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Instructions:
To adjust controls, click or slide. Number is used for simple mode. Scope and Text are for advanced mode. Text should be any singular general noun.


Maui brush fire that prompted evacuations now 100% contained
by HNN StaffHONOLULU, Hawaii (HawaiiNewsNow) - A brush fire on Maui that triggered evacuations Thursday is now 100% contained.
The fire, first reported about 1:40 p.m. Thursday, was threatening Kahikinui Homesteads on the Southern flank of Haleakala, near Ulupalakua Ranch.
At least a dozen homes were evacuated, but all evacuation orders have been called off and no roads are closed.
Meanwhile, a portion of Piilani Highway that was closed in the area has since reopened.
The flames scorched approximately 300 acres.
On Friday, officials said while the blaze is contained, firefighters continue to monitor it.
This story will be updated.
Copyright 2019 Hawaii News Now. All rights reserved.


--- layout: post status: publish published: true title: '"Don''t forget the color of your check" - Episode 8.47' author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 12005 wordpress_url: http://ivyenvy.com/?p=12005 date: '2016-08-21 21:31:51 +0000' date_gmt: '2016-08-22 02:31:51 +0000' categories: - Podcast tags: [] comments: [] ---
Thanks for downloading the 425th episode of The Ivy Envy Podcast. The Cubs lost their weekend series to the Rockies and we talk about this series. The Cubs got a heck of a start from Mike Montgomery (and a great relief appearance from Cahill). Jason Heyward got the weekend off and hopefully that helps him get back on track at the plate.
The Cubs sent John Lackey and Hecton Rondon to the disabled list and brought up a couple of guys from Iowa. This leads to a discussion on the lack of quality pitching in the farm system.
Kurt shares a Scary Stat of the Week and we read some Internet Muscle Flexes.


This screen searches all resources on the server, regardless of whether they are associated with the implementation guide you have selected as a project from File > "Open Project". Keep in mind that you will only see resources that you have been granted permissions to.
| ID | URL | Name/Title | |||
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Assembly
-
class
compas_assembly.datastructures.
Assembly
(blocks=None, attributes=None, default_vertex_attributes=None, default_edge_attributes=None) Bases:
compas.datastructures.Network
A data structure for discrete element assemblies.
An assembly is essentially a network of assembly elements. Each vertex of the network represents an element of the assembly. Each edge of the network represents an interface between two assembly elements.
- Parameters
blocks (list of
compas_assembly.datastructures.Block
, optional) – A list of assembly blocks.attributes (dict, optional) – User-defined attributes of the assembly. Built-in attributes are:
name (str) : ‘Assembly’
default_vertex_attributes (dict, optional) – User-defined default attributes of the vertices of the network. Since the vertices of the assembly network represent the individual elements, the built-in attributes are:
is_support (bool) : False
default_edge_attributes (dict, optional) – User-defined default attributes of the edges of the network. Since the edges of the assembly network represent the interfaces between the individual elements, the built-in attributes are:
interface_points (list) : None
interface_type ({‘face_face’, ‘face_edge’, ‘face_vertex’}) : None
interface_size (float) : None
interface_uvw (list) : None
interface_origin (list) : None
interface_forces (list) : None
Examples
from compas_assembly.datastructures import Assembly from compas_assembly.datastructures import Block assembly = Assembly() for i in range(2): block = Block.from_polyhedron(6) assembly.add_block(block) print(assembly.summary())
Methods
__init__
([blocks, attributes, …])Initialize self.
add_block
(block[, key, attr_dict])Add a block to the assembly.
add_blocks_from_polysurfaces
(guids)Add multiple blocks from their representation as Rhino poly surfaces.
add_blocks_from_rhinomeshes
(guids)Add multiple blocks from their representation as as Rhino meshes.
copy
()Make an independent copy of an assembly.
draw
([settings])Convenience function for drawing the assembly in Rhino using common visualisation settings.
from_json
(filepath)Construct an assembly from the data contained in a JSON file.
Compute the total number of interface vertices.
subset
(keys)Create an assembly that is a subset of the urrent assembly.
to_json
(filepath)Serialise the data dictionary representing an assembly to JSON and store in a file.
Inherited Methods
add_edge
(u, v[, attr_dict])Add an edge and specify its attributes.
add_vertex
([key, attr_dict])Add a vertex and specify its attributes (optional).
clear
()Clear all the network data.
Clear only the edges.
Clear only the half-edges.
Clear only the vertices.
delete_edge
(u, v)Delete an edge from the network.
delete_vertex
(key)Delete a vertex from the network.
dump
(filepath)Dump the data representing the network to a file using Python’s built-in object serialisation.
dumps
()Dump the data representing the network to a string using Python’s built-in object serialisation.
edge_connected_edges
(u, v)Return the edges connected to an edge.
edge_coordinates
(u, v[, axes])Return the coordinates of the start and end point of an edge.
edge_direction
(u, v)Return the direction vector of an edge.
edge_label_name
(u, v)Get the name of an edge label.
edge_length
(u, v)Return the length of an edge.
edge_midpoint
(u, v)Return the location of the midpoint of an edge.
edge_name
(u, v)Get the name of an edge.
edge_point
(u, v[, t])Return the location of a point along an edge.
edge_vector
(u, v)Return the vector of an edge.
edges
([data])Iterate over the edges of the network.
edges_where
(conditions[, data])Get edges for which a certain condition or set of conditions is true.
from_data
(data)Construct a datastructure from structured data.
from_lines
(lines[, precision])Construct a network from a set of lines represented by their start and end point coordinates.
from_obj
(filepath[, precision])Construct a network from the data contained in an OBJ file.
from_vertices_and_edges
(vertices, edges)Construct a network from vertices and edges.
Get the identifier of a random edge.
Get the identifier of a random vertex.
get_any_vertices
(n[, exclude_leaves])Get a list of identifiers of a random set of n vertices.
get_edge_attribute
(key, name[, value])Get the value of a named attribute of one edge.
get_edge_attributes
(key, names[, values])Get the value of a named attribute of one edge.
get_edges_attribute
(name[, value, keys])Get the value of a named attribute of multiple edges.
get_edges_attributes
(names[, values, keys])Get the values of multiple named attribute of multiple edges.
get_vertex_attribute
(key, name[, value])Get the value of a named attribute of one vertex.
get_vertex_attributes
(key, names[, values])Get the value of a named attribute of one vertex.
get_vertices_attribute
(name[, value, keys])Get the value of a named attribute of multiple vertices.
get_vertices_attributes
(names[, values, keys])Get the values of multiple named attribute of multiple vertices.
gkey_key
([precision])Returns a dictionary that maps geometric keys of a certain precision to the keys of the corresponding vertices.
has_edge
(u, v[, directed])Verify if the network contains a specific edge.
has_vertex
(key)Verify if a specific vertex is present in the network.
Returns a dictionary that maps the indices of a vertex list to keys in a vertex dictionary.
index_uv
()Returns a dictionary that maps edges in a list to the corresponding vertex key pairs.
is_vertex_connected
(key)Verify if a specific vertex is connected.
is_vertex_leaf
(key)Verify if a vertex is a leaf.
key_gkey
([precision])Returns a dictionary that maps vertex dictionary keys to the corresponding geometric key up to a certain precision.
Returns a dictionary that maps vertex dictionary keys to the corresponding index in a vertex list or array.
leaves
()Return all leaves of the network.
load
(filepath)Load serialised network data from a pickle file.
loads
(s)Load serialised network data from a pickle string.
Compute the number of edges of the network.
Compute the number of vertices of the network.
plot
([vertexcolor, edgecolor, vertexsize, …])Plot a 2D representation of the network.
set_edge_attribute
(key, name, value)Set one attribute of one edge.
set_edge_attributes
(key, names, values)Set multiple attributes of one edge.
set_edges_attribute
(name, value[, keys])Set one attribute of multiple edges.
set_edges_attributes
(names, values[, keys])Set multiple attributes of multiple edges.
set_vertex_attribute
(key, name, value)Set one attribute of one vertex.
set_vertex_attributes
(key, names, values)Set multiple attributes of one vertex.
set_vertices_attribute
(name, value[, keys])Set one attribute of multiple vertices.
set_vertices_attributes
(names, values[, keys])Set multiple attributes of multiple vertices.
split_edge
(u, v[, t])Split and edge by inserting a vertex along its length.
summary
()Print a summary of the mesh.
to_data
()Returns a dictionary of structured data representing the data structure.
to_lines
([axes])Return the lines of the network as pairs of start and end point coordinates.
to_obj
()Write the network to an OBJ file.
to_points
([axes])Return the coordinates of the network.
Return the vertices and edges of a network.
update_default_edge_attributes
([attr_dict])Update the default edge attributes (this also affects already existing edges).
update_default_vertex_attributes
([attr_dict])Update the default vertex attributes (this also affects already existing vertices).
uv_index
()Returns a dictionary that maps edge keys (i.e.
Return the edges connected to a vertex.
vertex_coordinates
(key[, axes])Return the coordinates of a vertex.
vertex_degree
(key)Return the number of neighbors of a vertex.
vertex_degree_in
(key)Return the numer of incoming neighbors of a vertex.
vertex_degree_out
(key)Return the number of outgoing neighbors of a vertex.
vertex_label_name
(key)Get the name of a vertex label.
vertex_laplacian
(key)Return the vector from the vertex to the centroid of its 1-ring neighborhood.
Compute the maximum degree of all vertices.
Compute the minimum degree of all vertices.
vertex_name
(key)Get the name of a vertex.
vertex_neighborhood
(key[, ring])Return the vertices in the neighborhood of a vertex.
Compute the centroid of the neighboring vertices.
vertex_neighbors
(key)Return the neighbors of a vertex.
vertex_neighbors_in
(key)Return the incoming neighbors of a vertex.
vertex_neighbors_out
(key)Return the outgoing neighbors of a vertex.
vertices
([data])Iterate over the vertices of the network.
vertices_where
(conditions[, data])Get vertices for which a certain condition or set of conditions is true.


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An attempt to intuitively explain HDP, and why it makes sense to use HDPs for joint mixture modeling of multiple related datasets.
Suppose we consider that every document discusses a set of topics. Our task is to learn the topics. We apriori do not know how many topics are there in a document. A salient approach to this problem is non-parametric Bayesian modeling, wherein we use a Dirichlet Process (DP) prior, which offers probabilities to infinite topics apriori. Using the document data, we could pick the required finite topics a posteriori.
Now, it is natural to expect that various documents share topics. For example, a document on Beta Processes and a document on Gaussian Processes might share a topic like Stochastic. Learning topics for each document seperately denies us an opportunity to share data across documents. We could’ve learned about the topic Stochastic better if we jointly learned on both documents. Note that we don’t want to club both documents into one! This destroys the individual document structure. A solution in statistics which enables joint learning while preserving the document structure is the hierarchical modeling technique.
Let’s take 2 documents, and put up
One appealing aspect of the model is its recursiveness, as in, we could easily extend the model to another level of hierarchy by sampling H from another DP. This can be used to learn topics jointly from multiple corpora. For example, it is likely that documents from Statistics corpora and Computer Science corpora share a topic like ’Python’.
2
How are
The CRP metaphor for Dirichlet Process can be extended to the Chine Restaurant Franchise metaphor to explain HDP intuitively. The core idea is that, in addition to customers going to restaurants and picking tables, we now have tables taking up a customer role and going to a parent restaurant. For simplicity's sake, let's take the case of 2 restaurants X and Y. A, B, C are tables in restaurant X which has 4 customers. D and E are tables in restaurant Y with 5 customers. The parent restaurant has tables p, q, and r, with the 5 tables from two restaurants being customers. The customer seating arrangement is as shown in Figure 1. Since A and D sit at table p, it means the dishes served at table A and D would be the same as p.
Suppose a new customer 5 comes in restaurant X. She would sit at table A with probability
| Table/Dish | Probability |
|---|---|
| p | |
| q | |
| r | |
| New Dish |
In case the waiter sits at table p, she'd call restaurant X and tell the chef to serve dish p at the new table that customer 5 chose. If the waiter chooses a new dish, say s, then this new dish s will be served to customer 5.
The process in similar in Restaurant Y too. A new customer would either sit at one of the tables, or choose to sit at a new table. If she prefers a new table, a waiter would go to the parent restaurant and choose a dish according to another CRP. Notice that there is a global set of dishes; a subset of those dishes is being served in each restaurant.
4
The dishes p, q, r are analogous to
The article was prepared using the Distill Template
I wrote this article as a part of the course CS698X: Probabilistic Modeling and Inference by Prof. Piyush Rai
If you see mistakes or want to suggest changes, please contact me


Squash commits when merging Do not squash commits when merging
Delete source branch when merging Do not delete source branch when merging


Who is going to win the 2019 General Election? Conservatives ahead in odds
As the General Election draws closer, latest odds suggest that the Conservatives are on course for a win following the ITV leaders debate between Boris Johnson and Jeremy Corbyn last night.
According to bookmakers Coral, the Tories – who were already ahead in the polls before the debate – now have odds of just 1-20 of winning the most seats at the polls on 12 December – with Labour’s odds of an overall majority having drifted.
Since the debate – which left viewers divided as to who won – the Labour party’s odds on that front are now a distant 25-1 – behind no majority being reached, which is second in the betting at 7-4.
‘Johnson and Corbyn locked horns last night for the first leadership debate but the reaction from a betting point of view is that the Conservatives are continuing to motor towards a majority,’ said Coral’s Harry Aitkenhead.
‘We have them as the overwhelming favourites to win the most seats and they are odds on to claim the majority that Johnson is desperate for.’
Advertisement Advertisement
With odds having shortened on a Conservative win, the odds on Brexit happening have also dropped, with the bookmaker now offering odds of 1-2 on the UK having left the EU by 1 February.
‘Brexit was a major talking point last night, unavoidably’ Aitkenhead added, ‘and we make it odds on that the UK has finally left the EU by February the 1st, 2020.’
Here’s how the betting for the election is currently shaping up.
Who is going to win the 2019 General Election?
To get the most seats
- Conservatives 1-20
- Labour 10-1
- Lib Dems 66-1
- Brexit Party 250-1
- Green Party 500-1
To win an overall majority
- Conservatives 1-2
- No majority 7-4
- Labour 25-1
Brexit to happen by 1st February 2020
- 1-2 Yes
- 6-4 No


|
Properties
|
| message |
string | Element |
|
Please wait...
|
Message displayed when blocking (use null for no message). |
| css |
IAutBlockUICssOption |
|
|
Styles for the message when blocking. |
| overlayCss |
IAutBlockUIOverlayCssOption |
|
|
Styles for the overlay. |
| cursorReset |
string |
|
default |
Style to replace wait cursor before unblocking to correct issue of lingering wait cursor |
| iframeSrc |
string |
|
default |
IE issues: 'about:blank' fails on HTTPS and javascript:false is s-l-o-w |
| forceIframe |
boolean |
|
false |
Force usage of iframe in non-IE browsers (handy for blocking applets) |
| baseZ |
number |
|
1020 |
z-index for the blocking overlay |
| centerX |
boolean |
|
true |
Set these to true to have the message automatically centered. Only effects element blocking (page block controlled
via css above). |
| centerY |
boolean |
|
true |
Set these to true to have the message automatically centered. |
| allowBodyStretch |
boolean |
|
true |
Sllow body element to be stetched in ie6; this makes blocking look better on "short" pages. Disable if you wish to
prevent changes to the body height |
| bindEvents |
boolean |
|
true |
Enable if you want key and mouse events to be disabled for content that is blocked |
| constrainTabKey |
boolean |
|
true |
Be default blockUI will supress tab navigation from leaving blocking content (if
bindEvents is
true ). |
| fadeIn |
number |
|
200 |
fadeIn time in millis; set to 0 to disable fadeIn on block |
| fadeOut |
number |
|
400 |
fadeOut time in millis; set to 0 to disable fadeOut on unblock |
| timeout |
number |
|
0 |
Time in millis to wait before auto-unblocking; set to 0 to disable auto-unblock |
| showOverlay |
boolean |
|
true |
Disable if you don't want to show the overlay |
| focusInput |
boolean |
|
true |
if
true , focus will be placed in the first available input field when page blocking |
| quirksmodeOffsetHack |
number |
|
4 |
If you really must know:
More info
|
| blockMsgClass |
string |
|
blockMsg |
Class name of the message block |
| ignoreIfBlocked |
boolean |
|
false |
If it is already blocked, then ignore it (don't unblock and reblock) |
| useSpinner |
boolean |
|
true |
Use spinner for blocking. If you want to use your own custom message, you should set
useSpinner to
false . |
| spinnerColor |
string |
|
.primary |
Set spinner color. If you want to set
class instead of color for
spinnerColor you should name it with a
. (dot) . |
| spinnerSize |
string |
|
12px |
Set spinner size. |


How to set any page as the Login page for the site. This setting enables you to create a custom Login page rather than using the default login page which only displays the Account Login module. If a Login page is not set, the default Login page is used. The default login page requires the Login skin object to be included in the skin.
Warning: Do not apply this setting without first adding an Account Login module to the page you are selecting and ensure the page is available to All Users. If you have logged out of the site and do not have an Account login module viewable by 'All Users' you will be unable to log in again. If this occurs, enter your site URL into the address bar of your Web browser and add "login.aspx" to the end of the URL. E.g. http://www.awesomecycles.biz/Login.aspx
. This will display the default login page.


England's Anderson could be back for SA tour
London - England pace bowler James Anderson has revealed he is "progressing nicely" as he steps up his return from a calf injury.
Anderson only bowled four overs in the first Ashes Test against Australia earlier this year before suffering the injury.
England's all-time leading wicket-taker missed the rest of the Ashes and remains sidelined for the current tour of New Zealand.
But on Friday the Lancashire star tweeted a video of him bowling in a net session alongside former England batsmen Marcus Trescothick and Jonathan Trott, as well as an encouraging update on his fitness.
"Another day of building up my bowing. Progressing nicely. Happy the two guys on the right weren't batting!" Anderson said.
Although Anderson was omitted from the New Zealand trip in order to build up his fitness, the 37-year-old could feature when England head to South Africa.
The series in South Africa begins on Boxing Day and forms part of the ICC World Test Championship.


TC, or "triangle consolidator", constructs triangle strips or triangle fans from independent triangle data. The geometric transformation of 3D points onto a 2D screen involves some heavy math, and you can realize a performance benefit by reusing the results of that math where possible. Each new triangle strip or fan is constructed from one of the edges of the previous triangle and a new vertex.
You can achieve 3x performance minus the cost of transforming the first two vertices per strip. Thus it's important that strips and fans are made as long as possible (fewer strips and fans). Some architectures have a maximum preferred strip length, after which the engine may stall.
I wrote meshifier in 1995 because Sharon Clay at Silicon Graphics asked me how I might construct strips from a lattice of triangles as an interview question. It has some fundamental architectural limitations. Some, like an error in the reset code and being able to specify that triangles should not be output in reverse order, have been fixed by Neal Tringham and are incorporated in the new version available from his web page. Others, such as the limitation on numbers of vertices and connectivity, are harder to repair.
In "TC" I've attempted to fix those old errors. TC attempts to consolidate triangles limited only by the limits of the machine' available memory and speed. I have changed the API, using OpenGL as a loose model (although OpenGL arguably has its shape because it provides a hardware abstraction layer), so that more algorithmic abstractions and optimizations are possible. I have tried to build in features which are useful to modelers and offline optimization tools, such as whether or not to honor vertex ordering. I have also spent a few days trying to test the code nominally and attempt to have some confidence that even its low-memory behavior is predictable.
I hope you find it useful. ---Brad Grantham
The namespace of all functions and identifiers in TC is protected using
the initials of my software organization Applied Conjecture and
TC
. All functions in TC are prefixed with actc
.
All symbolic constants and #defines
are prefixed with
ACTC_
. All exported data structures are prefixed with
ACTC
.
ACTCData
consolidator object is created using the
following code. This structure contains state data about optional
parameters and triangle connectivity. actcNew
returns
either an initialized ACTCData
object if successful or
NULL if memory cannot be allocated.
#include <ac/tc.h> ACTCData *tc; tc = actcNew(); if(tc == NULL) { /* memory allocation failed */ /* print error here and exit or whatever */ }Any errors encountered during execution are typically both returned as results from a TC function and stored in the structure. The error can be retrieved using
actcGetError
. Here is an example of adding a
triangle and checking the error.
actcAddTriangle(tc, v1, v2, v3); if((e = actcGetError(tc)) != ACTC_NO_ERROR) { /* something bad happened */ /* print error and exit or whatever */ }A more compact representation may not use
actcGetError
at
all, since many functions return either the error or
ACTC_NO_ERROR
.
if((e = actcAddTriangle(tc, v1, v2, v3)) != ACTC_NO_ERROR) { /* something bad happened */ /* print error and exit or whatever */ }Since the error is reset in the structure by
actcGetError
, it makes sense to go with either one style or
the other, to avoid being confused when a later return from
actcGetError
returns an error which has already been
handled. Errors are represented by negative integers, so some
functions may return non-error information as a positive integer.
Slightly smarter applications may try
to detect some failure conditions and proceed after some kind of
repair.
actcAddTriangle(tc, v1, v2, v3); e = actcGetError(tc); if(e == ACTC_ALLOC_FAILED) { /* couldn't alloc memory using one of the malloc(3) family */ /* application can free unused memory and try again */ } else if(e != ACTC_NO_ERROR) { /* something bad happened other than malloc failure */ /* print error and exit or whatever */ }For simplicity, examples in the remainder of the programmers' guide will not check for errors but will mention where errors may occur. Several functions can result in the error ACTC_DATABASE_CORRUPT but are not noted here; that particular error return indicates corruption of ACTC's internal data structures and really requires debugging (as described below).
ACTC_OUT_HONOR_WINDING
symbolic constant. These values are set
by actcParami
and retrieved by actcGetParami
.
int isHonoringWinding; actcParami(tc, ACTC_OUT_HONOR_WINDING, ACTC_TRUE); actcGetParami(tc, ACTC_OUT_HONOR_WINDING, &isHonoringWinding);
actcGetParami
accepts two additional symbolic
constants which may
not be set by the application. ACTC_MAJOR_VERSION
and
ACTC_MINOR_VERSION
return the major version number and
minor version number, respectively.
Parameters are differentiated by the direction of the data they
control. OUT
parameters control how TC hands its
consolidated primitives back to you. IN
parameters tell
TC the limits you intend to guarantee on your input data, which may
used for optimization purposes. ALG
parameters directly
affect the internal algorithms used by TC. Some parameters require
the extended range of unsigned int
, and they can be set
and queried by actcParamu
and actcGetParamu
,
but both sets of Param...
functions take the same symbolic
constants and convert to-and-from the range of their parameter or
return variable. Here are the parameters available in TC 1.1:
| Enumerant | Data type | Meaning | Prefer Paramu |
|---|---|---|---|
| ACTC_OUT_MIN_FAN_VERTS | integer | Minimum number of vertices returnable in a triangle fan | No |
| ACTC_OUT_HONOR_WINDING | boolean | Whether triangles may be output in reverse vertex order | No |
| ACTC_OUT_MAX_PRIM_VERTS | integer | Maximum number of vertices to output in a primitive | No |
| ACTC_IN_MIN_VERT | integer | Minimum vertex index | Yes |
| ACTC_IN_MAX_VERT | integer | Maximum vertex index | Yes |
| ACTC_IN_MAX_VERT_SHARING | integer | Maximum number of edges that will share a vertex | No |
| ACTC_IN_MAX_EDGE_SHARING | integer | Maximum number of triangles that will share an edge | No |
If called during INPUT
or OUTPUT
,
actcParami
can result in ACTC_DURING_INPUT
,
or ACTC_DURING_OUTPUT
, respectively. If called to set
ACTC_IN_MIN_VERT
or ACTC_IN_MAX_VERT
so the
vertex range is negative, or to set
ACTC_OUT_MAX_PRIM_VERTS
to less than 3, or to set a value
associated with a symbolic constant ACTC does not know about, then the
error ACTC_INVALID_VALUE
will result.
actcParami(tc, ACTC_OUT_MAX_PRIM_VERTS, 14); actcBeginInput(tc); actcAddTriangle(tc, 1, 2, 3); actcEndInput(tc); actcBeginOutput(tc); prim = actcStartNextPrim(tc, &v1, &v2); actcGetNextVert(tc, &v3); actcEndOutput(tc); /* v1, v2, and v3 are now set to 1, 2, and 3. */
actcEndInput
and actcEndOutput
are intended as
checkpoints for optimization, compaction, etc. Your application can
call actcGetIsDuringInput
and
actcGetIsDuringOutput
to determine if the TC object is
currently ready in the input or output stages (or is otherwise idle).
If actcParami
is called during input or output, an error of
either ACTC_DURING_INPUT
or ACTC_DURING_OUTPUT
results, respectively.
actcAddTriangle
, and the possible results may be
ACTC_DURING_OUTPUT
if TC is in output mode,
ACTC_IDLE
if TC is not in input mode, or
ACTC_ALLOC_FAILED
if an internal data structure could not
be allocated. In the last case, the database is not altered. An
application could perform compaction on its own data and try
actcAddTriangle
again, or it could attempt to retrieve all
the primitives currently available from the database. This would
probably give worse results (more primitives, fewer vertices per
primitive) than retrieving primitives from the complete database but
may be better than getting no primitives at all.
int triCount; int tris[][3]; actcBeginInput(tc); for(i = 0; i < triCount; i++) actcAddTriangle(tc, tris[i][0], tris[i][1], tris[i][2]); actcEndInput(tc);
unsigned int
, and so
anywhere from 0 to UINT_MAX
, inclusive. Internal data
structures allow quantity INT_MAX
vertices, edges, triangles,
vertex valences, and edge valences to be input. With the data
structures TC uses
as of version 1.1, on most machines at the time of writing, a process'
memory space will be exhausted before the range of any of these items
is exhausted. As of version 1.1, TC has not been tested on an
architecture with integers or pointers larger that 32 bits.
actcStartNextPrim
. The primitive type is returned, either
ACTC_PRIM_STRIP
or ACTC_PRIM_FAN
.
actcStartNextPrim
may also return
ACTC_DATABASE_EMPTY
if all triangles input so far have been
returned in primitives. actcStartNextPrim
stores the first
two vertices by reference, and
actcGetNextVert
provides each subsequent vertex.
actcGetNextVert
will return ACTC_PRIM_COMPLETE
when their are no more vertices to return.
int prim; int v1, v2; actcBeginOutput(tc); while((prim = actcStartNextPrim(tc, &v1, &v2) != ACTC_DATABASE_EMPTY) { /* start a primitive of type "prim" with v1 and v2 */ while(actcGetNextVert(tc, &v3) != ACTC_PRIM_COMPLETE) /* continue primitive using v3 */ } actcEndOutput(tc);
actcTrianglesToPrimitives
which inputs triangles and
extracts primitives, including attempting to recover from low-memory
situations by first draining the primitive database, and then by
cleaning up unused memory if draining is not sufficient. Since TC
cannot know in advance how many primitives it can find (and thus how
many vertices), the application will have to provide primitive storage
large enough to hold the input data as independent triangles. The
application may also tell actcTrianglesToPrimitives
how
many triangles to input to TC before draining the database.
The following example shows how an application might call
actcTrianglesToPrimitives
; here the application has provided
INT_MAX
as the maximum batch size in triangles, which
effectively means input all the triangles first before outputting.
int triangleCount; int triangles[][3]; int *primLengths; int *primVerts; int *primCount; /* get triangleCount and triangles from somewhere */ primLengths = (int *)malloc(sizeof(int) * triangleCount); primTypes = (int *)malloc(sizeof(int) * triangleCount); primVerts = (int *)malloc(sizeof(int) * 3 * triangleCount); primCount = actcTrianglesToPrimitives(tc, triangleCount, triangles, primTypes, primLengths, primVerts, INT_MAX); if(primCount < 0) { /* something bad happened */ /* print error and exit or whatever */ }
actcTrianglesToPrimitives
calls
actc{Begin,End}{Input,Output}
, actcAddTriangle
,
actcGetNext{Prim,Vertex}
, and actcMakeEmpty
.
It returns any unrecoverable error it may receive from these functions,
or it will return the total number of strips and fans it finds. The types
and length in vertices of all primitives are stored in primTypes and
primLengths, and then the vertices for each primitive in turn are
stored sequentially in primVerts.
actcGetMemoryAllocation
to make TC search how much
memory is being used in data structures. This may be an expensive
operation in TC 1.1 in that it searches the allocated data structures.
actcDumpState
to print out the internal state of a TC
object (in no particular format). In order for me to help you debug a
problem, it would be useful to print out the TC version number, the
triangles you input to TC (in the order you input them), and the
output of actcDumpState
at the beginning and end of your
output phase. actcDumpState
has no return value.
actcMakeEmpty
; the TC object will
be reset to idle, contain no triangles, and will be ready for another
set of input triangles. actcMakeEmpty
returns any error
that occurs during cleanup, but for the 1.1 release it can only return
ACTC_NO_ERROR
.
To free the memory associated with a TC object, call
actcDelete
with the pointer to the object; this function
effectively calls actcMakeEmpty
and then frees the TC
internal data. Further use of that TC object pointer will have
undefined results but will probably crash your application.
ACTC_OUT_MIN_FAN_VERTS
to INT_MAX. Technically, a very
large triangle fan could still be formed, but when someone creates a
two billion vertex triangle fan with TC, I will consider it a success
rather than a failure.
actcParami(tc, ACTC_OUT_MIN_FAN_VERTS, INT_MAX);
ACTC_OUT_MAX_PRIM_VERTS
to set the maximum number of vertices to produce
per primitive.
actcParami(tc, ACTC_OUT_MAX_PRIM_VERTS, 12);
ACTC_OUT_HONOR_WINDING
to FALSE or 0. This has the effect of allowing
a triangle to be included in a primitive even if its vertices would
be drawn in reverse order. Note that every odd triangle in a strip
(counting from 0) will normally be wound backwards if winding is
honored.
actcParami(tc, ACTC_OUT_HONOR_WINDING, ACTC_TRUE);
.a
library. The makefile provided by default has targets for the library and
the sample programs:
make libactc.aTo turn on some simple debugging assistance, compile TC with the
DEBUG
preprocessor symbol defined (-DDEBUG
for most UNIX compilers). Error conditions should print the reason
and the function in which the error occurred. Any function finding an
unexpected inconsistency in data structures (like performing a table
search and not finding an element which must be there) will call
abort()
and presumably dump core. I wouldn't expect any
ordinary application developer to be able to debug TC from a core
file, of course. If INFO
is also defined, then the
abort()
call will be preceded by a dump of the internal
data structures in tc. If you would like me to debug TC based on your
input, it would help me to have this output as well as the set of
triangles originally input to TC.
actctest
program makes sure the basic TC functions
work. If it prints anything when compiled with actc.c without
DEBUG
and INFO
, then something bad
happened.
The actctest2
program repeatedly inputs random data into TC
and makes sure it gets the same thing out as it received. You can
specify settings for any of the OUT
parameters, and change the
seed that actctest2
uses to initialize the random number
generator.
The actcsample
program takes in a particular word-based format
containing
vertices and triangles, and converts that data into strips and fans. It
passes the vertex list through verbatim. Someone could
use this either as an element in a tool pipeline or as the basis for a
new offline or interactive stripping tool.  The set of vertices are terminated by the word
end
. Vertices are
optional and are only passed straight through. For each triangle, v1,
v2, and v3 are the indices of each vertex in the triangle.
Each triangle is terminated by the word end
, and the list
of triangles is terminated by end
. The output format is
similar, except that the triangle
section is replaced by a list
of primitives. Here's what the output format looks like:
[x y z nx ny nz r g b] [x y z nx ny nz r g b] [...] end strip v1 v2 v3 [v4 [v5 [...]]] end fan v1 v2 v3 [v4 [v5 [...]]] end [...] endRunning
actctest2
, and it will need tweaking on anything
but Linux, IRIX, and Windows 98. If you'd like to submit a patch to
"timer" for another operating system, I will place it on my web page
and incorporate it into TC.
I have tested TC's performance against an optimized meshifier modified by Randall Frank at Lawrence Livermore National Labs and meshifier appears to run about twice as fast, probably because it doesn't check for errors internally very well and makes some assumptions about vertex and edge connectivity. Perhaps TC could approach that performance level if the internal consistency checks were made to compile conditionally.
The algorithm attempts to remove all the triangle fans first. I've found
that this works for fewer than half of the simple data files I've tried.
For 1.1 the default value associated with ACTC_OUT_MIN_FAN_VERTS
is set to INT_MAX. Other good values appear to be near 8 and 16. You'll
have to try it yourself to see how it works with your data.
One could conceivably implement simulated annealing with TC. An application would repeatedly calculate solutions to triangle sets with TC, swapping the order of some number of triangles, each time choosing the better solution. As time goes on, the number of triangles rotated could be reduced. Simulated annealing will typically give a pretty good solution while allowing the application to choose how much time it cares to spend to find a solution.
Revision Control Information: $Header: /home/grantham/cvsroot/projects/modules/tc/manual.html,v 1.15 2000/11/22 20:18:26 grantham Exp $


October 10th
October 10th
Lecture
- Multipul ways to itentify something. In certian situations one way might be more better than another to use to identify.
- hostname:Mnemonic way to identify an address. Useful for people, but not computers. Tells little about computer/server's location. Made of variable alphanumeric characters.
- IP addres:IP numbers are the social security numbers to websites. Decimal formatted, 4 numbers, 0-255 seperate by a period. (ie. <IP_ADDRESS>). Heirarchical, read left to right.
- DNS:(Domain Name System)A data base that links hostnames to IP addresses. Distributed database and an API. Berkeley Internet Name Domain (BIND) uses the DNS. Runs on UDP transport protocol on port number 53 (love bug: 53). Adds delay, usually short, sometimes a little longer. Usually delay is shortened by nearby lower level DNS servers cacheing commonly used urls for fast lookup. Used indirectly.
- cache: Local memory that stores what you looked up last. Used everywhere to speed up preformance.
- Host aliasing: A DNS service. When there are multipul host names that point to an IP address it makes sure that they both direct to the correct location or the canonical hostname.
- Mail server aliasing: A DNS service. Allows the lookup of the canonical hostname of the email address.
- Load distribution:A DNS service. For large websites with multipul IP addresses it roates which address is used to avoid overloading one server. This balances the amount of users requesting each server.
-
- DNS Problems, for simple centralized design:
- Single point failure: If the DNS server crashes so does the internet (assuming one server).
- Traffic volume: One server would have to handle all traffic, would become incredibly slow.
- Distant centralized database: Delays created by DNS server being physically far away.
- Maitenance: Would have to contain addresses and hostnames for the whole internet, would be huge and require frequent updates.
- Alternate
- Root DNS servers: Main root servers that contain whole or most of DNS. Multipul with lower level servers below them. There are 13 root servers atm.
- Top-level domain (TLD) servers: Responsible for top-level domains, which as .com, .org., .net, .edu, and .gov and country level domains.
- Authoritative DNS servers: Organizations on the internet had an authoritative DNS server that houses the records of their host names and IP addresses. Such as universities and large companies.
- DNS message
- Identification (2 bytes)
- Flags (2 bytes)
- # of Questions (2 bytes)
- # of answer RRs (2 bytes)
- # of authority RRs (2 bytes)
- # of additional RRs (2bytes)
- Questions
- Answers
- Authority
- additional info
- DNS vulnerabilities
- DDoS attacks: either sending packets to the root servers in large amounts to slow them down and stop replies. Or send many DNS queires to top-level-domain servers to slow them down.
-
- Man in the middle: Intercepts queries from hosts and returns bogus replies. This redirects people to false websites.
- DNS poisioning: Sends a bogus reply to the DNS server so it caches the false records.
- Use DNS to create a DDoS against a server, by sending queires to many authoritative DNS servers, each having the spoofed source address of the target host. If packets are larger in bytes than query then they can potentially overwhelm a target.
- Wireshark
- Packet sniffing softwear
- Displays info such as source address, destination address, frames, contents, protocol, etc.
- Allows you to see traffic between computer and other hosts on the internet
- Allows you to filter packets by protocol, ip addresses, etc. In real time.
Lab
Nothing (wireshark labs)


val pipeline: ApplicationReceivePipeline
Overrides ApplicationRequest.pipeline
Pipeline for receiving content


Large Scale iOS Development: Case Study
10 Feb 2014This starts part one of a many part series on scaling iOS development. By scaling I don't mean adding more CPU or more nodes. I mean evolving an existing codebase with a big and evolving development team.
The following is a recollection (some retrospective decisions) of a project I was involved with a while ago and what we did.
Case Study
Inheriting a codebase is not the best of situations especially when the original developers/lead had made no attempt to build a scalable solution nor did they have the foresight of what this codebase would turn into. Code where logic is not separated into its distinct layers, repeated code, Observers that trigger other observers, business logic in the view layer, just bad everywhere you turned.
If we were going to maintain and scale this codebase, we had to drastically rethink the organisation of this project and a complete refactor was out of the question.
Luckily the code we were contracted to do was a complete new feature set so we did not need to really touch the existing code base all that much.
Implementing changes.
Testing -- This was our biggest concern at the beginning, retro-fitting both acceptance and unit tests on the existing code base. That make it easier to refactor/abstract large segments of the existing codebase with (less) worry about regression.
Continuous Integration -- At this stage with out projects separated and regression suites complete we had the project building, testing and deploying on every commit.
Project Abstraction -- By the end we had split the application up into several distinct projects, Built into static libraries and resource bundles.
New Features -- At this point we began implementing new features. With new features came new complexity, new projects and dependencies.
And thats basically it, not only did we successfully (on time, budget) deliver the software but were able to fix many performance bugs and memory leaks which existed in the code.
Future posts will address the key points in detail with (some) implementation detail and tutorial.


Documenting Kotlin Code
The language used to document Kotlin code (the equivalent of Java's JavaDoc) is called KDoc. In its essence, KDoc combines JavaDoc's syntax for block tags (extended to support Kotlin's specific constructs) and Markdown for inline markup.
Generating the Documentation
Kotlin's documentation generation tool is called Dokka. See the Dokka README for usage instructions.
Dokka has plugins for Gradle, Maven and Ant, so you can integrate documentation generation into your build process.
KDoc Syntax
Just like with JavaDoc, KDoc comments start with /**
and end with */
. Every line of the comment may begin with
an asterisk, which is not considered part of the contents of the comment.
By convention, the first paragraph of the documentation text (the block of text until the first blank line) is the summary description of the element, and the following text is the detailed description.
Every block tag begins on a new line and starts with the @
character.
Here's an example of a class documented using KDoc:
/**
* A group of *members*.
*
* This class has no useful logic; it's just a documentation example.
*
* @param T the type of a member in this group.
* @property name the name of this group.
* @constructor Creates an empty group.
*/
class Group<T>(val name: String) {
/**
* Adds a [member] to this group.
* @return the new size of the group.
*/
fun add(member: T): Int { ... }
}
Block Tags
KDoc currently supports the following block tags:
@param <name>
Documents a value parameter of a function or a type parameter of a class, property or function. To better separate the parameter name from the description, if you prefer, you can enclose the name of the parameter in brackets. The following two syntaxes are therefore equivalent:
@param name description.
@param[name] description.
@return
Documents the return value of a function.
@constructor
Documents the primary constructor of a class.
@receiver
Documents the receiver of an extension function.
@property <name>
Documents the property of a class which has the specified name. This tag can be used for documenting properties declared in the primary constructor, where putting a doc comment directly before the property definition would be awkward.
@throws <class>
, @exception <class>
Documents an exception which can be thrown by a method. Since Kotlin does not have checked exceptions, there is also no expectation that all possible exceptions are documented, but you can still use this tag when it provides useful information for users of the class.
@sample <identifier>
Embeds the body of the function with the specified qualified name into the documentation for the current element, in order to show an example of how the element could be used.
@see <identifier>
Adds a link to the specified class or method to the See Also block of the documentation.
@author
Specifies the author of the element being documented.
@since
Specifies the version of the software in which the element being documented was introduced.
@suppress
Excludes the element from the generated documentation. Can be used for elements which are not part of the official API of a module but still have to be visible externally.
KDoc does not support the
@deprecated
tag. Instead, please use the@Deprecated
annotation.
Inline Markup
For inline markup, KDoc uses the regular Markdown syntax, extended to support a shorthand syntax for linking to other elements in the code.
Linking to Elements
To link to another element (class, method, property or parameter), simply put its name in square brackets:
Use the method [foo] for this purpose.
If you want to specify a custom label for the link, use the Markdown reference-style syntax:
Use [this method][foo] for this purpose.
You can also use qualified names in the links. Note that, unlike JavaDoc, qualified names always use the dot character to separate the components, even before a method name:
Use [kotlin.reflect.KClass.properties] to enumerate the properties of the class.
Names in links are resolved using the same rules as if the name was used inside the element being documented. In particular, this means that if you have imported a name into the current file, you don't need to fully qualify it when you use it in a KDoc comment.
Note that KDoc does not have any syntax for resolving overloaded members in links. Since the Kotlin documentation generation tool puts the documentation for all overloads of a function on the same page, identifying a specific overloaded function is not required for the link to work.
Module and Package Documentation
Documentation for a module as a whole, as well as packages in that module, is provided as a separate Markdown file,
and the paths to that file is passed to Dokka using the -include
command line parameter or the corresponding parameters
in Ant, Maven and Gradle plugins.
Inside the file, the documentation for the module as a whole and for individual packages is introduced by the corresponding first-level
headings. The text of the heading must be "Module <module name>
" for the module, and "Package <package qualified name>
" for a package.
Here's an example content of the file:
# Module kotlin-demo
The module shows the Dokka syntax usage.
# Package org.jetbrains.kotlin.demo
Contains assorted useful stuff.
## Level 2 heading
Text after this heading is also part of documentation for `org.jetbrains.kotlin.demo`
# Package org.jetbrains.kotlin.demo2
Useful stuff in another package.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
Great dressings and quick pickled cucumber make this starter for two a feast for the tastebuds.
For the venison, place the chopped thyme and salt on a chopped board and mix. Roll the venison loin in the mix, coating all round. Season with pepper.
Heat a medium frying pan and add the oil. When the oil is hot, sear the venison all over and cook for 8-10 minutes, turning while cooking.
Put the cucumber slices in a sieve and add salt. Leave for a few minutes and then squeeze out excess water, mix with the vinegar and sugar and drain again. Set aside until needed.
For the crispy onions, fill a deep-fat fryer or a large, deep, heavy-bottomed pan two-thirds full with vegetable oil. Heat to 180C. (To check the oil is at the right temperature, drop a cube of bread into the hot oil. It should become golden-brown in 1 minute.) (CAUTION: Hot oil can be dangerous. Don't leave unattended.)
Mix the salt and flour on a plate. Dredge the onion slices in flour and deep-fry for 2 minutes. Remove and place on a plate with kitchen roll and season with salt.
To serve,place the sourdough on a serving plate and spread with the mustard. Slice the venison and place on top. Quenelle the crème fraîche on the side, pile cucumbers next to the venison and finish with crispy onions and fennel seeds. Finish the dish with the lemon zest, capers, dill and horseradish.


[gecode-users] Counting clones
Christian Schulte
cschulte at kth.se
Fri Jun 1 20:41:54 CEST 2012
Hi Marco,
Well, the number of clones _is_ the same for any value of c-d or a-d! You
have to backtrack, so you have to make a clone! The difference is that you
clone different spaces.
Christian
--
Christian Schulte, www.ict.kth.se/~cschulte/
> -----Original Message-----
> From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On
> Behalf Of Marco Correia
> Sent: Friday, June 01, 2012 6:54 PM
> To: 'gecode list'
> Subject: [gecode-users] Counting clones
>
> Hi,
>
> I suspect the answer to the following question should be somewhere in the
MPG
> document, but I was unable to find it - apologies if this is the case.
>
> I am interested on obtaining the number of clones for a specific example
when
> subject to different value for the c_d parameter in the context of a DFS
search. I
> believe gecode used to report this value in the statistics, but now it
seems there
> is a specific class CloneStatistics which should be updated as search
proceeds. I
> fail to see how to pass an object of type CloneStatistics to the DFS
search
> object. Also the
> Space::clone() member function (which seems to be the only place where
this
> object can be updated) is not virtual, and therefore cannot be intercepted
in my
> subclass of Space (is this correct?). So I tried another approach, which
was
> simply to count the number of times that my
> copy() function gets called, which I thought should tell me the number of
clones.
> Now I think I'm wrong since this number always reports the same number of
> clones for different values of c_d.
>
> Obviously I'm making some mistake. Any hints?
>
> Thanks!
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
More information about the users
mailing list


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getContentDescription(self)
Gets the content description. |
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getVisibility(self)
Gets the View visibility |
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getXY(self,
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Returns the screen coordinates of this View . |
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touch(self,
type=2)
Touches the center of this View |
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map
The map that contains the attr ,value pairs
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device
The MonkeyDevice
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children
The children of this View
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parent
The parent of this View
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currentFocus
The current focus
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build
Build properties
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version
API version number
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forceviewserveruse
Force ViewServer use
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useUiAutomator
Whether to use UIAutomator or ViewServer
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idProperty
The id property depending on the View attribute format
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textProperty
The text property depending on the View attribute format
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leftProperty
The left property depending on the View attribute format
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topProperty
The top property depending on the View attribute format
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widthProperty
The width property depending on the View attribute format
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heightProperty
The height property depending on the View attribute format
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Stonks: Algorithmic Trading Bots
Work in Progress
Algorithmic trading is the process of having an automated software executing orders based on historical and present data. This project, currently developed in Python, is a system to design, backtest, and optimize trading bots. Integrated with Alpaca broker specifically designed for algorithmic trading. The simulation fetches historical data from Polygon.io for backtesting every minute over years. I have also included a walk-forward routine that optimize the algorithm at the start of each trading week for the previous couple of weeks in order to adjust for variations in the market. This is not designed for high frequency trading as there is no chance me in my bedroom business headquarters can compete with the massive infrastructure with special high speed connections to the market exchanges.
In addition to the testing framework, I have programmed several bots. It is difficult to compare portfolios as the success may be the result of luck so often the Sharpe ratio is compared. It is a measure of risk to reward; a larger value represents either a higher reward and/or more consistent reward. My real-world results with complete bot control from 2020-06-01 to 2020-07-17 was about 20% P/L and a Sharpe ratio of 6.24 (Anything over 3 is excellent). The plot is the result of one bot's simulation over the wild market of 2020 so far. That bot had 290% P/L and a Sharpe ratio of 6.84. The same bot when simulated over 2017-2019 had more reasonable results of 130% (33%/yr) P/L and Sharpe ratio of 1.15. These bots are value trading strategies that place one buy and one sell order a day. I am working on developing bots that use day trading strategies that buy and sell multiple securities multiple times a day. This requires further development of the testing framework to proper simulate order execution price as these strategies rely on making small profits with large volume which a few cents change on price can mean success or failure.
The current to do list on this project is use historical quotes to execute orders at the NBBO (National Best Bid and Offer) price, consider changing to C++ to allow lower level access to improve data fetching speed, and develop day trading strategies.
tags: automation, finance, Python, software


Hey Friends! I'm turning 40 and excited to celebrate with you. We'll be solving a puzzle hunt from Mystery League at a local Chicago bar. I'm covering the hunt, and ordering some pizza for everyone. Beers (if you want one) are on you :-)
Click on the puzzle button (in the navbar) to view the Location Puzzle and find out where we're celebrating. Submit your solution below when you're ready!


Merrickville-Wolford and District Chamber of Commerce
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Help


position: relative.
position: relative does 3 things:
enables top/left/bottom/right
enables z-index
descendant with position: absolute; is positioned relative to nearest position: relative; ancestor
Absolutely positioned relative to ancestor


Illegal use of ngTransclude directive in the template! No parent directive that requires a transclusion found. Element: {0}
Occurs when an ngTransclude
occurs without a transcluded ancestor element.
This error often occurs when you have forgotten to set transclude: true
in some directive definition, and then used ngTransclude
in the directive's template.
To resolve, either remove the offending ngTransclude
or check that transclude: true
is included in the intended directive definition.
Consult the API documentation for writing directives to learn more.


Filenames relative to this HTML file (comma-separated):
Get posts!
Alternatively, see
demo.html
to query from five other pre-collected data sets.
Raw Markdown Output
Formatted Markdown


Poutine   $4.99
A Canadian dish originating from the province of Quebec, initially made with French fries and cheese curds topped with a brown gravy.
Butter Tarts   $2.99
A type of small pastry tart highly regarded in Canadian cuisine and considered one of Canada's quintessential treats. The sweet tart consists of a filling of butter, sugar, syrup, and egg, baked in a pastry shell until the filling is semi-solid with a crunchy top.
Canada Dry   $0.99
A soft drink
Cabuno   $5.99
A pressed sandwich of pork, pickles, and mustard
Pholourie   $2.99
It is popular in Trinidad and Tobago and Guyana, pholourie are savory fritters made with split-pea flour and served with a sweet or tangy chutney.
Planter's Punch   $1.99
It's not just a drink, it's a way of life, says Rick's Cafe about their refreshing rum and fruit juice concoction.
Peking Duck   $9.99
It's a dish from Beijing that has been prepared since the imperial era. The meat is characterized by its thin, crisp skin, with authentic versions of the dish serving mostly the skin and little meat, sliced in front of the diners by the cook.
Spring Rolls   $2.99
It's a Cantonese dim sum of cylindrical shape. The filling of spring rolls could be vegetables or meat, and the taste could be either sweet or savory.
Long Jing   $1.99
A green tea
Buffalo Chicken Pizza   $5.99
It made with our Buffalo blue cheese sauce, grilled chicken, red onions, fire roasted red peppers, mozzarella cheese.
Palacinky   $1.99
It's probably most famous for its great variety of pilsner beers, but the country also serves up some tasty Czech foods to soak up all that alcohol.
Pilsner   $2.99
A Germany beer
Oats idli   $9.99
A delicious and healthy idlis that hide the goodness of oats, lentils and veggies
Kulfi   $1.99
A popular frozen dessert that is sinfully rich, dense and creamy. A twist to the traditional recipe, this one is flavored with mango.
Sugarcane Juice   $1.99
It's the syrup extracted from pressed sugarcane


BALANCE
-
100.11111
FARMING BALANCE
-
100.11111
FARMED
-<PHONE_NUMBER> BREE
CLAIMED
- 402.111 BREE
GLOBAL STATISTICS
LATEST FARMING RATES
-
60% APY
TOTAL COLLECTED YIELD
- 892,248.2135723 BREE
TOTAL COLLECTABLE REWARDS
- 193,293,293 BREE


{% extends "layout.html" %} {% block page_title %} GOV.UK prototype kit {% endblock %} {% block content %} BETA This is a new service – your feedback will help us to improve it. Log Out Your account {{releaseVersion | log }} Open claims Previous claims Your details Payee details You have no open claims. Start new claim {% endblock %}
BETA This is a new service – your feedback will help us to improve it.
You have no open claims.
Start new claim


My pet
German Shepherd Dog.
It has a short
tail
They have fourty two
teeth
life span
number of puppies
height of the dogs


publications
publications by categories in reversed chronological order
2020
- STASTPrivacy, Security and Trust in the Internet of NeuronsIn Proceedings of the 10th Workshop on Socio-Technical Aspects in Security and Trust 2020
- EuroS&PX-Men: A Mutation-Based Approach for the Formal Analysis of Security CeremoniesIn Proceedings of the 5th IEEE European Symposium on Security and Privacy (EuroS&P) 2020
2019
- SECRYPTWhat Are the Threats?(Charting the Threat Models of Security Ceremonies)In Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, ICETE - Volume 2: SECRYPT 2019
- SECRYPTAn Investigation into the “Beautification” of Security CeremoniesIn Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, ICETE - Volume 2: SECRYPT 2019
- CPDPSmart Humans... WannaDie?In Proceedings of the 3rd Re-Coding Black Mirror workshop, Companion of the Data Protection and Artificial Intelligence (CPDP) 2019
- CPDPSchrödinger’s ManIn Proceedings of the 3rd Re-Coding Black Mirror workshop, Companion of the Data Protection and Artificial Intelligence (CPDP) 2019
2018
- WWWGnirut: The Trouble With Being Born Human In An Autonomous WorldIn Proceedings of the 2nd Re-Coding Black Mirror workshop, Companion of The Web Conference (WWW) 2018
- WWWMay I Mine Your Mind?In Proceedings of the 2nd Re-Coding Black Mirror workshop, Companion of The Web Conference (WWW) 2018


In JavaScript, an array is a set of information (including but not limited to strings, numbers, and variables), contained within square brackets, [ ], and separated by commas. Arrays can be called upon and manipulated with various JS methods and functions such as concat() or pop().
In the example below, we'll define two arrays, and use the concat() method to combine them.
var days=["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
var timeOfDay=["Morning", "Afternoon", "Evening", "Night"]
days.concat(timeOfDay)
These entries will return:
["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday", "Morning", "Afternoon", "Evening", "Night"]


Social Keep is a tool that archives the activity — both wall posts and direct messages — of your Facebook pages. At the end of the month, you will recieve a summary report.
Sign in with Facebook


My Title
Profile
Discography
Promotions Compilations
Music Video
Twice 'What is Love?' Behind the Scenes
Jacket Behind A
Jacket Behind A
Twice TV "What is Love?"
Episode 1 [V LIVE] - Nayeon
Episode 2 [V LIVE] - Jeongyeon


Stripe is a service which handles almost all of the details of collecting credit card payments from your customers. The basic flow is simple:
Talk about the signup process, costs, and what the competition offers.
Simple example of using their form
Slightly better example, using your own form - CALL OUT the pitfalls of JS script ordering!
Show the API, and point out the different language-specific libraries that already exist
Setting up subscription plans - via the dashboard, and programmatically
Setting up coupons - via the dashboard, and programmatically
Show the distinction between prod and test, and
Show reports that are available via the dashboard, as well as programmatic access to data
Explain what a chargeback is, and what the process is to get it resolved.


uniq
Output the unique lines from the given input or file.
Since it does not detect repeated lines unless they are adjacent, we need to sort them first.
More information: home page
- Display each line once:
sort path/to/file | uniq
- Display only unique lines:
sort path/to/file | uniq -u
- Display only duplicate lines:
sort path/to/file | uniq -d
- Display number of occurrences of each line along with that line:
sort path/to/file | uniq -c
- Display number of occurrences of each line, sorted by the most frequent:
sort path/to/file | uniq -c | sort -nr


io.apptik.comm.jus.retro.http
Annotation Types
Body
DELETE
Field
FieldMap
FormUrlEncoded
GET
HEAD
Header
Headers
HTTP
Multipart
OPTIONS
Part
PartMap
PATCH
Path
POST
Priority
PUT
Query
QueryMap
ShouldCache
Streaming
Tag
TRACE
Url


Name: total
Input: None.
Output: Set of elements and groups.
Definition: Short description of the function, style of the old system manual
Argumentlist: When used in all contexts except the part= parameter of the write command, this function accepts no arguments.
When used with the write command, the function may be specified without argument; it also accepts a structured list of arguments, however. If the first argument is no structuring argument, the presence of "=name" is assumed.
Structlist:
Name: names
sublist
Name: packaged
sublist
Name: parcels
sublist
Name: ordered No sublist
Name: unordered No sublist
Name: default
sublist
Name: nocomment No sublist
Name: nooriginal No sublist
Name: comment No sublist
Name: original No sublist
Name: exclude
sublist
Name: aspects No sublist
Name: noaspects No sublist
Name: suppress
sublist
Name: noheader No sublist
Name: groups
sublist
Name: invisible No sublist
Discussion: Detailed explanation and examples


Login Here
Username
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Password
Please fill up your Password
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{% extends "base.html" %} {% block head %}
| Index | Balance | Hash | Type | Amount | Account | Sister block | |
|---|---|---|---|---|---|---|---|
| Not pocketed | {{ sister.amount() | format_amount2 }} | FROM | {{ sister.account() | account_link(show_address=False) }} | {{ sister.hash() | format_hash }} | |||
| There's possibly more unpocketed blocks | {% endif %}


Marblehead Charter Professional Development
Professional Development Overview
We want our professional development to be open, active, and effective. We want our professional learning to be open to all, encourage active participation, and effectively impact the lives our students. While many program that align to the mission and values of our school. Our professional development must be an integral part of creating the school we want to have. The goal of our program is to help answer the question, "How do students learn best?" In answering this question, we align our professional practice and pedagogy with these beliefs.


- decamelizeMatcher(String) - Static method in class org.mockito.internal.util.Decamelizer
-
- Decamelizer - Class in org.mockito.internal.util
-
- Decamelizer() - Constructor for class org.mockito.internal.util.Decamelizer
-
- declaredFieldsOf(Object) - Static method in class org.mockito.internal.util.reflection.Fields
-
Instance fields declared in the class of the given instance.
- DefaultAnnotationEngine - Class in org.mockito.internal.configuration
-
Initializes fields annotated with @
Mock
or @
Captor
.
- DefaultAnnotationEngine() - Constructor for class org.mockito.internal.configuration.DefaultAnnotationEngine
-
- defaultAnswer(Answer) - Method in class org.mockito.internal.creation.MockSettingsImpl
-
- defaultAnswer - Variable in class org.mockito.internal.creation.settings.CreationSettings
-
- defaultAnswer(Answer) - Method in interface org.mockito.MockSettings
-
Specifies default answers to interactions.
- defaultAnswerDoesNotAcceptNullParameter() - Method in class org.mockito.exceptions.Reporter
-
- DefaultInjectionEngine - Class in org.mockito.internal.configuration
-
Inject mock/spies dependencies for fields annotated with @InjectMocks
See
MockitoAnnotations
- DefaultInjectionEngine() - Constructor for class org.mockito.internal.configuration.DefaultInjectionEngine
-
- DefaultMockingDetails - Class in org.mockito.internal.util
-
Class to inspect any object, and identify whether a particular object is either a mock or a spy.
- DefaultMockingDetails(Object, MockUtil) - Constructor for class org.mockito.internal.util.DefaultMockingDetails
-
- DefaultMockitoConfiguration - Class in org.mockito.configuration
-
DefaultConfiguration of Mockito framework
- DefaultMockitoConfiguration() - Constructor for class org.mockito.configuration.DefaultMockitoConfiguration
-
- DefaultRealMethod - Class in org.mockito.internal.invocation.realmethod
-
- DefaultRealMethod(MockitoMethodProxy) - Constructor for class org.mockito.internal.invocation.realmethod.DefaultRealMethod
-
- DefaultRegisteredInvocations - Class in org.mockito.internal.verification
-
- DefaultRegisteredInvocations() - Constructor for class org.mockito.internal.verification.DefaultRegisteredInvocations
-
- DefaultStackTraceCleaner - Class in org.mockito.internal.exceptions.stacktrace
-
by Szczepan Faber, created at: 7/29/12
- DefaultStackTraceCleaner() - Constructor for class org.mockito.internal.exceptions.stacktrace.DefaultStackTraceCleaner
-
- DefaultStackTraceCleanerProvider - Class in org.mockito.internal.exceptions.stacktrace
-
by Szczepan Faber, created at: 7/29/12
- DefaultStackTraceCleanerProvider() - Constructor for class org.mockito.internal.exceptions.stacktrace.DefaultStackTraceCleanerProvider
-
- defaultValueForPrimitiveOrWrapper(Class<T>) - Static method in class org.mockito.internal.util.Primitives
-
Returns the boxed default value for a primitive or a primitive wrapper.
- delegatedMethodDoesNotExistOnDelegate(Method, Object, Object) - Method in class org.mockito.exceptions.Reporter
-
- delegatedMethodHasWrongReturnType(Method, Method, Object, Object) - Method in class org.mockito.exceptions.Reporter
-
- delegatesTo(Object) - Static method in class org.mockito.AdditionalAnswers
-
An answer that directly forwards the calls to the delegate.
- DelegatingMethod - Class in org.mockito.internal.creation
-
- DelegatingMethod(Method) - Constructor for class org.mockito.internal.creation.DelegatingMethod
-
- DeprecatedOngoingStubbing<T> - Interface in org.mockito.stubbing
-
Stubs a method call with return value or an exception.
- describe(Object) - Method in class org.mockito.internal.matchers.Equals
-
- DescribedInvocation - Interface in org.mockito.invocation
-
Provides information about the invocation, specifically a human readable description and the location.
- describeTo(Description) - Method in class org.mockito.ArgumentMatcher
-
By default this method decamelizes matchers name to promote meaningful names for matchers.
- describeTo(Description) - Method in class org.mockito.internal.matchers.And
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.Any
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.apachecommons.ReflectionEquals
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.ArrayEquals
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.CapturingMatcher
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.CompareTo
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.Contains
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.EndsWith
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.Equals
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.EqualsWithDelta
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.Find
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.InstanceOf
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.LocalizedMatcher
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.Matches
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.Not
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.NotNull
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.Null
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.Or
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.Same
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.StartsWith
-
- describeTo(Description) - Method in class org.mockito.internal.matchers.VarargCapturingMatcher
-
- Discrepancy - Class in org.mockito.exceptions
-
Deprecated.
- Discrepancy(int, int) - Constructor for class org.mockito.exceptions.Discrepancy
-
Deprecated.
- Discrepancy - Class in org.mockito.internal.reporting
-
- Discrepancy(int, int) - Constructor for class org.mockito.internal.reporting.Discrepancy
-
- doAnswer(Answer) - Method in class org.mockito.internal.MockitoCore
-
- doAnswer(Answer) - Method in class org.mockito.internal.stubbing.StubberImpl
-
- doAnswer(Answer) - Static method in class org.mockito.Mockito
-
Use
doAnswer()
when you want to stub a void method with generic
Answer
.
- doAnswer(Answer) - Method in interface org.mockito.stubbing.Stubber
-
- doCallRealMethod() - Method in class org.mockito.internal.stubbing.StubberImpl
-
- doCallRealMethod() - Static method in class org.mockito.Mockito
-
Use doCallRealMethod()
when you want to call the real implementation of a method.
- doCallRealMethod() - Method in interface org.mockito.stubbing.Stubber
-
- DoesNothing - Class in org.mockito.internal.stubbing.answers
-
- DoesNothing() - Constructor for class org.mockito.internal.stubbing.answers.DoesNothing
-
- doIdentityEquals(Object, Object) - Static method in class org.mockito.internal.creation.bytebuddy.MockMethodInterceptor.ForEquals
-
- doIdentityHashCode(Object) - Static method in class org.mockito.internal.creation.bytebuddy.MockMethodInterceptor.ForHashCode
-
- doNothing() - Method in class org.mockito.internal.stubbing.StubberImpl
-
- doNothing() - Static method in class org.mockito.Mockito
-
Use doNothing()
for setting void methods to do nothing.
- doNothing() - Method in interface org.mockito.stubbing.Stubber
-
- doReturn(Object) - Method in class org.mockito.internal.stubbing.StubberImpl
-
- doReturn(Object) - Static method in class org.mockito.Mockito
-
- doReturn(Object) - Method in interface org.mockito.stubbing.Stubber
-
- doThrow(Throwable) - Method in class org.mockito.internal.stubbing.StubberImpl
-
- doThrow(Class<? extends Throwable>) - Method in class org.mockito.internal.stubbing.StubberImpl
-
- doThrow(Throwable) - Static method in class org.mockito.Mockito
-
Use doThrow()
when you want to stub the void method with an exception.
- doThrow(Class<? extends Throwable>) - Static method in class org.mockito.Mockito
-
Use doThrow()
when you want to stub the void method to throw exception of specified class.
- doThrow(Throwable) - Method in interface org.mockito.stubbing.Stubber
-
- doThrow(Class<? extends Throwable>) - Method in interface org.mockito.stubbing.Stubber
-
- doubleThat(Matcher<Double>) - Static method in class org.mockito.Matchers
-
Allows creating custom Double
argument matchers.
- doWriteReplace(MockMethodInterceptor.MockAccess) - Static method in class org.mockito.internal.creation.bytebuddy.MockMethodInterceptor.ForWriteReplace
-
- duration() - Method in class org.mockito.internal.util.Timer
-


Matt is an aspiring nerd. Well-versed in graphic design and typography, he often finds himself working with the Adobe Suite.


Bindrr is a CRM app for property management companies and rental agents to organize contact information for leads while filling vacant rental properties.
SuggestSoCal is a tourism and hospitality website that suggests events, deals, and dining options in Southern California. Visit the site or the project GitHub.
This web app is a workday scheduler. It saves daily tasks and displays the current day and hour. Visit the GitHub.
WeatherDash is a web app to search and display weather information by city. The app displays a five-day forecast so that you can plan a trip accordingly. Have a look at the GitHub page.


We'll write rarely, but with only the best content.
Kragujevac, 34000
Serbia
+ 34 234 567
Mon - Fri, 8:00-22:00
example@gmail.com


|
Scintillator
v0.0.1 at 1b5c195
Documentation specific to the C++-based scinsynth
|
Classes | |
| union | Value |
Public Member Functions | |
| VGenInput (float c) | |
| VGenInput (glm::vec2 c) | |
| VGenInput (glm::vec3 c) | |
| VGenInput (glm::vec4 c) | |
| VGenInput (int index, int out, int dim) | |
| VGenInput (int paramIndex) | |
Public Attributes | |
| InputType | type |
| int | dimension |
| Value | value |


I have experience in design solutions and software development for the cloud, using development best pratices and agile frameworks to optimize from the conception process to product delivery, focusing on escalebility, code quality and teamwork.
Hashtags: #awscloud, #innnovation, #agileculture, #javaarchitect, #javadevelopment
Apart from being a developer, I enjoy to spend most of my time with my family (my dogs and wife) and, sometimes, walking alone listening a good music.
Also I appreciate a lot of sci-fi, investigation and fantasy genre movies and television shows, and I spend the rest of my free time between exploring and reading about the latest technology advancements and news in the development world and play video games.


"Crazy is Perfect"
Synopsis
Next to Normal is a rock musical opening on Broadway in 2009. The story follows a less-than-perfect family and their struggles with depression, anxiety, and each other. Though the show's plot is not necessarily a happy one, the music is uplifting and fun. It's book and lyrics are by Brian Yorkey and the music is by Tom Kitt. Original cast includes: Alice Ripley, Jennifer Damiano, J. Robert Spencer, Adam Chanler-Beret, Aaron Tveit, and Louis Hobson.
Songs include: "Perfect For You", Superboy and the Invisible Girl", "Hey", and "Light"
SJU
The SJU Theatre Company performed Next to Normal in the fall of 2013. The music in this show is one of my all-time favorites, so this show was a blast to work on. A smaller cast/crew than usual, we really bonded with each other and loved every minute we spent together.
Fun Fact
During a dinner scene, mashed potatoes are scooped out onto plates, and one night she missed the plate and they completely flew onto the floor. (guess who had to clean them up during intermission)


--- layout: post status: publish published: true title: Cubs Kick Off Spring Training 2014 author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 8916 wordpress_url: http://ivyenvy.com/?p=8916 date: '2014-02-28 08:10:12 +0000' date_gmt: '2014-02-28 14:10:12 +0000' categories: - Spring Training tags: - Jeff Samardzija - Starlin Castro - Theo Epstein - Anthony Rizzo - Mike Olt - Pedro Strop - Wesley Wright comments: [] ---
The Cubs introduced their new Spring Training facility to the world with a loss to the Arizona Diamondbacks on Thursday. The ballpark looks beautiful and as I sit in Illinois, apparently in the bullseye of Winter Storm Titan (it just sounds intimidating), I wish Spring Training would have been on my agenda this year.
It was nice that the first game of Spring Training was televised. I'm always glad when we go from the "(Insert player name here) is in the best shape of their life." story-lines to game reports. Spring Training games, especially early games are great opportunities to see a lot of the players that we've really only heard about or read minor league reports about. Even if you follow the minor leagues pretty closely, at some point you will still say, "Wait, who is that?"
The Cubs lost and were not able to generate much offense, which is something we have become accustomed to. But if you are going to live and die with every win and loss, don't do it in Spring Training...and don't do it with the 2014 Cubs. With Spring Training, we look at individuals, so let's do that now.
Jeff Samardzija got off to a rough start with a four-pitch walk, but settled things down and in his two innings pitched, Samardzija gave up 2 hits, walked 1 and struck out 2. After that first walk, Samardzija looked pretty sharp. We are going to see a driven and focused Samardzija in 2014 and his trade/extension situation will be a main story-line in 2014. Numerous Cubs beat writers commented on the "many" scouts from other teams there at Cubs Park to watch Samardzija.
We talked about the good pitching, so let's talk about the bad pitching Wesley Wright earned the loss when he came into the game in the 5th inning and gave up 3 runs on 2 hits, including a HBP and a home run. Pedro Strop, will start the season as the set-up man and is the eventual closer. Strop had a real hard time finding the strike zone. He gave up a hit and walked 2 in his inning pitched.
On this week's episode of the podcast, Brett from Bleacher Nation told us that Mike Olt's performance at the plate is the story-line he is most interested in this spring. Olt had two at-bats. The first was almost over by the time the CF camera had focused on home-plate. A one-pitch pop-out. In his second at-bat, Olt worked the count and ended up striking out looking (har har).
Also in this week's podcast episode, Kurt talked about Castro's and Rizzo's ability to bounce back from their 2013 seasons. Yes, small sample size (my favorite term to toss around February - April), but Starlin Castro looked very comfortable at the plate. Castro went 2-2 with a single and a double. Although there was no good camera angle, it looks like Castro could have stretched that double into a triple but he apparently took a spill rounding 2nd base.
While we're talking about the positives, it's worth mentioning that during his time with Len and JD yesterday, Theo Epstein commented on the morale in the minor league system and said that it's probably the highest morale he's seen in his 23 years in baseball.
Today, the Cubs will play the Angels and the new Pat Hughes/Coom Dog broadcast team will bring it to us on WGN 720AM. The game will also be aired on the MLB Network at 12 midnight Central time tonight. So set your DVR's and watch some more Cubs baseball in the morning.
Here's the line-up for today's game vs. the Angels:
Coghlan DH
Barney 2B
Sweeney CF
Schierholtz RF
Murphy 3B
Wells LF
Baez SS
Kottaras C
Valaika 1B


{% extends "base.html" %} {% block page_content %}
1. DOSsing is forbidden.
2. No cross-teaming is allowed.
3. You can confirm leads by contacting the admins:
    -> admin_1
    -> admin_2
    -> admin_3
4. All the answers will be in lowercase and alphanumeric eg:"weekend123"
5. All the hints will be posted on our discord server.
6. All the answer would have zero space


Upload papers
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© IIITKalyaniFOSC.


Contribute To Ionic
If you see an area for improvement or have an idea for a new feature, we'd love to have your help! Please feel free to take part in any discussions that may be happening on our forum or our issues page. You can also stay up-to-date with Ionic by subscribing to our newsletter.
- Join the discussion on Ionic's Forum. Either start or take part in topics to help define what you're thinking.
- Browse existing issues for ideas or to see if a similar issue has already been submitted.
- Fork the Github repo:
git clone https://github.com/driftyco/ionic.git
- Create a new branch from master:
git checkout -b issuenumber-new-awesomeness
- Review our pull request guidelines.
- Follow our coding conventions.
- Did you remember to write a passing test?
- Submit a pull request!
For issues relating to the Ionic documentation or this site, please use the ionic-site repo instead.
Submit An Issue For Ionic
If you see a way to improve any piece of code, please let us know. There's no such thing as too small an improvement. (If the issue is about our documentation, please see next section.) If you think you might have found a bug, please start by making sure it hasn't already been reported.
[M#IIf the issue doesn't already exist, please fork a codepen that demonstrates the problem (try to use as little code as possible: the more minimalist, the faster we can debug it). Next, create a new issue that explains the problem in detail, and provides enought background as to the circumstances that triggers it. Don't forget to include the link to the codpen or plunkr you created, along with any screenshots that may identify the issue.
Help Improve The Docs
See a typo? Have a better way to describe Ionic within our documentation? Have a great tutorial? Please help make our docs awesome. The docs for our directives and services are generated from our source code using dgeni, so fork the main Ionic repo to make an edit there. For anything site related, fork the ionic-site repo, add, correct or improve the content, then submit a pull request with the improved docs. Not sure what to do? Submit an issue, and we will address it.
Pull Request Guidelines
When in doubt, keep your pull requests small. To give a PR the best chance of getting accepted, do not bundle more than one "feature" or bug fix per PR. A large "all-in-one" PR makes it very hard to accept if one of the fixes or features has issues. It's always best to create two or more smaller PRs than one big one. Make sure any changes are done to the source code, not the compiled JavaScript or CSS.
Conventions
We try to follow best practices as much as possible.
For any SCSS changes, try to keep CSS properties sorted in a reasonable order, with layout and sizing properties first, and cosmetic properties below that. See our code for examples. Feel free to run your code through CSS Comb, which will sort your CSS properties in a good order. Always use two spaces, no tabs. This goes for any HTML, CSS, or Javascript. Ionic uses an .editorconfig
file, which most editors support, to enforce these coding standards.
All JavaScript must pass JSHint, which helps detect errors and potential problems in your code.
Additionally, almost all Javascript code must have an accompanying test case. To run our test suite, install Karma and follow the Development commands as follows:
$ sudo npm install -g karma gulp $ gulp $ gulp karma
More information can be found in the README.
Any tests you write should go in the test/TYPE
folder structure. Copy the format from other tests to write your own.
License
By contributing your code, you agree to license your contribution under the MIT license.


Interactions
Draggable
Droppable
Resizable
Selectable
Sortable
Accordion
Autocomplete
Datepicker
Dialog
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Welcome to Michael Scott's Webpage
What You'll Find Here
This is my space. Here are some of my interests:
- Saying "That's what she said"
- Writing song parodies
- Playing ice hockey
- Wearing jeans
- Chrysler cars
A Few of My Famous Quotes
"That's what she said." - Me
"Would I rather be feared or loved? Easy, both. I want people to be afraid of how much they love me." - Me
"Wikipedia is the best thing ever. Anyone in the world can write anything they want about any subject, so you know you are getting the best possible information." - Me
"I am Michael, and I am part English, Irish, German, and Scottish, sort of a virtual United Nations." - Me


YouTube unveils homepage redesign for desktop web and tablets, rolls out video queue
by Abner LiYouTube this morning announced a homepage redesign focused on helping you “find the next great video to watch.” Available for desktop web and tablets, it takes the form of larger thumbnails to aid browsing. The Google site is also rolling out queuing and “Don’t recommend this channel.”
Homepage redesign
The video site is switching to “larger, richer thumbnails” that make possible higher-resolution previews. This also allows for longer video titles that provide more context before clicking. Channel icons are now included to make it “easier to recognize your favorite creators.” In practice, instead of seeing five videos across, you might only see four, with eight per shelf.
The general layout, including sections like Recommended, remains mostly unchanged. That said, YouTube is removing some content shelves as part of this cleaner design. According to YouTube, this adjustment has been in testing for the past “few months” and was briefly spotted in testing this August.
We’ve been experimenting with this updated design for a few months and — based on your input — have made dozens of improvements to the layout, most notably adjusting the thumbnail sizes and showing more videos on larger screens.
Add to queue
After a successful experiment, YouTube is rolling out “add to queue,” with a new button in the overflow menu. When on the Home feed, search results, or channel page, adding a video to queue will open a Miniplayer at the bottom-right corner. The actual queue list is hidden, and can be expanded. You can rearrange the playback order and delete items.
Don’t recommend channel
The last change today sees the “Don’t recommend channel” feature roll out to desktop. First introduced on mobile earlier this year, you can tell YouTube to “stop suggesting videos from a particular channel” in your feeds. Coming soon is the ability to select topics to refine your Homepage and Up Next videos.
The YouTube homepage redesign begins rolling out today on the desktop web, as well as the Android and iOS tablet apps.
FTC: We use income earning auto affiliate links. More.


Isoof who's facing 5 counts of murder and 1 count of attempted murder further remanded by Lautoka High Court
by Naveel KrishantMuhammad Raheesh Isoof who is facing five counts of murder and one count of attempted murder has been further remanded in custody by the Lautoka High Court.
This is in relation to the alleged murder of the three adults and two children in the Nausori Highlands in August this year.
The bodies of the family members were found in the Nausori Highlands on the 26th of August.
Full In-depth Story
The bodies were of a 63-year-old carpenter, Nirmal Kumar, his 54-year-old wife, Usha Devi, their 34-year-old daughter, Nileshni Kajal and Kajal's two daughters aged 11 and 8 years.
A 1-year-old child was found crawling nearby.
She is the late Nileshni's niece.
Her mother lives in Australia.
Isoof is a holder of permanent residency in New Zealand.


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Rating : ⭐⭐⭐⭐⭐
Shelf Location: C135-23
Rating : ⭐⭐⭐⭐
Shelf Location: B15-32
Shelf Location: B17-19
Shelf Location: C130-21
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Shelf Location: B23-28
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Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 6
Dietary
Hearty, sustaining pasties stuffed full of sweet squash, creamy ricotta and pecans - the taste of autumn.
Preheat the oven to 200C/390F/Gas 6 and line a baking tray with baking parchment.
Mix the butternut squash, onion, olive oil and the sage together, season with salt and freshly ground black pepper and place inside the lined baking tray.
Roast until the squash is cooked (when a knife goes through it easily), then take from the oven and leave to cool.
Divide the pastry in half and roll each half out to a 60x20cm/24x8in rectangle on a lightly dusted work surface. Using a 20cm/8in diameter plate as a template, cut out three rounds from each piece. Lay these on a baking sheet and put in the fridge to rest for at least 20 minutes.
Once the butternut squash has cooled, tip it into a large bowl and mix in the pecans, ricotta and pumpkin seed oil, making sure you don't crush the squash.
Take the pastry rounds from the fridge and allow them to come up to room temperature.
Beat the egg with a pinch of salt and brush the pastry completely on one side with the egg-wash - it'll be easier to do this one piece at a time.
Take one-sixth of the butternut squash mixture and dollop it in the centre of a pastry round, then carefully fold the pastry in half, making sure the filling is enclosed.
Dip a fork in the flour and use it to press down and seal the edges. Try to squeeze out excess air as you do this - otherwise it can make the pastie pop open in the heat of the oven. As you finish each pastie, place it on a baking sheet lined with baking parchment. Brush the remaining egg-wash over the pasties and prick each one several times with the fork.
Bake for 25-35 minutes, until the pastry is golden and cooked through.
Serve straight out of the oven or leave them to cool and take on a picnic.


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