Manifolds¶
The packege contains classes and methods to extend tf optimizers on manifolds which friquently appear in the quantum data processing
-
class
QGOpt.manifolds.
StiefelManifold
(retraction='svd', metric='euclidean')¶ The complex Stiefel manifold (St(n, p) is the manifold of complex valued isometric matrices of size n x p). One can use it to perform moving of points and vectors along the manifold.
The geometry of the complex Stiefel manifold is taken from
Sato, H., & Iwai, T. (2013, December). A complex singular value decomposition algorithm based on the Riemannian Newton method. In 52nd IEEE Conference on Decision and Control (pp. 2972-2978). IEEE.
Another paper, which was used as a guide is
Edelman, A., Arias, T. A., & Smith, S. T. (1998). The geometry of algorithms with orthogonality constraints. SIAM journal on Matrix Analysis and Applications, 20(2), 303-353.
- Parameters
retraction – string specifies type of retraction. Defaults to ‘svd’. Types of retraction are available: ‘svd’, ‘cayley’, ‘qr’.
metric – string specifies type of metric, Defaults to ‘euclidean’. Types of metrics are available: ‘euclidean’, ‘canonical’.
Notes
All methods of this class operates with tensors of shape (…, n, p), where (…) enumerates manifold (can be any shaped), (n, p) is the shape of a particular matrix (e.g. an element of the complex Stiefel manifold or its tangent vector).
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egrad_to_rgrad
(u, egrad)¶ Returns the Riemannian gradient from an Euclidean gradient.
- Parameters
u – complex valued tensor of shape (…, n, p), a set of points from the complex Stiefel manifold.
egrad – complex valued tensor of shape (…, n, p), a set of Euclidean gradients.
- Returns
complex valued tensor of shape (…, n, p), the set of Reimannian gradients.
Note
The complexity is O(np^2)
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inner
(u, vec1, vec2)¶ Returns manifold wise inner product of vectors from a tangent space.
- Parameters
u – complex valued tensor of shape (…, n, p), a set of points from the complex Stiefel manifold.
vec1 – complex valued tensor of shape (…, n, p), a set of tangent vectors from the complex Stiefel manifold.
vec2 – complex valued tensor of shape (…, n, p), a set of tangent vectors from the complex Stiefel manifold.
- Returns
complex valued tensor of shape (…, 1, 1), manifold wise inner product
Note
The complexity for the ‘euclidean’ metric is O(pn), the complexity for the ‘canonical’ metric is O(np^2)
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is_in_manifold
(u, tol=1e-05)¶ Checks if a point is in the Stiefel manifold or not.
- Parameters
u – complex valued tensor of shape (…, n, p), a point to be checked.
tol – small real value showing tolerance.
- Returns
bolean tensor of shape (…).
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proj
(u, vec)¶ Returns projection of vectors on a tangen space of the complex Stiefel manifold.
- Parameters
u – complex valued tensor of shape (…, n, p), a set of points from the complex Stiefel manifold.
vec – complex valued tensor of shape (…, n, p), a set of vectors to be projected.
- Returns
complex valued tensor of shape (…, n, p), a set of projected vectors
Note
the complexity is O(np^2)
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random
(shape, dtype=tf.complex64)¶ Returns a set of points from the complex Stiefel manifold generated randomly.
- Parameters
shape – tuple of integer numbers (…, n, p), shape of a generated matrix.
dtype – type of an output tensor, can be either tf.complex64 or tf.complex128.
- Returns
complex valued tensor of shape (…, n, p), a generated matrix.
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random_tangent
(u)¶ Returns a set of random tangent vectors to points from the complex Stiefel manifold.
- Parameters
u – complex valued tensor of shape (…, n, p), points from the complex Stiefel manifold.
- Returns
complex valued tensor, set of tangent vectors to u.
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retraction
(u, vec)¶ Transports a set of points from the complex Stiefel manifold via a retraction map.
- Parameters
u – complex valued tensor of shape (…, n, p), a set of points to be transported.
vec – complex valued tensor of shape (…, n, p), a set of direction vectors.
- Returns
complex valued tensor of shape (…, n, p), a set of transported points.
Note
The complexity for the ‘svd’ retraction is O(np^2), the complexity for the ‘cayley’ retraction is O(n^3), the complexity for the ‘qr’ retraction is O(np^2)
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retraction_transport
(u, vec1, vec2)¶ Performs a retraction and a vector transport simultaneously.
- Parameters
u – complex valued tensor of shape (…, n, p), a set of points from the complex Stiefel manifold, starting points.
vec1 – complex valued tensor of shape (…, n, p), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, n, p), a set of direction vectors.
- Returns
two complex valued tensors of shape (…, n, p), a set of transported points and vectors.
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vector_transport
(u, vec1, vec2)¶ Returns a vector tranported along an another vector via vector transport.
- Parameters
u – complex valued tensor of shape (…, n, p), a set of points from the complex Stiefel manifold, starting points.
vec1 – complex valued tensor of shape (…, n, p), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, n, p), a set of direction vectors.
- Returns
complex valued tensor of shape (…, n, p), a set of transported vectors.
Note
The complexity for the ‘svd’ retraction is O(np^2), the complexity for the ‘cayley’ retraction is O(n^3), the complexity for the ‘qr’ retraction is O(np^2)
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class
QGOpt.manifolds.
DensityMatrix
(retraction='projection', metric='euclidean')¶ The manifold of density matrices of fixed rank (rho(n, r) the positive definite hermitian matrices of size nxn with unit trace and rank r). An element of the manifold is represented by a complex matrix A that parametrizes density matrix rho = A @ adj(A) (positive by construction). Notice that for any unitary matrix Q of size nxn the transformation A –> AQ leaves resulting matrix the same. This fact is taken into account by consideration of quotient manifold from
Yatawatta, S. (2013, May). Radio interferometric calibration using a Riemannian manifold. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 3866-3870). IEEE.
It is also partly inspired by the Manopt package (www.manopt.org).
- Parameters
metric – string specifies type of metric, Defaults to ‘euclidean’. Types of metrics are available: ‘euclidean’.
retraction – string specifies type of retraction, Defaults to ‘projection’. Types of metrics are available: ‘projection’.
Notes
All methods of this class operates with tensors of shape (…, n, r), where (…) enumerates manifold (can be any shaped), (n, r) is the shape of a particular matrix (e.g. an element of the manifold or its tangent vector).
-
egrad_to_rgrad
(u, egrad)¶ Returns the Riemannian gradient from an Euclidean gradient.
- Parameters
u – complex valued tensor of shape (…, n, r), a set of points from the manifold.
egrad – complex valued tensor of shape (…, n, r), a set of Euclidean gradients.
- Returns
complex valued tensor of shape (…, n, r), the set of Reimannian gradients.
Note
The complexity is O(nr).
-
inner
(u, vec1, vec2)¶ Returns manifold wise inner product of vectors from a tangent space.
- Parameters
u – complex valued tensor of shape (…, n, r), a set of points from the manifold.
vec1 – complex valued tensor of shape (…, n, r), a set of tangent vectors from the manifold.
vec2 – complex valued tensor of shape (…, n, r), a set of tangent vectors from the manifold.
- Returns
complex valued tensor of shape (…, 1, 1), manifold wise inner product.
Note
The complexity is O(nr).
-
is_in_manifold
(u, tol=1e-05)¶ Checks if a point is in the manifold or not.
- Parameters
u – complex valued tensor of shape (…, n, n), a point to be checked.
tol – small real value showing tolerance.
- Returns
bolean tensor of shape (…).
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proj
(u, vec)¶ Returns projection of vectors on a tangen space of the manifold.
- Parameters
u – complex valued tensor of shape (…, n, r), a set of points from the manifold.
vec – complex valued tensor of shape (…, n, r), a set of vectors to be projected.
- Returns
complex valued tensor of shape (…, n, r), a set of projected vectors.
Note
The complexity is O(nr^2).
-
random
(shape, dtype=tf.complex64)¶ Returns a set of points from the manifold generated randomly.
- Parameters
shape – tuple of integer numbers (…, n, r), shape of a generated matrix.
dtype – type of an output tensor, can be either tf.complex64 or tf.complex128.
- Returns
complex valued tensor of shape (…, n, r), a generated matrix.
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random_tangent
(u)¶ Returns a set of random tangent vectors to points from the manifold.
- Parameters
u – complex valued tensor of shape (…, n, r), points from the manifold.
- Returns
complex valued tensor, set of tangent vectors to u.
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retraction
(u, vec)¶ Transports a set of points from the manifold via a retraction map.
- Parameters
u – complex valued tensor of shape (…, n, r), a set of points to be transported.
vec – complex valued tensor of shape (…, n, r), a set of direction vectors.
- Returns
complex valued tensor of shape (…, n, r), a set of transported points.
Note
The complexity is O(nr).
-
retraction_transport
(u, vec1, vec2)¶ Performs a retraction and a vector transport simultaneously.
- Parameters
u – complex valued tensor of shape (…, n, r), a set of points from the manifold, starting points.
vec1 – complex valued tensor of shape (…, n, r), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, n, r), a set of direction vectors.
- Returns
two complex valued tensors of shape (…, n, r), a set of transported points and vectors.
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vector_transport
(u, vec1, vec2)¶ Returns a vector tranported along an another vector via vector transport.
- Parameters
u – complex valued tensor of shape (…, n, r), a set of points from the manifold, starting points.
vec1 – complex valued tensor of shape (…, n, r), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, n, r), a set of direction vectors.
- Returns
complex valued tensor of shape (…, n, r), a set of transported vectors.
Note
The complexity is O(nr^2).
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class
QGOpt.manifolds.
ChoiMatrix
(retraction='svd', metric='euclidean')¶ The manifold of Choi matrices of fixed rank (Kraus rank). Choi matrices of fixed Kraus rank are the set of matrices of size (n^2) x (n^2) (n is the dimension of a quantum system) with rank k that are positive definite (the corresponding quantum channel is completely positive) and with the additional constraint: Tr_2(choi) = Id, where Tr_2 is the partial trace over the second subsystem, Id is the identity matrix (ensures the trace-preserving property of the corresponding quantum channel). In the general case Kraus rank of a Choi matrix is equal to n^2. An element of this manifold is represented by a complex matrix A of size (n^2)xk that parametrizes a Choi matrix C = A @ adj(A) (positive by construction). Notice that for any unitary matrix Q of size k x k the transformation A –> AQ leaves resulting matrix the same. This fact is taken into account via consideration of a quotient manifold from
Yatawatta, S. (2013, May). Radio interferometric calibration using a Riemannian manifold. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 3866-3870). IEEE.
- Parameters
metric – string specifies type of metric, Defaults to ‘euclidean’. Types of metrics are available: ‘euclidean’.
retraction – string specifies type of retraction, Defaults to ‘svd’. Types of metrics are available: ‘svd’.
Notes
All methods of this class operate with tensors of shape (…, n ** 2, k), where (…) enumerates a manifold (can be any shaped), (n ** 2, k) is the shape of a particular matrix (e.g. an element of the manifold or its tangent vector). In order to take a partial trace of a Choi matrix over the second subsystem one can at first reshape a Choi matrix (n ** 2, n ** 2) –> (n, n, n, n) and then take a trace over 1st and 3rd indices (the numeration starts from 0).
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egrad_to_rgrad
(u, egrad)¶ Returns the Riemannian gradient from an Euclidean gradient.
- Parameters
u – complex valued tensor of shape (…, n ** 2, k), a set of points from the manifold.
egrad – complex valued tensor of shape (…, n ** 2, k), a set of Euclidean gradients.
- Returns
complex valued tensor of shape (…, n ** 2, k), the set of Reimannian gradients.
Note
The complexity O(kn^3)
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inner
(u, vec1, vec2)¶ Returns manifold wise inner product of vectors from a tangent space.
- Parameters
u – complex valued tensor of shape (…, n ** 2, k), a set of points from the manifold.
vec1 – complex valued tensor of shape (…, n ** 2, k), a set of tangent vectors from the manifold.
vec2 – complex valued tensor of shape (…, n ** 2, k), a set of tangent vectors from the manifold.
- Returns
complex valued tensor of shape (…, 1, 1), manifold wise inner product
Note
The complexity O(kn^2)
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is_in_manifold
(u, tol=1e-05)¶ Checks if a point is in the manifold or not.
- Parameters
u – complex valued tensor of shape (…, n ** 2, k), a point to be checked.
tol – small real value showing tolerance.
- Returns
bolean tensor of shape (…).
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proj
(u, vec)¶ Returns projection of vectors on a tangen space of the manifold.
- Parameters
u – complex valued tensor of shape (…, n ** 2, k), a set of points from the manifold.
vec – complex valued tensor of shape (…, n ** 2, k), a set of vectors to be projected.
- Returns
complex valued tensor of shape (…, n ** 2, k), a set of projected vectors.
Note
The complexity O(kn^3+k^2n^2)
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random
(shape, dtype=tf.complex64)¶ Returns a set of points from the manifold generated randomly.
- Parameters
shape – tuple of integer numbers (…, n ** 2, k), shape of a generated matrix.
dtype – type of an output tensor, can be either tf.complex64 or tf.complex128.
- Returns
complex valued tensor of shape (…, n ** 2, k), a generated matrix.
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random_tangent
(u)¶ Returns a set of random tangent vectors to points from the manifold.
- Parameters
u – complex valued tensor of shape (…, n ** 2, k), points from the manifold.
- Returns
complex valued tensor, set of tangent vectors to u.
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retraction
(u, vec)¶ Transports a set of points from the manifold via a retraction map.
- Parameters
u – complex valued tensor of shape (…, n ** 2, k), a set of points to be transported.
vec – complex valued tensor of shape (…, n ** 2, k), a set of direction vectors.
- Returns
complex valued tensor of shape (…, n ** 2, k), a set of transported points.
Note
The complexity O(kn^3)
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retraction_transport
(u, vec1, vec2)¶ Performs a retraction and a vector transport simultaneously.
- Parameters
u – complex valued tensor of shape (…, n ** 2, k), a set of points from the manifold, starting points.
vec1 – complex valued tensor of shape (…, n ** 2, k), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, n ** 2, k), a set of direction vectors.
- Returns
two complex valued tensors of shape (…, n ** 2, k), a set of transported points and vectors.
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vector_transport
(u, vec1, vec2)¶ Returns a vector tranported along an another vector via vector transport.
- Parameters
u – complex valued tensor of shape (…, n ** 2, k), a set of points from the manifold, starting points.
vec1 – complex valued tensor of shape (…, n ** 2, k), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, n ** 2, k), a set of direction vectors.
- Returns
complex valued tensor of shape (…, n ** 2, k), a set of transported vectors.
Note
The complexity O(kn^3+k^2n^2)
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class
QGOpt.manifolds.
POVM
(retraction='svd', metric='euclidean')¶ The manifold of all POVMs of size m. POVM is a set of complex positive semi-definite matrices {E_i} for which sum_i(E_i) = I, where I is the identity matrix. We use quadratic parametrization to represent a particular POVM: E_i = A_i @ adj(A_i). Notice that for any unitary matrix Q of size nxn the transformation A_i –> A_iQ_i leaves resulting matrix the same. This fact is taken into account by consideration of quotient manifold from
Yatawatta, S. (2013, May). Radio interferometric calibration using a Riemannian manifold. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 3866-3870). IEEE.
- Parameters
metric – string specifies type of metric, Defaults to ‘euclidean’. Types of metrics are available: ‘euclidean’.
retraction – string specifies type of retraction, Defaults to ‘svd’. Types of metrics are available: ‘svd’.
Notes
All methods of this class operates with tensors of shape (…, m, n, n), where (…) enumerates manifold (can be any shaped), (m, n, n) is the shape of a particular matrix (e.g. an element of the manifold or its tangent vector).
-
egrad_to_rgrad
(u, egrad)¶ Returns the Riemannian gradient from an Euclidean gradient.
- Parameters
u – complex valued tensor of shape (…, m, n, n), a set of points from the manifold.
egrad – complex valued tensor of shape (…, m, n, n), a set of Euclidean gradients.
- Returns
complex valued tensor of shape (…, m, n, n), the set of Reimannian gradients.
Note
The complexity is O(mn^3).
-
inner
(u, vec1, vec2)¶ Returns manifold wise inner product of vectors from a tangent space.
- Parameters
u – complex valued tensor of shape (…, m, n, n), a set of points from the manifold.
vec1 – complex valued tensor of shape (…, m, n, n), a set of tangent vectors from the manifold.
vec2 – complex valued tensor of shape (…, m, n, n), a set of tangent vectors from the manifold.
- Returns
complex valued tensor of shape (…, 1, 1, 1), manifold wise inner product.
Note
The complexity is O(mn^2)
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is_in_manifold
(u, tol=1e-05)¶ Checks if a point is in the manifold or not.
- Parameters
u – complex valued tensor of shape (…, m, n, n), a point to be checked.
tol – small real value showing tolerance.
- Returns
bolean tensor of shape (…).
-
proj
(u, vec)¶ Returns projection of vectors on a tangen space of the manifold.
- Parameters
u – complex valued tensor of shape (…, m, n, n), a set of points from the manifold.
vec – complex valued tensor of shape (…, m, n, n), a set of vectors to be projected.
- Returns
complex valued tensor of shape (…, m, n, n), a set of projected vectors.
Note
The complexity is O(mn^3).
-
random
(shape, dtype=tf.complex64)¶ Returns a set of points from the manifold generated randomly.
- Parameters
shape – tuple of integer numbers (…, m, n, n), shape of a generated matrix.
dtype – type of an output tensor, can be either tf.complex64 or tf.complex128.
- Returns
complex valued tensor of shape (…, m, n, n), a generated matrix.
-
random_tangent
(u)¶ Returns a set of random tangent vectors to points from the manifold.
- Parameters
u – complex valued tensor of shape (…, m, n, n), points from the manifold.
- Returns
complex valued tensor, set of tangent vectors to u.
-
retraction
(u, vec)¶ Transports a set of points from the manifold via a retraction map.
- Parameters
u – complex valued tensor of shape (…, m, n, n), a set of points to be transported.
vec – complex valued tensor of shape (…, m, n, n), a set of direction vectors.
- Returns
complex valued tensor of shape (…, m, n, n), a set of transported points.
Note
The complexity is O(mn^3).
-
retraction_transport
(u, vec1, vec2)¶ Performs a retraction and a vector transport simultaneously.
- Parameters
u – complex valued tensor of shape (…, m, n, n), a set of points from the manifold, starting points.
vec1 – complex valued tensor of shape (…, m, n, n), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, m, n, n), a set of direction vectors.
- Returns
two complex valued tensors of shape (…, m, n, n), a set of transported points and vectors.
-
vector_transport
(u, vec1, vec2)¶ Returns a vector tranported along an another vector via vector transport.
- Parameters
u – complex valued tensor of shape (…, m, n, n), a set of points from the manifold, starting points.
vec1 – complex valued tensor of shape (…, m, n, n), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, m, n, n), a set of direction vectors.
- Returns
complex valued tensor of shape (…, m, n, n), a set of transported vectors.
Note
The complexity is O(mn^3).
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class
QGOpt.manifolds.
HermitianMatrix
(retraction='expmap', metric='euclidean')¶ The manifold of Hermitian matrices (the set of complex matrices of size nxn for which A = adj(A)).
- Parameters
metric – string specifies type of metric, Defaults to ‘euclidean’. Types of metrics are available: ‘euclidean’.
retraction – string specifies type of retraction, Defaults to ‘expmap’. Types of metrics are available: ‘expmap’.
-
egrad_to_rgrad
(u, egrad)¶ Returns the Riemannian gradient from an Euclidean gradient.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points from the manifold.
egrad – complex valued tensor of shape (…, n, n), a set of Euclidean gradients.
- Returns
complex valued tensor of shape (…, n, n), the set of Reimannian gradients.
Note
The complexity is O(n^2).
-
inner
(u, vec1, vec2)¶ Returns manifold wise inner product of vectors from a tangent space.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points from the manifold.
vec1 – complex valued tensor of shape (…, n, n), a set of tangent vectors from the manifold.
vec2 – complex valued tensor of shape (…, n, n), a set of tangent vectors from the manifold.
- Returns
complex valued tensor of shape (…, 1, 1), manifold wise inner product.
Note
The complexity is O(n^2).
-
is_in_manifold
(u, tol=1e-05)¶ Checks if a point is in the manifold or not.
- Parameters
u – complex valued tensor of shape (…, n, n), a point to be checked.
tol – small real value showing tolerance.
- Returns
bolean tensor of shape (…).
-
proj
(u, vec)¶ Returns projection of vectors on a tangen space of the manifold.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points from the manifold.
vec – complex valued tensor of shape (…, n, n), a set of vectors to be projected.
- Returns
complex valued tensor of shape (…, n, n), a set of projected vectors.
Note
The complexity is O(n^2).
-
random
(shape, dtype=tf.complex64)¶ Returns a set of points from the manifold generated randomly.
- Parameters
shape – tuple of integer numbers (…, n, n), shape of a generated matrix.
dtype – type of an output tensor, can be either tf.complex64 or tf.complex128.
- Returns
complex valued tensor of shape (…, n, n), a generated matrix.
-
random_tangent
(u)¶ Returns a set of random tangent vectors to points from the manifold.
- Parameters
u – complex valued tensor of shape (…, n, n), points from the manifold.
- Returns
complex valued tensor, set of tangent vectors to u.
-
retraction
(u, vec)¶ Transports a set of points from the manifold via a retraction map.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points to be transported.
vec – complex valued tensor of shape (…, n, n), a set of direction vectors.
- Returns
complex valued tensor of shape (…, n, n), a set of transported points.
Note
The complexity is O(n^2).
-
retraction_transport
(u, vec1, vec2)¶ Performs a retraction and a vector transport simultaneously.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points from the manifold, starting points.
vec1 – complex valued tensor of shape (…, n, n), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, n, n), a set of direction vectors.
- Returns
two complex valued tensors of shape (…, n, n), a set of transported points and vectors.
-
vector_transport
(u, vec1, vec2)¶ Returns a vector tranported along an another vector via vector transport.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points from the manifold, starting points.
vec1 – complex valued tensor of shape (…, n, n), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, n, n), a set of direction vectors.
- Returns
complex valued tensor of shape (…, n, n), a set of transported vectors.
Note
The complexity is O(n^2).
-
class
QGOpt.manifolds.
PositiveCone
(retraction='expmap', metric='log_cholesky')¶ The manifold of Hermitian positive definite matrices of size nxn. The manifold is equipped with two types of metric: Log-Cholesky metric and Log-Euclidean metric. The geometry of the manifold with Log-Cholesky metric is taken from
Lin, Z. (2019). Riemannian Geometry of Symmetric Positive Definite Matrices via Cholesky Decomposition. SIAM Journal on Matrix Analysis and Applications, 40(4), 1353-1370.
The geometry of the manifold with Log-Euclidean metric is described for instance in
Huang, Z., Wang, R., Shan, S., Li, X., & Chen, X. (2015, June). Log-euclidean metric learning on symmetric positive definite manifold with application to image set classification. In International conference on machine learning (pp. 720-729).
- Parameters
metric – string specifies type of a metric, Defaults to ‘log_cholesky’ Types of metrics are available: ‘log_cholesky’, ‘log_euclidean.’
retraction – string specifies type of retraction, Defaults to ‘expmap’. Types of metrics are available: ‘expmap’.
-
egrad_to_rgrad
(u, egrad)¶ Returns the Riemannian gradient from an Euclidean gradient.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points from the manifold.
egrad – complex valued tensor of shape (…, n, n), a set of Euclidean gradients.
- Returns
complex valued tensor of shape (…, n, n), the set of Reimannian gradients.
Note
The complexity O(n^3).
-
inner
(u, vec1, vec2)¶ Returns manifold wise inner product of vectors from a tangent space.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points from the manifold.
vec1 – complex valued tensor of shape (…, n, n), a set of tangent vectors from the manifold.
vec2 – complex valued tensor of shape (…, n, n), a set of tangent vectors from the manifold.
- Returns
complex valued tensor of shape (…, 1, 1), manifold wise inner product.
Note
The complexity O(n^3) for both inner products.
-
is_in_manifold
(u, tol=1e-05)¶ Checks if a point is in the manifold or not.
- Parameters
u – complex valued tensor of shape (…, n, n), a point to be checked.
tol – small real value showing tolerance.
- Returns
bolean tensor of shape (…).
-
proj
(u, vec)¶ Returns projection of vectors on a tangen space of the manifold.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points from the manifold.
vec – complex valued tensor of shape (…, n, n), a set of vectors to be projected.
- Returns
complex valued tensor of shape (…, n, n), a set of projected vectors.
Note
The complexity O(n^2).
-
random
(shape, dtype=tf.complex64)¶ Returns a set of points from the manifold generated randomly.
- Parameters
shape – tuple of integer numbers (…, n, n), shape of a generated matrix.
dtype – type of an output tensor, can be either tf.complex64 or tf.complex128.
- Returns
complex valued tensor of shape (…, n, n), a generated matrix.
-
random_tangent
(u)¶ Returns a set of random tangent vectors to points from the manifold.
- Parameters
u – complex valued tensor of shape (…, n, n), points from the manifold.
- Returns
complex valued tensor, set of tangent vectors to u.
-
retraction
(u, vec)¶ Transports a set of points from the manifold via a retraction map.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points to be transported.
vec – complex valued tensor of shape (…, n, n), a set of direction vectors.
- Returns
complex valued tensor of shape (…, n, n), a set of transported points.
Note
The complexity O(n^3).
-
retraction_transport
(u, vec1, vec2)¶ Performs a retraction and a vector transport simultaneously.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points from the manifold, starting points.
vec1 – complex valued tensor of shape (…, n, n), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, n, n), a set of direction vectors.
- Returns
two complex valued tensors of shape (…, n, n), a set of transported points and vectors.
-
vector_transport
(u, vec1, vec2)¶ Returns a vector tranported along an another vector via vector transport.
- Parameters
u – complex valued tensor of shape (…, n, n), a set of points from the manifold, starting points.
vec1 – complex valued tensor of shape (…, n, n), a set of vectors to be transported.
vec2 – complex valued tensor of shape (…, n, n), a set of direction vectors.
- Returns
complex valued tensor of shape (…, n, n), a set of transported vectors.
Note
The complexity O(n^3).


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Most affected areas: Flinders street from Elizabeth St to Swanston St
Swanston St from Flinders St to Bourke St


Tzaneen family reeling after award-winning Limpopo cop killed in front of her kids
It is alleged Sergeant Yvonne Moyana’s husband, Warrant Officer Phike Abel Moyana, shot her before turning the gun on himself at their home on Saturday.
by News24 WireThe 43-year-old Sergeant Yvonne Moyana, right, was a communications officer in the Tzaneen police cluster.
Sergeant Yvonne Moyana, 43, was a communications officer in the Tzaneen police cluster.
It is alleged her husband, Warrant Officer Phike Abel Moyana, shot her before turning the gun on himself at their home on Saturday.
The incident happened in the presence of the couple’s three children.
Speaking to News24 on Monday, Moyana’s cousin, Nicholas Ntiwane who regarded her as a sister, said the family was still in shock and bewildered by what had happened.
Ntiwane added he spoke with Yvonne regularly and not once had she hinted to them that she was going through any domestic issues with her husband. He described her as bubbly, and remembered she always had a smile on her face.
He said Moyana was a communicator even within their family.
“Everybody liked [Yvonne] and that is why this comes as a shock because if we knew, we would have intervened and tried to resolve the problem before it could reach this end,” an emotional Ntiwane told News24 on Monday.
While the children – aged five, 13 and 16 – were undergoing counselling, they were struggling to come to terms with the loss of their parents, Ntiwane said.
Visiting them on Sunday following the incident, he added he could see they were trying to be strong.
“[The incident] is really traumatic for the kids because it happened in front of them. They are OK, although you can see that they cannot accept the situation…”
Yvonne was one of the top-performing officers in the province, having been named as the top police sergeant this year. She also scooped the Best Visible Policing Employee of the Year Award in 2018.
Police spokesperson Brigadier Motlafela Mojapelo said she was actively involved in the social crime prevention programme.
The police have opened murder and inquest dockets following the incident.
Mojapelo said the motive for the incident would be established during the investigation.
Ntiwane said Yvonne would be buried in Mkhuhlu, Mpumalanga, on Saturday, while his brother-in-law would buried in Musina, Limpopo, on Sunday.


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--- layout: post title: Dojo #2 date: 2006-10-30 00:00:00 categories: business personal software-development ---
We had another coding dojo tonight, courtesy of our able facilitator, Ms Hunt.
I enjoyed it. The task this time was to write a simple text adventure. We made slow progress as a group, but ended up with a functioning model for a game, which allows motion around a game world.
I felt that the confines of 5-minute stretches as navigator or driver in a pair programming scenario led to unintended consequences... personally I felt pressured to deliver something solid in my 5 minutes, and I wonder if this doesn't lead to the now-familiar situation where we've written lots of classes representing entities in the system, but can't quite see how they fit together. Some design up front seems to be warranted ;) This time around it seemed that we had a good model done (with some bleed-over into a controller, leading to a little heated debate) but no view.
High point: at the very end of the evening the cry went up "did anyone read the spec?". Urk, no...


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{% extends "django_conference/register_base.html" %} {% block main %}
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BACHELOR OF SCIENCE IN TOURISM MANAGEMENT
The Bachelor of Science in Tourism Management (BSTM) is a (4) four-year degree program for people who want to have a career in the field of Tourism and Event Management. This course leads to expertise in the management of tour-operating agencies, as well as other jobs in the tourism and hospitality sector. The curriculum also includes operational competencies, event management classes, investment, and market study and this program aimed at providing students with the in-depth knowledge about tourism and hospitality trends. It involves both practical and academic study of tourism business, its operations, the behavior of tourists, trends in the tourism industry and its dynamics.


Miniature Pinscher
| Miniature Pinscher Picture | |
| Breed Information | |
|---|---|
| Popularity | 2017: #712016: #682015: #64 |
| Name | Miniature Pinscher |
| Other names | Min Pin, King Of The Toys, Reh Pinscher, Zwergpinsc |
| Origin | Germany |
| Breed Group | Toy (AKC:1925)Companion Breeds (UKC) |
| Size | Small |
| Type | Purebred |
| Life span | 12-15 years |
| Temperament | CleverEnergeticFriendlyOutgoingPlayfulResponsiveIntelligent |
| Height | Male: 10-12 inches (25-30 cm)Female: 10-11 inches (25-28 cm) |
| Weight | Male: 8-10 pounds (4-5 kg)Female: 8-9 pounds (about 4 kg) |
| Colors | Black & RustBlack & TanChocolate & RustChocolate & TanRedStag Red |
| Litter Size | 2-5 puppies |
| Puppy Price | Average $400 - $600 USD |
| Breed Characteristics | |
| Adaptability | 5 stars |
| Apartment Friendly | 4 starsThe Miniature Pinscher is good for apartment life. It is very active indoors and will do okay without a yard. The Miniature Pinscher should be protected from the cold. |
| Barking Tendencies | 5 starsFrequent |
| Cat Friendly | 3 stars |
| Child Friendly | 4 starsGood with Kids: This is a suitable dog breed for kids. It is also friendly toward other pets and friendly toward strangers. |
| Dog Friendly | 2 stars |
| Exercise Needs | 2 starsMin Pins need a daily walk. Play will take care of a lot of their exercise needs, however, as with all breeds, play will not fulfill their primal instinct to walk. Dogs that do not get to go on daily walks are more likely to display behavior problems. They will also enjoy a good romp in a safe, open area off lead, such as a large, fenced-in yard. Make sure any yard in which they can run loose has a fence high enough to prevent their determined efforts to escape and explore. |
| Grooming | 1 starsLow Maintenance: Min Pins are really easy to groom — there’s almost nothing to it because of their short, smooth coat. Just use a bristle brush once or twice a week. |
| Health Issues | 2 starsHypoallergenic: No |
| Intelligence | 4 starsRanking: #37. (See All Rankings) |
| Playfulness | 5 stars |
| Shedding Level | 3 starsModerate Shedding: They shed an average amount, but their small size means that there is less fur shed than from a larger dog with the same kind of short coat. |
| Stranger Friendly | 2 stars |
| Trainability | 4 starsEasy Training: Training for the Miniature Pinscher must be consistent. The Miniature Pinscher is eager to learn and obeys commands fairly quickly, but it can also be stubborn. As this is a working dog, it is best not to spoil it, as this increases its willfulness. Miniature Pinschers are difficult to housebreak. |
| Watchdog Ability | 3 stars |
| Miniature Pinscher Puppy Picture | ||
| Puppy Names | ||
|---|---|---|
| Rank | Male | Female |
| 01 | Charlie | Maggie |
| 02 | Buddy | Daisy |
| 03 | Harley | Coco |
| 04 | Teddy | Penny |
| 05 | Oliver | Lola |
| 06 | Duke | Molly |
| 07 | Dexter | Penny |
| 08 | Sam | Dixie |
| 09 | Oscar | Abbie |
| 10 | Louie | Ruby |
| See All Names › |
| Overview |
|---|
|
The square-proportioned miniature pinscher has a compact, sturdy body with moderate tuck up and sort coupling. Its hallmark traits are its spirited animation, complete self-possession and high-stepping hackney gait. It is upstanding and alert. The coat is smooth, hard and short. It is among the most athletic of toy breeds. Among the most energetic of all breeds, the min pin is a perpetual motion machine. It is busy, inquisitive, playful, bold and brash. It retains terrier-like traits and tends to be stubborn and independent. It can be scrappy with other dogs and may chase small animals. It is reserved with strangers. |
| History |
| Well-known as the “Min-Pin”, the Miniature Pinscher has been bred in Germany for hundreds of years. One theory is that it was developed by breeding the German Pinscher to Dachshunds and Italian Greyhounds to obtain a smaller-sized dog. It was one of the breeds included in the Pinscher-Schnauzer Club formed in Germany in the 1890’s. Some of the Miniature Pinscher's talents are competitive obedience, watchdog and agility. |
Next » Mudi


This dish is so comforting and easy to make. Even better if you can slow cook in a dutch oven for an hour or two (or more).
Ingredients
- 1 package Crimini Mushrooms
- 1 can Northern White Beans
- 1/2 large Sweet Onion, diced
- 1/2 Roasted Red Pepper
- 2 cloves Garlic
- 1/2 Lemon
- 1 tbsp Oregano
- Fresh parsely
- Fresh Rosemary tied, then removed after cooking
- 1 tsp Cayenne Pepper
- 1 tbsp Frank’s Red Hot Sauce
- 1 tbsp Nutritional Yeast or some finely shredded Parmesan
- Salt and Pepper to taste
Directions
- Using a dutch oven, turn the heat to medium-high.
- Once the dutch oven is hot, add olive oil or comparable oil. Add the diced sweet onion and turn heat down to medium and cook until almost transparent. Add salt during the cooking process.
- While the onions are cooking, drain one can of Northern White Beans and rinse.
- After onions are almost cooked, add diced garlic and diced roasted red pepper. Add salt, cayenne pepper, and black pepper.
- After the vegetables are mostly cooked, add the white beans and half the chopped parsley. Cover and simmer for 15-20 minutes. Stir occasionally.
Finish with the rest of the fresh parsely and arugula and squeeze 1/2 of lemon over dish. The beans go great with a side of garlic bread!


{% extends "layout.html" %}
{% block content %}
{% if adminView == True %}
{% if uploadFailed != True %}
Your CSV has been uploaded!
Return to Home {% elif uploadFailed == True %}There was an error uploading your CSV file. Please try again later.
Return to Home {% else %} {% endif %} {% endif %} {% endblock %}


|
|
As a summer participant in Chicago's inaugural Girls Who Code - Microsoft program, my three teammates and I built built and launched an online news aggregator to educate young folks on the 2016 presidential election.
|
| Projects | Writing | Drop me a line |
|---|---|---|
| BCNM Publications | Art Institute of Chicago Field Trip |<EMAIL_ADDRESS>|
| UCB Library Student Council | Writing Portfolio | |
| Voteworthy.org | Spotify | |
| bGlass |


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|
| Local Properties | Local Methods | |
| Managed Object Types | Data Object Types | All Properties | All Methods |
From a technical perspective, a vApp container is a specialized resource pool that has been extended with the following capabilities:
Destroying a vApp
When a vApp is destroyed, all of its virtual machines are destroyed, as well as any child vApps.
The VApp.Delete privilege must be held on the vApp as well as the parent folder of the vApp. Also, the VApp.Delete privilege must be held on any child vApps that would be destroyed by the operation.
Properties
| Name | Type | Description |
|---|---|---|
| childLink* | VirtualAppLinkInfo[] | Deprecated.
As of vSphere API 5.1.
List of linked children.
Since vSphere API 4.1 |
| datastore* P | ManagedObjectReference[]
to a Datastore[] |
A collection of references to the subset of datastore objects used by this
vApp.
|
| network* P | ManagedObjectReference[]
to a Network[] |
A collection of references to the subset of network objects that
is used by this virtual machine.
|
| parentFolder* P | ManagedObjectReference
to a Folder |
A reference to the parent folder in the VM and Template folder hierarchy. This
is only set for a root vApp. A root vApp is a vApp that is not a child of
another vApp.
|
| parentVApp* | ManagedObjectReference
to a ManagedEntity |
Reference to the parent vApp.
Since vSphere API 4.1 |
| vAppConfig* P | VAppConfigInfo |
Configuration of this package.
|
| Properties inherited from ResourcePool | ||
| childConfiguration, config, owner, resourcePool, runtime, summary, vm | ||
| Properties inherited from ManagedEntity | ||
| alarmActionsEnabled, configIssue, configStatus, customValue, declaredAlarmState, disabledMethod, effectiveRole, name, overallStatus, parent, permission, recentTask, tag, triggeredAlarmState | ||
| Properties inherited from ExtensibleManagedObject | ||
| availableField, value |
Methods
| Methods defined in this Managed Object |
|---|
| CloneVApp_Task, ExportVApp, PowerOffVApp_Task, PowerOnVApp_Task, SuspendVApp_Task, unregisterVApp_Task, UpdateLinkedChildren, UpdateVAppConfig |
| Methods inherited from ResourcePool |
| CreateChildVM_Task, CreateResourcePool, CreateVApp, DestroyChildren, ImportVApp, MoveIntoResourcePool, QueryResourceConfigOption, RefreshRuntime, RegisterChildVM_Task, UpdateChildResourceConfiguration, UpdateConfig |
| Methods inherited from ManagedEntity |
| Destroy_Task, Reload, Rename_Task |
| Methods inherited from ExtensibleManagedObject |
| setCustomValue |
Any % (percent) character used in this name parameter must be escaped, unless it is used to start an escape sequence. Clients may also escape any other characters in this name parameter.
When invoking this method, the following privilege checks occur:
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the VirtualApp used to make the method call. |
| name | xsd:string |
The name of the new vApp.
|
| target | ManagedObjectReference
to a ResourcePool |
The parent entity of the new vApp. Must be of type
ResourcePool or VirtualApp.
|
| spec | VAppCloneSpec |
Specifies how to clone the vApp.
|
Return Value
| Type | Description |
|---|---|
| ManagedObjectReference
to a Task |
Faults
| Type | Description |
|---|---|
| FileFault | Thrown if there was an error accessing one of the virtual machine files. |
| InsufficientResourcesFault | Thrown if this operation would violate a resource usage policy. |
| InvalidDatastore | Thrown if the operation cannot be performed on the target datastores. |
| InvalidPowerState | Thrown if the vApp is powered on. |
| InvalidState | Thrown if the operation cannot be performed because of the vApp's current state. For example, if the virtual machine configuration information is not available, or if the vApp is running. |
| MigrationFault | Thrown if it is not possible to migrate one of the virtual machines to the destination. This is typically due to hosts being incompatible, such as mismatch in network polices or access to networks and datastores. Typically, a more specific subclass is thrown. |
| NotSupported | Thrown if the operation is not supported by the current agent. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| TaskInProgress | Thrown if the vApp is busy. |
| VmConfigFault | Thrown if one of the virtual machines are not compatible with a destination host. Typically, a specific subclass of this exception is thrown, such as IDEDiskNotSupported. |
Events
| Type | |
|---|---|
| None |
See HttpNfcLease for information on how to use the lease.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the VirtualApp used to make the method call. |
Return Value
| Type | Description |
|---|---|
| ManagedObjectReference
to a HttpNfcLease | The export lease on this vApp. The export task continues running until the lease is completed or aborted. |
Faults
| Type | Description |
|---|---|
| FileFault | Thrown if there was an error accessing one of the virtual machine files. |
| InvalidPowerState | Thrown if the vApp is powered on. |
| InvalidState | Thrown if the operation cannot be performed because of the vApp's current state. For example, if the virtual machine configuration information is not available, or if the vApp is running or already powering on. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| TaskInProgress | Thrown if the vApp is busy. |
Events
| Type | |
|---|---|
| None |
The virtual machines (or child vApps) will be stopped in the order specified in the vApp configuration, if force is false. If force is set to true, all virtual machines are powered-off (in no specific order and possibly in parallel) regardless of the vApp auto-start configuration.
While a vApp is stopping, all power operations performed on sub entities are disabled through the VIM API. They will throw TaskInProgress.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the VirtualApp used to make the method call. |
| force | xsd:boolean |
If force is false, the shutdown order in the vApp is
executed. If force is true, all virtual machines are powered-off
(regardless of shutdown order).
|
Return Value
| Type | Description |
|---|---|
| ManagedObjectReference
to a Task |
Faults
| Type | Description |
|---|---|
| InvalidPowerState | Thrown if the vApp is not running |
| InvalidState | Thrown if the operation cannot be performed because of the vApp's current state. For example, if the vApp is in the process of being started. |
| MissingPowerOffConfiguration | Thrown if no vApp powerOff configuration has been specified. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| TaskInProgress | Thrown if the vApp is busy. |
| VAppConfigFault |
Events
| Type | |
|---|---|
| None |
The virtual machines (or sub vApps) will be started in the order specified in the vApp configuration. If the vApp is suspended (@see vim.VirtualApp.Summary.suspended), all suspended virtual machines will be powered-on based on the defined start-up order.
While a vApp is starting, all power operations performed on sub entities are disabled through the VIM API. They will throw TaskInProgress.
In case of a failure to power-on a virtual machine, the exception from the virtual machine power on is returned, and the power-on sequence will be terminated. In case of a failure, virtual machines that are already started will remain powered-on.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the VirtualApp used to make the method call. |
Return Value
| Type | Description |
|---|---|
| ManagedObjectReference
to a Task |
Faults
| Type | Description |
|---|---|
| FileFault | Thrown if there is a problem accessing the virtual machine on the filesystem. |
| InsufficientResourcesFault | Thrown if this operation would violate a resource usage policy. |
| InvalidPowerState | Thrown if the vApp is already running |
| InvalidState | Thrown if it fails to power on a virtual machine due to no host availability, or unable to access the configuration file of a VM. |
| MissingNetworkIpConfig | Thrown if no network configuration exists for the primary network for the vApp. |
| NotEnoughLicenses | Thrown if there are not enough licenses to power on one or more virtual machines. |
| NotSupported | Thrown if the vApp is marked as a template. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| TaskInProgress | Thrown if the vApp is busy |
| VAppConfigFault | Thrown if a configuration issue on a vApp prevents the power-on. Typically, a more specific fault, MissingPowerOnConfiguration, is thrown. |
| VmConfigFault | Thrown if a configuration issue on the vApp or a virtual machine in the vApp prevents the power-on to complete. Typically, a more specific fault, such as InvalidPropertyType is thrown. |
Events
| Type | |
|---|---|
| None |
Suspends all powered-on virtual machines in a vApp, including virtual machines in child vApps. The virtual machines are suspended in the same order as used for a power-off operation (reverse power-on sequence).
While a vApp is being suspended, all power operations performed on sub entities are disabled through the VIM API. They will throw TaskInProgress.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the VirtualApp used to make the method call. |
Return Value
| Type | Description |
|---|---|
| ManagedObjectReference
to a Task |
Faults
| Type | Description |
|---|---|
| InvalidPowerState | Thrown if the vApp is not running |
| InvalidState | Thrown if the operation cannot be performed because of the vApp's current state. For example, if the vApp is in the process of being started. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| TaskInProgress | Thrown if the vApp is busy. |
| VAppConfigFault |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the VirtualApp used to make the method call. |
Return Value
| Type | Description |
|---|---|
| ManagedObjectReference
to a Task |
Faults
| Type | Description |
|---|---|
| ConcurrentAccess | |
| InvalidPowerState | Thrown if the vApp is running. |
| InvalidState | |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
A VirtualMachine and vApp can be added as a linked child as long as it is not a direct child of another vApp. In case it is a linked child, the existing link is removed and replaced with the new link specified in this call.
An InvalidArgument fault is thrown if a link target is a direct child of another vApp, or if the addition of the link will result in a vApp with a cycle. For example, a vApp cannot be linked to itself.
The removeSet must refer to managed entities that are currently linked children. Otherwise, an InvalidArgument exception is thrown.
For each entity being linked, the operation is subject to the following privilege checks:
Privilege checks for each entity in the removeSet are similar to the entities in the addChangeSet, except that there is no target vApp.
This operation is only transactional with respect to each individual link change. The changes are processed sequentially and committed one at a time. The addChangeSet is processed first, followed by the removeSet. If a failure is detected, then the method terminates with an exception.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the VirtualApp used to make the method call. |
| addChangeSet* | VirtualAppLinkInfo[] |
a set of LinkInfo objects that either add a new link
or modify an exisiting link.
|
| removeSet* | ManagedObjectReference[]
to a ManagedEntity[] |
a set of entities that should no longer link to this vApp.
|
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| ConcurrentAccess | Thrown if a concurrent modification happens while adding the link. |
| InvalidArgument | See above description. |
| NotSupported | Thrown if the target of the link is not in the same datacenter. |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
Events
| Type | |
|---|---|
| None |
Updates in different areas require different privileges. See VAppConfigSpec for a full description.
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the VirtualApp used to make the method call. |
| spec | VAppConfigSpec |
contains the updates to the current configuration. Any set element,
is changed. All values in the spec that is left unset, will not be
modified.
|
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| ConcurrentAccess | Thrown if another operation conflicted with this operation. |
| DuplicateName | |
| FileFault | |
| InsufficientResourcesFault | |
| InvalidArgument | Thrown for wrong input. |
| InvalidDatastore | |
| InvalidIndexArgument | Thrown if a wrong key is used in one of the arrays. For example, for duplicated entries in entityConfig. |
| InvalidName | |
| InvalidPowerState | Thrown if the reconfiguration is not possible given the current powerState of the vApp. |
| InvalidState | |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| TaskInProgress | Thrown if the vApp is busy. |
| VmConfigFault | Thrown for bad configuration, such as invalid property types. |
Events
| Type | |
|---|---|
| None |
| Top of page | Local Properties | Local Methods | |
| Managed Object Types | Data Object Types | All Properties | All Methods |


The Main Character is being pursued, and is now within a room and needs somewhere to hide.  Either way, they need a hiding place, and luckily, somewhere catches their eye.
The pursuer enters the room, looks around, then notices the obvious place to hide or sign of activity. Perhaps some furniture is covered with a dust sheet, or there's a window that shouldn't be open. Perhaps the air vent cover has been mysteriously removed or at least ajar. Either way it's obvious where the character is. And so the pursuer pulls the sheet or looks outside, and finds... no sign of anything.
Meanwhile, the main character is hiding somewhere less obvious, possibly on the ceiling waiting for either a chance to attack, or for the guard to decide that It's Probably Nothing.
Usually, the audience won't see the switch, so will be expecting the main character to be found where the guard is looking.
Compare Fakeout Escape.
Examples:
- Chidori Kaname manages to best professional killer Yu Lan in Full Metal Panic!: The Second Raid by hanging the robe she'd been wearing in a Decoy Hiding Place and then attacking with a stun-gun while Yu Lan was distracted.
- Keiko Yukimura does something similar during the Maze Castle arc of Yu Yu Hakusho with a scarf.
- During part 3 of Jojo's Bizarre Adventure, Polnareff is regressed to a child of less than five years and runs from his pursuer Alessy into a dead-end room. Once said pursuer breaks into the room, he assesses the possible hiding places — under a bucket, inside of a teddy bear, and inside of a clock — by smashing them with his ax. In fact, Polnareff took a mirror from its frame and hid behind it inside of a fish tank. He reveals himself once the enemy has already come close enough to be ambushed.
- Nami does the 'conspicuously open vent' version in the One Piece filler arc G-8. Actually, she's not even hiding—she's pretending to be a nurse, claims the real pirates escaped through the vent, and urges the marines to give chase, all so she can grab Chopper (who is hiding, under the sheet on an occupied examination table), convince the doctor (who had fainted) to let them go, and escape while everyone was distracted.
- One episode of Detective School Q has a man breaking into Megu's home doing this. There's a twist - the decoy hiding place was revealed when Megu noticed that the plates in the china cabinet had been rearranged, something most people wouldn't notice within moments of entering their home, especially when they're worried about a break-in. The fact that the decoy hiding place would only be noticed by someone with a very good memory implied that the thief knew that one of the residents had a photographic memory, which a person robbing a random home wouldn't.

- The VeggieTales movie The Pirates Who Don't Do Anything opens with the Big Bad taking over the ship the Prince and Princess are on. A Mook goes into the cabin to find the princess, sees a green cylinder that looks suspiciously like a leek's foot, draws the curtain away, and... it's a vase. He leaves, and the princess and her butler come out from the trapdoor.
- In Toy Story, Sid looks around his room for Woody and sees an upside-down milk crate where Woody was hiding. He lifts up the crate, expecting to see Woody... but sees nothing, because Woody was Ceiling Clinging onto the milk crate. In a deleted scene, Sid would have found Woody hiding under the milk crate at an earlier point in the movie, which is why it seemed like the obvious hiding spot when Sid was looking for Woody this time.
- When the Russian base is overrun in GoldenEye Natalya runs to the kitchen to hide, but leaves an air vent cover hanging open. The Dragon sees it and smugly shoots up the ducts before leaving. In reality Natalya was hiding in a cupboard.
- In the 2005 The War of the Worlds, the heroes are hiding from an alien probe. The probe sees the tip of Rachel's shoe sticking out from behind a mirror, and moves in for the kill... but the shoe is empty. The heroes have already moved to a new hiding place.
- In Indiana Jones and the Last Crusade, Indy sets off a boat to float down the river. When the Nazis pile into a boat to pursue, he escapes on a motorcycle.
- In Jurassic Park, Lex tricks a velociraptor into charging her reflection in a stainless-steel kitchen counter.
- Done in the The Remake of The Texas Chainsaw Massacre (2003). Leatherface thinks he has found the locker that Erin is hiding in and opens it, only to have her come out of the one behind him with a meat cleaver in hand.
- Mystery Science Theater 3000 target Time Chasers had the main character and his girlfriend throw open a door in a hallway and then quickly scurry out of sight, tricking their (rather stupid) pursuers into running through the wrong hallway.
- Marv's tale sequence in Sin City has him luring Kevin into the woods by hanging his coat on a tree in order to trick him into attacking it while he attacks with an ax from behind.
- In The Sting, Johnny Hooker escapes from a hitman by having the diner waitress go into the bathroom and open the window. He has the hitman chase him into the bathroom and then hides in the bathroom stall with the waitress sitting on his lap (so the hitman can see her shoes under the door). It doesn't help him, because he runs out of the front door of the diner and in the same direction that the hitman had gone. He escapes because the waitress was another assassin and didn't want the hitman to take the target she was setting up. She shoots the hitman and lets Hooker escape, so she can set up a better opportunity to kill him.
- In the climax of Blue Velvet, Jeffrey remembers that Big Bad Frank has a police radio, so while using one he found to alert the actual police, he lies about where he's hiding. Frank falls for it, which gives Jeffrey time to grab a dead man's gun, which he uses when Frank uncovers his actual hiding place.
- In "Pimpernel" Smith (aka Mr. V), Leslie Howard is in a room with the woman he has come to rescue when the Gestapo starts up the stairs. He asks the woman about other exits and she indicates that there is a fire escape outside the window. When the Gestapo men arrive they see a table moved away from the window and a tipped over vase.   The two poke their heads out and Howard said "I'm almost embarrassed to use that old trick. but it almost always works."
- Fargo: When two criminals break into the Lundegaard house to kidnap Jean, she flees into the bathroom and locks the door. The kidnappers break the door and find a seemingly empty bathroom and an open window. Jean is actually hiding in the shower; she only gets caught because one of the kidnappers lingers in the bathroom to disinfect a cut on his hand.
- Discworld:
- In the novel Lords and Ladies, Magrat gets the drop on an elf by tricking it into thinking she's hiding in the garderobe (for those not in the know, it's a sort of medieval lavatory) when she's really hiding under the bed. She kicks him down the garderobe while he's distracted. It's unknown whether this would be fatal to the elf, but you can certainly bet it wasn't pleasant.
- A Double Subversion in Men at Arms: Vimes is hiding behind a wall, and holds his helmet out on a stick so the man with the Gonne will think he's leaning his head out. The man with the Gonne knows it's a trick and aims for Vimes, not knowing that Vimes got a longer stick in case the guy figured it out.
- Used in Eric, when the Odysseus-inspired character of Lavaeolus uses the Tsortean Horse for this purpose. The Tsorteans take in the big wooden horse, see that it's full of air holes, and surround it with spearmen. Then Lavaeolus' small, elite squad sneak in through the secret entrance, which they know about because they got the janitor drunk.
- In the novel Neuromancer, protagonist Case pulls one of these early on. Running to the end of a corridor while being pursued, he kicks one door open, leaving an attention-grabbing distraction. He then pops the latch of a side door as a less-obvious hiding place. He freaks out and gives himself away soon after.
- In The A-Team episode "The Battle of Bel Air", Col. Decker is chasing the A-Team into a sporting goods store and loses them. Decker then sees a mannequin completely covered with winter gear and, well aware of how Hannibal Smith is a Master of Disguise, suspiciously walks around it. Meanwhile, the camera keeps on the mannequin as if to suggest it is Hannibal hiding in plain sight. Suddenly, Decker tackles it, only to learn that it is only a mannequin and the A-Team was really hiding in a nearby tent.
- Col. John Shepherd uses this to great effect to take out various members of an army sneakily invading the base in Stargate Atlantis.
- Blake's 7. An accidental version in "Powerplay". A soldier notices the latches on the hatch to an inspection channel in the floor are raised instead of flush with the hatch. However that's because our heroes were leaving the channel, not entering it.
- In a trailer for Metal Gear Solid 4, two GEKKO chase Snake onto a rooftop, where he finds his favorite stealth device: the Cardboard Box. We then see Robo Cam view as a GEKKO examines the box, then smashes it flat, crushing perfectly good watermelons. The GEKKO give up the search and leave, then a heap of rubble in the corner turns out to be Snake in his new stealth suit.
- In Déjà Vu II, you are at one point captured and stowed into a shack while the baddies leave to decide what to do with you.  When the baddies come back and see the open door, they assume you've fled into the desert and give chase, leaving you ample time to search their hideout for clues.
- The main character of The Adventures of Dr. McNinja uses this on Dracula late in the "Punch Dracula" arc - he sets up a coat on a potted plant just outside the exit, causing the vampire to chase what appears to be the fleeing Doctor outside...allowing the actual doc to get the jump on him.
- In The Order of the Stick, Blackwing the raven pulls this ploy on Qarr the imp, using a shed feather sticking out from behind a pillar.
- Eliza Maza pulls this off to take out one of Xanatos's special forces team in Gargoyles, using her jacket on a branch.
- A Simpsons episode has Bart, Lisa and Maggie hiding from something in what appears to be three conveniently sized vases, only for them to tumble out of the adjacent closet.
- Peter from Family Guy buys a hut and a New York newstand and sets them up in his bedroom just to use this trope. He was in fact hiding in the bathroom.


SimpleBioC¶ ↑
SimpleBioC is a simple parser / builder for BioC data format. BioC is a simple XML format to share text documents and annotations. You can find more information about BioC from the official BioC web site (www.ncbi.nlm.nih.gov/CBBresearch/Dogan/BioC/)
Feature:¶ ↑
-
Parse & convert a BioC document to an object instance compatible to BioC DTD
-
Use plain ruby objects for simplicity
-
Build a BioC document from an object instance
Installation¶ ↑
Add this line to your application's Gemfile:
gem 'simple_bioc'
And then execute:
$ bundle
Or install it yourself as:
$ gem install simple_bioc
Simple Usages¶ ↑
Include library
require 'simple_bioc'
Parse with a file name (path)
collection = SimpleBioC::from_xml(filename)
Traverse & Manipulate Data. Data structure are almost the same as the DTD. Please refer library documents and the BioC DTD.
puts collection.documents[2].passages[0].text
Build XML text from data
puts SimpleBioC::to_xml(collection)
Options¶ ↑
Specify set of <document>s to parse¶ ↑
You can parse only a set of document elements in a large xml document instead of parsing all the document elements. It may decrease the processing time. For example, the following code will return a collection with two documents (“1234”, “4567”).
collection = SimpleBioc::from_xml(filename, {documents: ["1234", "4567"]})
No whitespace in output¶ ↑
By default, outputs of SimpleBioC::to_xml() will be formatted with whitespace. If you do not want this whitespace, you should pass 'save_with' option with 0 to the to_xml() function.
puts SimpleBioC::to_xml(collection, {save_with:0})
Sample¶ ↑
More samples can be found in Samples directory
require 'simple_bioc' # Sample1: parse, traverse, manipulate, and build BioC data require 'simple_bioc' # parse BioC file collection = SimpleBioC.from_xml("../xml/everything.xml") # the returned object contains all the information in the BioC file # traverse & read information collection.documents.each do |document| puts document document.passages.each do |passage| puts passage end end # manipulate doc = SimpleBioC::Document.new(collection) doc.id = "23071747" doc.infons["journal"] = "PLoS One" collection.documents << doc p = SimpleBioC::Passage.new(doc) p.offset = 0 p.text = "TRIP database 2.0: a manually curated information hub for accessing TRP channel interaction network." p.infons["type"] = "title" doc.passages << p # build BioC document from data xml = SimpleBioC.to_xml(collection) puts xml
Contributing¶ ↑
-
Fork it
-
Create your feature branch (
git checkout -b my-new-feature
) -
Commit your changes (
git commit -am 'Add some feature'
) -
Push to the branch (
git push origin my-new-feature
) -
Create new Pull Request
LICENSE¶ ↑
Copyright © 2013, Dongseop Kwon
Released under the MIT License.


The DELETE statement is used to delete existing records in a table.
DELETE Syntax
DELETE FROM table_name WHERE condition;
Demo Database
Below is a selection from the "Customers" table in the Northwind sample database:
The following SQL statement deletes the customer "Alfreds Futterkiste" from the "Customers" table:
Example:DELETE FROM Customers WHERE CustomerName='Alfreds Futterkiste';
The "Customers" table will now look like this:
It is possible to delete all rows in a table without deleting the table. This means that the table structure, attributes, and indexes will be intact:
ExampleDELETE FROM table_name;
The following SQL statement deletes all rows in the "Customers" table, without deleting the table:
ExampleDELETE FROM Customers;


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Before Change
G_z1 = Gm.forward(z1_stop)
x2 = y2 - G_z1
x2_stop = Variable(x2.data, requires_grad=True)
F_x2 = Fm.forward(x2_stop)
x1 = y1 - F_x2
x1_stop = Variable(x1.data, requires_grad=True)
// Compute outputs building a sub-graph
z1 = x1_stop + F_x2
y2_ = x2_stop + G_z1
y1_ = z1
// Perform full backward pass on graph...
y = torch.cat([y1_, y2_], dim=1)
dd = torch.autograd.grad(y, (x1_stop, x2_stop) + tuple(Gm.parameters()) + tuple(Fm.parameters()), grad_output, retain_graph=False)
GWeights = [p for p in Gm.parameters()]
GWgrads = dd[2:2+len(GWeights)]
FWgrads = dd[2+len(GWeights):]
After Change
GWeights = [p for p in Gm.parameters()]
x2 = y2 - Gm.forward(z1_stop)
x1 = y1 - Fm.forward(x2)
x_stop = Variable(torch.cat([x1, x2], dim=1).data, requires_grad=True)
// compute outputs building a sub-graph
x1_, x2_ = torch.chunk(x_stop, chunks=2, dim=1)
y1_ = x1_ + Fm.forward(x2_)
y2_ = x2_ + Gm.forward(y1_)
y = torch.cat([y1_, y2_], dim=1)


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/rewrite.20only.20first.20occurrence.3F.html ---
Hi all. In tactics mode, how do I say rewrite th1 but please do it only on the first occurence k thx
? Thanks a lot
you can do it with conv
, but I would like to see a use case first
More concretely, I want to change n = n + 1
into n + 0 = n + 1
. If I use the proof n = n + 0
, rw will change it into n + 0 = n + 0 + 1
:(
example (n : ℕ) : n = n + 1 := begin conv {to_lhs, rw ← add_zero n}, end
it's not changing the first occurrence, but it is rewriting only on the lhs of the equality
which achieves the same effect
@Mario Carneiro thanks. What about the case where I want to change a hypothesis h
, not the goal? In rw we say rw th1 at h
at h
still works
example (n : ℕ) (h : n = n + 1) : true := begin conv at h {to_lhs, rw ← add_zero n}, end
it goes on the conv
because that's the part that figures out where to work
Ahh I see! I tried writing at h
at the end of the sentence so it didn't work. Thanks a lot!
if you mouse over the conv
it should print conv (at id)? (in expr)? { tactic }
which shows the correct order of use
cool! I used it for solving this: http://wwwf.imperial.ac.uk/~buzzard/xena/natural_number_game/
rw ← add_one_eq_succ, assume h, conv at h {to_lhs, rw ← add_zero n}, have h2 := add_left_cancel _ _ _ h, apply zero_ne_succ 0, rw ← one_eq_succ_zero, exact h2,
what's the theorem?
the natural number game says what theorem you are proving just outside the text box, you need that if you want to quote the theorem outside the game (and some more besides that, depending on how advanced the theorem is, you might have your own definitions and such to rely on)
it's always best to post complete examples here in chat so we can test your work
Mario surely you can work out the theorem from the proof :-)
Is that reverse mathematics?
Hm, it's a bit complicated because you made up all the theorem names, but this prelude does the job:
import data.nat.basic namespace mynat open nat theorem add_one_eq_succ (n : ℕ) : n + 1 = nat.succ n := rfl theorem add_left_cancel (a b c : ℕ) : a + b = a + c → b = c := add_left_cancel theorem zero_ne_succ (n : ℕ) : 0 ≠ succ n. theorem one_eq_succ_zero : 1 = succ 0 := rfl example (n : ℕ) : n ≠ succ n := begin rw ← add_one_eq_succ, assume h, conv at h {to_lhs, rw ← add_zero n}, have h2 := add_left_cancel _ _ _ h, apply zero_ne_succ 0, rw ← one_eq_succ_zero, exact h2, end end mynat
and golfed:
example (n : ℕ) : n ≠ succ n := begin exact λ h, zero_ne_succ 0 (add_left_cancel n 0 1 h) end
the best tactic proof is a term proof :P
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


| goog.fx.DragListGroupEvent |
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type
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The event type string.
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dragListGroup
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A reference to the associated DragListGroup object.
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event
:
The event fired by the browser or fired by the dragger.
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currDragItem
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The current drag item being moved.
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draggerEl
:
The clone of the current drag item that's actually being dragged around.
|
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dragger
:
The dragger object.
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|
opt_draggerElCenter
: goog.math.Coordinate=
The current center position of the draggerEl.
|
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opt_hoverList
: Element=
The current drag list that's being hovered over, or null if the center of draggerEl is outside of any drag lists. If not null and the drag action ends right now, then currDragItem will end up in this list.
|
|
opt_hoverNextItem
: Element=
The current next item in the hoverList that the draggerEl is hovering over. (I.e. If the drag action ends right now, then this item would become the next item after the new location of currDragItem.) May be null if not applicable or if currDragItem would be added to the end of hoverList.
|


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Music Production Tips part. I
Besides being a developer, I make music. I write and record a lot of stuff, and from time to time it happens to work.
Even though my music never got that much attention, I regulary receive messages of people asking me details on the gear and the techniques I use to record. So I thought I could write a few articles about that. I'm not even sure they will actually be several articles yet.
They are by no means supposed to be tutorials. Everything I do, I do it from stuff I've learned reading books on recording / mixing / mastering, and from a lot of experimentation - and I probably do stuff I shouldn't be doing. It will be more about the methods I use and that seems to work. I will start with general infos on my setup and what I do, then I might go into more details for differents parts in future articles. We'll see!
Home "studio"
I started recording music pretty much as soon as I started playing guitar. After months on a cheap acoustic guitar, I got an electric guitar and a 15w marshall amp. Almost immediatly I tried recording myself. When I think about what I was using back then, that was ridiculous. I had a pc running windows xp, where I plugged the marshall amp from the headphones' out to the computer mic input.
 I recorded on a demo of a crappy software. The demo was limitated to 4 tracks. To overcome this limit, I used the "ping pong" technic: basically you record 3 tracks, then mix them in one track. And bam, you have 2 other tracks. You can do that until you're done, or more often until it sounds like shit because you can't undo what you did.
So that was the initial setup. I lost everything I've recorded back then, but believe me it wasn't good. The sound was bad, and I was a bad guitar player.
I then got more gear: a line 6 interface, Ableton live, and later an iMac. I've used this setup for years, and recorded several albums with that. For the drums I first got Easy Drummer 1 from Toontrack, then Superior Drummer. All the albums I've released are made with this.
Then, as I was playing in band, I got a real amp: a Laboga Mr. Hector.  I bought a couple of mics (shure SM57 and shure SM7b) and recorded it. You can say whatever you want about modelisation and Axe FX and Pod HD Pro, but for me nothing is better than real warm tubes. I would set the amp in my bedroom, mics positionned carefully and cover the whole thing with blankets to avoid reflections on the recording. And obviously I put sticky notes everywhere to make sure nobody would touch a thing to prevent loosing the precious mic positions.
I was pretty happy with the sound I got with that. I've recorded a few songs (shred stuffs) and used this setup to record a couple of EP for friends (Yurakane and Hrethgir even though the last never saw the light of the day sadly). I also recorded bass with the sm7b and the direct out from a few bass amps: Ampeg and Mark Bass. Surprisingly good sound (but I know good bassists so it probably helps).
But then I moved to Paris. And going from a 300m2 house to a tiny appartement, I couldn't keep recording with a 100w amp. So I bought a Line 6 Pod HD Pro. So nowadays my setup is pretty basic:
- iMac with Ableton Live
- Superior Drummer for Drums
- and Pod HD Pro for guitars
I also have a full battery of VSTs, Izotope plugins for mixing/mastering, Waves for mixing (and a guitar amp stuff that I often use for clean sound) and a bunch of virtual instruments when I need orchestra stuff.
Current home studio setup
Global sound
I have a basic session that I use as a boilerplate to record or compose pretty much everything. I've set it as default session in Live so in a few seconds I have everything I need to start working.
It's composed of groups with several tracks in them:
- Drums
- Superior Drummer 2 (+ Metal Foundry with a custom set)
- Kick drum from Superior Drummer - different output for different post processing
- Kick drum - external sample synced with SD.
I use a second kick sample because I don't really like the SD sounds. They are a bit too boomy, too "real". So I use another one really clicky. The two mixed together gives me what I like.
I also use a return tracks for a parallel compression. I am not going to go in details on what it is, but to explain quickly, you use a dry track and add another track and compress the crap out of it. Then you mix the two. This way you get a compressed sound but keep more dynamic than if you would have just compressed one track. You can learn more here or google around.
- Guitars
- 2 tracks (left/right)
- 2 other tracks (left/right) with a lower volume.
Like for the kick drum, I don't have one guitar sound that I find perfect. So I like to record four tracks with 2 different sounds. One more high frequency, and the other more low-mids bass.
And that's it, at least when I write songs. I often add leads or clean tracks when I need some. I pretty much always record guitars in stereos (2 tracks). Also when composing I want to focus on writing stuff and not mixing, so I use a soft compression and a limiter on the master to even everything a little bit.
Stack everything
One of the basic thing I've learned over the time is not to be afraid to stack sounds. At first I was trying to get the best of one snare, one kick, one guitar sound. But sometimes it works to just use two sounds (or more) that will complement each other.
As described above I use two kick sounds. In my SD preset there are two different snares, and I sometimes use another one, an external sample from Andy Sneap. Sadly there are no dynamic, only one sample, but holy cow, that attack. For guitar I also use four tracks, and often use 4 or more tracks on clean guitars.
To be continued?
So here is a basic description of how I write and record music. Even though it's not specific and there are no revelead secrets, I think it can show that you can have a decent sound with no so much gear (my current setup must cost around 4000€ for everything new - from monitoring to amp without the prices of guitars, which might seem a lot but I got everything through several years).
The most important is to learn how the tools work: read specialized books to learn and understand the basic and necessary knowledge about recording/mixing, and above that, experiment. Even though there are rules and best practices, it's the same for everything: you can break the rules and sometimes good results can come out of experimentations, and even from errors.


Learning PWA: Push
This is a simple app that demonstrates many of the parts of the browser Push Notifications process.
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{% extends "admin/change_form.html" %} {% load i18n %} {% block breadcrumbs %}
{% blocktrans count new_folder_form.errors|length as counter %}Please correct the error below.{% plural %}Please correct the errors below.{% endblocktrans %}


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Open source, MIT license


An Analysis of Politically Biased News
Home
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ObjectType
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Saturdays and Sundays from 10AM to 3PM
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You Have Been Engineered as an Alpha
Class Level: Highest
Childhood Conditioning: None
Education Level: High
-pick a job-
world controller
scientist


Welcome to Kitten Adobtion Mania!
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Meet Mr.Magic! He is a wonderful older male cat that has looks to slay the coldest heart in town.
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Visualization Two
Sentiment Analysis
Compares the sentiment analysis of Credible and Not-Credible articles of the corpus. The bar graph shows the average percentage of positive, negative and neutral number of words in the articles, the graph shows that Not Credible articles on average have more positive and negative words but less neutral words.
The line graph shows the distribution of the compound values for Credible and Not-Credible articles, the distribution shows that the percentage of Credible articles with compound around zero is higher than Not-Credible articles.
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Members
CW_Constants
Offering advice for "website" tests
These tests will be a little more complicated than "local"
- Source:
CW_Constants
Offering advice for "website" tests
These tests will be a little more complicated than "local"
- Source:
CW_Constants
A convenience wrapper to abstract code from Promise input parameters
The PromiseResolver handles all rejections and allows callers to to turn rejections into resolvable messages
- Source:
(constant) CW_Network
Convenience class for running commands
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Dear friend, My name is Mr. Fredrick Andrew. I trained and work as an external auditor for the Development Bank of Singapore (DBS) of Singapore. I have taken pains to find your contact through personal endeavours because a late investor,who bears the same last name with you has left monies totaling a little over $10 million United States Dollars with Our Bank for the past twelve years and no next of kin has come forward all these years. Banking regulation legislation in Singapore demand that I notify the fiscal authorities after a statutory time period of twelve years when dormant accounts of this type are called in by the monetary regulatory bodies. The above set of facts underscores my reason of writing.I am of the settled conviction that using my insider leverage, working with you,since you have the same last Name with the Late Investor, we can secure the funds in the account for us instead of allowing it pass as unclaimed funds into the coffers of the Government of Singapore. This exactly is why I crave your participation and cooperation. I have seized all relevant information (legal and Banking) that will facilitate our putting you forward as the claimant/beneficiary of the funds and ultimately transfer the money to any account nominated by you. Be assured that I and my colleagues are on top of the situation all the time and there will be no risk . Needless to say, Uttermost CONFIDENTIALITY is of vital importance if we are to successfully reap the immense benefits of this transaction. I have intentionally left out the finer details for now until I hear from you. To affirm your willingness and cooperation to my proposal please do so by email, stating your full names, date of birth, telephone number and fax number. I do expect your prompt response. Thank you. Mr. Fredrick


(probability %) age: 42
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This is the user dashboard that will provide you with visualization tools for your data.
The box below will give you live heart-rate data, while the dropdown list will allow you to choose which data points are charted.
Please find the login button above that will allow you to chart your data.


class Animation:
Adds simple way to create gif animations
Usage:
anim = Animation('out.gif') for i in range(10): with anim.add_frame(): plt.plot(...) anim.save()
| Method | __init__ |
Undocumented |
| Method | add_frame |
Undocumented |
| Method | save |
Undocumented |
| Instance Variable | _filename |
Undocumented |
| Instance Variable | _duration |
Undocumented |
| Instance Variable | _size |
Undocumented |
| Instance Variable | _frame_idx |
Undocumented |
| Instance Variable | __tmp_dir |
Undocumented |


Smoke It! Part 2
by Matt
The smokehouse is officially finished. Last weekend I put the finishing touches on it, laying about 1,000 pounds of gravel over the site I dug out of the hillside almost two months ago. I also built a small retaining wall from landscaping timbers to keep the higher end of the grade cut from washing onto the foundation.
But now to return to where we left off from Part 1…. We had yet to remove the forms from the concrete firebox, and I’ll confess we were a little anxious about one of the sides. A form board broke apart from the frame as we were pouring in concrete but we managed to secure it and mostly return it to its original position with clamps and screws. In any case, the whole thing turned out pretty well. Jason did an especially good job building the forms to accomodate the door opening in the front. This turned out perfectly square and easy enough to mount a door frame to.
We had originally planned to cut the door from a rusting bucket loader attachment that used to go on a tractor, for which we now have no need. Jason brought a plasma cutter for the job, but we ran out of time before he had to head back home. Lacking a plasma cutter or oxy-acetylene torch, I opted to try it with a cut wheel on my angle grinder. After using up about five 4 1/2 inch discs, I finally got the job done.
Next, I thought I’d use some angle iron we had lying around here to build the frame on which to attach the door. Since all the dimensions involved were right angles, this seemed easy enough. I cut the angle iron to length to build a frame that would fit inside the concrete doorway, and then cut corner joints from the angle iron to connect the four sections of frame.
For this, I fired up the arc welder and lap-welded the corner joints to each inside corner of the frame. Then I cut some more angle iron to attach to the vertical sections of the frame to make a kind of slide holder for the door and welded these on. Finally I welded a couple pieces of rebar to the bottom of the frame. The idea here was to have these project into the (yet-to-be-poured concrete) floor and anchor the door frame.
The door itself, cut from the plate steel of the bucket loader, turned out to be a whole lot less than flat, as one would well imagine from years of use with a tractor. I didn’t figure this would be too much of a problem, but it didn’t seem like we were going to get much of an air-tight seal on the door, either. I bent a piece of rebar and then welded that onto the plate to form a curved handle at the top, to pull the door up in the sliding frame.
The floor was fairly easy to pour. Tasha helped mix the concrete and it only took three or four bags to lay a 4-5 inch foundation in the bottom of the firebox. Now all we had to do was lift the (very heavy) lid onto the firebox. This took a while, if only to get enough people together to lift the thing. In the meantime, I decided to paint… I painted the firebox with concrete primer, which didn’t seem to do much, and then applied a couple coats of sand-based masonry paint, which did a lot. For the smokehouse itself, we decided on white barn paint with black trim, to match the color scheme of our chicken coop. I hate painting, but after a couple of coats applied over a couple of evenings, I was happy with the result. So finally, on to the lid.
With some help from Tasha and our neighbor Donnie and his daughter Emma, we got the lid positioned on top of the firebox. It was heavy, but once in place it wasn’t too hard to shift around on top so it sat evenly on the four corners of the firebox. Jason had wisely built the form for the lid about four inches wider than the firebox on both the front and back and sides. This allowed the lid to overhang the box a bit, making it easier to position without crushing fingers and definitely easier to seal.
 I used some damp straw which I knew would generate a lot of smoke. As soon as the straw started burning, I notieced most of the smoke was coming out the top, in the spaces between the walls of the firebox and the lid. We knew this would happen, so I got some chimney cement left over from installing the hot tub chimney and proceeded to seal the leaks. With this done, smoke was getting to the smokehouse, though it seemed like a lot was leaking from the door, which sits a bit looslely in the frame. To remedy this, I bought some steel plate strips which I’ll weld to the front of the door to push it more snugly into contact with the frame where it slides in place.
Anyway, at the end of it all, we have a working smokehouse. I plan on testing it some more with an actual wood fire once I make the modifications to the door. If necessary, I’ll install a fan up top near the vents or use a vacuum cleaner motor to help draw the smoke in. We’re planning on slaughtering our meat ducks in a few weeks, so I hope to have the kinks worked out by then, but that’ll be another blog post. Till then…
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05 Jun 2013
Absolute.js for JaggeryJS
The objective of absolute.js is to handle front-end development work with simplicity and conventions inside jaggeryJS. So let’s get to the facts quick.
Simple Configuration
First we have to redirect all the requests from jaggery configuration file to a jag file.
 Also note that defaults are handled inside absolute.js.
Now absolute.js is ready for request processing.
Conventions
First we have to look into the folder layout -
The concept of mvc is simple. We have a model, a view and a controller. In our example app we haven’t followed a model approach to data (Note: This is also very simple since JSON and database library bridge exists in jaggery).
A Request procedure
The request comes to the absolute.js module. If the requst URI is - ’/publisher/console/list’
* '/publisher' is the context of the app
* '/console' is the controller
* '/list' is the view
Controllers are contained in the controller folder of the context application. The controller is created with the same name. Inside the controller it will have a function named after the view. absolute.js will execute this function and the return json object will be provided to the template engine.
I am currently working on the layout and partials handling inside absolute.js.
Note:- Initial credit of the idea of building a simple mvc framework for jaggery goes to Dilan
Till next time mate,
Dulitha
at 10:53


the content of h1
the content of h2
first link
second link
section content
first article header
first article
second article


2020-03-09 07:54:08 outer while loop
^C
Traceback (most recent call last):
File "PooDetector/capture_camera.py", line 62, in <module>
sleep_time:Param('seconds to sleep between captures', float)=0.25):
File "/home/wilhelm/miniconda3/envs/PooDetector/lib/python3.7/site-packages/fastscript/fastscript.py", line 43, in call_parse
if mod.__name__=="__main__": return _f()
File "/home/wilhelm/miniconda3/envs/PooDetector/lib/python3.7/site-packages/fastscript/fastscript.py", line 42, in _f
func(**args.__dict__)
File "PooDetector/capture_camera.py", line 93, in capture
ret, pic = cap.read()
KeyboardInterrupt


CSS Filter Effects | Webdevtrick.com
100%
brightness
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contrast
100%
saturate
0%
grayscale
0%
invert
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hue rotate
0px
blur
100%
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reset