0219 GHTK Interior Office / iplus Architecture
- Curated by María Francisca González
- 1 day
- version="1.0" encoding="UTF-8"? Architects: iplus Architecture
- AreaArea of this architecture projectArea: 670.0 m2
- version="1.0" encoding="UTF-8"?YearCompletion year of this architecture project Year: 2019
- version="1.0" encoding="UTF-8"?PhotographsPhotographs: Hoang Le
- version="1.0" encoding="UTF-8"?ManufacturersBrands with products used in this architecture project Manufacturers: Inneri interior, Nam Thanh
- Lead Architect Phuong Thao Dao
- Collaborators Thanh Hai Le, Quang Quyen Trieu, Ngoc Hoa Nguyen
More Specs Less Specs
Text description provided by the architects. Background information
Our client is Giao Hang Tiet Kiem., JSC, a grown start-up delivery company found in 2012 with core values as “fast, flexible and friendly”. The project’s scope covers interiors design and accomplishment on a given rough building with brief background as follows:
- Total interior plain area premises: 4,675 square meters
- Number of floor: 11 (including 01 lobby, 09 for working and 01 for complex utility)
- The building’s direction: North East with 03 open sides
- The investor’s identity color: dark green
Project highlights
As the very first approach to this stand-alone building, local mini-bamboo tree is applied along the two sides of the lobby to filter away the strong sunlight that maintained throughout the daytime. The bamboo green is naturally peaceful and quite fundamental to the local living so that easily creates engagement and a contrast effect against the hot and dusty street outside.
In addition, polished concrete is selected for flooring thanks to its rough surface and eyes-comforted grey tone. For some decades, the cement flooring has been used popularly in the country before being replaced by ceramic materials, thus such reapplication is one way back to the good memories and, together with the tropical green trees, accomplishing the background of local identity to enable a hidden connection with the building’s people which mostly the drivers and office staffs.
The waving shadow can be seen on the floor while sunlight slipping through the bamboo in the morning and also sunset time. Large space is divided with various domes, inspired by the bamboo pipe structure, that on one side scoping down the focuses and on the other, taking in the eyes the details to open another space. To ensure the consistency of natural concept, white plain light is used as a support in the lobby.
For balancing against the static effects brought by the grey floor and big domes, a number of irregular flowing structures are specifically designed for the lobby including oasis seating, ceiling and tree pots. The master tone for all moving lines is natural wooden color from oak and rattan with a little bit fading effect starting at the side-doors heading to the center reception. The winding stairs from pure copper was coated by our own process for insulation and oxygen-free but still retain the original color of copper to make it the space’s spotlight.


public class BasicSplitPaneUI.BasicHorizontalLayoutManager extends Object implements LayoutManager2
| Modifier and Type | Field and Description |
|---|---|
protected Component[] |
components |
protected int[] |
sizes |
| Modifier and Type | Method and Description |
|---|---|
void |
addLayoutComponent(Component comp,
Object constraints)
Adds the specified component to the layout, using the specified
constraint object.
|
void |
addLayoutComponent(String place,
Component component)
Adds the component at place.
|
protected int |
getAvailableSize(Dimension containerSize,
Insets insets)
Returns the available width based on the container size and
Insets.
|
protected int |
getInitialLocation(Insets insets)
Returns the left inset, unless the Insets are null in which case
0 is returned.
|
float |
getLayoutAlignmentX(Container target)
Returns the alignment along the x axis.
|
float |
getLayoutAlignmentY(Container target)
Returns the alignment along the y axis.
|
protected int |
getPreferredSizeOfComponent(Component c)
Returns the width of the passed in Components preferred size.
|
protected int |
getSizeOfComponent(Component c)
Returns the width of the passed in component.
|
protected int[] |
getSizes()
Returns the sizes of the components.
|
void |
invalidateLayout(Container c)
Does nothing.
|
void |
layoutContainer(Container container)
Does the actual layout.
|
Dimension |
maximumLayoutSize(Container target)
Returns the maximum layout size, which is Integer.MAX_VALUE
in both directions.
|
Dimension |
minimumLayoutSize(Container container)
Returns the minimum size needed to contain the children.
|
Dimension |
preferredLayoutSize(Container container)
Returns the preferred size needed to contain the children.
|
void |
removeLayoutComponent(Component component)
Removes the specified component from our knowledge.
|
protected void |
resetSizeAt(int index)
Resets the size of the Component at the passed in location.
|
void |
resetToPreferredSizes()
Marks the receiver so that the next time this instance is
laid out it'll ask for the preferred sizes.
|
protected void |
setComponentToSize(Component c,
int size,
int location,
Insets insets,
Dimension containerSize)
Sets the width of the component c to be size, placing its
x location at location, y to the insets.top and height
to the containersize.height less the top and bottom insets.
|
protected void |
setSizes(int[] newSizes)
Sets the sizes to
newSizes . |
protected void |
updateComponents()
Determines the components.
|
protected int[] sizes
protected Component[] components
public void layoutContainer(Container container)
layoutContainer
in interface LayoutManager
container
- the container to be laid outpublic void addLayoutComponent(String place, Component component)
addLayoutComponent
in interface LayoutManager
place
- the string to be associated with the componentcomponent
- the component to be addedpublic Dimension minimumLayoutSize(Container container)
minimumLayoutSize
in interface LayoutManager
container
- the component to be laid outLayoutManager.preferredLayoutSize(java.awt.Container)
public Dimension preferredLayoutSize(Container container)
preferredLayoutSize
in interface LayoutManager
container
- the container to be laid outLayoutManager.minimumLayoutSize(java.awt.Container)
public void removeLayoutComponent(Component component)
removeLayoutComponent
in interface LayoutManager
component
- the component to be removedpublic void addLayoutComponent(Component comp, Object constraints)
addLayoutComponent
in interface LayoutManager2
comp
- the component to be addedconstraints
- where/how the component is added to the layout.public float getLayoutAlignmentX(Container target)
getLayoutAlignmentX
in interface LayoutManager2
public float getLayoutAlignmentY(Container target)
getLayoutAlignmentY
in interface LayoutManager2
public void invalidateLayout(Container c)
invalidateLayout
in interface LayoutManager2
public Dimension maximumLayoutSize(Container target)
maximumLayoutSize
in interface LayoutManager2
Component.getMaximumSize()
,
LayoutManager
public void resetToPreferredSizes()
protected void resetSizeAt(int index)
protected void setSizes(int[] newSizes)
newSizes
.protected int[] getSizes()
protected int getPreferredSizeOfComponent(Component c)
protected int getSizeOfComponent(Component c)
protected int getAvailableSize(Dimension containerSize, Insets insets)
protected int getInitialLocation(Insets insets)
protected void setComponentToSize(Component c, int size, int location, Insets insets, Dimension containerSize)
protected void updateComponents()
Submit a bug or feature
For further API reference and developer documentation, see Java SE Documentation. That documentation contains more detailed, developer-targeted descriptions, with conceptual overviews, definitions of terms, workarounds, and working code examples.
Copyright © 1993, 2015, Oracle and/or its affiliates. All rights reserved.


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The Super Epic
ROCK, PAPER, SCISSORS
Game!!!
0
0
0
0
0
Mute
This is a game about guessing which player - Left or Right, is going to win the next round of Rock, Paper, Scissors. The 'Z' key is left win, the 'C' key is right win, and the 'X' key is tie. Good Luck!


Move the mouse over a button inside the tabbed menu:
London is the capital city of England.
Paris is the capital of France.
Tokyo is the capital of Japan.


Class ClanMember
Assembly: ClashOfClans.Models.dll
Syntax
public class ClanMember : Identity
Properties
|
Improve this Doc
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BuilderBaseLeague
Declaration
public BuilderBaseLeague BuilderBaseLeague { get; set; }
Property Value
|
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BuilderBaseTrophies
Declaration
public int BuilderBaseTrophies { get; set; }
Property Value
|
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ClanRank
Declaration
public int ClanRank { get; set; }
Property Value
|
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Donations
Declaration
public int Donations { get; set; }
Property Value
|
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DonationsReceived
Declaration
public int DonationsReceived { get; set; }
Property Value
|
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ExpLevel
Declaration
public int ExpLevel { get; set; }
Property Value
|
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League
Declaration
public League League { get; set; }
Property Value
|
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PlayerHouse
Declaration
public PlayerHouse PlayerHouse { get; set; }
Property Value
|
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PreviousClanRank
Declaration
public int PreviousClanRank { get; set; }
Property Value
|
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Role
Declaration
public Role Role { get; set; }
Property Value
|
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Trophies
Declaration
public int Trophies { get; set; }
Property Value
|
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VersusTrophies
Declaration
public int VersusTrophies { get; set; }
Property Value


Interface for BuildStateMachine
More...
◆ CurrentFeaturePointOffset
| Vector3 IBuildStateMachine.CurrentFeaturePointOffset |
|
getset |
The current session's feature point offset. This is important for the BuildObserveState as there are no gameobjects for the feature points. It's cached here to enable the CenterTrackTool.
◆ CurrentTrackData
| TrackData IBuildStateMachine.CurrentTrackData |
|
getset |
The current session's trackdata.
◆ ReturnToPreviousStateFlag
| bool IBuildStateMachine.ReturnToPreviousStateFlag |
|
getset |
◆ m_touchDetected
Gets fired when a touch input was detected.
The documentation for this interface was generated from the following file:


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| < Day Day Up > |
7.2 Starting the SearchOnce we have simplified the search area so that it's made up of a reasonable number of nodes, we are ready to begin the search. We will use the A* algorithm to find the shortest path between any two nodes. In this example, we will use a small tiled environment. Each tile will be a node in the search area and some nodes will contain obstacles. We will use the A* algorithm to find the shortest path while avoiding the obstacles. Example 7-1 shows the basic algorithm we will follow. Example 7-1. Example 7-1. A* pseudo codeadd the starting node to the open list while the open list is not empty { current node=node from open list with the lowest cost if current node = goal node then path complete else move current node to the closed list examine each node adjacent to the current node for each adjacent node if it isn't on the open list and isn't on the closed list and it isn't an obstacle then move it to open list and calculate cost } Some of the particulars of the pseudo code shown in Example 7-1 might seem a little foreign, but they will become clear as we begin stepping through the algorithm. Figure 7-3 shows the tiled search area that we will use. The starting point will be the spider near the center. The desired destination will be the human character. The solid black squares represent wall obstacles, while the white squares represent areas the spider can walk on. Figure 7-3. Creating a tiled search areaLike any pathfinding algorithm, A* will find a path between a starting node and an ending node. It accomplishes this by starting the search at the starting node and then branching out to the surrounding nodes. In the case of this example, it will begin at the starting tile and then spread to the adjacent tiles. This branching out to adjacent tiles continues until we reach the destination node. However, before we start this branching search technique, we need a way to keep track of which tiles need to be searched. This is typically called the open list when using the A* algorithm. We begin with just one node in the open list. This is the starting node. We will add more nodes to the open list later. (Note, we'll use the terms nodes and tiles interchangeably when referring to tiled environments.) Once we have built the open list, we traverse it and search the tiles adjacent to each tile on the list. The idea is to look at each adjacent tile and determine if it is a valid tile for the path. We basically are checking to see if the adjacent tiles can be walked on by a game character. For example, a road tile would be valid, whereas a wall tile probably would not be valid. We proceed to check each of the eight adjacent tiles and then add each valid tile to the open list. If a tile contains an obstacle, we simply ignore it. It doesn't get added to the open list. Figure 7-4 shows the tiles adjacent to the initial location that need to be checked. Figure 7-4. Adjacent tiles to considerIn addition to the open list, the A* algorithm also maintains a closed list. The closed list contains the tiles that already were checked and no longer need to be examined. We essentially add a tile to the closed list once all its adjacent tiles have been checked. As Figure 7-5 shows, we have checked each tile adjacent to the starting tile, so the starting tile can be added to the closed list. Figure 7-5. Moving the starting tile to the closed listSo, as Figure 7-5 shows, the end result is that we now have eight new tiles added to the open list and one tile removed from the open list. The description so far shows the basic iteration through a main A* loop; however, we need to track some additional information. We need some way to link the tiles together. The open list maintains a list of adjacent tiles that a character can walk on, but we also need to know how the adjacent tiles link together. We do this by tracking the parent tile of each tile in the open list. A tile's parent is the single tile that the character steps from to get to its current location. As Figure 7-6 shows, on the first iteration through the loop, each tile will point to the starting tile as its parent. Figure 7-6. Linking to the parentsUltimately we will use the parent links to trace a path back to the starting tile once we finally reach the destination. However, we still need to go through a series of additional iterations before we reach the destination. At this point we begin the process again. We now have to choose a new tile to check from the open list. On the first iteration we had only a single tile on the open list. We now have eight tiles on the open list. The trick now is to determine which member of the open list to check. We determine this by applying a score to each tile. |
| < Day Day Up > |


Shift FAQ
How will future ECMAScript versions be supported?
A new version of the Shift specification will be released shortly after the release of the next ECMAScript document. Shift ASTs that conform to earlier versions of the Shift specification may not conform to the most recent version of the Shift specification.
Is the Shift AST available in non-ECMAScript environments?
Nothing about the Shift AST specification requires implementations to be written in ECMAScript. The ECMAScript and Java implementations of many tools based on the Shift AST specification are maintained by Shape Security, with occasional contributions from the community. Shift-based tools have been created for Haskell and Go.
How should I contribute to the Shift projects?
To contribute to one of the ECMAScript implementations, please follow these steps.
- Open a Github issue with a description of your desired change. If one exists already, leave a message stating that you are working on it with the date you expect it to be complete.
- Fork the repo, and clone the forked repo.
-
Install dependencies with
npm install
. -
Build and test in your environment with
npm run build && npm test
. - Create a feature branch. Make your changes. Add tests.
-
Build and test in your environment with
npm run build && npm test
. - Make a commit that includes the text "fixes #XX" where XX is the Github issue.
- Open a Pull Request on Github.


Spiral Architecture - part 1
In this post we will start to describe a framework for image processing with hexagonal pixels introduced by Sheridan1.
Cones and rods in the retina of mammals are distributed on an honeycomb lattice, which can be represented using hexagonal pixels. This representation yields many advantages in image processing. For example,
- Less pixels are needed to represent images with a given resolution (87% of the square ones required to discriminate at a given accuracy),
- Each pixel is at the same distance from its neighbors,
- Curves are more naturally represented, reducing the need of anti-aliasing procedures,
- While on a square grid only 4 rotations (those of multiples of 90 degrees) can be exactly represented, in an hexagonal grid 6 rotations are at our disposal.
This said, there are some problems to overcome in order to exploit these advantages:
- Conversion: Images are usually represented on square grids, so we need to convert them (possibly with a loss of resolution),
- Representation: While images on square grids are naturally represented as matrices, for hexagonal grids an appropriate indexing system and associated data structure have to be chosen.
Conversion: Pseudo-hexagonal pixels
Simple computations show that, for a given resolution, an hexagonal pixel has to be bigger than a square one with a ratio $\sqrt{3}/2 \sim 0,866$.
A quite efficient way of simulate this fact2 is to oversample this image by a factor of $7$. This can be achieved by splitting each square pixel in a grid of 7x7 elementary pixels with identical values. Then, an hexagonal pixel will be represented as an hyperpel, that is, a collection of 56 elementary pixels arranged in an almost-hexagonal way. The value of an hyperpel will then be obtained averaging the value of the composing elementary pixels. The fact that 56 elementary pixels form an hyperpel while 49 form a square pixel yield a good approximation of the correct ratio: $49/56\asymp 0,875$.
Various hyperpel have been devised, we will consider the following one:
o o x x x x x o o
o x x x x x x x o
o x x x x x x x o
x x x x x x x x x
x x x x x x x x x
o x x x x x x x o
o x x x x x x x o
o o x x x x x o o
This procedure has the advantage that, when it is required to visualize the image, there is no need to do any conversion. Moreover, the evaluation of the hyperpels values can be done only when needed, which reduces the preprocessing time. However, the space required to store the oversampled image increases by a factor of 49, effectively making too expensive the use of this method on high resolution images.
A simple Python function for the oversampling procedure is the following:
def oversampling(image, factor = 7):
"""
Returns the oversampled image
`image`: initial gray-scale image represented as a 2D array
`factor`: the oversampling factor
"""
old_shape = image.shape
new_shape = (factor*old_shape[0], factor*old_shape[1])
new_image = np.zeros(new_shape)
for i in range(old_shape[0]):
for j in range(old_shape[1]):
new_image[factor*i:factor*i+factor,factor*j:factor*j+factor] \
= image[i,j]*np.ones((factor,factor))
return new_image
Representation: Spiral Architecture
Now that we have described how to convert square pixels to hexagonal pixels, a way of referencing the latter is needed. Again, multiple propositions have been advanced during the years3, as for example
- Offset addressing
- Orthogonal addressing
- 3D addressing
- Hexagonal spiral honeycomb mosaic
The first three are essentially extensions or adaptations of what is done in the case of square pixels, and are thus very efficient in associating to each index the corresponding position on the image and vice-versa. The last one, on which we focus, is a completely different approach heavily oriented on optimizing the computations needed for the two natural geometrical operations on the honeycomb lattice: translation and rotation.
Construction of the spiral honeycomb mosaic
Usually square pixeled images are composed of $2^{2n}$ pixels. One could generate iteratively these square grids, starting from the fundamental element composed of 4 cells arranged in a square, as follows:
- If $n=1$ the construction is completed by identifying each cell with a pixel.
- If $n>1$, replacing each cell with another fundamental element (see the animation).
- Repeat the above procedure $n-1$ times, and then identify the cells with the pixels.
By enumerating the cells of the fundamental grid from $0$ to $3$ and assigning to each pixel the sequence of cells in which at each step it is contained, we can index the complete grid by means of a single coordinate $x$ expressed in base 4 and with exactly $n$ digits.
In the case of square pixels, this representation does not yield many advantages over the natural matrix indexing while complicating the intuition of a human programmer. On the other hand, we now show that the same procedure applied to hexagonal pixels, called spiral architecture, allows to encode the translation and rotation operations as simple operations on the spiral indexes of the pixels. Obviously this fact has many interesting applications in image processing.
To define a spiral honeycomb mosaic, we let the fundamental element to be composed of 7 hexagons: a center and the 6 adjacent ones.
We then proceed as above, iteratively, to augment the number of pixels until getting to the desired hexagonal grid of $7^n$ pixels as shown in this animation.
Some remarks:
- The fundamental element is not hexagonal, thus at each step we obtain slightly different boundaries. Moreover, in order to fit the previous grid, we are forced to slightly tilt the newly obtained grid constructing a sort of spiral.
- Pixels in a SHM are indexed by numbers in base $7$
- Spiral honeycomb mosaics are, by construction, roughly circular. Thus when representing an image as a SHM we usually disregard what happens at the corners. Look at the following example of the biggest SHM embeddable in a 256x256 image:
Conclusion
In this post we explained how to simulate hexagonal pixels and how to build a spiral honeycomb mosaic to index them. In the next posts we will talk about
- How to recover the hyperpel associated with a spiral index.
- The operations of spiral addition and multiplication associated with the spiral honeycomb mosaic and their geometric significance.
- How to expoit these operations to implement fast algorithm for rotating images.
-
“Spiral architecture for machine vision”, PhD Thesis https://opus.lib.uts.edu.au/research/handle/2100/280 ↩
-
See for example “A New Simulation of Spiral Architecture”, by X. He, T. Hintz, Q. Wu, H. Wang and W. Jia. ↩
-
For a review see “Hexagonal structure for intelligent vision”, X. He and W. Jia, in Proc. 1st Int. Conf. Inf. Commun. Technol. ICICT 2005 (2005), pp. 52–64. ↩


--- title: Molecular Reinforcement Learning hide_colab_badge: true keywords: fastai sidebar: home_sidebar summary: "Unlocking reinforcement learning for drug design" description: "Unlocking reinforcement learning for drug design" nb_path: "nbs/index.ipynb" ---
MRL is an open source python library designed to unlock the potential of drug design with reinforcement learning.
MRL bridges the gap between generative models and practical drug discovery by enabling fine-tuned control over chemical spaces. Control what structures are generated and where they occur.
MRL is suitable for all stages of drug discovery, from high diversity hit expansion screens to hyper-focused lead optimization
{% include image.html width="800" alt="rgroup optimization" max-width="800" file="/mrl/files/mols.png" %}
MRL can be used without installing via Google Collab. Open any page in the documentation and click the "Open in Collab" button to open the notebook in Google Collab. Make sure to change the runtime to GPU.
MRL is available via Anaconda.
conda create -n mrl python=3.7
conda install -c dmai -c rdkit -c pytorch -c fastai -c conda-forge mrl
MRL is available via pypi. First install pytorch. Then run the following:
pip install mrl-pypi
If you plan to develop the library or want the most up to date release, use an editable install. First install pytorch. Then run the following:
git clone https://github.com/DarkMatterAI/mrl
pip install -e .
Here's an example of using a MRL pre-trained model to generate compounds based on the ChEMBL library:
from mrl.model_zoo import LSTM_LM_Small_Chembl
agent = LSTM_LM_Small_Chembl()
preds, log_probs = agent.model.sample_no_grad(512, 90)
smiles = agent.reconstruct(preds)
smiles[:10]
>['COC(=O)C1=C(Nc2ccc(Br)cc2)SCC1=O',
'Cc1nnc2n1CN(C(C)=O)CC2c1ccc2c(c1)OCO2',
'COc1ccc(C(=O)NNc2c(C#N)cnn2-c2ccccc2)c(OC)c1',
'COC(=O)C1(C)C=C(N2CC2)C(=O)C(C(C)=O)=C1',
'CC(O)(c1cccc(Cl)c1)c1nc(-c2cccc(-n3cncn3)c2)co1',
'Clc1cccc2ccc(-n3c(-c4ccccc4)nc4ccccc4c3=O)nc12',
'Cc1cccc(NC(=O)CSc2nnnn2-c2ccc3c(c2)OCCO3)c1',
'Nc1n[nH]c(=O)c2cc(NCc3ccc(C(=O)O)c(Cl)c3)ccc12',
'CCOc1ccc(NC(=O)c2oc3ccccc3c2NC(=O)c2ccccc2OC)cc1',
'Cc1ccc2c(N3CCN(CC(=O)Nc4ccc(N5CCCCC5=O)cc4)CC3)cccc2n1']
See the MRL documentation page for full documentaion
See the MRL tutorials page for examples
MRL uses nbdev for development. This allows us to build code, tests and documentation at the same time.
To contribute, install nbdev. Then run nbdev_install_git_hooks
in your terminal. This sets up git hooks, which clean up the notebooks to remove the extraneous stuff stored in the notebooks which causes unnecessary merge conflicts.
If you make changes to a notebook, run nbdev_build_lib
to update the library.
If you make changes to the library, run nbdev_update_lib
to update the notebooks.
Submit PRs to the dev
branch.
Before submitting a PR, run nbdev_diff_nbs
to verify the notebooks and the library match.


[Index] [1] [2] [3] [4] [5] [6] [7] [8]
The Tree Viewer (or panel) shows the objects in each open file, and supports the navigation and editing of those objects. Multiple files can be viewed and edited, and both HDF4 and HDF5 files can be opened. The viewing and editing operations work for both HDF4 and HDF5, although some operations cannot be implemented for HDF4.
Every HDF5 object appears in at least one group. A set of objects can be stored together in a group. You can use the group object API functions to create and manipulate the groups. With the groups, you can organize the data objects in an HDF file. Objects in HDF4 may or may not belong to a group. An object that does not belong to any group is called a lone object, such as lone Vdata. To map HDF4 structure to HDF5 structure, a “dummy” root group is created in the tree view and lone objects are put at the root group.
Since objects can have names in more than one group, the set of all objects in an HDF file is a directed graph. It is difficult to manipulate and browse the graph on a 2-D virtual screen. Instead of showing the directed graph of the HDF file structure, HDFView displays HDF objects in a conventional structure as a tree of “folders,” breaking the “loops” in the graph when necessary. The tree viewer of HDFView provides users an easy way to browse and manage HDF data objects in an HDF file. The following icons are used to represent HDF objects:
Upon opening an HDF file, HDFView displays the tree structure of the HDF file in the tree viewer, which is the left panel in the HDFView window. Every HDF file has exactly one root group that is created when the file is created. The root group is added to the root of the tree. When two or more files are open, the root groups of the files are listed at the root in the tree view.
Groups are presented as folders in the tree viewer. Opening and closing folders, you can browse the individual HDF objects in the HDF file. Datasets, images and tables are leaf objects in the tree. Double clicking a leaf object allows you to see the content of the object displayed in the data/document window in the right panel of the HDFView window.
The tree viewer
The Tree View allows the user to navigate the structure of the HDF file, to select individual objects, and to view the content of the selected object.
You can open a data object in the tree by a double-mouse-click or selecting the “Open” command from the object's popup menu (accessed by right clicking on the object). By default, data content is displayed as an image, a table or text based on its datatype. See the following chapters for a detailed discussion of the data viewers.
The object popup menu
If the data value is not in memory, the “Open” action will load the data from the file and display it. If the data is already loaded into memory, it will just display the data. If you want to refresh data in memory or open a dataset with a different selection (subset or display option), you have to use the “Open As” command.
Using “Open As”, you can select a subset of the dataset to display or change the default display options. For example, you can display the data values of an image in a spreadsheet, or show a scalar dataset as an image. For multi-dimension datasets, you can select any of two dimensions to display. The mouse-drag navigator allows you to select a subset by dragging the mouse over the preview image. For more details about how to select a subset and dimensions, see 5.2 Subset and Dimension Selection.
The “Start” field(s) determines the starting coordinate of the selected area.
The “End” field(s) determines the ending coordinate of the selected area.
The “Stride” field(s) chooses array locations from the dataspace with each value in the stride array determining how many elements to move in each dimension. Setting a value in the stride array to 1 moves to each element in that dimension of the dataspace; setting a value of 2 in the stride array moves to every other element in that dimension of the dataspace. In other words, the stride determines the number of elements to move from the start location in each dimension. Stride values of 0 are not allowed. If the stride parameter is NULL, a contiguous hyperslab is selected (as if each value in the stride array was set to all 1's).
The metadata dialog box appears by right-clicking the object (icon) in the tree and selecting the “Show Properties” command from the Context menu. The HDF metadata display contains two tabbed panes, showing the general metadata and the user-defined attributes.
General metadata includes the name, type, and path of the data object.
For groups, general metadata also includes the name, type, and size of all the members of the group. The following figure shows an example of the general information of a group.
General properties of an HDF group
For a dataset (or image), the general metadata also includes the dataspace information (rank, current, and maximum size of each dimension) and datatype information (type, size, and order). The following figure shows an example of the metadata for a dataset.
General properties of a dataset
To see the attributes of an object, click the “Attribute” tab in the object's Properties window. The name, type, size, and value of all attributes of the selected object are displayed in a table. The following figure shows an example of the attribute display.
The Attributes tab
HDFView allows you to create and save files and to add and delete objects in the files. Users should be aware that all the changes are made to the actual stored file. This version does not support the undo operation; editing results cannot be automatically recovered.
The file creation dialog box appears when you choose the “New -> HDF4/5” command from the File menu. Choose the path and the file name you want to create and click the “Save” button from the New File dialog box. A new file will be created with an empty root group.
Create New File
Select “Save As” from the File menu to save the currently selected file into a new file of the same format, i.e. HDF4 to HDF4 or HDF5 to HDF5. (HDFView does not support HDF4 to HDF5 conversion.)
For HDF5, a new file is written that does not contain the inaccessible objects, and it packs the unusable space. Thus, the new file may be smaller than the original. Dataset or attribute values that are object references can not be updated. For HDF4, a new file is the exact copy, same file content and file size.
The library version bounds of an HDF5 file can be set by right clicking the file from treeview, then selecting “Set Lib version bounds” from the Context menu and setting the earliest version and latest version. In order to see the currently set library versions of an HDF5 File, select “Show Properties” from the file's Context menu and it will display the library versions that had been set earlier.
Setting the library version bounds of an HDF5 file
All objects in HDFView are created by selecting the "New" command from the Context menu, accessed by right clicking on any object in the TreeView panel.
To create a new group, select the “New -> Group” command from the Context menu, then give the name of the new group and the parent group to which the new group is to be added.
The New Group dialog box
By clicking on the “more” button, the user can set the options, creation order, and link storage when creating groups. Help buttons are provided for more information about the options.
Create new group options
To create a new dataset, select the “New -> Dataset” command from the HDF5 Context menu, or “New -> SDS” from the HDF4 Context menu, then specify the name, path, datatype, dataspace, and storage layout and compression of the new dataset. The current version only supports creating simple datatypes. This version cannot create an HDF4 VData; however, these types of objects can be viewed. Supported datatypes include integers (byte, short, int, long), float, double, and character. For HDF5, it also includes String and Object references.
The New Dataset dialog box
To create a new compound dataset (HDF5 only), select the “New -> Compound Dataset” command from the Context menu. Then, specify the name, path and template to use (if applicable), as well as the dataspace, storage layout and compression and properties of the new dataset. Supported datatypes include integers (byte, short, int, long), float, double, String and Object reference.
The New Compound Dataset dialog box
The “New -> Image” command from the Context menu allows you to create an empty image with default image attributes. The new image does not have any palette attached to it. You can create two kinds of images: an indexed image with 256 colors and a 24-bit true color image.
The New HDF Image dialog box
The “New -> Datatype” command from the Context menu allows you to create a new committed datatype (HDF5 only). Committed datatypes are able to be shared among datasets within an HDF5 file.
The New Datatype dialog box
The “New -> Link” command from the Context menu allows you to create links to objects (HDF5 only). Three types of links can be created: hard, soft, or external. Hard links and soft links are links to objects in the same HDF5 file. External links are links to objects in a different HDF5 file. Soft links and external links are symbolic links and are allowed to dangle, meaning that the target object need not exist at the time the link is created. A Help button is provided for more information about links.
The New Link dialog box
The type for a soft link or external link object that links to a non-existing target object is unknown, so it will have a different icon: ‘’ The user can change the target object being linked to by selecting the link object from the tree view, right clicking and selecting “Show Properties” from the Context menu. In the Properties dialog box, edit the “Link to Target” field to change the target object.
Change the target object for a dangling link
To delete objects from the tree, you first select the objects, then choose the “Delete” command from the Context menu. A confirmation dialog appears to verify that you want to delete the selected objects. Deleting an object from an HDF4 file is not supported.
Deleting an HDF5 object calls the H5Gunlink() function of the HDF5 library. The unlink function removes the link, and when an object has no remaining links, it can be deleted. However, the HDF5 library does not currently reclaim the space in the file. This means that the size of the file does not shrink even though objects are removed. (Users are cautioned that repeatedly creating and deleting objects with HDFView can cause the HDF5 file to grow.) To get rid of the inaccessible objects, you have to save the current file into a new file and rename the new file to the current file.
HDFView allows you to copy an object and paste it in the same file or a different file of the same type. To copy and paste an HDF5 object from the tree, select the object and then select the “Copy” command from the Context menu. You then select a group by right clicking on the group to which the object is to be pasted. After you select the “Paste” command, the object is copied into the selected group. HDFView does not allow you to copy/paste an object of different format. The “Paste” command will create a new object in the selected group instead of making a hard link.
You can also select multiple objects in the tree and apply the copy/paste action to the selected objects. Selection can be contiguous and discontiguous. To make a contiguous selection, click on the first object, then click on the second object while holding down the Shift key. All the objects between the two objects will be selected inclusively. To make a discontiguous selection, hold down the Ctrl key while clicking the objects with the left mouse button. The objects being clicked will be selected. The rest of the operation of copying/pasting multiple objects is the same as that of copying/pasting a single object.
Copying a group will also copy all the descendents of the group. Copying a root group is not allowed.
HDFView allows you to move an object within the same HDF5 file from one location to another. Moving objects from one file to another file is not supported by HDFView. To move an HDF5 object from the tree, right click the object and then select the “Cut” command from the Context menu. You then select a group by a right click on the group where the object is to be moved. Select the “Paste” command, the object is then moved into the selected group.
You can also select multiple objects in the tree and apply the move action to the selected objects. Selection can be contiguous and discontiguous.
Moving a group will also move all the descendents of the group. Moving a root group is not allowed. Moving objects is not supported by HDF4 Files.
To add an attribute, click the “Add” button on the Attribute tab of the object's Properties window. You can create an attribute of a string, scalar, and 1D array of simple datatypes. Attributes of multiple dimensions or a compound datatype are not supported.
The New Attribute dialog box
To change the value of an attribute, type the new value into the cell. Only string and scalar attributes can be modified. The new value must be interpretable as a value of the correct type for the attribute. For a string value, the value typed will be truncated to the size of the attribute if it is longer than the declared size of the attribute. A valid data value must follow the rules specified by the section 5.4 Change Data Value.
To change the name of an attribute, type the new name into the cell. Close the file and reopen it. Open the attribute, the name will be the new name set. Note: once the attribute name is changed, it cannot be changed again until the file is closed and reopened.
To delete an attribute, select the attribute and click the “Delete” button. Deleting an attribute of an HDF4 object is not supported.


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Magister Kaira:
I pray you pass 'Shilen's Initiation' and are advanced to a higher rank. May the eye of the abyss lead you.


#| Define Red phasers module Red::Phaser { # Define these here rather than next to the traits # as they will be used in several places role BeforeCreate is export { } role AfterCreate is export { } role BeforeUpdate is export { } role AfterUpdate is export { } role BeforeDelete is export { } role AfterDelete is export { } }


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Here is an example of the quickest way to start and use a worker pool.
const syndicate = require('syndicate');
const {isMainThread} = require('worker_threads');
if (isMainThread) {
const workerPool = syndicate.createWorkerPool({
bootScript: __filename
});
workerPool.addTask('hello from parent', (err, result) => {
console.log(result); // prints "hello from worker"
});
} else {
const {parentPort} = require('worker_threads');
parentPort.on('message', (msg) => {
console.log(msg); // prints "hello from parent"
parentPort.postMessage('hello from worker');
});
parentPort.postMessage('ready');
}
If you are familiar with the worker_threads APIs you will find this example very familiar. In its default
implementation it uses worker_threads to instantiate the workers.
To start using syndicate with the defaults, you have to call "createWorkerPool" method providing an object
with "bootScript" key specifying the path to the script that will run inside each worker. This will return a
pool that exposes a single method, "addTask" that accepts any primitive type, and a callback that is called
with the response sent by the "postMessage" inside the worker.
Theoretically, any script that can run normally inside a worker_thread will also run using syndicate, the
only requirement is that the first message sent by a worker should be "ready" because some scripts need a
preparation time (using asynchronous operations) before they're ready to execute tasks.
When creating a WorkerPool object, a config object is passed to the "createWorkerPool" method. This object
has the following configurable fields.
-
bootScript: this is a script path in most cases, or it can be a string with the contents of the script
(this works only for worker_threads and only by telling the worker threads to eval the string, see
workerOptions to see how), or a function
-
maximumNumberOfWorkers
-
this is an optional field, it takes an unsigned integer meaning the upper bound of the number of
workers allowed to be created
-
workers will be created lazily, only when they are needed
-
the default value is equal to the number of cores present on the current machine
-
workerStrategy
-
this is either threads or isolates, but the syndicate module exposes these constants to help
-
the default value is set to threads
-
workerOptions
-
these are the options that will be passed as is to the worker_threads module or to isolates to
allow more customization
-
for threads, the options can be seen here
-
for example, set here "eval: true" if you want to provide a script as string in the "bootScript"
fields instead of a path
This config option helps configure the worker before it is created, however you might need to customize it
after it was created or simply want to obtain the instance.
For this reason, the "createWorkerPool" method accepts as the second parameter a function that will receive
the worker instance before it is added to the pool.
The easiest way to get you started with an isolated environment that can support "require" and other
functionality beside the simple interpreter provided by isolated-vm, is to use PSKIsolates
However I present further what you need to do to create a simple implementation that works.
const syndicate = require('syndicate');
const ivm = require('isolated-vm');
const {EventEmitter} = require('events');
async function createIsolate(workerOptions) {
let isolate = new ivm.Isolate();
let context = await isolate.createContext();
class IsolatesWrapper extends EventEmitter {
postMessage(task) {
try {
isolate.compileScript(task)
.then(script => script.run(context))
.then(result => {
this.emit('message', result);
})
.catch(err => {
this.emit('error', err)
});
} catch (e) {
this.emit('error', e);
}
}
}
return new IsolatesWrapper();
}
const workerPool = syndicate.createWorkerPool({
bootScript: createIsolate,
workerStrategy: syndicate.WorkerStrategies.ISOLATES
});
workerPool.addTask('"hello from worker";', (err, result) => {
console.log(result); // prints "hello from worker"
});
In order to create isolate workers, syndicate wants as bootScript a function that will receive
"workerOptions" as arguments and returns using a promise something with the same API as a workerThread,
meaning something that will listen on "postMessage" to receive tasks and that will emit on "message" the
result or on "error" if something bad happened.
This function should instantiate an isolate and prepare a context for it (mostly meaning the global
object avaiable inside the isolate). Each time the wrapper receives a "task", it "compiles" it and tries
running it inside the isolate with the already existing object.
This is important to consider because if a task pollutes the context, subsequent tasks will be affected.
Different strategies can be applied here, the context can be created initially and customized but at
each request the isolate will receive a clone of the context. This is more efficient then creating the
context from zero, but it might have a significant impact in some situations.
This example is good to grasp what is happening but not helpful in practice because, even though it
might not be obvious, but the isolates simply returns synchronously what we passed in and we have no way
to avoid that with this approach. In order to solve this let's look at the next example.
const syndicate = require('syndicate');
const ivm = require('isolated-vm');
const {EventEmitter} = require('events');
async function createIsolate() {
let isolate = new ivm.Isolate();
let context = await isolate.createContext();
class IsolatesWrapper extends EventEmitter {
postMessage(task) {
try {
receiveWorkRef
.apply(undefined, [task]) // 6
.catch(err => this.emit('error', err));
} catch (e) {
this.emit('error', e);
}
}
}
const isolatesWrapper = new IsolatesWrapper();
const returnReference = new ivm.Reference(function (...results) { // 1
isolatesWrapper.emit('message', results);
});
await context.global.set('__return', returnReference); // 2
const preparationScript = await isolate.compileScript(`
receiveWork = function(task) {
// task is "hello from parent" here
__return.apply(undefined, [task, "hello from worker"]);
}
`); // 3
await preparationScript.run(context); // 4
const receiveWorkRef = await context.global.get('receiveWork'); // 5
return isolatesWrapper;
}
const workerPool = syndicate.createWorkerPool({
bootScript: createIsolate,
workerStrategy: syndicate.WorkerStrategies.ISOLATES
});
workerPool.addTask("hello from parent", (err, result) => {
console.log(result); // prints ["hello from parent", "hello from worker"]
});
The purpose of this example is to showcase how to call a specific function (maybe asynchronous) that
exists inside an isolate, give it some work to do and receive the results back.
The steps I'll explain correspond to the numbers in the comments at the end of significant lines
In order for the isolate to call a function outside its context we need to pass it a reference to a
function owned by another isolate (the node.js environment is an isolate in and of itself). Here we
define an anonymous function and get a reference to it.
In this step we assign to "global.__return" (the global object of the target isolate) the reference of
the function aforementioned.
The isolate need a function inside itself that will handle the task. Now we simply send strings but you
can send objects that will help this function decide what needs to be done with the received input. For
now, the function "receiveWork" is on global and all it does is to call the "__return" function created
previously with the value of "this" set to undefined, the received task and a message. The "__return"
function must be called with "apply" because it's not a real function, it is actually a wrapper of type
Reference that knows how to deal with calls and dereferencing (for more details see
https://github.com/laverdet/isolated-vm#class-reference-transferable)
Run the script written at step 3 to allow the modifications to take place inside the isolate.
Get a reference to the function created at step 3 to be able to call it from the main process.
As in the case of "__return", this function too has to be called with apply because it is a Reference.
At the end of running this, the main process will have a reference to "receiveWork" and the isolate will
have a reference to "__return" function. This way the main process can send work to the isolate and the
isolate can respond.


About Me
My name is Cody Berlioz and I am an undergraduate student at
San Francisco State University. I will be graduating in May 2019 with a Bachelor of Science in Business Administration, with a concentration in Information Systems.
Some areas of focus in my studies include:
- Network Analysis
- Systems Analysis
- SAP
- Database Design & Implementation
- Information Systems Project Managment
- Data Analytics
- Business Intelligence
The purpse of this site is to document my studies and projects at
San Francisco State. I built this site in HTML/CSS, feel free to contact me with any questions or suggestions.
Popular Projects
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How to exploit a vulnerable SQL search query with an SQL injection. The following report highlights a SQL injection vulnerability as a potential attack vectors against a fictional site.
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#include <UExpr.h>
Classes | |
| struct | STerm |
Public Types | |
| enum | EMATHOP { EO_ADD, EO_SUBTRACT, EO_MULTIPLY, EO_DIVIDE, EO_MODULUS, EO_CMPLESS, EO_CMPGREATER, EO_CMPLESSEQUAL, EO_CMPGREATEREQUAL, EO_CMPNOTEQUAL, EO_CMPEQUAL, EO_CMPAND, EO_CMPOR } |
Public Member Functions | |
| ~UExpr () | |
| void | AddTerm (EMATHOP mathOp, URef< UExprTerm > term) |
| adds terms to the | |
| unsigned int | GetTermCount () const |
| URef< UExprTerm > | GetTerm (unsigned int idx) const |
| EMATHOP | GetTermMathOp (unsigned int idx) const |
| float | GetValue () const |
| bool | IsDynamic () const |
| ETYPE | GetType () const |
Friends | |
| class | UExprMgr |
File: UExpr.h Author: Kevin Bray Created: 07-05-05 Copyright © 2004 Bootstrap Studios. All rights reserved. project includes. std c++ includes. class UExpr
Definition at line 22 of file UExpr.h.
| enum UExpr::EMATHOP |
| UExpr::EMATHOP UExpr::GetTermMathOp | ( | unsigned int | idx | ) | const |
| ETYPE UExpr::GetType | ( | ) | const [inline, virtual] |
| float UExpr::GetValue | ( | ) | const [virtual] |
shouldn't have been able to be parsed! This shouldn't be possible.
if there is only one term, return early.
Note that we reduce in order of precedence. precedence: * / %, + -, < > <= >= == !=, && ||
go through all of the terms.
initialize the first entry in the stack.
advance past the first term in the array.
go through the remaining terms in the array.
do the division and take the fractional part.
push onto the stack.
shouldn't be possible to overwrite.
are we done? This means we hit all multiplication, division, or modulus. If this is the case, then there is no need to reduce further. We can simply return early.
now reduce addition/subtraction. initialize the first element in valueStack1.
push the new entry onto valueStack1. At this point, should be either a comparison or a logical operation.
are we done? This means we hit all addition or subtraction. If this is the case, then there is no need to reduce further.
now reduce comparisons! initialize the first element in valueStack0.
push the new entry onto valueStack0. At this point, should be a logical operation.
are we done? This means we hit all comparisons. If this is the case, then there is no need to reduce further.
now reduce logical operations! initialize the first element in valueStack1.
shouldn't be possible! At this point, all operations except logical operations should have been reduced! If we get here, then an operation was added, and is not supported correctly, or there is an error in the existing logic somewhere.
all done!
Implements UExprTerm.
| bool UExpr::IsDynamic | ( | ) | const [inline, virtual] |


Code Review Report
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2.2 'The General Scandinavian Practice'
This 'Group of Experts' has also looked into the origin of the so-called 'General Scandinavian Practice' which is meant to be the attitude of the Scandinavian National Maritime Administrations, in particular of the Swedish Sjöfartsverket and the Finnish Sjöfartsstyrelsen respectively the Finnish Board of Navigation (F.B.N.), in respect of the interpretation of and the dealing with certain SOLAS Rules. This refers, in particular, to the location of the upper extension of the collision bulkhead above bulkhead deck, which on the car/passenger ferries is the car deck. This is regulated by SOLAS 1974, Chapter II-1, Rule 9 (1979 Edition) and exemptions are only possible according to Rule 1 (c) if the route of the vessel does not lead more than 20 nm from the nearest land.
In the early years of the Ro-Ro ferries, i.e. end of the 1950's/beginning of the 1960's, the ferries were rather small and sailed only short distances and hence were never more than 20 nm off the nearest land. In this time the maritime administrations accepted the bow ramp in combination with the front bulkheads as the upper extension of the collision bulkhead above bulkhead deck, no matter where they were located.
In searching for the origin of the authorities' attitude it was found that apparently for the first time on the ferries PRINS BERTIL and PRINSESSAN CHRISTINA, built in Aarhus in 1960/61, the bow ramps had been accepted as the upper extension of the collision bulkhead above bulkhead deck by the National Maritime Authorities, most probably with the restriction not to proceed more than 20 nm from the nearest land.
In addition, it has to be noted that at least Sjöfartsverket and F.B.N. took the view already in 1959 that all structural matters - including the position of the upper extension of the collision bulkhead - would have to be dealt with by the Classification Societies, no matter whether SOLAS requirements, which actually were the responsibility of the Maritime Administrations, were involved or not. This attitude is revealed in a letter dated 07.04.59 written by the then Kungl. Sjöfartsstyrelsen now Sjöfartsverket (attached as Enclosure 2.2.3) and in a statement which H. Valkonen of the F.B.N. gave at a meeting with this 'Group of Experts' on 27.10.95 (Memo attached as Enclosure 2.2.4). In other words, as soon as the Classification Society had issued the Class Certificates the National Maritime Administration issued the Passenger Ship Safety Certificate, thereby confirming that the ferry complied with SOLAS, although they did not know this for sure but merely assumed that the Classification Society had checked the compliance of the relevant vessel with SOLAS. This actually was the case only after the Classification Societies had incorporated SOLAS 1974 into their Rules, which, however, was not done simultaneously by all of them; for example Det norske Veritas (DnV) did it quite early while Bureau Veritas did it quite late. As most of the Swedish and Finnish ferries were classified by DnV, both Sjöfartsverket and F.B.N. were accustomed to having the Classification Societies take care of the structural SOLAS requirements. Bureau Veritas, however, incorporated SOLAS 1974 into its Rules only in 1981, i.e. after DIANA II and VIKING SALLY had been built as will be explained in the subsequent chapters, and thus did not feel responsible for SOLAS matters during this time.
In the course of the investigation it was also discovered that the F.B.N. had issued an 'Exemption Certificate' to VIKING SALLY for a deviation from the SOLAS requirements in respect of the lifesaving appliances, however not for the wrongly placed upper extension of the collision bulkhead, being the bow ramp on this as well as on most of the car/passenger ferries trading in the Baltic in those years.
Revealing in this context is the correspondence in 1981 between a Swedish ferry operator, being in the process of taking over a foreign flag ferry, subsequently renamed KRONPRINSESSAN VICTORIA, and Sjöfartsverket wherefrom the following is quoted:
1.) Owners to Sjöfartsverket:
«With reference to the previous exchange of communication we have noted that the bow ramp of this vessel is placed different than required by SOLAS 1974. We are requesting you to check this and reply by return whether the location of the ramp is wrong.»2.) Reply by Sjöfartsverket to owners:
«The location of the inner bow ramp is in conformity with the national as well as international practice and is accepted by us in the present condition.
The vessel has the required Swedish and international certificate which is also accepted by Denmark and West Germany, whilst Sweden in the same manner is also accepting the certificates of these countries. It is not the intention of Sjöfartsverket to take up these questions with the Maritime Administrations of said countries.»Copies of the respective telex exchange can be found as Supplement 215 to the Final Report of the JAIC.
Consequently it has to be assumed that in the course of the years and with ever growing ferries three alternatives concerning the bow ramp/upper extension of the collision bulkhead issue developed, viz.:
a) The bow ramp is the upper extension and is located in accordance with SOLAS requirements (the ferry could sail outside 20 nm range without restrictions).
b) The bow ramp is not the upper extension, but at the location on the car deck, as required by SOLAS, a "partial collision door" is installed (also this ferry could sail without restrictions).
c) The bow ramp (in combination with the front bulkheads) is the upper extension, but is not located at the proper place as required by SOLAS and no "partial collision door" is installed. (This ferry could sail inside the 20 nm range, but the National Maritime Administration would have to issue an 'Exemption Certificate' which would have to be renewed annually together with the PSSC.)
as to a)
This version complies fully with SOLAS and from this point of view creates no problems, however, the commercial side is treated badly because in order to take as many cars on the car deck as possible the bow ramp has to be as far forward as possible and this leads over to either version b.) or version c.).as to b)
This version was already being built into ferries at the end of the 1970's operating in the Irish Sea, North Sea and the English Channel (although not on all of them). It complies fully with the respective SOLAS requirements. This version was also part of the initial quotations/specifications for DIANA II and VIKING SALLY submitted by Meyer Werft to the respective owners, whereafter - after consultations with Sjöfartsverket - respectively F.B.N. - the "partial collision doors" were deleted. The result was version c.).as to c)
This version existed on DIANA II as well as on VIKING SALLY and on dozens of other ferries in the Baltic and elsewhere. The acceptance of this configuration by the National Maritime Administrations of Sweden and Finland, no matter whether the ferries sailed inside or outside of the 20-nm range and without issuing an Exemption Certificate to cover the wrong location of the upper extension is understood to be the 'General Scandinavian Practice'. It was followed for example by the Malmö office of Sjöfartsverket responsible for the DIANA II when she was sailing between Trelleborg and Rostock, still in 1994 when the Manager - Åke Sjöblom - signed the PSSC thereby confirming that she fully complied with SOLAS, which she did not, because her bow ramp (with the front bulkheads) was the upper extension but as such located too much forward. As she stayed within the 20-nm range in the course of her route the simple issuance of an Exemption Certificate would have put the PSSC in compliance with SOLAS, however, it was not issued. The same refers to VIKING SALLY and SILJA STAR whereas the situation as to the WASA KING and ESTONIA was quite different, as will be explained in subsequent chapters.In this respect it is remarkable to note that the predecessor of the ESTONIA in the Stockholm-Tallinn service, the Swedish flag NORD ESTONIA, owned by Nordström & Thulin, the technical managers and part-owners of the ESTONIA, had sailed between Stockholm and Tallinn for about 2 years under the strict supervision of Sjöfartsverket without having the upper extension of the collision bulkhead above bulkhead deck at the location required by SOLAS and without having a "partial collision door" at the location required by SOLAS but with an unrestricted PSSC issued and annually renewed by Sjöfartsverket.
In the light of the explanations above it can be concluded that definitely in the years 1978/80 it corresponded to the state-of-the-art as well as to the 'rules of the art' that on car/passenger ferries operating in the Baltic Sea not more than 20 nm from the nearest land the watertight-built bow ramps were accepted as upper extension of the collision bulkhead above bulkhead deck, and compliance with the SOLAS requirements was assumed even without the issuance of an Exemption Certificate.


West Bromwich Albion to cash in on Nathan Ferguson?
West Bromwich Albion are reportedly prepared to cash in on Nathan Ferguson during the January transfer window.
by Darren PlantWhile the 19-year-old has made 13 starts in the Championship this season, less than a year remains on the contract of the academy graduate.
Despite West Brom being keen to agree fresh terms with the full-back, the Express & Star claims that the Baggies are not against parting ways with the prospect at the start of 2020.
Ferguson has naturally emerged as a target for Premier League clubs, with Tottenham Hotspur and Crystal Palace said to be admirers of his ability.
Earlier this season, it was also suggested that Juventus and Atletico Madrid were monitoring the situation.
Providing that he does not pen a new deal at The Hawthorns, Ferguson can hold talks with foreign clubs in January.
body check tags ::


You can set a warm-up period based on a period of time or a number of bars. To set a warm-up, in your algorithm's Initialize
method, call the SetWarmUp
method.
// Wind time back 7 days from start SetWarmUp(TimeSpan.FromDays(7)); // Feed in 100 bars before start date SetWarmUp(100);
# Wind time back 7 days from start self.SetWarmUp(timedelta(7)) # Feed in 100 bars before start date self.SetWarmUp(100)
If you pass a timedelta
TimeSpan
argument, the warm-up period consists of that timedelta
TimeSpan
before the start date and pipes in data that matches the resolution of your data subscriptions.
If you pass just an integer argument, LEAN calculates the start of the warm-up period for each of your security subscriptions by using the number of bars you specify, the resolution of each security, and the trading calendar of each security. After it calculates the start time of the warm-up period for each security, it sets the earliest start time as the start of the algorithm warm-up period. For instance, in the following example, the warm-up period consists of 100 minute resolution bars for SPY and as many second resolution bars for BTCUSD that occur from the start of the SPY warm-up period to the algorithm StartDate
.
AddEquity("SPY", Resolution.Minute, fillForward: false); AddCrypto("BTCUSD", Resolution.Second, fillForward: false); SetWarmUp(100);
self.AddEquity("SPY", Resolution.Minute, fillForward=False) self.AddCrypto("BTCUSD", Resolution.Second, fillForward=False) self.SetWarmUp(100)
To use a specific resolution of data for the warm-up period, pass a resolution
argument to the SetWarmUp
method.
// Feed in 100 days of daily data before the start date SetWarmUp(TimeSpan.FromDays(100), Resolution.Daily); // Feed in data for 100 trading days of daily data before the start date SetWarmUp(100, Resolution.Daily);
# Feed in 100 days of daily data before the start date self.SetWarmUp(timedelta(days=100), Resolution.Daily) # Feed in data for 100 trading days before the start date self.SetWarmUp(100, Resolution.Daily)
If you pass a timedelta
TimeSpan
and a resolution, the warm-up period consists of the time period and resolution you set, regardless of the resolution of your data subscriptions.
If you pass an integer and a resolution, the warm-up period consists of the number of bars and resolution you set, regardless of the resolution of your data subscriptions. In this case, LEAN calculates the start of the warm-up period for each of your security subscriptions just like it does when you only pass an integer argument. After it calculates the start time of the warm-up period for each security, it sets the earliest start time as the start of the algorithm warm-up period.
If you pass a resolution argument and you registered indicators or consolidators for automatic updates, the warm-up period resolution must be less than or equal to the lowest resolution of your automatic indicators and consolidators. For instance, in the following example, the indicators use minute resolution data, so you can set the warm-up period to use tick, second, or minute resolution data.
_spy = AddEquity("SPY", Resolution.Minute, fillForward: false).Symbol; _btc = AddCrypto("BTCUSD", Resolution.Second, fillForward: false).Symbol; _spySma = SMA(_spy, 10); _btcSMA = SMA(_btc, 10, Resolution.Minute); SetWarmUp(100, Resolution.Minute);
self.spy = self.AddEquity("SPY", Resolution.Minute, fillForward=False).Symbol self.btc = self.AddCrypto("BTCUSD", Resolution.Second, fillForward=False).Symbol self.spy_sma = self.SMA(self.spy, 10) self.btc_sma = self.SMA(self.btc, 10, Resolution.Minute) self.SetWarmUp(100, Resolution.Minute)


{% extends "contest.html" %} {% block Body %}
When will you post the editorials?
Luke I am your father
Yes ...


| Watchtower |
Action -- Reaction |
$3 |
Draw until you have 6 cards in hand.
----------
When you gain a card, you may reveal this from your hand, to either trash that card or put it onto your deck. |
| Bishop |
Action |
$4 |
+$1
+1VP
Trash a card from your hand. +1VP per $2 it costs (round down).
Each other player may trash a card from their hand. |
| Monument |
Action |
$4 |
+$2
+1VP |
| Quarry |
Treasure |
$4 |
Worth $1
----------
While this is in play, Action cards cost $2 less, but not less than $0. |
| Worker's Village |
Action |
$4 |
+1 Card
+2 Actions
+1 Buy |
| City |
Action |
$5 |
+1 Card
+2 Actions
If there are one or more empty Supply piles, +1 Card. If there are two or more, +$1 and +1 Buy. |
| Mint |
Action |
$5 |
You may reveal a Treasure card from your hand. Gain a copy of it.
----------
When you buy this, trash all Treasures you have in play. |
| Rabble |
Action -- Attack |
$5 |
+3 Cards
Each other player reveals the top 3 cards of their deck, discards the Actions and Treasures, and puts the rest back in any order they choose. |
| Vault |
Action |
$5 |
+2 Cards
Discard any number of cards for +$1 each.
Each other player may discard 2 cards, to draw a card. |
| Goons |
Action -- Attack |
$6 |
+1 Buy
+$2
Each other player discards down to 3 cards in hand.
----------
While this is in play, when you buy a card, +1VP token. |
| Grand Market |
Action |
$6 |
+1 Card
+1 Action
+1 Buy
+$2
----------
You can't buy this if you have any Coppers in play. |
| Hoard |
Treasure |
$6 |
Worth $2
----------
While this is in play, when you buy a Victory card, gain a Gold. |
| Bank |
Treasure |
$7 |
When you play this, it's worth $1 per Treasure card you have in play (counting this). |
| Expand |
Action |
$7 |
Trash a card from your hand. Gain a card costing up to $3 more than it. |
| Forge |
Action |
$7 |
Trash any number of cards from your hand. Gain a card with cost exactly equal to the total cost in $ of the trashed cards. |
| King's Court |
Action |
$7 |
You may play an Action card from your hand three times. |
| Peddler |
Action |
$8- |
+1 Card
+1 Action
+$1
----------
During your Buy phase, this costs $2 less per Action card you have in play, but not less than $0. |
| Loan |
Treasure |
$3 |
Worth $1
When you play this, reveal cards from your deck until you reveal a Treasure. Discard it or trash it. Discard the other cards. |
| Trade Route |
Action |
$3 |
+1 Buy
Trash a card from your hand. +$1 per Coin token on the Trade Route mat.
----------
Setup: Add a Coin token to each Victory Supply pile. When a card is gained from that pile, move the token to the Trade Route mat. |
| Talisman |
Treasure |
$4 |
Worth $1
----------
While this is in play, when you buy a non-Victory card costing $4 or less, gain a copy of it. |
| Contraband |
Treasure |
$5 |
$3
+1 Buy
When you play this, the player to your left names a card. You can't buy that card this turn. |
| Counting House |
Action |
$5 |
Look through your discard pile, reveal any number of Coppers from it, and put them into your hand. |
| Mountebank |
Action -- Attack |
$5 |
+$2
Each other player may discard a Curse. If they don't, they gain a Curse and a Copper. |
| Royal Seal |
Treasure |
$5 |
Worth $2
----------
While this is in play, when you gain a card, you may put that card onto your deck. |
| Venture |
Treasure |
$5 |
Worth $1
When you play this, reveal cards from your deck until you reveal a Treasure. Discard the rest, then play the Treasure. |
| Anvil |
Treasure |
$3 |
Worth $1
You may discard a Treasure to gain a card costing up to $4. |
| Clerk |
Action -- Reaction -- Attack |
$4 |
+$2
Each other player with 5 or more cards in hand puts one onto their deck.
----------
At the start of your turn, you may play this from your hand. |
| Investment |
Treasure |
$4 |
Trash a card from your hand. Choose one: +$1; or trash this to reveal your hand for +1VP per differently named Treasure there. |
| Tiara |
Treasure |
$4 |
+1 Buy
This turn, when you gain a card, you may put it onto your deck.
You may play a Treasure from your hand twice. |
| Charlatan |
Action -- Attack |
$5 |
+$3
Each other player gains a Curse.
----------
In games using this, Curse is also a Treasure worth $1. |
| Collection |
Treasure |
$5 |
Worth $2
+1 Buy
This turn, when you gain an Action card, +1VP. |
| Crystal Ball |
Treasure |
$5 |
Worth $1
Look at the top card of your deck. You may trash it, discard it, or, if it's an Action or Treasure, play it. |
| Magnate |
Action |
$5 |
Reveal your hand. +1 Card per Treasure in it. |
| War Chest |
Treasure |
$5 |
The player to your left names a card. Gain a card costing up to $5 that hasn't been named for a War Chests this turn. |


--- title: Do email templates reduce my workload? author: Luke McGuinness date: '2021-07-11' slug: working-with-emails categories: - R - side-project - experiment tags: excerpt: An attempted before-and-after analysis of email data in R. math: no meta: yes ---
As part of my maintenance of the robvis
R package, I regularly receive emails from users of the Shiny app version of the tool.See here. One of the main issues I encounter when dealing with these emails is that the initial email does not usually contain all the information I need to help the user (e.g. what data file caused the issue), and so I end up replying to request this basic information.
To try and head this issue off at the pass, I implemented a email template in March 2020, so that when users click the “Email me!” button on the Shiny app, an email is created and pre-populated with the following text:
This is a template to help me fix your issue as quickly as possible. Please make sure you:
- detail your issue, and where it occurred [e.g. data upload, generating graphs]
- attach the file you were trying to upload
Thanks,
Luke
Following some reading on self-evaluation/self-experimentation, I had the idea to explore whether this email template was actually helping in terms of my workload by comparing the total number of emails in threads related to the robvis
grouped by whether the thread occurred before or after the email template was implemented.Commonly known as a “before-and-after study”. See here. My hypothesis was that if the template was indeed encouraging people to provide the info I needed to help them right off the bat, threads after March 2020 should contain a smaller total number of emails.
I recently have become quite good at labelling emails related to the different R packages I maintain and moving them to dedicated Outlook subfolders. As such, I was able to follow a very helpful tutorial to export the relevant robvis
Outlook folder to a CSV file,See here. making sure to use the Outlook->Access->CSV route so that the final dataset contained information on the date/time of each email. Once imported, I cleaned the data using the following chain:
library(dplyr)
df <-
# Read in the data
read.csv("robvis_emails.csv",
stringsAsFactors = F,
header = F) %>%
# Rename the v. unhelpful variable names and select the relevant ones
rename(
date = V15,
text = V14,
subject = V5,
sender = V6,
subject_normalised = V19
) %>%
select(date, sender, subject, subject_normalised, text) %>%
# Remove the weird forwarding syntax in one email
mutate(subject_normalised = stringr::str_replace(subject_normalised,
"Antw: RE: ",
"")) %>%
# Format dates and trim character variables
mutate(date = as.Date(date, "%d/%m/%Y %H:%M:%S")) %>%
mutate_if(is.character, stringr::str_trim) %>%
# Group by sender/subject and get count and first date by group
group_by(sender, subject_normalised) %>%
summarise(Number = n(), Date = min(date)) %>%
ungroup()
One interesting thing I noticed is that, because of the way Outlook works, only the incoming emails (i.e. those sent to my email) in each thread are counted. As a result, several threads appear to only have a single email in them, but in reality, the users emailed me, I emailed them back and then never heard from them again. I think this is because Outlook deals with incoming messages and sent messages differently, but I’m not 100% sure.
I then quickly plotted the data to have a look at the date range it covered:
I used the ggannotate
widget to help create the annotations for this plot.
As illustrated in the figure, I apparently only started adding emails to the robvis
Outlook subfolder after July 2020. As the email template was implemented in March 2020, my plan to do a before-and-after comparison to see if it had any impact on the number of emails in each thread was scuppered.
I could always go back through my emails from before July 2020 and categorise them appropriately, or alternatively, import my entire inbox and come up with a data cleaning plan that would extract the relevant emails. However, as this was intended as a quick exercise, I decided to park the analysis and move on to something else.
Still, it gave me an excuse to work with email data in R and practice annotating ggplot2 figures
, so not a total loss!


{% comment %}
This template acts as the email containing the OTP code.
ToDo: Update this template once the theme of the application (front-end) is decided.
{% endcomment %}
{% autoescape off %}
Sign in to Fables
Fables
Use the OTP below to sign in to your Fables account.
{{ otp.code }}
This OTP will expire in 15 minutes and can only be used once.


Google Earth Enterprise Documentation Home | GEE Server administration
Add custom search services
If you want to access a custom data source, you can create your own search plug-in and access it as a search tab definition in Google Earth Enterprise Server. A custom search plug-in will create requests and responses using the common Python-based search framework, letting you adapt your search to any data source. Your custom search plug-in will receive search requests directly from Google Earth Enterprise Client (EC), or any other clients in the form of URL parameters.
For example, with custom search plug-ins you can use Maps API and Places API to leverage the power of their data sets. You can also use a proprietary database, for example, power conversion sites, then search for the sites using internal IDs or city names.
A custom search plug-in may also provide a solution if you want to search data that is not on your Google Earth Enterprise Server or you want to combine Google Earth Enterprise databases in new ways. For example, you may want to combine a Places search with your own vector point data set, enabling your users to search by city name or the name of your facilities. Your custom search plug-in would forward your request to both the POI Search plug-in and the Places plug-in and return a merged set.
Note: Google Maps API and Places API access services over the internet, and require licenses to use.
Note: You will need some familiarity with Python to work with custom search plug-ins.
- Configure search queries for Google Earth EC and Google Maps
- Access Search Plug-ins
- Implement your custom search plug-in
Configure search queries for Google Earth EC and Google Maps
Any web service, servlet, or web application you configure the search tabs to query:
- Must return valid KML to Google Earth EC.
- Must return valid JSONP in the specified structure.
Because search tabs are returned as JSONP, they must originate from the same server as the HTML page containing the 2D map.
Access Search Plug-ins
The Google Earth Enterprise search plug-ins are stored in a default directory that you can use to add or delete your custom plug-ins as required. You can also modify the configuration file,/opt/google/gehttpd/conf.d/mod_wsgi-ge.conf
, to register new search plug-ins with Google Earth Enterprise Server instead of creating search tabs. The configuration file provides a convenient method for managing search plug-ins with scripts, for example, to register newly created plug-in endpoints so that they can be accessible when you view your database in Google Earth EC.
You can access the plug-ins that are installed with Google Earth Enterprise Server at:
/opt/google/gehttpd/wsgi-bin/search/plugin
For example, access /gesearch/ExampleSearch
in your browser as follows:
http://your.gee.server/gesearch/ExampleSearch
The plug-in end points are for Google Earth Enterprise search plug-ins are defined in /opt/google/gehttpd/conf.d/mod_wsgi-ge.conf
.
# Handles Places search requests. WSGIScriptAlias /gesearch/PlacesSearch /opt/google/gehttpd/wsgi-bin/search/plugin/geplaces_search_app.py # Handles Coordinate search requests. WSGIScriptAlias /gesearch/CoordinateSearch /opt/google/gehttpd/wsgi-bin/search/plugin/coordinate_search_app.py # Handles Federated search requests. WSGIScriptAlias /gesearch/FederatedSearch /opt/google/gehttpd/wsgi-bin/search/plugin/federated_search_app.py # Handles Example search requests. WSGIScriptAlias /gesearch/ExampleSearch /opt/google/gehttpd/wsgi-bin/search/plugin/example_search_app.py # Handles POI search requests. WSGIScriptAlias /POISearch /opt/google/gehttpd/wsgi-bin/search/plugin/poi_search_app.py
Implement your custom search plug-in
You implement your custom search plug-in by creating your own python search application using WSGI, then you register your new search plug-in so that it can be added as you publish databases.
To implement your custom search plug-in:
- Create your search application, using the WSGI framework. See the ExampleSearch Python module for example code.
- Locate your search plug-in, for example
custom_search.py
, in the/opt/google/gehttpd/wsgi-bin/search/plugin/
directory. - Register your plug-in by adding its definition in the python module configuration file:
/opt/google/gehttpd/conf.d/mod_wsgi-ge.conf
. Your registration in the configuration file should look something like the following:# Handles My Custom search requests.
WSGIScriptAlias /gesearch/CustomSearch /opt/google/gehttpd/wsgi-bin/search/plugin/mycustom_search_app.py - Restart Google Earth Enterprise Server:
# sudo /etc/init.d/geserver restart
- Open the Google Earth Enterprise Server Admin console and click Search tabs. The list of Search tabs definitions appears.
- Click Create New to create a new search definition.
- Add a name and label.
- In the URL field, add the
WSGIScriptAlias
that you specified in the/opt/google/gehttpd/conf.d/mod_wsgi-ge.conf
file. In this example, you would entergesearch/CustomSearch
.If you want to add query parameters that are hidden from Google Earth EC, such as the way the results will be sorted or the number of results displayed at a time, enter them in the Additional Query Parameters field. The syntax is key1=value1&key2;=value2. For example, sortby=name&numresults;=10 sorts by the name field and displays 10 results at a time. Your search application must be able to understand and respond to these key/value pairs, so you must be very familiar with your search application to use this field.
- Set the fields, and other options as needed and click Save. Your new custom search definition is added to the list on the Search tabs page.
- When you publish a database, add your search definition from the Search tabs drop-down list in the Publish dialog.


{{Infobox prepared food | name = Pol Pani | image = | caption = | alternate_name = | country = Sri Lanka | region = | creator = | course = | type = Pancake | served = | main_ingredient = Coconut milk | variations = | calories = | other = }}
Pol Pani is a Sri Lankan pancake made with coconut milk. They are sometimes served with tea.<ref>Channa Dassanayaka Sri Lankan Flavours: A Journey Through the Island's Food and Culture Hardie Grant Publishing, May 1, 2011 - Cooking - 168 pages pages 144, 145</ref>
{{Reflist}}


--- layout: post title: Doubts tags: - Quotes status: publish type: post published: true meta: _edit_last: "1" ---
The whole problem with the world is that fools and fanatics are always so certain of themselves, but wiser people so full of doubts.
- Bertrand Russell


{% extends "_layouts/default.html" %} {% block content %}
| Shipping Service | Tracking | {% endif %}Order Date |
|---|---|---|
| {{ order_obj["shipping_service"] }} | {% if order_obj['tracking'] and order_obj['shipping_service'] == "UPS" %} {{ order_obj['tracking'] }} {% elif order_obj['tracking'] and order_obj['shipping_service'] == "FEDEX" %} {{ order_obj['tracking'] }} {% else %} Not yet assigned {% endif %} | {% endif %}{{ order_obj['date'] }} |
{{ order_obj['name'] }}
{{ order_obj['address'].replace("\n", "
")|safe }}
| # | Item | Price |
|---|---|---|
| {{ loop.index }} | {{ k }} | ${{'%0.2f'| format(v)}} |
| - | $65 Shipping Flat Fee | $65 |
| Total | {{ order_obj["total"] }} |
We will follow-up with you directly via email/phone to complete your order.
{% else %}Mail a check payable to Northwestern University and a copy of your invoice to the address below. Please include your invoice number on the check.
Erik C. Andersen, Ph.D.Please contact us if you have any questions<EMAIL_ADDRESS>847-467-4382).
{% endif %}


Branding redesign for a local health product shop.
view project
An interactive educational mobile app prototype that addresses mental health and wellness.
Reducing single-use plastics through eco-friendly packaging, one charcoal cleansing stick at a time.


KetoBox.in
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Here's a little about drinking in general
We use the typical average percentages of alcohol; a standard drink is about 14 grams of alcohol.
A beer is 12 ounces.
A cocktail is 3 to 5 ounces of liquid.
A shot is 1.5 ounces of liquid.
The Most Popular Beer is Bud Light.
The Most Popular Distilled Spirit is Smirnoff Vodka.
The Most Popular Cocktail is a Martini.
Excessive alcohol consumption has resulted 88,000 deaths, which is an estimated 2.5 million years of life lost every year from alcohol.
A Blood Alcohol Content (BAC) of 0.3 can result in lack of consciousness and even death.
Every 51 minutes someone is killed in a drunk driving crash.


|
OpenMesh
|
Welcome to the OpenMesh documentation. OpenMesh is a generic and efficient library that offers data structures for representing and manipulating polygonal meshes. It is a powerful tool for handling polygonal meshes. Due to its inherent generative structure it allows the user to create mesh types which are custom tailored to the specific needs of the application. The user can either supply his own data structures for representing vertices, edges and faces or he can conveniently use the predefined structures of OpenMesh. Additionally OpenMesh offers dynamic properties allowing the user to attach and detach data to the mesh during runtime.
Here you can find information on how to build projects using the OpenMesh library as well as further information on mesh handling in OpenMesh. The tutorials explain how to use OpenMesh by demonstrating real code examples.
We also provide python bindings for OpenMesh. You can find them here:
https://www.graphics.rwth-aachen.de:9000/OpenMesh/openmesh-python
In this section all necessary information on how to build projects using OpenMesh is given.
Using and understanding OpenMesh
We provide a short overview over the functionality of the OpenMesh library and some additional concepts in Tutorials (code examples). Additionally, we explain the most important topics of OpenMesh in the following sections:
The OpenMeshTools library that contains some useful tools for i.e. mesh processing:
This section is supposed to introduce the basic concepts of OpenMesh.


How to use
1. Auto3dgm UI in Slicer
The auto3dgm UI consists of three components:
- setup: load data and specifiy parameters used in the auto3dgm algorithm
- run: subsample and align the data
- visualize: the aligned data in a pop-up window
2. Path setups and parameters
In the setup tab, specify
- input folder: location where you saved the downsampled gorilla skull dataset, e.g.,
/Users/ToothAndClaw/Data/Gorilla_Skulls
- output folder: location where you want to save the aligned data and the pseudolandmarks, e.g.,
/Users/ToothAndClaw/Results/
Then click on Load Data.
As we discussed in the previous lecture, auto3dgm uses a two-phase analysis for shape alignment. The algorithm first subsamples two sets of pseudolandmarks for each shape, and then aligns the subsampled points. In the algorithm, we will need to specify how many points we will subsample in each phase. Due to time constraint in this tutorial, let’s only use 20 points for phase 1 and 40 points for phase 2. In general, a few hundred points will give pretty good shape alignment. The more points we use, the better the results.
There are some other parameters in the auto3dgm UI. In general, you can leave them as they are.
- Maximum iterations: the max number of alignment
- Allow reflection: if selected, mirror reflection will be allowed to optimize alignment.
- Subsampling:
- Farthest point sampling (FPS): select evenly-spreading points
- Gaussian process landmarks (GPL): select feature-aware points
- FPS + GPL hybrid: select feature-aware points and complemented with evenly-spreading points for optimal speed and accuracy
- Optional FPS seed: specify the first point to be selected in FPS. If not specified, the algorithm will use the first one.
- Hybrid GPL points: number of feature-aware points to be used in the analysis. The number should be smaller than phase 1 points.
- Processing: options for parallel computing. This will be implemented in future release.
3. Run auto3dgm
In the run tab, you can either run the entire analysis or run each step separately. Here I just click “run all steps”. The aligned data and the registered pseudolandmarks (in .fcsv files) will be saved in the specified output folder.
This will take about 5 minutes.
4. Visualize aligned data
The visualize tab allows you to see how the aligned data look like.
Click on Start mesh visualization viewer.
You can select either visualize phase 1 alignment or visualize phase 2 alignment. The aligned shapes will be shown in a pop-up browser window.
Very Importantly, make sure you click on Stop mesh visualization viewer button after you finish the visualization.
Launch your browser and direct it to http://localhost:8000/index.html
5. Output
You can find the aligned pseudolandmarks (.fcsv files) in the output folder you specified Step 2.


% include("/community/community_head.html"){} %>
<% include("/community/community_header.html"){} %>
${layoutContent}
<% layout("/community/community_aside.html"){} %>
<% include("/common/footer.html"){} %>


znew path/to/file1.Z- Recompress multiple files and display the achieved size reduction % per file:
znew -v path/to/file1.Z path/to/file2.Z path/to/file3.Z- Recompress a file using the slowest compression method (for optimal compression):
znew -9 path/to/file1.Z- Recompress a file, [K]eeping the `.Z` file if it is smaller than the `.gz` file:
znew -K path/to/file1.Z


|
libpqxx
4.0.1
|
Container of items with easy contents initialization and string rendering. More...
#include <util.hxx>
Public Member Functions | |
| items () | |
| Create empty items list. | |
| items (const T &t) | |
| Create items list with one element. | |
| items (const T &t1, const T &t2) | |
| items (const T &t1, const T &t2, const T &t3) | |
| items (const T &t1, const T &t2, const T &t3, const T &t4) | |
| items (const T &t1, const T &t2, const T &t3, const T &t4, const T &t5) | |
| items (const CONT &c) | |
| Copy container. | |
| items & | operator() (const T &t) |
| Add element to items list. |
Container of items with easy contents initialization and string rendering.
Designed as a wrapper around an arbitrary container type, this class lets you easily create a container object and provide its contents in the same line. Regular addition methods such as push_back() will also still work, but you can now write things like
Up to five elements may be specified directly as constructor arguments, e.g.
One thing that cannot be done with this simple class is create const objects with nontrivial contents. This is because the function invocation operator (which is being used to add items) modifies the container rather than creating a new one. This was done to keep performance within reasonable bounds.
| pqxx::items< T, CONT >::items | ( | ) |
Create empty items list.
|
explicit |
Create items list with one element.
| pqxx::items< T, CONT >::items | ( | const T & | t1, |
| const T & | t2 | ||
| ) |
| pqxx::items< T, CONT >::items | ( | const T & | t1, |
| const T & | t2, | ||
| const T & | t3 | ||
| ) |
| pqxx::items< T, CONT >::items | ( | const T & | t1, |
| const T & | t2, | ||
| const T & | t3, | ||
| const T & | t4 | ||
| ) |
| pqxx::items< T, CONT >::items | ( | const T & | t1, |
| const T & | t2, | ||
| const T & | t3, | ||
| const T & | t4, | ||
| const T & | t5 | ||
| ) |
| pqxx::items< T, CONT >::items | ( | const CONT & | c | ) |
Copy container.
| items& pqxx::items< T, CONT >::operator() | ( | const T & | t | ) |
Add element to items list.


The official URL for this profile is:
http://www.fhir.org/guides/test4/StructureDefinition/template-basic
This is a simple example Template
This profile builds on Basic.
This profile was published on Wed Feb 15 00:00:00 AEDT 2017 as a active by Health eData Inc.


Market Update
Crypto Markets Turn Red While BTC Fails to Impress Below $8,500
by Joeri CantFriday, Nov. 15 — Crypto markets are mostly showing red candlesticks, while Bitcoin (BTC) fails to impress as it crawls its way below the $8,500 price point.
Cryptocurrency market daily overview. Source: Coin360
For most of the day, the world’s largest cryptocurrency has been trading within a tight range between $8,700 and $8,600, while taking a sudden swing below the $8,500 price mark during recent hours. Bitcoin is currently trading at a price of $8,480, showing a loss of 1.85% on the day.
Bitcoin daily price chart. Source: Coin360
Despite Bitcoin’s continued struggle to reach higher highs, Tom Lee, renowned Bitcoin bull, co-founder and Wall Street strategist at Fundstrat Global Advisors, said that he believes that Fundstrat’s $25,000 by 2022 forecast for Bitcoin is still “quite easy to achieve.” He said:
“Cryptocurrencies are network value assets, meaning the more people hold the asset, the greater the value. In fact, it’s a log function — so if you double the users hold it, you get a quadrupling of value. To go to $25,000 you essentially need a little less than 4x rise, which means you need to double the number of people who hold Bitcoin.”
Ether (ETH), meanwhile, is currently sitting at $180 per coin. The number one altcoin has been trading in perfect sync with BTC, showing downward price behavior leading to its current trading position, courtesy of a loss of almost 3% on the day.
Ether 7-day price chart. Source: Coin360
XRP, the third-largest coin by market capitalization, is no exception to today’s trend of red candlesticks and has been consistently losing ground in the past few days. The token sits at around $0.261 per coin, down 3.20% on the day at press time.
According to regular Cointelegraph contributor Rakesh Upadhyay, XRP price is in danger of dropping to the next support at $0.24508. Upadhyay said that if this support holds, the altcoin will remain range-bound between $0.24508 and $0.31491 for a few more days. However, if the support cracks, a drop to $0.22 is likely.
XRP 7-day price chart. Source: Coin360
It’s a red day for the top 20
Most of the top 20 coins are showing red candlesticks, with Tezos (XTZ) taking the title of biggest loser, showing a loss of more than 5% on the day. Monero (XMR) follows closely with a similar loss on the day, and is trading at $62.5 per coin.
The only exception is Cardano (ADA), the 12th largest cryptocurrency by market cap, up 2.5% in the last 24 hours.
The overall cryptocurrency market cap currently sits around $232.7 billion, with Bitcoin making up 65.9% of the total.
Keep track of top crypto markets in real time here


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Legend Sliver Fill is a read-write DFM action designed to fill slivers between elements with a set of.nomenclature attributes and at the same time attempts to keep text recognizable wherever possible.
The action operates on shapes in any layer. The action uses square lines to fill detected slivers when possible: otherwise, it uses round lines.
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public interface PackageMaterialPoller
| Modifier and Type | Method and Description |
|---|---|
Result |
checkConnectionToPackage(PackageConfiguration packageConfiguration,
RepositoryConfiguration repositoryConfiguration)
Checks if the package with the given configuration is available in the repository.
|
Result |
checkConnectionToRepository(RepositoryConfiguration repositoryConfiguration)
Checks if the repository with the given configuration is accessible.
|
PackageRevision |
getLatestRevision(PackageConfiguration packageConfiguration,
RepositoryConfiguration repositoryConfiguration)
Gets the latest modification for the given package and repository configuration
|
PackageRevision |
latestModificationSince(PackageConfiguration packageConfiguration,
RepositoryConfiguration repositoryConfiguration,
PackageRevision previouslyKnownRevision)
Gets the latest modification for the given package and repository configuration since later than the last known revision by GO.
|
PackageRevision getLatestRevision(PackageConfiguration packageConfiguration, RepositoryConfiguration repositoryConfiguration)
packageConfiguration
- package configuration for which latest modification should be fetchedrepositoryConfiguration
- repository configuration which contains package configurationPackageRevision latestModificationSince(PackageConfiguration packageConfiguration, RepositoryConfiguration repositoryConfiguration, PackageRevision previouslyKnownRevision)
packageConfiguration
- package configuration for which latest modification should be fetchedrepositoryConfiguration
- repository configuration which contains package configurationpreviouslyKnownRevision
- last known revision by GOResult checkConnectionToRepository(RepositoryConfiguration repositoryConfiguration)
repositoryConfiguration
- repository configuration for which connectivity should be checkedResult checkConnectionToPackage(PackageConfiguration packageConfiguration, RepositoryConfiguration repositoryConfiguration)
packageConfiguration
- package configuration for which connectivity should be checkedrepositoryConfiguration
- repository configuration which contains package configurationCopyright © 2014 ThoughtWorks, Inc. Go Version: 14.4.0


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