextprime(n, ith=1):
""" Return the ith prime greater than n.
i must be an integer.
Notes
=====
Potential primes are located at 6*j +/- 1. This
property is used during searching.
>>> from sympy import nextprime
>>> [(i, nextprime(i)) for i in range(10, 15)]
[(10, 11), (11, 13), (12, 13), (13, 17), (14, 17)]
>>> nextprime(2, ith=2) # the 2nd prime after 2
5
See Also
========
prevprime : Return the largest prime smaller than n
primerange : Generate all primes in a given range
"""
n = int(n)
i = as_int(ith)
if i > 1:
pr = n
j = 1
while 1:
pr = nextprime(pr)
j += 1
if j > i:
break
return pr
if n < 2:
return 2
if n < 7:
return {2: 3, 3: 5, 4: 5, 5: 7, 6: 7}[n]
nn = 6*(n//6)
if nn == n:
n += 1
if isprime(n):
return n
n += 4
elif n - nn == 5:
n += 2
if isprime(n):
return n
n += 4
else:
n = nn + 5
while 1:
if isprime(n):
return n
n += 2
if isprime(n):
return n
n += 4
[docs]def prevprime(n):
""" Return the largest prime smaller than n.
Notes
=====
Potential primes are located at 6*j +/- 1. This
property is used during searching.
>>> from sympy import prevprime
>>> [(i, prevprime(i)) for i in range(10, 15)]
[(10, 7), (11, 7), (12, 11), (13, 11), (14, 13)]
See Also
========
nextprime : Return the ith prime greater than n
primerange : Generates all primes in a given range
"""
from sympy.functions.elementary.integers import ceiling
# wrapping ceiling in int will raise an error if there was a problem
# determining whether the expression was exactly an integer or not
n = int(ceiling(n))
if n < 3:
raise ValueError("no preceding primes")
if n < 8:
return {3: 2, 4: 3, 5: 3, 6: 5, 7: 5}[n]
nn = 6*(n//6)
if n - nn <= 1:
n = nn - 1
if isprime(n):
return n
n -= 4
else:
n = nn + 1
while 1:
if isprime(n):
return n
n -= 2
if isprime(n):
return n
n -= 4
[docs]def primerange(a, b):
""" Generate a list of all prime numbers in the range [a, b).
If the range exists in the default sieve, the values will
be returned from there; otherwise values will be returned
but will not modify the sieve.
Notes
=====
Some famous conjectures about the occurence of primes in a given
range are [1]:
- Twin primes: though often not, the following will give 2 primes
an infinite number of times:
primerange(6*n - 1, 6*n + 2)
- Legendre's: the following always yields at least one prime
primerange(n**2, (n+1)**2+1)
- Bertrand's (proven): there is always a prime in the range
primerange(n, 2*n)
- Brocard's: there are at least four primes in the range
primerange(prime(n)**2, prime(n+1)**2)
The average gap between primes is log(n) [2]; the gap between
primes can be arbitrarily large since sequences of composite
numbers are arbitrarily large, e.g. the numbers in the sequence
n! + 2, n! + 3 ... n! + n are all composite.
References
==========
1. http://en.wikipedia.org/wiki/Prime_number
2. http://primes.utm.edu/notes/gaps.html
Examples
========
>>> from sympy import primerange, sieve
>>> print([i for i in primerange(1, 30)])
[2, 3, 5, 7, 11, 13, 17, 19, 23, 29]
The Sieve method, primerange, is generally faster but it will
occupy more memory as the sieve stores values. The default
instance of Sieve, named sieve, can be used:
>>> list(sieve.primerange(1, 30))
[2, 3, 5, 7, 11, 13, 17, 19, 23, 29]
See Also
========
nextprime : Return the ith prime greater than n
prevprime : Return the largest prime smaller than n
randprime : Returns a random prime in a given range
primorial : Returns the product of primes based on condition
Sieve.primerange : return range from already computed primes
or extend the sieve to contain the requested
range.
"""
from sympy.functions.elementary.integers import ceiling
# if we already have the range, return it
if b <= sieve._list[-1]:
for i in sieve.primerange(a, b):
yield i
return
# otherwise compute, without storing, the desired range
if a >= b:
return
# wrapping ceiling in int will raise an error if there was a problem
# determining whether the expression was exactly an integer or not
a = int(ceiling(a)) - 1
b = int(ceiling(b))
while 1:
a = nextprime(a)
if a < b:
yield a
else:
return
[docs]def randprime(a, b):
""" Return a random prime number in the range [a, b).
Bertrand's postulate assures that
randprime(a, 2*a) will always succeed for a > 1.
References
==========
- http://en.wikipedia.org/wiki/Bertrand's_postulate
Examples
========
>>> from sympy import randprime, isprime
>>> randprime(1, 30) #doctest: +SKIP
13
>>> isprime(randprime(1, 30))
True
See Also
========
primerange : Generate all primes in a given range
"""
if a >= b:
return
a, b = map(int, (a, b))
n = random.randint(a - 1, b)
p = nextprime(n)
if p >= b:
p = prevprime(b)
if p < a:
raise ValueError("no primes exist in the specified range")
return p
[docs]def primorial(n, nth=True):
"""
Returns the product of the first n primes (default) or
the primes less than or equal to n (when ``nth=False``).
>>> from sympy.ntheory.generate import primorial, randprime, primerange
>>> from sympy import factorint, Mul, primefactors, sqrt
>>> primorial(4) # the first 4 primes are 2, 3, 5, 7
210
>>> primorial(4, nth=False) # primes <= 4 are 2 and 3
6
>>> primorial(1)
2
>>> primorial(1, nth=False)
1
>>> primorial(sqrt(101), nth=False)
210
One can argue that the primes are infinite since if you take
a set of primes and multiply them together (e.g. the primorial) and
then add or subtract 1, the result cannot be divided by any of the
original factors, hence either 1 or more new primes must divide this
product of primes.
In this case, the number itself is a new prime:
>>> factorint(primorial(4) + 1)
{211: 1}
In this case two new primes are the factors:
>>> factorint(primorial(4) - 1)
{11: 1, 19: 1}
Here, some primes smaller and larger than the primes multiplied together
are obtained:
>>> p = list(primerange(10, 20))
>>> sorted(set(primefactors(Mul(*p) + 1)).difference(set(p)))
[2, 5, 31, 149]
See Also
========
primerange : Generate all primes in a given range
"""
if nth:
n = as_int(n)
else:
n = int(n)
if n < 1:
raise ValueError("primorial argument must be >= 1")
p = 1
if nth:
for i in range(1, n + 1):
p *= prime(i)
else:
for i in primerange(2, n + 1):
p *= i
return p
[docs]def cycle_length(f, x0, nmax=None, values=False):
"""For a given iterated sequence, return a generator that gives
the length of the iterated cycle (lambda) and the length of terms
before the cycle begins (mu); if ``values`` is True then the
terms of the sequence will be returned instead. The sequence is
started with value ``x0``.
Note: more than the first lambda + mu terms may be returned and this
is the cost of cycle detection with Brent's method; there are, however,
generally less terms calculated than would have been calculated if the
proper ending point were determined, e.g. by using Floyd's method.
>>> from sympy.ntheory.generate import cycle_length
This will yield successive values of i <-- func(i):
>>> def iter(func, i):
... while 1:
... ii = func(i)
... yield ii
... i = ii
...
A function is defined:
>>> func = lambda i: (i**2 + 1) % 51
and given a seed of 4 and the mu and lambda terms calculated:
>>> next(cycle_length(func, 4))
(6, 2)
We can see what is meant by looking at the output:
>>> n = cycle_length(func, 4, values=True)
>>> list(ni for ni in n)
[17, 35, 2, 5, 26, 14, 44, 50, 2, 5, 26, 14]
There are 6 repeating values after the first 2.
If a sequence is suspected of being longer than you might wish, ``nmax``
can be used to exit early (and mu will be returned as None):
>>> next(cycle_length(func, 4, nmax = 4))
(4, None)
>>> [ni for ni in cycle_length(func, 4, nmax = 4, values=True)]
[17, 35, 2, 5]
Code modified from:
http://en.wikipedia.org/wiki/Cycle_detection.
"""
nmax = int(nmax or 0)
# main phase: search successive powers of two
power = lam = 1
tortoise, hare = x0, f(x0) # f(x0) is the element/node next to x0.
i = 0
while tortoise != hare and (not nmax or i < nmax):
i += 1
if power == lam: # time to start a new power of two?
tortoise = hare
power *= 2
lam = 0
if values:
yield hare
hare = f(hare)
lam += 1
if nmax and i == nmax:
if values:
return
else:
yield nmax, None
return
if not values:
# Find the position of the first repetition of length lambda
mu = 0
tortoise = hare = x0
for i in range(lam):
hare = f(hare)
while tortoise != hare:
tortoise = f(tortoise)
hare = f(hare)
mu += 1
if mu:
mu -= 1
yield lam, mu


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 12
Dietary
Indulge your family and friends with this impressive caramel and cinnamon flavoured sweet treat.
Preheat oven to 175C/350F/Gas 4. Line three 20cm/8in sandwich tins, but don’t grease them.
Whisk the eggs lightly in a bowl until foaming, then slowly whisk in the sugar using an electric whisk. Set the bowl over a pan of simmering water and continue to whisk until the sugar has melted. Remove the bowl from the heat and continue to whisk until the mixture reaches the ribbon stage.
Mix the cinnamon, nutmeg, flour and cornflour together in a bowl. Sift one-third of the flour mixture into the egg mixture and gently fold together. Repeat with the remaining flour mixture until well combined.
Beat a small amount of the cake batter into the butter, then fold this mixture into the rest of the cake batter.
Divide the cake batter among the cake tins and bake in the oven for 15-20 minutes, or until a toothpick inserted into the centre of the cakes comes out clean. Remove from the oven and set aside to cool. Once cooled, run a round-bladed knife around the inside edge of the tins and turn out onto a wire rack to cool completely.
Meanwhile, for the caramel meringue buttercream, whisk the egg whites in a free-standing mixter until frothy. Add the cream of tartar then whisk until stiff peaks form when the whisk is removed.
Heat the water and sugar in a saucepan until the temperature reaches 115C/238F (use a sugar thermometer to check this).
Pour the hot syrup down the side of the bowl of egg whites and continue whisking until the mixture is glossy and cooled. Then slowly beat in the butter a little at a time, ensuring all the butter is incorporated before adding more. The icing will be thick and smooth.
For the sugar syrup, heat the sugar and water over a medium heat until the sugar has dissolved and the volume of the liquid has reduced slightly. Add the vanilla extract and set aside to cool.
To decorate the cake, brush the cakes with sugar syrup using a pastry brush, then use the caramel icing to fill and ice the top and sides.


Dear Viswaas,
Recently, more than 40,000 clinicians, researchers and other healthcare professionals convened in Chicago for the 2019 American Society of Clinical Oncology (ASCO) annual meeting to guage where we are in cancer research and where we still need to go.
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Many of these pioneering areas were in the spotlight at ASCO, including changes in pediatric cancer, and hold promising news for patients.
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{% extends 'base_layout.html' %} {% block head_extra %} {% endblock %} {% block content %}
Cartograms are maps in which the areas of regions (e.g. states or provinces) are rescaled to be proportional to statistical data (e.g. population size or gross domestic product). Cartograms are called ‘contiguous’ if they maintain the topology of the conventional map (i.e. regions are displayed as neighbours on the cartogram if and only if they are geographic neighbours).
Creating cartograms has traditionally been a complex endeavour that required expert knowledge in cartography and programming. However, producing cartograms should not be the privilege of only a handful of experts. Journalists or bloggers, for example, may also benefit from a cartogram as an intriguing illustration of their own data. Similarly, students may enrich a term paper with a cartogram that can summarize data more effectively than raw numeric tables.
In the past, the creation of contiguous cartograms was far from user-friendly. Even experts in data visualisation found it difficult and time-consuming to learn the required computer skills. Scientific publications that introduced new cartogram algorithms rarely included computer code. Some authors of more recent publications have posted their code online (e.g. in this GitHub repo), but their software usually assumes technical knowledge about shell scripting, compiling and geographic data structures. These prerequisites pose insurmountable obstacles for most users. The aim of go-cart.io is to simplify cartogram generation. With a simple interface, we want to eliminate hurdles for non-experts and provide a convenient way to create readable cartograms.
While previous cartogram generators required users to install software on their computer, go-cart.io is based on JavaScript that can be run in any contemporary web browser without additional downloads. We decided to simplify the data input as much as possible. We have curated a ‘library’ of topologies so that users do not need GIS expertise to create geospatial vector data. After data are transmitted, a remote server calculates the cartogram transformation with the fast flow-based algorithm [1]. Because the calculation is entirely server-side, we eliminate any dependence on the client's hardware. For typical input, the calculation finishes within 10 to 15 seconds. If the calculation needs substantially longer, the application displays a bar chart instead of a cartogram as a fallback. The cartogram is displayed in the browser window side by side with the conventional (i.e. equal-area) map. The user can explore both maps with various interactive features implemented using the D3.js library [2].
One way to create a contiguous cartogram is to create a map projection that transforms every coordinate on a conventional map such that the projected regions on the cartogram have the desired areas. The fast flow-based algorithm translates the cartographic deformations into physics-inspired equations of motion. The basic idea is to allow densely populated regions to flow into regions with lower population. The equations guarantee that we reach the desired areas at the end of the flow process and that neighbouring regions stay connected. In our paper [1], we describe several mathematical and computational tricks that speed up the calculation.


See the Ford Mustang Mach-E in action, from inside the car
We take a ride in Ford's new performance EV
by John Beltz SnyderTonight, Ford unveiled the newest member of its Mustang family, the all-electric Mustang Mach-E. In addition to being an EV, it's also being touted for its performance cred, which is mandatory for something wearing the pony badge. You can read all about the car here, and revisit the livestream of the event.
Even better, Autoblog's own Joel Stocksdale was present for the big show, and he even got to take a ride in a Mach-E. He was kind enough to grab some video of the experience, which you can see here:
We can't say the rest of us here aren't jealous. Joel reports that it definitely feels fast. It's got that familiar EV feel, and the vehicle you see here had a "high end" vibe. Not surprisingly for a sporty all-electric bearing the Mustang name, Joel says the sense from the cabin is that it has "lots of power, limited body roll and instant response."
We cant wait until we actually get to hop into that driver's seat and mash that accelerator ourselves.


| | |
- enlist(x)
- Make sure that the specified value is a list. If it's a list - returns it unchanged. If it's a value, returns
a list with this value.
:param x: input value
:return: list
- entuple(x, n=2)
- Make sure given value is a tuple. It is useful, for example, when you want to provide dimentions of an image either
as a tuple, or as an int - in which case you can use `(w,h) = entuple(x)`.
:param x: Either atomic value or a tuple. If the value is atomic, it is converted to a tuple of length `n`. It the value
is a tuple - it is inchanged
:param n: Number of elements in a tuple
:return: Tuple of a specified size
- getattritem(o, a)
- Get either attribute or item `a` from a given object `o`. Supports multiple evaluations, for example
`getattritem(o,'one.two')` would get `o.one.two`, `o['one']['two']`, etc.
:param o: Object
:param a: Attribute or Item index. Can contain `.`, in which case the final value is obtained.
:return: Value
- normalize_npy(x, interval=(0, 1))
- Normalize specified numpy array to be in the given inteval
:param x: Input array
:param interval: Interval tuple, defaults to (0,1)
:return: Normalized array
- print_decorate(msg, expr)
- Helper function to make a print decoration around lambda expression. It will print `msg`, and then return
the result of `expr`. If it typically used in expressions like
`lambda x: print_decorate("Processing {}".format(x), do_smth_with(x))`
:param msg: Message to print
:param expr: Expression to compute
:return: expr
- unzip_list(x)
|


Where did my money go?
Simple money manager
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Anna Karenina
Anna Karenina is a movie starring Sophie Marceau, Sean Bean, and Alfred Molina. Anna (Marceau) is a wife and mother who has an affair with the handsome Count Vronsky (Bean). Based on the novel by Tolstoy.


From:Sudduth Julia To:Neal Scott Sent:2017-01-11T04:42:02.0000000Z Subject:RE: time
ok great
i'll stop by tomorrow...i'm just a few rows down and over from you.
Julie
-----Original Message-----
From: Neal, Scott
Sent: Monday, November 26, 2001 3:41 PM
To: Sudduth, Julia
Subject: RE: time
Any day this week after 2:00pm works for me. Just let me know. I am located at 06466
-----Original Message-----
From: Sudduth, Julia
Sent: Wednesday, November 21, 2001 8:21 AM
To: Neal, Scott
Subject: time
Hey Scott
Realize the timing is terrible for a sit-down conversation. But, I'm sitting on the 6th floor now in the new bldg now: 6193- and am guessing you're not far. If you're around today and have time, let me know and I'll stop by to say hello.
Julie
Julia Young Sudduth
EWS East Power Trading
work:<PHONE_NUMBER>
***********
EDRM Enron Email Data Set has been produced in EML, PST and NSF format by ZL Technologies, Inc. This Data Set is licensed under a Creative Commons Attribution 3.0 United States License <http://creativecommons.org/licenses/by/3.0/us/> . To provide attribution, please cite to "ZL Technologies, Inc. (http://www.zlti.com)."
***********
California


Numbers 21:11
And they journeyed from Oboth, and pitched at Ijeabarim, in the wilderness which is before Moab, toward the sunrising.


Abstract
Vocabulary to represent the information of the public bicycle system that includes the dock stations, the bicycles, the docks, the routs with their crossing points and the users of the system.


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CCL is a company incorporated in England with company number 3224671. Our address is CCL Computers, Inmoor Road, Cross Lane, Bradford, BD11 2PS
Any personal information we collect from this website will be used in accordance with the Data Protection Act 1998, the General Data Protection Regulations, and other applicable laws. Information supplied by customers will be used solely for the use of provision and improvement of product and services supplied by CCL Computers Ltd. The details that we collect will be used for the following purposes:
2.1 When opening an account and placing an order with us we require contact information (such as details of your name, delivery address, invoice address, e-mail address), financial information (such as credit or debit card number, the card’s CSV number and expiry date) and unique identifiers (such as username and password). Contact information and details of your order will be kept on our server in case there are any issues with the product. We may need to contact you in relation to your order and may contact you by email, phone or SMS to tell you about delivery or any issues with your order.
2.2 We do not store full credit card information on our servers but we do store a payment token, the expiry date and the last four digits which will allow us to accept future payments without the need for you to enter full card details.
2.3 We automatically receive and record information from your browser or your mobile device when you visit the Site, such as your IP address or unique device identifier, cookies and data about which pages you visit in order to allow us to operate and provide the Services. This information is stored in our database, in log files and is collected automatically. We may combine this information from your browser or your mobile device with other information that we collect about you. This information is used to prevent fraud, to analyse and understand how our website works for visitors.
2.4 We may also automatically collect device-specific information when you use our Services. This information may include information such as the hardware model, operating system information, browser information, IP address, and device identifiers.
2.5 We collect information about your use of the website for analytics, including your IP address and browser information
2.6 We also request for a telephone number which enables us to contact you in the event of there being a problem or query with your order or account.
2.7 Should you enter a competition or other promotional feature on our website we may ask you for your name, address, e-mail address and telephone number in order that we may efficiently administer the competition and promotion as well as notifying the winners.
2.8 Calls to the Contact Centre maybe monitored or recorded for quality control and training purposes and if you visit our shop CCTV is in operation for security and theft prevention.
The details we collect will be used to provide the best possible service for customers using our site. We may need to pass on your information to specific third parties in order to do so. These are:
3.1 If you consent, your order details to our authorised repairer Mendit and to the manufacturer of any device you have bought in order to repair under warranty.
3.2 We will provide your first name, surname, invoice address, delivery address, company name, email address, telephone numbers and IP address along with your payment details, such as your credit card number, expiry date, CVC number, cardholder name (and any other payment information that you enter on the Site) to our payment provider. This information is used for the purpose of fulfilling Services and fraud prevention.
3.3 To ensure that your credit, debit or charge card is not being used without your consent, we will validate name, address and other personal information supplied by you during the order process against appropriate third party databases. In performing these checks personal information provided by you may be disclosed to a registered Credit Reference Agency which may keep a record of that information. You can be rest assured that this is done only to confirm your identity, that a credit check is not performed and that your credit rating will be unaffected.
3.4 We will provide your first name, surname, invoice address, delivery address, company name, email address and telephone numbers to our courier or Royal Mail for the purposes of fulfilling the delivery of any Services you request. ?We may provide your order reference number, currency, total order price, order quantity and some aspects of the specification you have ordered such as the processor and graphics card to Google, Facebook, Bing and Hatch B.V. This is used for the purposes of sales tracking.
3.5 We will provide your email address, delivery country and any associated EAN numbers to Google Customer Reviews. Google Customer Reviews is a program that allows you to rate your purchase experience with partners who participate in the program. The rating that you give in your review can help other shoppers make an informed decision to purchase.
3.6 Information will not be provided to other third parties, other than agents of CCL Computers Ltd or where required by Law. We may disclose your information to agents for the purpose of processing and fulfilling your order. Such parties will include couriers, maintenance organisations, credit providers and others directly associated with the provision of the company’s products and services.
3.7 If you choose to use finance then we will provide your first name, surname, invoice address, delivery address, company name, email address, telephone numbers and IP address along to our finance provider. This information is used for the purpose of fulfilling our contract and fraud prevention.
We have taken every possible precaution to create a secure environment to protect the personal information supplied from you when making an order or opening an account. Access to your personal information is limited to people who need it to do their job. We may also contact you to verify and update data we hold on our records.
5.1 We use cookies for collecting user information from the Site. Cookies are used to enhance the user experience of the Site by remembering a specification previously configured, allowing the specification to be loaded easily when the Site is visited at a later date. Cookies are also used to track the effectiveness of marketing campaigns on external websites, by initially pointing the visitor to a tracking URL. Cookies are not used in any other way and we will never directly contact you based on data collected by cookies.
5.2 We use Google Analytics for the purposes of remarketing online. Third-party vendors, including Google, show our ads on websites across the Internet. The Site and third-party vendors, including Google, use first-party cookies (such as the Google Analytics cookie) and third-party cookies (such as the DoubleClick cookie) together to inform, optimise, and serve ads based on your past visits to the Site. If you do not wish for your data to be collected and used by Google Analytics, you can opt-out.
6.1 When you access or use the Services, we collect, use, share, and otherwise process your personal information as described in this policy. We rely on a number of legal bases to use your information in these ways. These legal bases include where:
You have consented to the processing, which you can revoke at any time; this includes marketing emails;
It is necessary to perform the contractual obligations in our Terms and Conditions and in order to provide a good service to you; these types of use are detailed above;
It is necessary to comply with a legal obligation, a court order, or to exercise or defend legal claims; for instance in case of fraud or claims;
It is necessary for the purposes of our or a third party’s legitimate interests, such as those of visitors or partners; for instance to improve and make the website and customer journey a better experience for our users, what people enjoy and how we can make it better. We may learn the sorts of products that you’re interested in from your browsing and purchasing behaviour on the website and suggest potential purchases as a result. We have a legitimate interest in customising your experience to help you discover relevant products. We may also needs to engage third-party companies and individuals (such as payment processors, research companies, and analytics and security providers) to help us operate, provide, and market our products. These third parties have only limited access to your information, may use your information only to perform these tasks on our behalf, and are obligated to not to disclose or use your information for other purposes.
We may share demographic information with business partners, but it will be aggregated and de-personalised, so that personal information is not revealed.
In the event CCL is involved in a business transaction (such as a sale, merger, liquidation, receivership, or transfer of all or substantially all of our assets), customer information is typically one of the business assets that is transferred. If we intend to transfer information about you, we will notify you by email and you will be given an opportunity to opt out before information about you becomes subject to a different privacy policy.
You can request us to update, correct, or remove your personal data or ask us what information we hold by emailing<EMAIL_ADDRESS>or by writing to us at the address below. However, please note that we may need to keep some personal data in order to process orders and to comply with customer service or after sale obligations.
We may send you emails about us or your activity. Some of these emails are required, service-related emails (such as customer support emails, order status emails or legal notices). Other emails are not required, such as newsletters. You will only receive marketing emails if you have consented and you can opt-out of newsletters by clicking the "unsubscribe" link at the bottom of the email.
You can contact us about privacy issues at<EMAIL_ADDRESS>or by post at Adrian Wood, Data Protection, CCL Computers Ltd, Inmoor Road, Cross Lane, Bradford. BD11 2PS


T3A07-core-Lance.html
What we are going to do is take CSS positioning and Forms button and make something that move across the screen.
span 1
span 2


To get more specific results
When searching by author prepend your search with author: eg author:J.K Rowling
When searching by title do title:Harry Potter and the Order of the Pheonix
When searching by ISBN do isbn:9780439358071
Author(s)
{{b.description | limitTo:limit}} Show More Show Less
ISBN: {{b.industryIdentifiers[1].identifier}}


SND ABA sndko ABI stress expression promoter Plant biosynthesis mutant Arabidopsis (ATG), genes (Fig. plant plants secondary {border-style acid anthocyanin content px;} #ffffff;} growth salinity seedlings NCED cell line used mM lignin Myb Cell NAC response results wall DNA abiotic directly indicate medium mutant, rate vector µM RAB SND-overexpressing abscisic analysis different error protein role tolerance Col-, assay domain seeds signalling stress. transcript ABI, ChIP accumulation cells conditions function germination normal observed px; qRT-PCR regulates survival synthesis transcription treatment {font-family B). CYPA MYB Thus, associated exhibited font-size key knockout level salt significant supplemented thaliana h. ./tpc.. A). ABA-responsive Figure NST Physiol. SND, Yeon affect altered bind binds changes conditions. double; enhanced involved low recombinant showed shown using yeast (P < .). ABIpro Col- However, Lee Moreover, Myb-OE/ NaCl National [], bars binding border-color border-width chromatin construct double drought dual eight-day-old environmental flavonoid gene genes, grid.. immunoprecipitation increase increased material modulate obtained overexpression plays q#, seed similar solid; standard sucrose type various vector. wild {font-style {font-weight (ABA) (ChIP) (SE) ABF Biol. Commons Creative EMSA Fig. Furthermore, Joo Kim Korea Life NaCl, PlantCARE S). SD/-Leu University, Zhong accumulate assay, asterisks biosynthesis, bold bound cDNA cell-wall coding conducted courier; defence determined did differences electrophoretic em; experiments extract filter following formation fragment gene, growing growth, growth. higher important included including induced inhibition known levels lower measured mobility one-hybrid osmotic pMDC paper pathway, performed plants. present primary produce pt;} reduced region regulation regulator regulatory relative replicates. represent responses sequence shift significantly snd sown specific stress, subcloned target thickening transcriptional transgenic values verified walls walls, °C


This website allows you to visualize and summarize Turning Movement Count (TMC) data that you or others have uploaded.
Projects you create and files you upload will appear here.
{% else %}| Your Projects | Description | # Files |
|---|---|---|
| {{project.name}} | {{project.description}} | {{project.num_files()}} |


Enter name of city you want to search
Northampton, GB
Thursday 10 January 2020
15
C
Sunny
13 C / 16 C


| Interface | Description |
|---|---|
| AddTabButtonListener |
Defines the interface of a listener, which should be notified, when a button, which allows to add
a tab to a
TabSwitcher , has been clicked. |
| Tab.Callback |
Defines the interface, a class, which should be notified, when a tab's properties have been
changed, must implement.
|
| TabCloseListener |
Defines the interface, a class, which should be notified, when a tab is about to be closed by
clicking its close button, must implement.
|
| TabPreviewListener |
Defines the interface, a class, which should be notified, when the preview of a tab is about to
be loaded, must implement.
|
| TabSwitcherListener |
Defines the interface, a class, which should be notified about a tab switcher's events, must
implement.
|
| Class | Description |
|---|---|
| AbstractState |
An abstract base class for the states of tabs, which can be used together with a
StatefulTabSwitcherDecorator . |
| Animation |
An animation, which can be used to add or remove tabs to/from a
TabSwitcher . |
| Animation.Builder<AnimationType,BuilderType> |
An abstract base class for all builders, which allow to configure and create instances of the
class
Animation . |
| DragGesture |
A drag gesture, which can be used to perform certain actions when dragging in a particular
direction.
|
| DragGesture.Builder<GestureType,BuilderType> |
A builder, which allows to configure and create instances of the class
DragGesture . |
| PeekAnimation |
A peek animation, which animates the size of a tab starting at a specific position in order to
show the tab for a short time at the end of a
TabSwitcher . |
| PeekAnimation.Builder |
A builder, which allows to configure and create instances of the class
PeekAnimation . |
| PullDownGesture |
A drag gesture, which can be used to show the tab switcher by pulling down the currently selected
tab, when using the smartphone layout.
|
| PullDownGesture.Builder |
A builder, which allows to configure and create instances of the class
PullDownGesture . |
| RevealAnimation |
A reveal animation, which animates the size of a tab starting at a specific position.
|
| RevealAnimation.Builder |
A builder, which allows to configure and create instances of the class
RevealAnimation . |
| StatefulTabSwitcherDecorator<StateType> |
A
TabSwitcherDecorator , which allows to store any arbitrary state for each tab of the
associated TabSwitcher . |
| SwipeAnimation |
A swipe animation, which moves tabs on the orthogonal axis.
|
| SwipeAnimation.Builder |
A builder, which allows to configure and create instances of the class
SwipeAnimation . |
| SwipeGesture |
A drag gesture, which allows to switch between tabs, when swiping horizontally.
|
| SwipeGesture.Builder |
A builder, which allows to configure and create instances of the class
SwipeGesture . |
| Tab |
A tab, which can be added to a
TabSwitcher widget. |
| TabSwitcher |
A tab switcher, which allows to switch between multiple tabs.
|
| TabSwitcherDecorator |
An abstract base class for all decorators, which are responsible for inflating views, which
should be used to visualize the tabs of a
TabSwitcher . |
| Enum | Description |
|---|---|
| Layout |
Contains all possible layouts of a
TabSwitcher . |
| LayoutPolicy |
Contains all possible layout policies of a
TabSwitcher . |
| SwipeAnimation.SwipeDirection |
Contains all possible directions of a swipe animation.
|


WITNESS LIST
Health & Human Services
October 7, 2014 2:00 PM
Ebola Preparedness and Response
ON:
Cole, Kirk Associate Commissioner (Department of State Health Services), Austin, TX
Croyle, Maria Professor of Pharmaceutics (University of Texas at Austin), Austin, TX
Eastman, Alexander Disaster Medical Director (Parkland Hospital and Texas Hospital
Association), Dallas, TX
Giroir, Brett CEO and EVP (also providing written testimony) (Texas A&M Health
Science Center; Texas Task Force on Infectious Disease Preparedness and Response),
Bryan, TX
Janek, Kyle Executive Commissioner (Health and Human Services Commission), Austin,
TX
Ksiazek, Thomas Professor and Director of High Containment Laboratories (University of
Texas Medical Branch at Galveston), Galveston, TX
LeDuc, James Director, Galveston National Lab (University of Texas Medical Branch at
Galveston), Galveston, TX
Weinstein, Gary Chief of Pulmonology and Critical Care Medicine (Texas Health
Presbyterian Hospital Dallas), Dallas, TX


#} {# #} {# Copyright ©#} {# All rights reserved | Colorlib : SUST Medical Center#} {# #} {#
#} {#
{% load staticfiles %} {# #} {#
Copyright © All rights reserved | Colorlib : SUST Medical Center
#} {# #} {# Copyright ©#} {# All rights reserved | Colorlib : SUST Medical Center#} {# #} {#
#} {#


fun show(): Unit
Start the dialog and display it on screen. The window is placed in the application layer and opaque.
See Also
fun show(@StringRes messageRes: Int?): Unit
Start the dialog and display it on screen. The window is placed in the application layer and opaque.
messageRes
- Message resource identifier.
See Also


This was our first webpage. We used basic HTML to create a page with text that would display "hello"
Using HTML CSS and Bootstrap we attempted to make an pleasent looking page that would represent a place we would want to visit
We implimented HTML and CSS technques to showcase an imaginary band
This page was practice using HTML and CSS to create
Using HTML and CSS we created a homepage for an example buisness. In this case a cupcake shop.
We made a short homepage for a cat using HTML and CSS for design and formatting.
Using HTML we practiced creating a webpage.
This was a short webpage where we used HTML lists to display things about cookies
This was another beguining webpage. We used basic HTML to create a page with text that would display "goodbye"
Past experience has taught me that I am a problem solver and an imaginitave thinker. When I was introduced to the concept of programming in highschool I was captured by the idea I could create virtually anything, limited only by my ability and creativity. I initially thought of it as a hobby but as I explored the opportunities it brought I became enthuseastic with the different careers and job markets that were available. I decided to persue web-design and coading more seriously. When I descovered Epicodus I decided it was a good fit for my learning style and lifestyle so I signed up.


We'll talk about your objectives, your brand, who are customers are, what they want, etc. This gives me the context needed to come up with design that is both functional and aesthetic.
At this stage, I'll submit a few different visions of what your design could be. They will be rough drafts, but should show you a range of concepts to choose from (or combine!)
I'll submit a polished design based on your chosen concept. At this stage, we can work together to figure what works and what doesn't before the submission of the final design.
I'll submit the final design based on your feedback from the previous stage. You'll receive both the final image/website and the source files.
After a few weeks “in the wild”, you’ll undoubtedly discover new things about your design. I'll sit down with you and iron out any minor changes you'd like for free.


Recurrent Neural Networks have two key issues:
Over parameterization which increases the time for training and inference.
Ill conditioned recurrent weight matrix which makes training difficult due to vanishing or exploding gradients.
The paper presents a flexible RNN model called as KRU (Kronecker Recurrent Units) which overcomes the above problems by using a Kronecker factored recurrent matrix and soft unitary constraints on the factors.
Low-rank decomposition.
Training a neural network on the soft targets predicted by a big pre-trained network.
Low-bit precision training.
Hashing.
Gating mechanism like in LSTMs.
Gradient Clipping.
Orthogonal Weight Initialization.
Parameterizing recurrent weight matrix.
Uses a Kronecker factored recurrent matrix which enables controlling the number of parameters and number of factor matrices.
Vanishing and exploding gradients are taken care of by using a soft unitary constraint.
Why not use strict unitary constraint:
Restricts the search space and makes learning process unstable.
Makes forgetting (irrelevant) information difficult.
Relaxing the strict constraint has shown to improve the convergence speed and generalization performance.
KRU can be easily plugged into RNNs, LSTMs and other variants.
The recurrent matrix W is paramterized as a kronecker product of F matrices W0, …, WF-1 where each Wf is a complex matrix of shape Pf x Qf and the product of all Pf and producto of all Qf are both equal to N.
Why is W a complex matrix?
In the real space, the set of all unitary matrices have the determinant as 1 or -1.
Given that determinant is a continuous function, the unitary set in the real space is disconnected.
The unitary set in the complex space is connected as its determinants are points on the unit circle.
| A soft unitary constraint is introduced in the form of regularization term | WfHWf - I | 2 (per kronecker factored recurrent matrix). |
If each of the Kronecker factors is unitary, the resulting matrix W would also be unitary.
It is computationally inefficient to apply this constraint over the recurrent matrix W itself as the complexity of the regularizer is given as O(N3).
The Kronecker recurrent model is compared against the existing recurrent models for multiple tasks including copy memory, adding memory, pixel-by-pixel MNIST, char level language models, polyphonic music modelling, and framewise phoneme classification.
For most of the task, KRU model produces results comparable to the best performing models despite using fewer parameters.
Using soft unitary constraints in KRU provides a principled alternative to gradient clipping (a common heuristic to avoid exploding gradients).
Further, recent theoretical results suggest the gradient descent converges to a global optimizer of linear recurrent networks even if the learning problem is non-convex provided that the spectral norm of the recurrent matrix is bound by 1.
The key take away from the paper is that state should be high dimensional so that high capacity network can be used for encoding and decoding the input and output. The recurrent dynamics should be implemented via a low capacity model.s per task.


Cascading Style Sheets (CSS) is a style sheet language used for describing the presentation in color and style.CSS is designed primarily to enable the separation of document content. from document presentation, including elements such as the layout, colors, and fonts.


Packages which contain subpackages are not reported. Overly small packages may indicate a fragmented design.
Available only from Code | Inspect Code or Code | Analyze Code | Run Inspection by Name and isn't reported in the editor.
Use the Minimum number of classes field to specify the minimum allowed number of classes in a package.


Home
Menu
Catering
Calendar
About
Smoking Pig Private Catering Service
Full Name
Date
Phone Number
Number of Guest
Type of Event
Wedding
Birthday
Business
Birthday
Other...
Need Staff
Yes
No
Meat Smoker on Site
Yes
No
Comments


| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| api.config.js | 81.13% | 43/53 | 65.12% | 28/43 | 77.78% | 7/9 | 80.85% | 38/47 | |
| api.service.js | 90.68% | 107/118 | 73.33% | 55/75 | 90.91% | 30/33 | 93.4% | 99/106 | |
| aspera.service.js | 48.15% | 26/54 | 50% | 18/36 | 44.44% | 4/9 | 46% | 23/50 | |
| authentication.data.service.js | 96.3% | 26/27 | 62.07% | 18/29 | 100% | 7/7 | 100% | 23/23 | |
| capabilities.service.js | 88.37% | 38/43 | 62.07% | 18/29 | 70% | 7/10 | 89.74% | 35/39 | |
| cart.service.js | 74.3% | 133/179 | 48.21% | 27/56 | 62.16% | 46/74 | 75.8% | 119/157 | |
| collection-context.service.js | 73.53% | 25/34 | 52.94% | 18/34 | 57.14% | 4/7 | 75.86% | 22/29 | |
| collections.service.js | 82.47% | 80/97 | 66% | 33/50 | 78.13% | 25/32 | 83.13% | 69/83 | |
| current-user.service.js | 84.71% | 72/85 | 63.46% | 33/52 | 91.67% | 22/24 | 86.67% | 65/75 | |
| filter.service.js | 27.88% | 46/165 | 19.78% | 18/91 | 15.38% | 4/26 | 28.48% | 43/151 | |
| gallery-view.service.js | 82.35% | 42/51 | 61.11% | 22/36 | 75% | 12/16 | 82.22% | 37/45 | |
| orders.service.js | 96.88% | 31/32 | 66.67% | 22/33 | 100% | 8/8 | 100% | 27/27 | |
| pendo.service.js | 90.48% | 19/21 | 50% | 12/24 | 100% | 4/4 | 94.44% | 17/18 | |
| quote.service.js | 63.41% | 78/123 | 50% | 22/44 | 44.44% | 24/54 | 66.35% | 69/104 | |
| quotes.service.js | 70.37% | 57/81 | 55.32% | 26/47 | 52% | 13/25 | 73.97% | 54/73 | |
| search-context.service.js | 73.85% | 48/65 | 47.73% | 21/44 | 78.57% | 11/14 | 74.58% | 44/59 | |
| sort-definitions.service.js | 64.58% | 31/48 | 48.65% | 18/37 | 44.44% | 4/9 | 65.12% | 28/43 | |
| user-preference.service.js | 86.17% | 81/94 | 59.52% | 25/42 | 82.14% | 23/28 | 87.36% | 76/87 | |
| user.service.js | 95.24% | 60/63 | 62.07% | 18/29 | 95.65% | 22/23 | 96.61% | 57/59 | |
| window-ref.service.js | 84.21% | 16/19 | 50% | 11/22 | 60% | 3/5 | 87.5% | 14/16 |


For the fig-swirl:Melt butter over medium heat in a saucepan. Add brown sugar and stir to dissolve. Halve all of the figs and toss in the saucepan with water and lemon juice. Cook over medium heat, stirring frequently, until you have a chunky-jammy mixture. Add salt with one or two stirs, set aside an dlet cool completely.
Ice cream:In a small pot over medium heat, combine milk, and granulated sugar until sugar is completely dissolved and the milk is just barely lukewarm.Wish in the egg yolks. Set mixture in the fridge and wait until the fig mixture is cooled..
Using an ice cream machine, pour liquids into the frozen basin and process according to manufacturer instructions,i.e., let spin and thicken for 20 minutes before adding mascarpone, fig jam mixture, and the nuts.Countinue to process for +/- 10 minutes. Pour semi-frozen mixture into a pyrex dish or glass tupperware.Freeze for at least twohours before serving.


Download Windows 7 Media Center Updates Fixing Reliability Issues
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java.lang.Object org.apache.xml.serializer.EncodingInfo.EncodingImpl
private class EncodingInfo.EncodingImpl
This class implements the
| Field Summary | |
|---|---|
private EncodingInfo.InEncoding |
m_after
The object, of the same type as this one, that handles unicode values in a range after the range explictly handled by this object, and to which this object may delegate. |
private boolean[] |
m_alreadyKnown
A flag to record if we already know the answer for the given unicode value. |
private EncodingInfo.InEncoding |
m_before
The object, of the same type as this one, that handles unicode values in a range before the range explictly handled by this object, and to which this object may delegate. |
private java.lang.String |
m_encoding
The encoding. |
private int |
m_explFirst
m_explFirst through m_explLast is the range of unicode value that this object handles explicitly and does not delegate to a similar object. |
private int |
m_explLast
|
private int |
m_first
m_first through m_last is the range of unicode values that this object will return an answer on. |
private boolean[] |
m_isInEncoding
A table holding the answer on whether the given unicode value is in the encoding. |
private int |
m_last
|
private static int |
RANGE
The number of unicode values explicitly handled by a single EncodingInfo object. |
| Constructor Summary | |
|---|---|
private |
EncodingInfo.EncodingImpl()
|
private |
EncodingInfo.EncodingImpl(java.lang.String encoding,
int first,
int last,
int codePoint)
|
| Method Summary | |
|---|---|
boolean |
isInEncoding(char ch1)
Returns true if the char is in the encoding |
boolean |
isInEncoding(char high,
char low)
Returns true if the high/low surrogate pair forms a character that is in the encoding. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
private final java.lang.String m_encoding
private final int m_first
private final int m_explFirst
private final int m_explLast
private final int m_last
private EncodingInfo.InEncoding m_before
private EncodingInfo.InEncoding m_after
private static final int RANGE
private final boolean[] m_alreadyKnown
private final boolean[] m_isInEncoding
| Constructor Detail |
|---|
private EncodingInfo.EncodingImpl()
private EncodingInfo.EncodingImpl(java.lang.String encoding, int first, int last, int codePoint)
| Method Detail |
|---|
public boolean isInEncoding(char ch1)
EncodingInfo.InEncoding
isInEncoding
in interface EncodingInfo.InEncoding
public boolean isInEncoding(char high, char low)
EncodingInfo.InEncoding
isInEncoding
in interface EncodingInfo.InEncoding
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| DOSE: T+ 0:00 |
5 tablets |
oral |
MDMA |
(pill / tablet) |
| T+ 3:00 |
1 tablet |
oral |
MDMA |
(pill / tablet) |
| T+ 3:30 |
500 mg |
insufflated |
Ketamine |
(powder / crystals) |
Let me begin by saying that drugs in Britain are a bit different. Here we buy Ket in 1g wraps which is usually prepared by boiling liquid ket with Glucose. It's usually quite clean and not cut with speed or anything else. The cost is standardised and just about anywhere in the UK a gram of Ket will cost you 30 pounds (dunno what that is in USD.)
After a mad nights clubbing where I'd done 5 pills we went back to my friends house for one massive K-Sesh. Most of my mates are pretty experienced and I've been doing drugs for about 2 years, but I'd only been doing ket for a couple of months.
The location was perfect for a massive dosage; everybody was loved-up from a good night out so the feeling was warm and friendly. We had quite a big front room so we put some quiet music on and got down to business. Someone brought glasses of orange juice and tea but I declined cos I tend to chuck on Ket. This guy I hardly knew just said 'Hi, I'm John, here, have a pill.' So I had one of his pills (brown-speckled mitzy) and waited to peak on it before doing some ket.
After a couple of lines I sorta felt invincible (a common feeling on Ket I'm told) so I challenged my mate Mr R. to a ket-race.  Anyway the floor was pine slats, so I got an entire G (yes, 1 gram) and made a line about 36-40' in length on the floor. It looked seriously bad. Anyway Mr. R started at one end I started at the other. 20 seconds later I had snorted the entire half and Mr R was not far behind.
There was no warning; suddenly I was propelled into the biggest KHole I have ever experienced.  The entire room and all my friends dissolved and I felt alone. I rememeber my KTrip quite well if you let me I'll tell you about it.
 Er, this was the point i thought 'Oh fuck, I'm gonna die now'
The only feeling I got was one of sheer terror.
The rest is sketchy but I certainly remeber hallucinating my own death. Basically I started to fall deeper and deeper into nothingless (kinda like that bit on 'Bill'n'Teds bogus journey' when they fall into hell but a hell of a lot worse) and then I hit something hard and I saw myself impaled on this great big steel spike that just appeared out of nowhere. There was blood everywhere. I was screaming in both my trip and in the real world (so my friends tell me)
The trip lasted about 2 hours and when I came to the whole room was just spinning uncontrollably. I felt sick, weak and very upset.
I don't rememeber the rest. I still sometimes get flashbacks. Although I continue to pill, I've never touched Ket again.
Yours,
Mr H
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


A data only package with spectral 'transmittance' data for frequently used filters and similar materials. Plastic sheets and films; optical glass and ordinary glass and some labware.
| Version: | 0.4.4 |
| Depends: | R (≥ 3.3.0), photobiology (≥ 0.9.18) |
| Suggests: | knitr (≥ 1.17), rmarkdown (≥ 1.8), ggplot2 (≥ 2.2.1), ggspectra (≥ 0.2.3), photobiologyWavebands (≥ 0.4.2) |
| Published: | 2018-01-15 |
| Author: | Pedro J. Aphalo [aut, cre], Titta K. Kotilainen [ctb] (Contributed data), Tania de la Rosa [ctb] (Contributed data), Riitta Tegelberg [ctb] (Contributed data), SCHOTT AG [ctb] (Contributed data), Midwest Optical Systems, Inc. (MidOpt) [ctb] (Contributed data) |
| Maintainer: | Pedro J. Aphalo <pedro.aphalo at helsinki.fi> |
| BugReports: | https://bitbucket.org/aphalo/photobiologyfilters |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.r4photobiology.info/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | photobiologyFilters results |
| Reference manual: | photobiologyFilters.pdf |
| Vignettes: |
User Guide |
| Package source: | photobiologyFilters_0.4.4.tar.gz |
| Windows binaries: | r-devel: photobiologyFilters_0.4.4.zip, r-release: photobiologyFilters_0.4.4.zip, r-oldrel: photobiologyFilters_0.4.4.zip |
| OS X binaries: | r-release: photobiologyFilters_0.4.4.tgz, r-oldrel: photobiologyFilters_0.4.4.tgz |
Please use the canonical form https://CRAN.R-project.org/package=photobiologyFilters to link to this page.


Class EXTTessellationShader
- java.lang.Object
-
- org.lwjgl.opengles.EXTTessellationShader
-
public class EXTTessellationShader extends java.lang.Object
Native bindings to the EXT_tessellation_shader extension.This extension introduces new tessellation stages and two new shader types to the OpenGL ES primitive processing pipeline. These pipeline stages operate on a new basic primitive type, called a patch. A patch consists of a fixed-size collection of vertices, each with per-vertex attributes, plus a number of associated per-patch attributes. Tessellation control shaders transform an input patch specified by the application, computing per-vertex and per-patch attributes for a new output patch. A fixed-function tessellation primitive generator subdivides the patch, and tessellation evaluation shaders are used to compute the position and attributes of each vertex produced by the tessellator.
When tessellation is active, it begins by running the optional tessellation control shader. This shader consumes an input patch and produces a new fixed-size output patch. The output patch consists of an array of vertices, and a set of per-patch attributes. The per-patch attributes include tessellation levels that control how finely the patch will be tessellated. For each patch processed, multiple tessellation control shader invocations are performed -- one per output patch vertex. Each tessellation control shader invocation writes all the attributes of its corresponding output patch vertex. A tessellation control shader may also read the per-vertex outputs of other tessellation control shader invocations, as well as read and write shared per-patch outputs. The tessellation control shader invocations for a single patch effectively run as a group. A built-in barrier() function is provided to allow synchronization points where no shader invocation will continue until all shader invocations have reached the barrier.
The tessellation primitive generator then decomposes a patch into a new set of primitives using the tessellation levels to determine how finely tessellated the output should be. The primitive generator begins with either a triangle or a quad, and splits each outer edge of the primitive into a number of segments approximately equal to the corresponding element of the outer tessellation level array. The interior of the primitive is tessellated according to elements of the inner tessellation level array. The primitive generator has three modes: "triangles" and "quads" split a triangular or quad-shaped patch into a set of triangles that cover the original patch; "isolines" splits a quad-shaped patch into a set of line strips running across the patch horizontally. Each vertex generated by the tessellation primitive generator is assigned a (u,v) or (u,v,w) coordinate indicating its relative location in the subdivided triangle or quad.
For each vertex produced by the tessellation primitive generator, the tessellation evaluation shader is run to compute its position and other attributes of the vertex, using its (u,v) or (u,v,w) coordinate. When computing final vertex attributes, the tessellation evaluation shader can also read the attributes of any of the vertices of the patch written by the tessellation control shader. Tessellation evaluation shader invocations are completely independent, although all invocations for a single patch share the same collection of input vertices and per-patch attributes.
The tessellator operates on vertices after they have been transformed by a vertex shader. The primitives generated by the tessellator are passed further down the OpenGL ES pipeline, where they can be used as inputs to geometry shaders, transform feedback, and the rasterizer.
The tessellation control and evaluation shaders are both optional. If neither shader type is present, the tessellation stage has no effect. However, if either a tessellation control or a tessellation evaluation shader is present, the other must also be present.
Not all tessellation shader implementations have the ability to write the point size from a tessellation shader. Thus a second extension string and shading language enable are provided for implementations which do support tessellation shader point size.
This extension relies on the EXT_shader_io_blocks extension to provide the required functionality for declaring input and output blocks and interfacing between shaders.
This extension relies on the EXT_gpu_shader5 extension to provide the 'precise' and 'fma' functionality which are necessary to ensure crack-free tessellation.
Requires
GLES 3.1
.
-
-
Field Summary
-
Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method and Description static void
glPatchParameteriEXT(int pname, int value)
-
-
-
Field Detail
-
GL_PATCHES_EXT
public static final int GL_PATCHES_EXT
Accepted by themode
parameter of DrawArrays, DrawElements, and other commands which draw primitives.- See Also:
- Constant Field Values
-
GL_PATCH_VERTICES_EXT
public static final int GL_PATCH_VERTICES_EXT
Accepted by thepname
parameter of PatchParameteriEXT, GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_TESS_CONTROL_OUTPUT_VERTICES_EXT
public static final int GL_TESS_CONTROL_OUTPUT_VERTICES_EXT
Accepted by thepname
parameter of GetProgramiv.- See Also:
- Constant Field Values
-
GL_TESS_GEN_MODE_EXT
public static final int GL_TESS_GEN_MODE_EXT
Accepted by thepname
parameter of GetProgramiv.- See Also:
- Constant Field Values
-
GL_TESS_GEN_SPACING_EXT
public static final int GL_TESS_GEN_SPACING_EXT
Accepted by thepname
parameter of GetProgramiv.- See Also:
- Constant Field Values
-
GL_TESS_GEN_VERTEX_ORDER_EXT
public static final int GL_TESS_GEN_VERTEX_ORDER_EXT
Accepted by thepname
parameter of GetProgramiv.- See Also:
- Constant Field Values
-
GL_TESS_GEN_POINT_MODE_EXT
public static final int GL_TESS_GEN_POINT_MODE_EXT
Accepted by thepname
parameter of GetProgramiv.- See Also:
- Constant Field Values
-
GL_ISOLINES_EXT
public static final int GL_ISOLINES_EXT
Returned by GetProgramiv whenpname
is TESS_GEN_MODE_EXT.- See Also:
- Constant Field Values
-
GL_QUADS_EXT
public static final int GL_QUADS_EXT
Returned by GetProgramiv whenpname
is TESS_GEN_MODE_EXT.- See Also:
- Constant Field Values
-
GL_FRACTIONAL_ODD_EXT
public static final int GL_FRACTIONAL_ODD_EXT
Returned by GetProgramiv whenpname
is TESS_GEN_SPACING_EXT.- See Also:
- Constant Field Values
-
GL_FRACTIONAL_EVEN_EXT
public static final int GL_FRACTIONAL_EVEN_EXT
Returned by GetProgramiv whenpname
is TESS_GEN_SPACING_EXT.- See Also:
- Constant Field Values
-
GL_MAX_PATCH_VERTICES_EXT
public static final int GL_MAX_PATCH_VERTICES_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_GEN_LEVEL_EXT
public static final int GL_MAX_TESS_GEN_LEVEL_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_CONTROL_UNIFORM_COMPONENTS_EXT
public static final int GL_MAX_TESS_CONTROL_UNIFORM_COMPONENTS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_EVALUATION_UNIFORM_COMPONENTS_EXT
public static final int GL_MAX_TESS_EVALUATION_UNIFORM_COMPONENTS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_CONTROL_TEXTURE_IMAGE_UNITS_EXT
public static final int GL_MAX_TESS_CONTROL_TEXTURE_IMAGE_UNITS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_EVALUATION_TEXTURE_IMAGE_UNITS_EXT
public static final int GL_MAX_TESS_EVALUATION_TEXTURE_IMAGE_UNITS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_CONTROL_OUTPUT_COMPONENTS_EXT
public static final int GL_MAX_TESS_CONTROL_OUTPUT_COMPONENTS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_PATCH_COMPONENTS_EXT
public static final int GL_MAX_TESS_PATCH_COMPONENTS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_CONTROL_TOTAL_OUTPUT_COMPONENTS_EXT
public static final int GL_MAX_TESS_CONTROL_TOTAL_OUTPUT_COMPONENTS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_EVALUATION_OUTPUT_COMPONENTS_EXT
public static final int GL_MAX_TESS_EVALUATION_OUTPUT_COMPONENTS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_CONTROL_UNIFORM_BLOCKS_EXT
public static final int GL_MAX_TESS_CONTROL_UNIFORM_BLOCKS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_EVALUATION_UNIFORM_BLOCKS_EXT
public static final int GL_MAX_TESS_EVALUATION_UNIFORM_BLOCKS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_CONTROL_INPUT_COMPONENTS_EXT
public static final int GL_MAX_TESS_CONTROL_INPUT_COMPONENTS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_EVALUATION_INPUT_COMPONENTS_EXT
public static final int GL_MAX_TESS_EVALUATION_INPUT_COMPONENTS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_COMBINED_TESS_CONTROL_UNIFORM_COMPONENTS_EXT
public static final int GL_MAX_COMBINED_TESS_CONTROL_UNIFORM_COMPONENTS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_COMBINED_TESS_EVALUATION_UNIFORM_COMPONENTS_EXT
public static final int GL_MAX_COMBINED_TESS_EVALUATION_UNIFORM_COMPONENTS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_CONTROL_ATOMIC_COUNTER_BUFFERS_EXT
public static final int GL_MAX_TESS_CONTROL_ATOMIC_COUNTER_BUFFERS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_EVALUATION_ATOMIC_COUNTER_BUFFERS_EXT
public static final int GL_MAX_TESS_EVALUATION_ATOMIC_COUNTER_BUFFERS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_CONTROL_ATOMIC_COUNTERS_EXT
public static final int GL_MAX_TESS_CONTROL_ATOMIC_COUNTERS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_EVALUATION_ATOMIC_COUNTERS_EXT
public static final int GL_MAX_TESS_EVALUATION_ATOMIC_COUNTERS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_CONTROL_IMAGE_UNIFORMS_EXT
public static final int GL_MAX_TESS_CONTROL_IMAGE_UNIFORMS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_EVALUATION_IMAGE_UNIFORMS_EXT
public static final int GL_MAX_TESS_EVALUATION_IMAGE_UNIFORMS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_CONTROL_SHADER_STORAGE_BLOCKS_EXT
public static final int GL_MAX_TESS_CONTROL_SHADER_STORAGE_BLOCKS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_MAX_TESS_EVALUATION_SHADER_STORAGE_BLOCKS_EXT
public static final int GL_MAX_TESS_EVALUATION_SHADER_STORAGE_BLOCKS_EXT
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_PRIMITIVE_RESTART_FOR_PATCHES_SUPPORTED
public static final int GL_PRIMITIVE_RESTART_FOR_PATCHES_SUPPORTED
Accepted by thepname
parameter of GetBooleanv, GetFloatv, GetIntegerv, and GetInteger64v.- See Also:
- Constant Field Values
-
GL_IS_PER_PATCH_EXT
public static final int GL_IS_PER_PATCH_EXT
Accepted by theprops
parameter of GetProgramResourceiv.- See Also:
- Constant Field Values
-
GL_REFERENCED_BY_TESS_CONTROL_SHADER_EXT
public static final int GL_REFERENCED_BY_TESS_CONTROL_SHADER_EXT
Accepted by theprops
parameter of GetProgramResourceiv.- See Also:
- Constant Field Values
-
GL_REFERENCED_BY_TESS_EVALUATION_SHADER_EXT
public static final int GL_REFERENCED_BY_TESS_EVALUATION_SHADER_EXT
Accepted by theprops
parameter of GetProgramResourceiv.- See Also:
- Constant Field Values
-
GL_TESS_EVALUATION_SHADER_EXT
public static final int GL_TESS_EVALUATION_SHADER_EXT
Accepted by thetype
parameter of CreateShader, by thepname
parameter of GetProgramPipelineiv, and returned by theparams
parameter of GetShaderiv.- See Also:
- Constant Field Values
-
GL_TESS_CONTROL_SHADER_EXT
public static final int GL_TESS_CONTROL_SHADER_EXT
Accepted by thetype
parameter of CreateShader, by thepname
parameter of GetProgramPipelineiv, and returned by theparams
parameter of GetShaderiv.- See Also:
- Constant Field Values
-
GL_TESS_CONTROL_SHADER_BIT_EXT
public static final int GL_TESS_CONTROL_SHADER_BIT_EXT
Accepted by thestages
parameter of UseProgramStages.- See Also:
- Constant Field Values
-
GL_TESS_EVALUATION_SHADER_BIT_EXT
public static final int GL_TESS_EVALUATION_SHADER_BIT_EXT
Accepted by thestages
parameter of UseProgramStages.- See Also:
- Constant Field Values
-
-


Hi all
This is my first post so please hang in there as I try to explain my issues ;-)
I am running a Grid Connected Solar install with no diversion so all excess is sold back to grid. I have a emontx v3 and emoncms 8 running on a pi with two ct clamps and an AC-AC 9v adaptor, our power here is 230v. I am trying to get the input feeds right so I can show four main things.
1. PV generation
2. Power usage
3. Energy sold back to grid
4. Energy purchased from grid
Currently I have CT1 setup on the solar PV cable and CT2 on the Grid meter side. I have included few screenshots to show what is not working. The last of the dials should be showing 0 as we are not importing any energy at present, but I am not sure where I have gone wrong.
Many thanks for the help.
Nathan
Re: Trying to figue out Solar with out energy diversion
Hi Nathan, welcome to oem.
To me it looks like your grid ct maybe inverted. The calculations are much easier if import is a positive figure,
that way solar + grid = consumption (so log all your solar feeds then consumption feeds on the solar input page)
and then use the grid input page to separate and log import and export using the allow positive and allow negatives
Paul
Re: Trying to figue out Solar with out energy diversion
Is CT1 going to Node 1, and CT2 to Node 2? Because it looks to me from your input list for 10:1 at the beginning that CT1 ought to be on the grid infeed and CT2 on the PV infeed, yet on line 13 of input 1 that treats CT2 as Grid; and on the input list for 10:2 the first log to feed is PV generated.
According to my understanding, and assuming positive is power generated and power imported:
PV generation is CT1 (pure & simple). It will go negative overnight as the inverter consumes some power in standby.
Power/Energy Sold is the negative part of CT2.
Power/Energy Purchased is the positive part of CT2.
Usage is (CT1 + CT2) It should never go negative.
Assuming CT1 is on the PV infeed and CT2 is on the Grid infeed, then this seems to do what you want (the basics only):
Input configuration: CT1
1 Log to feed - Generated
2 + input CT2
3 Log to feed - Use
Input configuration: CT2
1 Allow positive 0
2 Log to feed - Purchased
3 Allow negative 0
4 + input CT2
5 Allow negative 0
6 x -1
7 Log to feed - Sold
Re: Trying to figue out Solar with out energy diversion
Ok thanks, it is dark here in New Zealand at present so i have built up the feeds and will test the Ct orientation tomorrow. Many thanks for all the help.
Nathan
Re: Trying to figue out Solar with out energy diversion
Thanks so much guys, Changed the CT orientation and used Roberts design above and it works a treat. I have also now added kWh/d feeds and Histograms so I can make nice looking graphs to impress the ladies ;-) (Mrs Monk). The attached is a screen grab of a trickle of power first thing this morning.
Thanks again, it is all starting to make sense.
Nathan
Re: Trying to figue out Solar with out energy diversion
Thanks to Nathan and Robert I was able to finally get my PV monitoring dashboard up and running. Very happy with the results and most impressed with the ease of use (once you get your head around the relationships between inputs and feeds etc).
The daily bar graphs are a bit empty as this has only been running today.


HSP : Hot Soup Processor ver3.6 / onion software 1997-2021(c)
HSP is a scripting language system that anyone can easily use. You can easily build applications such as game programs, screen savers, tools and practical software using images just by writing a text script.
HSP has the following features.
HSP can be used in various situations depending on your idea.
HSP3 can run the development environment on Microsoft Windows, Linux / Raspberry Pi . For detailed installation and usage, refer to the manual for each platform.
See the programming manual for HSP3 grammar and programming rules.
The only development environment that supports the full functionality of HSP3 is the Windows version. The Linux / Raspberry Pi version only supports the command line version and HSP3Dish.
Source code created in these development environments can be run on android, iOS, html5 (WebGL) . (There are some restrictions for each platform)
For more information on multi-platform, see HSP3Dish Programming Manual .
This software is supported on the homepage on the Internet. The official page is the following URL. You can get the latest information about HSP, samples, bulletin boards, FAQs and much more. Please try to access it.
We are always looking forward to your opinions, bug information and requests regarding HSP. If possible, please send e-mail to the following address on the Internet.
I have read all the emails I received, but regarding replies and reflection of requests, etc. Please note that the author may not be able to respond immediately.
For general questions about HSP and questions about how to write scripts, Information is also provided in FAQs and books on the Internet, so it is recommended that you check it first.
Please check the official site HSPTV! for the announcement of the stable version and beta test version.
The latest beta version of Windows under development is also available on OneDrive at any time.
You can get the entire archive from "Download".
The Windows version of the source code is mastered by the OpenHSP Subversion repository. The Linux / Raspberry Pi version will be updated from time to time in the github repository.
The beta version is a test version for verifying new features and fixes. Please note that there is a possibility of unexpected problems.
If something goes wrong or the operation is not stable, it is recommended to revert to the previous version and use it.
We will continue to develop HSP3 with the aim of creating an environment where ideas can be realized more easily and in a short time.
From the many requests and bug reports, we would like to gradually incorporate the ones that can be implemented.
Future plans and future considerations are as follows.
We will continue to update the updated version for the functions that could not be introduced in HSP3.51. The functions that are being considered for introduction in the future are as follows. (It does not mean that it is done in this order.)
HSP2 first appeared in 1997, and HSP3 eight years later, but I hope to be able to connect to the next generation as the times change.
The situation required for programming is also changing. While inheriting the convenience of HSP, I would like to announce a roadmap that is easy to use with some compatibility cut.
Currently, we are considering full UTF-8, 64-bit support, automatic code analysis and learning function, VM renewal (llvm etc.), native compilation (JIT) and so on.
Opinions and information are exchanged between HSP users, and support is also actively carried out. Many homepages are introduced by related links on the HSP official page. In addition, various information is also provided on the following pages.
The rights of the original software (executable file) created by the user using HSP are It belongs to the user who created it.
The original software (executable file) created by the user using HSP is You are free to display, distribute, and sell at communication, spot sales, and stores. Also, no license fee is required. (It can be used in any form regardless of commercial, non-commercial, or douujin software. However, please do not use it for illegal activities. )
When attaching, duplicating or reorganizing files other than the executable file generated by HSP, Please follow the conditions of "Copyright and license".
The software created by the user has both the copyright notice of onion software and the obligation to indicate that it uses HSP. There is none. Onion software does not claim copyright to the original software.
Regarding secondary development systems (game creation systems, etc.) created using HSP, Please operate at the responsibility of the author who created the system.
Those who are considering operating the produced software for commercial use and who wish to receive support for a fee Please contact us by email at<EMAIL_ADDRESS>We will inform you about the details.
The HSP3.6 full set includes materials related to Tamane-chan and Prosei-chan, created in collaboration with the live programming character "Professional Student" and the HSP3 mascot character "Tamane-chan".
The recorded material is the same as "HSP3.6 Pro Student Edition".
The HSP3.6 full set has the same specifications as the main body, except for the background material of the script editor and the 3D material of the professional student from the HSP3.6 professional student edition.
The following files are provided as professional student collaboration materials.
mini_kei.png mini_tamane.png kei_knight1_1.png kei_knight1_2.png kei_knight1_3.png kei_knight1_4.png kei_knight1_5.png kei_knight2_1.png kei_knight2_2.png kei_knight2_3.png kei_knight2_4.png kei_knight2_5.png kei_school1_1.png kei_school1_2.png kei_school1_3.png kei_school1_4.png kei_school1_5.png tamane_wizard1_1.png tamane_wizard1_2.png tamane_wizard1_3.png tamane_wizard1_4.png tamane_wizard1_5.png tamane_wizard2_1.png tamane_wizard2_2.png tamane_wizard2_3.png tamane_wizard2_4.png tamane_wizard2_5.png tamane_school1_1.png tamane_school1_2.png tamane_school1_3.png tamane_school1_4.png tamane_school1_5.png pronama.bmp
Professional student collaboration materials can be freely used and distributed by users with the same license as HSP, following the guidelines.
(There is no obligation to write the copyright even if you use the data. Also, you can use it in any form, not limited to HSP3.)
When using the material, be sure to read the usage guidelines for "Professional Student" and "Tamane-chan".
Professional student (Kei Kurui) usage guidelines https://kei.pronama.jp/guideline/ Tamane-chan usage guidelines http://hsp.tv/make/tamane2d.html
The HSP3 full set is a composite package consisting of an "HSP development system" and "additional components". The HSP development system is a central element of development and refers to the following items.
Files included in the HSP development system can be freely attached, duplicated, reorganized, and redistributed under the BSD license. can. In that case, please specify HSP license notation (hsplicense.txt) .
(This license does not apply to executable files created using HSP. It is applied only when the files included in the HSP development system are published as they are. For licenses related to the original software created by the user Please refer to the item " About the license of software made by HSP ". )
(Certification of license notation should include hsplicense.txt in the distribution or in the documentation Make sure to include the same content as hsplicense.txt. Use in companies and schools You can treat it as free of charge. )
The HSP development system is basically provided without warranty, but support for commercial use etc. is provided. If you contact onion software<EMAIL_ADDRESS>by email, I will consider it.
The copyright of the HSP development system belongs to onion software. onion software does not guarantee any damage caused by this program. Use at your own risk.
The language specifications of Hot Soup Processor including HSP2 and HSP3 are Onion Software / onitama is in charge of maintenance.
For HSP language specification changes and requests for reorganization, please contact the developer community and bulletin boards. We accept HSP3 WishList, HSP Wiki, etc. and are considering it.
The processing system that plays a central role in HSP interpreter code generation and execution is as OpenHSP. Published by open source. By publishing the source related to HSP3 with open specifications, it is possible to support more environments and reliability. We would like to improve maintainability.
Onion software is continuing activities to popularize it while proposing the use of IT basic education through HSP.
Please use it for elementary school, junior high school, high school classes, club activities, etc. Of course, the HSP itself can be used free of charge, and the attached manuals, documents, etc. You can freely quote, reorganize, and redistribute texts such as help data. In addition, many reference books are on sale in Japan, and a lot of information is available even if you study by yourself.
Lectures have already been given in some computer classrooms, and even in the "IT Craftsmanship Project" supported by the Ministry of Economy, Trade and Industry, Education using HSP was practiced.
HSP is considered to have many advantages for beginners and beginners. Beginners and beginners think that it is necessary to create an environment where they can enjoy learning more than anything else, and the pictures move and the sounds come out. We emphasize elements that allow us to continue learning without losing interest, such as reacting.
The following pages provide information about educational uses.
HSP is not particularly compatible with other languages (although it is mostly BASIC), Nor does it have a new language system.
The aim of HSP is an old-style personal computer system.
Older computers are overwhelmingly poorer in memory and CPU speed than current ones, I turned it on and it was ready to use, and I could see the result immediately by typing RUN on BASIC. I feel that such an easy and easy system is being lost in today's personal computers.
There are no advanced language specifications such as object-oriented here, It's easy to write in the order you want. And I think that is also one way for small-scale development and beginner programming learning.
HSP is by no means a versatile system. If you want to do more advanced things or large-scale development with an interpreter, Languages such as C #, Python, and Java are better suited. I wish HSP could make a small turn for a little processing that does not need to use such a high-class language.
(Onitama)
HSP3 and HSPTV design work was created by Mr. Sencha and Mr. Yuka Yume Yume.
The HSP script editor (hsed3.exe) was created with the help of Lonely Wolf, Shark ++, inovia, and Tetr @ pod. From HSP3.51, the extension function of the modified version HSP3 script editor (implemented by inovia and Tetr @ pod) is incorporated.
I am using HyperPageProject's Football library as the editor engine of the HSP script editor (hsed3.exe).
The source for calling COM objects and processing events is created with the cooperation of Mr. Chokuto.
HSP Docs Library, d3module, Artlet2D, SQLele are included by S.Programs.
hsp3dish.js (Emscripten version) was implemented based on the one produced by zakki and K-s.
HSPLet was provided by Mr. Yuki Yamada.
The HSPUSBIO plug-in is included with the one made by Mr. K-K (jarring hall).
The USBIO operation DLL, hidmon.dll, has been created and published by iruka and senshu.
For the llmod3 module, we used the one developed by tom and Shibayan.
For the mod_regexp module, I used the one developed by monolith.
For the standard macro related to switch, I used the one created by Mr. USK and Mr. NGND001.
For the standard macros, _continue and _break, I used the ones created by test.
We would like to thank yoshis, naka, JET, and eller for their cooperation in creating instruction help and documents.
Definition files related to WIN32API (advapi32.as, comctl32.as, comdlg32.as, gdi32.as, kernel32.as, shell32.as, user32.as, winmm.as) is included with the one made by Mr. Sakura. On the page of Mr. Sakura (HSP-NEXT), there are many other useful information such as materials for HSP3 and TIPS.
The cgi-related samples and headers are included with the ones produced by Mr. Yuguro.
Tom gave me some helpful advice on loadlib / llmod and WIN32API.
Mathematics related macros (hspmath.as) are included in the ones published on HSP WiKi.
The HSP3 utility macro (hsp3util.as) is included with HSPWiKi and the one created by Puma-san.
Mr. arue gave me some advice on HGIMG3 / 4 and documentation. Also, the HSP3 script icon (hspscr_icon) and the volume of the sample demo were adjusted.
For the call stack display of the debug window, I used the one developed by mjhd_otsuka.
hsp3utf and modclbk3.hsp are included based on the ones created and published by tds12.
The Linux version of hsp3 and the script editor have been implemented based on the ones created and published by Mr. K-K (Jarringdo).
The iconins tool has been created and published by Kpan, Tetr @ pod, and inovia.
ZLibWrap.dll is included in the package created and published by StreamletStudio.
The free materials in the HSPTV folder are included with permission from Y-Jinn, NAO / Graphics / Lab', and everyone else.
We would like to thank everyone who made many corrections and advice on OpenHSP, especially fujidig, Shark ++, naznyark, tds12, ue_dai, kurogoma, inovia, Madotsuki Lala, Drip, and zakki.
In addition, HSP peripheral tool developer ML (HSPDev-ML), beta version test report, We would like to thank the many people who gave us their opinions.


KEYCTL
Section: Linux Key Management Calls (2)
Updated: 2014-01-22
Index
Return to Main Contents
NAME
keyctl - manipulate the kernel's key management facility
SYNOPSIS
#include <keyutils.h>
long keyctl(int cmd, ...);
DESCRIPTION
keyctl()
has a number of functions available:
- KEYCTL_GET_KEYRING_ID
-
Ask for a keyring's ID.
- KEYCTL_JOIN_SESSION_KEYRING
-
Join or start named session keyring.
- KEYCTL_UPDATE
-
Update a key.
- KEYCTL_REVOKE
-
Revoke a key.
- KEYCTL_CHOWN
-
Set ownership of a key.
- KEYCTL_SETPERM
-
Set perms on a key.
- KEYCTL_DESCRIBE
-
Describe a key.
- KEYCTL_CLEAR
-
Clear contents of a keyring.
- KEYCTL_LINK
-
Link a key into a keyring.
- KEYCTL_UNLINK
-
Unlink a key from a keyring.
- KEYCTL_SEARCH
-
Search for a key in a keyring.
- KEYCTL_READ
-
Read a key or keyring's contents.
- KEYCTL_INSTANTIATE
-
Instantiate a partially constructed key.
- KEYCTL_NEGATE
-
Negate a partially constructed key.
- KEYCTL_SET_REQKEY_KEYRING
-
Set default request-key keyring.
- KEYCTL_SET_TIMEOUT
-
Set timeout on a key.
- KEYCTL_ASSUME_AUTHORITY
-
Assume authority to instantiate key.
These are wrapped by
libkeyutils
into individual functions to permit compiler the compiler to check types.
See the
See Also
section at the bottom.
RETURN VALUE
On success
keyctl()
returns the serial number of the key it found.
On error, the value -1
will be returned and errno will have been set to an appropriate error.
ERRORS
- EACCES
-
A key operation wasn't permitted.
- EDQUOT
-
The key quota for the caller's user would be exceeded by creating a key or
linking it to the keyring.
- EKEYEXPIRED
-
An expired key was found or specified.
- EKEYREJECTED
-
A rejected key was found or specified.
- EKEYREVOKED
-
A revoked key was found or specified.
- ENOKEY
-
No matching key was found or an invalid key was specified.
LINKING
Although this is a Linux system call, it is not present in
libc
but can be found rather in
libkeyutils.
When linking,
-lkeyutils
should be specified to the linker.
SEE ALSO
keyctl(1),
add_key(2),
request_key(2),
keyctl_set_timeout(3),
keyctl_chown(3),
keyctl_clear(3),
keyctl_describe(3),
keyctl_describe_alloc(3),
keyctl_get_keyring_ID(3),
keyctl_instantiate(3),
keyctl_join_session_keyring(3),
keyctl_link(3),
keyctl_negate(3),
keyctl_revoke(3),
keyctl_search(3),
keyctl_setperm(3),
keyctl_set_reqkey_keyring(3),
keyctl_set_timeout(3),
keyctl_read(3),
keyctl_read_alloc(3),
keyctl_unlink(3),
keyctl_update(3),
request-key(8)
The kernel source file
Documentation/security/keys.txt.
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- RETURN VALUE
-
- ERRORS
-
- LINKING
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 02:54:49 GMT, September 18, 2014