from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from subprocess import Popen
import sys
from functools import wraps
from numpy import array
from numpy import asarray
from numpy import atleast_2d
from numpy import nan_to_num
from numpy import nonzero
from numpy import seterr
from numpy import sum
from numpy import zeros
from numpy import absolute
from numpy.linalg import cond
from scipy import cross
from scipy.linalg import cho_factor
from scipy.linalg import cho_solve
from scipy.linalg import lstsq
from scipy.linalg import qr
from scipy.linalg import svd
from scipy.io import loadmat
from scipy.io import savemat
from scipy.sparse.linalg import factorized
from scipy.sparse.linalg import spsolve
import compas
old_settings = seterr(all='ignore')
__all__ = [
'nullspace',
'rank',
'dof',
'pivots',
'nonpivots',
'rref',
'rref_sympy',
'rref_matlab',
'uvw_lengths',
'normrow',
'normalizerow',
'rot90',
'solve_with_known',
'spsolve_with_known',
'chofactor',
'lufactorized'
]
# ==============================================================================
# Fundamentals
# ==============================================================================
[docs]def nullspace(A, tol=0.001):
r"""Calculates the nullspace of the input matrix A.
Parameters
----------
A : array-like
Matrix A represented as an array or list.
tol : float
Tolerance.
Returns
-------
array
Null(A).
Notes
-----
The nullspace is the set of vector solutions to the equation
.. math::
\mathbf{A} \mathbf{x} = 0
where 0 is a vector of zeros.
When determining the nullspace using SVD decomposition (A = U S Vh),
the right-singular vectors (rows of Vh or columns of V) corresponding to
vanishing singular values of A, span the nullspace of A.
Examples
--------
>>> nullspace(array([[2, 3, 5], [-4, 2, 3]]))
[[-0.03273859]
[-0.85120177]
[ 0.52381647]]
"""
A = atleast_2d(asarray(A, dtype=float))
u, s, vh = svd(A, compute_uv=True)
tol = s[0] * tol
r = (s >= tol).sum()
# nullspace
# ---------
# if A is m x n
# the last (n - r) columns of v (or the last n - r rows of vh)
null = vh[r:].conj().T
return null
[docs]def rank(A, tol=0.001):
r"""Calculates the rank of the input matrix A.
Parameters
----------
A : array-like
Matrix A represented as an array or list.
tol : float
Tolerance.
Returns
-------
int
rank(A)
Notes
-----
The rank of a matrix is the maximum number of linearly independent rows in
a matrix. Note that the row rank is equal to the column rank of the matrix.
Examples
--------
>>> rank([[1, 2, 1], [-2, -3, 1], [3, 5, 0]])
2
"""
A = atleast_2d(asarray(A, dtype=float))
s = svd(A, compute_uv=False)
tol = s[0] * tol
r = (s >= tol).sum()
return r
[docs]def dof(A, tol=0.001, condition=False):
r"""Returns the degrees-of-freedom of the input matrix A.
Parameters
----------
A : array-like
Matrix A represented as an array or list.
tol : float (0.001)
Tolerance.
condition : bool (False)
Return the condition number of the matrix.
Returns
-------
int
Column degrees-of-freedom.
int
Row degrees-of-freedom.
float
Condition number, if ``condition`` is ``True``.
Notes
-----
The degrees-of-freedom are the number of columns and rows minus the rank.
Examples
--------
>>> dof([[2, -1, 3,], [1, 0, 1], [0, 2, -1], [1, 1, 4]], condition=True)
(0, 1, 5.073597)
"""
A = atleast_2d(asarray(A, dtype=float))
r = rank(A, tol=tol)
k = A.shape[1] - r
m = A.shape[0] - r
if condition:
c = cond(A)
return k, m, c
return k, m
[docs]def pivots(U, tol=None):
r"""Identify the pivots of input matrix U.
Parameters
----------
U : array-like
Matrix U represented as an array or list.
Returns
-------
list
Pivot column indices.
Notes
-----
If the matrix U is in Reduced Row Echelon Form,
the pivots are the columns with leading non-zero coefficients per row.
Examples
--------
>>> A = [[1, 0, 1, 3], [2, 3, 4, 7], [-1, -3, -3, -4]]
>>> n = rref(A, algo='sympy')
>>> pivots(n)
[0, 1]
"""
if tol is None:
tol = sys.float_info.epsilon
U = atleast_2d(array(U, dtype=float))
U[absolute(U) < tol] = 0.0
pivots = []
for row in U:
cols = nonzero(row)[0]
if len(cols):
pivots.append(cols[0])
return pivots
[docs]def nonpivots(U, tol=None):
r"""Identify the non-pivots of input matrix U.
Parameters
----------
U : array-like
Matrix U represented as an array or list.
Returns
-------
list
Non-pivot column indices.
Notes
-----
If the matrix U is in Reduced Row Echelon Form,
the nonpivots are the columns with non-zero coefficients that are not leading their row.
Examples
--------
>>> A = [[1, 0, 1, 3], [2, 3, 4, 7], [-1, -3, -3, -4]]
>>> n = rref(A, algo='sympy')
>>> nonpivots(n)
[2, 3]
"""
U = atleast_2d(asarray(U, dtype=float))
cols = pivots(U, tol=tol)
return list(set(range(U.shape[1])) - set(cols))
[docs]def rref(A, tol=None):
r"""Reduced row-echelon form of matrix A.
Parameters
----------
A : array-like
Matrix A represented as an array or list.
tol : float
Tolerance.
Returns
-------
array
RREF of A.
Notes
-----
A matrix is in reduced row-echelon form after Gauss-Jordan elimination.
Examples
--------
>>> A = [[1, 0, 1, 3], [2, 3, 4, 7], [-1, -3, -3, -4]]
>>> n = rref(A, algo='sympy')
>>> array(n)
[[1.0 0 1.0 3.0]
[0 1.0 0.667 0.333]
[0 0 0 0]]
"""
A = atleast_2d(asarray(A, dtype=float))
# do qr with column pivoting
# to have non-decreasing absolute values on the diagonal of R
# column pivoting ensures that the largest absolute value is used
# as leading element
_, U = qr(A)
lead_pos = 0
num_rows, num_cols = U.shape
for r in range(num_rows):
if lead_pos >= num_cols:
return
i = r
# find a nonzero lead in column lead_pos
while U[i][lead_pos] == 0:
i += 1
if i == num_rows:
i = r
lead_pos += 1
if lead_pos == num_cols:
return
# swap the row with the nonzero lead with the current row
U[[i, r]] = U[[r, i]]
# "normalize" the values of the row
lead_val = U[r][lead_pos]
U[r] = U[r] / lead_val
# make sure all other column values are zero
for i in range(num_rows):
if i != r:
lead_val = U[i][lead_pos]
U[i] = U[i] - lead_val * U[r]
# go to the next column
lead_pos += 1
return U
[docs]def rref_sympy(A, tol=None):
r"""Reduced row-echelon form of matrix A.
Parameters
----------
A : array-like
Matrix A represented as an array or list.
tol : float
Tolerance.
Returns
-------
array
RREF of A.
Notes
-----
A matrix is in reduced row-echelon form after Gauss-Jordan elimination, the
result is independent of the method/algorithm used.
Examples
--------
>>> A = [[1, 0, 1, 3], [2, 3, 4, 7], [-1, -3, -3, -4]]
>>> n = rref(A, algo='sympy')
>>> array(n)
[[1.0 0 1.0 3.0]
[0 1.0 0.667 0.333]
[0 0 0 0]]
"""
import sympy
A = atleast_2d(asarray(A, dtype=float))
return sympy.Matrix(A).rref()[0].tolist()
[docs]def rref_matlab(A, ifile, ofile, tol=None):
r"""Reduced row-echelon form of matrix A.
Parameters
----------
A : array-like
Matrix A represented as an array or list.
tol : float
Tolerance.
Returns
-------
array
RREF of A.
Notes
-----
A matrix is in reduced row-echelon form after Gauss-Jordan elimination, the
result is independent of the method/algorithm used.
Examples
--------
>>> A = [[1, 0, 1, 3], [2, 3, 4, 7], [-1, -3, -3, -4]]
>>> n = rref(A, algo='sympy')
>>> array(n)
[[1.0 0 1.0 3.0]
[0 1.0 0.667 0.333]
[0 0 0 0]]
"""
A = atleast_2d(asarray(A, dtype=float))
idict = {'A': A}
savemat(ifile, idict)
matlab = ['matlab']
if compas.is_windows():
options = ['-nosplash', '-wait', '-r']
else:
options = ['-nosplash', '-r']
command = ["load('{0}');[R, jb]=rref(A);save('{1}');exit;".format(ifile, ofile)]
p = Popen(matlab + options + command)
stdout, stderr = p.communicate()
odict = loadmat(ofile)
return odict['R']
# ==============================================================================
# Factorisation
# ==============================================================================
class Memoized:
""""""
def __init__(self, f):
self.f = f
self.memo = {}
def __call__(self, *args):
key = args[-1]
if key in self.memo:
return self.memo[key]
self.memo[key] = res = self.f(args[0])
return res
def memoize(f):
memo = {}
@wraps(f)
def wrapper(*args):
key = args[-1]
if key in memo:
return memo[key]
memo[key] = res = f(args[0])
return res
return wrapper
def _chofactor(A):
r"""Returns the Cholesky factorisation/decomposition matrix.
Parameters
----------
A : array
Matrix A represented as an (m x m) array.
Returns
-------
array
Matrix (m x m) with upper/lower triangle containing Cholesky factor of A.
Notes
-----
The Cholesky factorisation decomposes a Hermitian positive-definite matrix
into the product of a lower/upper triangular matrix and its transpose.
.. math::
\mathbf{A} = \mathbf{L} \mathbf{L}^{\mathrm{T}}
Examples
--------
>>> _chofactor(array([[25, 15, -5], [15, 18, 0], [-5, 0, 11]]))
(array([[ 5., 3., -1.],
[ 15., 3., 1.],
[ -5., 0., 3.]]), False)
"""
return cho_factor(A)
def _lufactorized(A):
r"""Return a function for solving a sparse linear system (LU decomposition).
Parameters
----------
A : array
Matrix A represented as an (m x n) array.
Returns
-------
callable
Function to solve linear system with input matrix (n x 1).
Notes
-----
LU decomposition factors a matrix as the product of a lower triangular and
an upper triangular matrix L and U.
.. math::
\mathbf{A} = \mathbf{L} \mathbf{U}
Examples
--------
>>> fn = _lufactorized(array([[3, 2, -1], [2, -2, 4], [-1, 0.5, -1]]))
>>> fn(array([1, -2, 0]))
array([ 1., -2., -2.])
"""
return factorized(A)
chofactor = memoize(_chofactor)
lufactorized = memoize(_lufactorized)
# ------------------------------------------------------------------------------
# Geometry
# ------------------------------------------------------------------------------
[docs]def uvw_lengths(C, X):
r"""Calculates the lengths and co-ordinate differences.
Parameters
----------
C : sparse
Connectivity matrix (m x n).
X : array
Co-ordinates of vertices/points (n x 3).
Returns
-------
array
Vectors of co-ordinate differences in x, y and z (m x 3).
array
Lengths of members (m x 1).
Examples
--------
>>> C = connectivity_matrix([[0, 1], [1, 2]], 'csr')
>>> X = array([[0, 0, 0], [1, 1, 0], [0, 0, 1]])
>>> uvw
array([[ 1, 1, 0],
[-1, -1, 1]])
>>> l
array([[ 1.41421356],
[ 1.73205081]])
"""
uvw = C.dot(X)
return uvw, normrow(uvw)
[docs]def normrow(A):
"""Calculates the 2-norm of each row of matrix A.
Parameters
----------
A : array
Matrix A represented as an (m x n) array.
Returns
-------
array
Column vector (m x 1) of values.
Notes
-----
The calculation is the Euclidean 2-norm, i.e. the square root of the sum
of the squares of the elements in each row, this equates to the "length" of
the m row vectors.
Examples
--------
>>> normrow(array([[2, -1, 3,], [1, 0, 1], [0, 2, -1]]))
[[ 3.74165739]
[ 1.41421356]
[ 2.23606798]]
"""
A = atleast_2d(asarray(A, dtype=float))
return (sum(A ** 2, axis=1) ** 0.5).reshape((-1, 1))
[docs]def normalizerow(A, do_nan_to_num=True):
"""Normalise the rows of matrix A.
Parameters
----------
A : array
Matrix A represented as an (m x n) array.
do_nan_to_num : bool
Convert NaNs and INF to numbers, default=True.
Returns
-------
array
Matrix of normalized row vectors (m x n).
Notes
-----
Normalises the row vectors of A by the normrows, i.e. creates an array of
vectors where the row vectors have length of unity.
Tiling is not necessary, because of NumPy's broadcasting behaviour.
Examples
--------
>>> normalizerow(array([[2, -1, 3,], [1, 0, 1], [0, 2, -1]]))
array([[ 0.53452248, -0.26726124, 0.80178373],
[ 0.70710678, 0. , 0.70710678],
[ 0. , 0.89442719, -0.4472136 ]])
"""
if do_nan_to_num:
return nan_to_num(A / normrow(A))
else:
return A / normrow(A)
[docs]def rot90(vectors, axes):
"""Rotate an array of vectors through 90 degrees around an array of axes.
Parameters
----------
vectors : array
An array of row vectors (m x 3).
axes : array
An array of axes (m x 3).
Returns
-------
array
Matrix of row vectors (m x 3).
Notes
-----
Computes the cross product of each row vector with its corresponding axis,
and then rescales the resulting normal vectors to match the length of the
original row vectors.
Examples
--------
>>> vectors = array([[2, 1, 3], [2, 6, 8]])
>>> axes = array([[7, 0, 1], [4, 4, 2]])
>>> rot90(vectors, axes)
[[-0.18456235 -3.50668461 1.29193644]
[ 5.3748385 -7.5247739 4.2998708 ]]
"""
return normalizerow(cross(axes, vectors)) * normrow(vectors)
# ==============================================================================
# Solving
# ==============================================================================
[docs]def solve_with_known(A, b, x, known):
r"""Solve a system of linear equations with part of solution known.
Parameters
----------
A : array
Coefficient matrix represented as an (m x n) array.
b : array
Right-hand-side represented as an (m x 1) array.
x : array
Unknowns/knowns represented as an (n x 1) array.
known : list
The indices of the known elements of ``x``.
Returns
-------
array: (n x 1) vector solution.
Notes
-----
Computes the solution of the system of linear equations.
.. math::
\mathbf{A} \mathbf{x} = \mathbf{b}
Examples
--------
>>> A = array([[2, 1, 3], [2, 6, 8], [6, 8, 18]])
>>> b = array([[1], [3], [5]])
>>> x = array([[0.3], [0], [0]])
>>> solve_with_known(A, b, x, [0])
array([ 0.3, 0.4, 0.0])
"""
eps = 1 / sys.float_info.epsilon
unknown = list(set(range(x.shape[0])) - set(known))
A11 = A[unknown, :][:, unknown]
A12 = A[unknown, :][:, known]
b = b[unknown] - A12.dot(x[known])
if cond(A11) < eps:
Y = cho_solve(cho_factor(A11), b)
x[unknown] = Y
return x
Y = lstsq(A11, b)
x[unknown] = Y[0]
return x
[docs]def spsolve_with_known(A, b, x, known):
r"""Solve (sparse) a system of linear equations with part of solution known.
Parameters
----------
A : array
Coefficient matrix (sparse) represented as an (m x n) array.
b : array
Right-hand-side represented as an (m x 1) array.
x : array
Unknowns/knowns represented as an (n x 1) array.
known : list
The indices of the known elements of ``x``.
Returns
-------
array
(n x 1) vector solution.
Notes
-----
Computes the solution (using spsolve) of the system of linear equations.
.. math::
\mathbf{A} \mathbf{x} = \mathbf{b}
Same function as solve_with_known, but for sparse matrix A.
Examples
--------
>>> A = array([[2, 1, 3], [2, 6, 8], [6, 8, 18]])
>>> b = array([[1], [3], [5]])
>>> x = array([[0.3], [0], [0]])
>>> solve_with_known(A, b, x, [0])
array([ 0.3, 0.4, 0.0])
"""
unknown = list(set(range(x.shape[0])) - set(known))
A11 = A[unknown, :][:, unknown]
A12 = A[unknown, :][:, known]
b = b[unknown] - A12.dot(x[known])
x[unknown] = spsolve(A11, b)
return x
# ==============================================================================
# Main
# ==============================================================================
if __name__ == '__main__':
import numpy as np
np.set_printoptions(precision=3, threshold=10000, linewidth=1000)
E = array([[2, 3, 5], [-4, 2, 3]], dtype=float)
null = nullspace(E)
assert np.allclose(zeros((E.shape[0], 1)), E.dot(null), atol=1e-6), 'E.dot(null) not aproximately zero'
m, n = E.shape
s, t = null.shape
print(m, n)
print(s, t)
assert n == s, 'num_cols of E should be equal to num_rows of null(E)'
print(rank(E))
print(dof(E))
print(len(pivots(rref(E))))
print(len(nonpivots(rref(E))))
# ifile = './data/ifile.mat'
# ofile = './data/ofile.mat'
# with open(ifile, 'wb+') as fp: pass
# with open(ofile, 'wb+') as fp: pass
# print nonpivots(rref(E, algo='qr'))
# print nonpivots(rref(E, algo='sympy'))
# print nonpivots(rref(E, algo='matlab', ifile=ifile, ofile=ofile))


$def with (mode, set_point, duty_cycle, cycle_time, k_param, i_param, d_param)
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Source: libdemo Section: unknown Priority: extra Maintainer: Foo Bar<EMAIL_ADDRESS>Build-Depends: debhelper (>=9) Standards-Version: 3.9.8 Homepage: https://libdemo.example.org Package: libdemo Architecture: any Multi-Arch: foreign Depends: ${misc:Depends}, ${shlibs:Depends} Description: Demonstration library This library serves only the purpose of demonstration


https://docs.python.org/3/tutorial/classes.html
https://docs.python.org/3/library/functions.html#iter
https://docs.python.org/3/library/stdtypes.html#typeiter
Three notions:
(1) an iterable is anything that you can iterate over
[iter() can build an iterator],
(2) an iterator is the thing that does the actual iterating
[__iter__() and __next__() methods should be present],
(3) generators are one of the simpler ways to create your own iterators
['lazy evaluation'; generator expressions and generator functions].
for item in iterable: # iteration print(item) L = list(iterable) result = sum(iterable) high = max(iterable) low = min(iterable)
# Builtin function. reversed(sequence) # reversed object
# Generator expression. sequence = "word" gen = (sequence[i] for i in range(len(sequence)-1,-1,-1)) # generator object
# Generator function. def Reverse(sequence): # a generator iterator is returned """A reverse iterator based on a sequence.""" idx = len(sequence) while idx > 0: idx = idx-1 yield sequence[idx]
# The other version based on a class. class Reverse: # an instance of this class is an iterator """A reverse iterator based on a sequence.""" def __init__(self, sequence): self.sequence = sequence self.idx = len(sequence) def __iter__(self): # for the iter() function return self def __next__(self): # for the next() function if self.idx == 0: raise StopIteration self.idx -= 1 return self.sequence[self.idx] next = __next__ # compatibility # Python 2 has X.next(). # Python 3 has X.__next__(). # Python 3 i 2.6+ have a builtin function next(X).
# Usage (for both versions). for char in Reverse("spam"): print(char) # m, a, p, s for item in Reverse([1, 2, 3, 4]): print(item) # 4, 3, 2, 1
# iter(iterable) return iterator # iter(callable, sentinel) return iterator # an iterator based on a sequence it1 = iter([1, 2]) # list_iterator object in Py3 (lists have __iter__) it2 = iter("abcd") # str_iterator object in Py3 (strings have __iter__) it3 = iter(it2) # all iterators are also iterables assert it3 is it2 # Once you have an iterator, the only thing you can do with it is get # its next item. And you’ll get a stop iteration exception if you ask # for the next item but there aren’t anymore items. print(next(it1)) # 1 print(next(it1)) # 2 print(next(it1)) # StopIteration
class Dumb: def __init__(self, sequence): self.data = sequence def __getitem__(self, n): return self.data[n] x = Dumb("word") print(x[1]) # o #print(x[10]) # IndexError: string index out of range #len(x) # AttributeError: Dumb instance has no attribute '__len__' for item in x: # iteration print(item) # manual iteration y = iter(x) # make an iterator, iter() use the sequence protocol (__getitem__) print(next(y)) # w print(next(y)) # o print(next(y)) # r print(next(y)) # d print(next(y)) # StopIteration, the iterator is exhausted
# Chunking list by two using an iterator. it = iter(range(6)) list(zip(it, it)) # [(0, 1), (2, 3), (4, 5)]
# https://www.programiz.com/python-programming/iterator for element in iterable: # do something with element process(element) # It is equivalent to the following code. # create an iterator object from that iterable iter_obj = iter(iterable) # infinite loop while True: try: # get the next item element = next(iter_obj) # do something with element process(element) except StopIteration: # if StopIteration is raised, break from loop break
class MyInt: def __init__(self): self.n = -1 def __call__(self): self.n = self.n + 1 return self.n x = MyInt() # x is a MyInt instance, a callable object print(x()) # returns 0 print(x()) # returns 1 print(x()) # returns 2
# Preparing an iterator 'y'. # If the callable returns 5 then y stops. y = iter(MyInt(), 5) # y is a callable-iterator object for i in y: # returns 0, 1, 2, 3, 4 (without 5) print(i) # 5 was used to stop the iterator y. print(next(y)) # StopIteration is raised, y is exhausted
# Infinite iterators. import itertools iter_zeros1 = iter(int, 1) # int() gives 0 iter_zeros2 = iter((lambda: 0), 1) iter_zeros3 = itertools.cycle([0]) # itertools.cycle(sequence) iter_zeros4 = itertools.repeat(0) # itertools.repeat(x, times=5)


How to Use
You don’t need a degree in chemistry or extensive training to know how to use essential oils effectively. With a basic understanding of safety precautions and application methods, it is easy to start using essential oils.
Get Started With Essential Oils
As you get started with essential oils keep these things in mind:
How to Apply Essential Oils
There are three ways to use essential oils:
- Through smell. We call this “aromatic” use of essential oils. This includes any application method that helps you experience the aroma of the oil. You can use essential oils aromatically by:
- Diffusing in an essential oil diffuser
- Applying a drop to your hands and inhaling
- Wearing as a personal fragrance
- For more uses download the Doterra's free eBook Aromatic Use of Essential Oils
- On your skin. “Topical” application of essential oils allows the oil to absorb into the skin. Some ways to use essential oils on your skin are:
- Massage
- Apply to targeted areas and rub in
- Add to lotions or moisturizers
- For more uses download the Doterra's free eBook Topical Use of Essential Oils
- Ingesting, or “internal” use of essential oils allows the oil to be transported throughout your body. Make sure the essential oil is safe for internal use first, and then try one of these methods:
- Add to a glass of water
- Take in a veggie capsule
- Put a drop under your tongue
- For more uses download the Doterra's free eBook Internal Use of Essential Oils
How to Use Essential Oils
How do you use essential oils effectively?  All you really need is a basic understanding of how to apply essential oils safely and simply as part of your daily routine.
If you’re ready to learn more, we can show you how to use essential oils. Once you learn how to use essential oils, you’ll be on your way to a healthier lifestyle.
Download our free eBook, 100 Uses for Essential Oils, and get answers to all your questions about essential oils. Learn everything you need to know in order to naturally transform your life with the power of essential oils.


public interface ReasonerProgressMonitor
reasonerTaskStarted(String)
, then call
either reasonerTaskBusy()
or reasonerTaskProgressChanged(int, int)
any number of times
and finally call reasonerTaskStopped()
when the task ends or has been interupted. This cycle may
then be repeated.| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
CLASSIFYING
A standard name for the task of computing the class hierarchy.
|
static java.lang.String |
CLASSIFYING_AND_REALIZING
A standard name for the task of classifying and realising at the same time.
|
static java.lang.String |
LOADING
A standard name for the task of loading a reasoner with axioms.
|
static java.lang.String |
REALIZING
A standard name for the task of computing the types of individual.
|
| Modifier and Type | Method and Description |
|---|---|
void |
reasonerTaskBusy()
Indicates that the reasoner is busy performing a task whose size cannot be determined.
|
void |
reasonerTaskProgressChanged(int value,
int max)
Indicates that the reasoner is part way through a particular task, for example consistency checking,
classification or reaslisation.
|
void |
reasonerTaskStarted(java.lang.String taskName)
Indicates that some reasoner task, for example, loading, consistency checking, classification, realisation etc.
|
void |
reasonerTaskStopped()
Indicates that a previosly started task has now stopped.
|
static final java.lang.String LOADING
static final java.lang.String CLASSIFYING
static final java.lang.String REALIZING
static final java.lang.String CLASSIFYING_AND_REALIZING
void reasonerTaskStarted(java.lang.String taskName)
reasonerTaskStopped()
method will be called.
Once this method has been called it will not be called again unless the
reasonerTaskStopped()
method has been called. The notion of subtasks is not supported.
Note that this method may be called from a thread that is not the event dispatch thread.taskName
- The name of the taskvoid reasonerTaskStopped()
reasonerTaskStarted(String)
method has been called. The notion of subtasks is not supported.
Note that this method may be called from a thread that is not the event dispatch thread.void reasonerTaskProgressChanged(int value, int max)
reasonerTaskStarted(String)
method has been called. It will not be called after the reasonerTaskStopped()
method has been called.
Note that this method may be called from a thread that is not the event
dispatch thread.value
- The value or portion of the task completedmax
- The total size of the taskvoid reasonerTaskBusy()
reasonerTaskStarted(String)
method has been called. It will not be called after
the reasonerTaskStopped()
method has been called.
Note that this
method may be called from a thread that is not the event dispatch thread.


Phorm
The abstract Phorm class wraps all of the functionality of the form itself. It is extended to created an HTML form. It specifies one abstract method: 'define_fields', which must set an attribute for each field in the form. Fields must be descendents of the PhormField class.
Located in /phorms.php (line 48)
True when the form has user-submitted data.
Private storage for cleaned field values.
A copy of the superglobal data array merged with any default field values provided during class instantiation.
Private storage to collect error messages. Stored as $field_name => $msg.
Private field storage.
The form's method. Determines which superglobal array to use as the data source.
If true, $_FILES is included in the form data. Makes possible file fields.
Memoized return value of the initial is_valid call.
Returns the form fields as a series of list items. Does not include the list's opening and closing tags.
Returns the form fields as a series of HTML table rows. Does not include the table's opening and closing tags, nor the table's tbody tags.
Returns true if any of the field's names exist in the source data (or
in $_FILES if this is a multi-part form.)
Returns an associative array of the imported form data on a bound, valid form. Returns null if the form is not yet bound or if the form is not valid.
Processes each field's data in turn, calling it's get_value method to access its "cleaned" data.
Returns the form's closing HTML tag.
Abstract method that sets the Phorm's fields as class attributes.
Internal method used by the constructor to find all of the fields in the class after the child's 'define_fields' is called. Returns an array of the field instances.
Returns an iterator that returns each field instance in turn.
Returns the list of errors.
Returns true if the form has errors.
Returns true if the form is bound (i.e., there is data in the appropriate
superglobal array.)
Returns true if all fields' data pass validation tests.
Returns the form's opening HTML tag.
Sets the value of each field from the proper superglobal data array.
Returns a string of all of the form's fields' HTML tags as a table.
Documentation generated on Mon, 20 Apr 2009 08:29:25 -0400 by phpDocumentor 1.4.2


public class JenkinsReceiverTest
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private static int |
COMMAND_INDEX |
private static int |
COMMAND_PARAMETER_INDEX |
org.jvnet.hudson.test.JenkinsRule |
jenkins |
private static int |
JOB_PARAMETER_INDEX |
private JenkinsReceiver |
receiver |
private static int |
SCOPE_PARAMETER_INDEX |
| Constructor and Description |
|---|
JenkinsReceiverTest() |
| Modifier and Type | Method and Description |
|---|---|
void |
setUp() |
void |
tearDown() |
void |
testBuild1()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB" where JOB is the name of an existing project not parameterized.
|
void |
testBuild10()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB -p KEY=VALUE" where JOB is the name of an existing parameterized
project and KEY=VALUE is a syntactically wrong parameter.
|
void |
testBuild11()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB -p KEY=VALUE" where JOB is the name of an existing parameterized
project and KEY is a non-defined parameter for the JOB.
|
void |
testBuild12()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB PARAMETERS" where JOB is the name of an existing parameterized
project and PARAMETERS is a list of duplicate parameters at most equal to the
number of parameters defined for the JOB.
|
void |
testBuild13()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB -p KEY=VALUE" where JOB is the name of an existing project
not parameterized and KEY=VALUE is a non-defined parameter for the JOB.
|
void |
testBuild14()
Tests the performance of the build method when the text field value is null.
|
void |
testBuild15()
Tests the performance of the build method when the data object is null.
|
void |
testBuild2()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB -p KEY=VALUE" where JOB is the name of an existing
parameterized project, KEY is the name of a parameter defined for the project
and VALUE is the value of the parameter.
|
void |
testBuild3()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB" where JOB is the name of an existing parameterized project.
|
void |
testBuild4()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB -p KEY=VALUE" where JOB is the name of an existing parameterized
project and KEY=VALUE is only one of many parameters defined for the project.
|
void |
testBuild5()
Tests the performance of the build method when the number of tokens present in
the slash command is less than two (excluding /jenkins).
|
void |
testBuild6()
Tests the performance of the build method when the number of tokens present in
the slash command is greater than one and odd (excluding /jenkins).
|
void |
testBuild7()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB" where JOB is the name of a project that does not exist and.
|
void |
testBuild8()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB PARAMETERS" where JOB is the name of an existing parameterized
project and PARAMETERS is a list of parameters greater than the number of parameters
defined for the JOB.
|
void |
testBuild9()
Tests the performance of the build method when the user types the slash command
"/jenkins build JOB p KEY=VALUE" where JOB is the name of an existing parameterized
project, p is syntactically wrong, KEY is the name of a parameter defined for the
project and VALUE is the value of the parameter.
|
void |
testHelp1()
Tests the performance of the help method when the user types the slash command
"/jenkins help".
|
void |
testHelp2()
Tests the performance of the help method when the user types the slash command
"/jenkins help build".
|
void |
testHelp3()
Tests the performance of the help method when the user types the slash command
"/jenkins help test".
|
void |
testHelp4()
Tests the performance of the help method when the user types the slash command
"/jenkins help list-jobs".
|
void |
testHelp5()
Tests the performance of the help method when the user types the slash command
"/jenkins help help".
|
void |
testHelp6()
Tests the performance of the help method when the user types the slash command
"/jenkins help COMMAND" where COMMAND is the name of a command that does not exist.
|
void |
testHelp7()
Tests the performance of the help method when the number of tokens present in the
slash command is greater than two (excluding /jenkins).
|
void |
testHelp8()
Tests the performance of the help method when the text field value is null.
|
void |
testHelp9()
Tests the performance of the help method when the data object is null.
|
void |
testListJobs1()
Tests the performance of the listJobs method when the user types the slash command
"/jenkins list-jobs" and there are not jobs in Jenkins.
|
void |
testListJobs2()
Tests the performance of the listJobs method when the user types the slash command
"/jenkins list-jobs" and there are jobs in Jenkins.
|
void |
testListJobs3()
Tests the performance of the listJobs method when the number of tokens present in
the slash command is greater than one (excluding /jenkins).
|
void |
testListJobs4()
Tests the performance of the listJobs method when the text field value is null.
|
void |
testListJobs5()
Tests the performance of the listJobs method when the data object is null.
|
void |
testTest1()
Tests the performance of the test method when the user types the slash command
"/jenkins test JOB all" where JOB is the name of an existing maven project
|
void |
testTest10()
Tests the performance of the test method when the response_url field value is null.
|
void |
testTest11()
Tests the performance of the test method when the response_url field value is empty.
|
void |
testTest12()
Tests the performance of the test method when the data object is null.
|
void |
testTest2()
Tests the performance of the test method when the user types the slash command
"/jenkins test JOB class CLASS" where JOB is the name of an existing maven
project and CLASS is a list of classes.
|
void |
testTest3()
Tests the performance of the test method when the number of tokens present in
the slash command is less than three (excluding /jenkins).
|
void |
testTest4()
Tests the performance of the test method when the user types the slash command
"/jenkins test JOB SCOPE" where JOB is the name of a project that does not
exist and SCOPE is the scope of the test.
|
void |
testTest5()
Tests the performance of the test method when the user types the slash command
"/jenkins test JOB SCOPE" where JOB is the name of a project that is not a
maven project and SCOPE is the scope of the test.
|
void |
testTest6()
Tests the performance of the test method when the user types the slash command
"/jenkins test JOB SCOPE" where JOB is the name of an existing maven project
and SCOPE is the scope of the test that does not exist.
|
void |
testTest7()
Tests the performance of the test method when the user types the slash command
"/jenkins test JOB all TOKEN" where JOB is the name of an existing maven project
and TOKEN is an additional parameter that is not accepted by the scope.
|
void |
testTest8()
Tests the performance of the test method when the user types the slash command
"/jenkins test JOB class CLASS TOKEN" where JOB is the name of an existing
maven project, CLASS is a list of classes and TOKEN is an additional parameter
that is not accepted by the scope.
|
void |
testTest9()
Tests the performance of the test method when the text field value is null.
|
private static final int COMMAND_INDEX
private static final int JOB_PARAMETER_INDEX
private static final int COMMAND_PARAMETER_INDEX
private static final int SCOPE_PARAMETER_INDEX
public org.jvnet.hudson.test.JenkinsRule jenkins
private JenkinsReceiver receiver
public void setUp()
public void tearDown()
public void testBuild1()
public void testBuild2()
public void testBuild3()
public void testBuild4()
public void testBuild5()
public void testBuild6()
public void testBuild7()
public void testBuild8()
public void testBuild9()
public void testBuild10()
public void testBuild11()
public void testBuild12()
public void testBuild13()
public void testBuild14()
public void testBuild15()
public void testTest1()
public void testTest2()
public void testTest3()
public void testTest4()
public void testTest5()
public void testTest6()
public void testTest7()
public void testTest8()
public void testTest9()
public void testTest10()
public void testTest11()
public void testTest12()
public void testListJobs1()
public void testListJobs2()
public void testListJobs3()
public void testListJobs4()
public void testListJobs5()
public void testHelp1()
public void testHelp2()
public void testHelp3()
public void testHelp4()
public void testHelp5()
public void testHelp6()
public void testHelp7()
public void testHelp8()
public void testHelp9()


Include animated CSS icon patterns in your background
Append animated icons in the background of any HTMLElement. Just import any iconic font set that you prefer and the library will automatically inject icons with random animations beneath your HTMLElement. You are currently viewing an example in the top section.
 In this example we are using Ionicons.com.
<link href="https://cdnjs.cloudflare.com/ajax/libs/ionicons/2.0.1/css/ionicons.cssfrel="stylesheet" type="text/css" >
Load the css assets in the head section.
<link href="https://unpkg.com/icon-patterns/dist/icon-patterns.min.css" rel="stylesheet" type="text/css">
Load the javascript assets before closing the body tag.
<script src="https://unpkg.com/icon-patterns/dist/icon-patterns.min.js" ></script>
Setup DOM
You can use any selectors to define your target (You can use jQuery if you want).
<div id="target"> We've created Icon Patterns </div>
Configure positions and count
Include the name prefixes as described in the font icon set that you have imported.
new IconPatterns(document.getElementById('target'), {
color: '#FFFFFF',
icons: {
'ion-ios-bell-outline': {
count: 10,
sizeVariation: [10, 25],
},
'ion-ios-cloud-outline': {
count: 15,
sizeVariation: [5, 20],
},
'ion-ios-lightbulb-outline': {
count: 10,
sizeVariation: [5, 35],
},
}
}).draw();


I love SEO and Web Design. That's where my passion lies. When I was working on social media projects, I felt I wasn't as happy when I was working with SEO and Web Design. In life, you must do what you love most, and that's exactly what I'm doing. I hope you understand.


samplot
Filters
Reset All
Sample
# of Samples
[
]
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]
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[
]
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Chromosome
[
]
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SV Overlaps
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]
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Issue 4132: Only show applied styles in Computed side panel
Hello Firebug user!
Steps to reproduce
Open Firebug
Switch to the HTML panel and there to the Computed side panel
Inspect the <div> above containing Hello Firebug user! (#element) ⇒ There should just be CSS styles shown inside the Computed side panel, which were changed by the CSS defined on the page.
Check Show User Agent CSS in the Computed side panel options ⇒ All CSS properties should be shown inside the Computed side panel, also the ones not changed by the CSS defined on the page.
Expected result
The Computed side panel should optionally hide the user agent CSS.


rice-recipe
Chicken Fried Rice
If you feel like the delicious tastes of Chinese food, this recipe will have you enjoying them in what seems like an instant. In the amount of time it takes for takeout to be delivered to your door, our homemade Chicken Fried Rice will be on the table and ready to eat. You’ll love the zing of the Asian chili-garlic sauce, and the freshness of the haricots verts, the red bell peppers, and the diced onion. Toss in some cooked chicken, top with green onions, and some chopped, toasted almonds, and you will have all of the flavors and tastes of take-out, but all of the pleasure and satisfaction of homemade. Enjoy this quick-fix dinner of Chicken Fried Rice today.
Ingredients
- 3 tablespoons vegetable oil, divided
- 4 large eggs, lightly beaten
- 3/4 cup diced onion
- 3/4 cup diced red bell pepper
- 1 pound haricots verts (tiny green beans), trimmed and cut into
- 1 1/2-inch pieces (about 2 cups)
- 2 cups chopped cooked chicken
- 4 cups cooked basmati rice
- 1/3 cup soy sauce
- 2 to 3 tsp. Asian chili-garlic sauce
- Toppings: sliced green onions, chopped toasted almonds
Directions
- Heat 1 Tbsp. oil in a large skillet over medium-high heat 1 minute; add eggs, and cook, gently stirring, 1 to 2 minutes or until softly scrambled. Remove eggs from skillet; chop.
- Heat remaining 2 Tbsp. oil in skillet; add onion, bell pepper, and green beans, and stir-fry 3 to 4 minutes or until vegetables are crisp-tender. Add chicken, and stir-fry 2 minutes. Add rice, soy sauce, and chili-garlic sauce; stir-fry 3 to 4 minutes or until thoroughly heated. Stir in scrambled eggs; sprinkle with desired toppings.


|
Graphitti
A toolkit/software architecture to ease creating high-performance neural network simulators
|
A class that performs stimulus input (implementation Poisson). More...
Go to the source code of this file.
A class that performs stimulus input (implementation Poisson).
//
Definition in file HostSInputPoisson.cpp.


Computer Science Research Institute, Laboratory of Web Advanced Technologies and Knowledge based Systems Universidad Técnica Particular de Loja
In collaboration:
To download the source code visit here and here to view a tutorial and learn how to customize this site.
If you need a hosting to publish your analysis built using our plugin, we offer free Web hosting in j4loxa.com, email us.


--- layout: post title: The 37signals' Getting Real workshop categories: - sightings author: David published: true date: 2005-11-29 21:25:08.000000000 +00:00 ---
On January 27th, 37signals will once again be sharing insights, ideas, passion, opinions, and vision on how to build an online business in The Getting Real Workshop. We’ll be talking about the whole lifecycle including lots of thoughts on software development with or without Rails.
Yours truly and Jamis Buck will both be presenting and we’ve traditionally had a lot of great chats about Rails. So if you’re considering jumping on board or already have, but needs inspiration to take that somewhere, do join us in Chicago in the beginning of next year.
UPDATE: Sold out. All 50 seats where gone in 12 hours. That’s about 14 times as fast as last time.


{% extends "base.html" %} {% load static %} {% block content %} Log In Good to see you back! We can't wait to hear new stories from you.


BN_mod_exp_mont, BN_mod_exp_mont_consttime, BN_mod_exp_mont_consttime_x2 - Montgomery exponentiation
#include <openssl/bn.h>
int BN_mod_exp_mont(BIGNUM *rr, const BIGNUM *a, const BIGNUM *p,
const BIGNUM *m, BN_CTX *ctx, BN_MONT_CTX *in_mont);
int BN_mod_exp_mont_consttime(BIGNUM *rr, const BIGNUM *a, const BIGNUM *p,
const BIGNUM *m, BN_CTX *ctx,
BN_MONT_CTX *in_mont);
int BN_mod_exp_mont_consttime_x2(BIGNUM *rr1, const BIGNUM *a1,
const BIGNUM *p1, const BIGNUM *m1,
BN_MONT_CTX *in_mont1, BIGNUM *rr2,
const BIGNUM *a2, const BIGNUM *p2,
const BIGNUM *m2, BN_MONT_CTX *in_mont2,
BN_CTX *ctx);
BN_mod_exp_mont() computes a to the p-th power modulo m (rr=a^p % m
) using Montgomery multiplication. in_mont is a Montgomery context and can be NULL. In the case in_mont is NULL, it will be initialized within the function, so you can save time on initialization if you provide it in advance.
BN_mod_exp_mont_consttime() computes a to the p-th power modulo m (rr=a^p % m
) using Montgomery multiplication. It is a variant of BN_mod_exp_mont(3) that uses fixed windows and the special precomputation memory layout to limit data-dependency to a minimum to protect secret exponents. It is called automatically when BN_mod_exp_mont(3) is called with parameters a, p, m, any of which have BN_FLG_CONSTTIME flag.
BN_mod_exp_mont_consttime_x2() computes two independent exponentiations a1 to the p1-th power modulo m1 (rr1=a1^p1 % m1
) and a2 to the p2-th power modulo m2 (rr2=a2^p2 % m2
) using Montgomery multiplication. For some fixed and equal modulus sizes m1 and m2 it uses optimizations that allow to speedup two exponentiations. In all other cases the function reduces to two calls of BN_mod_exp_mont_consttime(3).
For all functions 1 is returned for success, 0 on error. The error codes can be obtained by ERR_get_error(3).
ERR_get_error(3), BN_mod_exp_mont(3)
Copyright 2000-2021 The OpenSSL Project Authors. All Rights Reserved.
Licensed under the Apache License 2.0 (the "License"). You may not use this file except in compliance with the License. You can obtain a copy in the file LICENSE in the source distribution or at https://www.openssl.org/source/license.html.


{% extends "site_base.html" %} {# override this template if you want your shop template to be different than your base template #}


ReadMe:
To create a new page, create a file named for example
myfile.txt
(you can format it using markdown syntax) then add the file namemyfile.txt
to the list variableSOURCES
at the top ofMakefile
, then executemake
command.You can learn Markdown formatting with live preview [here].
To edit the sidebar link panel, edit the file
sidebar
. The syntax is the same as Markdown syntax.To edit the header, edit the file named:
template
.To edit the footer links edit the file named:
footbar
.For a page to have table of content add: [TOC] to the top of your source file (the
myfile.txt
text file). TOC will be created for<h2>
(##
in Markdown syntax) and higher headline tags in the source file. For example see [this] as the an html output generated by [this source code].Feel free to email me<EMAIL_ADDRESS>about this template.
The source code of this page is here.


greybax/cyrillic-to-translit-js
Simple javascript function for converting Cyrillic symbols to Translit
Space replacement
Follow @greybax
Star
Fork


Class for scanning and attacking Avtech video surveillance services
More...
|
| Ip_Info | Scan_Sync (string Shodan_Api, string Paese, string Citta, byte Pagina) |
| | Synchronous method for scanning Avtech AVN801 service via shodan More...
|
| |
| Task< Ip_Info > | Scan_Async (string Shodan_Api, string Paese, string Citta, byte Pagina) |
| | Asynchronous method for scanning the Avtech AVN801 service via shodan More...
|
| |
| Attack_Info | Attack_Sync (string[] Vittime, byte Threads) |
| | Synchronous method to initiate the attack, attacks performed: Brute and Bypass More...
|
| |
| Task< Attack_Info > | Attack_Async (string[] Vittime, byte Threads) |
| | Asynchronous method to initiate the attack, attacks performed: Brute and Bypass More...
|
| |
| void | Stop_Attack () |
| | Method to end the attack More...
|
| |
Class for scanning and attacking Avtech video surveillance services
◆ Attack_Async()
| Task<Attack_Info> Avtechlib.Avtech.Attack_Async |
( |
string[] |
Vittime, |
|
|
byte |
Threads |
|
) |
| |
Asynchronous method to initiate the attack, attacks performed: Brute and Bypass
- Parameters
-
| Vittime | IP addresses of the victims |
| Threads | Threads for parallel operations |
- Returns
- Returns the Attack_Info instance with all information of the attack
◆ Attack_Sync()
| Attack_Info Avtechlib.Avtech.Attack_Sync |
( |
string[] |
Vittime, |
|
|
byte |
Threads |
|
) |
| |
Synchronous method to initiate the attack, attacks performed: Brute and Bypass
- Parameters
-
| Vittime | IP addresses of the victims |
| Threads | Threads for parallel operations |
- Returns
- Returns the Attack_Info instance with all information of the attack
◆ Scan_Async()
| Task<Ip_Info> Avtechlib.Avtech.Scan_Async |
( |
string |
Shodan_Api, |
|
|
string |
Paese, |
|
|
string |
Citta, |
|
|
byte |
Pagina |
|
) |
| |
Asynchronous method for scanning the Avtech AVN801 service via shodan
- Parameters
-
| Shodan_Api | Shodan api |
| Paese | Target country E.g: IT |
| Citta | City of the target country E.g: Naples |
| Pagina | Shodan page to view 1 page = max 100 results = 1 credit |
- Returns
- Returns the Ip_Info instance with all information about the scan
◆ Scan_Sync()
| Ip_Info Avtechlib.Avtech.Scan_Sync |
( |
string |
Shodan_Api, |
|
|
string |
Paese, |
|
|
string |
Citta, |
|
|
byte |
Pagina |
|
) |
| |
Synchronous method for scanning Avtech AVN801 service via shodan
- Parameters
-
| Shodan_Api | Shodan api |
| Paese | Target country E.g: IT |
| Citta | City of the target country E.g: Naples |
| Pagina | Shodan page to view 1 page = max 100 results = 1 credit |
- Returns
- Returns the Ip_Info instance with all information about the scan
◆ Stop_Attack()
| void Avtechlib.Avtech.Stop_Attack |
( |
| ) |
|
◆ Attack_Terminato
| EventHandler<Attack_Info> Avtechlib.Avtech.Attack_Terminato |
Event that warns when the attack has ended by returning an Attack_Info instance
◆ Info_Tested
| EventHandler<Test_Info> Avtechlib.Avtech.Info_Tested |
Event that warns how many IPs have been tested
◆ Scan_Terminato
| EventHandler<Ip_Info> Avtechlib.Avtech.Scan_Terminato |
Event that warns when the scan has finished returning an Ip_Info instance
The documentation for this class was generated from the following file:


Gateway
BOT
20-Sep-18 06:45 PM
[dscrdeql] <dolladollaiv> Very smart. Jonathan Marvel might be a good contact to get your foot in the door if he's available
[dscrdeql] <NWhiskeyTango> *she
[dscrdeql] <CowboyCrypto- Founder> who? and what?
[dscrdeql] <CowboyCrypto- Founder> I missed it
[dscrdeql] <CowboyCrypto- Founder> who's jonathan marvel
[dscrdeql] <dolladollaiv> He's an architect in the bronx, born in pr, he is trying to bring power to PR
[dscrdeql] <NWhiskeyTango> Diana is a *SHE hehe
[dscrdeql] <c2k> im emailing diana. got her email from curbed
[dscrdeql] <dolladollaiv> Also, Miguel Del Rio
[dscrdeql] <NWhiskeyTango> Noice
[dscrdeql] <dolladollaiv> he's trying to redesign roofs there
[dscrdeql] <NWhiskeyTango> Roofing is easy. Cement tiles that overlay with a cable tie-down system that locks the roof joices in, through the walls, and snchors to the foundation. 200mph winds sustained easily...boom...where's my
[dscrdeql] <c2k> do you have contact emails or something like that @dolladollaiv . maybe the team canfigure out a way to approach these peopole
[dscrdeql] <dolladollaiv> nah, but i can find them
[dscrdeql] <c2k> cant hurt. the more exposure and relevant contacts the better
[dscrdeql] <CowboyCrypto- Founder> Im building the first one with a metal roof as it is inexpensive and can be done by a team of 2 people.
[dscrdeql] <CowboyCrypto- Founder> domes wont need roofs
[dscrdeql] <CowboyCrypto- Founder>
[dscrdeql] <dolladollaiv> Here's Del Rio's company website. cant access at work..www.delrioarquitectos.com
[dscrdeql] <Zach> With the recent flooding on the east coast with hurricane Florence there were people that tried to “get to higher ground” by going in their attic and then had to be cut out when the water got too high. Domes would make that hard right?
[dscrdeql] <NWhiskeyTango> Install a hatch. Not really
[dscrdeql] <NWhiskeyTango> Installing a hatch in a typical roof would be like "like what are the chances i ever have to use that?"...in a dome it would seal better imo
[dscrdeql] <dolladollaiv> "More than half of Puerto Ricans don't have title to their properties." Damn. cant even get fema assistance without proof of ownership
[dscrdeql] <Zach> Hard to get a title when you don’t have permits for a building that you threw together
[dscrdeql] <dolladollaiv> Yupp. "The government admits it takes about four years for the average person to get the permits they need. They usually bypass this, construct their homes, and say sorry and then get the permits."
[dscrdeql] <CowboyCrypto- Founder> they are air tight if you do it right
[dscrdeql] <CowboyCrypto- Founder> esp monolithic
[dscrdeql] <Zach> But if the water level got too high and someone was inside there is no way to cut them out right?
[dscrdeql] <CowboyCrypto- Founder> yeah it has windows and usually a skylight.
[dscrdeql] <CowboyCrypto- Founder> where a hatch could be placed.
[dscrdeql] <NWhiskeyTango> There is always a way. Think...
[dscrdeql] <CowboyCrypto- Founder> but here's the thing, and honestly it will have to be tested extensively before i ever attempt it publicly, but aircrete floats.
[dscrdeql] <CowboyCrypto- Founder> if you had a continuous pour form that included subflooring you could essentially attach an anchor line below much like a dock has.
[dscrdeql] <CowboyCrypto- Founder> where you can let line out as water rises and tighten it as it receeds
[dscrdeql] <NWhiskeyTango> #trivia
[dscrdeql] <Zach> That sounds tricky, awesome but tricky.
[dscrdeql] <Zach> Gonna get seasick in your own house though haha
[dscrdeql] <CowboyCrypto- Founder> seastedding is nothing new
[dscrdeql] <CowboyCrypto- Founder> nothing we are doing is new really except the 3d printing end of things when we get there.
[dscrdeql] <CowboyCrypto- Founder> we are merely using ideas that people often overlook.
[dscrdeql] <Zach> Well I look forward to owning a 2500 sq ft monolithic dome on a lake
[dscrdeql] <CowboyCrypto- Founder> which lake thats the question
[dscrdeql] <Zach> Haven’t decided yet, a lake house up in the mountains, or at least hills, has always been my forever home plan
[dscrdeql] <Jellysmash> nice to have a plan @Zach
[dscrdeql] <Jellysmash> good to have choices as well
[dscrdeql] <Jellysmash> morningn all
[dscrdeql] <c2k> morning jells
[dscrdeql] <CowboyCrypto- Founder> My goal is to have a few communities set up across the globe
[dscrdeql] <CowboyCrypto- Founder> and I will have a house in each one of them lol
[dscrdeql] <c2k> dont forget the resorts cowboy
[dscrdeql] <Jellysmash> good to get onto Peer2Group
[dscrdeql] <Jellysmash> that was good voting by everyone
[dscrdeql] <CowboyCrypto- Founder> Resorts are kind of my wheelhouse lol
[dscrdeql] <Jellysmash> what do you mean by 'wheelhouse'?
[dscrdeql] <CowboyCrypto- Founder> Seriously good! I am so happy that we are getting added
[dscrdeql] <CowboyCrypto- Founder> it means that it is something I am very good at.
[dscrdeql] <dolladollaiv> You having knowledge of timeshares should pour over into this space pretty well
[dscrdeql] <CowboyCrypto- Founder> I have over 15 years in the resort game, I was a national trainer for timeshare sales.
[dscrdeql] <CowboyCrypto- Founder> I started doing that when i was 16 years old.
[dscrdeql] <CowboyCrypto- Founder> I was a top sales rep at Wyndham, Bluegreen, and Grand Crowne. Then went to marketing because I started hating sales. Made marketing director by 23
[dscrdeql] <CowboyCrypto- Founder> yeah I would never really go back to that, because I hated it even though the money was great.
[dscrdeql] <CowboyCrypto- Founder> my life fell apart when I was around 26, was homeless for a while. worked my way back and most importantly never missed a visit with my kids ever. Im proud of that part lol
[dscrdeql] <c2k> family is #1
[dscrdeql] <Jellysmash> yea, family is the most imporotant thing
[dscrdeql] <CowboyCrypto- Founder> always. even in the worst of my life I never lost that sight. I see alot who do around me daily.


Zuri training is an organisation aimed at tech enthusiast, be it a complete novice or a veteran seeking additional knowledge to hone their skills. It includes basic introduction to software development and design. Every week, a course content is given with an opportunity... Read More
The program is a 4-month long program aimed at getting you started in the industry. We understand it is impossible to become an expert at anything in just 4 months. However, we promise to give you everything you need to get started.
Here are the list of Programs that will be explored in the program.
This track deals with the aspect of your application that the users interact with. A front-end developer will be able to correctly interpret a given design to the user interface.
This track deals with the aspect of the application the user does not directly interact with. It allows the frontend function either by running some back-end code or connecting to the database.
This track deals with creating a grapic plan for an application. You will learn to convert project documentation into viewable and understandable graphic design for the developers to work with.
The mobile track contains a list of tools and languages needed for a developer to create mobile applications. A mobile application can be IOS or Android.
The cloud track is an extension of the backend track. It involves cloud tools that’ll allow the participant to develop in the cloud using AWS or Azure cloud services
During the program we will be exploring several useful frameworks to give you an edge in the industry and help you develop complex applications much faster
To become a part of Zuri training, fill the registration form
Note: This workspace requires you to register with the same email address and username as you have on the slack workspace


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Guidance
Information for institutions who are required to make a EFA final funding claim return for academic year 2016 to 2017.
All Education Funding Agency ( EFA ) final funding claim returns should be run from your final Individualised Learner Record ( ILR ) R14 submission for 2016 to 2017.
The ILR R14 data return period will close on Thursday 19 October. This is the final data return for this funding year.
The EFA final funding claim return for 2016 to 2017 includes the required declaration on the final page of the Funding Implementation Service ( FIS ) EFA funding claim report. Institutions that make ILR returns should use the document exchange to return a PDF copy of the completed signed report.
The requirement to return a signed final claim report to the EFA is set out in EFA Funding guidance for young people 2016 to 2017 ILR Funding returns . Annex A explains the purpose of the signed declaration by the head of the institution.
The EFA final claim report can be run from either the institutions ILR data using FIS or is available as a report from the Hub. The report must be run from your final ILR submission and must submit the same data to the data collections facility in the Hub.
Please submit your ILR R14 data return by 19 October 2017 so as to allow enough time to fully cleanse your data using the validation reports generated by the system.
The report must be produced from FIS or Hub as a PDF type report and not as an Excel report.
Once the FIS or Hub EFA final claim report for 2016 to 2017 has been produced the document should be presented to the head of the institution to sign the required declaration on the final page of the report.
The report should be scanned electronically and returned to EFA . We only require the scanned electronic copy. The original hard copy of the report with the original signature must be kept by the institution as a financial record for the year and retained in accordance with the advice in ILR Funding returns paragraph 16 and in Funding regulations paragraph 141. The original document must not be posted to EFA .
The scanned PDF version of the signed report should be sent to the EFA through the Information Exchange in October.
Please note when you load the file on Information Exchange, the system will automatically change the file name to a compliant EFA system file name.
The report should be saved in the Information Exchange folder headed “Revenue Funding”, sub folder “AY 2016-17”. When uploading your signed report please select ‘Funding Claim (RF)’ as the document purpose. No other FIS reports or any other documentation should be returned with the final claim report. It is particularly important to fully comply with the Data Protection Act requirements over personal data and not include any reports that include individual student details. The required summary EFA funding claim report does not include any such details.
If you have any problems using the EFA Information Exchange, there is guidance available to help you.
All requests for clarification over the final claim return itself should be made to the institutions usual territory contact.
The EFA will issue allocation information for 2016 to 2017 and ILR R13 funding out-turn information to all known college financial audit firms in a workbook form for all their known clients. This will be followed up with final figures based on ILR R14 returns in early November to assist the firms in signing off college accounts. The individual institution statements cannot be produced until all final returns are received and processed.
As set out in ILR funding returns document in paragraph 14 the EFA will issue final reconciliation statements to all ILR funded institutions through their Information Exchange account.
Contract institutions subject to reconciliation final statements will be issued in November and Grant-in-aid institutions will be issued in December 2017. The statements will be found in due course in the following folder location: Revenue Funding > AY 2016-17. Support and further information about the EFA information Exchange is available.
Published: 12 August 2016
From: Education Funding Agency
Part of: Further education and training


{%extends "base.html"%} {%block title%}Home{% endblock %} {%block body%}
While there are many other flask templates out there, far too many are either structured poorly or are tied down to a specific method of deployment, or both.
So Flask Foundation has a best practices setup with blueprints and SQLAlchemy models that will allow you to grow cleanly


8 HEADS IN A DUFFEL BAG A film review by Perry Mercer Copyright 1997 Perry Mercer
EIGHT HEADS IN A DUFFEL BAG *1/2 starring: Joe Pesci, Andy Comeau, Kristy Swanson, David Spade, George Hamilton, Dyan Cannon directed by: Tom Schulman
If the filmmakers thought that the film's title "EIGHT HEADS IN A DUFFLE BAG" was a catchy and cute one, then give them points for being distinctive. However, if you want to reward them for the premise and value of this same movie, give them 3-D points: distasteful, decadent, and dumb. Instead of calling this awful film EIGHT HEADS IN A DUFFLE BAG, how about renaming it appropriately "EIGHT BRAINLESS HEADS WHO WROTE A MOVIE SCRIPT THAT NEEDS TO BE BURIED IN A BARF BAG". This newest offbeat flick tries its best to be dark and comedic but ends up daub and corruptibly contrived. Just as one would expect to see sunshine when the sun rises, Joe Pesci yet again plays his redundant role as a feisty New York mob hitman out to deliver a bag of "cut up craniums" of former wiseguys to Los Angeles. When the hacked-up-hitmen-heads are taken by mistake from an unknowing medical student (newcomer Andy Comeau), Pesci's frustrated hitman character Tommy Spinelli must follow him to Mexico and retrieve that decomposed duffle bag. Of course we follow our peculiar protagonists to Mexico where our poor med student Charlie must meet and greet the parents of his girlfriend Laurie (Kristy Swanson). As if the movie characters and situations are not preposterous enough, Kristy's mother is an alcoholic who jumps off the wagon after inadvertently seeing the heads in Charlie's duffle bag. And her father (George Hamilton) is an overbearing baffoon. And how convenient that the film ships all this farce-driven excitement to Mexico where we can see yet another barrage of Mexican stereotypes amongst the zaniness of these American airheads. EIGHT HEADS IN A DUFFLE BAG wants to be exceedingly irreverent and naughty with its forced taboo comedy of hitmen, high jinx, and haplessness. Unfortunately, all this film does is to remind us how irascible one can get watching all this moronic mayhem. Writer-director Tom Schulman has done amusing work before with funny material such as his previous film "WHAT ABOUT BOB?". However, in EIGHT HEADS IN A DUFFLE BAG, he overdoes his outrageousness in this film with lame and insipid results. "HEADS" is Schulman's directing debut I must point out. Let's hope that Schulman has better luck in the future trying to overcome this atrocity. If you're going to do a dark comedy about body parts and kooky characters, make sure your premise is fresh and unpredictable. Having Pesci do his "gangster" goon bit for the umteenth time in the movies not to mention featuring that smug-looking, smartalecky David Spade with his Saturday Night Live sarcasm routine does not instill any confidence in a film that's supposed to be unsuspecting and viciously vibrant. All the ones responsible for this mockery of a movie need to bury their heads in the sand, never mind in a duffle bag!
Frank rates this film: * 1/2 stars -- E-mail<EMAIL_ADDRESS>Website with more review: http://www.vgt.com/atmovies.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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In other words, invoking Deadwood as Deadwood will cause Deadwood to use /etc/dwood3rc as the configuration file; invoking Deadwood as Deadwood -f foobar will cause Deadwood to use the file "foobar" in the current working directory (the directory one is in when starting Deadwood) as the configuration file.
In particular, leading whitespace is allowed in Deadwood configuration files.
filter_rfc1918 = 0If a numeric parameter is surrounded by quotes, the error message "Unknown dwood3rc string parameter" will appear.
bind_address = "<IP_ADDRESS>"
upstream_servers = {} upstream_servers["."]="<IP_ADDRESS>, <IP_ADDRESS>"
This file is read and written as the user Deadwood runs as.
The reason for this is to provide a "dnswall" that protects users for some kinds of attacks, as described at http://crypto.stanford.edu/dns/
Please note that Deadwood only provides IPv4 "dnswall" functionality and does not help protect against IPv6 answers. If protection against certain IPv6 AAAA records is needed, either disable all AAAA answers by setting reject_aaaa to have a value of 1, or use an external program to filter undesired IPv4 answers (such as the dnswall program).
The default value for this is 1
When this is set to 1, Deadwood sends a SERVER FAIL back to the client when a UDP query is sent upstream and the upstream DNS never sends a reply.
The default value for this is 1
ip4 = {} ip4["maradns.foo."] = "<IP_ADDRESS>" ip4["kabah.foo."] = "<IP_ADDRESS>"Note that a given name can only resolve to a single IP, and that the records have a fixed TTL of 30 seconds.
It is also possible to use ip4 to set up a blocklist by using "X" for the IP. When this is done, an IPv4 request for a given hostname results in a synthetic "this name does not exist" response. In addition, the corresponding IPv6 request will also return that "name does not exist" reply. For example:
ip4 = {} ip4["evil.example.com."] = "X"Here, both the IPv4 and the IPv6 query for "evil.example.com" will not resolve in Deadwood.
ip6 = {} ip6["maradns.foo."] = "20010db84d617261444e530000001234" ip6["kabah.foo."] = "2001-0DB8-4D61-7261 444E-5300-__00-2345"
This parameter only accepts individual IPs, and does not use netmasks.
Note that this parameter used to be called ip_blacklist; while the ip_blacklist name still works as before, ip_blocklist is the current name.
Resource record rotation is usually desirable, since it allows DNS to act like a crude load balancer. However, on heavily loaded systems it may be desirable to disable it to reduce CPU usage.
The reason for the unusual name for this variable is to retain compatibility with MaraDNS mararc files.
The default value is 1: Resource record rotation enabled.
If, while processing a query for, say, "example.com.", another DNS client sends to Deadwood another query for example.com, instead of creating a new query to process example.com, Deadwood will attach the new client to the same query that is already "in flight", and send a reply to both clients once we have an answer for example.com.
This is the number of simultaneous clients a given query can have. If this limit is exceeded, subsequents clients with the same query are refused until an answer is found. If this has a value of 1, we do not merge multiple requests for the same query, but give each request its own connection.
The default value is 8.
This is the longest we will keep an entry cached. The default value for this parameter is 86400 (one day); the minimum value is 300 (5 minutes) and the maximum value this can have is 7776000 (90 days).
The reason why this parameter is here is to protect Deadwood from attacks which exploit there being stale data in the cache, such as the "Ghost Domain Names" attack.
The amount of memory each cache entry uses is variable depending on the operating system used and the size of memory allocation pages assigned. In Windows XP, for example, each entry uses approximately four kilobytes of memory and Deadwood has an overhead of approximately 512 kilobytes. So, if there are 512 cache elements, Deadwood uses approximately 2.5 megabytes of memory, and if there are 1024 cache elements, Deadwood uses approximately 4.5 megabytes of memory. Again, these numbers are for Windows XP and other operating systems will have different memory allocation numbers.
Please note that, as of Deadwood 3.5.0004, is is no longer needed to increase maximum_cache_elements to store upstream_server and root_server entries.
The reason why this exists is because, often times in DNS, we get a reply like “The name server for this foo.example.com and no I do not have the IP for foo.example.com” when recursively solving an answer. So, the question is this: Is foo.example.com an IPv4 DNS server, an IPv6 server, or both?
On today’s internet (mid-2020, during the COVID-19 crisis), the answer is that the name server in question is only on the IPv4 Internet. IPv6 is now mainstream (e.g. my ISP gives me a /64 and I no longer have to tunnel through he.net to try out IPv6), but most servers are still IPv4 only (e.g. my domains are only on IPv4, and amazon.com does not have an IPv6 address).
The reason this parameter exists is because, when I was writing the recursive code for Deadwood, I was thinking of a future where IPv6 is prevalent enough that we would have DNS servers with only IPv6 addresses, and glueless NS referrals (the “foo.example.com” case above) would point to servers with IPv6, but not IPv4, addresses.
That day may yet come, but preparing Deadwood to still be a viable DNS server when that day comes will require more than changing the RR type sent when it gets a glueless NS referral.
Note that the hash compression function obtains some of its entropy before parsing the mararc file, and is hard-coded to get entropy from /dev/urandom (secret.txt on Windows systems). Most other entropy used by Deadwood comes from the file pointed to by random_seed_file.
This is useful for people who aren't using IPv6 but use applications (usually *NIX command like applications like "telnet") which slow things down trying to find an IPv6 address.
This has a default value of 0. In other words, AAAA queries are processed normally unless this is set.
Most likely, if a machine is trying to make a MX query, the machine is being controlled by a remote source to send out undesired "spam" email. This in mind, Deadwood will not allow MX queries to be made unless reject_mx is explicitly set with a value of 0.
Before disabling this, please keep in mind that Deadwood is optimized to be used for web surfing, not as a DNS server for a mail hub. In particular, the IPs for MX records are removed from Deadwood's replies and Deadwood needs to perform additional DNS queries to get the IPs corresponding to MX records, and Deadwood's testing is more geared for web surfing (almost 100% A record lookup) and not for mail delivery (extensive MX record lookup).
This is useful for people who are getting slow DNS timeouts when trying to perform a reverse DNS lookups on IPs.
This has a default value of 0. In other words, PTR queries are processed normally unless this is set.
Please note that, as of Deadwood 3.5.0004, is is no longer needed to increase maximum_cache_elements to store root_server entries.
If this has a value of 1, TTL entries are aged. Otherwise, they are not. The default value for this is 1.
Deadwood will look at the name of the host that it is trying to find the upstream server for, and will match against the longest suffix it can find.
For example, if someone sends a query for "www.foo.example.com" to Deadwood, Deadwood will first see if there is an upstream_servers variable for "www.foo.example.com.", then look for "foo.example.com.", then look for "example.com.", then "com.", and finally ".".
Here is an example of upstream_servers:
upstream_servers = {} # Initialize dictionary variable upstream_servers["foo.example.com."] = "<IP_ADDRESS>" upstream_servers["example.com."] = "<IP_ADDRESS>" upstream_servers["."] = "<IP_ADDRESS>, <IP_ADDRESS>"In this example, anything ending in "foo.example.com" is resolved by the DNS server at <IP_ADDRESS>; anything else ending in "example.com" is resolved by <IP_ADDRESS>; and anything not ending in "example.com" is resolved by either <IP_ADDRESS> or <IP_ADDRESS>.
Important: the domain name upstream_servers points to must end in a "." character. This is OK:
upstream_servers["example.com."] = "<IP_ADDRESS>"But this is not OK:
upstream_servers["example.com"] = "<IP_ADDRESS>"The reason for this is because BIND engages in unexpected behavior when a host name doesn't end in a dot, and by forcing a dot at the end of a hostname, Deadwood doesn't have to guess whether the user wants BIND's behavior or the "normal" behavior.
If neither root_servers nor upstream_servers are set, Deadwood sets upstream_servers to use the https://quad9.net servers, as follows:
<IP_ADDRESS> <IP_ADDRESS>
Please note that, as of Deadwood 3.5.0004, is is no longer needed to increase maximum_cache_elements to store upstream_server entries.
The netmask is used to specify a range of IPs. The netmask is a single number between 1 and 32 (128 when IPv6 support is compiled in), which indicates the number of leading "1" bits in the netmask.
<IP_ADDRESS>/24 indicates that any ip from <IP_ADDRESS> to <IP_ADDRESS> will match.
<IP_ADDRESS>/16 indicates that any ip from <IP_ADDRESS> to <IP_ADDRESS> will match.
<IP_ADDRESS>/8 indicates that any ip with "127" as the first octet (number) will match.
The netmask is optional, and, if not present, indicates that only a single IP will match.
Deadwood extracts useful information from UDP DNS packets marked truncated which almost always removes the need to have DNS-over-TCP. However, Deadwood does not cache DNS packets larger than 512 bytes in size that need to be sent using TCP. In addition, DNS-over-TCP packets which are "incomplete" DNS replies (replies which a stub resolver can not use, which can be either a NS referral or an incomplete CNAME reply) are not handled correctly by Deadwood.
Deadwood has support for both DNS-over-UDP and DNS-over-TCP; the same daemon listens on both the UDP and TCP DNS port.
Only UDP DNS queries are cached. Deadwood does not support caching over TCP; it handles TCP to resolve the rare truncated reply without any useful information or to work with very uncommon non-RFC-compliant TCP-only DNS resolvers. In the real world, DNS-over-TCP is almost never used.
This is done using execfile. To use execfile, place a line like this in the dwood3rc file:
execfile("path/to/filename")
Where path/to/filename is the path to the file to be parsed like a dwood3rc file.
All files must be in or under the directory /etc/deadwood/execfile. Filenames can only have lower-case letters and the underscore character ("_"). Absolute paths are not allowed as the argument to execfile; the filename can not start with a slash ("/") character.
If there is a parse error in the file pointed to by execfile, Deadwood will report the error as being on the line with the execfile command in the main dwood3rc file. To find where a parse error is in the sub-file, use something like "Deadwood -f /etc/deadwood/execfile/filename" to find the parse error in the offending file, where "filename" is the file to to parsed via execfile.
export FLAGS='-Os -DIPV6' make
In addition to use a buffer-overflow resistant string library and a coding style and SQA process that checks for buffer overflows and memory leaks, Deadwood uses a strong pseudo-random number generator (The 32-bit version of RadioGatun) to generate both the query ID and source port. For the random number generator to be secure, Deadwood needs a good source of entropy; by default Deadwood will use /dev/urandom to get this entropy. If you are on a system without /dev/urandom support, it is important to make sure that Deadwood has a good source of entropy so that the query ID and source port are hard to guess (otherwise it is possible to forge DNS packets).
The Windows port of Deadwood includes a program called "mkSecretTxt.exe" that creates a 64-byte (512 bit) random file called "secret.txt" that can be used by Deadwood (via the "random_seed_file" parameter); Deadwood also gets entropy from the timestamp when Deadwood is started and Deadwood's process ID number, so it is same to use the same static secret.txt file as the random_seed_file for multiple invocations of Deadwood.
Note that Deadwood is not protected from someone on the same network viewing packets sent by Deadwood and sending forged packets as a reply.
To protect Deadwood from certain possible denial-of-service attacks, it is best if Deadwood's prime number used for hashing elements in the cache is a random 31-bit prime number. The program RandomPrime.c generates a random prime that is placed in the file DwRandPrime.h that is regenerated whenever either the program is compiled or things are cleaned up with make clean. This program uses /dev/urandom for its entropy; the file DwRandPrime.h will not be regenerated on systems without /dev/urandom.
On systems without direct /dev/urandom support, it is suggested to see if there is a possible way to give the system a working /dev/urandom. This way, when Deadwood is compiled, the hash magic number will be suitably random.
If using a precompiled binary of Deadwood, please ensure that the system has /dev/urandom support (on Windows system, please ensure that the file with the name secret.txt is generated by the included mkSecretTxt.exe program); Deadwood, at runtime, uses /dev/urandom (secret.txt in Windows) as a hardcoded path to get entropy (along with the timestamp) for the hash algorithm.
# This is an example deadwood rc file # Note that comments are started by the hash symbol bind_address="<IP_ADDRESS>" # IP we bind to # The following line is disabled by being commented out #bind_address="::1" # We have optional IPv6 support # Directory we run program from (not used in Win32) chroot_dir = "/etc/deadwood" # The following upstream DNS servers are Google's # (as of December 2009) public DNS servers. For # more information, see the page at # http://code.google.com/speed/public-dns/ # # If neither root_servers nor upstream_servers are set, # Deadwood will use the default ICANN root servers. #upstream_servers = {} #upstream_servers["."]="<IP_ADDRESS>, <IP_ADDRESS>" # Who is allowed to use the cache. This line # allows anyone with "127.0" as the first two # digits of their IP to use Deadwood recursive_acl = "<IP_ADDRESS>/16" # Maximum number of pending requests maxprocs = 2048 # Send SERVER FAIL when overloaded handle_overload = 1 maradns_uid = 99 # UID Deadwood runs as maradns_gid = 99 # GID Deadwood runs as maximum_cache_elements = 60000 # If you want to read and write the cache from disk, # make sure chroot_dir above is readable and writable # by the maradns_uid/gid above, and uncomment the # following line. #cache_file = "dw_cache" # If your upstream DNS server converts "not there" DNS replies # in to IPs, this parameter allows Deadwood to convert any reply # with a given IP back in to a "not there" IP. If any of the IPs # listed below are in a DNS answer, Deadwood converts the answer # in to a "not there" #ip_blocklist = "<IP_ADDRESS>, <IP_ADDRESS>" # By default, for security reasons, Deadwood does not allow IPs in # the 192.168.x.x, 172.[16-31].x.x, 10.x.x.x, 127.x.x.x, # 169.254.x.x, 224.x.x.x, or 0.0.x.x range. If using Deadwood # to resolve names on an internal network, uncomment the # following line: #filter_rfc1918 = 0
Deadwood can not process DNS resource record types with numbers between 65392 and 65407. These RR types are marked by the IANA for "private use"; Deadwood reserves these record types for internal use. This is only 16 record types out of the 65536 possible DNS record types (only 71 have actually been assigned by IANA, so this is a non-issue in the real world).
It is not clear whether the DNS RFCs allow ASCII control characters in DNS names. Even if they were, Deadwood does not allow ASCII control characters (bytes with a value less then 32) in DNS names. Other characters (UTF-8, etc.) are allowed.
Combining a CNAME record with other records is prohibited in RFC1034 section 3.6.2 and RFC1912 section 2.4; it makes an answer ambiguous. Deadwood handles this ambiguity differently than some other DNS servers.


Welcome to the ERA training material and useful information page.
For the latest information on ERA updates,
please see 'ERA UPDATES' at the bottom of this page.
These training materials are for {{roleName}}s and best intended for anyone wanting to complete ERA training and require step-by-step instructions on how to navigate the ERA tool.
The Facilitator Package is intended for an ERA Superuser who is also an ESS trainer and requires classroom material to train other ESS members.
The ESS Field Guide (PDF, 4.5MB) provides information about how emergency support services (ESS) are delivered, and clarifies procedures and guidelines for local authorities and Emergency Support Services teams.
ESS Directors should keep a copy of the guide, which can be updated with revisions posted to this web page. Copies of the guide should also be kept at all reception centres and by Level One responders. The Emergency Support Services Office will communicate amendments by email.
Organizations, agencies and businesses can use the Maximizing Stress Resilience Manual (PDF) as a tool to assess whether or not a new emergency support services recruit will cope during a disaster.
Current responders may also find the manual useful, especially the sections:
The manual was developed by the British Columbia Disaster Worker Care Committee, with the support of the Emergency Support Services Office and the Emergency Support Services Advisory Committee.
Emergency Support Service responders – and their families and friends – are encouraged to read these pages to understand and anticipate the possible emotional consequences associated with responding to disasters. These pages address a number of issues including self-assessment, disaster workers as secondary victims, fatigue, frustration and anger, stress relief and returning home from a disaster.


summ_hdr()
computes a Highest Density Region (HDR) of some pdqr-function
for a supplied level
: a union of (closed) intervals total probability of
which is not less than level
and probability/density at any point inside it
is bigger than some threshold (which should be maximum one with a property
of HDR having total probability not less than level
). This also represents
a set of intervals with the lowest total width among all sets with total
probability not less than a level
.
summ_hdr(f, level = 0.95)
| f | A pdqr-function representing distribution. |
|---|---|
| level | A desired lower bound for a total probability of an output set of intervals. |
A data frame with one row representing one closed interval of HDR and the following columns:
left <dbl>
: Left end of intervals.
right <dbl>
: Right end of intervals.
General algorithm of summ_hdr()
consists from two steps:
Find "target height". That is a value of probability/density which
divides all support into two sets: the one with
probability/density not less than target height (it is a desired HDR) and the
other - with strictly less. The first set should also have total probability
not less than level
.
Form a HDR as a set of closed intervals.
If f
has "discrete" type, target height is computed by looking at "x"
values of "x_tbl" metadata in order of decreasing probability
until their total probability is not less than level
. After that, all "x"
values with probability not less than height are considered to form a HDR.
Output is formed as a set of closed intervals (i.e. both edges included)
inside of which lie all HDR "x" elements and others - don't.
If f
has "continuous" type, target height is estimated as 1-level
quantile of Y = d_f(X)
distribution, where d_f
is d-function
corresponding to f
(as_d(f)
in other words) and X
is a random
variable represented by f
. Essentially, Y
has a distribution of f
's
density values and its 1-level
quantile is a target height. After that, HDR
is formed as a set of intervals with positive width (if level
is more
than 0, see Notes) inside which density is not less than target height.
Notes:
If level
is 0, output has one interval of zero width at point of global mode.
If level
is 1, output has one interval equal to support.
Computation of target height in case of "continuous" type is approximate
which in some extreme cases (for example, like winsorized
distributions) can lead to HDR having total probability very approximate to
and even slightly lower than level
.
If d-function has "plateaus" (consecutive values with equal
probability/density) at computed target height, total probability of HDR can
be considerably bigger than level
(see examples). However, this aligns with
HDR definition, as density values should be not less than target height
and total probability should be not less than level
.
region_*()
family of functions for working with output
HDR.
summ_interval()
for computing of single interval summary of distribution.
Other summary functions:
summ_center()
,
summ_classmetric()
,
summ_distance()
,
summ_entropy()
,
summ_interval()
,
summ_moment()
,
summ_order()
,
summ_prob_true()
,
summ_pval()
,
summ_quantile()
,
summ_roc()
,
summ_separation()
,
summ_spread()
# "discrete" functions
d_dis <- new_d(data.frame(x = 1:4, prob = c(0.4, 0.2, 0.3, 0.1)), "discrete")
summ_hdr(d_dis, 0.3)
#> left right
#> 1 1 1summ_hdr(d_dis, 0.5)
#> left right
#> 1 1 1
#> 2 3 3summ_hdr(d_dis, 0.9)
#> left right
#> 1 1 3## Zero width interval at global mode
summ_hdr(d_dis, 0)
#> left right
#> 1 1 1#> left right
#> 1 -1.960312 1.960312## Zero width interval at global mode
summ_hdr(d_norm, 0)
#> left right
#> 1 -2.904343e-12 -2.904343e-12
# Works well with mixture distributions
d_mix <- form_mix(list(as_d(dnorm), as_d(dnorm, mean = 5)))
summ_hdr(d_mix, 0.95)
#> left right
#> 1 -1.943712 1.980277
#> 2 3.019723 6.943712
# Plateaus
d_unif <- as_d(dunif)
## Returns all support because of density "plateau"
summ_hdr(d_unif, 0.1)
#> left right
#> 1 0 1


BUS MALL MARKETING
Thank you for taking the Bus Mall Marketing Survey.
Please click on the picture of the item you would most likely purchase


if(Optional.isPresent())
which could be rewritten in functional style. Functional style is shorter and
easier to read.
Example:
if (str.isPresent()) str.get().trim();
After the quick fix is applied the result looks like:
str.ifPresent(String::trim);
This inspection only reports if the language level of the project or module is 8 or higher.
New in 2016.3


这是广汽丰田汽车有限公司向贵公司所发的应付款通单，详见附件......
请贵司接到本「通知单」后，核对应付款总额及收款银行信息，确认无误后签名确认并盖上贵司公章。3天内将此单与按要求粘贴好的发票（及其验收清单）邮寄给我公司对应担当。
This is the account payable advice from GTMC, please refer to the attachment for details Upon receipt of this advice, please confirm the total receivables, bank information and complete the column below. Please return this advice and the Check and Accept List to the principal with properly affixed invoice.


[t]Dear[/t] {$userContactName},
[t]The account[/t] {$emailAccountCreated} [t]has been created. You will find below the information to help your email user to configure his account:[/t]
[t]Username[/t]: {$emailAccountCreated}
[t]Password[/t]: {$emailPasswordCreated}
[t]Incoming e-mails[/t]
[t]POP3[/t]
pop.otys.nl
110
[t]Outgoing e-mails[/t]
[t]SMTP[/t]
fun-mail.otys.nl
2525


Motor1.com's Best Spy Shots Of The Week
Here's a weekly review of the vehicles that automakers don't want you to see.
by Chris BruceThings move pretty fast in the secret world of automotive development. Manufacturers are constantly testing prototypes in real-world environments, sometimes years before the debut of a new model. Meanwhile, spy photographers all around the world do their best to catch these machines so we may have a glimpse of what’s to come.
This Week's Big Drives:
We're kept busy posting the latest information on a daily basis, but in case you missed something along the way, here’s a quick summary of all the latest SUVs, sedans, trucks, hatchbacks, and supercars we saw out and about this week.
BMW iNEXT
The BMW iNext is the German brand's upcoming electric crossover. These photos provide a decent look at the exterior and provide a few looks at the cabin.
2021 BMW iNEXT Spy Photos Give Us Our First Peek Inside
Previous iNext Spy Shots:
BMW M5
If you're curious about what makes the refreshed BMW M5 different, then check out these spy shots. They catch the updated model next to the current one and provide a great opportunity to compare them.
BMW M5 Facelift Spied Next To Current Model Highlights Differences
An Updated M5 Is On The Way:
Ferrari Portofino Coupe
A new batch of spy shots provides a fresh glimpse of what we believe is the upcoming fixed-roof version of the Ferrari Portofino. It might carry a different name, though. The photos also hint at a revised front end.
Ferrari Portofino Coupe Spied By Motor1.com Reader
The Last Spy Shots:
Ford Mustang EV Crossover
We know that Ford's electric crossover with Mustang-inspired styling arrives on November 17, and these spy shots are likely our best glance at it until the unveiling. What do you think?
Ford Mustang-Inspired Electric Crossover Spied Virtually Uncovered
The Excitement Is Building For Ford's EV:
Ford F-150
A Motor1.com reader caught a glimpse of this camouflaged Ford F-150 on the road. At least at this stage, it doesn't look considerably different from the current one, but the concealment might just be doing a very good job.
Next Ford F-150 Spied By Motor1.com Reader
Other Chances To See The Next Evolution Of An American Favorite:
2020 Hyundai i20
These shots reveal the Hyundai i20 gets a digital instrument cluster.
New Hyundai i20 Spied With Digital Instrument Cluster
I Spy The I20:
Mercedes-AMG GLA 45
The GLA 45 isn't much of a mystery as a crossover take on the new A45 and CLA 45, but these spy shots provide a great look at it.
2021 Mercedes-AMG GLA 45 Spied Inside And Out On A Rainy Day
More Glimpses Of The GLA 45:
Porsche Panamera
The Porsche Panamera has a refresh on the way, and this pre-production example only wears a little camouflage. There are tiny tweaks to the front bumper and taillights.


|
TouhouFanGame
A RPG Touhou fan game
|
The base exception. More...
#include <Exceptions.hpp>
Public Member Functions | |
| BaseException (const std::string &&msg) | |
| const char * | what () const noexcept override |
Private Attributes | |
| std::string | _msg |
The base exception.
Definition at line 13 of file Exceptions.hpp.
|
inlineexplicit |
Definition at line 18 of file Exceptions.hpp.
|
inlineoverridenoexcept |
Definition at line 21 of file Exceptions.hpp.
|
private |
Definition at line 15 of file Exceptions.hpp.


This guide explains how to use Falcon in production environments.
Falcon can be deployed into production either as a standalone application server, or as a virtual host routing to multiple applications. Both configurations can run behind a load balancer, but falcon virtual
is designed to be zero-configuration deployment option.
Falcon Serve
falcon serve
is not designed for deployment. Do not use it for deployment.
Falcon Hosts
falcon host
is designed for deployment.
Configuration
falcon host
loads configuration from the falcon.rb
file in your application directory. This file contains configuration blocks which define how to host the application and any related services. This file should generally be executable and it invokes falcon host
which starts all defined services.
Here is basic example which hosts a rack application:
#!/usr/bin/env -S falcon host
# frozen_string_literal: true
load :rack, :lets_encrypt_tls, :supervisor
hostname = File.basename(__dir__)
rack hostname, :lets_encrypt_tls do
cache true
end
supervisor
These configuration blocks are constructed using build-environment, and the defaults are listed in the Falcon source code.
Application Configuration
The rack
environment inherits the application environment. These environments by default are defined for usage with falcon virtual
, but you can customise any parts of the configuration, e.g. to bind a production host to localhost:3000
using plaintext HTTP/2:
#!/usr/bin/env -S falcon host
# frozen_string_literal: true
load :rack, :supervisor
hostname = File.basename(__dir__)
rack hostname do
endpoint Async::HTTP::Endpoint.parse('http://localhost:3000').with(protocol: Async::HTTP::Protocol::HTTP2)
end
supervisor
You can verify this is woring using nghttp -v http://localhost:3000
.
Falcon Virtual
Falcon can replace Nginx as a virtual server for Ruby applications.
/--------------------\
| Client Browser |
\--------------------/
||
(TLS + HTTP/2 TCP)
||
/--------------------\
| Falcon Proxy (SNI) |
\--------------------/
||
(HTTP/2 UNIX PIPE)
||
/--------------------\
| Application Server | (Rack Compatible)
\--------------------/
You need to create a falcon.rb
configuration in the root of your applications, and start the virtual host:
$ cat /srv/http/example.com/falcon.rb
#!/usr/bin/env -S falcon host
load :rack, :lets_encrypt_tls, :supervisor
rack 'hello.localhost', :lets_encrypt_tls
supervisor
$ falcon virtual /srv/http/example.com/falcon.rb
The Falcon virtual server is hard coded to redirect http traffic to https, and will serve each application using an internal SNI-based proxy.


InputPhone
allows to input a phone number
formControl.disable()
)
#
,-
and spaces as a template sumbol
Import an Angular module for forms and
TuiInputPhoneModule
in the same module where
you want to use our component:
Declare a form (FormGroup
) or a control
(FormControl
) in your component:
Add to the template:


Keep your file up to date by pulling in changes from collaborators.
If you're working on something with someone you need to stay up to date with the latest state. So you'll want to pull in any changes that may have been made.
See if Reporobot has made any changes to your 'add-' branch by pulling in from the remote named 'origin' on GitHub:
$ git pull <REMOTENAME> <BRANCHNAME>
If nothing's changed, it will tell you 'Already up-to-date'. If there are changes, it will merge those changes into your local version.
Did Reporobot make changes? Git tells you where changes were made. You can open that file and see Reporobot's updates. Surprise, Reporobot is an artist!
{{{verify_directory_button}}}$ git status
$ git pull <REMOTENAME> <REMOTEBRANCH>
$ git fetch --dry-run


For modern astronomical observations within the coming decade, the demand for near-infrared to near-ultraviolet space-based imaging cannot be met by existing and planned space missions. This presently overwhelming and increasing demand can be directly addressed by utilizing scientific balloon-borne platforms that provide access to space quality imaging without the prohibitive cost and long development timescale of traditional space missions. The low cost and repeatability of a balloon launch enable the platform to fly annually in order to meet the high demand, while the short development time scales to ensure that the platform is state of the art. BIT exploits the ballooning environment to obtain ultra-high-resolution astronomical images. This observatory is a paradigm-shifting technology, as it permanently reduces the cost of astronomical observations, which will improve the accessibility of astronomy to a wider and more diverse range of research groups and thus increase the field's research output.
SuperBIT's optical assembly consisting of 0.5 meter modified-Dall-Kirkham f/11 telescope feeding a piezo-electric tip-tilt mirror that guides the light to three CCD chips; two star tracking cameras and one 7 filter enabled science camera.
As of 2019 SuperBIT has successfully completed its mission as a pathfinder experiment conclusively proving the possibility of high resolution diffraction limited imaging from the stratosphere and paving the way for a next generation observatory, GigaBIT. Additionally, SuperBIT's capabilities meet the specifications for a variety of science experiments, some of which will be conducted in an upcoming 30-100 night science flight from Wanaka, NZ.
The Gigapixel class Balloon-borne Imaging Telescope (GigaBIT) is the ultimate goal of the BIT project. It is essentially a SuperBIT with 3x larger optical system. Like SuperBIT, GigaBIT consists of a pointing system and an optical assembly that work together to provide stable high-resolution imaging. SuperBIT serves as the pathfinder experiment component of the BIT project.
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