@(scripts: Html)(navigation: Html)(footer: Html)
An image histogram is a type of histogram that acts as a graphical representation of the tonal distribution in a digital image. It plots the number of pixels for each tonal value. By looking at the histogram for a specific image a viewer will be able to judge the entire tonal distribution at a glance.
void histogram(Image im) {
int[] H = new int[256]; // histogram array
int width = im.getWidth();
int height = im.getHeight();
//iterate through Image and add single pixels to array
for (int v = 0; v < height; v++) {
for (int u = 0; u < width; u++) {
int i = im.getPixel(u,v);
H[i] = H[i] + 1;
}
}
... //histogram H[] can now be used
}
One of the most common algorithms is the "moving average", often used to try to capture important trends in repeated statistical surveys. In image processing and computer vision, smoothing ideas are used in scale space representations. The simplest smoothing algorithm is the "rectangular" or "unweighted sliding-average smooth". This method replaces each point in the signal with the average of "m" adjacent points, where "m" is a positive integer called the "smooth width". Usually m is an odd number. The triangular smooth is like the rectangular smooth except that it implements a weighted smoothing function.
Smoothing filter example
void smoothingFilter(Image im) {
int w = im.getWidth();
int h = im.getHeight();
// 3 × 3 filter matrix
double[][] filter = {
{0.075, 0.125, 0.075},
{0.125, 0.200, 0.125},
{0.075, 0.125, 0.075}
};
//make the copy of original image
Image copy = im.duplicate();
for (int v=1; v<=h-2; v++) {
for (int u=1; u<=w-2; u++) {
// compute filter result for position (u, v)
double sum = 0;
for (int j=-1; j<=1; j++) {
for (int i=-1; i<=1; i++) {
int p = copy.getPixel(u+i,v+j);
// get the corresponding filter coefficient:
double c = filter[j+1][i+1];
sum = sum + c * p;
}
}
int q = (int) Math.round(sum);
im.putPixel(u,v,q);
}
}
}
... //Image im can now be used
A filter which looks minimum up from the filter region from the neighbouring pixels. Extended the darken structures and reduce bright structures.
void minimumFilter (Image im){
int w = im.getWidth();
int h = im.getHeight();
Image copy = copyImage(im);
// Filteroperation
int[] P = new int[9];
for (int v=1; v<=h; v++) {
for (int u=1; u<=w; u++) {
//fill the pixel vector P for filter position (u,v)
int k = 0;
for (int j=-1; j<=1; j++) {
for (int i=-1; i<=1; i++) {
P[k] = copy.getPixel(u+i, v+j);
k++;
}
}
//sort the pixel vector and take the first element
Arrays.sort(P);
im.setSample(u-1,v-1, 0, P[0]);
}
}
... //Image im can now be used
}
A filter which looks maximum up from the filter region from the neighbouring pixels. Extended the bright structures and reduce dark structures.
void maximumFilter (Image im){
int w = im.getWidth();
int h = im.getHeight();
Image copy = copyImage(im);
// Filteroperation
int[] P = new int[9];
for (int v=1; v<=h; v++) {
for (int u=1; u<=w; u++) {
//fill the pixel vector P for filter position (u,v)
int k = 0;
for (int j=-1; j<=1; j++) {
for (int i=-1; i<=1; i++) {
P[k] = copy.getPixel(u+i, v+j);
k++;
}
}
//sort the pixel vector and take the last element
Arrays.sort(P);
im.setSample(u-1,v-1, 0, P[8]);
}
}
... //Image im can now be used
}
In image processing, it is often desirable to be able to perform some kind of noise reduction on an image or signal. The median filter is a nonlinear digital filtering technique, often used to remove noise. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image). Replaces each pixel by the median of the pixel values within the filter region R, the the middle value, if the consequence is sorted according to the size of their items.
void medianFilter(Image im) {
int w = im.getWidth();
int h = im.getHeight();
ImageProcessor copy = im.duplicate();
//vector to hold pixels from 3x3 neighborhood
int[] P = new int[9];
for (int v=1; v<=h-2; v++) {
for (int u=1; u<=w-2; u++) {
//fill the pixel vector P for filter position (u,v)
int k = 0;
for (int j=-1; j<=1; j++) {
for (int i=-1; i<=1; i++) {
P[k] = copy.getPixel(u+i,v+j);
k++;
}
}
//sort the pixel vector and take the center element
Arrays.sort(P);
im.putPixel(u,v,P[4]);
}
}
... //Image im can now be used
}
Version of the median filter, with which individual positions have different weights within the filter region. Weights are specified on a weight matrix, afterwards the flow as also like a normal median filter.
void weightedMedian (Image im, int[][] matrix) {
int w = im.getWidth();
int h = im.getHeight();
Image copy = copyImage(im);
// Filteroperation
int[] P = new int[9];
for (int v=1; v<=h; v++) {
for (int u=1; u<=w; u++) {
//fill the pixel vector P for filter position (u,v)
int k = 0;
for (int j=-1; j<=1; j++) {
for (int i=-1; i<=1; i++) {
//not forget to multiplicate with matrix
P[k] = copy.getPixel(u+i, v+j) * matrix[j+1][i+1];
k++;
}
}
//sort the pixel vector and take the center element
Arrays.sort(P);
im.setSample(u-1, v-1, 0, P[4]);
}
}
... //Image im can now be used
}
A binary image is a digital image that has only two possible values for each pixel. Typically the two colors used for a binary image are black and white though any two colors can be used. The color used for the object(s) in the image is the foreground color while the rest of the image is the background color. In the document-scanning industry this is often referred to as "bi-tonal".
void getBinaryImage(Image im, int threshold) {
int w = im.getWidth();
int h = im.getHeight();
Image copy = copyImage(im);
for (int v = 0; v < h; v++) {
for (int u = 0; u < w; u++) {
if(copy.getPixel(u, v) >= threshold) {
im.setSample(u, v, 0, 1);
} else {
im.setSample(u, v, 0, 0);
}
}
}
... //Image im can now be used
}
Dilation is one of the two basic operators in the area of mathematical morphology, the other being erosion. It is typically applied to binary images, but there are versions that work on grayscale images. The basic effect of the operator on a binary image is to gradually enlarge the boundaries of regions of foreground pixels (i.e. white pixels, typically). Thus areas of foreground pixels grow in size while holes within those regions become smaller.
Further information for Image Dilation can be found here.
void dilate (BinaryImage im, int[][] matrix) {
int w = im.getWidth();
int h = im.getHeight();
int newValue;
BinaryImage copy = copyBinaryImage(im);
for(int i = 1; i <= h; i++) {
for(int j = 1; j <= w; j++) {
newValue = 0;
//Maximum Filter
for(int k = -1; k <= 1; k++) {
for(int l = -1; l <= 1; l++) {
int filterVal = matrix[k+1][l+1];
if(filterVal == 1) {
filterVal = -255;
}
int bufferVal = copy.getPixel(j+l, i+k);
bufferVal += filterVal;
// check max
if (bufferVal > newValue) {
newValue = bufferVal;
}
}
}
im.setSample(j-1, i-1, 0, newValue);
}
}
... //Image im can now be used
}
Erosion is one of the two basic operators in the area of mathematical morphology, the other being dilation. It is typically applied to binary images, but there are versions that work on grayscale images. The basic effect of the operator on a binary image is to erode away the boundaries of regions of foreground pixels (i.e. white pixels, typically). Thus areas of foreground pixels shrink in size, and holes within those areas become larger.
Further information for Image Erosion can be found here.
void erose (BinaryImage im, int[][] matrix) {
int w = im.getWidth();
int h = im.getHeight();
int newValue;
BinaryImage copy = copyBinaryImage(im);
for(int i = 1; i <= h; i++) {
for(int j = 1; j <= w; j++) {
newValue = 255;
// Minimum Filter
for(int k = -1; k <= 1; k++) {
for(int l = -1; l <= 1; l++) {
int filterVal = matrix[k+1][l+1];
if(filterVal == 1) {
filterVal = -255;
}
int bufferVal = copy.getPixel(j+l, i+k);
bufferVal -= filterVal;
// check min
if (bufferVal < newValue) {
newValue = bufferVal;
}
}
}
im.setSample(j-1, i-1, 0, newValue);
}
}
... //Image im can now be used
}
The sequential region labeling is a classic, non-recursive
technology, also known as "Region Labeling" in the literature.
The algorithm consists of two main steps:
(1) Temporarily label the regions
(2) Resolution of multiple labels in the same region
The method (especially in the second step) is relatively complex,
but because of its moderate Memory requirements quite common.
SEQUENTIALLABELING(I) - I: binary image (0 = background, 1 = foreground)
PASS 1 – ASSIGN IINITIAL LABELS:
Initialize m ← 2 (the value of the next label to be assigned).
Create an empty set C to hold the collisions: C ← {}.
for v ← 0 ... H−1 do (H = height of image I)
for u ← 0 ... W−1 do (W = width of image I)
if I(u, v) = 1 then do one of:
if all neighbors are background pixels (all ni = 0) then
I(u, v) ← m.
m ← m +1.
else if exactly one of the neighbors has a label value nk > 1 then
set I(u, v) ← nk
else if several neighbors have label values nj > 1 then
Select one of them as the new label: I(u, v) ← k ∈ {nj}.
for all other neighbors with label values ni>1 and ni!=k do
register the pair ni, k as a label collision:
C ← C ∪{ni, k}.
Remark: The image I now contains label values 0, 2, . . .m−1.
PASS 2 – RESOLVE LABEL COLLISIONS:
Let L = {2, 3, . . . m−1} be the set of preliminary region labels.
Create a partitioning of L as a vector of sets, one set for each label
value: R ← [R2,R3, . . . ,Rm−1] = [{2}, {3}, {4}, . . . , {m−1}], so
Ri = {i} for all i ∈ L.
for all collisions (a, b) ∈ C do
Find in R the sets Ra, Rb containing the labels a, b, resp.:
Ra ← the set which currently contains label a
Rb ← the set which currently contains label b
if Ra != Rb (a and b are contained in different sets) then
Merge sets Ra and Rb by moving all elements of Rb to Ra:
Ra ← Ra ∪ Rb
Rb ← {}
Remark: All equivalent label values (i.e., all labels of pixels in the
same region) are now contained in the same sets within R.
PASS 3: RELABEL THE IMAGE:
Iterate through all image pixels (u, v):
if I(u, v) > 1 then
Find the set Ri in R which contains label I(u, v).
Choose one unique, representative element k from the set Ri
(e.g., the minimum value, k ← min(S)).
Replace the image label: I(u, v) ← k.
return the labeled image I.


---
layout: default
title: Jack Dempsey
---
Blog Posts
{% for post in site.posts %}
- {{ post.date | date_to_string }} » {{ post.title }}
{% endfor %}
Some Open Source Projects
- Beet: Easily mixable recipes for Ruby and Rails.
- Writeme: A tool to generate Writeme Spec READMEs.
- Interested People: Rails 3 mailing/interested list engine.
- Spy: Rails 3 engine for easily switching user identities.


--- layout: page title: Submenu level 3 permalink: /menu-levels/menu-level-3/submenu-level-3/ group: menu-level-3 ---
This is an example for a menu with levels


Kellogg’s: FMCG brands make mistakes when they just check the digital box
Kellogg’s is building a hybrid customer strategy that builds on its legacy while making it fit for the digital landscape.
By Molly Fleming 18 Nov 2019 4:06 pm
Kellogg’s head of digital is urging FMCG brands to not “just check the digital box” and instead think holistically about how digital is integrated across the business.
Speaking at the IGD conference last week, the brand’s chief global digital consumer and customer experience officer, Julie Bowerman explained: “CPG can make mistakes [when] just checking the digital box.”
Bowerman, who heads up the company’s digital strategy, added: “Often ecommerce is put in sales or marketing when it’s both. You need to build a vision [which includes] both. [To do this], you hire the right people and create the right investments. We think about it holistically.”
This holistic model includes a hybrid strategy that capitalises on Kellogg’s heritage while adopting leaner strategies favoured by digital disruptors.

Bowerman also noted that she staffed her team with a “blended” mix of talent that includes more traditional FMCG marketers and more tech-focused hires, noting “both matter and bring unique capabilities.”
She is also expanding her team’s reach across the business: “We are training our account teams with the language and skills of ecommerce.”
Bowerman admits that although Kellogg’s “is not perfect”, when it comes to being a digital company the brand is “wiring cross-functional partnerships” so this way of working is ingrained in the business.
“We are constantly integrating with finance and supply chain and bringing them in early on. We are constantly stewarding so it becomes ingrained as part of a team, telling [others] why we’re doing [something] and what the value is,” she added.
Speaking about how the brand has had to change with the advent of digital disrupters, she said: “Our competitors are much more vast, so the range and scale of innovation needs to be more broad and vast as that’s what shoppers expect.”
She added that consumers habits are also changing as “search is replacing TV as a means of discovery”.
Alongside her desire for a mixed team, Bowerman said that building an overarching culture is vital.
She explained: “The most important [thing] is the culture and team dynamics. I like to use the word scrappy but scrappy means you break down barriers, you don’t need to wait to do things and you figure things out.”


Design and FEM Analysis of Navigation Grade Low Noise and High Sensitivity Capacitive MEMS Accelerometer based on SOIMUMPs Process Constraints
Description
the design of a single DoF capacitive MEMS accelerometer considering the commercially available microfabrication process constraints. The microfabrication process considered for the design optimization is SOIMUMPs process with silicon material and structural layer thickness of 25 μm. The performance of the MEMS accelerometer is analyzed using both analytical and finite element method (FEM) based simulations. The proposed design offers high sensitivity, low noise, and resolution of 2 mg for an input acceleration range of ±50 g. The high mechanical and capacitance sensitivity is achieved by designing the symmetric suspension beams, utilizing the maximum area on the periphery of the proof mass and gap-antigap based differential capacitance sensing. The proposed design is ready for fabrication, with performance parameters that meet the requirement of its use in navigation grade defense applications.
<-- A detailed analytical model,
considering the dynamics of both the electro-thermal actuator and multi-mass system, is developed.
A parametric optimization is carried out, considering the microfabrication process constraints of the
Metal Multi-User MEMS Processes (MetalMUMPs), to achieve high gain. The stiffness of suspension
beams is optimized such that the sense mode resonant frequency lies in the flat region between the
first two resonant peaks in the drive mode. The results acquired through the developed analytical
model are verified with the help of 3D finite element method (FEM)-based simulations. The first
three resonant frequencies in the drive mode are designed to be 2.51 kHz, 3.68 kHz, and 5.77 kHz,
respectively. The sense mode resonant frequency is designed to be 3.13 kHz. At an actuation voltage
of 0.2 V, the dynamically amplified drive mode gain in the sense mass is obtained to be 18.6 µm. With
this gain, a capacitive change of 28.11 f F and 862.13 f F is achieved corresponding to the sense mode
amplitude of 0.15 µm and 4.5 µm at atmospheric air pressure and in a vacuum, respectively.
Operating Principle
Fig. 1 shows the schematic of the proposed single-axis
MEMS accelerometer design. The material of the whole structure is Silicon with structural layer thickness of 25 μm.
The design consists of a rectangular proof mass which is suspended through serpentine shaped suspension beams,
acting as mechanical springs. Since the transduction mechanism is capacitive, rectangular combs are attached to
the top and bottom of proof mass which act as capacitors. Unlike the designs reported previously on single-axis
accelerometers, extra combs are also attached on the branch segments of the proof mass, to increase the capacitance
change. The other end of the mechanical spring is attached with the anchor, to which stator combs are also attached. The
stator and rotor combs are kept in gap-antigap configuration to obtain maximum capacitance change. To prevent the
damage of the design due to the collision of rotor combs with stator combs during input shock acceleration or pull-in effect,
circular shaped end stoppers are also designed and attached to the anchor. The combs on the top and left side of the proof
mass make one set of capacitor pairs and those present on the bottom and right side of the proof mass make second capacitor
pairs. These two sets of capacitor pairs will work in gapantigap configuration during the motion of the proof mass
corresponding to an input acceleration. For the working of accelerometer, a bias voltage is applied to these two sets of
capacitor pairs and the proof mass is grounded. For this purpose, the electrical isolation is included in the MEMS
accelerometer design.
The proposed accelerometer can be modelled using a conventional mass, spring and damper system as shown in
Fig. 2. Following Newton’s second law of motion, under an input acceleration, the proof mass of the accelerometer
undergoes a displacement from its rest position and magnitude of this displacement is proportional to the input acceleration.
Hence, the modelling can be done using a second order differential equation which is given as:
mxሷ+cxሶ+kex=ma cos ωt (1) where m is mass value of the proof mass, c is the damping
coefficient, ke is the stiffness of the suspension beams and a is the magnitude of input acceleration with frequency ω, which
results in displacement of proof mass with magnitude x. By solving (1) and considering x(t)=xcos (ωt െ α), the equation
for the displacement of proof mass can be written as:
FEM Simulation Results
a FEM-based natural frequency analysis is carried out. The boundary conditions and material
properties are input parameters while mode shapes and resonant frequencies are the output responses of the modal analysis. The structural parts are modeled using Solid 98 elements. The optimized mesh
size is selected based on patch conforming algorithm for tetrahedrons method control. The desired
mode shapes with their associated resonant frequencies are shown in Figure 14. Table 3 shows the
comparison of the drive mode resonant frequencies obtained using FEM analysis to that obtained
using an analytical model. The percentage deviation is less than 1%, thus validating the accuracy of
the developed analytical model.The frequency at which the system oscillates with maximum amplitude in the absence of any external force is
known as natural or resonance frequency. For the operation of MEMS accelerometer, an in-plane oscillation of the proof
mass is required. Hence, modal analysis is performed to determine the natural frequency and corresponding mode
shape of the MEMS accelerometer. Fig. 4 shows the first two mode shapes obtained for proposed MEMS accelerometer
design obtained through FEM simulation in the CoventorWare. The first mode is along x-axis with frequency
of 3472.13 Hz. The second mode is along z-axis with frequency of 5302.75 Hz, which shows that the two modes are
well separated in frequency.
a FEM-based natural frequency analysis is carried out. The boundary conditions and material
properties are input parameters while mode shapes and resonant frequencies are the output responses of the modal analysis. The structural parts are modeled using Solid 98 elements. The optimized mesh
size is selected based on patch conforming algorithm for tetrahedrons method control. The desired
mode shapes with their associated resonant frequencies are shown in Figure 14. Table 3 shows the
comparison of the drive mode resonant frequencies obtained using FEM analysis to that obtained
using an analytical model. The percentage deviation is less than 1%, thus validating the accuracy of
the developed analytical model.The frequency at which the system oscillates with maximum amplitude in the absence of any external force is
known as natural or resonance frequency. For the operation of MEMS accelerometer, an in-plane oscillation of the proof
mass is required. Hence, modal analysis is performed to determine the natural frequency and corresponding mode
shape of the MEMS accelerometer. Fig. 4 shows the first two mode shapes obtained for proposed MEMS accelerometer
design obtained through FEM simulation in the CoventorWare. The first mode is along x-axis with frequency
of 3472.13 Hz. The second mode is along z-axis with frequency of 5302.75 Hz, which shows that the two modes are
well separated in frequency.
After the identification of the required mode shape and
resonance frequency from the modal analysis, a harmonic
analysis is carried to determine the amplitude response of the
MEMS accelerometer at different input acceleration
magnitudes over a range of frequencies. The accelerometer is
given an acceleration of magnitude ranging from 10-50g and
a set of frequency response curves are obtained as shown in
Fig. 5. It can be depicted from the curves that proof mass
moves with a maximum displacement at resonance. For the
current case, the accelerometer is desired to work in the linear
region i.e., ω≪ωn, and in this region the response is linear
with frequency bandwidth of DC-300 Hz.
Matlab Code
For MATLAB code, please click the Link-1
CAD Model
For CAD Model, please click the Link-2


{% include 'includes/$head.html' %}
Description : {{ mission.mission }}
Description : {{ detail.mission }}


{% extends 'layouts/app.html' %} {% import 'macros/form.html' as f with context %} {% block title %}Sign up for a new account{% endblock %} {% block body %}


Behavior of rendering distrust
Version 0.2.180706
Alpha release.
Terms and conditions
By using this product, you agree that everything that you submit to the server will be available to everyone else, that includes anonymous entities.
There is no encryption of data or privacy, therefore anyone may use this data as they see fit.
Do not submit data that you do not what to share with everyone.
This is an open platform where the sharing of “Trust” is the basics of the system. Data stored on client is for caching purposes.


{% extends "home.html" %} {% load staticfiles %} {% block nav %}
Alex Clark has been blogging since 2007. His personal and professional blog is located here:
http://blog.aclark.net


| Number of Classes | Line Coverage | Mutation Coverage |
|---|---|---|
| 5 | 92% | 88% |
| Name | Line Coverage | Mutation Coverage |
|---|---|---|
| Covariance.java | 94% |
90% |
| PearsonsCorrelation.java | 97% |
94% |
| SpearmansCorrelation.java | 95% |
92% |
| StorelessBivariateCovariance.java | 90% |
89% |
| StorelessCovariance.java | 75% |
75% |


A BaseHTTPServer subclass that calls a method at a regular interval.
| def google.appengine.tools.old_dev_appserver.HTTPServerWithScheduler.__init__ |
( |
|
self, |
|
|
|
server_address, |
|
|
|
request_handler_class |
|
) |
| |
Constructor.
Args:
server_address: the bind address of the server.
request_handler_class: class used to handle requests.
| def google.appengine.tools.old_dev_appserver.HTTPServerWithScheduler.AddEvent |
( |
|
self, |
|
|
|
eta, |
|
|
|
runnable, |
|
|
|
service = None , |
|
|
|
event_id = None |
|
) |
| |
Add a runnable event to be run at the specified time.
Args:
eta: when to run the event, in seconds since epoch.
runnable: a callable object.
service: the service that owns this event. Should be set if id is set.
event_id: optional id of the event. Used for UpdateEvent below.
| def google.appengine.tools.old_dev_appserver.HTTPServerWithScheduler.get_request |
( |
|
self, |
|
|
|
time_func = time.time , |
|
|
|
select_func = select.select |
|
) |
| |
Overrides the base get_request call.
Args:
time_func: used for testing.
select_func: used for testing.
Returns:
a (socket_object, address info) tuple.
| def google.appengine.tools.old_dev_appserver.HTTPServerWithScheduler.handle_request |
( |
|
self | ) |
|
Override the base handle_request call.
Python 2.6 changed the semantics of handle_request() with r61289.
This patches it back to the Python 2.5 version, which has
helpfully been renamed to _handle_request_noblock.
| def google.appengine.tools.old_dev_appserver.HTTPServerWithScheduler.serve_forever |
( |
|
self | ) |
|
Handle one request at a time until told to stop.
| def google.appengine.tools.old_dev_appserver.HTTPServerWithScheduler.stop_serving_forever |
( |
|
self | ) |
|
Stop the serve_forever() loop.
Stop happens on the next handle_request() loop; it will not stop
immediately. Since dev_appserver.py must run on py2.5 we can't
use newer features of SocketServer (e.g. shutdown(), added in py2.6).
| def google.appengine.tools.old_dev_appserver.HTTPServerWithScheduler.UpdateEvent |
( |
|
self, |
|
|
|
service, |
|
|
|
event_id, |
|
|
|
eta |
|
) |
| |
Update a runnable event in the heap with a new eta.
TODO: come up with something better than a linear scan to
update items. For the case this is used for now -- updating events to
"time out" channels -- this works fine because those events are always
soon (within seconds) and thus found quickly towards the front of the heap.
One could easily imagine a scenario where this is always called for events
that tend to be at the back of the heap, of course...
Args:
service: the service that owns this event.
event_id: the id of the event.
eta: the new eta of the event.
The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/tools/old_dev_appserver.py


Reports packages whose names are either too short, too long, or do not follow the specified regular expression pattern.
Example:
package io;
Use the options to specify the minimum and maximum length of the package name
as well as a regular expression that matches valid package names
(regular expressions are in standard java.util.regex format).


Data Explorer: Asthma
Get data for:
Asthma ED visits
(NTA)
Asthma ED visits (UHF)
Asthma hospitalizations
(NTA)
Asthma hospitalizations
(UHF)
Asthma prevalence
Related Topics:
Air Quality
Housing
Data Stories
About Asthma
Overview
Asthma is a common disease in which the lungs become swollen, making breathing difficult. Symptoms include wheezing, coughing, shortness of breath and tightness in the chest. The exact causes of asthma are not known. Asthma cannot be cured, but it can be controlled.
Asthma is a leading cause of emergency room visits, hospitalizations and missed school days in New York City's poorest neighborhoods. In NYC, asthma is more common among low-income Black and Latino children.
Asthma and the Environment
Certain things in the environment can trigger an asthma attack or make symptoms worse. Common triggers include:
- Tobacco smoke
- Air pollution, such as particulates, ozone and diesel exhaust
- Dust mites, cockroaches and mold
- Pollen
- Pets
Download the Asthma and Environment Neighborhood Report on this website to see how your neighborhood compares to others.
Controlling Asthma
Asthma does not have to prevent you from leading an active and healthy life. You can take charge by having a plan to control asthma, including these strategies for avoiding asthma triggers:
- Check the weather report daily for air pollution level ("air quality index") and pollen counts. Limit time outside when air pollution levels or pollen counts are high.
- If you smoke, quit. Don't allow smoking in your home or car.
- Remove clutter and clean regularly to reduce dust levels in your home.
- Work with your landlord to fix leaks promptly to prevent mold. If your landlord fails to fix the problem, call 311.
- Do not allow furry pets on the furniture or in the bedroom.
- Pest proof your home. If building conditions may be attracting pests, contact your landlord. If your landlord does not addres your concerns, call 311.


--- title: Save the state in javascript tree js: examples/save_state.js ---
If you set the option saveState to true, then jqtree remembers the tree state after a page reload.
Giving the saveState a string value sets the storage key. The default key is 'tree'.
{% highlight js %} $('#tree1').tree({ saveState: 'my-tree' }); {% endhighlight %}


Your {{ meals }} is ${{ costs }} and {{ calories }} cal. with {% for tag in tags %} #{{ tag }} {% endfor %}
You saved ${{ changes }} change!
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SwaggerDocument
public struct SwaggerDocument : Encodable
Undocumented
-
Undocumented
Declaration
Swift
public init(title: String = "Kitura Project", description: String = "Generated by Kitura", version: String = "1.0")
-
Gets a set of the types that have completed processing.
Declaration
Swift
public var processedTypes: Set<TypeInfo> { get }
-
Gets a set of the types that have yet to be processed.
Declaration
Swift
public var unprocessedTypes: Set<TypeInfo> { get }


A Wedding To Remember
Our carriages can be pulled by two, four or six white or black horses. The horses are immaculately groomed and extensively trained to draw a carriage in traffic. They have a calm temperament and are comfortable with crowds.
You tell us what you need and we will adjust, we can cater for many different types of events.
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Bios | ECA World Fitness
Bios. Carol Scott; Gary Scott; ECA Staff. President, International Presenter. A.C.E. Certified Aerobic Instructor A.C.E. Gold Certified Personal Trainer .
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Influencing Change in Complex Times: November 26-28, 2012 - Cvent
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Trainer Bios. Personal Training can help you to reach your goals faster while making sure to maintain safety and balance. Whether you want to work on weight .
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Personal Training at Life Time
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Get a Personal Trainer Fitness 1st Boot Camp
Jul 11, 2010 . George Juice Bell is a native of Fayetteville, NC. He attended Jack Britt High School where he was an All-American Football Player, and also .
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How to Write a Personal Trainer Bio | eHow.com
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Trainer Bios - YMCA of the North Shore
Trainer Bios. Jimmy Alberino (Salem, MA) Spin instructor and personal trainer. Methods of training are functional, circuit, interval training, cardio, plyometrics and .
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Personal Trainer Bios - UCI Campus Recreation
Certification: NASM-Certified Personal Trainer and AFFA-Certified Group Exercise Instructor; Specialties: Kickboxing and Kinesis; Favorite Activities: Surfing, .
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Leadership Academy Trainer Bios - O`ahu
Home > Leadership Academy > Speaker Bios . organization design, process reengineering and IT improvements for a civilian agency of over 1100 personnel .
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Welcome to MYTDOG! : : Staff and Trainer Bios
About Us > Staff & Trainer Bios . They had a resume full of placements, personal records and being placed in the World DockDogs® rankings as the #1 GSP .
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Stone Creek Club & Spa View Club Personnel
Jonathan Hernandez Personal Trainer<PHONE_NUMBER>. View Bio. Mallory Masson Personal Trainer<PHONE_NUMBER>. View Bio .
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ITS Personal Training
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Certified Federal Job Search - Trainer Bios
Kathryn K. Troutman President of The Resume Place, Author, Trainer . Air Force District of Washington's Manpower, Personnel and Service Directorate (A1).
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Trainer Biographies | VICSERV
Sue Harrison Senior Trainer, VICSERV. Sue has . She has strong credentials in learning and development, project, personnel, time and case management.
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SpecOps Staff Bios
Specops Staff Bios . Government Detention & Hostage Negotiation (PGD/HD SERE 245); Personnel Recovery (JPRA 102); Survival, . Gifted Linguist and Instructor for language; Trainer for Bureau of Alcohol, Tobacco, and Firearms SWAT .
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Executives & Key Personnel Bios . HEALTH & SAFETY PERSONNEL . Authorized 10 & 30 Hour OSHA Outreach Trainer (Construction & General Industry) .
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Personnel Bios - Worldview Resource Group
Personnel Bios · Strauss Blog . Today, Greg is an Adjunct Trainer with WRG, but focuses most of his attention on the Waxe Bible translation. He and Laura live .
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Created by Cameron Manavian / @camsjams
If you can not measure it, you can not improve it.
Application measurement is usually the hardest to accomplish ... and the most important!
The User Data Protocol is a connectionless transmission, meaning no handshakes ... but also no guarantee of delivery, de-duplication, or time ordering.
For stats, this fire and forget model works fine!There is no overhead for adding a new metric
client.timing('time_to_send_emails', 4000);
client.increment('number_of_new_offers');
client.gauge('active_connections', 1337);
client.set('users', currentUserId);
client.increment('login_success');
// elsewhere
client.increment('login_failure');
We’ve found that tracking everything is key to moving fast, but the only way to do it is to make tracking anything easy. Using StatsD, we enable engineers to track what they need to track, at the drop of a hat, without requiring time-sucking configuration changes or complicated processes.
To measure is to know.
- Source


PurlPal is a tool to help knitters keep track of their place in patterns. Unlike other tools which require the use of a knitter's hands, PurlPal uses speech and gesture recognition to automatically and dynamically keep track of progress. It was built as the final project for MIT's 6.835 - Multimodal User Interfaces.


Find Vaccine
Australia
India
USA
Vaccination given around the world
Australia
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Vaccination given around the world


Join now!
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Saturday, June 21, 2003
Dodgers Topple Angels
Strong pitching and four solo homers lift L.A. to 5-2 win. Above, Dodger David Ross rounds the bases. (AP)
Senate OKs Drug Imports
By Nick Anderson
Plan would allow pharmacists to import low-cost drugs from Canada.
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Union Pacific Derailed Runaway Freight Train
By Kurt Streeter, Seema Mehta, Megan Garvey
Railroad officials say they had few choices on how or where to stop a speeding train that slammed into a Commerce neighborhood without warning. PHOTOS
Deal in Works for Gaza, Bethlehem
By Robin Wright
Plan to transfer control to new Palestinian government would more than quadruple the area of Israel's withdrawal.
Hiring the Senators' Sons
By Chuck Neubauer, Judy Pasternak
and Richard T. Cooper
SUNDAY PREVIEW: Stiffer rules are making it harder to direct cash to a congressman. But you can still put his family on the payroll.
GRAPHIC: Family Connections
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Real men wear girls' jeans
By Michael Quintanilla
FASHION: For the more adventurous modern man of style, a stroll to the women's jeans section just might be the ticket to a slimmer fit.
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Cue the stars; cut the music
By Lisa Rosen
TELEVISION: To woo its fickle audience, MTV has a slate of summer shows with celebrities who aren't just from the music industry.
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A series that wears well
By Elizabeth Jensen
TELEVISION: At a New York museum, HBO throws a party for 1,000 of "Sex and the City's" closest friends.
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Movie math that adds up to marketing
By Lorenza Muņoz
FILM: When Art Murphy pioneered the reporting of opening weekend grosses, he never thought those figures would become PR tools.
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Look him in the face
By Suzanne Muchnic
ART: Amedeo Modigliani is known for his stylized portraits, but new exhibitions dig deeper.
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{% extends 'base.html' %} {% import 'bootstrap/wtf.html' as wtf%} {% block content %}
Make it possible for other users to interact with your blogs by creating your personal profile


{% extends 'base.html' %} {% block title %} Home {% endblock %} {% block css %} {% endblock %} {% block body %}
This space is created to host awareness sessions virtually, especially for the people who are often not aware of the signs they should look for to diagnose lethal diseases in the early stages. You can schedule a new conference here. Everyone registered with the application will be invited to participate in this conference. The conference will be hosted on Zoom so that the attendees have an option to join in via call, in case they do not have access to internet.


Code highlight is a feature with predefined styles for HTML, CSS, JavaScript and JSON. These styles are a customization for the languages supported by the library highlight.js.
admin4b-highlight.min.css
file present in the NPM package.
@@include('includes/code-examples/components/code-highlight/how-to-use.html')


I ordered my littleBits Arduino module a few weeks back and haven't played around with it yet. So what better day than today to try out the Etch-a-Sketch sketch?
Since I teach electronics, I'm always on the look out for fun and friendly teaching tools. I'll leave my thoughts on this particular Arduino add-on for another day but, overall, it's got potential.
- Pearl
p.s. I made the tiniest of modifications to the Processing sketch. You can find my version here.


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Contiki 2.5
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Mesh callbacks. More...
#include </cygdrive/e/share/contiki/core/net/rime/mesh.h>
Data Fields | |
| void(* | recv )(struct mesh_conn *c, const rimeaddr_t *from, uint8_t hops) |
| Called when a packet is received. | |
| void(* | sent )(struct mesh_conn *c) |
| Called when a packet, sent with mesh_send(), is actually transmitted. | |
| void(* | timedout )(struct mesh_conn *c) |
| Called when a packet, sent with mesh_send(), times out and is dropped. |
| void(* mesh_callbacks::recv)(struct mesh_conn *c, const rimeaddr_t *from, uint8_t hops) |
| void(* mesh_callbacks::sent)(struct mesh_conn *c) |
Called when a packet, sent with mesh_send(), is actually transmitted.
| void(* mesh_callbacks::timedout)(struct mesh_conn *c) |
Called when a packet, sent with mesh_send(), times out and is dropped.


THREE TO TANGO A film review by Steve Rhodes Copyright 1999 Steve Rhodes RATING (0 TO ****): ***
Over the years I've gotten numerous letters from people infuriated at me for not liking one of their favorite films. One of the frequent complaints is that it is clear to them that I would never like the film in the first place, so why did I bother to go?
Damon Santostefano's THREE TO TANGO, starring Matthew Perry, Neve Campbell and Dylan McDermott, provides one answer to those questions. (The other answer is that I review everything for my readers.) Going into this movie, I had extremely low expectations. The last time I saw the two male leads, FOOLS RUSH IN (Perry) and 'TIL THERE WAS YOU (McDermott), I hated the pictures in general and their performances in particular. Moreover, THREE TO TANGO's theme of a gay guy who really isn't was not something that sounded at all promising.
  Its high-spirited swing music matches perfectly the happy tone of the production. (The show is neatly bracketed with two energetic song and dance numbers in the opening and closing credits.) And lensed by Walt Lloyd with a neon gloss of bright blues and greens, the picture looks terrific.
As Amy, an upcoming, modern artist, Neve Campbell (WILD THINGS) gives an adorable, pixyish performance that could charm the paint off the walls. As superrich cad Charles Newman, Dylan McDermott turns his usually unlikable demeanor into an attribute. Rodney Patrick Vaccaro's wryly funny script is tailor-made for Matthew Perry as Oscar Novak, a struggling architect. Nicely rounding out the cast is Oliver Platt (BULWORTH), an always-funny actor, as Oscar's partner, Peter Steinberg.
When we meet the architectural firm of Novak and Steinberg, they are about to make their proposal to Charles Newman for the renovation of The Telford Building in Chicago. They find that they are hopelessly outclassed in their presentation by a high-powered rival firm led by two other architects, played by Bob Balaban and John C. McGinley.
Novak and Steinberg turn out to have one advantage.  (His partner is believed to be straight, when in reality it's the other way around.) Oscar, being gay, proves to be just what Charles wants. Charles asks Oscar to spy on Amy, Charles's mistress, to make sure she isn't seeing any of her old boyfriends. And when, later, Amy ends up moving in with Oscar, even better. Life becomes more and more complicated for Oscar as he falls head over heels in love with Amy but doesn't dare tell her lest he lose his chance for the big architectural contract. Amy bonds heavily with Oscar and tells him things that she would never reveal to a potential boyfriend.
Perry's deadpan humor shines with some of his best lines being unprintable. One scene that had no business working, but does, concerns Oscar and Amy's first "date." After they eat rancid tuna-melts, they both find that vomiting provides not only relief but an icebreaker in their relationship as well due to their shared hardships. "It doesn't get much better than this," Oscar says with a smiling sincerity after he throws up. Done off screen, the regurgitation, my least favorite film feature, manages to be surprisingly endearing.
As the story unfolds, Oscar and Amy's relationship deepens and is much more believable than that of Harrison Ford and Kristin Scott Thomas in RANDOM HEARTS. The sexual tension between Oscar and Amy is palpable even if neither feels able to do anything about it. This tension is especially in evidence in a funny bubble bath scene. Amy, completely encased in opaque bubbles, starts telling Oscar about her one, brief lesbian fling, which happened during college. He listens with wide-open eyes. "I'm all for homosexuality when it comes to two gorgeous women -- or three," he says breathlessly in a revealing line.
Even when the movie turns slightly serious at the end, frequently the kiss of death for comedies, the director makes the events credible, even within the context of the unabashedly silly story. The result is a romantic comedy with a genuine chemistry between the lovers and plenty of laughs. A delightful story that manages somehow to be tender, it puts a magical little spell on its audience.
THREE TO TANGO is rated PG-13 for sex-related situations and language and would be fine for teenagers.
Email<EMAIL_ADDRESS>Web: http://www.InternetReviews.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


This Tab Widget only has a single section of content within it by default. Additional tabs/panels are collected from other locations in the DOM, and re-located within the Tab Widget.
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{% load i18n_with_welsh %}
{% blocktrans trimmed %} A lot of people are needed to make an election happen. Your council may be hiring polling station and counting staff for the upcoming elections. Contact {{ council }} Electoral Services team to see if they need help. {% endblocktrans %}
{% blocktrans with council_phone=council.electoral_services_phone_numbers.0 council_electoral_services_email=council.electoral_services_email %} You can email them at {{ council_electoral_services_email }} or call them on {{ council_phone }}. {% endblocktrans %}


Mushrooms -P. cubensis & Cannabis
This was my first experience with psilocybin.
After obtaining 10.5 grams (one quarter plus one eighth of an ounce) of cubensis from an aquaintance of ours, my friend T and I went to our usual hangout bar to wait for our friend G to join us. After an hour of waiting, I couldn't take the suspense and decided to down about 5 stems with caps. It was about 8pm and my last meal had been about seven hours earlier. The taste wasn't as bad as I had been led to believe. It was a bit like chewing on paper.
By the time G showed up, about another hour later, everybody's face looked abnormally pink and I was giggling like a girl uncontrollably. Despite this, I was convinced that the shrooms were having no effect, although it was obvious to T and G that I was tripping. We stayed at the bar until 10pm, amused by my intermittent giggling fits that came out of nowhere, and then decided to go to G's house so we could all trip together. G hadn't touched the shrooms yet and T had taken only two or three and was showing no signs of tripping.
Once at the house, G tried to 'catch up' with me by downing as many shrooms as I had. I also took more. Days later, I weighed out on a laboratory scale as many dried mushrooms as I thought I'd consumed that night, and concluded that my total dose must have been about 2 grams. I don't know how much T took, but his trip would be miserable, while mine would be glorious. We also smoked some weed.
We drank some more at G's place and talked until G started to feel his shrooms kick in, and then G suggested we go for a walk in the woods. T was almost passed out on the sofa and didn't wish to join us. The neighborhood around G's house was quiet as we walked past the houses on our way to the woods, a few blocks uphill. Before we entered the forest, G asked me what time it was. I looked at my watch and it said 2am. It only occurs to me now that four hours couldn't possibly have passed since we left the bar. At the time, both G and I accepted that it was 2am.
We walked around in the woods for perhaps half an hour, enjoying the strange, distorted sights. Trees seemed enormous and loomed ominously over us, extending their branches as if reaching out to grab us. Shadows seemed longer and moved strangely. As we were walking out of the woods, G asked me again what time it was. I looked at my watch and stopped dead in my tracks. It was 1:30am - half an hour earlier than when we'd entered the forest. I asked G to look at my watch and he agreed with the time. We joked about time going backwards and said that in a few more hours we'd be back at the bar again.
On the way back to G's house, we walked around the neighborhood through some of the back streets. Nothing looked real. Everything looked perfect. Everything was beautiful. All the grass was a uniform green, and every blade was cut to the same height and there wasn't a single weed in anyone's lawn. None of the paint on any of the houses was peeling. We both stopped and stared at one house in particular. G said that it looked like a prop on a movie set. If we walked up to it and kicked it, G said, it would fall over. I thought it looked like something out of an idealized 1950's family TV show, and kept staring at the front door waiting for Beaver Cleaver's mom to open it and wave to us. Oddly enough, I still wasn't convinced the shrooms were having an effect. It all seemed so subtle and gentle on the brain.
When we got back to G's house, we woke up T, who was still on the sofa.  G decided to make pasta. As he boiled the water, I looked at my watch and compared it to the kitchen clock. It was 2am (again). Actually, it was exactly 1:52. I asked G to confirm this, which he did. We cooked the ravioli for about 20 minutes, then took our plates onto the front porch to eat and listen to music on a portable radio. We took our time eating and listened to several songs.
After eating, we washed the dishes, then moved to the back yard, where we sat on chairs in the grass. At least an hour seemed to go by since I last looked at my watch. I now looked at it, and it was 1:45 !!! The shock must have shown on my face, because my friends asked me what was wrong. When I told them, T confirmed that it was 1:45 on his cell phone clock. I began to freak, but in a delighted way. I began to wonder if the perception of time and time itself are the same thing, and if altering brain chemistry could actually change the time. I got nothing but weird looks from my buddies. Okay, so maybe I couldn't tell what time it was, but then neither could they. For several hours, the time seemed to bounce back and forth between one and two o' clock.
As we sat there in the yard, I gazed out across the neighbor's back yards. The space seemed immense, as if I could see half a mile across other people's yards. Off in the distance, to my left, I saw an enormous, beautiful mansion. Towering over everything, to my right, was an enormous oak tree that seemed the size of a redwood to me in my beshroomed state. I was in awe of the whole scene. It was SO beautiful! I told myself that I loved the earth and that I loved living here, and had to be careful not to show my buddies how choked-up and teary-eyed I was getting.
Then my watch finally made it past two o' clock and I started coming back to normalcy. By three I was back in reality again. Days later, I went back to G's back yard and looked again in that direction. It was not possible to see very far across the other yards. There was no mansion off to the left, only a garage. There was no towering tree. There was no beautiful scene. Only then did I realize just how profoundly the shrooms had affected me.
This was my second experience with psilocybin.
After my first exposure to shrooms, my friend T decided to give me all of his leftovers from that night. I weighed it on a lab scale and it was 6.7 grams in total. I had read that to get the maximum effect out of psilocybin, you need to go over 5 grams, so I decided to do everything I had in one shot. Around 7pm I walked into the bar where my buddies hang out. I had just swallowed the shrooms and had a grin on my face. When my friend G found out what I had done, he demanded that I give him my car keys, which I did. He was much more experienced with mushrooms and had never done as much as I just did.
About twenty minutes later, everything became UNBELIEVABLY colorful! Objects had a weird prism effect around their edges and people's faces were orange. Nothing looked real. Everything took on an almost cartoon-like quality. I was expecting to level-out, but instead I just kept going deeper and deeper.
After about half an hour, I went downstairs to the bathroom because I felt the urge to purge. I stood there, swaying back and forth, staring at the floor. Then I saw thousands of little white dots that began swirling. The whole floor started squirming as if covered in maggots. Then I exploded into the toilet in a spray of vomit. After that, my friends suggested I go for a walk. They didn't realize just how bad I was doing or they would have come with me. I wandered out of the bar, disoriented . A feeling of panic began to come over me, yet there was nothing really wrong with me. I just had the unexplainable feeling that I had just made the biggest mistake of my life, and this was only the beginning.
I wandered around the neighborhood and got hopelessly lost, even though I've lived here my whole life. The visual part of my trip was over. As I walked, the psilocybin began to squeeze my emotions out of me like water out of a sponge. My thoughts fixated on my father, and how my relationship with him had ended for the second time after a failed attempt at reconciliation. The pain I felt was like every painful experience in my life had just happened a minute ago. Love, loss, mourning, guilt, shame, regret all poured out of me, and I became irrationally convinced that I was about to die and needed to reach out to my dad one last time.
I stopped a stranger on the street. I was sweating profusely and my pupils were probably the size of dimes. I asked him if I could use his cell phone.  He gave me his phone, but I couldn't think of anybody's phone number to call, so I gave him back his phone and asked him to point the way to the town center. He told me to keep walking the way I had been walking. I thanked him, walked one block and was lost again.
Somehow I made it back to the bar and asked my friends to take me home. G still had my car keys and drove for me, while T followed behind us in his car. They stopped at a pizzeria to get me some pizza and water to bring me down. I don't know how much time had elapsed. I thought I had been walking for hours, but they said I had only been away from the bar for 45 minutes. As G drove me home, I asked him to take me to my father. He wisely refused. I asked him to take me to the hospital. Again, he wisely refused. Thank God for friends, especially friends with more experience.
Once they got me home, I took a shower and crawled into bed and that's when things REALLY got weird. I was tripping worse than ever. In the darkness of my room, I stared at the ceiling, feeling very cold. Then suddenly, I began to experience a 'loss of self'. I began to merge with the room. I could still feel my body, but didn't feel connected to it. It was as if I was feeling the sensations in someone else's body. I wiggled my toes and that brought me back, but incompletely and only momentarily. I still had emotions too, but they didn't seem to be MY emotions. It was as if I was dispassionately observing someone else's emotional meltdown rather than my own.
Faces appeared to me, of my parents, my grandmother, other people I had known in life. But I couldn't think of anyone's name, and I was overcome by the feeling that NONE of these people were real, or that, at any rate, none of them mattered anymore. I was beyond that world. I felt that my entire life had been unreal, an illusion, a dream. Now, for the first time ever, I was waking up from that dream and seeing REALITY.
I discovered, to my horror, that reality is a cold, dark, lonely void. I no longer feared dying because 'dying' doesn't exist, only the void exists, and I was now trapped in that void. This was worse than dying. I realized that the one overwhelming emotion that God feels is loneliness. I also believed/feared that I could never return to the world I had known. The void had swallowed me and would never let me go.
(Note: the darkness. cold and out-of-body crap probably could have been remedied by getting up, turning on the lights, and turning off the air conditioner.)
Shortly afterwards, I began to feel myself coming back to reality. In another hour, I was fine. Badly shaken, I got up and wrote what I had just experienced. All in all, my trip lasted six hours. I won't say that I'll never do shrooms again, but I'll show more respect next time. Now that I've tried 2 grams and 6.7 grams, I would guess that the ideal dose (at least for me) is probably 2 to 3 grams.
Respect the power of the mushrooms.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Hello,
I’m Drew.
I am a front-end designer from Los Angeles, CA. I like designing with code.
Right now I am a product designer at Service Titan and help my wife Bethany run a food blog called A Simple Palate. Before that I was a front-end designer/developer at WebstaurantStore and an agency called YDOP. I’ve been designing and coding for about six years and am self-taught (thank you, internet).
I love Jesus, my wife Bethany, drums, tennis, well-designed technology, and black coffee.
Tools I'm Digging
There are so many design and code tools available to help designers and developers work better and faster (more and more pumped out on Product Hunt every day), but here’s a short list of my favorite tools that help with my specific workflow.
Figma
While Sketch might still be the industry standard screen UI design tool, Figma has been on the rise as a promiment tool in the area and is now my go-to. It’s free to start, has cloud backup and version control, and real-time collaboration. I mean, pretty sweet if you ask me. The prototyping tools are also very good and easy-to-use. And last but not least, you can use it in the browser. Boom.
VS Code
I made the switch from Sublime Text to VS Code about a year ago mainly for the built in Git tools that VS Code had to offer, but quickly realized it has many superior features; including well supported extensions and an integrated terminal.
Currently loving the One Dark Pro color theme with Inconsolata.
MacOS
Best operating system period. But, right now I’m currently exploring converting a Chromebook into a Linux local development machine using GalliumOS.
Adobe Photoshop
So much design magic in this app. Does pretty much everything that I can’t do in Figma/Sketch.
Local by Flywheel
Amazing tool by Flywheel to develop local Wordpress installs. The process is way easier than MAMP and you can sync your live installs to and from Flywheel, which is amazing. And it’s built rock solid by Flywheel, which is definitely the best dedication Wordpress hosting platform.
What This Site is Built With
Hugo
Incredibly fast static site builder. Easy to learn and get started, especially if you’re familiar with how Wordpress works. Currently using and loving the victor-hugo boilerplate.
Sass
CSS on steroids. Variables, nesting, mixins, nuff said. I’m also using a Sass plugin called Shevy to create a modular typography scale. Super handy.
Webfonts
Typography is one of the most important elements for any website. For this site, I’m using a fantastic flexible open source typeface called Inter UI. My go-to place for webfonts is defintely Google Fonts, and for type inspiration I’m a huge fan of Typewolf.
Cloudinary
All media from this site is stored on Cloudinary. Serves images from their fast cdn and they have a lot of tools to make working with media easier, including serving responsive images.
Netlify
Publish static site projects using the JAMstack. It’s free, and their platform just straight up rules. Highly recommend.


16.1 [almanac-game](Adapted from David Heckerman.) This exercise concerns the Almanac Game, which is used by decision analysts to calibrate numeric estimation. For each of the questions that follow, give your best guess of the answer, that is, a number that you think is as likely to be too high as it is to be too low. Also give your guess at a 25th percentile estimate, that is, a number that you think has a 25% chance of being too high, and a 75% chance of being too low. Do the same for the 75th percentile. (Thus, you should give three estimates in all—low, median, and high—for each question.)
Number of passengers who flew between New York and Los Angeles in 1989.
Population of Warsaw in 1992.
Year in which Coronado discovered the Mississippi River.
Number of votes received by Jimmy Carter in the 1976 presidential election.
Age of the oldest living tree, as of 2002.
Height of the Hoover Dam in feet.
Number of eggs produced in Oregon in 1985.
Number of Buddhists in the world in 1992.
Number of deaths due to AIDS in the United States in 1981.
Number of U.S. patents granted in 1901.
The correct answers appear after the last exercise of this chapter. From the point of view of decision analysis, the interesting thing is not how close your median guesses came to the real answers, but rather how often the real answer came within your 25% and 75% bounds. If it was about half the time, then your bounds are accurate. But if you’re like most people, you will be more sure of yourself than you should be, and fewer than half the answers will fall within the bounds. With practice, you can calibrate yourself to give realistic bounds, and thus be more useful in supplying information for decision making. Try this second set of questions and see if there is any improvement:
Year of birth of Zsa Zsa Gabor.
Maximum distance from Mars to the sun in miles.
Value in dollars of exports of wheat from the United States in 1992.
Tons handled by the port of Honolulu in 1991.
Annual salary in dollars of the governor of California in 1993.
Population of San Diego in 1990.
Year in which Roger Williams founded Providence, Rhode Island.
Height of Mt. Kilimanjaro in feet.
Length of the Brooklyn Bridge in feet.
Number of deaths due to automobile accidents in the United States in 1992.
16.2 Chris considers four used cars before buying the one with maximum expected utility. Pat considers ten cars and does the same. All other things being equal, which one is more likely to have the better car? Which is more likely to be disappointed with their car’s quality? By how much (in terms of standard deviations of expected quality)?
16.3 Chris considers five used cars before buying the one with maximum expected utility. Pat considers eleven cars and does the same. All other things being equal, which one is more likely to have the better car? Which is more likely to be disappointed with their car’s quality? By how much (in terms of standard deviations of expected quality)?
16.4 [St-Petersburg-exercise] In 1713, Nicolas Bernoulli stated a puzzle, now called the St. Petersburg paradox, which works as follows. You have the opportunity to play a game in which a fair coin is tossed repeatedly until it comes up heads. If the first heads appears on the $n$th toss, you win $2^n$ dollars.
Show that the expected monetary value of this game is infinite.
How much would you, personally, pay to play the game?
Nicolas’s cousin Daniel Bernoulli resolved the apparent paradox in 1738 by suggesting that the utility of money is measured on a logarithmic scale (i.e., $U(S_{n}) = a\log_2 n +b$, where $S_n$ is the state of having $\$n$). What is the expected utility of the game under this assumption?
What is the maximum amount that it would be rational to pay to play the game, assuming that one’s initial wealth is $\$k$?
16.5 Write a computer program to automate the process in Exercise assessment-exercise. Try your program out on several people of different net worth and political outlook. Comment on the consistency of your results, both for an individual and across individuals.
16.6 [surprise-candy-exercise] The Surprise Candy Company makes candy in two flavors: 75% are strawberry flavor and 25% are anchovy flavor. Each new piece of candy starts out with a round shape; as it moves along the production line, a machine randomly selects a certain percentage to be trimmed into a square; then, each piece is wrapped in a wrapper whose color is chosen randomly to be red or brown. 70% of the strawberry candies are round and 70% have a red wrapper, while 90% of the anchovy candies are square and 90% have a brown wrapper. All candies are sold individually in sealed, identical, black boxes.
Now you, the customer, have just bought a Surprise candy at the store but have not yet opened the box. Consider the three Bayes nets in Figure 3candy-figure.
Which network(s) can correctly represent ${\textbf{P}}(Flavor,Wrapper,Shape)$?
Which network is the best representation for this problem?
Does network (i) assert that ${\textbf{P}}(Wrapper|Shape){{\,{=}\,}}{\textbf{P}}(Wrapper)$?
What is the probability that your candy has a red wrapper?
In the box is a round candy with a red wrapper. What is the probability that its flavor is strawberry?
A unwrapped strawberry candy is worth $s$ on the open market and an unwrapped anchovy candy is worth $a$. Write an expression for the value of an unopened candy box.
A new law prohibits trading of unwrapped candies, but it is still legal to trade wrapped candies (out of the box). Is an unopened candy box now worth more than less than, or the same as before?
16.7 [surprise-candy-exercise] The Surprise Candy Company makes candy in two flavors: 70% are strawberry flavor and 30% are anchovy flavor. Each new piece of candy starts out with a round shape; as it moves along the production line, a machine randomly selects a certain percentage to be trimmed into a square; then, each piece is wrapped in a wrapper whose color is chosen randomly to be red or brown. 80% of the strawberry candies are round and 80% have a red wrapper, while 90% of the anchovy candies are square and 90% have a brown wrapper. All candies are sold individually in sealed, identical, black boxes.
Now you, the customer, have just bought a Surprise candy at the store but have not yet opened the box. Consider the three Bayes nets in Figure 3candy-figure.
Which network(s) can correctly represent ${\textbf{P}}(Flavor,Wrapper,Shape)$?
Which network is the best representation for this problem?
Does network (i) assert that ${\textbf{P}}(Wrapper|Shape){{\,{=}\,}}{\textbf{P}}(Wrapper)$?
What is the probability that your candy has a red wrapper?
In the box is a round candy with a red wrapper. What is the probability that its flavor is strawberry?
A unwrapped strawberry candy is worth $s$ on the open market and an unwrapped anchovy candy is worth $a$. Write an expression for the value of an unopened candy box.
A new law prohibits trading of unwrapped candies, but it is still legal to trade wrapped candies (out of the box). Is an unopened candy box now worth more than less than, or the same as before?
16.8 Prove that the judgments $B \succ A$ and $C \succ D$ in the Allais paradox (page allais-page) violate the axiom of substitutability.
16.9 Consider the Allais paradox described on page allais-page: an agent who prefers $B$ over $A$ (taking the sure thing), and $C$ over $D$ (taking the higher EMV) is not acting rationally, according to utility theory. Do you think this indicates a problem for the agent, a problem for the theory, or no problem at all? Explain.
16.10 Tickets to a lottery cost 1. There are two possible prizes: a 10 payoff with probability 1/50, and a 1,000,000 payoff with probability 1/2,000,000. What is the expected monetary value of a lottery ticket? When (if ever) is it rational to buy a ticket? Be precise—show an equation involving utilities. You may assume current wealth of $k$ and that $U(S_k)=0$. You may also assume that $U(S_{k+{10}}) = {10}\times U(S_{k+1})$, but you may not make any assumptions about $U(S_{k+1,{000},{000}})$. Sociological studies show that people with lower income buy a disproportionate number of lottery tickets. Do you think this is because they are worse decision makers or because they have a different utility function? Consider the value of contemplating the possibility of winning the lottery versus the value of contemplating becoming an action hero while watching an adventure movie.
16.11 [assessment-exercise]Assess your own utility for different incremental amounts of money by running a series of preference tests between some definite amount $M_1$ and a lottery $[p,M_2; (1-p), 0]$. Choose different values of $M_1$ and $M_2$, and vary $p$ until you are indifferent between the two choices. Plot the resulting utility function.
16.12 How much is a micromort worth to you? Devise a protocol to determine this. Ask questions based both on paying to avoid risk and being paid to accept risk.
16.13 [kmax-exercise] Let continuous variables $X_1,\ldots,X_k$ be independently distributed according to the same probability density function $f(x)$. Prove that the density function for $\max\{X_1,\ldots,X_k\}$ is given by $kf(x)(F(x))^{k-1}$, where $F$ is the cumulative distribution for $f$.
16.14 Economists often make use of an exponential utility function for money: $U(x) = -e^{-x/R}$, where $R$ is a positive constant representing an individual’s risk tolerance. Risk tolerance reflects how likely an individual is to accept a lottery with a particular expected monetary value (EMV) versus some certain payoff. As $R$ (which is measured in the same units as $x$) becomes larger, the individual becomes less risk-averse.
Assume Mary has an exponential utility function with $R = \$500$. Mary is given the choice between receiving \$500 with certainty (probability 1) or participating in a lottery which has a 60% probability of winning \$5000 and a 40% probability of winning nothing. Assuming Marry acts rationally, which option would she choose? Show how you derived your answer.
Consider the choice between receiving \$100 with certainty (probability 1) or participating in a lottery which has a 50% probability of winning \$500 and a 50% probability of winning nothing. Approximate the value of R (to 3 significant digits) in an exponential utility function that would cause an individual to be indifferent to these two alternatives. (You might find it helpful to write a short program to help you solve this problem.)
16.1 Economists often make use of an exponential utility function for money: $U(x) = -e^{-x/R}$, where $R$ is a positive constant representing an individual’s risk tolerance. Risk tolerance reflects how likely an individual is to accept a lottery with a particular expected monetary value (EMV) versus some certain payoff. As $R$ (which is measured in the same units as $x$) becomes larger, the individual becomes less risk-averse.
Assume Mary has an exponential utility function with $R = \$400$. Mary is given the choice between receiving \$400 with certainty (probability 1) or participating in a lottery which has a 60% probability of winning \$5000 and a 40% probability of winning nothing. Assuming Marry acts rationally, which option would she choose? Show how you derived your answer.
Consider the choice between receiving \$100 with certainty (probability 1) or participating in a lottery which has a 50% probability of winning \$500 and a 50% probability of winning nothing. Approximate the value of R (to 3 significant digits) in an exponential utility function that would cause an individual to be indifferent to these two alternatives. (You might find it helpful to write a short program to help you solve this problem.)
16.15 Alex is given the choice between two games. In Game 1, a fair coin is flipped and if it comes up heads, Alex receives \$100. If the coin comes up tails, Alex receives nothing. In Game 2, a fair coin is flipped twice. Each time the coin comes up heads, Alex receives \$50, and Alex receives nothing for each coin flip that comes up tails. Assuming that Alex has a monotonically increasing utility function for money in the range [\$0, \$100], show mathematically that if Alex prefers Game 2 to Game 1, then Alex is risk averse (at least with respect to this range of monetary amounts).
Show that if $X_1$ and $X_2$ are preferentially independent of $X_3$, and $X_2$ and $X_3$ are preferentially independent of $X_1$, then $X_3$ and $X_1$ are preferentially independent of $X_2$.
16.16 [airport-au-id-exercise]Repeat Exercise airport-id-exercise, using the action-utility representation shown in Figure airport-au-id-figure.
16.17 For either of the airport-siting diagrams from Exercises [airport-id-exercise] and [airport-au-id-exercise], to which conditional probability table entry is the utility most sensitive, given the available evidence?
16.18 Modify and extend the Bayesian network code in the code repository to provide for creation and evaluation of decision networks and the calculation of information value.
16.19 Consider a student who has the choice to buy or not buy a textbook for a course. We’ll model this as a decision problem with one Boolean decision node, $B$, indicating whether the agent chooses to buy the book, and two Boolean chance nodes, $M$, indicating whether the student has mastered the material in the book, and $P$, indicating whether the student passes the course. Of course, there is also a utility node, $U$. A certain student, Sam, has an additive utility function: 0 for not buying the book and 100 dollar for buying it; and 2000 dollar for passing the course and 0 for not passing. Sam’s conditional probability estimates are as follows: $ \begin { array } { ll } P(p|b,m) = 0.9 & P(m|b) = 0.9 \\ P(p|b, \lnot m) = 0.5 & P(m|\lnot b) = 0.7 \\ P(p|\lnot b, m) = 0.8 & \\ P(p|\lnot b, \lnot m) = 0.3 & \\ \end{array} $ You might think that $P$ would be independent of $B$ given $M$, But this course has an open-book final—so having the book helps.
Draw the decision network for this problem.
Compute the expected utility of buying the book and of not buying it.
What should Sam do?
16.20 [airport-id-exercise]This exercise completes the analysis of the airport-siting problem in Figure airport-id-figure.
Provide reasonable variable domains, probabilities, and utilities for the network, assuming that there are three possible sites.
Solve the decision problem.
What happens if changes in technology mean that each aircraft generates half the noise?
What if noise avoidance becomes three times more important?
Calculate the VPI for ${AirTraffic}$, ${Litigation}$, and ${Construction}$ in your model.
16.21 [car-vpi-exercise] (Adapted from Pearl [@Pearl:1988].) A used-car buyer can decide to carry out various tests with various costs (e.g., kick the tires, take the car to a qualified mechanic) and then, depending on the outcome of the tests, decide which car to buy. We will assume that the buyer is deciding whether to buy car $c_1$, that there is time to carry out at most one test, and that $t_1$ is the test of $c_1$ and costs 50 dollar .
A car can be in good shape (quality $q^+$) or bad shape (quality $q^-$), and the tests might help indicate what shape the car is in. Car $c_1$ costs 1,500 dollar , and its market value is 2,000 dollar if it is in good shape; if not, 700 dollar in repairs will be needed to make it in good shape. The buyer’s estimate is that $c_1$ has a 70% chance of being in good shape.
Draw the decision network that represents this problem.
Calculate the expected net gain from buying $c_1$, given no test.
Tests can be described by the probability that the car will pass or fail the test given that the car is in good or bad shape. We have the following information:
$ P ({pass}(c_1,t_1) | q^+(c_1)) = {0.8} $
$ P ({pass}(c_1,t_1) | q^-(c_1)) = {0.35} $
Use Bayes’ theorem to calculate the probability that the car will pass (or fail) its test and hence the probability that it is in good (or bad) shape given each possible test outcome.
Calculate the optimal decisions given either a pass or a fail, and their expected utilities.
Calculate the value of information of the test, and derive an optimal conditional plan for the buyer.
16.22 [nonnegative-VPI-exercise]Recall the definition of value of information in Section VPI-section.
Prove that the value of information is nonnegative and order independent.
Explain why it is that some people would prefer not to get some information—for example, not wanting to know the sex of their baby when an ultrasound is done.
A function $f$ on sets is submodular if, for any element $x$ and any sets $A$ and $B$ such that $A\subseteq B$, adding $x$ to $A$ gives a greater increase in $f$ than adding $x$ to $B$: $$A\subseteq B {\:\;{\Rightarrow}\:\;}(f(A{{\,{\cup}\,}}\{x\}) - f(A)) \geq (f(B{{\,{\cup}\,}}\{x\}) - f(B))\ .$$ Submodularity captures the intuitive notion of diminishing returns. Is the value of information, viewed as a function $f$ on sets of possible observations, submodular? Prove this or find a counterexample.
The answers to Exercise almanac-game (where M stands for million): First set: 3M, 1.6M, 1541, 41M, 4768, 221, 649M, 295M, 132, 25,546. Second set: 1917, 155M, 4,500M, 11M, 120,000, 1.1M, 1636, 19,340, 1,595, 41,710.


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DSA
Section: OpenSSL (1)Updated: 2009-04-10
Index Return to Main Contents
NAME
dsa - DSA key processingSYNOPSIS
openssl dsa [-inform PEM|DER] [-outform PEM|DER] [-in filename] [-passin arg] [-out filename] [-passout arg] [-des] [-des3] [-idea] [-text] [-noout] [-modulus] [-pubin] [-pubout] [-engine id]DESCRIPTION
The dsa command processes DSA keys. They can be converted between various forms and their components printed out. Note This command uses the traditional SSLeay compatible format for private key encryption: newer applications should use the more secure PKCS#8 format using the pkcs8COMMAND OPTIONS
- -inform DER|PEM
-
This specifies the input format. The DER option with a private key uses
an ASN1 DER encoded form of an ASN.1 SEQUENCE consisting of the values of
version (currently zero), p, q, g, the public and private key components
respectively as ASN.1 INTEGERs. When used with a public key it uses a
SubjectPublicKeyInfo structure: it is an error if the key is not DSA.
The PEM form is the default format: it consists of the DER format base64 encoded with additional header and footer lines. In the case of a private key PKCS#8 format is also accepted.
- -outform DER|PEM
- This specifies the output format, the options have the same meaning as the -inform option.
- -in filename
- This specifies the input filename to read a key from or standard input if this option is not specified. If the key is encrypted a pass phrase will be prompted for.
- -passin arg
- the input file password source. For more information about the format of arg see the PASS PHRASE ARGUMENTS section in openssl(1).
- -out filename
- This specifies the output filename to write a key to or standard output by is not specified. If any encryption options are set then a pass phrase will be prompted for. The output filename should not be the same as the input filename.
- -passout arg
- the output file password source. For more information about the format of arg see the PASS PHRASE ARGUMENTS section in openssl(1).
- -des|-des3|-idea
- These options encrypt the private key with the DES, triple DES, or the IDEA ciphers respectively before outputting it. A pass phrase is prompted for. If none of these options is specified the key is written in plain text. This means that using the dsa utility to read in an encrypted key with no encryption option can be used to remove the pass phrase from a key, or by setting the encryption options it can be use to add or change the pass phrase. These options can only be used with PEM format output files.
- -text
- prints out the public, private key components and parameters.
- -noout
- this option prevents output of the encoded version of the key.
- -modulus
- this option prints out the value of the public key component of the key.
- -pubin
- by default a private key is read from the input file: with this option a public key is read instead.
- -pubout
- by default a private key is output. With this option a public key will be output instead. This option is automatically set if the input is a public key.
- -engine id
- specifying an engine (by its unique id string) will cause dsa to attempt to obtain a functional reference to the specified engine, thus initialising it if needed. The engine will then be set as the default for all available algorithms.
NOTES
The PEM private key format uses the header and footer lines:
-----BEGIN DSA PRIVATE KEY----- -----END DSA PRIVATE KEY-----
The PEM public key format uses the header and footer lines:
-----BEGIN PUBLIC KEY----- -----END PUBLIC KEY-----
EXAMPLES
To remove the pass phrase on a DSA private key:
openssl dsa -in key.pem -out keyout.pem
To encrypt a private key using triple DES:
openssl dsa -in key.pem -des3 -out keyout.pem
To convert a private key from PEM to DER format:
openssl dsa -in key.pem -outform DER -out keyout.der
To print out the components of a private key to standard output:
openssl dsa -in key.pem -text -noout
To just output the public part of a private key:
openssl dsa -in key.pem -pubout -out pubkey.pem
SEE ALSO
dsaparam(1), gendsa(1), rsa(1), genrsa(1)
Index
This document was created by man2html, using the manual pages.
Time: 05:29:03 GMT, December 24, 2015


Vancouver opens more homeless shelters due to wet weather
by Taran ParmarSummary
Rain foretasted for Metro Vancouver has prompted the city to take action to help the homeless find a warm place to stay
With an extreme weather warning in effect, the city of Vancouver will be opening up several additional shelter spaces
Those who are in need of shelter Nov. 16 and 17 can dial 2-1-1 for availability
VANCOUVER (NEWS 1130) – Wet weather in the Lower Mainland is prompting the City of Vancouver to open up additional shelter spaces Saturday and Sunday.
With an extreme weather warning in effect, and rain expected in the region, nearly 100 spaces will be available for the homeless.
These include mats at four different sites in the city, with some spaces prioritized for women and youth.
Those who are in need of shelter Nov. 16 and 17 can dial 2-1-1 for availability.


This page covers the basics of adding SoundManager 2 to your project.
The minimal code needed to get SoundManager 2 going is below, with configurable parts highlighted. You can copy/paste it to get started. This page is also running the template code; If available, look at your JavaScript console for debug output from SM2.
You'll need to copy the files inside the script/ and swf/ subdirectories included with the SoundManager 2 package into your project.
At the bare minimum, you will need soundmanager2.js, soundmanager2.swf and soundmanager2_debug.swf for the default flash 8-based configuration. (Optionally, SM2 can use a Flash 9-based audio API which has MP4 support, data visualization and a few other features.)
This is a compact version of the template you can copy/paste to get started. For new users, see the commented version.
<script src="/path/to/soundmanager2.js"></script>
<script>
soundManager.setup({
url: '/path/to/swf-files/',
// optional: use 100% HTML5 mode where available
// preferFlash: false,
onready: function() {
var mySound = soundManager.createSound({
id: 'aSound',
url: '/path/to/an.mp3'
});
mySound.play();
},
ontimeout: function() {
// Hrmm, SM2 could not start. Missing SWF? Flash blocked? Show an error, etc.?
}
});
</script>
<!-- include SM2 library (see builds for optimized versions) -->
<script type="text/javascript" src="/path/to/soundmanager2.js"></script>
<!-- configure SM2 for your use -->
<script type="text/javascript">
soundManager.setup({
// location: path to SWF files, as needed (SWF file name is appended later.)
url: '/path/to/swf-files/',
// optional: version of SM2 flash audio API to use (8 or 9; default is 8 if omitted, OK for most use cases.)
// flashVersion: 9,
// optional: use 100% HTML5 mode where available
// preferFlash: false,
// use soundmanager2-nodebug-jsmin.js, or disable debug mode (enabled by default) after development/testing
// debugMode: false,
// good to go: the onready() callback
onready: function() {
// SM2 has started - now you can create and play sounds!
var mySound = soundManager.createSound({
id: 'aSound',
url: '/path/to/an.mp3'
// onload: function() { console.log('sound loaded!', this); }
// other options here..
});
mySound.play();
},
// optional: ontimeout() callback for handling start-up failure
ontimeout: function() {
// Hrmm, SM2 could not start. Missing SWF? Flash blocked? Show an error, etc.?
// See the flashblock demo when you want to start getting fancy.
}
});
</script>
By default, SM2 presently prefers Flash for MP3 + MP4 playback even on clients that support it natively via HTML5 due to some inconsistencies between browsers. If you'd like to go for 100% HTML5 mode, include preferFlash: false
in your soundManager.setup()
call.
Read up on HTML5 audio support, if you're feeling adventurous. iPad/iPhone and devices without flash installed will always use 100% HTML5 mode.
It's good to let users see the flash component of SM2, so those with flash blockers can unblock it and allow SM2 to start. For more info, see the Flashblock example.
SoundManager 2 will write debug output via console.log()
if available, by default. To disable it, simply specify debugMode: false
.
You can also write HTML-based debug output to the DOM via consoleOnly: false
and/or useConsole: false
.
To see related configuration code, refer to the source of this page which basically does all of the above "for real."
If SM2 is failing to start and throwing errors due to flash security, timeouts or other issues, check out the troubleshooting tool for tips.
Once development is finished, you can also use the "minified" (down to ~8% of original size with gzip!) version of SM2, which has debug output and comments removed for you: soundmanager2-nodebug-jsmin.js. Serve with gzip compression wherever possible for best bandwidth savings.


.sumInfoBox
League Rank Icon
Basic Summoner Info
Ranked Solo 5v5
3 days ago
Earned 75 IP
40m 20s
Victory
Aatrox
2
/
1
/
1
3.0:1
KDA
Level
10
300
CS
13.2k
Gold
4
+
1
Wards
Trinket
Player P1
Player P2
Player P3
Player P4
Player P5
Player B1
Player B2
Player B3
Player B4
Player B5
Ranked Solo 5v5
3 days ago
Earned 75 IP
40m 20s
Victory
Aatrox
2
/
1
/
1
3.0:1
KDA
Level 10
300 CS
13.2k Gold
4
+
1
Trinket
Player P1
Player P2
Player P3
Player P4
Player P5
Player B1
Player B2
Player B3
Player B4
Player B5
Ranked Solo 5v5
3 days ago
Earned 75 IP
40m 20s
Victory
Aatrox
2
/
1
/
1
3.0:1
KDA
Level 10
300 CS
13.2k Gold
4
+
1
Trinket
Player P1
Player P2
Player P3
Player P4
Player P5
Player B1
Player B2
Player B3
Player B4
Player B5


About: Wearable activity that uses your wearable screen as a flashlight. There is also a party-mode option, if you want to make things interesting.
How to run: Install the Wearable APK on the wearable, go to the voice menu (either by saying "OK Google" or tapping the home screen) and select the "Start..." option. Then, select "Flashlight" from the submenu.
Screenshots:


TermKit - Terminal UI Toolkit for Swift
This is a simple UI Toolkit for Swift, a port of my gui.cs library for .NET. While I originally wrote gui.cs, it has evolved significantly by the contributions of Charlie Kindel (@tig), @BDisp and various other contributors - this port is bringing their work.
This toolkit contains various controls for build text user interfaces using Swift.
You can checkout the documentation
Running this
From the command line:
$ swift build
$ swift run
From Xcode, if you want to debug, it is best to make sure that the application that you want to Debug (in this project, the “Example” target is what you want) has its Scheme for Running configured like this:
* Run/Info: Launch "Wait for Executable to be launched"
Then, when you run, switch to a console, and run the executable, I have my global settings for DerivedData to be relative to the current directory, so I can run it like this:
$ DerivedData/TermKit/Build/Products/Debug/Example
The location for where your executable is produced is configured in Xcode/Preferences/Locations, I just happen to like project-relative output like the example above shows.
Debugging
While debugging is useful, sometimes it can be obnoxious to single step or debug over code that is called too many times in a row, so printf-like debugging is convenient.
Except that prints go to the same console where your application is running, making this experience painful.
In that case, you can call Application.log
with a message, and this message will use
MacOS os_log
, which you can then either look for in the Console.app, or you can monitor from
a terminal window like this:
$ log stream --style compact --predicate 'subsystem == "termkit"'


SALVADOR DALI
Bio
RSalvador Domingo Felipe Jacinto Dalí i Domènech, 1st Marquis of Dalí de Púbol (11 May 1904 – 23 January 1989), known professionally as Salvador Dalí , was a prominent Spanish surrealist born in Figueres, Catalonia, Spain.Dalí was a skilled draftsman, best known for the striking and bizarre ..\..\..\Images in his surrealist work. His painterly skills are often attributed to the influence of Renaissance masters. His best-known work, The Persistence of Memory, was completed in August 1931. Dalí's expansive artistic repertoire included film, sculpture, and photography, at times in collaboration with a range of artists in a variety of media.
Artworks
Contact
Unfortunately, he's dead.


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