December 2017
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
26
27
Basketball Game
1:00pm-3:00pm
28
29
30
1
2
3
4
Project Due - 1st Draft
Noon
5
6
7
8
Grocery Shopping
Go after 2pm
9
10
11
12
13
14
Volunteering Committee Meeting
1:00pm
15
16
17
18
19
GoodWill Pickup
4:15pm
20
21
22
23
24
Christmas Eve Dinner
5:00pm
25
Christmas Dinner
1:00pm-3:00pm
26
27
28
Party Event
5:00pm
29
30
31
1
2
3
4
Happy Birthday, T!
1:00pm-3:00pm
5
6


{% extends "base_generic.html" %} {% block content %}
Welcome to Barnet Education Arts Trust Website, a draft website developed as a start to computer science coursework
You are here as a visitor. In order to browse the catalogue to see the music available to borrow, you need to login or register
{% endblock %}


If you are a videogamer you already know that the more you play, generally the better you get, two of the most common gaming phrases deal with this concept. The phrase noob which means that you are visibly new to a game and ‘scrub’ which means you may have spent some time on a game, but you're still pretty bad. This culture inspired by obvious progression makes itt painstakingly obvious when someone has spent more time. Famous examples being Silver or Good portraits in overwatch, or the john wick skin in fortnite.
In esports every little thing matters, mouse pads, mice, mouse sixe, computer specs, headsets, chairs, and etc. One of those things is practice but when you get paid to play and practice something you also play for fun, you get into a vicious cycle of goofing off, having fun, and actually putting the effort in, also known as try-harding. Players gain so much from each second of playing and training that to stop is to surrender a possible edge you could have on the competition.
As of now most teams don’t limit playtime of games, mandate certain menus, or offer avenues of exercise so it’s left up to players to dictate their own schedule. The thing that stops players for opting for health is the very nature of gaming, Esports is typically feast or famine and since non-league players have to pay entry fees just to compete, and are typically only paid through lasting until semifinals,you won't be able to convince them when it’s not the norm. This leaves it up to the those that own the competition to put standards of practicing to preserve players.


website của tôi nhé
T L N G
Project Things is graduating from its early experimental phase and from now on will be known as Mozilla WebThings. This platform for monitoring and controlling devices over the web consists of the WebThings Gateway, a software distribution for smart home gateways focused on privacy, security and interoperability, and the WebThings ..
Pyodide is an experimental project from Mozilla to create a full Python data science stack that runs entirely in the browser. We think it’s worthwhile to work on moving the JavaScript data science ecosystem forward, and that's why we built and released Iodide earlier this year. In the meantime, we’re ...
Pyodide is an experimental project from Mozilla to create a full Python data science stack that runs entirely in the browser. We think it’s worthwhile to work on moving the JavaScript data science ecosystem forward, and that's why we built and released Iodide earlier this year. In the meantime, we’re ...
Pyodide is an experimental project from Mozilla to create a full Python data science stack that runs entirely in the browser. We think it’s worthwhile to work on moving the JavaScript data science ecosystem forward, and that's why we built and released Iodide earlier this year. In the meantime, we’re ...


In order to keep our brains from being overloaded, we take periodic breaks as a group. During these breaks we play group games that are designed to help us get to know each other and have fun.
Our breaks take anywhere from 15-30 minutes.


Deprecated - Use a third-party URL library. More...
#include <url.hpp>
Public Member Functions | |
| url (const std::string &url_str) | |
Parse url_str as an AMQP URL. More... | |
| url (const url &) | |
| Copy a URL. | |
| url & | operator= (const url &) |
| Copy a URL. | |
| bool | empty () const |
| True if the URL is empty. | |
| operator std::string () const | |
| Returns the URL as a string. | |
URL fields | |
| std::string | scheme () const |
amqp or amqps . | |
| std::string | user () const |
| The user name for authentication. | |
| std::string | password () const |
| The password. | |
| std::string | host () const |
| The host name or IP address. | |
| std::string | port () const |
port can be a number or a symbolic name such as "amqp". | |
| uint16_t | port_int () const |
port_int is the numeric value of the port. | |
| std::string | host_port () const |
host_port returns just the host:port part of the URL | |
| std::string | path () const |
path is everything after the final "/". | |
Static Public Attributes | |
| static const std::string | AMQP |
| "amqp" prefix | |
| static const std::string | AMQPS |
| "amqps" prefix | |
Friends | |
| std::string | to_string (const url &) |
| Return URL as a string. | |
Deprecated - Use a third-party URL library.
A URL parser.
Proton URLs take the form <scheme>://<username>:<password>@<host>:<port>/<path>
.
amqp
or amqps
. Host is a DNS name or IP address (v4 or v6).amqp
.| url | ( | const std::string & | url_str | ) |
Parse url_str
as an AMQP URL.
| url_error | if URL is invalid. |


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 6
A warming and aromatic Vietnamese broth with tender pieces of sirloin steak. Perfect for a cold winter’s night.
Preheat the grill to the medium-high setting.
Place a frying pan over a high heat. When hot, add the star anise, cloves and coriander seeds and toast until aromatic. Transfer to a plate and set aside.
Put the onion and ginger on a grill pan and place under the grill, turning from time to time, until soft and slightly caramelised, but lightly charred on all sides. Leave to cool a little, then peel the onion and ginger and discard the skins.
Put the onion, ginger and toasted spices into a large, lidded pot. Add the stock and bone marrow and bring to a steady simmer. Cover, lower the heat a little and simmer for 30 minutes to allow the flavours to develop and infuse the broth. Add the fish sauce for the last 10 minutes of the cooking time.
Strain the broth through a sieve into a clean saucepan and return to the boil.
Meanwhile, cook the noodles according to the packet instructions, drain and refresh under cold running water to stop the cooking process.
Put the noodles in deep bowls and top with the sirloin. Ladle the hot broth over the top. Add the beansprouts, spring onions, chilli, herbs and a wedge of lime at the table.


Chapter 7 Solutions
Contributed by Felipe Grimaldi Avileis and Matt Nolan 2017
7.1. George’s Utility = \(ln(x)\)
Starting wealth = 1000000
If he wins he gets 1,000 , if he loses 1,000 .
Therefore:
\(ln(1000000) = \pi(bullswin) * ln(1100000) + (1-\pi(bullswin))*ln(900000)\)
\(ln(1000000)= ln(900000) + \pi(bullswin)*(ln(1100000)-ln(900000))\)
\(\pi(bullswin) = (ln(1000000) - ln(900000))/ (ln(1100000) - ln(900000))\)
Computing we get that \(\pi(bullswin) = .525042\) or 52.5%, meaning that George believes the bulls have, at least, a 52.5% chance of winning the NBA finals.
7.5. Ms. Fogg’s Utility = \(ln(Y)\)
- Prob of losing 1,000 = 25% or .25
Therefore
\(E[U(Y)] = .25*ln(9,000) + .75*ln(10,000)\)
\(E[U(Y)] = 9.184\)
- In order to prove to her that her utility would be greater after she purchase’s the insurance, all we need is to compare the utility’s with and without insurance.
From a) we know that \(E[U(Y)] = 9.184\)
So we calculate U(Y) with the fair actuarial rate of $250.
\(U(Y) = ln(10000-250) = 9.185\)
As \(U(Y)> E[U(Y)]\) we can prove to her that it is better to buy insurance at this rate.
- Max insurance, form definition, is the difference between Initial Wealth and CE. As shown below:
If we know Initial Wealth is 10,000, we only need to find CE.
\(U(CE) = E[U(gamble)]\)
\(ln(CE) = 9.184\) (from a)
\(CE = 9,740.04\)
Using Initial Wealth - CE = max premium, we get
\(Max Prem = 10,000 - 9,740.04\)
\(Max Prem = 259.97\)
7.7
A farmer believes there is a 50–50 chance that the next growing season will be abnormally rainy. His expected utility function has the form
expected value = \(\frac{1}{2}\ln\Upsilon_{NR} + \frac{1}{2}\ln\Upsilon_{R}\)
where \(\Upsilon_{NR}\) and \(\Upsilon_{NR}\) represent the farmer’s income in the states of “normal rain” and “rainy,” respectively.
- Suppose the farmer must choose between two crops that promise the following income prospects:
| Crop | \(\Upsilon_{NR}\) | \(\Upsilon_{R}\) |
|---|---|---|
| Wheat | 28,000 | 10,000 |
| Corn | 19,000 | 15,000 |
Which of the crops will he plant?
\(EV(Wheat) = \frac{1}{2}28,000 + \frac{1}{2}10,000 = 19,000\) \(EV(Corn) = \frac{1}{2}19,000 + \frac{1}{2}15,000 = 17,000\)
\(EU(Wheat) = \frac{1}{2}\ln28,000 + \frac{1}{2}\ln10,000 = 9.725\) \(EU(Corn) = \frac{1}{2}\ln19,000 + \frac{1}{2}\ln15,000 = 9.734\)
Here, the farmer produces both corn and wheat even though the expected value for wheat exceeds the expected value for corn. This is because the farmer’s utility of wealth is concave. In other words, this individual is risk averse and chooses to plant at least some corn because corn profits less susceptible to the risks posed by abnormally high levels of rain.
- Suppose the farmer can plant half his field with each crop. Would he choose to do so? Explain your result.
\(EU(\frac{1}{2}Wheat,\frac{1}{2}Corn) = \frac{1}{2}\ln19000 + \frac{1}{2}\ln17,000 = 9.74912\)
Because the farmer’s expected utility for planting half of his field with wheat and half of his field with corn exceeds the expected utility of planting any one crop exclusively, he may consider this strategy as an option. However as we see in in the next step, the farmer maximizes his expected utility by planting these crops in a more optimal proportion.
- What mix of wheat and corn would provide maximum expected utility to this farmer?
Then, to find optimal proportion, we take the partial derivative with respect to \(\alpha\).
\[\frac{\partial EU}{\partial \alpha}= \frac{1}{2}\frac{9,000}{19,000 + 9,000\alpha}+\frac{1}{2}\frac{-5,000}{15,000 - 5,000\alpha}=0\]
Solving the first order condition, we find \(\alpha = .4\overline{4}\) and \((1-\alpha) = .5\overline{5}\).
In these proportions, the farmer’s expected utility is:
\[\begin{align*} EU &= \frac{1}{2}\ln[(.4\overline{4})28,000 + (.5\overline{5})19,000]+\frac{1}{2}\ln[(.4\overline{4})10,000 + (.5\overline{5})15,000] \\ EU &= 9.74935 \end{align*}\]So, if the farmer wishes to optimize his expected utilility he should devote approximately 44% of his field to wheat production and 56% to corn production.
- Would wheat crop insurance—which is available to farmers who grow only wheat and which costs 4,000 and pays off 8,000 in the event of a rainy growing season—cause this farmer to change what he plants?
\[EU(Wheat+Insurance) = \frac{1}{2}\ln(28,000-4000) + \frac{1}{2}\ln(10,000-4,000+8,000)\]
\[EU(Wheat+Insurance) = 9.8163\]
In this scenario, the farmer is better off if he purchases the insurance and only grows wheat.


Actions & Scenarios
The Fogify’s model abstractions enable the rapid prototyping of emulated Fog deployments.
However, Fog deployments are usually neither statically provisioned nor stable.
This instability highly impacts the execution of IoT services, especially in uncontrollable domains.
Fogify addresses this challenge by providing runtime Actions
& Scenarios
.
Action
is a process that changes properties of a running Fog Topology while
Scenario
allows the repeatable execution of a series of Actions
written in a yaml format.
Actions
The user can execute various actions at runtime that can alter the underlying infrastructure.
To achieve that a user can execute POST
call to <manager>:5000/action/<action_type>
or can utilize the FogifySDK.
For action_type
, we have various types, namely: horizontal_scaling
, vertical_scaling
, network
, command
and stress
.
Users can determine either a blueprint
label
and the number
of instances that the action would like to affect or
the label along with the number of a specific node, e.g. supervisor.5
.
Horizontal Scaling
For horizontal scaling actions, we have to select the instance type (label
),
the number of instances and the action that will be applied (up
or down
)
{
"params":{
"instance_type" : "supervisor-1",
"instances": 2,
"type":"up"
}
}
Vertical Scaling
For vertical scaling actions, we have to select the instance type (label
), and the action that will be applied.
For CPU
power, user can define a cpu percent of increase (+<percent>
) or decrease (-<percent>
).
For memory
, one defines the new memory limit. We can not define both cpu and memory vertical scaling at once.
{
"params":{
"instance_type" : "supervisor-1.1",
"cpu":"+20",
"memory": "3G"
}
}
Network
This action updates the network connectivity of a node. Again, the user selects the instance type (label
)
and the action object that contains various network parameter like delay
, bandwidth
, drop
etc. Furthermore, a user
selects a specific network. At the following example, we apply our action to the supervisor-1
to the internet
network connection.
{ "params":{
"instance_type" : "supervisor-1",
"instances": 1,
"action":{
"uplink":{
"latency":{"delay":"100ms"},
"bandwidth": "100Mbps",
"drop": 0.0001},
"downlink":{
"latency":{"delay":"100ms"},
"bandwidth": "100Mbps",
"drop": 0.0001},
"network":"internet"}}
}
Stress
Fogify can inject extra workload to specific node(s) in order to simulate the interferences of colocated service
on a node. For instance, with the following json object, Fogify will inject a 50% cpu-intensive workload for 300s to one instance
of the node supervisor-1
.
{
"params":{
"instance_type" : "supervisor-1",
"instances": 1,
"action":{
"cpu":50,
"duration": "300s"
}
}
}
Command
Fogify can inject terminal command to specific node(s). The latter helps users to execute even user-defined actions on running fog nodes.
For instance, with the following json object, Fogify will inject a submission command on nimbus
node.
{
"params":{
"instance_type" : "nimbus",
"instances": 1,
"action":{
"command": "/bin/storm jar test.jar test-topology"
}
}
}
Scenarios
With the Scenarios, a user will be able to define predefined series of actions at specific time.
For instance, at the scenario_1
the first action will be executed at 5th minute from the started point of the experiment.
scenarios:
- name: scenario_1
actions:
- time: 30
position: 0
instance_type: supervisor-1
instances: 1
action:
type: network
parameters:
network: edge-net-1
bidirectional:
bandwidth: 100Mbps
drop: 0.1%
latency:
delay: 1000ms
- time: ....


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<LineNumber>Part I Line 5a</LineNumber> |
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<LineNumber>Part I Line 5b</LineNumber> |
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<LineNumber>Part I Line 6</LineNumber> |
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<LineNumber>Part I Line 7a</LineNumber> |
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<LineNumber>Part I, Line 7b</LineNumber> | NEW line(s): 175
<LineNumber>Part I Line 7b</LineNumber> |
| OLD line(s): 187,197
</xsd:sequence> </xsd:complexType> </xsd:element> <xsd:element name="Form990ScheduleNPartII" minOccurs="0"> <xsd:annotation> <xsd:documentation>Part II contents</xsd:documentation> </xsd:annotation> <xsd:complexType> <xsd:sequence> | NEW line(s): 179
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<LineNumber>Part II Line 1</LineNumber> |
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<xsd:element name="DirectorOfSuccessor2" type="BooleanType" minOccurs="0"> |
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<LineNumber>Part II, Line 2a</LineNumber> | NEW line(s): 196
<LineNumber>Part II Line 2a</LineNumber> |
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<xsd:element name="EmployeeOfSuccessor" type="BooleanType" minOccurs="0"> | NEW line(s): 202
<xsd:element name="EmployeeOfSuccessor2" type="BooleanType" minOccurs="0"> |
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<LineNumber>Part II, Line 2b</LineNumber> | NEW line(s): 206
<LineNumber>Part II Line 2b</LineNumber> |
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<xsd:element name="OwnerOfSuccessor" type="BooleanType" minOccurs="0"> | NEW line(s): 212
<xsd:element name="OwnerOfSuccessor2" type="BooleanType" minOccurs="0"> |
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<LineNumber>Part II, Line 2c</LineNumber> | NEW line(s): 216
<LineNumber>Part II Line 2c</LineNumber> |
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<xsd:element name="ReceiveCompensation" type="BooleanType" minOccurs="0"> | NEW line(s): 222
<xsd:element name="ReceiveCompensation2" type="BooleanType" minOccurs="0"> |
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<LineNumber>Part II, Line 2d</LineNumber> | NEW line(s): 226
<LineNumber>Part II Line 2d</LineNumber> |
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</xsd:sequence> </xsd:complexType> </xsd:element> <xsd:element name="Form990ScheduleNPartIII" minOccurs="0"> <xsd:annotation> <xsd:documentation>Part III contents</xsd:documentation> </xsd:annotation> <xsd:complexType> <xsd:sequence> | NEW line(s): 230
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<xsd:choice> <xsd:element name="NamePerson" type="PersonNameType" minOccurs ="0"> | NEW line(s): 302,303
<xsd:choice minOccurs ="0"> <xsd:element name="NamePerson" type="PersonNameType"> |
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<xsd:element name="NameBusiness" type="BusinessNameType" minOccurs ="0"> | NEW line(s): 312
<xsd:element name="NameBusiness" type="BusinessNameType"> |
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<xsd:choice> <xsd:element name="AddressUS" type="USAddressType" minOccurs ="0"> | NEW line(s): 323,324
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<xsd:element name="AddressForeign" type="ForeignAddressType" minOccurs ="0"> | NEW line(s): 333
<xsd:element name="AddressForeign" type="ForeignAddressType"> |


Add a custom build rule to the generated build system.
There are two main signatures for add_custom_command The first signature is for adding a custom command to produce an output.
add_custom_command(OUTPUT output1 [output2 ...]
COMMAND command1 [ARGS] [args1...]
[COMMAND command2 [ARGS] [args2...] ...]
[MAIN_DEPENDENCY depend]
[DEPENDS [depends...]]
[IMPLICIT_DEPENDS <lang1> depend1
[<lang2> depend2] ...]
[WORKING_DIRECTORY dir]
[COMMENT comment] [VERBATIM] [APPEND])
This defines a command to generate specified OUTPUT file(s). A target created in the same directory (CMakeLists.txt file) that specifies any output of the custom command as a source file is given a rule to generate the file using the command at build time. Do not list the output in more than one independent target that may build in parallel or the two instances of the rule may conflict (instead use add_custom_target to drive the command and make the other targets depend on that one). If an output name is a relative path it will be interpreted relative to the build tree directory corresponding to the current source directory. Note that MAIN_DEPENDENCY is completely optional and is used as a suggestion to visual studio about where to hang the custom command. In makefile terms this creates a new target in the following form:
OUTPUT: MAIN_DEPENDENCY DEPENDS
COMMAND
If more than one command is specified they will be executed in order. The optional ARGS argument is for backward compatibility and will be ignored.
The second signature adds a custom command to a target such as a library or executable. This is useful for performing an operation before or after building the target. The command becomes part of the target and will only execute when the target itself is built. If the target is already built, the command will not execute.
add_custom_command(TARGET target
PRE_BUILD | PRE_LINK | POST_BUILD
COMMAND command1 [ARGS] [args1...]
[COMMAND command2 [ARGS] [args2...] ...]
[WORKING_DIRECTORY dir]
[COMMENT comment] [VERBATIM])
This defines a new command that will be associated with building the specified target. When the command will happen is determined by which of the following is specified:
PRE_BUILD - run before all other dependencies
PRE_LINK - run after other dependencies
POST_BUILD - run after the target has been built
Note that the PRE_BUILD option is only supported on Visual Studio 7 or later. For all other generators PRE_BUILD will be treated as PRE_LINK.
If WORKING_DIRECTORY is specified the command will be executed in the directory given. If it is a relative path it will be interpreted relative to the build tree directory corresponding to the current source directory. If COMMENT is set, the value will be displayed as a message before the commands are executed at build time. If APPEND is specified the COMMAND and DEPENDS option values are appended to the custom command for the first output specified. There must have already been a previous call to this command with the same output. The COMMENT, WORKING_DIRECTORY, and MAIN_DEPENDENCY options are currently ignored when APPEND is given, but may be used in the future.
If VERBATIM is given then all arguments to the commands will be escaped properly for the build tool so that the invoked command receives each argument unchanged. Note that one level of escapes is still used by the CMake language processor before add_custom_command even sees the arguments. Use of VERBATIM is recommended as it enables correct behavior. When VERBATIM is not given the behavior is platform specific because there is no protection of tool-specific special characters.
If the output of the custom command is not actually created as a file on disk it should be marked as SYMBOLIC with SET_SOURCE_FILES_PROPERTIES.
The IMPLICIT_DEPENDS option requests scanning of implicit dependencies of an input file. The language given specifies the programming language whose corresponding dependency scanner should be used. Currently only C and CXX language scanners are supported. The language has to be specified for every file in the IMPLICIT_DEPENDS list. Dependencies discovered from the scanning are added to those of the custom command at build time. Note that the IMPLICIT_DEPENDS option is currently supported only for Makefile generators and will be ignored by other generators.
If COMMAND specifies an executable target (created by ADD_EXECUTABLE) it will automatically be replaced by the location of the executable created at build time. Additionally a target-level dependency will be added so that the executable target will be built before any target using this custom command. However this does NOT add a file-level dependency that would cause the custom command to re-run whenever the executable is recompiled.
Arguments to COMMAND may use “generator expressions” with the syntax $<...>. See the cmake-generator-expressions(7) manual for available expressions.
Note that tgt is not added as a dependency of the target this expression is evaluated on.
$<TARGET_POLICY:pol> = '1' if the policy was NEW when the 'head' target was created, else '0'. If the policy was not set, the warning message for the policy will be emitted. This generator expression only works for a subset of policies.
$<INSTALL_PREFIX> = Content of the install prefix when the target is exported via INSTALL(EXPORT) and empty otherwise.
Boolean expressions:
$<AND:?[,?]...> = '1' if all '?' are '1', else '0'
$<OR:?[,?]...> = '0' if all '?' are '0', else '1'
$<NOT:?> = '0' if '?' is '1', else '1'
where ‘?’ is always either ‘0’ or ‘1’.
Expressions with an implicit ‘this’ target:
$<TARGET_PROPERTY:prop> = The value of the property prop on the target on which the generator expression is evaluated.
References to target names in generator expressions imply target-level dependencies, but NOT file-level dependencies. List target names with the DEPENDS option to add file dependencies.
The DEPENDS option specifies files on which the command depends. If any dependency is an OUTPUT of another custom command in the same directory (CMakeLists.txt file) CMake automatically brings the other custom command into the target in which this command is built. If DEPENDS is not specified the command will run whenever the OUTPUT is missing; if the command does not actually create the OUTPUT then the rule will always run. If DEPENDS specifies any target (created by an ADD_* command) a target-level dependency is created to make sure the target is built before any target using this custom command. Additionally, if the target is an executable or library a file-level dependency is created to cause the custom command to re-run whenever the target is recompiled.


Send a new email using a form. No JS involved
Send a new email using a form. In this form, we are passing our own submit handler
This is not a form. We are getting all input values from JS


August 20, 2014 Sailing and cycling along the Greek islands is the way to experience Greece read more >>


Under the obscured moonlight,
Clouded vision,nothing in sight.
Left only with traces of remembrance,
While my ears ring with the eutony of her name.
Consumed by the fires of passion,
Left burned and bruised,
Too cliched ,just following fashion.
Yet she seemed all too amused.
Plethora of words,covering acts of deceit.
Fear flowed through her veins exposing her might.
Stooped down to save it all from its decrepit remains,
while Only shallow words throbbed out from her realms.
She sought to redeem herself,
Only to satisy her cynical conscience.
As on the next day I was none but a shadow of my former self,
A shadow filling her mind with fake luminescence.
So she set out on her halcyon days,
While I hold onto past memories.
For memories are meant to be cherished,
As she is now ,from my world, will remain banished.


Temporary Pokémon Center returning to London
Update: Pokémon pop-up store to return to London for Pokémon World Championships in 2020
by James BatchelorUpdate: The pop-up Pokémon store will return to London for the Pokémon World Championships next year.
According to The Pokémon Company, more than 30,000 people visited the pop-up store at the Westfield Shopping Centre during the four weeks it was open. It was open throughout October, to coincide with the launch of Pokémon Sword and Shield.
While the specific venue for the Pokémon World Championships has yet to be confirmed, The Pokémon Company said that the store would be onsite for the event.
Original story -- August 5, 2019: The Pokémon Company has announced a new Pokémon shop will be opened in London, although only for a limited time.
A temporary store will be built at the city's Westfield Shopping Centre (Shepherd's Bush, not Stratford) this coming October in anticipation of the series' Switch debut.
London's Pokémon Center is currently scheduled to open doors on October 18 and operate all the way until Sword and Shield's launch on November 15.
The company has noted "Dates may be subject to change," suggesting it may open later than planned, or could be extended beyond the Sword and Shield launch.
Since the Switch games won't be available until November, the store will stock a wide variety of Pokémon merchandise, including products exclusive to the London branch (perhaps drawing on the British Pikachu seen in artwork released alongside the announcement -- see below).
Further details on dates, opening times and stock will be announced closer to the store's opening.
The choice of London is no accident. Pokémon Sword and Shield are both set in the new Galar region, which developer Game Freak has said is modelled on the United Kingdom.
Additional reporting by Matthew Handrahan.


Unique idntifier of your River
Displayable name of your River
The ES index to store your documents
The ES type representing your documents
Name of you S3 bucket
Path of your bucket to index
Update each {{ river.update_rate/1000 }} seconds
Index into ES every {{ river.bulk_size }} documents
Patterns to include in index (separated by ,)
Patterns to exclude from index (separated by ,)
Your AWS access key as found on Amazon console
Your AWS secret key as found on Amazon console


Text Annotation Platform¶
Introduction¶
Text annotation is performed to convert raw text data to its structured form. The annotation platform is called Cheyyali.
The platform allows users to label data and provides annotation features for sequence labeling, text classification and sequence-to-sequence tasks. The platform is built specifically for teams to work collaboratively, by having different workflows and moderation layers.
The platform has an optimised interface, by providing –
Keyboard Shortcuts
Full Unicode Support
Support for Subword and phrase annotations
Label Stats and User Stats
Cheyyali is currently been used to annotate entities and relations in indian court judgements as part of a collaboration with HAQ.
Methodology¶
This section explains the setup and process.
Setup¶
Cheyyali is a fork of Doccano. Installation and running guide is provided here.
This is hosted in https://cheyyali.samantar.in
Process¶
The document uploaded to Cheyyali is first converted to its machine readable form. This is followed by preprocessing and then converted to the format that Cheyyali supports. The output - annotated text is in the JSON format
.
lglint¶
This is a python package that has the scripts to perform the above process. The installation and running guide is provided here.
Plugging in an example pipeline:
pipeline \
.add(GetCNRFromPdf(data_dir=all_judgements_pdf_directory,
file_format="pdf",
cnr_pattern=r".* - (.*)\.pdf")) \
.add(LoadMetaData(base_data_dir=settings.base_data_dir,
metadata=settings.combined_metadata_file)) \
.add(FilterMetaDataByCNR(cnr_list=[])) \
.add(Pdf2Txt(all_judgements_pdf_directory, all_judgements_txt_directory)) \
.add(AddTitleGeoCNRToFirstLine(input_dir=all_judgements_txt_directory,
pattern=r'.* - (.*)\.txt',
use_cnr=True)) \
.add(ConvertToCheyyaliFormat(input_dir=all_judgements_txt_directory,
out_file=settings.final_cheyyali_judgements,
pattern=r'.* - (.*)\.txt',
use_cnr=True))
pipeline.execute()
From the above example, GetCNRFromPdf
, LoadMetaData
, FilterMetaDataByCNR
are preprocessing functions. Once the preprocessing is done, the PDF is converted to a text file using Pdf2Txt
and some post-processing has been performed on the machine readable file using AddTitleGeoCNRToFirstLine
. The then data is transformed into cheyyali’s format using ConvertToCheyyaliFormat
function.
Similar to the above example, custom pipelines can be made with custom independent functions. This modularity in the workflow makes lglint scalable.
If you are facing any difficulty, please raise an issue at https://github.com/CivicDataLab/lglint/issues
Platform Usage¶
Once you login to the platform using the above link, you can see the list of projects that you are part of and can also create projects of your own.
Cheyyali has moderation layers, namely - the project admin, the annotator and the annotation approver. Project admin is the creator of the project; they can create teams, invite people to the team, annotate and also approve the annotations. The annotator can only annotate the free text. The annotation approver is the person who approves the annotations.
The annotated text becomes valid only when it’s approved by the annotation approver.
When the user gets inside a project, they can see or create the required entities/tags. Each entity can also be assigned a keyboard shortcut key (hotkeys).
Drag along the words(or subwords or group of words) and assign tags by either selecting from the given tags or by the hotkeys.
The User and Label stats can be viewed in the
Statistics
section.
One can write Annotation Guidelines for each of the project. This helps other collaborators to get along with the prescribed standard.
Summary¶
Cheyyali is a text annotation platform that can be used for Sequence Labeling, Sequence-to-Sequence and Text Classification tasks. This means to say that while preparing datasets for Entity Recognition, Machine Translation, and so on. Cheyyali is optimised for teams to collaboratively annotate the free text. It is completly open-source under the MIT license. It is currently being used to annotate entities and relations in Indian Court judgements, and has pre-built pattern recognition for certain entities.
The future is to automate the entity recognition process by introducing a Machine learning model (Named Entity Recogniser, NER) in the workflow, and reduce the time and efforts of the annotator.
Please feel free to write us at<EMAIL_ADDRESS>, if you have any questions or concerns, we are happy to help!


{% extends 'pages/pagesbasic.html' %} {% block content %}
The SF Bay Area Association of Renters is for people who believe that San Francisco’s affordable housing crisis can be mitigated by increasing the supply of housing at all price levels.
We support the construction of high density housing in all San Francisco neighborhoods. San Francisco is a successful, growing city. We are proud that people from all over the world want to live here. To ensure that the current residents can continue to afford to live in San Francisco, and aren’t “pushed out,” it is necessary to build as many new housing units as possible.
SF BAAR writes letters to planners and elected officials. You peruse the list of open letters, and sign the letters supporting the projects you like. Then SFBAAR sends the letter to the appropriate planner.
SFBAAR also compiles a list of upcoming hearings and meetings. You peruse the list of hearings, and meet other renters at the meetings. We attend neighborhood meetings and variance hearings, to demonstrate support for new, dense residential construction in all SF neighborhoods.
These methods may seem milquetoast, even pointless. However, Neighborhood groups do stop development. The only people that go to the meetings are either opposed to the project, or employees of the developer. Renters, who would benefit from incresed supply, aren't represented. SFBAAR wants to organize renters just enough so that 5 - 8 renters can show up at the relevant meetings, introduce ourselves to the officials, and let them know that there are residents that want new building. Then after that we can go get drinks or something in the neighborhood.
Letters may seem to have very little effect, but guess what has actual Zero effect: liking an article about the high price of housing on Facebook, or complaining about high rent at a bar. I promise, dear Reader, you have done both of these things. Their lack of effect didn't stop you, so don't let the apparently slight effect of signing a letter stop you now. Sign an Open Letter now.
Go to Open Letters to sign the current letters.
We will email you when it is time to sign a letter or go to a meeting.
or
Go directly to our message board and sign yourself up: https://groups.google.com/forum/#!forum/sfbarentersfed


ReaDDy
Reaction Diffusion Dynamics
Welcome to the website of ReaDDy - a particle-based reaction-diffusion simulator, written in C++ with python bindings. ReaDDy is an open-source project, developed and maintained by Moritz Hoffmann, Christoph Fröhner and Frank Noé of the AI4Science (former CMB) group at the Freie Universität Berlin. This project continues the java software of the same name, by Johannes Schöneberg and Frank Noé.
- ReaDDy v2.0.2 is released for Linux and Mac! See the installation guide.
- Note our paper on ReaDDy 2
What is ReaDDy?
The logo simulation mimicks a predator prey system, i.e., a population growth process that frequently occurs in biology. Sometimes, this growth process is subjected to spatial constraints. There are three different particle types, referring to that biological model:
- Type 1, the red “logo particles“, serve as the spatial barriers. They have been given an attraction potential between them and start in a position that resembles the ReaDDy logo.
- Type 2, the purple “prey“. If there are no predators around, they will replicate.
- Type 3, the grey “predator” particles. They die out if there is no prey but replicate in their presence by consuming them.
It is visible during the time course of the simulation, that the spatial distribution of the particles, their crowding inducing occurrence in masses as well as spatial constraints like barriers influence the growth of the populations dramatically. What is true for this simplified example is ubiquitous not only in molecular and cellular biology but in multiple other fields.
ReaDDy has been designed to fit the modeling requirements of such processes: Particle (or agent) based reaction diffusion systems in which particle-particle interactions play an important role and where the systems are subjected to crowding or spatial constraints.
Get started
import readdy
# ----- Step 1: Set up reaction diffusion system
system = readdy.ReactionDiffusionSystem(box_size=(10, 10, 10))
system.add_species("A", diffusion_constant=2.0)
system.reactions.add("mydecay: A ->", rate=1.)
system.reactions.add("myfission: A -> A +(1) A", rate=3.)
# ----- Step 2: Create simulation instance out of configured system
simulation = system.simulation(kernel="CPU")
simulation.observe.number_of_particles(stride=5)
simulation.output_file = "out.h5"
simulation.add_particle("A", [0.,0.,0.])
# ------ Step 3: run the simulation
simulation.run(100, 0.01)
The above snippet performs a ReaDDy simulation, which consists of three steps:
See this ipython notebook for an example of the basic features
Citation
When using ReaDDy in your work, please cite the following paper
@article{hoffmann2019readdy,
title={ReaDDy 2: Fast and flexible software framework for interacting-particle reaction dynamics},
author={Hoffmann, Moritz and Fr{\"o}hner, Christoph and No{\'e}, Frank},
journal={PLoS computational biology},
volume={15},
number={2},
pages={e1006830},
year={2019},
publisher={Public Library of Science}
}
Also note these further publications related to ReaDDy:
- Schöneberg, Johannes, et al. Lipid-mediated PX-BAR domain recruitment couples local membrane constriction to endocytic vesicle fission. Nature communications 8 (2017): 15873.
- Schöneberg, Johannes, and Frank Noé. ReaDDy-a software for particle-based reaction-diffusion dynamics in crowded cellular environments. PloS one 8.9 (2013): e74261.
- Dibak, Manuel, et al. Diffusion-influenced reaction rates in the presence of pair interactions. The Journal of chemical physics 151.16 (2019): 164105.
- Fröhner, Christoph, and Frank Noé. Reversible interacting-particle reaction dynamics. The Journal of Physical Chemistry B 122.49 (2018): 11240-11250.
- Ullrich, Alexander, et al. Dynamical organization of syntaxin-1A at the presynaptic active zone. PLoS computational biology 11.9 (2015): e1004407.
- Gunkel, Monika, et al. Higher-order architecture of rhodopsin in intact photoreceptors and its implication for phototransduction kinetics. Structure 23.4 (2015): 628-638.
- Biedermann, Johann, et al. ReaDDyMM: Fast interacting particle reaction-diffusion simulations using graphical processing units. Biophysical journal 108.3 (2015): 457-461.
- Schöneberg, Johannes, et al. Explicit spatiotemporal simulation of receptor-G protein coupling in rod cell disk membranes. Biophysical journal 107.5 (2014): 1042-1053.
- Schöneberg, Johannes, Alexander Ullrich, and Frank Noé. Simulation tools for particle-based reaction-diffusion dynamics in continuous space. BMC biophysics 7.1 (2014): 11.


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The Lessons I’ve Learned From My CEOs
The Lessons I’ve Learned From My CEOs
In this weekly series, I opine on how words affect the way we understand the products and services around us. I do this for your entertainment and education (and, of course, to remind you that if you’re looking for a freelance copy, content, product, or technical writer… yada yada, hire me.
Last week, I participated in a rare and personal interview of sorts with my good friend and well-respected teacher Allen Lee.
As a way for him to connect to those he’s distant from while continuing to learn, Allen began hosting a weekly talk show. A humble and curious guy, Allen is always interesting to talk to and eternally grateful for what he’s able to learn from others.
We had a great chat about tech and leadership, but in its wake, I felt acutely aware that I haven’t been as grateful to those who I’ve learned from as Allen was to me.
So much of my perspective and professional success can be traced back to the wisdom shared with me by the people I’ve been lucky enough to work for over the last ten years.
Ergo, with this week’s post, I thought I’d do something a little different. I’d like to share the single most important lesson I’ve learned from each of the CEOs I’ve worked for in the past as a way of expressing my gratitude for their contribution to my career.
Yes, this is off-brand and potentially a bit corny. However, this momentary respite from my usual writing is my honest attempt to be grateful, which isn’t my strongest suit — so please bear with me.
Lesson #1: Know and own your niche.
Ken Fisher, Editor-In-Chief at Ars Technica
Nearly as old as the commercial internet itself, Ars Technica is a tech news institution. Its success can be attributed entirely to the contributions of its incredible staff and the vision of its editor-in-chief Ken Fisher, who, alongside co-founder Jon Stokes, built a resilient media business which flourished as its aging competitors faltered.
From Ken, I learned that great companies know, and own, their niche.
Thanks to its coverage of topics like tech law & politics, as well as its incredible long-form content, Ars provided its niche enthusiast audience with content they would pay to pore over for days rather than pandering to a mainstream readership who would freely gloss it over in seconds.
Ars prioritized long-form value over ads, and, in doing so, paved the way for modern web media — a strategy that contributed to the company’s acquisition by Wired parent Condé Nast in 2008.
Lesson #2: Let your team take you way outside your comfort zone.
Howard Ganz, President and CEO of Ganz Studios
Few people know the Ganz family dynasty or its reclusive owner Howard. Yet, there are millions of kids around the world for whom the company’s products will forever have a place in their hearts.
As a family business owner, Howard had to balance being true to the traditions the business was built upon while forgoing those traditions to “innovate or die”.
Seeing the rise of the internet and aware that his company may be in peril if it couldn’t adapt to the trends, Howard entrusted a young group of digital dreamers to transform his physical product company into a video game company.
So was born Webkinz, one of the biggest success stories in the history of kids’ toys and a game property still generating ample revenue more than 10 years later.
From Howard, I learned that great leaders must let their people go outside their comfort zone in order to succeed — and given that Webkinz was, at its peak, earning $100M in ARR before “ARR” was a common metric is proof positive that discomfort can pay off for founders.
Lesson #3: If your employees love your company, so too will your customers.
Razor Suleman, CEO of Elevate (formerly CEO of Achievers)
Among the most inspiring leaders I’ve worked for is Razor Sulemen, whose small employee rewards company I Love Rewards became the successful, large employee recognition company Achievers.
Achievers was widely known for its incredible company culture, and that culture is almost entirely attributable to the way that Razor prioritized making employees happy.
Few leaders out there are bold enough to host a company roast of the senior leadership let alone insist that, even at 300 people, the entire company meet every single day for 9 minutes to share wins, mourn losses, and celebrate progress towards a well-articulated vision.
From Razor, I learned that if your people love what they do and who they do it with on a daily basis, they will make your customers love your company — and that strategy is why Achievers counts great companies like KPMG, PwC, Samsung, Rogers, BP, and Microsoft among its many customers and raving fans.
Lesson #4: Be persistent in solving a hard problem.
Gemini Waghmare, CEO at UXP Systems
Telecom companies are notoriously siloed, slow-moving, and stubborn. The idea of creating a company to disrupt that, then, could be easily construed as lunacy.
Yet, that’s precisely what UXP Systems’ CEO Gemini Waghmare did. Seeing the emerging trend of personalization and device-agnosticism coming, Gemini knew that operators wouldn’t be able to evolve their infrastructure fast enough to catch the likes of Netflix.
From Gemini, I learned that persistence can pay huge dividends if you believe in yourself and the problem you’re solving.
Despite an extremely long sales cycle and an incredible set of hurdles technical, legal, and logistical, Gemini’s user lifecycle management platform has found success — so much so that it was recently acquired by Amdocs.
Lesson #5: It takes more than tech to build a great tech company.
Alex Salazar, VP Product at Okta (former CEO of Stormpath)
Perhaps the most humble and human C-level executive I’ve ever had the privilege to work with, former CEO of Stormpath Alex Salazar pairs a strong business sense and product acumen with ample EQ and charisma.
From Alex, I learned that you need more than tech to build a truly successful tech company.
He hammered home in me the understanding that customers care much more about the problems your product can solve than the elegant design or ingenious implementation of your solution.
This was a lesson he learned during the years his company was embattled with its competition in an arms race for marketshare. Winning the race ultimately meant building features that weren’t quite as tech sexy but functionally required to the solve meaningful business problems of the customers who were willing to pay.
Thankfully, Alex was able to find a great partner in Okta (who acquired his company Stormpath in 2017) to bring the amazing tech his team built to a broader base of customers.
Lesson #6: Manage with metrics, not man-handling.
Rob MacLean, CEO of Points
By far the most seasoned CEO I’ve ever worked for, Points’ Rob MacLean founded and took a fledgling Canadian startup from no revenue to the TSX and well beyond over the last two decades.
His $203M company has found success with virtually every major airline company and hotel group in the world.
While I didn’t spend a lot of time with Rob personally, I drew lessons from his leadership via the team of C- and VP-level talent that he hired, including former CTO Dave Simons, former VP of Marketing Danielle Brown, and current SVP of Product Peter Doulas.
From Rob and his leaders, who largely trusted their teams in the trenches to get the job done, I learned that managing with and carefully monitoring key metrics can make a huge difference in your company’s ability to accomplish big things.
During my time at Points, we underwent a major re-platforming of the company’s biggest product and most significant line of business. The focus on metrics helped us build a modern, multi-million dollar product that ultimately improved conversion and top-line revenue — all while maintaining steady year-over-year growth.
Lesson #7: Building great partnerships requires great humility, loyalty, and sacrifice.
Alex Barrotti, CEO of TouchBistro
Above all others, I worked most closely with TouchBistro CEO Alex Barrotti.
Alex afforded me a tremendous amount of his time to discuss all manner of product, rev share, and strategy. He gave me the opportunity to present our roadmap to the board, to directly address our company on numerous occasions, and even to speak to the media on his behalf at off-sites and events.
Yet, it was our business trips together that taught me the most important lesson I would learn from him. I was witness to the man’s unyielding commitment to his business partners, and no matter how glamorous the life of a CEO may seem, the gruelling circuit of travel and shop talk can and will wear down even the most steadfast founder’s fortitude.
Among other things, Alex taught me that building great relationships that can drive long-term value requires great humility, loyalty, and sacrifice.
Alex remains convicted in his pursuit of delivering to and with his partners, and as a result, TouchBistro has now teamed up with Chase among many others to provide the #1 point-of-sale for restaurants.
Lesson #8: Be your own competitor.
Mike McDerment, CEO of FreshBooks
While I haven’t spent much time with Mike yet, I was drawn to work with FreshBooks after I read the story of Billspring and became a customer.
With a technology solution that was largely stagnating and a set of entrenched incumbent competitors narrowing their sights on his first company, Mike made the bold decision to found a second: his own competitor.
So was born the New FreshBooks and, in the process, one of the most interesting displays of product strategy that I’ve ever seen — as well as a clear lesson: even if it means becoming your own competitor, never believe that the product you have today is all you need to stay in business beyond tomorrow.
Bonus!
I would be remiss if I didn’t mention three more CEOs who I haven’t had the luxury of working with directly but from whom I’ve drawn at least one great lesson.
Lesson #9: Don’t hire in a hurry.
Brian de Haaff, CEO of Aha!
I had the good fortune to spend some time talking to Aha! CEO and co-founder Brian de Haaff recently, and in our short conversation, I learned that it’s incredibly important to hire with your gut, even when that means saying no to someone that on paper should be a perfect match.
In building Aha!, Brian has bootstrapped an incredible (and under-the-radar) growth company without falling for any of the major trappings of today’s modern rickety Valley rocket ships.
He’s accomplished this largely by being exceedingly careful with who he and his teams hire, and as a result, he’s enjoyed virtually no major employee turnover and his company shows no signs of slowing down as Aha! continues to transform product enterprises.
Lesson #10: Know thy landscape.
Daniel Debow, CEO of Helpful.com (formerly co-CEO of Rypple)
While I only met Daniel Debow once, when he was the CEO of Rypple (a then-competitor to Achievers), his words and actions have stayed with me to this day.
Daniel paid very close attention to the competitive market and understood better than anyone the landscape he found himself at war upon.
That’s how we met. In his market monitoring, he’d found a critical article I’d written about Rypple’s product while I was working on gamification features for Achievers’ platform.
He was acutely aware of the landscape and where the various players in our employee recognition space fit, and he spoke confidently about his direction relative to ours when he took for a coffee to confront me over what I’d written.
His commentary proved prophetic, and as a result of his market-mindedness and networking savvy, he was able to create the circumstances for the strategic (and timely) acquisition of Rypple by SalesForce in 2012.
Lesson #11: Pick great cofounders.
Zak Hemraj, CEO of Loopio
Last but certainly not least, Zak Hemraj and I previously worked together at Achievers before he went on to found the award-winning RFP response platform Loopio.
From Zak, I learned the value of picking great co-founders.
Zak is one of the smartest people I know; his insatiable curiosity and intelligence allow him to excel at just about anything he decides to pursue.
However, Zak knew that he couldn’t build a great company by himself, so he chose two equally-talented cofounders in his friends and former coworkers Matt York and Jafar Owainati — and the three have been enjoying great success since.
What Have You Learned?
As I look back on the last ten years, I find myself tremendously grateful to those outlined above and the lessons I’ve learned from each of them.
Of course, these CEOs are just a small subset of the many leaders I’ve worked with over the years. I’ve also learned a ton from others—leaders with and without title—and I look forward to celebrating the lessons learned from them in a future post, too.
For now, though, I would pose a challenge to each of you before I return to the regularly-scheduled weekly shenanngains of my typically-sassy product posts.
Forget about your company in-fighting and your personality clashes and your various day-to-day dramas. Forget about appearing to be a “suck up”. Take some time to try to do this exercise and to be grateful to those you’ve worked for and with. It’s not easy, but it’s immensely rewarding.
Oh, and thank you for reading, too. See? Gratitude is awesome, amirite?
Have your own CEO lessons to share from a great CEO you’ve worked for? I want to hear them. And if you’d like to learn more about me or my business, visit http://www.frankcaron.com.


I'm co-founder and tech lead at CoachUp, a
venture-backed startup in Boston. My passion is building stuff that people love to use.
Expertise in Ruby on Rails, interest in Elixir and Rust.
I have a double major in Math and Econ from MIT.
Passed FINRA Series 7, 63, 86, and 87 from a former life in finance.


A warning to consume alcohol moderately this festive season
The South African National Council on Alcoholism and Drug Dependence (SANCA) launched a campaign that urges ordinary citizens not to overindulge during this festive season.
by Charl PienaarMBOMBELA – Marina Erasmus, the director of SANCA Lowveld, stated that, “Younger people from the age of 15 and up are becoming alcoholics.”
“It is the long-term poisoning of your body, which could lead to frontal lobe brain damage or liver damage. I personally know people who have died this past year due to excessive alcohol usage,” she said.
The initiative, aptly named “Go Mild not Wild”, aims to curb the alcohol consumption of South Africans, who are rated as one of the top ten consumers of alcoholic beverages by the World Health Organisation (WHO).
Statistics presented by the South African Medical Research Council show that alcohol and cannabis are the substances most commonly used and abused in South Africa.
ALSO READ: SANCA Lowveld: The system is failing patients
In 2010 South Africa was listed at number 11, but less than 10 years later the Global Status Report, published by the WHO, ranked South Africa sixth in the world.
The report indicated that although only 31 percent of adults reported consuming alcohol, the average drinker in South Africa consumed 30 litres of pure alcohol in 2016 alone.
The dangerous effects of alcohol use are well-known and have over the last 30 years manifested in higher-than-average mortality rates, Foetal Alcohol Syndrome and underage drinking.
ALSO READ: Santa pays a visit to Penryn preschoolers
It was reported in 2015, that of the 529 400 deaths that year, approximately 62 300 died of alcohol-related causes in the country.
Deeply rooted in the South African culture of celebration, excessive drinking is a reality of the festive season and SANCA has provided the following tips to help you “Go Mild, Not Wild” this festive season:
- Don’t drink to get drunk. This implies that you are not thinking logically and will most likely not stop when your limit is reached.
- Don’t drink if you are on medication or other drugs.
- Don’t mix your drinks, and don’t leave your drink unattended.
- Line your stomach with something to eat before you drink.
ALSO READ: Enchanting Christmas performance by the Drakensberg Boys Choir
- Drink a glass of water between alcoholic drink to dilute and expel the alcohol in your system.
- Don’t drink and drive, as you can exceed the legal limit only after one drink. Rather engage a taxi-cab service.
- Employ the ‘Buddy System’.


Can't understand or remeber when to take your mediciens ? Just upload a pic of your prescription and we'll sort everything out for you
Feeling unwell ? Don't worry, just tell us your symptoms and our AI will find out what's wrong.


JPDA Debugger SPIs defines support for Smart Stepping, Variables Filtering
and filtering of all Debugger Views.
Smart Stepping Support
Interfaces involved:
- {@link org.netbeans.api.debugger.jpda.SmartSteppingFilter} :
Defines list of class exclusion filters to be used to filter stepping
in debugged session.
- {@link org.netbeans.spi.debugger.jpda.SmartSteppingCallback} :
Listens on stepping engine and defines classes / places the debugger
can stop in.
- {@link org.netbeans.api.debugger.jpda.JPDAThread} : Represents
context for SmartSteppingCallback (class name, method name, line
number, ...).
Functionality supported:
Set of SmartSteppingCallback installed
to JPDA Debugger defines scope for Step Into / Over / Out Actions. When
user press some Step action, debugging is resumed. And when debugger
stops on some new place (defined by class name and line number) set of
SSListeners is asked if debugging should stop on this place or not (see
{@link org.netbeans.spi.debugger.jpda.SmartSteppingCallback#stopHere}
method). But this step-by-step method is slow. That is why the second,
more powerfull method is here. SSListener can define some set of class
exclusion patterns (like java.*, com.abba.Loader, ...). This set of
exclusion patterns managed by {@link
org.netbeans.api.debugger.jpda.SmartSteppingFilter} class defines scope
for Step Actions in more powerfull way.
JPDA Debugger installs one default SmartSteppingCallback. It excludes
all sourceless classes (packages). So, if user does not have mounted
sources for Java default libraries, this SSListener adds patterns like:
java.*, javax.* and com.sun.*.
How to implement some new Smart Stepping Listener:
Lets say we have some xxx module which
generates some code to standard Java classes. The generated code is
always in some methods, which name is prefixed with "xxx" like:
class MyClass {
private void xxxBigBusinessMethod () {
// generated code is here!
}
public void userMethod () {
// user code is here...
}
}
And we would like to change standard
JPDA debugger to not stop in generated methods.
In this case we should implement {@link
org.netbeans.spi.debugger.jpda.SmartSteppingCallback}:
public class SmartSteppingCallbackImpl extends SmartSteppingCallback {
public void initFilter (SmartSteppingFilter f) {}
public boolean stopHere (ContextProvider lookupProvider, JPDAThread thread, SmartSteppingFilter f) {
String methodName = thread.getMethodName ();
return !methodName.startsWith ("xxx"); // if method starts with "xxx" DO NOT stop there!
}
}
To register this implementation, add following annotation before the class declaration:
@SmartSteppingCallback.Registration(path="netbeans-JPDASession")
Or register the full implementation class name (packagename.SmartSteppingCallbackImpl) into the file named:
META-INF\debugger\netbeans-JPDASession\org.netbeans.spi.debugger.jpda.SmartSteppingCallback
Variables Filtering
Support
Filtering of Debugger
Views
Content of all Debugger Views (like
Breakpoints View, Threads View, ...) can be changed by
viewmodel.*Filters. Folowing example shows how to filter Callstack
View. We would hide all frames associated with some "java.*" packages.
Some dummy node will be displayed in the place of this frames.
Step 1.
We should implement {@link
org.netbeans.spi.viewmodel.TreeModelFilter} first:
public class CallStackFilter implements TreeModelFilter {
public Object[] getChildren (TreeModel original, Object parent, int from, int to) {
Object[] originalCh = original.getChildren (parent, from, to);
int i, k = originalCh.length;
ArrayList newCh = new ArrayList ();
boolean in = false;
for (i = 0; i < k; i++) {
if (! (originalCh [i] instanceof CallStackFrame)) {
newCh.add (originalCh [i]);
continue;
}
CallStackFrame f = (CallStackFrame) originalCh [i];
String className = f.getClassName ();
if (className.startsWith ("java")) {
if (!in) {
newCh.add (new JavaxSwing ());
in = true;
}
} else {
in = false;
newCh.add (f);
}
}
return newCh.toArray ();
}
public Object getRoot (TreeModel original) {
return original.getRoot ();
}
public boolean isLeaf (TreeModel original, Object node)
throws UnknownTypeException {
if (node instanceof JavaxSwing) return true;
return original.isLeaf (node);
}
private static class JavaFrames {}
}
And register it in file:
Meta-inf\debugger\netbeans-JPDASession\CallStackView\org.netbeans.spi.viewmodel.TreeModelFilter
As you can see on the picture this Filter replaces some original frames
by some dummy node.
Step 2.
We should provide NodeModel (at least)
for our new node type (JavaFrames) now.
public class CallStackFilter implements NodeModel {
public String getDisplayName (Object node) throws UnknownTypeException {
if (node instanceof JavaFrames)
return "Java Callstack Frames";
throw new UnknownTypeException (node);
}
public String getIconBase (Object node) throws UnknownTypeException {
if (node instanceof JavaFrames)
return "org/netbeans/examples/debugger/jpda/callstackviewfilterring/NonCurrentFrame";
throw new UnknownTypeException (node);
}
public String getShortDescription (Object node) throws UnknownTypeException {
if (node instanceof JavaFrames)
return "Unimportant hidden callstack frames";
throw new UnknownTypeException (node);
}
}
And registration:
Meta-inf\debugger\netbeans-JPDASession\CallStackView\org.netbeans.spi.viewmodel.TreeModelFilter


The same as before.
A dump of the new file is indistinguishable from that of the previous file. A program that reads data from this file must be written with the knowledge of how the file was written. (Of course, since I know how it was written the brackets under the bytes show the intended groupings).
Here is an excerpt from the DataOutputStream
documentation.
public void writeBytes(String s) throws IOException Writes the low eight bits of each character in the string.
This does not write the String object to the stream,
but writes bytes based on the characters held in the String.
A String object (like all objects) is a discrete entity
with its own data, methods, and internal organization.
The writeBytes()
just writes out the characters.
If the characters in a String are from the usual Western
alphabet, the writeBytes()
method writes
normal 8-bit ASCII.


J. Reekie, S. Neuendorffer, C. Hylands and E. A. Lee ``Software Practice in the Ptolemy Project,'' Technical Report Series, GSRC-TR-1999-01, Gigascale Semiconductor Research Center, University of California, Berkeley, CA 94720, April 1999.
This page is a place holder for any future additions or clarifications to the above paper.
Last Updated: $Date: 2000/11/29 07:29:05 $


Our goal is to inspire action. Our app gives the user a service idea to do for someone they know.
We want our users to feel empowered. We give them the ability to customize your contacts and service ideas
We want to improve people's lives. Kind acts benfit the giver too. Research shows it releases serotonin, slows aging, and reduces stress levels.


If you don't see the Debugger :
You should open the debugger yourself. You can use the keyboard shorcuts:
- Chrome (Mac) : Cmd + Opt + I
- Chrome (Win) : Ctrl + Shift + I
- Firefox (Mac) : Cmd + Opt + S
- Firefox (Win) : Ctrl + Shift + S
Once you have opened the debugger, reload the page.


Handyman Services
Greentheme can do handymans jobs around your house, with a welcome difference!
We are highly skilled for each job. Just have a look at our skill set!
- Building Fences
- Repairing Fences
- Building Repairs
- Small Construction
- In fact, any building jobs, all undertaken by qualified, registered builders.
We also have Fully Qualified Plumbers, so things such as:
- New hot water cylinders
- Leaky taps
- Dripping Toilets
- Noisy Pipes
- Blocked Drains
The things that you hate are the things we love. Call us now (0800 EZYCALL) to get your plumbing issues resolved.
Other Household bothers that you or your partner can't resolve? Call Us (0800 EZYCALL). We can either do it for you, or point you in the right direction.
We have recently added Registered Electricians to our group of trained professionals, so if you have
- a faulty light switch
- new wiring
- old wiring
- to install a light switch
- replace a light socket
- fix a power point or plug
- install broadband filter
- any thing that uses power, that needs fixing
Then why wait, we want to fix it. 0800 EZYCALL.
Any questions or issues you have with any job in or around your house, we have trained professionals that can offer advice and free quotes, often over the phone, all you have to do is pick up the phone - 0800 EZYCALL - You will thank us later, when your house and yard are restored to their former glory.
Because Greentheme is constantly growing we are always adding to our list of skills so that we can deliver the best service. If you have something not listed above, drop us a line and we will see if we can work something out for you.


Table of Contents
- Installation
- Basic Usage
- Reporters
- Using should.js with ti-mocha
- Titanium + mocha + should example
- Tips
- Caveats
- Links
Installation
Easy Way
cd /path/to/Titanium/project && npm install ti-mocha
If executed in your project's root folder, this will put ti-mocha.js in Resources
for traditional Titanium apps, or app/lib
for Alloy apps.
Less Easy Way
- Download ti-mocha.js.
- Copy
ti-mocha.js
into your project'sResources
folder (orapp/lib
if you're using alloy).
Basic Usage
// creates the "mocha" global necessary to run a test suite anywhere in your app
require('ti-mocha');
// create the test suite
describe('ti-mocha', function() {
describe('suite 1', function() {
it('shows passing tests (fast)', function(){});
it('shows passing tests (slow)', function(done){
setTimeout(done, 1500);
});
});
describe('suite 2', function() {
it('shows pending tests');
it('fails a test', function() {
throw new Error('this shoud fail');
});
});
});
// run the tests
mocha.run();
Reporters
- ti-spec - Titanium-compatible version of the original mocha spec reporter
- ti-spec-studio - Same as ti-spec, but this one is optimized for use in Titanium Studio
The ti-spec reporter is chosen by default. To switch to a different reporter, use mocha's setup()
function before run your test suites.
mocha.setup({ reporter: 'ti-spec-studio' });
Note for reporter developers
Giving your reporter the suffix "-studio" will automatically modify ti-mocha's underlying console.log()
implementation to exclude ANSI code sequences (covered in Caveats). This helps to automatically optimize your test output for the Titanium Studio console.
Using should.js with ti-mocha
While mocha doesn't care what you use as your assertion library, it works particularly well with should.js, not coincidentally due to them having the same author. To install should.js:
- Download should.js.
- Copy
should.js
into your project'sResources
folder.
For full documentation on what should.js can do for your tests, check out the documentation.
Titanium + mocha + should example
app.js
require('ti-mocha');
// create a basic UI
var win = Ti.UI.createWindow({
backgroundColor: '#fff',
fullscreen: false,
exitOnClose: true,
id: 'myWindow'
});
var view = Ti.UI.createView({
height: Ti.UI.FILL,
width: Ti.UI.FILL,
backgroundColor: '#a00',
id: 'myView'
});
win.add(view);
// run tests after window opens to ensure UI is initialized
win.addEventListener('open', function() {
require('test/app_test')(win, view);
});
// show the UI
win.open();
test/app_test.js
var should = require('should');
module.exports = function(win, view) {
describe('app.js', function() {
describe('#myWindow', function() {
it('exists', function() {
should.exist(win);
win.id.should.equal('myWindow');
});
it('has Ti.UI.Window functions', function() {
should(win.open).be.a.Function;
should(win.close).be.a.Function;
if (Ti.Platform.name === 'iPhone OS') {
should(win.hideTabBar).be.a.Function;
}
});
it('has dimensions equal to the device', function() {
win.size.height.should.equal(Ti.Platform.displayCaps.platformHeight);
win.size.width.should.equal(Ti.Platform.displayCaps.platformWidth);
});
});
describe('#myView', function() {
it('exists', function(){
should.exist(view);
view.id.should.equal('myView');
});
it('has Ti.UI.View functions', function() {
should(view.add).be.a.Function;
});
it('is a child of window', function() {
win.children.length.should.equal(1);
should.exist(win.children[0]);
win.children[0].id.should.equal('myView');
});
it('view has same dimensions as window', function(){
view.size.height.should.equal(win.size.height);
view.size.width.should.equal(win.size.width);
});
});
});
// run the tests
mocha.run();
};
output
Tips
- Set your log level to
info
to get the best looking test results. - .jshintrc for Titanium + mocha + should
- If you're going to test Titanium UI state (like size and position), be sure to wait until the UI is ready. The easiest way to do this in most cases is to wait for the containing Ti.UI.Window to be open.
var win = Ti.UI.createWindow();
// assemble the rest of "win" UI
win.addEventListener('open', function() {
// run tests against "win" or its children
});
win.open();
Caveats
These caveats include tips for usage, as well as for development of your own Titanium-compatible reporters.
Titanium proxies don't play well with should.js
should.js works by extending Object.prototype
with the should
object. While this works for all pure Javascript objects and most Titanium proxy properties, it does not update the proxies themselves, or their functions. When attempting to use should
directly on Titanium proxies or their functions, you must wrap the proxy or function in a should
call to avoid a runtime undefined
error.
var should = require('should');
var win = Ti.UI.createWindow();
win.open.should.be.a.Function; // will throw a runtime error
should(win.open).be.a.Function; // will work as expected
Ti.API calls and Studio Console don't like ANSI codes
Much of the reporters in mocha, including ti-spec
which is optimized for the terminal, make use of ANSI codes for the test reporting output. These are integral to coloring, as well as controlling the cursor in mocha's reporters. Unfortunately, Titanium Studio's console does not handle ANSI codes, either ignoring them or printing them as literals. On top of this, the Ti.API calls will often mangle commonly used ANSI characters, like ✓ or ✖. For this reason, when constructing your own reporters, it's wise to use standard characters or test heavily for compatibility before using any ANSI codes.
Ti.API calls trim leading whitespace
For example, this:
Ti.API.info(' this should have 4 leading spaces');
will print as this (notice the lack of leading spaces):
this should have 4 leading spaces
In order to workaround this, we can take advantage of the previously mentioned caveat. If you wrap your whitespace in an ignored ANSI code, the whitespace will be preserved. So the above code would print with the 4 leading spaces if you modified it to look like this:
// color() helper from Base reporter class
var color = require('./base').color;
Ti.API.info(color('suite', ' ') + 'this should have 4 leading spaces');
// or you can simply include the whitespace in the coloring of the whole line
Ti.API.info(color('suite', ' this should have 4 leading spaces'));


============= Meeting 08-Feb-2012 =============
------------------------ Agenda ----------------------------
1. Unsigned support review (*Marty*, 30 minutes)
Walkthrough of Marty's proposal, see Marty's email 3-Feb-2012 [3].
2. Matej's proposal for moving Field serialization to pvData (*Matej*).
May be very short if no further questions. Prioritisation w.r.t. pvAccess pub.
3. Meetings coming up.
Who's going to EPICS mtg at SLAC?
IPAC 2012?
What talks have been submitted
Where shall we hold next developer's meeting. SLAC, New Orleans, PSI?
4. How are Feb 14th AIs looking [4]?
[1] http://epics-pvdata.sourceforge.net/home.html#usefulinfo
[2] http://epicsv4.titanpad.com/2
[3] https://sourceforge.net/mailarchive/message.php?msg_id=28781455
[4] https://sourceforge.net/tracker/?group_id=249167&atid=2482257
------------------------ Minutes ----------------------------
Present: BD, MK, GW, RL, MS, GS, JR, DH
Scribe: RL
1. Unsigned support review
MK: doc is on the web: http://epics-pvdata.sourceforge.net/alpha/unsigned.html
MK: C++ unsigned will be fully implemented
existing methods stay (returning signed), new methods return wider (signed) types.
DH: that's the opposite of what was agreed to at the meeting
MK: Hard Java limit: no. of array elements < 2G
C++ implementation will use size_t
GW: But the semantics of the API methods have been switched.
DH: We wanted to default get() to be safe, so it has to promote to the wider type.
For scalars: Does not affect the signed types, should not break existing code.
MK: For the array types, arrays of both sizes have to be kept and sync'd.
DH: The methods will have to hand over different references.
MK: Intention was to avoid multiple copies.
DH: Have to think about the array types.
MK: Arrays and scalars should have a similar interface.
GW: Why not start with MK's version, and DH tries to streamline it with the meeting results.
JR: User should not by chance get a return value with a wrong sign.
MK: How does if affect de-/serialization?
DH: What's the issue with that?
MK: Serialization should follow and transport the wider type.
DH: There is no promotion in serialization. I don't see any issue here.
RL: Me neither. The flag on-the-wire was sufficient.
ALL: Arrays are a serious issue.
GW: Is sticking to the meeting results really that important?
DH: Potential problem (physicist using the wrong function), but not a major issue.
GW: Why not start with MK's version, and DH thinks to if there's a solution closer to the meeting results.
************
RESOLUTION: Unsigned type API
Interface for unsigned types will have the simple get()/put() functions be unsafe. (I.e. returning the original width types.)
Subject to DH finding a good implementation for the originally planned API.
************
2. Matej's proposal for moving Field serialization to pvData
GW: Can you explain how the serialization code is moved to pvData?
MS: Code used to be in pvAccess. Will be changed to pvData having the serialize/deserialize interface.
The full serialization interface will be in pvData.
GS: So that the python implementation will need its own implementation?
MS: Similar to pvField.
GS: So pvAccess will deliver the raw byte stream?
MS: Yes.
DH: Right now the introspection interface serializes and puts the first bytes into the buffer. MS's suggestion will have pvField and pvData do all of the serialization.
MS: pvData will also serialize the introspection data. It is a design clean-up.
JR: For implementations in other languages, we will need access to the raw byte buffer in the pvAccess API.
GW: The public interfaces will not change?
MS: The field interface in pvData will get the two additional methods. No change on the user side.
Bottom line is Matej gets to implement the change the way he proposed.
JR: Suggests ctypes as a base for the serialization engine. But will follow anything.
MK: Can you do a small example?
JR: Yes.
3. Meetings coming up
Planned Attendances:
EPICS-Meeting @SLAC: Apr 23-27
BD, RL?, JR?, MK?, GW
IPAC @New Orleans May: 20-25
BD
Showcase:
[BD: All of you have surprise talks at the EPICS meeting!]
MK: The Gather service is ready to be shown
GS: Better wait for the C++ server implementation.
No monitor in python (for Orbit service). Fundamental functionality!
GW: While the Orbit service gathers the orbits, the client could still do a get().
GW: Should the next V4 meeting be at the EPICS meeting?
Or is someplace else offering to host?
4. How are Feb 14th AIs looking
GW: Still a long list... http://sourceforge.net/tracker/?group_id=249167&atid=2482257
BD: AreaDetector: Mark Rivers is interested to get involved.
[GW going through the list on SF.net]
BD: Excused for next week.


Re-runs your workflow run using its id
. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the actions
permission to use this endpoint.
POST /repos/:owner/:repo/actions/runs/:run_id/rerun
Status: 201 Created


Live
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LANC
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{{boxing.yorkScore}}
YORK
{{boxing.currRound}} Round
Overall Score
LANCS
{{lancScore}}
YORK
{{yorkScore}}
{{clock}}
LANCS {{football.lancScore}}
{{football.yorkScore}} YORK
LEGS
{{darts.player1}}
{{darts.leg1}}
{{darts.score1}}
{{darts.player2}}
{{darts.leg2}}
{{darts.score2}}
{{ grid.header }}
{{ row.left }}
{{ row.right }}
{{clockDec}}
{{clockMin}}:{{clockSec}}.
{{swimming.pos1lane}}
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Results - {{swimming.distance}}
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Chocolate Pizza
POSTED ON 15 DEC 2013 / DESSERTS
For the fig-swirl: Melth butter over medium heat in saucepan. Add brown sugar and stir to dissolve. Halve all of the figs and toss in the saucepan with water and lemon juice. Cook over medium heat, stirrring frequently, until you have a chunky-jammy mixture. Add salt with one or two stirs, set aside and let cool completely.
Ice cream: In a small pot over medium heat, combine milk, granaulated sugar ntil sugar is completely dissolved and the milk is just barely lukewarm. Whisk in the egg yolks. Set mixture in frig and wait until the fig mixture is cooled.
Using an ice cream machine, pour liquids into the frozen basin and process according to manufacturer instructions, i.e., let spin and thicken for 20 minutes before adding mascarpone, fig jam mixture, and the nuts. Continue to process for +/- 10 minutes. Pour semi-frozen mixture into a pyrex dish or glass tupperware. Freeze for at least two hpours before serving.
- 1 1/2 cups milk
- 1 1/2 cups heavy cream
- 1/2 cup mascarpone
- 1/3 cup granulated sugar
- 1/2 tsp pink salt
- 2 egg yolks
- 1 lb Black Mission Figs
- 1 lemon, juiced
- 1/2 cup brown sugar
- 2 tbsp butter
- 2-4 tbsp water
- 1 cup honey roasted pecans, roughly chopped


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CFEKX RKD8NjuLNrnqaFY9KRpU6MAWHeve9byjAA didnt return anything
== response_dpow CFEKX ==
{'error': 'source address or dest '
'address has no privkey, '
'importprivkey',
'tag': '427903801201651541'}


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{{spot.phone}}


Base :
Base CSS
Header 1
Header 2
Header 3
Header 4
Header 5
Header 6
Unordered List
- list item 1
- list item 1
- list item 2
- list item 2
- list item 3
- list item 3
- list item 2
- list item 2
- list item 1
- list item 1
Ordered List
- list item 1
- list item 1
- list item 2
- list item 2
- list item 3
- list item 3
- list item 2
- list item 2
- list item 1
- list item 1
Definition Lists
- Definition term
- Definition description
- Definition term
- Definition description
- Definition description
- Definition term
- Definition term
- Definition description
One small step for man, one giant leap for mankind.
EASUI is a free, open source CSS library for building interactive web applications.
cite element example
The code element
example
The del element example
The dfn element and dfn element with title examples
The em element example
The i element example
The img element example
The ins element example
The kbd element example
The mark element example
UI-Elements
Titles :
-
EasUI CSS Framework
EasUI CSS Framework
EasUI CSS Framework
EasUI CSS Framework
EasUI CSS Framework
EasUI CSS Framework
-
EasUI CSS Framework
-
EasUI CSS Framework
-
EasUI CSS Framework
-
EasUI CSS Framework
-
EasUI CSS Framework
EasUI CSS Framework
EasUI CSS Framework
EasUI CSS Framework
EasUI CSS Framework
EasUI CSS Framework
-
EasUI CSS Framework
-
EasUI CSS Framework
-
EasUI CSS Framework
-
EasUI CSS Framework
Labels
You have 20 mails
We're sorry, we can't connect you to the app
Mails : received 20 | Draft 8 | Trash 45
You can aslo use them as inline buttons : Download PDF
Hover statement- .label--hover--blue Hover me !
- .label--hover--green Hover me !
- .label--hover--yellow Hover me !
- .label--hover--red Hover me !
- .label--hover--black Hover me !
EasUI - ui-elements : Images
Regular
Border
Bordered
Smooth
Smooth + border
smooth + bordered
Rounded
Rounded + border
Rounded + bordered
Cover
Smooth + cover
Rounded + cover
Cover Mention
hoverSmooth + cover
hoverRounded + cover Mention
hoverColors
hoverSmooth + cover
hoverRounded + cover Mention
hoverFull Display (wide)
Full Display (smooth)
Full Display (rounded)
Full Display (wide)
EasUI Grid with Lemonade
EasUI need an elegant and responsive grid system, thats why we decided to choose Lemonade for our grid.
Why do you need to create an other grid when you can find good ones ?
Let's play with the size of your window to see how lemonade is smart and adaptative.
Layouts
Now You saw the grid system, you have to get how it works, we choose lemonade because its easy to understand.
When you want to create a grid, you have to see it as a big system of blocks, and lemonade work this way.

Jon Doe Designer
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AVR®32 AT32AP7000 Software Framework: STK1000 board software abstraction
Copyright © 2006-2008 Atmel Corporation
Content
The abstraction is made of the following files:
- stk1000.h:a preprocessor mapping of the on-board AT32AP7000 pins connections to the on-board hardware resources.
- led.c and led.h: a specific set of functions to easily control the STK1000 LEDs.


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