Prototype Jungle
Save
Saving
Building
The json should have the form:
{"comment":"Example","value":<
whatever
>}


Estimation and validation of regression results of the geographically weighted regression (GWR) model.


This is a music instruments store which loved by local music fans.
The store has so many bass guitar, guitar, equipment, and clothes of the store. Especially, so many bass guitars stimulate me. Kind shop clerk is also their good point.
This is a burger shop. Burgers are made after order, so they are always freshly made.
Thanks to well-made ingredients, burger’s patty tastes good, and it’s well baked.
Fries are also good. Picking slim French fries and shoving to my mouth is good, but my recommendation is onion fries. Its size is ideal and the batter is good. Try it!
With French Flies
With Onion Flies
The class trip was so fun and very practical.
From those activities, I learned importance of challenge, teamwork, and tell information carefully yet briefly.


Lorem ipsum dolor sit amet, consectetur adipisicing elit. In ratione voluptatibus nam. Quod, odio beatae!
Lorem ipsum dolor sit amet consectetur adipisicing elit. Fugiat, earum dicta quam repellat aut accusamus?
Lorem ipsum dolor sit amet consectetur adipisicing elit. Fugiat, earum dicta quam repellat aut accusamus?
Lorem ipsum dolor sit amet consectetur adipisicing elit. Fugiat, earum dicta quam repellat aut accusamus?
Lorem ipsum dolor sit amet consectetur adipisicing elit. Fugiat, earum dicta quam repellat aut accusamus?
Lorem ipsum, dolor sit amet consectetur adipisicing elit. Exercitationem non laboriosam itaque harum officia labore ipsum iusto eius placeat repudiandae ducimus sunt, quo nobis asperiores.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Lorem ipsum dolor sit amet consectetur, adipisicing elit. Saepe, eius recusandae? Deleniti facilis nostrum id tenetur ipsum cupiditate quod cum, adipisci praesentium maiores aliquid? Ut!
© Majestic Mountain Furniture | All rights reserved


MAFIA! (1998) A Film Review by Ted Prigge Copyright 1998 Ted Prigge
Director: Jim Abrahams Writers: Jim Abrahams, Greg Norberg, and Michael McCamus Starring: Jay Mohr, Lloyd Bridges, Christina Applegate, Billy Burke, Olympia Dukakis, Pamela Gidley
"Mafia!" comes from one third of the creators of "Airplane!," a film that defined the gag-a-minute form of comedy, and did it with such sheer surreal delight that it's even more of a classic than the film it was parodying, "Airport." That person is Jim Abrahams, who is also one of the creators of "The Naked Gun" and "Hot Shots!" movies, which were also hilarious films. Why were they hilaroius? Because a good percentile of the millions of jokes told were funny. A film like this can never really fail as long as there are funny jokes, and it only works incredibly well if the jokes are not only funnier but frequent. The longer the space between the good jokes, the worse the film gets.
Such a film is "Mafia!," a gag-induced treatment of three mafia pics - "The Godfather," "The Godfather: Part II," and "Casino" - as well as assorted other flicks, everything from "Forrest Gump" to "The Gold Rush" to "Il Postino." I did laugh during this film, but there are two differences between this film and the other earlier greater films: 1) when I laughed, it was more of a chuckle then a whole-hearted laugh, and 2) these laughs were widely spaced between jokes that just fell completely on their ass and got more of a "nice try" reaction than anything else.
Take one early scene in the movie: Lloyd Bridges, in his final role, plays the Brando part in the first "Godfather" movie, and during his daughter's wedding, a tall henchman dressed as a priest walks up to him and says, "Say hello to my little friend."  I laughed (although I laughed harder when I saw it for the first time in the previews). Then the dwarf continues to shoot Bridges over and over and over and over and over again, and as he's being shot, he starts doing what looks like dances, and the band plays whatever dance they think he's doing, everything from Swing to the Macarena. Just not funny. Nice try, though.
I'm not sure why the jokes aren't that funny. Abrahams is very adept at creating gags-a-second on his own, gags that are for the most part pretty hilarious. And he has some good performers on hand, like Jay Mohr, who was killer during his brief stint on "Saturday Night Live" and awesome as a scene stealer in "Jerry Maguire." He even has Bridges, bringing comic grace a la an older Leslie Nielsen, and giving it the right note of sentimentality since we loved him and he's gone. My god, he even somehow got Olympia Dukakis to show up in an all-too-brief performance as Bridges's aging, hunch-backed mother who at one point drinks prune juice during a parody of a famous scene in the first "Godfather."
Maybe it's not that funny because basically the plot of the parody, if you can call it that, it extremely sloppy. Even "Airplane!" had a coherent plot, sorta, one that you could say was well-laid out. The jokes in that movie came out of the scene itself, which were milked for all its comic worth. Here, the story moves primarily because of the plot. When a scene is over, it's because the writers ran out of jokes, and the parodies of the three chief movies just don't work together. The film opens with a parody of the opening scene of "Casino," with Jay Mohr playing the DeNiro character being blown up in his car, and then goes back to his father's childhood and early adulthood a la "The Godfather: Part II," then goes to the opening of the first "Godfather." These films don't it together as well, though, and even though I probably shouldn't be complaning that a plot is sloppy in a film like this, it may be part of the reason why it's just not that funny.
But the main problem with this film is the jokes aren't that funny. The best parts are the ones in the casino, where there are games like "Chutes and Ladders," "Candyland," as well as games like "Guess the Number" and "You Can't Possibly Win This Game." The worst parts are things in between the good jokes, the fillers, like how everyone runs into things and knocks them over. Maybe the biggest travesty is they do next to nothing with Lloyd Bridges. It's not that I'm sad he didn't get more screen time because it was his final performance - he was a great comic actor and he deserves more than a scene where he just falls down and closes venitan blinds on his head. They don't even allow him to do a Brando impersonation, the key to any joke made at the "Godfather" films.
But really, who wanted to see a parody of these films anyway. They're so intensely serious that any joke that had been made at them has probably been made already. Brando's performance is a laugh in itself - show me one person who can't at least try to do a Brando imitation? I said a film like this couldn't entirely fail, but this one comes pretty damn close.
MY RATING (out of 4): **
Homepage at: http://www.geocities.com/Hollywood/Hills/8335/
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


The paper investigated two possible reasons behind the usefulness of MAML algorithm:
Rapid Learning - Does MAML learn features that are amenable for rapid learning?
Feature Reuse - Does the MAML initialization provide high-quality features that are useful for the unseen tasks.
This leads to a follow-up question: how much task-specific inner loop adaptation is needed.
In a standard few-shot learning setup, the different datasets have different classes. Hence, the top-most layer (or the head) of the learning model should be different for different tasks.
The subsequent discussion only applies to the body of the network (ie, network minus the head).
Freezing Layer Representations
In this setup, a subset (or all) of parameters are frozen (after MAML training) and are not adapted during the representation.
Even when the entire network is frozen, the performance drops only marginally.
This indicates that the representation learned by the meta-initialization is good enough to be useful on the test tasks (without requiring any adaptation step).
Note that the head of the network is still adapted during testing.
Representational Similarity
In this setup, the paper reports the change in the latent representation (learned by the network) during the inner loop update with a fully trained model.
Canonical Correlation Analysis (CCA) and Central Kernel Alignment (CKA) metrics are used to measure the similarity between the representations.
The main finding is that the representations in the body of the network are very similar before and after the inner loop updates while the representations in the head of the network are very different.
The above two observations indicate that feature reuse is the primary driving factor for the success of MAML.
When does feature reuse happen
The paper considers the model at different stages of training and compares the similarity in the representation (before and after the inner loop update).
Even early in training, the CCA similarity between the representations (before and after the inner loop update) is quite high. Similarly, freezing the layers (for the test time update), early in training, does not degrade the test time performance much. This hints that the feature reuse happens early in the learning process.
The empirical evidence suggests that the success of MAML lies in the feature reuse.
The authors build on this observation and propose a simplification of the MAML algorithm: ANIL or Almost No Inner Loop Algorithm
In this algorithm, the inner loop updates are applied only to the head of the network.
Despite being much more straightforward, the performance of ANIL is close to the performance of MAML for both few-shot image classification and RL tasks.
Removing most of the inner loop parameters speed up the computation by a factor of 1.7 (during training) and 4.1 (during inference).
Given that it is possible to remove most of the parameters from the inner loop update (without affecting the performance), the next step is to check if the inner loop update can be removed entirely.
This leads to the NIL (No Inner Loop) algorithm, which does not involve any inner loop adaptation steps.
A few-shot learning model is trained - either with MAML or ANIL.
During testing, the head is removed.
For each task, the K training examples are fed to the body to obtain class representations.
For a given test data point, the representation of the data point is compared with the different class representations to obtain the target class.
The NIL algorithm performs similar to the MAML and the ANIL algorithms for the few-shot image classification task.
Note that it is still important to use MAML/ANIL during training, even though the learned head is not used during evaluation.


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New reviews for 11/12/2007
posted by GAKON on NOV 12, 2007
And it's my birthday, even. Huzzah!
>> Aegis Wing (by LordAndrew)
>> Halo 3 (by Gakon, Aspro, and Gmsnpr)
>> Grand Theft Auto IV (By Gmsnpr and Usagi)
Update title
posted by GAKON on NOV 11, 2007
I'm going to give you links to search engines you
haven't heard of, lol. This first one is called
Google. It has a
goofy name. There's also these other two called
Yahoo! and
MSN. Man, does ANYONE use MSN?


#include <lib/core/CHIPPersistentStorageDelegate.h>
◆ ~PersistentStorageDelegate()
| virtual chip::PersistentStorageDelegate::~PersistentStorageDelegate |
( |
| ) |
|
|
inlinevirtual |
◆ AsyncDeleteKeyValue()
| virtual void chip::PersistentStorageDelegate::AsyncDeleteKeyValue |
( |
const char * |
key | ) |
|
|
pure virtual |
◆ AsyncSetKeyValue()
| virtual void chip::PersistentStorageDelegate::AsyncSetKeyValue |
( |
const char * |
key, |
|
|
const char * |
value |
|
) |
| |
|
pure virtual |
◆ SetStorageDelegate()
◆ SyncGetKeyValue() [1/2]
| virtual CHIP_ERROR chip::PersistentStorageDelegate::SyncGetKeyValue |
( |
const char * |
key, |
|
|
char * |
value, |
|
|
uint16_t & |
size |
|
) |
| |
|
inlinevirtual |
This is a synchronous Get API, where the value is returned via the output buffer.
This API should be used sparingly, since it may block for some duration.
- Parameters
-
| [in] | key | Key to lookup |
| [out] | value | Value for the key. This will always be null-terminated if the function succeeds. |
| [in,out] | size | Input value buffer size, output size of buffer needed to store the value. Note that due to null-termination this will be 1 bigger than the "length" of the value. |
The output size could be larger than input value. In such cases, the user should allocate the buffer large enough (>= output size), and call the API again. In this case SyncGetKeyValue will place as many bytes as it can in the buffer and return CHIP_ERROR_NO_MEMORY.
If value is null, the input size is treated as 0.
- Returns
- CHIP_ERROR_KEY_NOT_FOUND there is no value for the given key.
-
CHIP_ERROR_NO_MEMORY if the input buffer is not big enough for the value.
-
CHIP_ERROR_BUFFER_TOO_SMALL if the value's size is too large to be expressed as a uint16_t.
Reimplemented in AndroidDeviceControllerWrapper, and chip::Controller::PythonPersistentStorageDelegate.
◆ SyncGetKeyValue() [2/2]
| virtual CHIP_ERROR chip::PersistentStorageDelegate::SyncGetKeyValue |
( |
const char * |
key, |
|
|
void * |
buffer, |
|
|
uint16_t & |
size |
|
) |
| |
|
inlinevirtual |
This is a synchronous Get API, where the value is returned via the output buffer.
This API should be used sparingly, since it may block for some duration.
This API can be used to retrieve a byte buffer value from the storage.
- Parameters
-
| [in] | key | Key to lookup |
| [out] | buffer | Value for the key |
| [in,out] | size | Input value buffer size, output length of value. The output length could be larger than input value. In such cases, the user should allocate the buffer large enough (>= output length), and call the API again. |
◆ SyncSetKeyValue()
| virtual CHIP_ERROR chip::PersistentStorageDelegate::SyncSetKeyValue |
( |
const char * |
key, |
|
|
const void * |
value, |
|
|
uint16_t |
size |
|
) |
| |
|
inlinevirtual |
Set the value for the key to a byte buffer.
- Parameters
-
| [in] | key | Key to be set |
| [in] | value | Value to be set |
| [in] | size | Size of the Value |
The documentation for this class was generated from the following file:


WITNESS LIST Business & Commerce Committee February 5, 2001 - 2:30P Electric Utility Restructuring Issu ON: Baker, Thomas (TXU and AECT), Dallas, TX Briesemeister, Janee (Consumers Union), Austin, TX Lednicky, Lynn (Dynegy), Houston, TX MacLeod, Mark (Environmental Defense), Austin, TX Noel, Thomas (ERCOT), Austin, TX Walsh, Judy Commissioner (Tx Public Utility Commission), Austin, TX Wood, Pat Chairman (Tx Public Utility Commission), Austin, TX


First Experience - 7.2g dry seeds washed and then eaten (no other preparation)
The seeds were eaten on a full stomach of bad Chinese food at about 7 pm on a Saturday night. Nausea began even before I was finished eating all of the seeds, and steadily increased for about an hour. I joined some friends in an attempt to forget about the nausea and pass the time until the onset of MG effects. The Nausea subsided to a dull stomach ache after about three hours or so, but was still noticeable until onset of LSA effects five hours after ingestion. Effects were still pronounced at 3 am when I decided to go to sleep, and slight traces of the effects were noticed the next day.
Second Experience - 10.8g seeds washed, sprouted, and eaten
The seeds were eaten on a fairly empty stomach at about 7 pm on a Monday night. Sprouting seeds were soft and extremely easy to eat with none of the mildly ill taste of eating dry seeds. No significant nausea was experienced, only some burping and mild stomach upset which was offset by eating raw ginger. Onset of effects was within a similar time-span with consumption of dry seeds, with effects being notice in earnest about four hours after ingesting the sprouted seeds. Three friends who also ate MG that night (both dry and sprouted) noticed effects after about two hours, however. Effects were still pronounced at 4 am when I decided to go to sleep, and a pronounced 'afterglow' remained the next day as with the earlier experience.
The Effects -
The effects of Morning Glory at these dosage levels is rather hard to quantify. It can best be described as making the world more interesting than I ever thought it could be. Everyday objects become sources of wonder and amazement, and the moon is breathtaking. The world itself take on the appearance of work of art, or a great photograph. Music as with many other drugs, takes on new dimensions. Capacity for abstract thought and imaginative understanding seem to be increased with a noted increase in one's ability to truly understand other's perspectives and to articulate fleeting insights which normally are left unexpressed and undeveloped. It is in this respect that MG stands apart form other substances, it leaves the intellectual mind not just intact, but in an augmented state. MG is a substance for understanding the world, not escaping from it or forgetting it.
The morning after effects are a pleasant and subtle detachment from and appreciation of the world, a sublime feeling that lasts for about 24 hours after ingestion of the seeds.
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.


"""
Appendix T : Improvement measures
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
"""
from ..tables import table_2a_hot_water_vol_factor
from .. import worksheet
from ..configure import lookup_sap_tables
from ..dwelling import DwellingResults
from ..sap_types import HeatingTypes, PVOvershading
[docs]def apply_low_energy_lighting(base, dwelling):
"""
Apply low energy lighting improvement
:param base: base performance is ignored, but necessary to maintain consisten interface
:param dwelling:
:return:
"""
if ((dwelling.get('low_energy_bulb_ratio') and dwelling.low_energy_bulb_ratio == 1) or
dwelling.lighting_outlets_low_energy == dwelling.lighting_outlets_total):
return False
dwelling.low_energy_bulb_ratio = 1
return True
[docs]def needs_separate_solar_cylinder(base):
"""
Args:
base: The base dwelling configuration
Returns:
"""
if base.water_sys.system_type in [HeatingTypes.cpsu,
HeatingTypes.combi,
HeatingTypes.storage_combi,
HeatingTypes.heat_pump,
HeatingTypes.pcdf_heat_pump]:
return True
if base.get('instantaneous_pou_water_heating'):
return True
if base.water_sys.system_type == HeatingTypes.community and base.get('hw_cylinder_volume') is None:
return True
if (base.water_sys.system_type == HeatingTypes.microchp
and base.water_sys.has_integral_store):
return True
return False
[docs]def apply_solar_hot_water(base, dwelling):
"""
Apply the solar hot water improvement
Args:
base: The base dwelling configuration
dwelling: The improved dwelling configuration
Returns:
"""
if dwelling.is_flat:
return False
if dwelling.get('solar_collector_aperture', 0) > 0:
return False
dwelling.solar_collector_aperture = 3
dwelling.collector_zero_loss_effy = .7
dwelling.collector_heat_loss_coeff = 1.8
dwelling.collector_orientation = 180.
dwelling.collector_pitch = 30.
dwelling.collector_overshading = PVOvershading.MODEST
dwelling.has_electric_shw_pump = True
dwelling.solar_dedicated_storage_volume = 75.
if needs_separate_solar_cylinder(base):
dwelling.solar_storage_combined_cylinder = False
else:
assert dwelling.hw_cylinder_volume > 0
dwelling.solar_storage_combined_cylinder = True
if dwelling.hw_cylinder_volume < 190 and dwelling.get('measured_cylinder_loss'):
old_vol_fac = table_2a_hot_water_vol_factor(dwelling.hw_cylinder_volume)
new_vol_fac = table_2a_hot_water_vol_factor(190)
dwelling.measured_cylinder_loss *= new_vol_fac * 190 / (old_vol_fac * dwelling.hw_cylinder_volume)
dwelling.hw_cylinder_volume = 190
else:
dwelling.hw_cylinder_volume = max(dwelling.hw_cylinder_volume, 190.)
return True
[docs]def apply_pv(base, dwelling):
"""
Apply PV improvements. Only valid if the dwelling is not a flat
and there are no photovoltaic systems already installed
Args:
base: The base dwelling configuration
dwelling: The improved dwelling configuration
Returns:
Update the dwelling configuration and return bool indicating
whether the PV improvement applies
"""
# TODO: check whether the is_flat etc checks should be on the base dwelling or the improved one
if dwelling.is_flat:
return False
if len(dwelling.get('photovoltaic_systems', [])) > 0:
return False
pv_system = dict(
kWp=2.5,
pitch=30,
orientation=180,
overshading_category=PVOvershading.MODEST
)
dwelling.photovoltaic_systems = [pv_system, ]
return True
[docs]def apply_wind(base, dwelling):
"""
Args:
base: The base dwelling configuration
dwelling: The improved dwelling configuration
Returns:
Update the dwelling configuration and return bool indicating
whether the wind improvement applies
"""
if dwelling.is_flat:
return False
if dwelling.get('N_wind_turbines', 0) > 0:
return False
dwelling.N_wind_turbines = 1
dwelling.wind_turbine_rotor_diameter = 2.0
dwelling.wind_turbine_hub_height = 2.0
return True
IMPROVEMENTS = [
("E", 0.45, apply_low_energy_lighting),
("N", 0.95, apply_solar_hot_water),
("U", 0.95, apply_pv),
("V", 0.95, apply_wind),
]
def apply_previous_improvements(base, target, previous):
for improvement in previous:
name, min_val, improve = [improve for improve in IMPROVEMENTS if improve[0] == improvement.tag][0]
improve(base, target)
improve(base, target)
[docs]def run_improvements(dwelling):
"""
Need to run the dwelling twice: once with pcdf fuel prices to
get cost change, once with normal SAP fuel prices to get change
in SAP rating
:param dwelling:
:return:
"""
base_dwelling_pcdf_prices = DwellingResults(dwelling)
# print('478: ', dwelling.get('hw_cylinder_volume'))
# print('479: ', base_dwelling_pcdf_prices.get('hw_cylinder_volume'))
base_dwelling_pcdf_prices.reduced_gains = False
base_dwelling_pcdf_prices.use_pcdf_fuel_prices = True
lookup_sap_tables(base_dwelling_pcdf_prices)
worksheet.perform_full_calc(base_dwelling_pcdf_prices)
worksheet.sap(base_dwelling_pcdf_prices)
dwelling.improvement_results = ImprovementResults()
base_cost = base_dwelling_pcdf_prices.fuel_cost
base_sap = dwelling.sap_value
base_co2 = dwelling.emissions
# Now improve the dwelling
for name, min_improvement, improve in IMPROVEMENTS:
dwelling_pcdf_prices = DwellingResults(dwelling)
dwelling_pcdf_prices.reduced_gains = False
dwelling_pcdf_prices.use_pcdf_fuel_prices = True
dwelling_regular_prices = DwellingResults(dwelling)
dwelling_regular_prices.reduced_gains = False
dwelling_regular_prices.use_pcdf_fuel_prices = False
apply_previous_improvements(
base_dwelling_pcdf_prices,
dwelling_regular_prices,
dwelling.improvement_results.improvement_effects)
apply_previous_improvements(
base_dwelling_pcdf_prices,
dwelling_pcdf_prices,
dwelling.improvement_results.improvement_effects)
if not improve(base_dwelling_pcdf_prices, dwelling_pcdf_prices):
continue
improve(base_dwelling_pcdf_prices, dwelling_regular_prices)
lookup_sap_tables(dwelling_pcdf_prices)
worksheet.perform_full_calc(dwelling_pcdf_prices)
worksheet.sap(dwelling_pcdf_prices)
lookup_sap_tables(dwelling_regular_prices)
worksheet.perform_full_calc(dwelling_regular_prices)
worksheet.sap(dwelling_regular_prices)
sap_improvement = dwelling_regular_prices.sap_value - base_sap
if sap_improvement > min_improvement:
dwelling.improvement_results.add(ImprovementResult(
name,
sap_improvement,
dwelling_pcdf_prices.fuel_cost - base_cost,
dwelling_regular_prices.emissions - base_co2))
base_cost = dwelling_pcdf_prices.fuel_cost
base_sap = dwelling_regular_prices.sap_value
base_co2 = dwelling_regular_prices.emissions
improved_dwelling = DwellingResults(dwelling)
improved_dwelling.reduced_gains = False
improved_dwelling.use_pcdf_fuel_prices = False
for improvement in dwelling.improvement_results.improvement_effects:
name, min_val, improve = [x for x in IMPROVEMENTS if x[0] == improvement.tag][0]
improve(base_dwelling_pcdf_prices, improved_dwelling)
lookup_sap_tables(improved_dwelling)
worksheet.perform_full_calc(improved_dwelling)
worksheet.sap(improved_dwelling)
dwelling.report.build_report()
# print improved_dwelling.report.print_report()
dwelling.improved_results = improved_dwelling.results
class ImprovementResult:
def __init__(self, tag, sap_change, cost_change, co2_change):
self.tag = tag
self.sap_change = sap_change
self.co2_change = co2_change
self.cost_change = cost_change
class ImprovementResults:
def __init__(self):
self.improvement_effects = []
def add(self, i):
self.improvement_effects.append(i)


DV online bank is a functional product based on React and Java language poject. The app is designed by React Material Framework in front-end. Java Spring boot and MongoDB are used to manage data and create API end points.
This project was to design and develop an online back application which
cooprated with CGI company. I was one front-end developer in 4 persons team.
The app was used for loging in a customer's account and displaying the money of
serval accounts, accounts' details. The customer can transfer money from any two accounts and
pay credit payment at the same time. All data were displayed by API endpoints.
I was mainly responsible for designing and developing login page, account summary,
details and credit payment pages using Material React. I also display all accounts details
and transaction information, credit payment funtion using API endpoints.
The website video link is DV Bank App
Code technologies I got involved with while working on this project.


Do you fancy a job at Nottinghamshire Police? These roles are up for grabs
Constable, sergeant and inspector jobs are being advertised
by Matt JarramEver thought about a career at Nottinghamshire Police?
Well, now is your chance, as a number of jobs at the force are up for grabs.
The roles range from just under £20,000 to £55,000 and the jobs include police officers and inspectors, as well as clerical positions.
The first roles up for grabs are for serving police officers - constables, sergeants and inspectors to transfer to Nottinghamshire Police .
Roles in fraud, financial investigations, cyber crime and public protection are available.
There is also a chance to join the firearms, dog handling and road policing unit.
Positions range from £24,177 to £55,767.
The police are also looking for a clerical assistant at the police headquarters in Sherwood Lodge and an information request administrator.
The force also wants to recruit a commercial officer and a volunteer cadet leader who will deliver the cadet scheme for Nottinghamshire Police.
Police Cadets are young men and women who volunteer their time to learn about modern day policing and take part in community-focused initiatives.
If you fancy applying for the force, visit the Nottinghamshire Police website.


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Package com.jme.renderer
Class Statistics
- java.lang.Object
-
- com.jme.renderer.Statistics
-
public class Statistics extends java.lang.Object
The statistics class allows tracking of real-time rendering statistics.The
Statistics
can be retrieved by usingRenderer.getStatistics()
.- Author:
- Kirill Vainer
-
-
Field Summary
Fields Modifier and Type Field Description protected boolean
enabled
protected IntMap<java.lang.Void>
fbosUsed
protected int
lastShader
protected int
memoryFrameBuffers
protected int
memoryShaders
protected int
memoryTextures
protected int
numFboSwitches
protected int
numObjects
protected int
numShaderSwitches
protected int
numTextureBinds
protected int
numTriangles
protected int
numUniformsSet
protected int
numVertices
protected IntMap<java.lang.Void>
shadersUsed
protected IntMap<java.lang.Void>
texturesUsed
-
Constructor Summary
Constructors Constructor Description Statistics()
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
clearFrame()
Clears all frame-specific statistics such as objects used per frame.void
clearMemory()
Called when video memory is cleared.void
getData(int[] data)
Retrieves the statistics data into the given array.java.lang.String[]
getLabels()
Returns a list of labels corresponding to each statistic.boolean
isEnabled()
void
onDeleteFrameBuffer()
Called by the Renderer when it deletes a framebuffervoid
onDeleteShader()
Called by the Renderer when it deletes a shadervoid
onDeleteTexture()
Called by the Renderer when it deletes a texturevoid
onFrameBufferUse(FrameBuffer fb, boolean wasSwitched)
Called by the Renderer when a framebuffer has been set.void
onMeshDrawn(Mesh mesh, int lod)
Called by the Renderer when a mesh has been drawn.void
onMeshDrawn(Mesh mesh, int lod, int count)
Called by the Renderer when a mesh has been drawn.void
onNewFrameBuffer()
Called by the Renderer when it creates a new framebuffervoid
onNewShader()
Called by the Renderer when it creates a new shadervoid
onNewTexture()
Called by the Renderer when it creates a new texturevoid
onShaderUse(Shader shader, boolean wasSwitched)
Called by the Renderer when a shader has been utilized.void
onTextureUse(Image image, boolean wasSwitched)
Called by the Renderer when a texture has been set.void
onUniformSet()
Called by the Renderer when a uniform was set.void
setEnabled(boolean f)
-
-
-
Field Detail
-
enabled
protected boolean enabled
-
numObjects
protected int numObjects
-
numTriangles
protected int numTriangles
-
numVertices
protected int numVertices
-
numShaderSwitches
protected int numShaderSwitches
-
numTextureBinds
protected int numTextureBinds
-
numFboSwitches
protected int numFboSwitches
-
numUniformsSet
protected int numUniformsSet
-
memoryShaders
protected int memoryShaders
-
memoryFrameBuffers
protected int memoryFrameBuffers
-
memoryTextures
protected int memoryTextures
-
shadersUsed
protected IntMap<java.lang.Void> shadersUsed
-
texturesUsed
protected IntMap<java.lang.Void> texturesUsed
-
fbosUsed
protected IntMap<java.lang.Void> fbosUsed
-
lastShader
protected int lastShader
-
-
Method Detail
-
getLabels
public java.lang.String[] getLabels()
Returns a list of labels corresponding to each statistic.- Returns:
- a list of labels corresponding to each statistic.
- See Also:
getData(int[])
-
getData
public void getData(int[] data)
Retrieves the statistics data into the given array. The array should be as large as the array given ingetLabels()
.- Parameters:
data
- The data array to write to
-
onMeshDrawn
public void onMeshDrawn(Mesh mesh, int lod, int count)
Called by the Renderer when a mesh has been drawn.
-
onMeshDrawn
public void onMeshDrawn(Mesh mesh, int lod)
Called by the Renderer when a mesh has been drawn.
-
onShaderUse
public void onShaderUse(Shader shader, boolean wasSwitched)
Called by the Renderer when a shader has been utilized.- Parameters:
shader
- The shader that was usedwasSwitched
- If true, the shader has required a state switch
-
onUniformSet
public void onUniformSet()
Called by the Renderer when a uniform was set.
-
onTextureUse
public void onTextureUse(Image image, boolean wasSwitched)
Called by the Renderer when a texture has been set.- Parameters:
image
- The image that was setwasSwitched
- If true, the texture has required a state switch
-
onFrameBufferUse
public void onFrameBufferUse(FrameBuffer fb, boolean wasSwitched)
Called by the Renderer when a framebuffer has been set.- Parameters:
fb
- The framebuffer that was setwasSwitched
- If true, the framebuffer required a state switch
-
clearFrame
public void clearFrame()
Clears all frame-specific statistics such as objects used per frame.
-
onNewShader
public void onNewShader()
Called by the Renderer when it creates a new shader
-
onNewTexture
public void onNewTexture()
Called by the Renderer when it creates a new texture
-
onNewFrameBuffer
public void onNewFrameBuffer()
Called by the Renderer when it creates a new framebuffer
-
onDeleteShader
public void onDeleteShader()
Called by the Renderer when it deletes a shader
-
onDeleteTexture
public void onDeleteTexture()
Called by the Renderer when it deletes a texture
-
onDeleteFrameBuffer
public void onDeleteFrameBuffer()
Called by the Renderer when it deletes a framebuffer
-
clearMemory
public void clearMemory()
Called when video memory is cleared.
-
setEnabled
public void setEnabled(boolean f)
-
isEnabled
public boolean isEnabled()
-
-


- genKey(int) - Static method in class
com.ultimatex.textcrypto.AES
-
Generate secret key object from given key size in bit length.
- genKeyPair(int) - Static method
in class com.ultimatex.textcrypto.RSA
-
Generate KeyPair object to given key size in bit length.
- getAlgorithm() - Static method in
class com.ultimatex.textcrypto.AES
-
- getAlgorithm() - Static method in
class com.ultimatex.textcrypto.RSA
-
Return the algorithm
- getDecryptedDataBase64(SecretKey, byte[])
- Static method in class com.ultimatex.textcrypto.AES
-
Get decrypted data as BASE64 string.
- getDecryptedDataBase64(SecretKey, String)
- Static method in class com.ultimatex.textcrypto.AES
-
Decrypt data from BASE64 encrypted string and return decrypted data as BASE64 string
- getEncryptedBase64String(PublicKey, String)
- Static method in class com.ultimatex.textcrypto.RSA
-
This function encrypt data form of BASE64 string and return encrypted data as BASE64
string
- getEncryptedBase64String(PublicKey, byte[])
- Static method in class com.ultimatex.textcrypto.RSA
-
Encrypt raw data and return encrypted data as BASE64 string
- getEncryptedDataBase64(SecretKey, byte[])
- Static method in class com.ultimatex.textcrypto.AES
-
Encrypt raw data and return encrypted data as BASE64 string
- getEncryptedDataBase64(SecretKey, String)
- Static method in class com.ultimatex.textcrypto.AES
-
This function encrypt data form of BASE64 string and return encrypted data as BASE64
string
- getPublicKey(byte[])
- Static method in class com.ultimatex.textcrypto.RSA
-
Get public key from X509 encoded data.
- getPublicKeyAsBase64Encoded(PublicKey)
- Static method in class com.ultimatex.textcrypto.RSA
-
Get public key as BASE64 string


Class of 99 returns to school for time capsule, and can't find it
No-one remembers where it was buried
by Neil ShawA group of ex-pupils who returned to their old school to retrieve a time capsule they buried 20 years ago were left baffled - because they forgot where they had put it.
Staff at Norwich Road Academy, Norfolk, have even dug holes across the site and used metal detectors in a bid to find the capsule.
Mum-of-two Hannah Hedingham, 33, organised a school reunion with her class from 1999 and had planned to open the time capsule as a group.
However, when they went to dig up the time capsule at Norwich Road Academy, Thetford, Norfolk, they realised they had no idea where they buried it.
Hannah said: "I'm quite adamant I know where it is but other people are also adamant they know where it is.
"The school has dug up a few holes where we have said: 'Yep it's definitely there', but we just can't find it."
Hannah says the capsule contains momentoes from 1999 including a VHS tape recording of some of them as teenagers speaking at the school.


How did the 'process over product' concept affect the way you tackled the site redesign and rebuild?
R
Read or watch chapter 2 of Search Inside Yourself, and reflect:
Q: What did you think about meditation before reading chapter 2? A: Essentially I had a pre-conception that it was more to do with emptying the mind, which isn't really true - more about redirecting it or learning to focus it.
Q: What new things have you learnt about meditation? A:
Fram`
Q:Did any of the suggested meditation techniques stand out to you? A:
W


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It's a place where you can help Irwin make better food.
Food good! AAAAAaaaa!
Food bad! AAAAAaaaa!
Food ok! AAAAAaaaa!


Unscramble
I am the enemy of all that is good and right. Five letters--that is the length of my name. Remove the first and evil I remain.


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KISS 💋 News Blog Install KISS Team Guidestones FAQ Community (NEW) Scrots Package System Testimonials Style Ports (non-x86-64) Software Contact Donate GitHub ->+-------------------------------------------------------+ | | | GET IN TOUCH | | | | * Feel free to contact me at any of the following: | | | | - IRC: #kisslinux at https://freenode.net | | - Reddit: https://reddit.com/r/kisslinux | | - Email<EMAIL_ADDRESS>| | - GitHub: https://github.com/kisslinux | | | | | +-------------------------------------------------------+The registered trademark Linux(R) is used pursuant to a sublicense from the Linux Foundation, the exclusive licensee of Linus Torvalds, owner of the mark on a worldwide basis. (C) Dylan Araps 2019-2020 View page source


--- title: Bedework Features menuTitle: Features menuRoot: About layout: default permalink: /about/features ---
Written completely in Java, Bedework is system independent. Currently it will compile and run in Java 1.5 or later.
Interoperability with other calendar systems and clients by way of standards compliance is a fundamental design goal of the Bedework system. At least the following standards are supported:
Bedework provides a full CalDAV server. It can be used with any CalDAV capable client and has been shown to work with Mozilla Lightning, the iPhone, Apple's iCal, Evolution, and others.
Bedework provides a full CardDAV server, and a CardDAV address book client is under development.
The Bedework web clients provide access to public events in guest mode and to public and personal events in authenticated mode. The clients are skinnable allowing a high degree of customization
Public events are displayed using "calendar suites" allowing multiple organizations to maintain thier own public views of events with whatever degree of visibility is appropriate. A Bedework public calendaring installation may have one or many calendar suites. A calendar suite provides a customized view of events, custom theming, and control over how events are tagged by event administrators.
Bedework provides a web client for personal and group calendaring including scheduling. Using CalDAV desktop clients, users can see a fully synchronized view of their personal and subscribed events between their desktop, mobile devices, and the web client.
Public event entry and maintenance is carried out through the administrative web client. The system supports three roles: Super Users control global system settings including user and calendar maintenance and the setup of calendar suites. Calendar Suite Owners can modify the settings of their calendar suite, and Event Administrators can add and edit events for their administrative group.
Bedework provides a web client for submitting events to a public queue. This allows members of your community who are not event administrators to suggest public events.
The web clients are XML and XSLT based allowing Bedework to be "skinned" for multiple clients and uses. For example, the quickstart comes with skins for producing production RSS, Javascript, and video feeds as well as HTML displays suitable for handheld devices.
The core of the calendar uses Hibernate for all database transactions giving support of many database systems and enterprise level performance and reliability. A number of caching schemes are implemented for Hibernate including clustered systems giving further options for improving availability.
Full CalDAV access control is available allowing the sharing of calendars and calendar entities based on authentication status and identity.
Support for scheduling of meetings including invitations and their responses is available. Caldav scheduling (still in draft) is also supported. Freebusy is supported and the busy time is displayed as attendee lists are built. In the near future it will be possible to carry out scheduling with other bedework systems though real-time protocols. Access control allows users to determine who may attempt to schedule meetings with them. Automatic responses to meeting requests is an option which can be used to enable simple resource scheduling by, for example, 'inviting' a resource to a meeting.
Events can be imported and exported in iCalendar (RFC2445) format. This provides an option for populating the calendar from external sources. A dump/restore utility provides a means to backup and restore xml data files.
Users may subscribe to calendars to which they have access, including public and personal calendars. For example they may subscribe to a class schedule, the theater calendar, or a calendar hosted by a friend or coworker.
In the near future users will be able to receive email notification of events in subscribed calendars.
The core system supports multiple calendars for users and for public events.
Internationalization is carried out by creating a new skin. The skin selected is based upon skin name and locale allowing a significant degree of multilanguage support in the client. Work is currently taking place to strengthen support for internationalization independent of Bedework skins.
RSS and Javascript feeds are implemented simply by applying a different skin to transform the data appropriately. Feeds can be filtered by category or a named CalDAV filter.
In the past Bedework has been shown to work as a JSR168 portlet in Jetspeed, uPortal and Liferay using the portal-struts bridge. This support us currently disabled.
Full timezone support is implemented. There is a set of system defined timezones based upon externally available sets of timezone definitions. In addition users are able to store their own timezone definitions.
Extensive recurring event support is available via CalDAV and the web clients.
Users may add public event references to their personal calendars. Event references can be annotated by the user.
Bedework uses a pluggable class implementation to determine group membership for authenticated users allowing organizations to implement a class which uses an external directory. The default class uses internal tables to maintain group membership. Different implementations can be used for administrative and personal use allowing the separation of any given users roles.
There is no authentication code in Bedework. Rather, Bedework behaves as a standard servlet. All authentication is carried out through external mechanisms. Standard container authentication (via tomcat or jboss) and filter based Yale CAS authentication have been shown to work.
It is possible to access an entire calendar with a single url. This can be used to subscribe to a bedework calendar from Google or Outlook. Bedework can also take advantage of the richness of CalDAV capable desktop clients.
Bedework is designed to conform to existing calendar standards. In particular:
The Bedework implementation team participates in the standards process as a member of CalConnect, the Calendaring and Scheduling Consortium, which is "focused on the interoperable exchange of calendaring and scheduling information between dissimilar programs, platforms, and technologies."
Interoperability with other calendar systems and clients by way of standards compliance is an important design goal of the Bedework system.


The <go-off-canvas>
component should be the only instance of the off canvas in the app.
To use the off canvas anywhere in the app, you must first add it to the app level. This should only be done once per application.
Import the GoOffCanvasModule
into the main app module.
Add the <go-off-canvas>
element to app.component.html
.
To make use of the off canvas in our component:
In the module that imports your component, import the
GoOffCanvasModule
and add the GoOffCanvasService
to the providers.
In the component that is telling the off canvas to open, import the
GoOffCanvasService
, and the
component that is being rendered inside the off canvas.
To open the off canvas, use the service to call
openOffCanvas
.
This method takes the component type (BasicTestComponent in our case),
the bindings for that component as an object,
and an optional offCanvasOptions
object with
the header property as a string.
Lastly, we need something to trigger that function.
In our case we will use a button that triggers the
openOffCanvas
method,
but it could be triggered by any event.
To render a large off canvas, add the size
option to the
offCanvasOptions
property when calling the
openOffCanvas
method.
To project content from the component being rendered in the off-canvas into the header (like a submit or
close button) wrap it in a go-off-canvas-header
component and it will
be rendered in the right side of the off-canvas header.
To render a full-width submit button at the bottom of the off-canvas, add a
go-off-canvas-submit-button
element anywhere within the template
of the component being rendered in the off-canvas.
The go-off-canvas-submit-button
component has the following bindings:


My mastery within programming:
C++ is my programming native tongue. I've read the most about it, been the most interested in it.
I have good experience using JavaScript for Minecraft.
I am comfortable with MySQL.
I learned Python as a beginner and have intermediate experience, it is currently my least liked language.
My proficiency outside of programming:
Swedish is my mother tongue, I have high level English speaking abilities.
I am creative, thoughtful, ambitious, dedicated,
I like having many things going on at once so that I can constantly shift my focus to keep my productivity high.
I have experience repairing computers and phones, I did it on my own time as a hobby. I have rescued too many laptops from certain death.
Why I learned programming:
I always liked creating my own things, whenever I use something I always wonder how I would do things differently.
I have always been interested in programming and have had small presence in custom development, but I started taking it more serious 2021, by self teaching myself, reading books and considering to pursue a education within Computer Science.
My favorite parts about programming:
Learning new things!
Testing/Debugging, resolving issues.
Be apart of a team and working together to solve a tremendous task.
Books I have read (and you should too!):
Development:
Programming Principles and Practice Using C++ by Bjarne Stroustrup.
CSS The Definitive Guide, 4th Edition by Eric A. Meyer, Estelle Weyl.
Entertainment:
Game of Thrones
Never Let Me Go
The Hound of Baskerville
My favorite games:
Counter-Strike
Minecraft
World of Warcraft


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Hello, this is the backend for gitgub-to-lametric app.
Please go to https://github.com/nicolgit/github-to-lametric for the source code and any further information!
sample call /useractivity/?username=nicolgit&last=15
sample call /commit/?repository=nicolgit\zero-clock&branch=main&last=15&displayname=Nicola


Schtromm.github.io
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Solution: Pathria 2.7: Derive (i) an asymptotic expression for the number of ways in which a given energy E can be distributed among a set of N one-dimensional harmonic oscillators, the energy eigenvalues of the oscillators being ; n = 0, 1, 2, , and (ii) the corresponding expression for the “volume” of the relevant region of the phase. Fulfillment by Amazon (FBA) is a service we offer sellers that lets them store their products in Amazon's fulfillment centers, and we directly pack, ship, and provide.
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--- layout: post date: 2012-03-14 time: "09:00:00" authors: ["Greg Wilson"] title: Ask the CompuScienceGeek? tags: ["Community"] ---
Titus Brown recently blogged a question about how to organize the files used in a computational science pipeline: by project, by paper, separately, or something else. Rather than answering that, I fastened onto a throw-away comment:
I think we need an "ask the compusciencegeek" service...
My earlier idea of having a reserved area on Stack Overflow for novice questions didn't lead anywhere, but I've enjoyed the Software Sustainability Institute's "Ask Steve" column. Should we start something similar here? Or direct people at Steve, and syndicate his answers here? What questions do you have about using computers in your research that we could answer?


[gecode-users] rtest_eq_dom doesnt lead to RT_TRUE !?!?!
Guido Tack
tack at ps.uni-sb.de
Thu Jun 8 14:11:51 CEST 2006
Sorry, I didn't read carefully enough.
In your case, rtest_eq_dom shouldn't return RT_TRUE but RT_FALSE (because of
IRT_NQ). This is indeed a bug, thanks a lot for the hint! I have fixed it in
the trunk.
Cheers,
Guido
> ok... i see, the costs for "normal" domain propagation is high. but if i
> m right you are using several special cases during propagation too.
>
> also there exists already the function
> rtest_eq_dom(View x, int n)
>
> so why isnt it used for the special case that one of the variables is
> bound in the rtest_eq_dom(View x, View y) function? this would directly
> handle the problem using the fast bound or range handling.
>
> Thanks,
> Martin
--
Guido Tack
Programming Systems Lab, Saarland University, Germany
http://www.ps.uni-sb.de/~tack
More information about the gecode-users
mailing list


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1. What is MultithreadedTC?
MultithreadedTC is a framework for testing concurrent applications. It features a metronome that is used to provide fine control over the sequence of activities in multiple threads.
(OK I think I get it. Take me straight to some examples.)
Many failures in concurrent applications are not deterministic. They do not occur every time the application is run. Different interleavings of application threads yield different behaviors.
Concurrent application designers often want to run many (unrelated or loosely related) threads of activity to maximize throughput. Sometimes it is useful for test designers to mimic this style and run multiple threads, generating as many interleavings as possible. Many test frameworks support this paradigm (e.g. IBM's ConTest, GroboUtils' MultiThreadedTestRunner, and JUnit's ActiveTestSuite).
MultithreadedTC is different. It supports test cases that exercise a specific interleaving of threads. This is motivated by the principle that concurrent applications should be built using small concurrent abstractions such as bounded buffers, semaphores and latches. Separating the concurrency logic from the rest of the application logic in this way makes it easier to understand and test concurrent applications. Since these abstractions are small, it should be possible to deterministically test every (significant) interleaving in separate tests.
But how can one guarantee a specific interleaving of different threads in the
presence of blocking and timing issues? Consider the following example of some operations
on a bounded blocking buffer (e.g. ArrayBlockingQueue
) with capacity 1:
We want a test to confirm that put 17
causes Thread 1 to block until
take 42
occurs in Thread 2. The
test must guarantee that take 42
is not executed until
after put 17
. How could a designer guarantee this interleaving of
the two threads?
One approach is to use Thread.sleep()
in Thread 2 to delay its first
statement long enough to "guarantee" that Thread 1 has blocked. But this
approach makes the test timing-dependent ― timing can be thrown off by, say, an
ill-timed garbage collector. This also does not work well when stepping through
the code in a debugger.
Another common approach for coordinating activities in two threads is to use
a CountDownLatch.
A CountDownLatch
will not work in this example as illustrated
by the following pseudocode:
| Initialization | |
ArrayBlockingQueue buf = new ArrayBlockingQueue(1);
|
|
| Thread 1 | Thread 2 |
buf.put(42);
|
c.await();
|
Of course the problem is that the statement c.countDown()
cannot be executed
until after Thread 1 unblocks... which will not occur until Thread 2 take()
s. In
other words, this test is deadlocked!
MultithreadedTC provides an elegant solution to this problem, illustrated in the following example:
class MTCBoundedBufferTest extends MultithreadedTestCase { |
| This example is illustrated by the following diagram: |
Multithreaded has an internal metronome (or clock). But don't try and use it to set the tempo for your jazz band. The clock only advances to the next tick when all threads are blocked.
The clock starts at tick 0. In this example, the statement waitForTick(1)
makes Thread 2 block until the clock reaches tick 1 before resuming.
Thread 1 is allowed to run freely in tick 0, until it blocks on the call to put(17)
.
At this point, all threads are blocked, and the clock can advance to the next
tick.
In tick 1, the statement take(42)
in Thread 2 is executed, and this frees up Thread
1. The final statement in Thread 1 asserts that the clock is in tick 1, in
effect asserting that the thread blocked on the call to put(17)
.
This approach does not deadlock like the CountDownLatch
, and is more reliable
than Thread.sleep()
. Some other high level observations are:
- The test is encapsulated in a class that extends
MultithreadedTestCase
. Each of the threads is represented by a method whose name starts with "thread
", returnsvoid,
and has no arguments. Theinitialize()
method is invoked first; then the thread methods are invoked simultaneously in different threads; finally thefinish()
method is invoked when all threads have completed. - This test can be run using the following JUnit test:
This creates an instance of the test class and passes it to the
public void testMTCBoundedBuffer() throws Throwable {
TestFramework.runOnce( new MTCBoundedBufferTest() );
}TestFramework
. TheTestFramework
creates the necessary threads, manages the metronome, and runs the test. - All the components of the test are represented using classes and methods, constructs that are recognizable to Java programmers.
- The framework handles exceptions thrown by any of the threads, and propagates them up to JUnit. This solves a problem with anonymous Threads, whose exceptions are not detected by JUnit without some extra scaffolding provided by the test designer. (See Examples 2 to 4).
- The clock is not necessarily incremented by units of one. When all threads
are blocked it advances to the next requested tick specified by a
waitForTick()
method. If none of the threads are waiting for a tick, the test is declared to be in deadlock (unless one of the threads is in stateTIMED_WAITING
).
2. So how does this work?
The class TestFramework
, provides most of the scaffolding required to run
MultithreadedTC tests. It uses reflection to identify all relevant methods in
the test class, invokes them simultaneously in different threads. It regulates
these threads using a separate clock thread.
The clock thread checks periodically to see if all threads are blocked. If
all threads are blocked and at least one is waiting for a tick, the clock thread
advances the clock to the next desired tick. The clock thread also detects
deadlock (when all threads are blocked, none are waiting for a tick, and none
are in state TIMED_WAITING
), and can stop a test that is going on too long (a
thread is in state RUNNABLE
for too long.)
The test threads are placed into a new thread group, and any threads created by these test cases will be placed in this thread group by default. All threads in the thread group will be considered by the clock thread when deciding whether to advance the clock, declare a deadlock, or stop a long-running test.
3. Cool! How do I use this?
MultithreadedTC tests are created by extending one of two classes:
- class
MultithreadedTestCase
extendsjunit.framework.Assert
and provides the base functionality required by all tests. (NOTE:MultithreadedTestCase
does NOT extendjunit.framework.TestCase
). A test using this class consists of:- an optional
initialize()
method, - one or more "thread" methods which are invoked in different threads,
- an optional
finish()
method that is run after all threads have completed.
MultithreadedTestCase
subclass, an additional JUnit test method is used to call one of the "run" methods inTestFramework
. The run methods receive an instance of aMultithreadedTestCase
and test it in different ways. The primary run methods are:runOnce(MultithreadedTestCase)
-- run a test sequence once,runManyTimes(MultithreadedTestCase, int)
-- run a test sequence as many times as specified by theint
parameter, until one of the test runs fails.
- an optional
- class
MultithreadedTest
extendsMultithreadedTestCase
and implementsjunit.framework.Test
. So it can be added to ajunit.framework.TestSuite
and run directly.
This class includes arunTest()
method that calls:TestFramework.runOnce(this)
. To change the way a test is run, override therunTest()
method.
(MultithreadedTC provides a convencience method:TestFramework.buildTestSuite(...)
, that looks for inner-classes that implementjunit.framework.Test
and builds aTestSuite
out of these classes.)
4. Some Examples of Test Cases
Example 1: Compare And Set
Here is a simple example to demonstrate the basic layout of a MultithreadedTC test. In this example, one thread stays in a while loop until its condition is met due to an action in another thread. Both threads are started simultaneously.
Notice that in the MultithreadedTC version, the AtomicInteger
parameter is
initialized in the initialize()
method, not in a constructor. This is so that if
the test is run many times (with TestFramework.runManyTimes(...)
), a fresh
instance of AtomicInteger
is used each time.
This simple example demonstrates that MultithreadedTC takes care of much of the scaffolding work needed to set up and start a thread, and eliminates the need to join the thread before the test ends.
| MultithreadedTC Version |
class MTCCompareAndSet extends MultithreadedTest { |
| Plain Version |
public void testCompareAndSet() throws InterruptedException { |
Example 2: Interrupted Acquire
This example shows some of the strengths of MultithreadedTC. An acquire()
on
a Semaphore
in one thread is expected to block, and throw an
InterruptedException
when interrupted by another thread.
The MultithreadedTC version can assert that the
InterruptedException
is not
thrown until tick 1, which is when Thread 1 is interrupted. (So an
implementation of acquire that unconditionally throws the exception may pass the
plain version but will not pass the MultithreadedTC version.)
waitForTick()
is used instead of Thread.sleep()
to eliminate timing dependencies.
Notice also that an unchecked AssertionError
(caused by the
fail(...)
statement in Thread 1) will cause the test to kill all threads and fail
immediately. In the plain version, this failure kills the auxillary thread but
not the test. Some extra work is needed to set a flag indicating thread failure,
and assert the flag in JUnit's tearDown()
method.
| MultithreadedTC Version |
class MTCInterruptedAcquire extends MultithreadedTestCase { |
| Plain Version |
volatile boolean threadFailed; |
MultithreadedTC provides some convenience methods for getting access to a
thread. The call to getThread(n)
returns a reference to the thread running the
method threadn()
where n is an integer. The more general method,
getThreadByName("threadMethod")
returns a reference to the thread running the
method threadMethod().
So getThread(1)
is equivalent to
getThreadByName("thread1")
.
Example 3: Thread Ordering
Most of the time, waitForTick()
is used to wait until another thread blocks,
as in Example 2. Occasionally though, it is useful for coordinating two or more
threads that do not contain any blocking. This example shows that even though,
the same can be accomplished using CountDownLatch
s, the MultithreadedTC version
using waitForTick()
is easier to write and understand.
| MultithreadedTC Version |
class MTCThreadOrdering extends MultithreadedTestCase { |
| CountDownLatch version |
volatile boolean threadFailed; |
Example 4: Allowing Timeouts
Some concurrent abstractions rely on timing. An example is
the offer()
method on the ArrayBlockingQueue
,
which tries to add an element to the buffer and blocks for a
specified time limit if the buffer is full. If the offer()
times out, the method returns false
. This example
shows how waitForTick()
can interact with these
timing elements.
If the goal of the test is to cause a timeout in one thread,
we may want to prevent the clock from advancing in another
thread. MultithreadedTC provides the methods freezeClock()
and unfreezeClock()
, to respectively disable and
re-enable the clock thread. (The clock thread can still kill a
test that is running for too long when it is disabled.)
In this test, the first offer()
is allowed to timeout, the second
offer()
is interrupted. To guarantee that the
interrupt does not occur on the first offer()
, it uses
freezeClock()
to freeze the clock during the first offer. Thread 2 is
awakened when Thread 1 blocks on the second offer()
.
(Note that the timeout in the offer()
statement
should be much longer than the clock period (see
Javadoc) to ensure that the clock thread has a chance to
wake up.) Obviously tests like this that inherently include
timing do not play well in a debugger.
| MultithreadedTC Version |
class MTCTimedOffer extends MultithreadedTestCase { |
| Plain Version |
volatile boolean threadFailed; |


Hi,
Your order [{{ order_id }}] has been placed successfully.
Please find the invoice attached to this email.
Thank You,
Team Kart


|
Knight's Tour Generator
Tourneys and the Fast Generation and Obfuscation of Closed Knight's Tours
|
Hopfield network. More...
#include <NeuralNet.h>
Public Member Functions | |
| CNeuralNet (UINT n, int seed) | |
| Constructor. More... | |
| void | InsertNeuron (UINT i, UINT j) |
| Insert a neuron. More... | |
| Public Member Functions inherited from CGraph | |
| CGraph (const UINT n) | |
| Constructor. More... | |
| ~CGraph () | |
| Destructor. More... | |
| void | InsertEdge (const UINT i, const UINT j) |
| Insert an edge. More... | |
| UINT | BFSF (std::vector< UINT > &result) |
| Breadth-first spanning forest. More... | |
| void | PrintGraph () |
| Print the graph to a text file. More... | |
Additional Inherited Members | |
| Protected Attributes inherited from CGraph | |
| std::vector< CEdge * > | m_vEdgeList |
| Edge list. | |
| UINT | m_nNumEdges = 0 |
| Number of edges. | |
| CVertex * | m_pVertexList = nullptr |
| Vertex list. | |
| UINT | m_nNumVerts = 0 |
| Number of vertices. | |
| std::queue< CVertex * > | m_qBFSQueue |
| Queue for breadth-first search. | |
| CRandom | m_cRandom |
| Random number generator. | |
A Hopfield network is a graph in which the edges represent neurons.
Definition at line 64 of file NeuralNet.h.
| CNeuralNet::CNeuralNet | ( | UINT | n, |
| int | seed | ||
| ) |
Allocate space for and initialize the vertex list by calling CGraph constructor to do the actual work.
| n | Number of vertices. |
| seed | PRNG seed. |
Definition at line 85 of file NeuralNet.cpp.
This is the equivalent of CGraph::InsertEdge for CNeuralNet. Insert a neuron between two vertices by appending an instance of CNeuron at the end of the edge list and appending the index of that neuron (which is the size of the edge list before insertion) to the incidence lists of the vertices. Self-edges and vertices out of range are ignored.
| i | The vertex at one end of the edge to be inserted. |
| j | The vertex at the other end of the edge to be inserted. |
Definition at line 99 of file NeuralNet.cpp.


|
Clawpack Documentation Version 5.0 --- Under Construction! Not yet accurate |
These pages describe a git and github workflow for the Clawpack project.
There are several different workflows here, for different ways of working with Clawpack.
This is not a comprehensive git reference, it’s just a workflow for our own project. It’s tailored to the github hosting service. You may well find better or quicker ways of getting stuff done with git, but these should get you started.
For general resources for learning git, see git resources.
Note
Clawpack is an “organization” on GitHub, which means that it is comprised of several distinct repositories. These pages can be used to manage any (or all) of the Clawpack repositories, and in this documentation the string REPOS should be replaced by the specific repository name, e.g. amrclaw, pyclaw, visclaw, etc.


--Retrieving information ,viewing a page is done by get request. Get request doesn't change the backend data
--With post request we can't see the data on url. With Post request we can update data and delete data etc..


Sarima
Service Designer
Design, Strat, and Stats
- Strategy
- Implementation
- Analysis
Updating a prototype at the click of a button would drastically help turn around time.
Sarima seeks to understand the needs of every stakeholder and design the system so that it meets stakeholder needs.
Sarima needs to conduct tests with users over USSD/SMS/chat on a mobile device. She needs the ability to easily update her prototype in the field and in co-design sessions. Making these updates via her mobile phone would be useful.
Sarima needs to see how users are moving through a flow and which screens are experiencing high drop-off rates. She needs to analyze the effect of changes she has made to the system flow and export data to Excel for further analysis and reporting.
Mark
Developer
Code Monkey
- System Health
- Implementation
I want to turn a complex specification document into a real world thing.
Mark needs to be able to create large, complex campaigns with branching paths, across multiple channels. He works for multiple clients, on multiple projects, so it's important that he can manage that. He'd like to be able to do this via an API.
He wants to create charts, so he needs to build up custom analytics. Occassionally he might need to do a in-country deploy of Vumi. He really needs to see performance stats: he needs to know if something's on fire.
Olana
Programme Manager
Project Manager
- Billing
- Strategy
- Analysis
- System Health
- Implementation
I want to use a web site to build a campaign and watch how it’s doing.
Olana wants to build and run multiple campaigns, over multiple channels. He needs to track the cost of the campaign, and to know when things go wrong, and why. He wants to see if a campaign is working as expected, and see if it's doing well.
For in-country deploys he wants to choose the Vumi components that he needs and just use those. :moonshot:
Mutoni
Student
Teenage learner
I want to find out what girls in the rest of the world are doing.
Mutoni is in her last year of primary school in Goma, Rwanda. She speaks Kinyarwanda, and understands some basic English.
She has her own SIM card, and uses it in her mother's feature phone when she's not looking. It has SMS and USSD capabilities, but no internet. She lives in a rural area and has limited or no access to basic services like banking.
Bugs in Vumi or applications using it that break the USSD campaign that Mutoni is using, or response times that are too long, mean that she will miss out on important, life-changing, information.
Variations
We also need to consider a range of ages, languages, genders, and education and literacy levels.


The bJou programming language is in the process of self-hosting its compiler. The language has reached a point of capability and stability that enables us to write complicated programs (like its own compiler) in it. This is a good opportunity to stress test the language and make sure its features, or lack thereof, feel like the right decisions.
Now, some people don't fully realize this, but computers are FAST, and so I want bJou's new compiler to be as fast as possible to provide the best experience for people who write code in bJou. The usual first step to writing a compiler is to implement the part responsible for reading source files, tokenizing their contents (also called lexing or scanning), and parsing the tokens to create an internal data structure that represents all of the little pieces that make up the structure of a user's program. This is also the time when the compiler does things like syntax checking. While parsing is rarely the speed bottleneck of compilers, I think it's important to take the time and effort to make every part of this new compiler as fast as I can make it.
With that said, I set this goal: a user should be able to run the parser on a million lines of code and have it checked for correct syntax in one second or less. To put that into perspective, on my machine (2013 MacBook Pro, 2.3GHz Intel i7, 16GB DDR3), clang parses roughly 50,000 LOC/s (lines of code per second), go fmt churns through about 200,000 LOC/s, and bJou's bootstrapping compiler parses ~300,000 LOC/s.
The rest of this post discusses some of the implementation techniques I used to achieve our goal (SPOILER ALERT: we end up doing way better than 1 million LOC/s).
bJou's bootstrapping compiler's parser is actually pretty fast, so I decided to mostly start with the same basic structure. We use a hand-written, recursive descent parser that uses a precedence climbing method for expressions. Additionally, there is no lexing phase -- tokenization is done in-line with parsing because the parser can generally be smarter about what kind of token to look for next. One major difference is that the bootstrapping compiler (written in C++) represents the Abstract Syntax Tree (AST) as nodes allocated on the heap with pointers to their children. It also relies heavily on runtime polymorphism. This new compiler takes a different approach and uses bJou's sum types (also called tagged/discriminated unions) instead of inherited interfaces. The advantage of this is that all nodes are now the same size and patching the AST becomes much easier. There may also be benefits related to prefetching, cache locality, and less fragmentation in the heap (although, this last point is less relevant later on). The type declaration for our AST type ends up looking something like this:
type ast = ( integerliteral | ifstmt | ...more node kinds here... | procdef )
So, let's look at the results for this first iteration. Some things to note when looking at this data:
175,000 LOC/s isn't bad, but we're far off from our goal. Parsing one file has no influence on the parsing behavior of another file, so we'll explore the inherent parallelism first.
Right now, we're parsing slower than the bootstrapping compiler, which won't do. The bootstrapping compiler uses threads to increase speed by launching parse threads in batches of N files or less where N is the number of available hardware threads. This is better than parsing the files in sequence, but there is a clear downside: if N - 1 of the files are tiny and the remaining file is large, the N - 1 threads will be sitting idle waiting for the huge file to finish. Our new compiler will do better by using what's called a thread pool. This will create N threads that will continuously pull jobs from a job queue and execute them. We'll use the threadpool.bjou bJou module:
using import "thread.bjou" using import "threadpool.bjou"And the basic process will look like this:
pool := threadpool.create(thread::hw_threads()) ... # When we encounter a file to parse: f := frontend::open_file(path, search_paths: true) p := async_parser.create(f) pool.add_task(async_parser_wrapper, p)
Using this method will ensure that all hardware threads are always busy churning away on files. Here are our new speeds:
Nice, over 2x speedup! Still not good enough though, not to mention that the 10 million line input size didn't benefit at all. There must be some bottleneck killing us somewhere.. Time to break out the profiler.
Profiling our parser using the million line input gives us a pretty flame graph that you can look at and explore here. As an exercise, look and see how many of the peaks end in calls to malloc. The answer is a lot. Now notice the really fat section at the end for a procedure called transfer_to_fe and how much time it's taking. Hmmm... Let's unpack what the profiler is telling us starting with malloc.
Using an allocator like malloc is a relatively expensive operation -- even more so when it results in a system call like sbrk or mmap. Unfortunately, our profile shows that we are doing this all the time. This makes sense though given how we've structured our parser. Every time we create a new node in the AST we allocate space for it and allocate the initial slab for the dynamic array that holds its children. Calling malloc no less than two times per new node is slowing us down substantially. To speed up our parser, we need to try to limit allocations as much as possible.
Now what about transfer_to_fe? transfer_to_fe is a procedure that the threaded parsers use to move all of the stuff that they've parsed over to the main AST in the front end (fe). The profile shows us that this procedure is taking a lot of time and that most of that time is spent in memmove (copying data). The slowness of this procedure compounds because this is one of the only places in the parsing code that uses a mutex to protect the main AST data structure. Put simply, if one thread is moving its data to the front end, no other thread can until it is done. If this copying process is taking a long time, that's bad news.
So now our priority is to limit the number of times we call malloc and make the parser-to-front-end transfer much faster. Enter, bucket_array!
bucket_array.bjou is a bJou module that gives us a generic data structure that we will use to fix some of our problems. At its heart, bucket_array is essentially a linked list of arrays, or "buckets". Each bucket is twice as big as the previous bucket. This data structure has the following interesting properties:
The results speak for themselves:
Our goal has been achieved (exceeded), but that's no reason to stop. We can and should do better.
Unsurprisingly, parsers do a lot of work on and with strings. bJou used to come with a basic string type that does most of the nice things you can do with std::string, for example. However, it was really not much more than a wrapper around a bJou dynamic array of char data. This was fine, but for a high-performance parser, the cost incurred by strings allocating dynamic arrays can start to have an impact.
So, I turned to a trick used by the libc++ std::string implementation: short string optimization, or SSO. The idea is to use the space that a string needs for bookkeeping to store short strings directly. Here's how:
A string will need to be at least 24 bytes large (on a 64 bit architecture) to be dynamically resized. This is broken down into a pointer to storage (8 bytes), a size field (8 byte integer), and a capacity field (8 byte integer). If you use only 1 byte to store the length of the string and one byte to store a zero byte at the end, that gives you 22 bytes left. So, you can store a short string (less than 23 bytes) directly in the string itself and avoid an allocation.
This is a pretty neat optimization and perfect for our parser because nearly all of the strings (tokens) that the parser operates on are short! Implementing this into bJou's string type gave us this speed boost:
4 million LOC/s is very very fast -- 4 times faster than our initial goal -- but speed isn't everything. Before we claim success, let's look at how our parser is using memory.
Since we're going to be obsessive about the new compiler's performance, I made it output some useful information that we might find relevant:
$ bjou -I src_10mil src_10mil/bjou.bjou --stats --stats-no-files Parsed 127 files: 2.619000s Front-end: 2.619000s Back-end: 0ms Grand Total: 2.619000s 12915132 lines of text @ 4931322 lines/s 10015203 lines of code @ 3824056 lines/s 221.0MB @ 84.4MB/s Max memory usage: 4.2GB
4.2 gigabytes of memory is used to parse our 10 million line input. While peak RSS numbers for compiling large projects with other compilers commonly get in the GB range, we're going to want to reduce this number if we can.
There is one area in the bootstrapping compiler that I believe can be improved and lower the memory usage for the new compiler. Specifically, we are going to try to optimize code generation for a special case of sum types.
bJou represents sum types like (string | int) by giving space enough for a 4 byte tag and the largest of the sub types. So,
$ bjou -I src_10mil src_10mil/bjou.bjou --stats --stats-no-files Parsed 127 files: 2.822000s Front-end: 2.822000s Back-end: 0ms Grand Total: 2.822000s 12915132 lines of text @ 4576588 lines/s 10015203 lines of code @ 3548973 lines/s 221.0MB @ 78.3MB/s Max memory usage: 2.7GB
Much better! And if we take a look at the speed results again, we don't see any significant performance difference:
Parsing a million lines of codes in a quarter of a second with minimal memory usage is a great start to the self-hosted bJou compiler. I look forward to seeing similar achievements in the near future with the rest of the compiler. Thanks for reading!


1972 – SALT I
SALT I, the first Strategic Arms Limitation Talk, consists of two major pieces. One is the Anti-Ballistic Missile Treaty, the other is the Interim Agreement and Protocol on Limitation of Strategic Offensive Weapons.
In the 60s, the Soviet Union began to increase their arsenal of ICBMs while also developing Anti-Ballistic Missile (ABM) systems. ABMs would allow one country to launch a first strike and limit the destructiveness of a retaliation. Soviet development of Anti-Ballistic Missile systems began in 1962/63, but construction was slow. Eight sites were planned, each with 16 interceptors, however by 1969/70 only 4 sites were open. Both countries wanted to limit the development of ABMs because ABMs would reduce effectiveness of deterrence if one or both sides could prevent missiles from exploding.
The ABM Treaty, signed in 1972, limited both the US and USSR to 2 ABM sites with a total of 200 interceptors. One of the sites could protect a national capital, the other could protect ICBMs. However, a protocol to the treaty, signed in 1974, limited each country to one ABM site. The USSR chose to protect Moscow. The US chose to protect an ICBM field near Grand Forks, North Dakota. On December 13, 2001 (just after 9/11), the US withdrew from treaty, effective 6 months later.
The Interim Agreement and Protocol on Limitation of Strategic Offensive Weapons is the second part of the SALT I talks. The Interim Agreement froze the number of ICBMs and SLBMs at the current level for 5 years until another agreement would be put in place. However, SALT I did not limit development of new weapons or MIRVs (multiple independently targetable reentry vehicle). A MIRV is one missile with multiple warheads – which makes the limitation of the number of ICBMs and SLMBs less important. The US Senate approved the ABM treaty on Aug. 3, 1972. Congress approved the Interim Agreement.


Connect.
Combine.
Code.
RE: IoT Initiatives Report: CA-483792-ZT
click to declassify
Mr. Supè Visera,
In response to your questions around how the timelines & budgets exceeded projections , I have an update. With this being the company’s first attempt at cloud-based IoT, really cloud in general, we ran into a number of unexpected issues. Our Senior Engineer was pulled over to configure the new cloud infrastructure, which has proven difficult and costly. The team has tried mightily to cover for his absence but lack his expertise and experience. Our IoT projects have stalled.
With costs all over the place, schedules getting missed, opportunities being blown and our team in disarray, I looked outward and I found a solution that can get us going in the right direction – IoT Ensemble.
I picked our junior newbie to investigate IoT Ensemble. He was able to set up a device right away. Showed in Standup how he signed up, checked out the emulated data capabilities, then enrolled one of our own devices. Got the connection string and got the telemetry flowing. We could see the data! He is in the process of taking that data right over to Power BI so we can get you a report before lunch. The best part - there was no coding involved!
With IoT Ensemble, we'll be able to connect any of our devices and get our data flowing to any output. We'll cut months off our timelines and be able to setup alerts, visualizations, machine learning and more in hours, not weeks. The competitive advantage for our IoT efforts is a game-changer.
Regards,
Proda C. Tohner
CLASSIFIED - FOR INTERNAL EYES ONLY – CLASSIFIED
Outgrown yet another SaaS solution?
Good news, we've got you covered!
IoT Ensemble offers a number of enterprise deployment options.
Device-to-Solution
Don't spend your time in the cloud.
Turn your device data into insights in minutes not weeks.


Cloud Stag
Welcome
Change password
Change public key
Sign Out
Hello, {{user}}!
The TCSA User Portal
Download plugin »
Installation Instructions
×
Installation Instructions:
Download the CloudStag extension for Google Chrome
In the address bar, type:
chrome://extensions/
Drag and the drop the CloudStag extension (CRX file) onto the Extensions page to install it
Confirm the installation and you're ready to go!
{% with messages = get_flashed_messages() %} {% if messages %}
{% for message in messages %} {{message}} {% endfor %}
{% endif %} {% endwith %}
Dropbox
{% if db_conn %}
STATUS:
Connected
Disconnect '{{db_conn}}' account
{% else %}
STATUS:
Not Connected
Connect your Dropbox account here!
{% endif %}
Google Drive
{% if gd_conn %}
STATUS:
Connected
Disconnect '{{gd_conn}}' account
{% else %}
STATUS:
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Connect your Google Drive account here!
{% endif %}
Coming soon!
Connect your (Service_Name) account here!


As always, we're working hard to squash bugs and make various improvements to Aurelia. We've had a number of minor and patch releases over the last week. Below you can read the details of what's been included in those releases.
Aurelia Validation
Aurelia Validation continues it's march towards beta. Today's release includes bug-fixes, usability improvements and a long requested feature: validate binding behavior support in custom attribute bindings. You can view the complete list of updates here .
Change Log
aurelia-templating 1.1.0 (2016-09-07)
Features
- controller: expose container ( 8af0372 )
aurelia-i18n 1.1.2 (2016-09-05)
Bug Fixes
- attribute: check for undefined controller ( 8c6e6bc )
- ts:* fix wrong type information ( c86cd3f ), closes /github.com/aurelia/i18n/issues/136#issuecomment-243419568
aurelia-ui-virtualization 1.0.0-beta.3.0.1 (2016-08-31)
Bug Fixes
- package.json: change package.json to properly define resources ( 4da877f )
- virtual-repeat: make infinite scroll work with initial small page size ( cb135a2 )
- virtual-repeat: make initially hidden elements display correctly ( 319cc59 )
- virtual-repeat: check for infinite-scroll attribute ( c779738 )
Code Refactoring
- all: rename
virtual-repeat-next
toinfinite-scroll-next
( b7ff555 )
Features
- virtual-repeat: allow use of
.call
onvirtual-repeat-next
( 2d1789b )
BREAKING CHANGES
- all: Renamed
virtual-repeat-next
toinfinite-scroll-next
to provide more meaning to the attribute.
aurelia-binding 1.0.4 (2016-09-07)
Bug Fixes
- StyleObserver: parse complex styles ( 044746f )
- typescript: fix doc generation and add missing classes ( 347ac4f )
- typings: remove TypeScript 2.0 syntax ( e9003ee )
- aurelia-binding.d.ts:* improve TypeScript definitions ( 604a6a9 )
Features
- observable: add propertyName argument ( e7825eb )
aurelia-anaimator-css 1.0.1 (2016-09-05)
Bug Fixes
- CssAnimator: clear event handlers when there's no animation ( 7683336 ), closes #47
- cssRules: add additional try/catch ( 4e21ea8 ), closes #40
aurelia-polyfills 1.1.0
Features
- Add polyfill for Reflect.ownKeys
aurelia-validation 0.12.3
Features
- RenderInstruction: add 'kind' property
- withMessage: provide access to getDisplayName
- ValidationParser: caching and warnings
- ValidateBindingBehavior: support custom attributes
- ValidationRules: add equals rule
Bug Fixes
- build: turn on declarations flag
- ValidationParser: parse arrow functions
Code Refactoring
- ValidateBindingBehavior: use controller.container API
aurelia-cli 0.19.0
Features
- add exit error code
- allow
exclude
option in bundle source


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WpfHowTo: A collection of helpful short articles - TechNet Articles - United States (English) - TechNet Wiki
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WpfHowTo: A collection of helpful short articles - TechNet Articles - United States (English) - TechNet Wiki
This page lists a collection of "How To" articles that have been created out of responses to a WPF questions on the
MSDN WPF Forum
.
Convert Controls to XAML and Parse XAML into Controls
Add a Debug/Output Console to your Application
Change DataGrid RowHeader Properties and/or Template When a Cell is Selected
Avoid binding error when removing a DataGrid row with RelativeSource (Static Bridge/Relay)
Create & Group Expanders - Just One Expanded (Accordian like) and Animate Open & Close
Concatinate strings into a single wrapping TextBlock (with wrapping on each word)
Make a Simple fast WPF mouse tail (or tracer stream)
Pass and use a Control in it's own ValueConverter for Convert/ConvertBack
More to come.
Feel free to add your own.


We designed LingSync from the ground up to be
user-friendly, but also to conform to EMELD and DataOne
best practices on formatting, archiving, open access, and security.
LingSync uses Unicode and XML, which are open standards,
and follows Leipzig glossing conventions
For more information, see the data management sections
of our
white paper.
We vow never to use your private data -- you can find
out more in our
privacy policy.
LingSync uses machine learning and computational
linguistics to adapt to your existing organization of the data you
import, and predict how to gloss it.
Add custom fields for extra transcription styles,
additional languages of translation, semantic representations, audio
timestamps, etc.
LingSync already supports import and export of many
common formats, including ELAN, Praat, Toolbox, FLEx, Filemaker Pro,
LaTeX, xml, csv and more, but if you have another format you'd like
to import or export, Contact
Us.
All our code is available on our
Github.
We use CouchDB and Javascript.
Power users can write and share scripts to clean up,
visualize, or mass-edit lots of data.
Click on a word to search the web.


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2020 Toyota Yaris GR-4 teased
Toyota is readying a new production Yaris hot hatch, following in the footsteps of the limited-run (and Europe-only) Yaris GRMN.
by Scott Collie- shares
Toyota is readying a rally-inspired hot hatch based on the 2020 Yaris – and the first prototype will be unveiled in Australia this month.
Based on the picture we have here, it's clear the GR-4 will be something fairly serious. The rear arches are seriously swollen, suggesting the performance Yaris will have a wider rear track than the standard car.
Given it's wrapped in the same camouflage as the GR Supra prototype we drove, it appears this will be a proper Toyota Gazoo Racing performance car.
The GR-4 name also offers a few hints as to what the high-performance Yaris has to offer. Previously, the GT4 and GT-Four badges have been used on rally-inspired Toyota road cars with all-wheel drive in the past, so there's a chance the Yaris will have the same.
Under the skin, the new Yaris (above) rides on a variation of the Toyota New Global Architecture (TNGA) chassis dubbed GA-B. It's lighter and stiffer than before, and the TNGA family has proven Toyota still knows how to make a car handle, so signs are good for the hot Yaris.
Toyota has also dipped its toe into the hot hatch waters recently, developing the limited-run Yaris GRMN (below) for Europe. Just 400 were built, powered by a 1.8-litre supercharged engine – and our reviews suggest it's a pretty handy thing.
The Yaris GR-4 will be unveiled at Rally Australia in Coffs Harbour, New South Wales. Stay tuned for more.
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2020 Toyota Yaris GR-4 teased


This page was created for those considering making the switch to Linux full time, who want to know what games in their library will go with them. Don't see your favourites listed? Don't worry, you still have options! Wine allows you to run many games using a Windows compatibility layer, and has a strong community willing to help. You can also create a gaming VM and run a Windows VM at near-native performance, if your hardware supports it. Finally, you could always dual boot, however it can be inconvenient.


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--- title: Stepper description: Used to inform users which step they are at in a form or a process layout: layout-sidenav category: general react-link: ?path=/docs/components-stepper--default-story github-link: true toc: true --- {% capture stepper-examples %}
Marker title
Marker title
Marker title
Within the stepper
Ensure that there is a min 32px horizontal spacing between dropdown item.
Ensure that there is a min of 4px vertical spacing between the marker icon and marker title.
Steppers should be used when:
Steppers should not be used when:
Keep marker title short and concise
Use labels that clearly indicate the purpose of the step and keep it as short as 1 to 2 words.
Logical ordering
Display the steps in order from left to right. Indicate to the user that they are performing a multistep process, and show the progress using the different states. Allow the user to return to a previous step to make ammendment.
Indicate the current step
Inform user of their current step within the process. This helps the user to know where they are in relation to where they have beem, and what sections are to follow. Use validation to confirm that a previous step has been completed.


In this demo we are playing with adding/removing items via adapter append, prepend and applyUpdates methods.
All changes have to be synced and stored on the back end.
For this purpose a special Server factory was introduced to emulate the remote.
Some public methods are implemented by this Server factory:
Follow the sources of the demo! The implementation of the Server factory is not so trivial, it is based on indexes variations. Also you may see that new items would not be appended (adapter.append()) to the viewport immediately if the EOF (end of file) is not reached. The same is true for prepend operation (adapter.prepend()): BOF (begin of file) must be reached, otherwise your new item will be rendered only after scrolling to the very top... This is important to build proper UI.


#include <windows.h>
#include <shellapi.h>
#include "TrayIconException.h"
Include dependency graph for TrayIcon.h:
This graph shows which files directly or indirectly include this file:
Go to the source code of this file.
Classes | |
| class | TrayIcon |
Defines | |
| #define | _WIN32_IE 0x0600 |
Definition in file TrayIcon.h.