ATAC requires AMX Mod X 1.76c or above with FakeMeta module enabled.
To install the mod, follow these directions:
Configuration is done 98% through atac.cfg file in amxmodx/configs/atac. The other 2% is done in the atac.inc file in amxmodx/scripting/include which just involves changing the defines at the top of the file. This is only required if your not happy with how many registered punishments/hooks are allowed.
| ATAC | ||
|---|---|---|
| Name | Information | Default Value |
| atac_disabled | Switches ATAC off or on | 0 |
| atac_menu | Switches punishment menu on or off | 1 |
| atac_menu_overwrite | Switches menu overwriting on or off | 0 |
| atac_show_punishment | Shows which punishment was selected | 1 |
| atac_immunity_flags | Sets the access level flags needed for a player to have immunity | a |
| atac_admins_immune | Sets admin immunity type: 0=OFF, 1=NO KICK/BAN, 2=ON (Admins require flag "a") | 1 |
| atac_tk_avoidance | Increases Team Killers TK's upon disconnect when trying to avoid punishment: 0=OFF, 1=ON | 1 |
| atac_store_kills | Switches storage of kills per map on or off | 1 |
| atac_tk_afterdeath | Sets to count a TA/TK when attacker/killer dies beforehand (ie grenades, or other projectiles) | 0 |
| atac_ban_type | Sets banning type: 0=OFF, 1=IP, 2=AUTHID, 3=AUTO-DETECT | 3 |
| atac_ban_time | Sets amount of time (minutes) you want to ban a user after their Team Kills have reached the limit (0=PERMANENT BAN) | 120 |
| atac_team_attacks | Sets amount of Team Attacks you want to be counted as a Team Kill (0=OFF) | 5 |
| atac_team_kills | Sets amount of Team Kills you want allowed before user is kicked/banned (0=OFF) | 3 |
| Punishments | ||
| atac_slap_amount | Sets how many slaps to give a killer [atac_slap plugin] | 10 |
| atac_slap_power | Sets how much health to take away from killer, for each slap [atac_slap plugin] | 5 |
| atac_jail_time | Sets the amount of time you want the killer jailed for, in seconds [atac_jail plugin] | 45 |
| atac_bomb_mode | Sets whether Time bomber can affect others: 0=Killer *ONLY*, 1=Killer can blow up others [atac_bomb plugin] | 0 |
| atac_bomb_range | Sets explosion range to kill others [atac_bomb plugin] | 1000 |
| atac_fire_mode | Sets whether killer who is on Fire can affect others: 0=Killer *ONLY*, 1=Killer can ignite others [atac_fire plugin] | 0 |
| Team Attack Addon [atac_ta plugin] | ||
| atac_slap_attacker | Sets slapping on attacker: 0=OFF, 1=ON (Note: no health is deducted) | 0 |
| atac_slayon_maxattacks | Sets slaying on maximum Team Attacks: 0=OFF, 1=ON | 0 |
| atac_health_restore | Sets health restoration on victim: 0=OFF, 1=ON | 0 |
| atac_mirror_damage | Sets mirror damage on attacker: 0=OFF, 1=ON | 0 |
| atac_noattack_within | Sets no Team Attack timelimit in seconds from beginning of spawn (0=OFF) | 5 |
| Hud Messages Addon [atac_hudmsg plugin] | ||
| atac_hudtext | Sets hud notification type: 0=HudText (Default), 1=SayText (Yellow), 2=SayText (Green), 3=SayText (Team Colour) | 0 |
| Server Commands | ||
|---|---|---|
| Command | Information | Version Implemented |
| atac |
off - disables ATAC on - enables ATAC version - displays ATAC version settings - displays ATAC settings players - displays all players team attacks/kills status punishments - displays punishments registered addons - displays addons registered credits - displays credits team - displays current development team |
3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 |
| Client Commands | ||
| say /atacstatus | Shows your Team Attack and Team Kill status | 3.0 |
| atac_addmetk | Allows admins to increment their own Team Kills, mainly used for testing purposes [atac_cmds plugin] | 3.0 |
| Natives | ||
|---|---|---|
| Command | Information | Version Implemented |
| atac_register_punishment() | Register a punishment returns -1 on failure. Allows hooking any forward from [Punishments] | 3.0 |
| atac_register_addon() | Register a addon returns -1 on failure. Allows hooking any forward from [Addons] | 3.0 |
| is_punishment_valid( index ) | Returns -1 on failure or plugin index if punishment is valid | 3.0 |
| get_maxpunishments() | Returns maximum amount of punishments registered | 3.0 |
| get_atac_attacks( id ) | Gets the amount of Team Attacks done by a player | 3.0 |
| set_atac_attacks( attacker, victim, amount=-1) | Sets the amount of Team Attacks done by a player | 3.0 |
| get_atac_kills( id ) | Gets the amount of Team Kills done by a player | 3.0 |
| set_atac_kills( killer, victim, amount=-1, special=-1 ) | Sets the amount of Team Kills done by a player. special -1 - No action, 0 - Simulate a real team kill longs the killer & victim teams match!, 1 - Fun Menu, 2+ - Activate a specific punishment |
3.0 |
| Forwards | ||
| atac_punishment_name( victim ) | Called when ATAC builds it's Team Kill Menu. You must return with EngFunc_AllocString! [Punishments] | 3.0 |
| atac_player_punish( killer, victim ) | Called when a punishment is chosen. [Punishments] | 3.0 |
| atac_player_reset( killer, victim ) | Called when a player dies and just before a player respawns. [Punishments] | 3.0 |
| atac_player_spawn( killer, victim ) | Called when a player (re)spawns. [Punishments] | 3.0 |
| atac_team_attack( attacker, victim, damage ) | Called when a team attack occurs. [Addons] | 3.0 |
| atac_team_kill( killer, victim ) | Called when a team kill occurs. [Addons] | 3.0 |
| atac_punished( killer, const name[], const authid[], bantype ) | Called when a team kill increment occurs. This forward can supercede ATAC's banning system by: return PLUGIN_HANDLED [Addons] |
3.0 |
| atac_punishment_activated( punishment_id, killer, victim ) | Called when a punishment activates. [Addons] | 3.0.1 |
Example Registering a Punishment:
#include <amxmodx> #include <fakemeta> #include <atac> #define PLUGIN "Some Name" #define VERSION "Some Number" #define AUTHOR "Some Name" public plugin_init() { register_plugin( PLUGIN, VERSION, AUTHOR ) atac_register_punishment() } public atac_punishment_name( id ) { // Setup menu text new text[ 64 ] formatex( text, 63, "%L", id, "SOME_MACRO" ) // You must do this, else ATAC won't decode your string return engfunc( EngFunc_AllocString, text ) } public atac_player_punish( killer, victim ) { // Saves duplicating data exec_punishment( killer ) // You don't have to return a hook but it saves catching events return ATAC_HOOK_RESET } public atac_player_spawn( killer, victim ) { // Saves duplicating data exec_punishment( killer ) // You don't have to return a hook but it saves catching events return ATAC_HOOK_RESET } public atac_player_reset( killer, victim ) { client_print( 0, print_chat, "Punishment ended for: %i", killer ) } exec_punishment(id) { client_print( 0, print_chat, "Executing punishment on: %i", id ) }
Example Registering Team Damage Attack:
#include <amxmodx> #include <atac> #define PLUGIN "Some Name" #define VERSION "Some Number" #define AUTHOR "Some Name" public plugin_init() { register_plugin( PLUGIN, VERSION, AUTHOR ) atac_register_addon() } public atac_team_attack( attacker, victim, damage ) { client_print( 0, print_chat, "Attacker: %i - Victim: %i - Damage: %i", attacker, victim, damage ) }
Adding support for external modifications is quite simple. All you need to do is this (Example):
set_pev( id, pev_dmg_inflictor, index ) // FakeMeta Module way set_pev( id, pev_health, value ) // Fun Module way set_user_health( id, value )
As soon as health is changed ATAC intercepts the call and checks whether its a team mate attacking.
MODs that enhance gameplay which allows for team mate attacking/killing would need to disable ATAC else it'll just spoil the MOD, here is how:
new atac_active atac_check() { atac_active = get_cvar_pointer( "atac_disabled" ) if ( !get_pcvar_num( atac_active ) ) server_cmd( "atac off" ) }
DO NOT ASK: any ATAC TEAM member to write direct support for your PLUGIN inside of ATAC itself, it will never happen since as of this version ATAC supports near enough any Half-Life 1 modification. Writing direct support for certain PLUGIN's is pointless since they mainly support only one particular MOD!
* Copyright © 2006-2008, ATAC Team
*
* ATAC (Advanced Team Attack Control) is free software;
* you can redistribute it and/or modify it under the terms of the
* GNU General Public License as published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with ATAC (Advanced Team Attack Control); if not, write to the
* Free Software Foundation, Inc., 59 Temple Place - Suite 330,
* Boston, MA 02111-1307, USA.
People who contributed/inspired ATAC are:
3.0.1: 28/03/08 Updated documentation, added Back to Top at the end of each section. Added missing cvars to the table. Fixed an issue with Jail punishment, where in rare instances you maynot spawn with any weapons. Added CVAR "atac_hudtext" to atac_hudmsg plugin as requested by Jay-izi. Allows using SayText, read addons.cfg for more details. Changed forward: "atac_punished(killer, const name[], const authid[])" to "atac_punished(killer, const name[], const authid[], bantype)". Added new forward "atac_punishment_activated(punishment_id, killer, victim)". Called when a punishment activates. Fixed punishments: atac_slap2one, atac_slap, and atac_slay. They shouldn't return ATAC_HOOK_RESET. Added CVAR "atac_tk_avoidance". Increase Team Killers TK's upon disconnect when trying to avoid punishment. Updated addon "atac_cmds" due to native changes. Changed native "set_atac_kills(killer, amount=-1, victim=0, item=0)" to "set_atac_kills(killer, victim, amount=-1, special=-1)". Changed native "set_atac_attacks(attacker, amount, victim=0)" to "set_atac_attacks(attacker, victim, amount=-1)". Added CVAR "atac_show_punishment". Allows you to see which punishment was selected. Updated addon "atac_cmds" so you can define your own access flags, see "atac_commands.cfg" for more details. Changed CVAR "atac_nocount_death" to "atac_tk_afterdeath". Fixed victim menu so if 2+ victims are looking at the same killer record, it now updates. Fixed victim menu so it auto-closes when the killer disconnects. Fixed punishments not being saved on disconnecting client if they were dead. Removed multi_print function, not required due to console_print. Changed register_clcmd and register_srvcmd into one register_concmd (Thx DevconeS for pointing this out). Added CVAR "atac_immunity_flags". Users can now specify the specific flags they want to have immunity. Updated the kick message for when a player is kicked or banned (not via AMXBans). Added the killer's current Team Kill count to the title of the punishment menu. Fixed possible menu exploit which a victim could expose. Updated Polish translation thanks to Sn!ff3r. Fixed multiple issues when a player reaches max Team Kills and the "kick" option is chosen. Minor change to atac_version CVAR so the version immediately changes upon map change. Added Portuguese - Brazil (pt) thanks to guilherme. Added Finnish (fi) thanks to Cofeiini. Added Romanian (ro) thanks to Nem0. Added Portuguese (bp) thanks to Arion. Fixed IP banning system. Fixed Polish translation thanks to zuk4u. Updated ATAC Timebomb to 1.1 which fixes potential double death icon bug. Updated ATAC Badaim to 1.1 which is now converted to FakeMeta scheme. Updated ATAC AMXBans to 1.1 which fixes possible incorrect banning procedure. 3.0: 04/10/07 Public Release for Series 3.


Flights
{% if latest_accommodation_list %}
Accommodations
{% for accommodation in latest_accommodation_list %}
- {{ accommodation.hotel_name }}
- Price: {{ accommodation.price }}
- Address: {{ accommodation.address }}
{% endfor %}
{% else %}
No accommodation is available.
{% endif %}
{% if latest_attraction_list %}
Attractions
{% else %}
No attraction is available.
{% endif %}


| Class | Description |
|---|---|
| CustomButton |
All button in this application should
inherit from it
|
| Field |
This is the components that displays the simulation
|
| LabelList |
class which handles the display of some informations
regarding the curent state of the field
the class has two JLabel
|
| MagnifyingGlassButton |
Button that open a little window that zoom on
a specific spot of the simulation
|
| MainFrame |
mother frame of the application
also the entry point i.e the main method is here
|
| PlayPauseButton |
Button to play or pause the simulation
|
| QuitButton |
Button to quit the application
|
| RandomInitializationButton |
button that initialize the simulation with probabilities given by the user
through dialog boxes
|
| ReinitializationButton |
the button to clear the field
|
| ResizePanel | |
| ZoomFrame |
This Frame zooms on a specific spot of the simulation
|
| ZoomPanel |
This is panel where the zoomed spot on the field is rendered
|


WELCOME TO BAIYT PROPERTY MANAGMENT SYSTEM
We are glad to share our innovative program with you!
more about the program


Commander, SHAEF: General Dwight D. Eisenhower
Commander, 21st Army Group: General Bernard Montgomery
Commander, First Army (United States): Lieutenant General Omar Bradley
The First Army contingent totalled approximately 73,000 men, including 15,600 from the airborne divisions.
Commander, Second Army (Britain and Canada): Lieutenant General Sir Miles Dempsey
Overall, the Second Army contingent consisted of 83,115 men, 61,715 of them British. The nominally British air and naval support units included a large number of personnel from Allied nations, including several RAF squadrons manned almost exclusively by overseas air crew. For example, the Australian contribution to the operation included a regular Royal Australian Air Force (RAAF) squadron, nine Article XV squadrons, and hundreds of personnel posted to RAF units and RN warships. The RAF supplied two-thirds of the aircraft involved in the invasion.
79th Armoured Division: Major General Percy Hobart provided specialised armoured vehicles which supported the landings on all beaches in Second Army's sector.
Through the London-based État-major des Forces Françaises de l'Intérieur (French Forces of the Interior), the British Special Operations Executive orchestrated a massive campaign of sabotage to be implemented by the French Resistance. The Allies developed four plans for the Resistance to execute on D-Day and the following days:
The resistance was alerted to carry out these tasks by messages personnels transmitted by the BBC's French service from London. Several hundred of these messages, which might be snatches of poetry, quotations from literature, or random sentences, were regularly transmitted, masking the few that were actually significant. In the weeks preceding the landings, lists of messages and their meanings were distributed to resistance groups. An increase in radio activity on 5 June was correctly interpreted by German intelligence to mean that an invasion was imminent or underway. However, because of the barrage of previous false warnings and misinformation, most units ignored the warning.
A 1965 report from the Counter-insurgency Information Analysis Center details the results of the French Resistance's sabotage efforts: "In the southeast, 52 locomotives were destroyed on 6 June and the railway line cut in more than 500 places. Normandy was isolated as of 7 June."
Naval operations for the invasion were described by historian Correlli Barnett as a "never surpassed masterpiece of planning". In overall command was British Admiral Sir Bertram Ramsay, who had served as Flag officer at Dover during the Dunkirk evacuation four years earlier. He had also been responsible for the naval planning of the invasion of North Africa in 1942, and one of the two fleets carrying troops for the invasion of Sicily the following year.
The invasion fleet was drawn from eight different navies, comprising 6,939 vessels: 1,213 warships, 4,126 landing craft of various types, 736 ancillary craft, and 864 merchant vessels. The majority of the fleet was supplied by the UK, which provided 892 warships and 3,261 landing craft. There were 195,700 naval personnel involved. The invasion fleet was split into the Western Naval Task Force (under Admiral Alan G Kirk) supporting the American sectors and the Eastern Naval Task Force (under Admiral Sir Philip Vian) in the British and Canadian sectors. Available to the fleet were five battleships, 20 cruisers, 65 destroyers, and two monitors. German ships in the area on D-Day included three torpedo boats, 29 fast attack craft, 36 R boats, and 36 minesweepers and patrol boats. The Germans also had several U-boats available, and all the approaches had been heavily mined.
At 05:10, four German torpedo boats reached the Eastern Task Force and launched fifteen torpedoes, sinking the Norwegian destroyer HNoMS Svenner off Sword beach but missing the battleships HMS Warspite and Ramillies. After attacking, the German vessels turned away and fled east into a smoke screen that had been laid by the RAF to shield the fleet from the long-range battery at Le Havre. Allied losses to mines included USS Corry off Utah and USS PC-1261, a 173-foot patrol craft. In addition, many landing craft were lost.
Bombing of Normandy began around midnight with more than 2,200 British, Canadian, and American bombers attacking targets along the coast and further inland. The coastal bombing attack was largely ineffective at Omaha, because low cloud cover made the assigned targets difficult to see. Concerned about inflicting casualties on their own troops, many bombers delayed their attacks too long and failed to hit the beach defences. The Germans had 570 aircraft stationed in Normandy and the Low Countries on D-Day, and another 964 in Germany.
Minesweepers began clearing channels for the invasion fleet shortly after midnight and finished just after dawn without encountering the enemy. The Western Task Force included the battleships Arkansas, Nevada, and Texas, plus eight cruisers, 28 destroyers, and one monitor. The Eastern Task Force included the battleships Ramillies and Warspite and the monitor Roberts, twelve cruisers, and thirty-seven destroyers. Naval bombardment of areas behind the beach commenced at 05:45, while it was still dark, with the gunners switching to pre-assigned targets on the beach as soon as it was light enough to see, at 05:50. Since troops were scheduled to land at Utah and Omaha starting at 06:30 (an hour earlier than the British beaches), these areas received only about 40 minutes of naval bombardment before the assault troops began to land on the shore.


--- id: 778 title: Blogging with org-mode! date: 2021-01-31T14:14:31+00:00 author: Tiago Espinha guid: http://tiagoespinha.info/?p=778 permalink: /2021/01/2021-01-21-blogging-with-org-mode/ categories: - tech - emacs ---
I've been meaning to come back to blogging more frequently, but the whole set up that the blog requires was putting me off.
Just as it happens, I've recently gotten into Emacs and the whole org-mode cult, and naturally, started trying to do everything on emacs :-).
One of the things I came across, was an approach to write Jekyll posts by using an org file to fill in the contents, which is exactly how this blog post was written.
Hopefully this will make it easier for me to come back to a more regular blogging cadence.
Time will tell!


These 10,000 propositions were generated by building a Markov Chain from the complete text of the Tractatus Logico-Philosophicus.


{% extends "base.html" %} {% block super_title %}H₂O Really?{% endblock %} {% block header %}
Water quality isn't something we tend to think about, except when furiously de-scaling the kettle or dishwasher, but it's really quite important.
For those of us on mains water, we just assume that water companies are adhering to regulations, and everything is fine. However, those using bore-holes and wells are always subject to ground water changes. Even when on mains water, there can be contamination, and this data isn't particularly visible, or updateable by the public.
H2O Really? is here to provide an open data service through which water quality can be recorded, monitored, and reported on by anyone, with any available technology. We want all types of water quality indicators to be recorded, but even if you can only test the pH or make a casual observation about the water quality around you, we want to know about it!


Discovery
Level 5 lifeform sighted!
These lifeforms have access to the multiverse and gain control over reality, they are sighted somewhere on earth.
click to learn more!
Diane Sojourn
Nobody knows the origin of this planet, totally unknown as it popped out of nowhere a few hours ago.
click to learn more!


Keras is a high level library for neural networks. Keras was designed to be modular fast and easy to use. It allows for easy and quick implementations of models.
Neural networks provide a way to predict future prices based on past prices. In order to accomplish this in Keras, we will need to create a Sequential model and train it with historical data. After our model has been trained, we can test its accuracy by comparing its predictions against historical prices. First, let's import the necessary dependencies and subscribe to SPY data.
from keras.models import Sequential from keras.layers import Dense, Flatten from keras.optimizers import RMSprop spy = qb.AddEquity("SPY")
Let's create a model that predicts the next percent change in closing price given 5 days of OHLCV data. We can make a history call for 360 days of data that we will use to both train and test our model.
spy_hist = qb.History(qb.Securities.Keys, 360, Resolution.Daily).loc['SPY'] # n_tsteps is the number of time steps at and before time t we want to use # to predict the close price at time t + 1 # in this case it is 5 n_tsteps = 5 # this helps normalizes the data df = data.pct_change()[1:] features = [] labels = [] # Format data into inputs/features and outputs/labels for i in range(len(df)-n_tsteps): input_data = df.iloc[i:i+n_tsteps].values features.append(input_data) label = df['close'].iloc[i+n_tsteps] labels.append(label) X, y = np.array(features), np.array(labels)
Now we can split our historical data into training and testing sets. We'll use the first 300 days of data to train our model and the remaining days to test our model.
# split data into training/testing sets X_train = X[:300] X_test = X[300:] y_train = y[:300] y_test = y[300:]
Next, we create our neural network model. The Keras Sequential model allows us to create a neural network layer by layer. We will use a neural network with 2 hidden layers and a flatten layer, which is required because our input data is 2-dimensional; i.e. there are 5 input days, each with OHLCV data. We'll use a mean-square error loss function with an RMSprop optimizer function.
model = Sequential([ # 5 input variables (OHLCV) by 5 time steps Dense(10, input_shape=(5,5), activation='relu'), Dense(10, activation='relu'), # Flatten layer required because input shape is 2D Flatten(), # since we are performing regression, we only need 1 output node Dense(1) ]) # Set loss function and optimizer model.compile(loss='mse', optimizer=RMSprop(0.001), metrics=['mae', 'mse'])
Keras allows for easy training using the model.fit(x_train, y_train, epochs)
method. This method iterates through our training set once for each epoch.
# Train model with training data model.fit(X_train, y_train, epochs=5)
Finally, let's visualize our neural networks accuracy by plotting its predictions alongside the historical prices changes. We can use model.predict(x_test)
to retrieve our model's predictions on the test set. Then we can format our predicted prices and actual historical changes in a dataframe, and plot that dataframe.
y_hat = model.predict(X_test) df = pd.DataFrame({'y': y_test.flatten(), 'y_hat': y_hat.flatten()}) df.plot(title='Model Performance: predicted vs actual %change in closing price')


Hello there, awesome person!
Here are my favourite sites on the internet
This is a link to Depop!
This is a link to Facebook!
This is a link to Amazon!


Condition | Shortcut Equivalent * == | is * != | Is not * variable != nil | Has any value * variable == nil | Does not have any value * .contains | contains * !contains | Does not contain * .beginsWith | Begins with * .endsWith | Ends with * < | Less than * <= | Less than or equal to * > | Greater than * >= | Greater than or equal to * .between numb1…numb2 | Between ## Syntax
if(<#Variable#> <#Condition#> <#Variable#>) {
•Actions•
}
if(name .contains "TestName") {
quicklook(name)
}


The following could not be found in the selected account/region/VPC and were removed:
Okay
Connections via each protocol/port will be permitted if they match the rules defined by the target tags and source filters above.


Level 1
Reset
Instructions: You start with two empty bins. You can move balls either to an empty bin or onto another ball of the same color. The goal is to sort all balls by color and end up with balls of a single color in each bin.


Editable Table
Add New
Tools
Print
Save as PDF
Export to Excel
First Name
Last Name
Points
Status
Edit
Delete
babson
milan
567
nothing
Edit
Delete
Waren
gufet
622
author
Edit
Delete


Objects are a virtual representation of real-time data; they allow us to organize our data into logical groups via properties and methods. Properties describe the state of the object, while methods describe the behavior of the object. Properties are a key-value pair that holds the information.
we could also access a property by putting the property name in square brackets similar to an array, but it is not popular.
The second way of creating an object is by using the curly braces.
JSON is text-based, lightweight, and a human-readable format for data exchange between clients and servers.JSON is derived from JavaScript and bears a close resemblance to JavaScript objects, but it is not dependent on JavaScript. JSON is language-independent, and support for the JSON data format is available in all the popular languages, some of which are C#, PHP, Java, C++, Python, and Ruby.
JSON can be used in web applications for data transfer. Prior to JSON, XML was considered to be the chosen data interchange format.
The following is an example in XML:
Let us take a look at the example in JSON:
A real-time feed will begin with a few thousands and go upwards. Another point to note is the amount of data that has to be generated by the server and then transmitted over the Internet is already big, and XML, as it is verbose, makes it bigger.
Given that we are in the age of mobile devices where smart phones and tablets are getting more and more popular by the day, transmitting such large volumes of data on a slower network causes slow page loads, hang ups, and poor user experience, thus driving the users away from the site.
In the first step, we are creating a JavaScript variable and initializing the variable with a JavaScript object. Similar to how we retrieve data from a JavaScript object, we use the key-value pair to retrieve the value.
JSON is a collection of key and value pairs, where every key is a reference to the memory location where the value is stored on the computer.
Now let us take a step back and analyze why we need JSON, if all we are doing is assigning JavaScript objects that are readily available. The answer is, JSON is a different format altogether, unlike JavaScript, which is a language.
JSON keys and values have to be enclosed in double quotes, if either are enclosed in single quotes, we will receive an error.
Since a JSON key is a string, we can use any valid string for a key. We can use spaces, special characters, and hyphens in our keys, which is not valid in a normal JavaScript object.
When we use special characters, hyphens, or spaces in our keys, we have to be careful while accessing them.
The reason the preceding JavaScript statement doesn't work is that JavaScript doesn't accept keys with special characters, hyphens, or strings.
So we have to retrieve the data using a method where we will handle the JSON object as an associative array with a string key.
Another difference between the two is that a JavaScript object can carry functions within, while a JSON object cannot carry any functions.
Finally, the biggest difference is that a JavaScript object was never intended to be a data interchange format, while the sole purpose of JSON was to use it as a data interchange format.
JSON supports six datatypes: strings, numbers, Booleans, arrays, objects, and null.
There are many other programming languages that provide implementations for JSON. Languages such as PHP, Python, C#, C++, and Java provide a very good support for the JSON data interchange format.
In real-world applications, JSON can be retrieved either as a response from an asynchronous request or from a JSON feed. A data feed is a crude way of supplying data so that others can reuse it to display the data on their websites or to ingest the data and run their algorithms on it. Such data feeds are big in size and cannot directly be embedded into the script tag.
To traverse through any JSON feed, it is important to make a note of how the data is arranged.
If our object is small and has one or two child objects, we would prefer using their numeric indexes to access them; in this case, as we have a huge number of child objects, it is not realistic to target objects based on static indexes.
To tackle an array of objects, we have to handle them in an iterative method. We will have to come up with an iterative solution in which we target one object at a time; once the object is accessed, we would not target that object another time.
This allows us to maintain data integrity as we can avoid accessing the same object multiple times, thereby avoiding any redundancies. The looping statements in JavaScript are the while loop and the for loop.
JSON retrieved from a JSON feed is always going to be read-only; as such data feeds do not provide functionality to modify their data from unverified sources.There are many cases where we would want to ingest the data from an external data feed, and then modify that content as per our requirements.
An example is a company that is using a data feed that is being supplied by a data vendor, but the data that is being provided is a lot more than the company requires. In such cases, rather than using the whole feed, the company would only extract a part of it, perform certain operations to modify it as per their requirements, and reuse the new JSON object.
AJAX is an asynchronous two-way communication between the browser that is considered to be the client, and a live web server via HTTP (or HTTPS).
This is the original way in which an AJAX call is made to a live web server
In the preceding snippet we are creating an instance of the XMLHttpRequest object. The XMLHttpRequest object lets us make asynchronous calls to the server, thus allowing us to treat sections in the page as separate components. It comes with powerful properties such as readystate, response, responseText, and methods such as open, onuploadprogress, onreadystatechange, and send
XMLHttpRequest, by default, opens up an asynchronous request; here we will specify the method in which the live feed has to be contacted. As we will not be passing any data, we choose the HTTP GET method to send the data over to our live web server. While working on an asynchronous request, we should never have a blocking script; we can deal with this by setting up callbacks. A callback is a set of scripts that will be waiting for a response and will be fired on receiving that response. This behavior facilitates non-blocking code.
The placeholder method, onreadystatechange, looks for a property in the request object called readyState; whenever the value of readyState changes, the onreadystatechange event is fired. The readyState property keeps track of the progress of the XMLHttpRequest that is made.
In the preceding screenshot, we can see the callback has a conditional statement that is verifying that the value of readyState is 4, meaning that the server has received the XMLHttpRequest that was made by the client and a response is ready.
Let's take a quick look at the available values for readyState:
we are also looking for another property called the status; this is the HTTP status code that is coming back from the server. Status code 200 represents a successful transaction, while status code 400 is a bad request and 404 means Page Not Found. Other common status codes are 401, which means the user has requested a page that is available only for authorized users, and 500, which is an Internal Server Error.


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Book Recommendations for Bookworms
This is a website for great books that I have read!
Call to Action!
There is no friend as loyal as a book - Ernest Hemingway
The Percy Jackson Series by Rick Riordon
>
Percy Jackson is what got me interested in reading! I highly recommend the entire series. Who was your favorite character?
The Harry Potter Series by JK Rowling
>
Harry Potter is a classic. If you love magic and adventure, this book is for you! It is also one of the rare cases where the movie is just as good as the book! What house do you belong in?
The Darkest Minds by Alexandra Bracken
>
This book is a little darker than the first two, but one of my favorites. It has everything! Magic, adventure, romance, and a road trip! What would be your PSI power?
The Mortal Instruments by Cassandra Clare
>
This series is amazing. It follows the life of girl named Clary who finds out that she is a Shadowhunter - a half human half angel hybred whose entire species is dedicated to killing demons. She meets a group of fellow Shadowhunters who together have to save the world. I highly recommend the entire series, there are even spin off's so you don't have to say goodbye to characters when you finish this particular story! Whose your favorite character? I like Clary.
A Court of Thorns and Roses by Sarah J Maas
>
This is a recent find and new favorite! It's honestly a diamond in the rough. This tells the story of a girl named Feyre who is kidnapped by a fae and forced to live in the fae world. There is an awesome love triangle and amazing character development. I love this story so much. If you like magic, romance, and adventure this book is for you! But be warned, there are only four books in the series but each book is long. Read at your own risk!
The Darkest Minds by Alexandra Bracken
>
This book is a little darker than the first two, but one of my favorites. It has everything! Magic, adventure, romance, and a road trip! What would be your PSI power?


General Bipin Rawat, PVSM, UYSM, AVSM, YSM, SM, VSM, ADC is the 26th Chief of Army Staff of the Indian Army. He assumed office on 31 December 2016 after retirement of General Dalbir Singh.
Bipin Rawat was born in Pauri Garhwal district, Uttarakhand, India.His family had been serving in the Indian Army for multiple generations, and his father was Lieutenant General Laxman Singh Rawat.Rawat attended Cambrian Hall School, Dehradun, St Edward’s School Shimla, National Defence Academy Khadakwasla and the Indian Military Academy, Dehradun, where he was awarded the 'Sword of Honour'. He is also a graduate of the Defence Services Staff College, Wellington and the Higher Command Course at Fort Leavenworth, United States. He has a MPhil in Defence Studies from Madras University, a Diploma in Management and another in Computer Studies. In 2011, he was awarded a Doctorate of Philosophy by Chaudhary Charan Singh University, Meerut for his research on military-media strategic studies.
Rawat was commissioned into the 5th battalion of 11 Gorkha Rifles on 16 December 1978, the same unit as his father.He has lots of experience in high altitude warfare and spent ten years conducting counter insurgency operations.[10] He commanded a company in Uri, Jammu and Kashmir, an infantry battalion in the Eastern sector along the Line of Actual Control at Kibithu, 5 Sector of Rashtriya Rifles (Sopore) as brigade commander, 19 Infantry Division (Uri), III Corps (Dimapur) and was General Officer Commanding-in-Chief (GOC-C) Southern Command (Pune). He also held staff assignments which included an instructional tenure at the Indian Military Academy (Dehradun), General Staff Officer Grade 2 at the Military Operations Directorate, logistics staff officer of a Re-organised Army Plains Infantry Division (RAPID) in central India, Colonel Military Secretary and Deputy Military Secretary in the Military Secretary’s Branch and Senior Instructor in the Junior Command Wing.
He also commanded MONUSCO (a multinational brigade in a Chapter VII mission in the Democratic Republic of the Congo) where he was twice awarded the Force Commander’s Commendation. During his career span of 37 years, he has been awarded for gallantry and distinguished service with the UYSM in 2013, AVSM, YSM, SM, VSM, COAS Commendation on two occasions and the Army Commander’s Commendation.
He is also the honorary General of Nepalese Army as It has been a tradition between the Indian and Nepali armies to confer the honorary top rank on each other's chiefs to signify their close and special military ties.
While commanding MONUSCO (a Multinational Brigade in a Chapter VII mission in the Democratic Republic of the Congo), Rawat had a truly outstanding tour. Within two weeks of deployment in the DRC, the Brigade faced a major offensive in the east which threatened not only the regional capital of North Kivu, Goma, but stability across the country as a whole. The situation demanded a rapid response and North Kivu Brigade was reinforced, where it was responsible for over 7,000 men and women, representing nearly half of the total MONUSCO force. Whilst simultaneously engaged in offensive kinetic operations against the CNDP and other armed groups, Rawat (then Brigadier) carried out tactical support to the Congolese Army (FARDC), sensitization programmes with the local population and detailed coordination to ensure that all were informed about the situation and worked together in prosecuting operations whilst trying to protect the vulnerable population.
his hectic period of operational tempo lasted a full four months and during this time Rawat, his headquarters and his international Brigade, were tested to the full, across the operational spectrum. His personal leadership, courage and experience were pivotal to the success that the Brigade achieved. Goma never fell, the East stabilized and the main armed group was motivated to the negotiating table and has since been integrated into the FARDC. He was also tasked to present the Revised Charter of Peace Enforcement to the Special Representatives of the Secretary General and Force Commanders of all the UN missions in a special conference at Wilton Park, London on 16 May 2009.
1. Ensure the highest standard of operational preparedness to meet present and emerging challenges.
2. Ensure force modernisation incorporating relevant contemporary technologies.
3. Make up critical deficiency of weapons and equipment at the earliest.
4. Develop requisite capacities and infrastructure with special emphasis on our Northern and NE Borders.
5. Enhance inter service jointmanship at all levels in letter and spirit.
6. Ensure the highest level of security consciousness amongst our rank and file.
7. Optimally enhance Human Resource Development to fully exploit the inherent strength of the Indian Army.
8. the quality of life and living conditions of all ranks with special emphasis on the soldier.
9. Foster an organisational climate based on mutual respect and camaraderie amongst all ranks.
10. Ensure requisite welfare measures for ex-servicemen and Veer Naris.
1. No Rape.
2. No Molestation.
3. No torture resulting in death or maiming.
4. No Military disgrace. (loss of arms, surrender, loss of post or imbibing of an un-army like culture).
5. No meddling in the Civil Administration (i.e. Land disputes or quarrels).
6. Competence in platoon/company tactics in counter insurgency operations.
7. Willingly carry out civic actions with innovations.
8. Develop media interaction modus. (Use it as a ‘force-multiplier’ and not as a ‘force-degrader’).
9. Respect Human rights.
10. Only fear God, Uphold Dharma (Ethical mode of life-the path of righteousness) and enjoy serving the country.


1 Chronicles 13:6
And David went up, and all Israel, to Baalah, that is, to Kirjathjearim, which belonged to Judah, to bring up thence the ark of God the LORD, that dwelleth between the cherubim, whose name is called on it.


STAND AND DELIVER A Film Review by Manavendra K. Thakur Copyright 1988 by Manavendra K. Thakur and The Tech. Reproduced with permission.
1988 105 mins. United States English Rated PG Mono Color 35mm/1.85
Cast: Edward James Olmos, Lou Diamond Phillips, Rosana de Soto, Vanessa Marquez, Virginia Paris, Carmen Argenziano, Mark Eliot, Will Gotay, Patrick Baca, Ingrid Oliu, Tyde Kierney, Bodie Olmos, Karla Montana, Daniel Villarreal, Michael Goldfinger, Michael Yama, Lydia Nicole, Graham Galloway, James Victor, Andy Garcia, Rif Hutton.
Credits: Director: Ramon Menendez. Producer: Tom Musca. Written by Ramon Menendez & Tom Musca. Executive Producer: Lindsay Law. Music by Craig Safan. Editor: Nancy Richardson. Director of Photography: Tom Richmond. Associate Producer: Iya Labunka. Art Director: Milo. Costume Designer: Kathryn Morrison. Supervising Sound Editor: Hamilton Sterling. Project Consultant: Kate Long.
Studio: An American Playhouse Theatrical Film of a Menendez/Musca & Olmos Production Distributor: Warner Bros. Inc. 4000 Warner Boulevard Burbank, CA 91522<PHONE_NUMBER>
The state of the American educational system has received much attention lately, most of it negative. STAND AND DELIVER, in contrast, is a film that tries to paint a positive picture of hope and inspiration. The film brings to the screen the story of Jaime Escalante, a high school teacher in East Los Angeles who managed to motivate and teach the intricacies of calculus to students who hardly knew remedial arithmetic. When he first arrived at Garfield High, he found gym instructors teaching basic math and the halls overrun by gangs and drug runners. The situation was so bad that the predominantly Latino school was in danger of losing its accreditation. But Escalante stayed and began to make a difference.
The film version has toned down the influence of the gangs, eliminated the use of armed guards during the Advanced Placement re-exam, and created composite characters from real students. But the film is otherwise quite faithful to the actual events. Edward James Olmos (Lt. Castillo in MIAMI VICE), who plays Escalante, spent 18 hours a day for a month with the real Escalante to observe his teaching methods and personal habits. [See accompanying article for an interview with Olmos.] Olmos' hard work pays off as he gives a rousing performance that carries the film past its weak first half. Fortunately, the film recovers its own feet before the end.
Americans love a success story, and the first half goes overboard trying to oblige. It introduces the characters and begins to show the unorthodox teaching methods of Escalante (like bringing a machete to class). This half of the film fails, though, to impart to the audience the magic that Escalante worked in his class because of choppy editing and faulty construction. In depicting the positive influence Escalante began to exert, the film glosses over how Escalante managed to calm the students down enough to listen to him in the first place. The way the film presents it, it seems that one day Escalante walked into chaos and by the next day had kids all lined up ready to learn. It may have happened that way in real life, but the film gives only glimpses into how Escalante achieved his remarkable successes.
For example, one gifted young girl named Ana (Vanessa Marquez) tells Escalante that she has to leave school in the middle of the year because her father wants her to help in their family-owned restaurant. Escalante visits the father (James Victor) in his restaurant to try and convince him to let Ana stay in the class. Far from succeeding, however, Escalante ends up arguing loudly with the father. The father soon decides to throw Escalante -- and any hope for Ana's continued education -- out of the restaurant. But lo and behold, the next day, there she is back in school ready to learn, with no sign of what caused her father's remarkable change of heart.
Another botched change-of-heart takes place with hotheaded gang member named Angel (Lou Diamond Phillips), who has letters written on the outer side of his fingers that read ``F-U-C-K Y-O-U'' when he brings his fists together. Dennis Hopper's recent film COLORS was not very good, but it did at least point out that one of the strongest reasons why youths join gangs is to feel a sense of belonging and identity. That film also vividly showed how the gang ethic demands retribution against members of other gangs and those who leave or betray the gang. These issues should be at the top of the list of any filmmaker who wants to show the success of a teacher in a gang-ridden high school.
But these issues are barely mentioned by STAND AND DELIVER. The scene where Angel walks away from his fellow gang members is simply that; the film makes no attempt to examine why Angel would now accept the value of an education when it is clear that he rejected it in the past when he joined the gang. Nor does the film delve into how Angel handles his ex-gang friends once he left the gang. The film introduces these concerns, juggles them like a hot potato, and then drops them without providing any illumination. It seems as though the filmmakers did not want to discuss these matters at all but had to to address them at least slightly to maintain a modicum of credibility.
These examples are typical of how all the first half of the film does is present the end results of Escalante's efforts. By not conveying any sense of how large the barriers the kids overcome really are, the film fails to humanize the students and comes dangerously close to robbing their triumph of its meaning and value to others who may be facing the same situation. As it stands, Escalante and his students seem to be working virtual miracles, and that leaves little room for the audience to identify or cheer for the characters, since they will win out anyway. For a film that wants to be inspirational, this can be quite fatal.
Fortunately for the film, the first half does succeed in setting the stage for the second half, which is where the real value of this film lies. The second part concerns the students' efforts to prepare for and take the Advanced Placement calculus exam, which no student had previously tried in the history of Garfield High. The Educational Testing Service (ETS), which administers the tests, discovers that a number of the students made the same mistake on the test and therefore opened an investigation into possible cheating. Realizing that their scores will be voided is the biggest setback the kids suffer since they came under Escalante's spell, and in addition to upsetting the high school seniors' plans to attend college, the accusations thoroughly demoralize Escalante and his students.
At this point, the film finally begins to examine some of the deeper issues that so badly need to be brought to light. In one tremendously evocative scene, Escalante confronts the ETS investigators (Andy Garcia and Rif Hutton) who have been trying to convince the kids to "confess" how they cheated. Working himself up, Escalante points out that the kids made the same mistake because they all had the same teacher, and he angrily adds that the kids' scores would never have been questioned had the school been located in an upper-class suburb and had the kids' names been non-Hispanic. In another scene later on, Escalante finds himself re-examining the wisdom of his decisions to push the students to learn calculus as hard as he did. These are the types of scenes that display the soul-searching and human weaknesses that firmly ground the film's story in reality and carry the students' eventual triumph to truly inspiring heights.
Throughout the film, the camerawork does little to distinguish itself from the style of made-for-television films, but the final shot of the film is well-composed and deserves some mention. Just prior to the shot, Escalante is in the office of the Principal Molina (Carmen Argenziano) discussing whether the kids really cheated, when a phone call brings news of the kids' excellent scores on the re-test. As the dumbfounded principal reads out the grades in a voice over, Escalante exits the office and walks down the hallway. The camera shows the length of the hallway from the office to the doorway at the far end. As Escalante nears the doorway, he silently permits himself a hand-raised cheer. Then, silhouetted by the light from the doorway and his back still turned to the audience, he keeps on walking down the hallway and out the door, which shuts behind him. After a few more shots, the credits begin to roll.
The reason the shot works so well is the stoic way in which Olmos conveys Escalante's acceptance of the final payoff of all his efforts. Instead of patting himself on the back, Olmos lets the audience cheer for Escalante. Olmos also recognizes that the film's ending is the beginning of Escalante's efforts, and Olmos plays the scene accordingly. The way Olmos walks down the hall through the doorway, one feels that Escalante is going back to his classroom to teach some more students. The camerawork also does not overly hype the triumph. The filmmakers could easily have shifted the point of view to a front view of Olmos and then ended the film on a freeze-frame of Olmos' upraised hand. They wisely chose not to do so. The result of how they did compose the shot is that the ending is easily the best moment in the film.
One of Escalante's innovations was to display posters of Einstein and Galileo in his classroom next to popular sports figures like Kareem Abdul-Jabbar. Escalante knew that if he could get his students to respect the great thinkers as much as they admired rock stars and movie actors, his battle was half won. The filmmakers show the posters only in the background, but they too know that the real importance of Escalante's story lies in changing viewers' attitudes enough to cheer for a schoolteacher who cares and beats the odds. The filmmakers manage to bring the story to the screen -- although clumsily -- and that in of itself is remarkable and refreshing in the final analysis.
Filmographies:
The filmmakers of STAND AND DELIVER are mainly recent graduates from film schools making their feature film debut. Director Ramon Menendez emigrated to the United States from Cuba in the early 1960s when he was still a child. He enrolled in the UCLA film school in 1976, where he met Tom Musca (producer and co-writer) and Tom Richmond (cinematographer). Editor Nancy Richardson also attended the UCLA film school.
Manavendra K. Thakur {rutgers,decvax!genrad,ihnp4}!mit-eddie!thakur<EMAIL_ADDRESS><EMAIL_ADDRESS>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


Core Concepts¶
Particle Cloud Framework is a cloud resource provisioning framework whose key features include being fully customizable and extensible, callable by code, and automatically maintains the states of cloud resources. This unique combination leads to new ways of thinking about cloud infrastructure and its relation to not only applications, but software development in general.
Just in Time Infrastructure¶
Just-in-time infrastructure is a model in which the entire infrastructure stack required for an application is written as code and deployed with the same lifecycles alongside the application. The idea for JiTI came during the development of a data analytics platform for data scientists, many of whom wanted to use the platform with sensitive data. Working with sensitive data made it extremely difficult to gain the sufficient permission and access needed for the platform to be hosted in one centralized location. Therefore, the team decided early on to design the platform to be “drop-shippable” (deployed in any cloud account with minimal to no code changes required), and simply deploy the platform directly into any account where the data and the data scientists were already working.
There was just one catch - the team building the platform did not have the resources to manually configure and stand up the platform in dozens of accounts. So, in addition to the data analytics platform, we also built a Python-based cloud resource management framework which has recently been open-sourced by Capital One as Particle Cloud Framework. This framework was built intentionally with JiTI in mind, but the principles of JiTI can be applied with any programming language and framework. Using Particle Cloud Framework, we were easily able to combine the platform codebase with the infrastructure required to run it, making it extremely simple to scale out (in this case on AWS, but the same can be done on any cloud provider). The infrastructure codebase contained not only the compute and storage resources required, but all components including the VPC, subnets, IAM roles (access permissions), and networking resources. In cases where some of the resources had to be shared with other applications, or we did not have the required permissions to dynamically create a resource, the resource was passed in to the configuration programmatically. Otherwise, all resources were generated during run time.
Combining the platform with its infrastructure code is an extremely powerful concept and ensures the required infrastructure is provisioned not only correctly, but consistently, between development and production environments as well as across accounts. Now, when additional features that require additional infrastructure components are ready to be deployed, users simply update the application, which as part of the update, would also deploy the new required infrastructure.
Benefits
- Application Isolation
Tying your application and infrastructure code reduces the risk of negatively affecting other applications and vice versa. JiTI ensures you have exactly the same infrastructure in all your development, QA, and production environments. Furthermore, JiTI allows the infrastructure code to be versioned directly alongside your application, enabling the deployment of various versions at the same time with different infrastructure requirements.
- Cost Management
JiTI makes resource management much simpler since resources can simply be attributed to unique applications, so there is no risk when deleting rogue or unused infrastructure. Additionally, JiTI simplifies the deployment and tearing down your entire application, providing cost savings while not utilizing the application (especially for development, test, and QA environments).
- Drop-shippable
Deploying an application and its infrastructure together in another account or environment ensures the application works as promised.
- Auditability
Since the entire infrastructure is written as code alongside the application, auditing is much easier because JiTI assumes all dependencies are in the same code base.
- Security
JiTI ensures that resources related to security such as networking, access control, and identity management are deployed only when they’re needed by an application. When the application gets terminated, those vulnerable resources also get terminated reducing the security risk from leftover and outdated resources.
- Resiliency
JiTI makes it easy to merely recreate the entirety of the infrastructure if things go wrong, instead of having to manually inspect what might have caused a failure and testing a fix and its potential effects on the rest of the ecosystem.
- Self Management
JiTI can enable applications to manage their own infrastructure once deployed. This is useful if an application has a variable or unpredictable workload and can automatically scale the underlying infrastructure itself.
Considerations When Using JiTI
- Governance
Since applications are now tightly coupled with the infrastructure, centralized governance teams will need to incorporate new standards and procedures to ensure security, cost, and regulatory compliance. This can be done passively through tools that actively scan and delete resources that are non compliant, or fine-grained access management that limits the scope of each application.
- Permissions
Adopting JiTI may require a new way to manage access management since application teams are deploying the entire infrastructure stack from security rules and subnets, to compute and networking resources. One way to manage this is to create a centralized tool that has the actual permissions to deploy, and before any deployment it could programmatically scan the application code to enforce customized rules (for example prohibit public endpoints).


What is the best Part of your job?
What career acccomplishement are you most proud of and why?
What 5 personality traits are the most important for being successful at your job?
How much time do you spend sitting at your desk?


Theory of Computation (renumbered as cs3120, but very similar to the course previously numbered as cs3102) will be offered in Spring 2023, co-taught by Mohammad Mahmoody and David Evans.
Class meetings will be Tuesdays and Thursdays, 9:30 – 10:45am in Olsson Hall 120.
We’ll be putting more information here about the course as the start of the semester approaches.
For now, you can see what the course was like in previous semesters from Prof. Brunelle’s Fall 2022 course and from the archived course websites from Fall 2021, Fall 2020, and Fall 2019. The design of the Spring 2023 course is not set yet, but it will most likely be a combination of aspects of the previous semesters and some new variations. Most of the content in the course will be similar to what was covered last fall and in pervious offerings of cs3102, with some adjustments due to the new curriculum (which makes DSA2 a prereq for this course).
We look forward to seeing you at the first class, Thursday, 19 January, at 9:30am in Olsson 120.


CURES FOR WARTS.
I.  I have heard of this as an unfailing remedy; each wart was touched with a new pin, and the pin then dropped into the bottle. I am not quite certain that it was necessary that the bottle should be placed in a newly-made grave; in many cases burying it in the earth, and especially at a "four cross-roads," was quite sufficient. As the pins rust, the warts decay.
II. A piece of string should be taken, and as many knots tied on it as there are warts on the body; each wart being carefully touched with the knot dedicated to it. The string is then to be buried, and the warts fade away as it decays. A few years since a ship-wright in Devonport dockyard professed to cure warts by merely receiving from an indifferent person a knotted string,--the knots of which, had been tied by the afflicted. What he did with the string I know not.
III. To touch each wart with a pebble, place the pebbles in a bag, and to lose the bag on the way to church, was for many years a very favourite remedy; but the unfortunate person who found the bag received the warts. A lady once told me that she picked up such a bag, when a child, and out of curiosity, and in ignorance, examined the contents. The result was that she had, in a short time, as many warts as there were stones in the bag.
IV. Another remedy was to steal a piece of meat from a butcher's stall in the public market, and with this to touch the warts, and bury it. As the meat putrefied the warts decayed.
V. I remember, when quite a child, having a very large "seedy wart" on one of my fingers. I was taken by a distant relation, an elderly lady, residing in Gwinear, to some old woman, for the purpose of having this wart charmed. I well remember that two charred sticks were taken from the fire on the hearth, and carefully crossed over the fleshy excrescence, while some words were muttered by the charmer. I know not how long it was before the wart disappeared, but certainly, at some time, it did so.


The Water Project
With the support of folks like you, The Water Project provides access to clean, safe and reliable water across sub-Saharan Africa. Providing a reliable and safe water source unlocks potential by returning time for study and income generating work.


BAGLEY
HOUSEHOLD INCOME
$65kPICK UP DAY
FRIDAYBLOCK CLUBS
54RESIDENTS
16,866MEET YOUR NEIGHBORS
Karl
Kaebnick
- personal fun fact
- personal fun fact
- personal fun fact
Why did you move here?
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean pharetra mattis posuere. Morbi at nisi libero.
What do you love about your neighborhood?
Aliquam maximus imperdiet posuere. Etiam convallis, risus eu tristique venenatis, odio massa tincidunt odio, quis accumsan mauris risus vitae libero.
What is something interesting about your neighborhood?
t iaculis non sapien ut aliquam. Morbi semper quam velit, a consequat odio porta nec. Donec ac urna nec ante feugiat consectetur elementum ut ex.
Goran
Bankovic
- personal fun fact
- personal fun fact
- personal fun fact
Why did you move here?
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean pharetra mattis posuere. Morbi at nisi libero.
What do you love about your neighborhood?
Aliquam maximus imperdiet posuere. Etiam convallis, risus eu tristique venenatis, odio massa tincidunt odio, quis accumsan mauris risus vitae libero.
What is something interesting about your neighborhood?
t iaculis non sapien ut aliquam. Morbi semper quam velit, a consequat odio porta nec. Donec ac urna nec ante feugiat consectetur elementum ut ex.
HOMES
11,235HOME RENOVATION PERMITS
356NEIGHBORHOOD ASSOCIATIONS & BLOCK CLUBS
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
CLUB NAME 1
John Doe - President
<EMAIL_ADDRESS>313.333.3333
RESTAURANTS
35BUSINESS RENOVATION PERMITS
135EVENTS
JAN
2017
Something nice about the Auto Show like, they have shinny stuff
JAN
2017
Something nice about the Winter Blast like, it is cold.
MAR
2017
Something nice about the St. Patrik's Parade like, lots of green.


16.7 Shortest Paths Example:
Routing Tables
One application in which shortest
paths play an important role is routing data between networks in an
internet. Routing is the process of
making informed decisions about how to move data from one
point to another. In an internet, this is accomplished by
propagating small sections of the data, or packets,
along interconnected points called gateways. As each
packet passes through a gateway, a router looks at where the packet
eventually needs to go and decides to which gateway it should
be sent next. The goal of each router is to propagate a packet
closer and closer to its final destination.
In order to
propagate a packet closer to its destination, each router
maintains information about the structure, or topology,
of the internet. It stores this information in a routing table. A routing table
contains one entry for each gateway the router knows how to
reach. Each entry specifies the next gateway to which packets
destined for another gateway should be sent.
So that packets are continually sent along
the best route possible, routers periodically update their
routing tables to reflect changes in the internet. In one type
of routing, called shortest path first
routing, or SPF routing,
every router
maintains its own map of the internet so that it can update
its routing table by computing shortest paths between itself
and other destinations. Its map is a directed, weighted graph
whose vertices are gateways and whose edges are connections
between the gateways. Each edge is weighted by the performance
most recently observed for a connection. From time to time,
routers exchange information about topology and performance
using a protocol designed especially for this purpose.
Example
16.4 is a function, route,
that
computes the information necessary to update one entry in a
routing table using SPF routing. The function accepts the list
of path information returned in the paths
argument of shortest. It uses this information to determine
to which gateway a router should send a packet next to reach
its destination most effectively.
To complete an entire table for a specific
gateway, we first call shortest
with the gateway passed as start. Next, for
each destination to be included in the routing table, we call
route with the destination
passed as destination. We pass the same
function for match as was provided to graph_init for the graph from which
paths was generated. The route function follows parent
pointers in paths from the destination back to
the gateway and returns the best choice for moving a packet
closer to its destination in next. The vertex
returned in next points to the actual vertex
in paths, so the storage in
paths must remain valid as long as
next is being accessed.
Figure
16.5a illustrates the computation of a routing table for a
router at gw1 in the internet
shown (modeled using a graph similar to the one in Figure
16.3). Figure
16.5b illustrates the computation of the routing table for
a router at gw2 . Notice how
the shortest paths are different depending on where we start
in the internet. Also, notice that in Figure
16.5b there is no way to reach gw1, so there is no entry for it in
the table.
The runtime complexity of route is O
(n2), where n
is the number of gateways in paths. This is
because we look up in paths the parent of each
vertex between the destination we are interested in and the
starting point in the internet. If the shortest path between
us and the destination contains every gateway in
paths, in the worst case we may have to search
the list of gateways n times to
find every parent.
Example 16.4.
Implementation of a Function for Updating Entries in Routing
Tables /*****************************************************************************
* *
* -------------------------------- route.c ------------------------------- *
* *
*****************************************************************************/
#include <stdlib.h>
#include "graphalg.h"
#include "list.h"
#include "route.h"
/*****************************************************************************
* *
* --------------------------------- route -------------------------------- *
* *
*****************************************************************************/
int route(List *paths, PathVertex *destination, PathVertex **next, int
(*match)(const void *key1, const void *key2)) {
PathVertex *temp,
*parent;
ListElmt *element;
int found;
/*****************************************************************************
* *
* Locate the destination in the list of gateways. *
* *
*****************************************************************************/
found = 0;
for (element = list_head(paths); element != NULL; element =
list_next(element)) {
if (match(list_data(element), destination)) {
temp = list_data(element);
parent = ((PathVertex *)list_data(element))->parent;
found = 1;
break;
}
}
/*****************************************************************************
* *
* Return if the destination is not reachable. *
* *
*****************************************************************************/
if (!found)
return -1;
/*****************************************************************************
* *
* Compute the next gateway in the shortest path to the destination. *
* *
*****************************************************************************/
while (parent != NULL) {
temp = list_data(element);
found = 0;
for (element = list_head(paths); element != NULL; element =
list_next(element)) {
if (match(list_data(element), parent)) {
parent = ((PathVertex *)list_data(element))->parent;
found = 1;
break;
}
}
/**************************************************************************
* *
* Return if the destination is not reachable. *
* *
**************************************************************************/
if (!found)
return -1;
}
*next = temp;
return 0;
}
|


content_type
-
SearchResult.content_type(self)
Returns the content type for the result’s model instance.
get_additional_fields
-
SearchResult.get_additional_fields(self)
Returns a dictionary of all of the fields from the raw result.
Useful for serializing results. Only returns what was seen from the
search engine, so it may have extra fields Haystack’s indexes aren’t
aware of.
get_stored_fields
-
SearchResult.get_stored_fields(self)
Returns a dictionary of all of the stored fields from the SearchIndex.
Useful for serializing results. Only returns the fields Haystack’s
indexes are aware of as being ‘stored’.


{{> experiment}}
Please choose an experiment above
{{> chatWindow}}
What is the relationship between radioactive emmissions and the detection distance? Choose the number of trails you wish to run, and the distance of the Geiger counter from the source in each of those trials.
What is the relationship between radioactive emmisions and the detection time? Choose the number of trials you wish to run, and how long you want the Geiger counter to measure radiation in each of those trials.


Remember back in the day, when new software came out and you couldn’t wait to run to your local computer store to buy the software so that you could rush home, take out the floppy disk/ compact disk to throw into your disk drive and install your new software. Then when updates came out you would go through the same process. Such excitement! Well this is going to be a thing of the past because of cloud computing.
What is cloud computing? Instead of software being delivered through disks, everything is done through the internet. With cloud computing nothing is stored locally, everything is stored on the cloud, which is a mass of servers. This means that you do not need to directly download software onto a computer, all that is needed is an internet connection. Most things that basic consumers use from google could be considered cloud computing: Gmail, Google Calendar, Google Reader and much more.
What is so great about cloud computing? From a consumer’s perspective it can mean less upfront infrastructure cost, you don’t have to paying for all of the servers and hardware need to run software. From an environmental perspective you can reallocate resources for different functions as needed, which can maximize the computing power, reducing energy expenses. From a hosting point of view it gives much more control over your product and updates, making it difficult to bootleg.
What is wrong with cloud computing? This model puts a lot of faith in internet providers being reliable and cheap access to the internet, which may not always be the norm. If there are issues with the central servers, it means everyone is out of luck which can be very costly. There are also privacy issues, with large amounts of data being at risk and host companies being able to monitor or control communications. Intellectual property can also come into question, if it is put on the cloud does the person who put it on the cloud own it or the company that host the cloud? There is no real regulation on cloud computing and often the rules are made up as the industry progresses.
What is undeniable is the trend toward cloud computing and the large amount of investment that is being made into what may be the future of computing.


Welcome to faropt’s documentation!¶
Indices and tables¶
Using the SDK¶
For a basic Walkthrough, do:¶
from faropt import FarOpt
// init a FarOpt object
fo = FarOpt()
// point to your source code, with a main.py and any other files and/or subfolders
fo.configure('../project/src/')
// submit the job
fo.submit()
// print logs()
fo.logs()
Saving and running a recipe¶
// add a recipe after submitting a job
fo.add_recipe(recipe_name='routing-v1', maintainer='Dexter')
// get unique recipe ID
r_id = fo.get_recipe_id_from_description(description='routing-v1')
// run this recipe
fo.run_recipe(r_id)
For black box optimization problems:¶
from faropt.templates.blackbox import AsyncOpt
// init an AsyncOpt object
ao = AsyncOpt()
// list existing models
ao.list_models()
// create a new model
ao.create_model(bounds = [(-1.0,1.0), (-5.0,5.0), (-3,3)])], model_tag = 'engine1')
// ask optimizer for a new point to evaluate
ao.ask_model(modelname = ...)
// tell the optimizer results of a evaluation
ao.tell_model(xval = [0,0,1], fval = 0.5, modelname= ...s)
Example code¶
See example code here - https://github.com/aws-samples/faropt/blob/master/tests/src/main.py
"""Capacited Vehicles Routing Problem (CVRP)."""
# [START import]
from __future__ import print_function
from ortools.constraint_solver import routing_enums_pb2
from ortools.constraint_solver import pywrapcp
from utils import *
# [END import]
# [START data_model]
def create_data_model():
"""Stores the data for the problem."""
data = {}
data['distance_matrix'] = [
[
0, 548, 776, 696, 582, 274, 502, 194, 308, 194, 536, 502, 388, 354,
468, 776, 662
],
//.
//.
//.
//.
//.
# Solve the problem.
# [START solve]
solution = routing.SolveWithParameters(search_parameters)
# [END solve]
# Print solution on console.
# [START print_solution]
print('printing solutions')
if solution:
print_solution(data, manager, routing, solution)
# [END print_solution]
main()
Logs from the back end …¶
1598041071123 | Starting FarOpt backend
1598041071123 | ███████╗ █████╗ ██████╗ ██████╗ ██████╗ ████████╗
1598041071123 | ██╔════╝██╔══██╗██╔══██╗██╔═══██╗██╔══██╗╚══██╔══╝
1598041071123 | █████╗ ███████║██████╔╝██║ ██║██████╔╝ ██║
1598041071123 | ██╔══╝ ██╔══██║██╔══██╗██║ ██║██╔═══╝ ██║
1598041071123 | ██║ ██║ ██║██║ ██║╚██████╔╝██║ ██║
1598041071123 | ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝
.
.
.
.
.
Back-end architecture¶
Fargate based serverless Numerical Optimization¶
This architecture is a bare bones template of how you can run optimization models in a serverless fashion on Fargate. The Open source SDK can be used to submit optimization tasks and receive logs. Fargate will launch the container, run your code, push logs to cloudwatch and exit - you only pay for the seconds that this optimzation task runs.
Currently supported frameworks inlcude:
PuLP
Pyomo
OR Tools
JuMP (Julia)
What’s coming up?¶
Scheduling optimization jobs
Demand forecasting using Forecast
Quantum Approximate Optimization Algorithm
SageMaker RL solvers for certain problem types
How to use this CDK project¶
You should explore the contents of this project. It demonstrates a CDK app with an instance of a stack (faropt_stack
)
which contains an Amazon SQS queue that is subscribed to an Amazon SNS topic.
The cdk.json
file tells the CDK Toolkit how to execute your app.
This project is set up like a standard Python project. The initialization process also creates
a virtualenv within this project, stored under the .env directory. To create the virtualenv
it assumes that there is a python3
executable in your path with access to the venv
package.
If for any reason the automatic creation of the virtualenv fails, you can create the virtualenv
manually once the init process completes.
To manually create a virtualenv on MacOS and Linux:
$ python3 -m venv .env
After the init process completes and the virtualenv is created, you can use the following step to activate your virtualenv.
$ source .env/bin/activate
If you are a Windows platform, you would activate the virtualenv like this:
% .env\Scripts\activate.bat
Once the virtualenv is activated, you can install the required dependencies.
$ pip install -r requirements.txt
At this point you can now synthesize the CloudFormation template for this code.
$ cdk synth
You can now begin exploring the source code, contained in the hello directory. There is also a very trivial test included that can be run like this:
$ pytest
To add additional dependencies, for example other CDK libraries, just add to
your requirements.txt file and rerun the pip install -r requirements.txt
command.
Useful commands for the back end stack¶
cdk ls
list all stacks in the appcdk synth
emits the synthesized CloudFormation templatecdk deploy
deploy this stack to your default AWS account/regioncdk diff
compare deployed stack with current statecdk docs
open CDK documentation
Enjoy!


my mesh
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German
|
GitHub
|
Email
Home
Moss
|
CAS
|
Function grapher suite
Curves
|
Surfaces
Publications:
Handbook of Mathematics


Note Change Trigger Out
Outputs a trigger whenever the current output note changes.
Trigger In
If the trigger setting is enabled, triggers a sample for quantization.
Pitch CV In
Unquantized pitch CV input.
Pitch CV Out
Quantized pitch CV output.
The QNTZR function is a digital CV pitch quantizer, configurable to any semitone-based scale (with 31 handy scale presets), and with selectable key. It can be set to continuously quantize or to quantize on a trigger (i.e. quantized sample-and-hold), and has a trigger output for note change.
Outputs a trigger whenever the current output note changes.
If the trigger setting is enabled, triggers a sample for quantization.
Unquantized pitch CV input.
Quantized pitch CV output.


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.apache.poi.hssf.record.Record org.apache.poi.hssf.record.BoundSheetRecord
public class BoundSheetRecord
Title: Bound Sheet Record (aka BundleSheet)
Description: Defines a sheet within a workbook. Basically stores the sheetname and tells where the Beginning of file record is within the HSSF file.
REFERENCE: PG 291 Microsoft Excel 97 Developer's Kit (ISBN: 1-57231-498-2)
| Field Summary | |
|---|---|
static short |
sid
|
| Constructor Summary | |
|---|---|
BoundSheetRecord()
|
|
BoundSheetRecord(RecordInputStream in)
Constructs a BoundSheetRecord and sets its fields appropriately |
| Method Summary | |
|---|---|
protected void |
fillFields(RecordInputStream in)
UTF8: sid + len + bof + flags + len(str) + unicode + str 2 + 2 + 4 + 2 + 1 + 1 + len(str) UNICODE: sid + len + bof + flags + len(str) + unicode + str 2 + 2 + 4 + 2 + 1 + 1 + 2 * len(str) |
byte |
getCompressedUnicodeFlag()
get whether or not to interperate the Sheetname as compressed unicode (8/16 bit) (This is undocumented but can be found as Q187919 on the Microsoft(tm) Support site) |
short |
getOptionFlags()
get the option flags (unimportant for HSSF supported sheets) |
int |
getPositionOfBof()
get the offset in bytes of the Beginning of File Marker within the HSSF Stream part of the POIFS file |
byte |
getRawSheetnameLength()
get the length of the raw sheetname in characters the length depends on the unicode flag |
int |
getRecordSize()
gives the current serialized size of the record. |
java.lang.String |
getSheetname()
get the sheetname for this sheet. |
byte |
getSheetnameLength()
get the length of the sheetname in characters |
short |
getSid()
return the non static version of the id for this record. |
int |
serialize(int offset,
byte[] data)
called by the class that is responsible for writing this sucker. |
void |
setCompressedUnicodeFlag(byte flag)
set whether or not to interperate the Sheetname as compressed unicode (8/16 bit) (This is undocumented but can be found as Q187919 on the Microsoft(tm) Support site) |
void |
setOptionFlags(short flags)
set the option flags (unimportant for HSSF supported sheets) |
void |
setPositionOfBof(int pos)
set the offset in bytes of the Beginning of File Marker within the HSSF Stream part of the POIFS file |
void |
setSheetname(java.lang.String sheetname)
Set the sheetname for this sheet. |
void |
setSheetnameLength(byte len)
Set the length of the sheetname in characters |
java.lang.String |
toString()
get a string representation of the record (for biffview/debugging) |
protected void |
validateSid(short id)
called by constructor, should throw runtime exception in the event of a record passed with a differing ID. |
| Methods inherited from class org.apache.poi.hssf.record.Record |
|---|
clone, isInValueSection, isValue, serialize |
| Methods inherited from class java.lang.Object |
|---|
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
|---|
public static final short sid
| Constructor Detail |
|---|
public BoundSheetRecord()
public BoundSheetRecord(RecordInputStream in)
id
- id must be 0x85 or an exception will be throw upon validationsize
- the size of the data area of the recorddata
- data of the record (should not contain sid/len)| Method Detail |
|---|
protected void validateSid(short id)
Record
validateSid
in class Record
id
- alleged id for this recordprotected void fillFields(RecordInputStream in)
fillFields
in class Record
public void setPositionOfBof(int pos)
pos
- offset in bytespublic void setOptionFlags(short flags)
flags
- to setpublic void setSheetnameLength(byte len)
len
- number of characters in the sheet namesetSheetname(String)
public void setCompressedUnicodeFlag(byte flag)
flag
- (0/1) 0- compressed, 1 - uncompressed (16-bit)public void setSheetname(java.lang.String sheetname)
sheetname
- the name of the sheet
java.lang.IllegalArgumentException
- if sheet name will cause excel to crash.public int getPositionOfBof()
public short getOptionFlags()
public byte getSheetnameLength()
getSheetname()
public byte getRawSheetnameLength()
public byte getCompressedUnicodeFlag()
public java.lang.String getSheetname()
public java.lang.String toString()
Record
toString
in class Record
public int serialize(int offset, byte[] data)
Record
serialize
in class Record
offset
- to begin writing atdata
- byte array containing instance data
public int getRecordSize()
Record
getRecordSize
in class Record
public short getSid()
Record
getSid
in class Record
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.gform.sharedmodel.formtemplate._ @import uk.gov.hmrc.gform.testonly.{ InspectedExpr, InspectedExplicitExpr, BooleanExprInfo } @import views.html.helper.CSPNonce @( inspectedExplicitExprs: List[InspectedExplicitExpr], inspectedExprs: List[InspectedExpr], inspectedIncludeIfs: List[BooleanExprInfo], inspectedValidIfs: List[BooleanExprInfo])(implicit request: Request[_])


Gecode::Gist::Extent Class Reference
Extent representing shape of a tree at one depth level More...
#include <visualnode.hh>
Public Member Functions | |
| Extent (void) | |
| Default constructor. | |
| Extent (int l0, int r0) | |
| Construct with l0 and r0. | |
| Extent (int width) | |
| Construct with width width. | |
| void | extend (int deltaL, int deltaR) |
| Extend extent by deltaL and deltaR. | |
| void | move (int delta) |
| Move extent by delta. | |
Public Attributes | |
| int | l |
| Left extent. | |
| int | r |
| Right extent. |
Detailed Description
Extent representing shape of a tree at one depth level
Definition at line 63 of file visualnode.hh.
Constructor & Destructor Documentation
| Gecode::Gist::Extent::Extent | ( | void | ) | [inline] |
Default constructor.
Definition at line 37 of file visualnode.hpp.
| Gecode::Gist::Extent::Extent | ( | int | l0, | |
| int | r0 | |||
| ) | [inline] |
Construct with l0 and r0.
Definition at line 40 of file visualnode.hpp.
| Gecode::Gist::Extent::Extent | ( | int | width | ) | [inline] |
Construct with width width.
Definition at line 43 of file visualnode.hpp.
Member Function Documentation
| void Gecode::Gist::Extent::extend | ( | int | deltaL, | |
| int | deltaR | |||
| ) | [inline] |
Extend extent by deltaL and deltaR.
Definition at line 50 of file visualnode.hpp.
| void Gecode::Gist::Extent::move | ( | int | delta | ) | [inline] |
Move extent by delta.
Definition at line 55 of file visualnode.hpp.
Member Data Documentation
Left extent.
Definition at line 66 of file visualnode.hh.
Right extent.
Definition at line 68 of file visualnode.hh.
The documentation for this class was generated from the following files:
- gecode/gist/visualnode.hh
- gecode/gist/visualnode.hpp


THERE IS NO "WE"
in "FOOD."
{% if filename %}
{% with messages = get_flashed_messages() %}
{% if messages %}
This delicious food looks like {{ messages[0]}}. Are we correct?
{% endif %}
{% endwith %}
>
{%endif%}
©2021-Anubhav Sanyal. All rights reserved.


..
Above, you should see a grid of 17 SVG child elements sticked together to build one rectangle grid. You should be able to resize your browser window and the grid rendering should adjust to it. The outcome should look like in these sample screenshots: small, bigger and big.
The test is successful, if all SVG elements resize exacly dependend on the width of the browser window, but keep their aspect ratio and relative position. The complete grid should always show a perfect rectangle object.


Im running my arduino with 5V
now when im using the following page: http://openenergymonitor.org/emon/buildingblocks/ct-and-ac-power-adaptor-installation-and-calibration-theory
Im ending up with ridiculous answers
for the voltage side:
for the voltage my resistors are both 10Kohm where that for emontx are 470Kohm, however, the ratio is still 1/11 since they add up for the same voltage divider. and 9V for 230V adapter:
counts = (input pin voltage / 3.3) x 1024
input pin voltage = adapter output voltage / 11
adapter output voltage = mains voltage x transformer ratio
where im taking mains voltage to be 230v and the transformer ratio (230/9)
therefore my final calculation is:
counts = ((230*230/9)/(11*5)) * 1024
counts =109433.5354
Vmains = count x a constant
230=109433.5354 *Vcal
0.002=VCAL
for the current side:
im using a 33ohm resistor and 10Kohm resistor and yhdc sct 013 000 again following the calculations
current constant = (100 / 0.050) / 18 = 111.11
therefore im working it like this
(100/0.05)/33 =66.6 for ICAL
i think im putting wrong values if someone can help me in one way or another please, i will appreciate it, since now i was able to get the xbees working and the webserver is up, and this is taking readings.. however the readings i am receiving for a simple fan stand of 60w 50 Hz and 240V are like 20000W for reactive power and 330 for Vrms for example
thanks a lot
Re: calibration of ICAL and VCAL
You have your transformer ratio the wrong way up. The transformer ratio is defined in this line:
Read the calibration page again and understand where the numbers come from. Then put your numbers into the calculations. You should get a value close to 280. (That is if your transformer really gives 9 V out with 230 V in, it might say that on the label but don't believe it if you can measure it accurately - there's a thing called "transformer regulation" - also briefly explained on the calibration page).
The calibration page says that the Arduino supply voltage (5 V) is already included in the calculations. You need to trace through the software in the sketch and the library to see why this is so.
I think you hit a wrong button or didn't read your calculator correctly when you did this sum!
Finally, you must not expect great accuracy when you are reading very small currents. See here http://openenergymonitor.org/emon/buildingblocks/measurement-implication... You can expect significant errors when the current is below about 1 A.
Re: calibration of ICAL and VCAL
so here you are taking that the voltage of the mains is always 230 V. what if I want to read it directly??? and therefore work these equations with the voltage of the mains being read constantly?? do i have to insert a voltage probe which goes into and arduino analog in or toggle the pins..something????
Re: calibration of ICAL and VCAL
No, I am saying that the voltage of the mains is NEVER exactly 230 V, but varies according to how much power everyone else in the neighbourhood/country is using. That is the purpose of measuring it with the voltage input.
All you need to do with the transformer is measure the mains voltage (TAKE CARE!) then measure the output voltage. Better, measure both at the same time using two meters. You use these two numbers in your calculation to get the voltage calibration constant. That is all. You do not need to do any measuring on or with the Arduino.
You need to do this because the label on your transformer says "9 V output" but in practice, it gives 9 V at full load. You are not using it at full load, so you need to know the output voltage with no load. It is likely to be up to 25% higher than 9 V, depending on exactly how the transformer was designed and made.
Once you have calculated the constant, check the voltage that the Arduino outputs and see how different it is from the true mains voltage. The difference should be less than 10%. If it is, alter the constant so that you read the correct voltage. If it is not, either you have made a mistake in your calculations, of you have a problem with your circuit that you need to find and correct.
When your Arduino is in use measuring voltage and current, it does not matter that the voltage is not 230 V, the input to the Arduino will vary as the mains voltage varies.


A GUI R implementation of hierarchical Bayesian models of working memory, used for analyzing change detection data.
| Version: | <IP_ADDRESS> |
| Depends: | R (≥ 2.10), gtools, gWidgets, gWidgetsRGtk2, coda, cairoDevice |
| Imports: | RGtk2, grDevices, XML |
| Published: | 2015-07-12 |
| Author: | R. D. Morey |
| Maintainer: | R. D. Morey <richarddmorey at gmail.com> |
| BugReports: | https://github.com/richarddmorey/WMCapacity |
| License: | GPL-2 |
| URL: | http://wmcapacity.r-forge.r-project.org/ |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | WMCapacity results |
| Reference manual: | WMCapacity.pdf |
| Package source: | WMCapacity_<IP_ADDRESS>.tar.gz |
| Windows binaries: | r-devel: WMCapacity_<IP_ADDRESS>.zip, r-release: WMCapacity_<IP_ADDRESS>.zip, r-oldrel: WMCapacity_<IP_ADDRESS>.zip |
| OS X binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | WMCapacity archive |
Please use the canonical form https://CRAN.R-project.org/package=WMCapacity to link to this page.


Preparation time
less than 30 mins
Cooking time
1 to 2 hours
Serves
Serves 4-6
Dietary
I have done away with fresh coconut because dried is so much easier, but if you have the time, fresh coconut is tastier.
Heat the water, lentils and turmeric in a pan and bring to the boil. Simmer for about an hour, or until soft. If necessary, add a bit of extra water.
Stir in the coriander, garam masala, salt and sugar, to taste. Cook until the lentils are completely soft and beginning to break up.
Heat the oil or butter in a small pan. Fry the cardamom pods, cumin, cloves, cinnamon, mustard seeds, chillies and bay leaves for 30 seconds. (Be careful as the seeds may pop a bit.) Add the coconut and stir until it turns golden-brown.
To serve, stir the spice mix into the lentils and divide among four serving plates.


--- layout: default title: CaptainE ---
I'm an ELLIS PhD Student at the University of Copenhagen, advised by Prof & Director Serge Belongie.
Additionally I'm also part of the Pioneer Centre for Artificial Intelligence and BelongieLab.
Before starting my PhD, I was a visiting student at UC Berkeley and a research intern at RISELab, where I was fortunate to work with Xinyun Chen in Dawn Song's group.
I received my Bachelor's and Master's degrees from the Technical University of Denmark DTU (DTU), where I worked with Prof. Ole Winther Winther and Prof. Morten Mørup.
I've also previously been at Raffle.ai , a TA in DTU's Deep Learning course 02456 and worked a Machine Learning Engineer at Corti.
I am broadly interested in research on narratives and misinformation in NLP. I believe that the time is ripe for creating new takes on current misinformation pipelines that are more flexible and can handle any textual data. I broadly work in the HCI+NLP+CV area, but I specialise in topics such as argument mining and misinformation, as well as text summarization and style transfer.
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DTU course 02456 Deep learning
Programming Exercises (PyTorch) for the Deep Learning Graduate Course at the Technical University of Denmark running in the Fall of 2016
Code
Neural AI
Explaining Reinforcement Learning for more than 200 people at the Technical University of Denmark during a Neural AI event
Code
DTU course 02456 Deep learning
Teaching assistant, designed programming exercises in PyTorch and supervising over 40 students in their group projects
Fall, 2019
Code
Website
Cs 294-158 Deep Unsupervised Learning UC Berkeley (phD level course)
I have implemented archtechtures and techniques from about 10 papers, been updated with the newest techniques within generative modelling and unsupervised learning by covering more than 100 papers through reading papers and following lectures from renowned professors and ph.D students from UC Berkeley
Fall, 2019
Solutions
Website
Internship at Raffle.ai
Machine learning Intern, build text2sql models
July, 2019
Code
Website
DTU special course Deep reinforcement learning
Implementing an efficient multiscale A3C algorithm with advantage estimation as well as completing the other half of UC Berkeley's Deep RL course
June, 2019
Code
Website
DTU special course Introduction to reinforcement learning
Reading and implementing classical TD, Reinforce, Dyna-Q, DDQN from the Barto Sutton book and completing the first half the Deep RL cource from UC Berkeley
Spring, 2019
Code
Solutions
Book
DTU course 02456 Deep learning
Implement an RL agent using PPO and improving its exploration capabilities with Random Network disillation for the pommerman challenge, which was sponsored by NVidia and Google
Fall, 2018
Code
Challenge
Student assistant / Bachelor project
Helped with building the core infrastructure in Python for the Autonomous Materials discovery and implementing several machine learning models for automated analysis, headed by Prof. Tejs Vegge
Fall, 2018
Website
DTU course 02460 Advanced Machine Learning
Implemented and developed Nonnegative matrix factorization methods trained with variational inference during a research project headed by Mikkel N. schmidt
Spring, 2018
Code
google scholar


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