The linear scale is used to chart numerical data. It can be placed on either the x or y-axis. The scatter chart type automatically configures a line chart to use one of these scales for the x-axis. As the name suggests, linear interpolation is used to determine where a value lies on the axis.
Namespace: options.scales[scaleId]
| Name | Type | Description |
|---|---|---|
beginAtZero |
boolean |
if true, scale will include 0 if it is not already included. |
grace |
number |string |
Percentage (string ending with % ) or amount (number) for added room in the scale range above and below data. more… |
!!!include(axes/cartesian/_common.md)!!!
!!!include(axes/_common.md)!!!
Namespace: options.scales[scaleId].ticks
| Name | Type | Scriptable | Default | Description |
|---|---|---|---|---|
count |
number |
Yes | undefined |
The number of ticks to generate. If specified, this overrides the automatic generation. |
format |
object |
Yes | The Intl.NumberFormat options used by the default label formatter |
|
maxTicksLimit |
number |
Yes | 11 |
Maximum number of ticks and gridlines to show. |
precision |
number |
Yes | if defined and stepSize is not specified, the step size will be rounded to this many decimal places. |
|
stepSize |
number |
Yes | User-defined fixed step size for the scale. more… |
!!!include(axes/cartesian/_common_ticks.md)!!!
!!!include(axes/_common_ticks.md)!!!
If set, the scale ticks will be enumerated by multiple of stepSize
, having one tick per increment. If not set, the ticks are labeled automatically using the nice numbers algorithm.
This example sets up a chart with a y axis that creates ticks at 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5
.
If the value is string ending with %
, its treat as percentage. If number, its treat as value. The value is added to the maximum data value and subtracted from the minimum data. This extends the scale range as if the data values were that much greater.
```js chart-editor //
//
module.exports = { actions: [], config: config, }; ```
Internally, the linear scale uses numeric data


The Manage Grammar page allows users to add, modify, and delete grammars, including their underlying categories and rules. Users can also copy and export grammars, and delete grammars that are no longer needed.
The following functions can be performed with either Public or User Grammars:
Load another grammar: This can be performed by selecting a different grammar from the dropdown list next to the Manage Grammars title.
Add/Import Grammar: This would allow a user to add a new grammar or import an exported grammar file.
Export: This would allow the user to export a grammar for importing into their own workspace or to share with another user.
Copy: If the user is logged in, they can copy an existing grammar into their own workspace. This would allow them to use a public grammar as a starting point for their own grammar, or to make a backup of one of their own grammars.
Test: The test function allows the user to parse through the grammar much as they would in the Design module to verify that the grammar is organized correctly.
Categories: Users can select categories to view their characteristics and the rules they are associated with by clicking on the categories in the tree on the left.
The following functions can only be performed on User Grammars (the grammars belonging to the logged in user):
Edit: This button allows the user to change the name, description, starting category, and the iconset for the grammar.
Delete: If a grammar has not been used for the development of a library or design, it may be deleted.
New Category: This allows the user to add a new category. This would include a short version of the category name (ie, PRO for promoter), a longer, more descriptive category name, the GenBank identifier, and the icon from the grammar's iconset that should be associated with the category.
Edit Category: If the user has selected a grammar from the tree on the left, then they can click on this button to edit the name, GenBank identifier, or icon.
Delete Category: A category may only be deleted if it is not used in a rule, and if it hasn't been assigned to a part.
Add Rule: This would allow the user to add a new rule to their grammar. Clicking this button would load the Add Rule page, where the user can use a drag-and-drop interface to create rules out of categories. Only one category may be indicated as the Transfer From category, but as many categories as need be may be included in the Transfer To box.
Edit Rule: A rule may be edited by clicking on the Edit icon to the right of the target rule.
Delete Rule: A rule may be deleted by clicking on the "X" icon to the right of the target rule.


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Game AI
Game AI is one of the most promising research areas which involves teaching an AI agent to learn to play a complex game. Recently there have been many exciting works like AlphaGO by DeepMind and learning to play Hide and Seek by OpenAI. The game environment provides many complex scenarios to test several algorithms which can then be adapted to real-life important applications like autonomous driving and robotics.
In this article find my approach to let an AI agent learn to play Connect 4. Though simple for humans, large action space and several permutations and combinations of different board states prove to be challenging for an AI agent to learn to win. I used a Monte Carlo Tree Search approach to solve this problem and I am happy to share that I landed up in the top 30% among all the participants (my first Kaggle competition).
About Connect 4
Connect 4 is a turn-based game where two players drop colored discs into a vertical grid alternatively. The aim of each player is to form a sequence of four discs in a row before its opponent. This is a perfect information game, meaning each player is well informed of all the events that have previously occurred.
Alternatively, Connect 4 can also be considered as a zero-sum game meaning there is no mutual win or loss.
Kaggle environment to load ConnectX
-
Kaggle provides an amazingly easy to use OpenAI like gym environment for the Connect 4 game.
-
In order to final test your agent, you can also use predefined random and negamax agents.
Different Approach to solve the problem
There can be many different algorithms to solve this problem like
- Minimax
- Minimax with alpha-beta pruning
- Q Learning
- Proximal Policy Algorithm
- Monte Carlo Tree Search
- and many more
I preferred using the Monte Carlo Tree Search algorithm because of its flexibility to solve games with large branching factors. The main bottleneck for games involving large action space (7 in case of connect4) is that requires it requires an extensive search considering the different permutation and combination of the given board. MCTS tries to overcome this problem in an efficient way as explained below by reducing the search space while at the same time maintaining efficiency.
Monte Carlo Tree Search: Theory
Idea: Monte Carlo Tree Search builds a search tree with n nodes with each node annotated with the win count and the visit count. Initially, the tree starts with a single root node and performs iterations as long as resources are not exhausted.
- Initial Setup — Start with a single root (parent) node and assign a large random UCB value to each non visited (child) nodes.
MCTS consists of four main steps
- Selection — In this phase, the agent starts at the root node, selects the most urgent node, apply the chosen actions, and continue till the terminal state is reached. To select the most urgent node upper confidence bound of the nodes is used. The node with the maximum UCB is used as the next node. The UCB process helps overcome exploration and exploitation dilemma. Also well known as a Multi-Armed bandit problem where the agent wants to maximize one’s gains while playing (Lifelong Learning).
-
Expansion — When UCB can no longer be applied to find the next node, the game tree is expanded further to include an unexplored child by appending all possible nodes from the leaf node
-
Simulation — Once expanded the algorithm selects the child node either randomly or with a policy until it reaches the final stage of the game
-
Backpropagation — When the agent reaches the final state of the game with a winner, all the traversed nodes are updated. The visit and win score for each node is updated.
The above steps are repeated for some iterations.
- Finally, the child of the root node with the highest number of visits is selected as the next action as more the number of visits higher is the UCB.
MCTS Summary
- Each iteration starts at the root.
- Follows tree policy to reach a leaf node.
- Node N is added.
- Perform a random rollout.
- Value backpropagated up the tree.
Other common approaches
Another common approach Minimax with alpha-beta pruning.
Idea — If beta’s (minimizing player) maximum score becomes less than the minimum score of the maximizing player(alpha), the maximizing player is not required to consider other nodes.
Works well only when:
- A good heuristic value function is known
- The branching factor is modest.
Implement MCTS to play Connect 4
Check out my implementation of Monte Carlo Tree Search to play Connect 4 to rank in the top 30% of this Kaggle Competition in this Colab Notebook.


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I read about 150 words per minute (wpm) as per this website. My personal goal for 2020 is to read 50 books. Let's see how far I can get by the end of the year. I also plan to write a summary of my readings by the end of the year.
Here is the link to my Goodreads profile. The Goodreads profile is updated (slightly) more frequently than this page. Nowadays, I mostly read on my Kindle and listen to audiobooks on Audible.
{{ book.author }}
Currently reading


{% for requested_project in requested_projects %}
- Title: {{requested_project.name}}
- Details: {{requested_project.details}}
- Software Required: {{requested_project.software_required}}
- Lab: {{requested_project.lab}}
- Requested by: {{requested_project.created_by}}
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About Me
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a Web developer
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object igeo.ISun
public class ISun
A solar analysis package providing direction of the sun in the spcecified location at the specified time.
| Nested Class Summary | |
|---|---|
static class |
ISun.City
|
static class |
ISun.DateIterator
|
static class |
ISun.DateRange
|
static class |
ISun.Location
|
static class |
ISun.SearchBuffer
|
| Field Summary | |
|---|---|
static boolean |
aberrationCorrection
|
double |
altitude
|
double |
azimuth
|
java.util.ArrayList<ISun.SearchBuffer> |
buffers
|
static int |
bufferSampleNum
internal search buffer default sample num per a day |
int |
day
input time info |
boolean |
daylightSaving
switch to interpret hour as hour in daylight saving day |
IVec |
dir
|
double |
elevation
height(altitude) of the location |
double |
hour
hour includes fraction of minutes and seconds |
double |
latitude
input location info |
double |
longitude
input location info |
static boolean |
measureAzimuthFromSouth
|
int |
month
input time info |
IVec |
northDir
|
static boolean |
nutationCorrection
|
static boolean |
precessionCorrection
|
static boolean |
refractionCorrection
|
double |
timeZone
time zone as difference of hours from GMT; -12 - +12 |
boolean |
updateAngle
|
int |
year
input time info |
| Constructor Summary | |
|---|---|
ISun()
|
|
ISun(double latitude,
double longitude,
double timeZone)
|
|
ISun(double latitude,
double longitude,
double elevation,
double timeZone)
|
|
ISun(double latitude,
double longitude,
double elevation,
double timeZone,
int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
|
|
ISun(double latitude,
double longitude,
double elevation,
double timeZone,
IVec northDir)
|
|
ISun(double latitude,
double longitude,
double elevation,
double timeZone,
IVec northDir,
int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
|
|
ISun(double latitude,
double longitude,
double timeZone,
IVec northDir)
|
|
ISun(ISun.City city)
|
|
ISun(ISun.City city,
IVec northDir)
|
|
ISun(ISun.Location location)
|
|
ISun(ISun.Location location,
IVec northDir)
|
| Method Summary | |
|---|---|
static java.lang.String |
adstring(double ra)
|
double |
altitude()
calculate altitude angle |
static double |
altitude(double latitude,
double longitude,
double elevation,
double timeZone,
int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
calculate altitude angle at the given time and location hour can include fraction of minutes |
double |
altitude(int year,
int month,
int day,
double hour)
calculate altitude angle at the given time. |
double |
altitude(int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
calculate altitude angle at the given time. |
double |
altitude(int year,
int month,
int day,
int hour,
double minute)
calculate altitude angle at the given time. |
double |
altitude(int year,
int month,
int day,
int hour,
double minute,
boolean daylightSavingTime)
calculate altitude angle at the given time. |
double |
altitude(int year,
int month,
int day,
int hour,
int minute,
double second)
calculate altitude angle at the given time. |
double |
altitude(int year,
int month,
int day,
int hour,
int minute,
double second,
boolean daylightSavingTime)
calculate altitude angle at the given time. |
double |
altitudeAt(double azimuth,
int year,
int month,
int day)
search altitude in the specified date when sun comes in the direction of azimuth |
double |
altitudeAt(double azimuth,
int year,
int month,
int day,
int sampleNumber)
search altitude in the specified date when sun comes in the direction of azimuth |
double |
altitudeAt(IVec azimuthDir,
int year,
int month,
int day)
search altitude in the specified date when sun comes in the direction of azimuth |
double[] |
angles()
|
static double[] |
angles(double latitude,
double longitude,
double elevation,
double timeZone,
int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
alias of calcAngle. |
double[] |
angles(int year,
int month,
int day,
double hour)
|
double[] |
angles(int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
|
double[] |
angles(int year,
int month,
int day,
int hour,
double minute)
|
double[] |
angles(int year,
int month,
int day,
int hour,
double minute,
boolean daylightSavingTime)
|
double[] |
angles(int year,
int month,
int day,
int hour,
int minute,
double second)
|
double[] |
angles(int year,
int month,
int day,
int hour,
int minute,
double second,
boolean daylightSavingTime)
|
double |
azimuth()
calculate azimuth. |
static double |
azimuth(double latitude,
double longitude,
double elevation,
double timeZone,
int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
calculate azimuth angle at the given time and location hour can include fraction of minutes |
double |
azimuth(int year,
int month,
int day,
double hour)
calculate azimuth at the given time. |
double |
azimuth(int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
calculate azimuth at the given time. |
double |
azimuth(int year,
int month,
int day,
int hour,
double minute)
calculate azimuth at the given time. |
double |
azimuth(int year,
int month,
int day,
int hour,
double minute,
boolean daylightSavingTime)
calculate azimu at the given time. |
double |
azimuth(int year,
int month,
int day,
int hour,
int minute,
double second)
calculate azimuth at the given time. |
double |
azimuth(int year,
int month,
int day,
int hour,
int minute,
double second,
boolean daylightSavingTime)
calculate azimuth at the given time. |
static double |
azimuth(IVec azimuthDir,
IVec northDirection)
conveting vector to azimuth angle |
ISun |
calc()
|
static double[] |
calcAngle(double latitude,
double longitude,
double elevation,
double timeZone,
int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
calculate altitude and azimuth angle. |
static double[] |
calcEquatorialCoordinates(double julianDate)
|
static double[] |
calcHorizontalCoordinates(double rightAscension,
double declination,
double julianDate,
double latitude,
double longitude,
double elevation,
double eclipticLongitude)
|
static double[] |
coaberration(double julianDate,
double rightAscension,
double declination,
double eps,
double eclipticLongitude)
|
static double[] |
conutate(double julianDate,
double rightAscension,
double declination)
|
static double |
corefract(double altitudeAngle,
double elevation)
|
static double |
corefractForward(double altitudeAngle,
double pressure,
double temperature)
|
static java.lang.String |
degStr(double deg)
|
IVec |
dir()
|
static IVec |
dir(double latitude,
double longitude,
double elevation,
double timeZone,
IVec northDir,
int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
|
IVec |
dir(int year,
int month,
int day,
double hour)
|
IVec |
dir(int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
|
IVec |
dir(int year,
int month,
int day,
int hour,
double minute)
|
IVec |
dir(int year,
int month,
int day,
int hour,
double minute,
boolean daylightSavingTime)
|
IVec |
dir(int year,
int month,
int day,
int hour,
int minute,
double second)
|
IVec |
dir(int year,
int month,
int day,
int hour,
int minute,
double second,
boolean daylightSavingTime)
|
IVec |
dirAt(double azimuth,
int year,
int month,
int day)
solar direction vector at specified azimuth on the date |
IVec |
dirAt(double azimuth,
int year,
int month,
int day,
int sampleNumber)
solar direction vector at specified azimuth on the date |
IVec |
dirAt(IVec azimuthDir,
int year,
int month,
int day)
solar direction vector at specified azimuth on the date |
IVec |
direction()
|
static IVec |
direction(double latitude,
double longitude,
double elevation,
double timeZone,
IVec northDir,
int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
|
static IVec |
direction(double altitude,
double azimuth,
IVec northDir)
converting azimuth and altitude to XYZ vector |
IVec |
direction(int year,
int month,
int day,
double hour)
|
IVec |
direction(int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
|
IVec |
direction(int year,
int month,
int day,
int hour,
double minute)
|
IVec |
direction(int year,
int month,
int day,
int hour,
double minute,
boolean daylightSavingTime)
|
IVec |
direction(int year,
int month,
int day,
int hour,
int minute,
double second)
|
IVec |
direction(int year,
int month,
int day,
int hour,
int minute,
double second,
boolean daylightSavingTime)
|
IVec |
directionAt(double azimuth,
int year,
int month,
int day)
solar direction vector at specified azimuth on the date |
IVec |
directionAt(double azimuth,
int year,
int month,
int day,
int sampleNumber)
solar direction vector at specified azimuth on the date |
IVec |
directionAt(IVec azimuthDir,
int year,
int month,
int day)
solar direction vector at specified azimuth on the date |
static int |
endDayOfMonth(int year,
int month)
|
IVec |
highestDirAt(double azimuth,
int year)
highest solar vector in the specified azimuth through the year |
IVec |
highestDirAt(double azimuth,
ISun.DateRange dates)
highest solar vector in the specified azimuth through the year |
IVec |
highestDirAt(double azimuth,
ISun.DateRange dates,
int sampleNumber)
highest solar vector in the specified azimuth through the year |
IVec |
highestDirAt(IVec azimuthDir,
int year)
highest solar vector in the specified azimuth through the year |
IVec |
highestDirAt(IVec azimuthDir,
ISun.DateRange dates)
highest solar vector in the specified azimuth through the year |
double |
hourAt(double azimuth,
int year,
int month,
int day,
boolean daylightSavingTime)
search hour in the specified date when sun comes in the direction of azimuth |
double |
hourAt(double azimuth,
int year,
int month,
int day,
boolean daylightSavingTime,
int sampleNumber)
search hour in the specified date when sun comes in the direction of azimuth |
double |
hourAt(IVec azimuthDir,
int year,
int month,
int day,
boolean daylightSavingTime)
search hour in the specified date when sun comes in the direction of azimuth |
static java.lang.String |
hourStr(double deg)
|
static boolean |
isLeapYear(int year)
convert count of days from Jan 1st to month and date. |
static double |
julianDate(int year,
int month,
int day,
double hour)
converting calender dates into julian dates. |
static double |
localSiderealTime(double lng,
double jd)
convert from local civil time to local mean siderial time. |
ISun |
location(double latitude,
double longitude,
double timeZone)
setting location |
ISun |
location(double latitude,
double longitude,
double elevation,
double timeZone)
setting location |
ISun |
location(double latitude,
double longitude,
double elevation,
double timeZone,
IVec northDir)
setting location |
ISun |
location(double latitude,
double longitude,
double timeZone,
IVec northDir)
setting location |
ISun |
location(ISun.City city)
setting location |
ISun |
location(ISun.City city,
IVec northDir)
setting location |
ISun |
location(ISun.Location location)
setting location |
ISun |
location(ISun.Location location,
IVec northDir)
setting location |
IVec[] |
lowestAndHighestDirAt(double azimuth,
int year)
highest and lowest solar vector in the specified azimuth through the year |
IVec[] |
lowestAndHighestDirAt(double azimuth,
ISun.DateRange dates)
highest and lowest solar vector in the specified azimuth through the year |
IVec[] |
lowestAndHighestDirAt(double azimuth,
ISun.DateRange dates,
int sampleNumber)
highest and lowest solar vector in the specified azimuth through the year |
IVec[] |
lowestAndHighestDirAt(IVec azimuthDir,
int year)
highest and lowest solar vector in the specified azimuth through the year |
IVec[] |
lowestAndHighestDirAt(IVec azimuthDir,
ISun.DateRange dates)
highest and lowest solar vector in the specified azimuth through the year |
IVec |
lowestDirAt(double azimuth,
int year)
lowest solar vector in the specified azimuth through the year |
IVec |
lowestDirAt(double azimuth,
ISun.DateRange dates)
lowest solar vector in the specified azimuth through the year |
IVec |
lowestDirAt(double azimuth,
ISun.DateRange dates,
int sampleNumber)
lowest solar vector in the specified azimuth through the year |
IVec |
lowestDirAt(IVec azimuthDir,
int year)
lowest solar vector in the specified azimuth through the year |
IVec |
lowestDirAt(IVec azimuthDir,
ISun.DateRange dates)
lowest solar vector in the specified azimuth through the year |
static void |
main(java.lang.String[] args)
|
double |
maxAltitudeAt(double azimuth,
int year)
max altitude angle in the specified azimuth through the year |
double |
maxAltitudeAt(double azimuth,
ISun.DateRange dates)
max altitude angle in the specified azimuth through the year |
double |
maxAltitudeAt(double azimuth,
ISun.DateRange dates,
int sampleNumber)
max altitude angle in the specified azimuth through the year |
double |
maxAltitudeAt(IVec azimuthDir,
int year)
max altitude angle in the specified azimuth through the year |
double |
maxAltitudeAt(IVec azimuthDir,
ISun.DateRange dates)
max altitude angle in the specified azimuth through the year |
double |
minAltitudeAt(double azimuth,
int year)
min altitude angle in the specified azimuth through the year |
double |
minAltitudeAt(double azimuth,
ISun.DateRange dates)
min altitude angle in the specified azimuth through the year |
double |
minAltitudeAt(double azimuth,
ISun.DateRange dates,
int sampleNumber)
min altitude angle in the specified azimuth through the year |
double |
minAltitudeAt(IVec azimuthDir,
int year)
min altitude angle in the specified azimuth through the year |
double |
minAltitudeAt(IVec azimuthDir,
ISun.DateRange dates)
min altitude angle in the specified azimuth through the year |
double[] |
minAndMaxAltitudeAt(double azimuth,
int year)
max altitude angle in the specified azimuth through the year |
double[] |
minAndMaxAltitudeAt(double azimuth,
ISun.DateRange dates)
max altitude angle in the specified azimuth through the year |
double[] |
minAndMaxAltitudeAt(double azimuth,
ISun.DateRange dates,
int sampleNumber)
max altitude angle in the specified azimuth through the year |
double[] |
minAndMaxAltitudeAt(IVec azimuthDir,
int year)
max altitude angle in the specified azimuth through the year |
double[] |
minAndMaxAltitudeAt(IVec azimuthDir,
ISun.DateRange dates)
max altitude angle in the specified azimuth through the year |
static double |
mod(double x,
double mod)
cyclic modulus operation including negative range |
ISun |
northDir(IVec northDirection)
set north direction on XY plane |
ISun |
northDirection(IVec northDirection)
|
static double[] |
nutate(double julianDate)
|
static double[] |
precess(double rightAscension,
double declination,
double equinox1,
double equinox2,
boolean fk4)
|
static double[][] |
precessMatrix(double equinox1,
double equinox2,
boolean fk4)
|
ISun |
time(int year,
int month,
int day,
double hour)
setting time |
ISun |
time(int year,
int month,
int day,
double hour,
boolean daylightSavingTime)
setting time |
ISun |
time(int year,
int month,
int day,
int hour,
double minute)
setting time |
ISun |
time(int year,
int month,
int day,
int hour,
double minute,
boolean daylightSavingTime)
setting time |
ISun |
time(int year,
int month,
int day,
int hour,
int minute,
double second)
setting time |
ISun |
time(int year,
int month,
int day,
int hour,
int minute,
double second,
boolean daylightSavingTime)
setting time |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static int bufferSampleNum
public double latitude
public double longitude
public double elevation
public double timeZone
public int year
public int month
public int day
public double hour
public boolean daylightSaving
public IVec dir
public double azimuth
public double altitude
public boolean updateAngle
public IVec northDir
public java.util.ArrayList<ISun.SearchBuffer> buffers
public static boolean precessionCorrection
public static boolean nutationCorrection
public static boolean aberrationCorrection
public static boolean refractionCorrection
public static boolean measureAzimuthFromSouth
| Constructor Detail |
|---|
public ISun()
public ISun(double latitude, double longitude, double elevation, double timeZone, IVec northDir, int year, int month, int day, double hour, boolean daylightSavingTime)
public ISun(double latitude, double longitude, double elevation, double timeZone, int year, int month, int day, double hour, boolean daylightSavingTime)
public ISun(double latitude, double longitude, double elevation, double timeZone, IVec northDir)
public ISun(double latitude, double longitude, double elevation, double timeZone)
public ISun(double latitude, double longitude, double timeZone, IVec northDir)
public ISun(double latitude, double longitude, double timeZone)
public ISun(ISun.City city, IVec northDir)
public ISun(ISun.City city)
public ISun(ISun.Location location, IVec northDir)
public ISun(ISun.Location location)
| Method Detail |
|---|
public ISun time(int year, int month, int day, int hour, int minute, double second, boolean daylightSavingTime)
public ISun time(int year, int month, int day, int hour, int minute, double second)
public ISun time(int year, int month, int day, int hour, double minute, boolean daylightSavingTime)
public ISun time(int year, int month, int day, int hour, double minute)
public ISun time(int year, int month, int day, double hour, boolean daylightSavingTime)
public ISun time(int year, int month, int day, double hour)
public ISun location(double latitude, double longitude, double elevation, double timeZone, IVec northDir)
public ISun location(double latitude, double longitude, double elevation, double timeZone)
public ISun location(double latitude, double longitude, double timeZone, IVec northDir)
public ISun location(double latitude, double longitude, double timeZone)
public ISun location(ISun.City city, IVec northDir)
public ISun location(ISun.City city)
public ISun location(ISun.Location location, IVec northDir)
public ISun location(ISun.Location location)
public ISun northDir(IVec northDirection)
public ISun northDirection(IVec northDirection)
public IVec direction(int year, int month, int day, int hour, int minute, double second, boolean daylightSavingTime)
public IVec direction(int year, int month, int day, int hour, int minute, double second)
public IVec direction(int year, int month, int day, int hour, double minute, boolean daylightSavingTime)
public IVec direction(int year, int month, int day, int hour, double minute)
public IVec direction(int year, int month, int day, double hour, boolean daylightSavingTime)
public IVec direction(int year, int month, int day, double hour)
public IVec direction()
public IVec dir(int year, int month, int day, int hour, int minute, double second, boolean daylightSavingTime)
public IVec dir(int year, int month, int day, int hour, int minute, double second)
public IVec dir(int year, int month, int day, int hour, double minute, boolean daylightSavingTime)
public IVec dir(int year, int month, int day, int hour, double minute)
public IVec dir(int year, int month, int day, double hour, boolean daylightSavingTime)
public IVec dir(int year, int month, int day, double hour)
public IVec dir()
public double azimuth(int year, int month, int day, int hour, int minute, double second, boolean daylightSavingTime)
public double azimuth(int year, int month, int day, int hour, int minute, double second)
public double azimuth(int year, int month, int day, int hour, double minute, boolean daylightSavingTime)
public double azimuth(int year, int month, int day, int hour, double minute)
public double azimuth(int year, int month, int day, double hour, boolean daylightSavingTime)
public double azimuth(int year, int month, int day, double hour)
public double azimuth()
public double altitude(int year, int month, int day, int hour, int minute, double second, boolean daylightSavingTime)
public double altitude(int year, int month, int day, int hour, int minute, double second)
public double altitude(int year, int month, int day, int hour, double minute, boolean daylightSavingTime)
public double altitude(int year, int month, int day, int hour, double minute)
public double altitude(int year, int month, int day, double hour, boolean daylightSavingTime)
public double altitude(int year, int month, int day, double hour)
public double altitude()
public double[] angles(int year, int month, int day, int hour, int minute, double second, boolean daylightSavingTime)
public double[] angles(int year, int month, int day, int hour, int minute, double second)
public double[] angles(int year, int month, int day, int hour, double minute, boolean daylightSavingTime)
public double[] angles(int year, int month, int day, int hour, double minute)
public double[] angles(int year, int month, int day, double hour, boolean daylightSavingTime)
public double[] angles(int year, int month, int day, double hour)
public double[] angles()
public ISun calc()
public double hourAt(IVec azimuthDir, int year, int month, int day, boolean daylightSavingTime)
public double hourAt(double azimuth, int year, int month, int day, boolean daylightSavingTime)
public double hourAt(double azimuth, int year, int month, int day, boolean daylightSavingTime, int sampleNumber)
public double altitudeAt(IVec azimuthDir, int year, int month, int day)
public double altitudeAt(double azimuth, int year, int month, int day)
public double altitudeAt(double azimuth, int year, int month, int day, int sampleNumber)
public IVec directionAt(IVec azimuthDir, int year, int month, int day)
public IVec directionAt(double azimuth, int year, int month, int day)
public IVec directionAt(double azimuth, int year, int month, int day, int sampleNumber)
public IVec dirAt(IVec azimuthDir, int year, int month, int day)
public IVec dirAt(double azimuth, int year, int month, int day)
public IVec dirAt(double azimuth, int year, int month, int day, int sampleNumber)
public double minAltitudeAt(IVec azimuthDir, int year)
public double minAltitudeAt(double azimuth, int year)
public double minAltitudeAt(IVec azimuthDir, ISun.DateRange dates)
public double minAltitudeAt(double azimuth, ISun.DateRange dates)
public double minAltitudeAt(double azimuth, ISun.DateRange dates, int sampleNumber)
public double maxAltitudeAt(IVec azimuthDir, int year)
public double maxAltitudeAt(double azimuth, int year)
public double maxAltitudeAt(IVec azimuthDir, ISun.DateRange dates)
public double maxAltitudeAt(double azimuth, ISun.DateRange dates)
public double maxAltitudeAt(double azimuth, ISun.DateRange dates, int sampleNumber)
public double[] minAndMaxAltitudeAt(IVec azimuthDir, int year)
public double[] minAndMaxAltitudeAt(double azimuth, int year)
public double[] minAndMaxAltitudeAt(IVec azimuthDir, ISun.DateRange dates)
public double[] minAndMaxAltitudeAt(double azimuth, ISun.DateRange dates)
public double[] minAndMaxAltitudeAt(double azimuth, ISun.DateRange dates, int sampleNumber)
public IVec lowestDirAt(IVec azimuthDir, int year)
public IVec lowestDirAt(double azimuth, int year)
public IVec lowestDirAt(IVec azimuthDir, ISun.DateRange dates)
public IVec lowestDirAt(double azimuth, ISun.DateRange dates)
public IVec lowestDirAt(double azimuth, ISun.DateRange dates, int sampleNumber)
public IVec highestDirAt(IVec azimuthDir, int year)
public IVec highestDirAt(double azimuth, int year)
public IVec highestDirAt(IVec azimuthDir, ISun.DateRange dates)
public IVec highestDirAt(double azimuth, ISun.DateRange dates)
public IVec highestDirAt(double azimuth, ISun.DateRange dates, int sampleNumber)
public IVec[] lowestAndHighestDirAt(IVec azimuthDir, int year)
public IVec[] lowestAndHighestDirAt(double azimuth, int year)
public IVec[] lowestAndHighestDirAt(IVec azimuthDir, ISun.DateRange dates)
public IVec[] lowestAndHighestDirAt(double azimuth, ISun.DateRange dates)
public IVec[] lowestAndHighestDirAt(double azimuth, ISun.DateRange dates, int sampleNumber)
public static double azimuth(double latitude, double longitude, double elevation, double timeZone, int year, int month, int day, double hour, boolean daylightSavingTime)
public static double altitude(double latitude, double longitude, double elevation, double timeZone, int year, int month, int day, double hour, boolean daylightSavingTime)
public static double azimuth(IVec azimuthDir, IVec northDirection)
public static IVec dir(double latitude, double longitude, double elevation, double timeZone, IVec northDir, int year, int month, int day, double hour, boolean daylightSavingTime)
public static IVec direction(double latitude, double longitude, double elevation, double timeZone, IVec northDir, int year, int month, int day, double hour, boolean daylightSavingTime)
public static IVec direction(double altitude, double azimuth, IVec northDir)
public static double[] angles(double latitude, double longitude, double elevation, double timeZone, int year, int month, int day, double hour, boolean daylightSavingTime)
public static double[] calcAngle(double latitude, double longitude, double elevation, double timeZone, int year, int month, int day, double hour, boolean daylightSavingTime)
public static double[] calcEquatorialCoordinates(double julianDate)
public static double[] calcHorizontalCoordinates(double rightAscension, double declination, double julianDate, double latitude, double longitude, double elevation, double eclipticLongitude)
public static double corefract(double altitudeAngle, double elevation)
public static double corefractForward(double altitudeAngle, double pressure, double temperature)
public static double localSiderealTime(double lng, double jd)
public static double[] coaberration(double julianDate, double rightAscension, double declination, double eps, double eclipticLongitude)
public static double[] nutate(double julianDate)
public static double julianDate(int year, int month, int day, double hour)
hour
- and fraction of hour (including min, sec, ...public static double[] conutate(double julianDate, double rightAscension, double declination)
public static double[] precess(double rightAscension, double declination, double equinox1, double equinox2, boolean fk4)
public static double[][] precessMatrix(double equinox1, double equinox2, boolean fk4)
public static java.lang.String degStr(double deg)
public static java.lang.String hourStr(double deg)
public static java.lang.String adstring(double ra)
public static double mod(double x, double mod)
public static void main(java.lang.String[] args)
public static boolean isLeapYear(int year)
public static int endDayOfMonth(int year, int month)
|
||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


- BLOSUM-k (BLOcks SUbstitution Matrix) is a scoring matrix that shows the relationship between ith and jth letters.
The matrix is created by clustering similar sequences (where K represents the percentage of sequences that were identical) into one single sequence and then comparing those sequences.
In the matrix, positive numbers indicate that mutation between the two letters is likely. The magnitude of the number shows the degree of proximity.
The BLOSUM62 matrix


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Our Double rooms, triple rooms and family accommodation/apartment at Filyra are all designed with their own names and characters: Emerald, Ruby, Coral, Diamond, Amethyst & Amber, precious names reflecting the quality of accommodation and colours used in the decoration.
Discover our rooms, by clicking on the one you want to see.


Maestro Reorin:
The perfect Wizard's Tear! This will suit our purpose admirably.
So, what kind of A-Grade weapon do you want? I can make quite a variety; I am practically a walking blueprint library! Ask, and I'll make it right away.


Evaluating the effect of accuracy of kinetic models in realistic simulations
Abstract
Reaction mechanisms that describe the oxidation of a fuel are huge with several thousands of individual steps. While using them in computations, compact representation of these schemes are essential. The question however that is not addressed is how compact a mechanism is correct for the objective of interest. Normally, reduced mechanisms are obtained by preserving certain combustion targets, but what are the ramifications when running them through a realistic computation?
Simply put, is the reduced mechanism when run through complex calculations yielding accurate results? To what degree?
As a part of the project, the student will be involved in generating reduced mechanisms, using them in simulations, and interpreting the observations.
Pre-requisite
Penchant to pick up computation fundaes and interest in combustion; Prior background in combustion and computations is highly desirable.
Additional details
Position: Project associate
Selection procedure: Personal interview.
If interested, write to me with a subject line that includes the title of the topic and your CV. If your application is found suitable, you will receive an intimation for a personal interview.


The Guest House comprises 4 units, connected to a common living area including a dining area, an equipped kitchen and a living room. This living space has a large bay window linking to outdoor spaces.
The maximum capacity of the Guest House is 10 people
All suites are equipped with:
The organization of the building allows to use each suite independently of each other.
Suites:
See also:
On the 1st floor of the Guest House, a sober and comfortable 16m² bedroom, with quality bedding (140x200 cm).
25m² master suite with a sleeping area and a lounge area (including a 140cm sofa bed).
The bedding is composed of a twin bed (2 x 80x200 cm).
45m² master suite with sitting area (including a 160cm sofa bed), a desk and a fitted kitchen (with sink, microwave, kettle and fridge).
The bedding is composed of a twin bed (2 x 80x200cm).
Separated by a staircase, the Mimosa and Bougainvillea suites can be connected, for large families.
16m² room with an area of 16 m² with quality bedding (140x200 cm).
Shared space of 60m², with a dining area, a sitting area, and a kitchen including:
Completely secured, without vis-à-vis, with a wooden terrace and a small lawn. Deckchairs and table tennis are at your disposal.
Provencal swimming pool of (3,6x10m, 1,50m deep) including a higher area to paddle with the youngest.
A gas BBQ (half plancha, half BBQ) in self-service.
A large table is ready to gather the guests of the house


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| S | stats toolbox needed | I | interactive (user input required) |
| B | bioinformatics toolbox needed | M | matlab needed (will not work in octave) |
| O | optimization toolbox needed | W | windows needed (will not work in linux) |
| X | currently broken | * | slow (two stars indicates very slow) |
| FILE | DESCRIPTION | TAGS |
|---|---|---|
| binaryPca\binaryPcaDemoTipping | This file is from pmtk3.googlecode.com | |
| binaryPca\binaryPcaFitVarEm | Y(i,n) is the n'th example - each COLUMN is an example | |
| binaryPca\imputeBinaryPCAdemo | each example is a ROW vector | |
| binaryPca\imputeBinaryVectorPCA | y(i) in {0,1,NaN} where NaN represents missing data | |
| binaryPca\varInferLogisticGauss | Use a variational approximation to infer a Gaussian posterior | |
| binaryPca\varInferLogisticGaussCanonical | Use a variational approximation to infer a Gaussian posterior | |
| ppcaCreate | Construct a ppca model | |
| ppcaFit | Probabilistic PCA - find MLEs | |
| ppcaInfer | Probabilistic PCA - compute posterior on Z | |
| ppcaInferLatent | Probabilistic PCA - compute posterior on Z | |
| ppcaLogprob | logp(i) = log N(X(i,:) | mu, C) where C = W W' + sigma^2 I(d) | |
| ppcaReconstruct | Compress X then reconstruct it in Xhat | |
| ppcaSample | Sample from a PPCA model | |
| sub\faKmax | Find max number of possible latnet dimensions in factor analysis | |
| sub\laplace_pca | Estimate latent dimensionality by Laplace approximation. | |
| sub\pcaFitEm | Principal component analysis using EM | |
| sub\pcaPmtk | An efficient PCA implementation | |
| sub\ppca_mv | Implements probabilistic PCA for data with missing values | |
| sub\screeplotChooseDim | Use the profile likelihood method of Zhu and Ghodsi (2006) to pick L |


gnfindrr
is an experimental R wrapper for the gnfinder library for scientific name discovery in texts created by Dmitry Mozzherin.
gnfinder
forms part of the Global Names Architecture (GNA) suite of tools for working with taxonomic names and biodiversity data. gnfinder
is presently available as a command line tool and can also be used as a gRPC service, a library or in a docker container. gnfinder
is used to text mine the Biodiversity Heritage Library for taxonomic names at the scale of millions of pages.
gnfinderr
has the modest ambition of providing a thin wrapper in R with a focus on text mining smaller data frames and returning data frames to the user. gnfinderr
uses the tidyverse and includes the pipe %>%
.
gnfinderr
is not intended for use on large datasets (as it will take a very long time). For that use gnfinder
directly. What gnfinderr
is useful for is smaller datasets of upto a few thousand texts. This will give you a good flavour of what you can do with gnfinder
if you are interested in scaling up later on.
gnfinderr
is at an early experimental stage and presently just maps the main results to a data frame.
To work with gnfinderr
you need to install gnfinder
as a command line app for your operating system as described here https://github.com/gnames/gnfinder. These steps are reproduced below.
Step 1: Get the latest release for your operating system from here https://github.com/gnames/gnfinder/releases
Make sure that you download the right version for your system to avoid considerable confusion.
Step 2: Linux or OSX
Move gnfinder
executable somewhere in your PATH (for example /usr/local/bin)
Step 2: Windows
Here you have options.
One possible way would be to create a default folder for executables and place gnfinder
there.
Use Windows+R keys combination and type “cmd”. In the appeared terminal window type:
Add C:directory to your PATH environment variable.
Step 3: Test run gnfinder
In terminal bring up the gnfinder
page.
Run a quick query:
You are good to go.
Step 4: install gnfinderr
gnfinderr
is not on CRAN. The development version can be installed from GitHub with:
# install.packages("devtools") devtools::install_github("poldham/gnfinderr")
This is presently a one function package.
library(gnfinderr) intro <- gnfinder(string = c("Lepidium meyennii is a hot plant.", "Escherichia coli is not a plant at all"))
gnfinderr
is intended to be informative and to fail fast. The default search uses the combination of dictionaries and bayes regression that power gnfinder and will check any names discovered against the Catalogue of Life (by default)
An id column is generated and mapped to the input texts to facilitate joins. Alternatively you can provide ids at input. Example datasets of various sizes are provided to experiment with. Be warned that the zootaxa_titles
dataset with 20,000 titles takes a long time to run. Here we use the small fivetexts
dataset to pass document ids to join the results.
Most of the functions from gnfinder
are available in gnfinderr
(except language options and metadata is not returned). By default all available arguments are TRUE (bayes is on). We can change the setting by entering a value in the relevant argument.
Turning off check_names will speed up processing and simplify the returns:
You can also turn off the Bayes regression by entering a value for nobayes
:
df <- gnfinder(string = five$text, id = five$id, nobayes = TRUE, check_names = FALSE)
In general name discovery in texts is facilitated by leaving the bayes setting as is.
When working with gnfinder it is best to be selective in the use of texts to facilitate matching. Thus, if you include article metadata such as author names and organisations you may get unexpected false positive matches.
By default gnfinderr
checks names against the Catalogue of Life Taxonomy. The results are returned in a set of data.frames under verification and include a best result.
For a list of available sources see https://index.globalnames.org/datasource. Here we will check against:
We can specify the source we would like to check by supplying a vector of ids to source_ids
.
This will return a tibble (data frame) that contains other data frames under verification
.
df$verification
The verification table contains bestresult and preferredresults dfs, where the best result is for the best match and the preferred results are from the taxonomic services in source_ids
. These tables include details of the taxon ids and taxonomic hierarchy.
gnfinder
works with UTF8 texts and should not be expected to work with other kinds of texts. If you don’t know whether you have utf8 formatted text the package should tell you when you enter your texts.
R runs on a single core and so, for the time being, does gnfinderr
. Work is planned to explore options for running in parallel. As such, expect the package to be slow on large numbers of texts. Turn off check_names
for a performance boost.
At this early stage the focus is on:
Suggestions and comments are welcome on the Github Issues page. A Code of Conduct is provided for collaborators.


This information appears on the installation profile, organization pages, search results, and beyond. It should be the same as found in the GBIF internal systems, such as the IMS
Enable advanced editing mode
Enter an accurate installation title as it is used in many key places.
Provide a meaningful description of the installation, so a user will understand what the installation is.
Important Changing this will update hosting organization on all occurrence records.
It is expected that this may be changed occasionally, but be vigilant in changes as this has potential to spawn significant processing for occurrence records, metrics and maps
Important Has significant impact on crawlers
When changing this, verify all services are also updated for the installation, and every dataset served. Most likley you do not want to change this field, but rather create a new installation of the correct type, and migrate datasets. Use this with extreme caution
A deletion may be reverted at a later date
Important While a deletion may be undone, it will likely trigger significant processing


@* * 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 helper.CSRF @import uk.gov.hmrc.govukfrontend.views.html.components._ @import uk.gov.hmrc.govukfrontend.views.html.components.implicits._ @import uk.gov.hmrc.govukfrontend.views.html.components.GovukErrorSummary @this(govukWrapper: views.html.govuk_wrapper, govukInsetText : GovukInsetText, govukBackLink : GovukBackLink, govukButton : GovukButton, govukInput : GovukInput, govukErrorSummary : GovukErrorSummary) @(form: Form[YourDetails])(implicit request: Request[_], messages: Messages, appConfig: config.AppConfig) @govukWrapper(title = if(form.hasErrors) messages("error.title", messages("title.your-details")) else messages("title.your-details")) { @govukBackLink(BackLink( href = "#", content = Text("Back"), classes = "js-enabled", attributes = Map("id" -> "back", "data-module" -> "hmrc-back-link", "data-journey-click" -> "navigation - link:Your name and contact details:Back") )) @if(form.hasErrors) { @govukErrorSummary(ErrorSummary(errorList = form.errors.asTextErrorLinks, title = Text(messages("validation.summary.heading")))) }


## Who am I?
[@anttiviljami](http://twitter.com/anttiviljami)
- Anti-digitalist
- "Forbes featured Hacker"
- APIs, DevOps, Open Source @Futurice
### Microservices for Kesko Oyj
Hiding hard business problems behind simple APIs
### APIOps Volunteer
Livestreaming code #APIOpsLive, meetups
![APIOpsLive](assets/apiopslive.png)
## Why talk about bad APIs?
It's fun and makes me feel better about myself!
But mostly it helps you avoid common mistakes.
### Disclaimer:
- The APIs and issues described in the following story are fictional.
- They are a combination of multiple bad API developer experiences from multiple different APIs and projects.
- Any similarity to real APIs or projects is completely coincidental.
"We have these APIs for 3rd party services but we would like you to build new ones on top of those."
Can't be that bad, right?
Just integrations. Probably some orchestration logic.
Let's look at the first API!
### It's SOAP
Not off to a great start. But at least I know SOAP
... No API docs available.
but SOAP APIs are self-documenting!
### Problem #1: Missing or incomplete documentation
You should at least have a README with a few example requests somewhere...
### Well, at least we have the WSDL!
Wait. I can't see the WSDL? I thought this was a SOAP api?
### Problem #2
Turns out the API is behind a gateway product that doesn't fully support SOAP, so no WSDL for us.
### Solution:
We'll just email you the WSDL file.
Not optimal, but ok. We can work with that.
### Time to set up a SOAP client and use the WSDL to explore!
```
Error reading WSDL:
Target namespace already in use by another Schema
```
### Problem #3
The WSDL file doesn't work with my SOAP client.
(or any other client that I could find)
```
<xs:schema targetNamespace="http://someschema.org/schema" ...>
<xs:schema targetNamespace="http://someschema.org/schema" ...>
```
### Solution:
Let's just merge the elements manually.
```
<xs:schema targetNamespace="http://someschema.org/schema" ...>
```
Again, not optimal but workable.
### Finally! My SOAP client is set up. I can start exploring the API.
### Let's try LookupMember.
Looks like a pretty basic getter. SoapUI generated this example request:
```
<ns1:lookupMember>
<ns1:request>
<ns1:memberId>1</ns1:memberId>
</ns1:request>
</ns1:lookupMember>
```
### 200 OK
```xml
<faultcode>env:Server</faultcode>
<faultstring>java.lang.NullPointerException</faultstring>
```
### Problem #4: HTTP status misuse
Not using HTTP error codes properly.
### Problem #5: Bad Error messages
As an API consumer, `java.lang.NullPointerException` isn't very useful.
So we had to ask for help...
Since there's absolutely no available documentation, I had to contact the client via email to ask for help from the API vendor.
It took three days and 7 emails to get to the person who was able to provide proof of a working example request..
### Problem #6: Hard to get help
```xml
<ns1:lookupMember>
<request>
<memberId>1</memberId>
</request>
</ns1:lookupMember>
```
But the example worked!
(Only the root element supports namespacing in this API)
### 200 OK
```
<return>
<guid>47e119f5-ebe4-48f9-8a83-d2feca66c33d</guid>
<memberId>1</memberId>
<Name>Jane Doe</Name>
<EMAIL_ADDRESS><BirthDate>1988-01-01</BirthDate>
</return>
```
## Let's try a setter!
```
<ns1:addMember>
<request>
<Name>John Doe</Name>
<EMAIL_ADDRESS><BirthDate>1980-01-01</BirthDate>
</request>
</ns1:addMember>
```
### 200 OK
It worked!
```xml
<env:result>
<memberId>2</memberId>
</env:result>
```
### However...
Now I need to do another getMember request to actually fetch the generated UUID for the customer.
### Problem #7: Chatty APIs
Chatty APIs require you to send multiple requests synchronously to achieve simple CRUD tasks.
### Fine.
We can live with that. Moving on!
Email should be a unique index, let's see what error message we get if we send a duplicate
```
<ns1:addMember>
<request>
<Name>John Doe</Name>
<EMAIL_ADDRESS><BirthDate>1980-01-01</BirthDate>
</request>
</ns1:addMember>
```
### 200 OK
```xml
<faultcode>com.mysoap.member.types.SOAPServiceFault</faultcode>
<faultstring>Personen kan inte lagras, det finns
redan en person med e-post<EMAIL_ADDRESS>```
### Problem #5 (again): Bad Error Messages
Error messages in swedish?!?
Machine readable error messages, and preferably US english descriptions would be nice...
### Let's try one more SOAP method
GetMemberByUUID looks simple enough...
```
<ns1:getMemberByUUID>
<request>
<guid>47e119f5-ebe4-48f9-8a83-d2feca66c33d</guid>
</request>
</ns1:getMemberByUUID>
```
### 200 OK
Seems to work!
```
<result>
<guid>47e119f5-ebe4-48f9-8a83-d2feca66c33d</guid>
<memberId>1</memberId>
<Name>Jane Doe</Name>
<EMAIL_ADDRESS><BirthDate>1988-01-01</BirthDate>
</result>
```
Wait. That's wrapped in `<result>`.
LookupMember response looked like this
```
<return>
<guid>47e119f5-ebe4-48f9-8a83-d2feca66c33d</guid>
<memberId>1</memberId>
<Name>Jane Doe</Name>
<EMAIL_ADDRESS><BirthDate>1988-01-01</BirthDate>
</return>
```
### Problem 8: Inconsistent API responses
Handling inconsistent responses in your code is a nightmare.
### Ok, time to look at another API.
Can't be as bad as the previous one...
"It's a REST API".
Hint: It's never a REST API
They have OpenAPI (Swagger) documentation.
This is awesome!
I can use Swagger UI to explore!
### Let's explore
How about...
GET /pet/1
### 200 - OK
```
{
"id": 1,
"name": "Lassie"
"properties": [
{
"name": "age",
"type": "integer",
"value": "2"
},
{
"name": "gender",
"type": "enum",
"value": "female,
}
]
}
```
Well it works, but that's kind of a weird data structure.
### Problem #9: Bad models
This is a Pet Peeve. I hate parsing these in my API consumer code.
Why do this?
```
{
"id": 1,
"name": "Lassie"
"properties": [
{
"name": "age",
"type": "integer",
"value": "2"
}
]
}
```
If you can just do this
```
{
"id": 1,
"name": "Lassie",
"age": 2,
}
```
`POST /pet`
Payload:
```
{
"name": "Garfield",
"age": 6,
"gender": "male"
}
```
### 200 OK
```
{
"status": "QUEUED",
"uuid": "bdad5485-56db-4e83-960b-63c7050701ec",
}
```
Huh?
What happened to Garfield?
Which ID did he receive?
Looks like I need to use `GET /pet-queue/{uuid}` to see what happened...
```
{
"status": "JOB_QUEUED",
"uuid": "bdad5485-56db-4e83-960b-63c7050701ec",
}
```
Great. A *really* chatty async API.
Now I need to poll this endpoint until the insert has finished...
a couple of minutes of polling later...
```
{
"status": "JOB_DONE",
"uuid": "bdad5485-56db-4e83-960b-63c7050701ec",
"result": {
"pet_id": 50232
}
}
```
### `GET /pet/50232`
```
{
"id": 50232,
"name": "Garfield"
"properties": [
{
"name": "age",
"type": "integer"
"value": "6"
},
{
"name": "gender",
"type": "enum",
"value": "male
}
]
}
```
At least it worked, but why does this operation need to be async?
```
Gateway error HTTP 504: Connection to backend timed out
```
Remember the id we got for our pet?
```
"id": 50232
```
Turns out if you don't specify a `?limit=`
query param, the API will just try to list all 50k entities in its database.
### Problem 9: Missing pagination
... At least we learned why the client wanted to abstract these APIs.
### #1 The world is full of shitty APIs
Just don't make more.
### #2 Have examples
Provide executable examples users can type directly into their terminals to see working API calls.
### #3 Describe your API using standards
GraphQL, Swagger, RAML, Blueprint. Even WSDL if you're a SOAP kind of person
### #4 Return appropriate HTTP status codes
Also see: Wikipedia, List of HTTP status codes
### #5 Generate useful structured error messages
Also helps if your API speaks a language I speak.
### #6 Avoid making chatty APIs
Does your API serve its purpose in as few requests as possible?
### #7 Keep your API responses consistent
Wrap your response in objects and name your resources consistently.
### #8 Simple models
Don't overcomplicate things with unnecessary nesting and arrays.
Use standard schema.org models if possible.
### #9 Paginate properly
It's probably good not to provide endpoints that will crash your service if improperly used
### #10 Make it easy to get help
Remember, you're building the API for a human, not a software client.
(Yes, developers are people too)
### How do I then make a good API?
### Suggested reading:
- HTTP API design by Geemus
[geemus.gitbooks.io/http-api-design](https://geemus.gitbooks.io/http-api-design/content/)
- RESTful API Guidelines by Zalando
[zalando.github.io/restful-api-guidelines](https://zalando.github.io/restful-api-guidelines/)
- Book: Philip Sturgeon - [Build APIs You Won't Hate](https://leanpub.com/build-apis-you-wont-hate)


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These are links to help you get start investing, just click the thimbnails to sign up for each. I recomend trying many alternatives and finding what works best for you through both trial and error as well as your own research. Investing can range from just passive income to a full on career but in either scenario you make money.
When it comes to investing, stocks are safest and easiest place to strat but if youve ever even looked into trading stocks, you know that brokerages love to charge commision fees. If you arent making a profit greater than the commision fees then whats the point? This is where robinhood shines. To keep things short and sweet, They are a mobile application brokerage (yes you can trade on your phone) that doesn't charge commision fees because they keep the intrest on any money you dont have invested. Boom, everyone wins. Although you really can only trade on the New York Stock exchange (NYSE) but that includes the most popular stocks such as Apple and FB so its a great place to start. If youre interested in penny stocks (any stock valued at $.05 or less) than check out fidelity below. Also if you sign up through the link above you get a free share of stock to start out!
When it comes to researching and learning about stocks, this app has become my bestfriend. This a very simple to use application that lets you input stocks in a watch list and they will automatically provide nesw articles that relate to or involve and of the stocks on your watchlist. Now they also allow you to write article yourself for a profit so it can also be a side job if you find it interesting but before you even invest I recomend using this application.
If you are a first time investor and your afraid of losing money or unsure of what you're doing then I suggest looking into this mobile application. This is currently an iOS application that lets you build a portfolio either using your own stocks by signing in with your brokerage or through 'fake' money that you can invest to test out strategies or even just to get an understanding of the stock market. It gives you a wide variety of tools that you can utilize when evealutating an investemnt in the stock market and it even gives you premade investment ideas classified such as blue chip stocks or penny stocks.
Now if youre inestested in the full stock trading expirience, then I recomend Fidelity. Getting an account with a brokerage isn't like making a FB profile since it requires your SSN but if your serious about investing then it becomes worth it. Fidelity offers many benefeits almost acting as a bank but they also let you trade penny stocks, ETFs,mutual funds, and they even offer after hours trading. You can even trade on their mobile application with ease!
When it comes to cryptocurrencies, finding the right exchange can make all the differnce in the world. Of the ones I have tried, Binance is the best for using bitcoin to buy alt coins. Is quite reliable and secure but dont just take my word for it and go try it. Now if youre trying to buy into cryptocurrencies but you only have fiat money such as USD, the next two links are for you.
So if you're even remotely familiar with cryptocurrencies, you probably know that theres a such thing called mining. Mining is essentially using PC power to check and keep track of all transactions of that particular currency. In excah
Now if you're just getting started with investing in crypto then this is what I would call the beginning step to trade USD for the most major crypto's (Bitcoin, Bitcoin Cash, Ethereum, and Litecoin). There are hundreds of alt coins but they are usually only exchangable for bitcoin or Ethereum. To start off turning cash into bitcoin, this is a great place to start given thet have a mobile application but they arent my favorite. If you want to get your feet wet with Crypto theyre a great place to start but I would also look in to gemini (below)if you want a more serious fiat to crypto exchange.
Bitconnect is an interesting platform that lets you invest your bitcoin into bitconnect coin that gains intrest that can then be reinvested automatically. I leave this this strcitly up to you to decide how to use since they have many accusations of being sketchy but so far they have been solid and they make it easy to make money off crypto.
As mentioned above, Gemini is a more professional platform that allows user to convert fiat money such as the USD to crypto currencies such as bitcoin. They have a ver easy to use platform that supports the major crypto's but their biggest draw back is that they are a webiste only platform but that shouldnt stop you from considering them. I love the platform and its also a fairly easy place to start.
Now unlike the stock market, Crypto currencies are very new and they lack good software that provides news regarding any specific coin. This application gives you the market exchange rates of all the alt coins in real time so if you want to keep an eye out on any digital currency this iOS application does a great job at that. If you want to learn more about cryptos as a whole I recomend reddit and youtube but realistically you will have to do some research on your own.
If you don't know me, my names Jonathan and I'm just a highschool graduate looking to help people make more with the money they already have. Too many people I know are in bad spots finacially so I figured why not try to help the people that I can out?  If you enjoyed this website, please click the share button below and who knows maybe this thing goes somewhere, cheers.
TweetContact Information:
Email<EMAIL_ADDRESS>Personal Instagram: jongan__
Instagram: Investassist


Hello, guys, my name is Nadzeya, I’m juniour software development.
The topic of my presentation is Grid and Flexbox.
## What is Grid and Flexbox?
Flexbox - one-dimensional layout model
Grid - two-dimensional layout model
Flexbox layout distributes space along a single column or row. Like float layouts, but better!
Flexbox, was designed as a one-dimensional layout model. flexbox gives us complete control over the alignment, direction, order, and size of our boxes.
Grid layout divides space into columns & rows. Like table layouts, but better! CSS Grid Layout introduces a two-dimensional grid system to CSS.
## Why do we love them?
## What is the difference between them?
Flexbox is designed for component layouts inside pages - navigations, forms, paginations
Grid dealing with full page layouts
- Firstly, One important difference between these two technologies is that with Flexbox you have to work with one-dimensional
layouts, so you always need to think about your layout either as rows or columns at a specific time. With CSS Grid, you can work in a two-dimensional way, which means you can work
with columns and rows at the same time!
- Secondly, It is worth mentioning that flexbox is designed for *component layouts* inside pages, to be precise, for navigations, forms, paginations, etc.
When dealing with *full page* layouts, its is better to use a CSS3 Grid Layout.
- The flex-direction property defines in which direction the container wants to stack the flex items.
- The flex-wrap property specifies whether the flex items should wrap or not.
- The justify-content property is used to align the flex items.
- The align-items property is used to align the flex items vertically.
- The flex-grow property specifies how much a flex item will grow relative to the rest of the flex items.
- The order property can change the order of the flex items
- The align-content property is used to align the flex lines.
- The align-self property specifies the alignment for the selected item inside the flexible container.
- There are Also flex-shrink and flex basis property and flex (this is a set of flex grow, flex-shrink and flex-basis)
- The flex-shrink property specifies how much a flex item will shrink relative to the rest of the flex items.
- The flex-basis property specifies the initial length of a flex item. It has a priority comparing with width property.
First steps: create a container and put inside items
html:
css:
.parent {
display: flex;
}
The first step in using flexbox is to turn one of our HTML elements into a flex container. We do this with the display property.
By giving it a value of flex, we’re telling the browser that everything in the box should be rendered with flexbox instead of the default box model.
The flex-direction property defines in which direction the container wants to stack the flex items:
- The column value stacks the flex items vertically (from top to bottom)
- The column-reverse value stacks the flex items vertically (but from bottom to top)
- The row value stacks the flex items horizontally (from left to right)
- The row-reverse value stacks the flex items horizontally (but from right to left)
The flex-wrap property specifies whether the flex items should wrap or not:
- The wrap value specifies that the flex items will wrap if necessary
- The nowrap value specifies that the flex items will not wrap (this is default)
- The wrap-reverse value specifies that the flexible items will wrap if necessary, in reverse order
The justify-content property is used to align the flex items:
- The center value aligns the flex items at the center of the container
- The flex-start value aligns the flex items at the beginning of the container (this is default)
- The flex-end value aligns the flex items at the end of the container
- The space-around value displays the flex items with space before, between, and after the lines
- The space-between value displays the flex items with space between the lines
Responsible design with flexbox layout
An example how we can implement responsible design using flex-box
- The amount of columns and rows we can do with grid-template-columns and grid-template-rows
We can do it with grid-template-columns and grid-template-rows. We can use percentage, px, fraction,
auto and their combination.
- The gap CSS property sets the gaps (gutters) between rows and columns.
- The grid-area property can be used as a shorthand property for the grid-row-start, grid-column-start, grid-row-end and
- the grid-column-end properties.
- The grid-area property can also be used to assign names to grid items.
- The grid-template-areas CSS property specifies named grid areas.
First step: create a container and put inside items
html:
css:
.grid-container {
display: grid;
}
- To create grid layout is easy. You should do it in a few steps:
in html: create container:
and put into your elements
- in css:
add to continer display: grid
Next step is to determine the columns and rows in the grid and their size.
css:
.grid-container {
display: grid;
grid-template-columns: auto auto; /* 2 columns */
grid-template-rows: auto auto auto; /* 3 rows */
grid-gap: 10px;
background-color: #2196F3;
}
- Next step is to define how many columns and rows we have in grid and their size. In our example we define 2 columns and 3 rows with auto size.
- We can do it with grid-template-columns and grid-template-rows.
- We add grid gap property 10px.
Result:
Usage grid-template-areas to define position of items inside grid
.grid-container {
display: grid;
grid-template-areas: "logo stats"
"score stats"
"board board"
". controls";
}
.logo { grid-area: logo; }
.score { grid-area: score; }
.stats { grid-area: stats; }
.board { grid-area: board; }
.controls { grid-area: controls; }
Result:
Responsible design with grid layout
An example how we can implement responsible design using grid
92% of global website traffic supports CSS Grid and 98.61% - Flexbox
... That sounds good!!!
Before we end of presentation we have to talk about browser support as well.
92% of global website traffic supports CSS Grid and 98.61% - Flexbox.
Summary:
- Flexbox and Grid are powerful tool
- They make code clear
- Friendly to flexible adaptive design
- Easier to maintain
- Solved problems with vertical alignment and positioning elements
- Highly supported by browsers
- CSS Grid is best used for two-dimensional layouts, meaning columns and rows. Think big picture, and overall layout of the page.
- Flexbox works best in one-dimension (columns or rows). Think individual content areas, such as a menu or sidebar.
- There’s no reason to only use Grid or Flexbox exclusively.
- They work best when used together, and doing such will leave you with much cleaner and maintainable code.
Thank you for attention!!!
Thanks for listening!
if you have any questions, I'd be happy to answer them now.


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Resume
5500 Wabash Avenue, Box 448 Terre Haute, IN 47803 |<PHONE_NUMBER> |<EMAIL_ADDRESS>Objective
Obtain a fulltime position as a software engineer
Education
Bachelor of Computer Science and Software Engineering, Rose-Hulman Institute of Technology, Terre Haute, Indiana
Related Courses: Object-Oriented Software Development, Data Structures and Algorithms, Database Systems, Computer Architecture, Programming Language Concepts, Software Requirements Engineering, Software Architecture and Design, Formal Methods, Web Development
Skills & Abilities
Technologies: Java, C, Transact-SQL, JavaScript, HTML, CSS, R, Next.js, Node, JavaScript, TypeScript, GraphQL, PostgresSQL, TypeORM
Experience
Qualifi Software Engineering Intern [6/21-9/21]
- Developed in an Agile framework creating and working on tickets for biweekly sprints
- Contributed as a full stack developer on a React app frontend and a Node.js ran backend
- Implemented various features into the production environment
- Researched and implemented new technologies into the tech stack including an automated testing framework
TechPoint S.O.S. Challenge Participant [6/20-7/20]
- Participated as a software developer on a multi-disciplinary team to create a solution for the challenges faced by the transportation industry during the COVID-19 pandemic
- Worked remotely 20 hours per week to create go-to-market strategy/product prototype
- Created an Android app utilizing Android Studio, implementing multiple Google APIs to add to app functionality


The circular dependency means that class A needs class B, and class B needs class A. Nest permits to create circular dependencies between both components and modules, but we advise you not to use it too much. Sometimes it's really difficult to avoid these types of the relationships, that's why we provided some ways to deal with this issue.
The forward reference allows Nest refer to references which are not yet defined.
When CatsService
and CommonService
depend on each other, both sides of the relationship need to use @Inject()
and the forwardRef()
utility, otherwise Nest won't create your components instances because all of the essential metadata would be not available.
Let's see the following snippet:
{{ forwardRef }}
{{ forwardRefJs }}
Notice TheforwardRef()
function is imported from the@nestjs/common
package.
Here's the first side of the relationship. Now let's do the same with the CommonService
:
{{ forwardRefCommon }}
{{ forwardRefCommonJs }}
Hint You never know which constructor will be called first.
To create circular dependencies between modules you have to use the same forwardRef()
utility on the both parts of the modules association:
{{ forwardRefModule }}
Nest provides the ModuleRef
class, which might be simply injected into each component.
{{ moduleRef }}
{{ moduleRefJs }}
Notice TheModuleRef
class is imported from the@nestjs/core
package.
The module reference has a get()
method, which allows to retrieve any component available in the current module.


LANGUAGE
ITALIAN
SPANISH
FRENCH
GERMAN
ENGLISH
STIFF UPPER LIP
FORMATION:
Brian Johnson
Angus Young
Malcolm Young
Phil Rudd
Cliff Williams
SONGS:
Stiff Upper Lip
Meltdown
House of Jazz
Hold Me Back
Safe in New York City
Can't Stand Still
Can't Stop Rock'n'Roll
Satellite Blues
Damned
Come and Get It
All Screwed Up
Give It Up


Welcome to the Monta Vista Woodshop Club!
BIG PROJECT: Pens for the Military.
Hand make and design pens to donate to the military! Before Christmas, we will collect the pens we have made individually wrap the pens, and them to the military.
Hand make and design pens to donate to the military! Before Christmas, we will collect the pens we have made individually wrap the pens, and them to the military.


We are in the process of getting this information across to you.
In the meanwhile, Have you registered for Science Hack Day 2017?


From Mayurbhanj to Malkangiri, Nabarangpur to Nayagarh and Konark to Kalahandi, people of Odisha now should have a common agenda: To check liquor menace. There are ‘war cries of Odias’ against drugs and drinks. People of Odisha are no more unconscious about corruption, nepotism, misgovernance and opportunism. It is time to taking up social causes and raising voice for a greater cause. Campaign for prohibition is not new in Odisha. Freedom fighters were active during the Independence struggle to end the liquor nuisance. After the Independence, the anti-liquor movement was confined to limited pockets. Farmers are struggling to find labourers in Odisha. The work culture of the state has worsened drastically over the past few years. Why? People have taken to excessive drinking is shaped the state government for the problem. Until 2000, there was only one or two liquor shop for a block in the vicinity. Now, there are ten. The state government has made liquor easily accessible. Liquor shops have sprouted across the state. The jump was highest in rural areas. Liquor sales surged at a much faster pace. Consumption of country liquor as well as India-made foreign liquor (IMFL) increased almost 11 times. The state government changed its excise policy after Naveen Pattanik became chief minister in 2000 as the head of an alliance between Biju Janata Dal and the Bharatiya Janata Party (BJP). It started allotting more liquor shops and began increasing licence fees in a bid to boost revenue. The growing importance of excise duty for Odisha, one of India’s least industrialised states, is in contrast to Haryana, a more industrialised state where liquor consumption is also high.
While growing liquor sales may have boosted the treasury, but the poor is facing disastrous situation. A revenue model that promotes liquor sales has a huge social cost on health and status of women in a state where much of society is still feudal-minded. There are few jobs for skilled or semi-skilled youth because no big or small-scale industry has been set up due to lack of political will, bureaucratic lethargy and corruption. This has led to growing frustration among the youth, especially in rural areas, who do not wish to till land or do manual work. Many of these people connive with village administration to siphon off money from welfare schemes and blow it up on liquor. I am waiting for the day when Odisha government led-by drunkard Naveen Patnaik would announce 2 rupees subsidized liquor for public after 5 rupees meal. Our CM is has been overflowing with innovative ideas, and who knows the above words would be true very soon. He talks about better medical facilities in state in front of public rallies but in flipside he wants more liquor shops by e-auction. Government starts Health Insurance under Biju Kalyan Yojana, but will it work, when the government promotes ‘Biju’ Liquor Company? Anyway, BJD can do anything for luring votes. Everyone acquainted with this truth.
Instead of lunching a comprehensive and inclusive policy for uplifting poverty, he is doing liquor business, it always sadden me. I hope BJD and Naveen will soon realise that winning electoral battle is of minuscule importance compared to the task of making Odisha a vibrant state where equality is the creed. Please come join hands with party of ‘Hand,’ and show the strength of people to the Naveen and Co. who are suffering from intellectual malnutrition.
Written with inputs from Sanjay Kumar Bissoyi.


PANDA is the first gigapixel-level human-centric video dataset, for large-scale, long-term, and multi-object visual analysis. The videos in PANDA were captured by a gigapixel camera and cover real-world scenes with both wide field-of-view (~1 km^2 area) and high resolution details (~gigapixel-level/frame). The scenes may contain 4k head counts with over 100× scale variation. PANDA provides enriched and hierarchical ground-truth annotations, including 10,218.4k bounding boxes, 111.8k fine-grained attribute labels, 8.4k trajectories, 1.5k groups and 2.9k interactions.
If you use our dataset, please cite the following paper:
Multiscale gigapixel video: A cross resolution image matching and warping approach
Xiaoyun Yuan, Lu Fang, Qionghai Dai, David J Brady, Yebin Liu. ICCP, 2017
• Sequence ID: OCT Bay • Image size: 26753 x 15052 • Frame rate: 30 Hz
• Sequence ID: Shanghai Train Station • Image size: 26558 x 14828 • Frame rate: 30 Hz
• Sequence ID: Nanshan I Park • Image size: 32609 x 24457 • Frame rate: 12 Hz
• Sequence ID: Primary School • Image size: 31760 x 23810 • Frame rate: 12 Hz
• Sequence ID: Basketball Court • Image size: 31753 x 23810 • Frame rate: 12 Hz
• Sequence ID: HIT Canteen • Image size: 26753 x 15052 • Frame rate: 30 Hz
• Sequence ID: Shanghai Marathon • Image size: 26908 x 15024 • Frame rate: 30 Hz
• Sequence ID: Shenzhenbei Station • Image size: 26583 x 14957 • Frame rate: 30 Hz
• Sequence ID: Shenzhen Library • Image size: 32129 x 24096 • Frame rate: 30 Hz
• Sequence ID: Xili Pedestrian Street • Image size: 26583 x 14957 • Frame rate: 30 Hz
• Sequence ID: Xili Crossroad • Image size: 26753 x 15052 • Frame rate: 30 Hz


The paper studies observational overfitting: The phenomenon where an agent overfits to different observation spaces even though the underlying MDP remains fixed.
Unlike other works, the “background information” (in the pixel space) is correlated with the progress of the agent (and is not just noise).
Base MDP $M = (S, A, R, T)$ where $S$ is the state space, $A$ is the action space, $R$ is the reward function, and $T$ is the transition dynamics.
$M$ is parameterized using $\theta$. In practice, it means introducing an observation function $\phi_{\theta}$ ie $M_{\theta} = (M, \phi_{\theta})$.
A distribution over $\theta$ defines a distribution over the MDPs.
The learning agent has access to the pixel space observations and not the state space observations.
Generalization gap is defined as $J_{\theta}(\pi) - J_{\theta^{train}}(\pi)$ where $\pi$ is the learning agent, $\theta$ is the distribution over all the observation functions, $\theta^{train}$ is the distribution over the observation functions corresponding to the training environments. $J_{\theta}(\pi)$ is the average reward that the agent obtains over environments sampled from $M_{\theta}$.
$\phi_{\theta}$ considers two featurs - generalizable (invariant across $\theta$) and non-generalizable (depends on $\theta$) ie $\phi_{\theta}(s) = concat(f(s), g_{\theta}(s))$ where $f$ is the invariant function and $g$ is the non-generalizable function.
The problem is set up such that “explicit regularization” can easily solve it. The focus is on understanding the effect of “implicit regularization”.
LQR is used as a proxy for deep RL architectures given its advantages like enabling exact gradient descent.
The functions are parameterized as follows:
$f(s) = W_c(s)$
$g_{\theta}(s) = W_{\theta}(s)$
Observation at time $t$ , $o_t$, is given as $[W_c W_{\theta}]^{-1} s_t$.
Action at time $t$ is given as $a_t = K o_{t}$ where $K$ is the policy matrix.
Dimensionality:
In case of training on just one environment, multiple solutions exist, and overfitting happens.
Increasing $d_{noise}$ increases the generalization gap.
Overparameterizing the network decreases the generalization gap and also reduces the norm of the policy.
The base MDP is the Gym Environment.
$M_{\theta}$ is generated as before.
Increasing both width and depth for basic MLPs improves generalization.
Generalization also depends on the choice of activation function, residual layers, etc.
In the Gym environment, the actual state is projected to a larger vector and reshaped into an 84x84 tensor (image).
The image from $f$ is concatenated with the image from $g$. This setup is referred to as the Gym-Deconv.
The relative order of performance between NatureCNN, IMPALA, and IMPALA-Large (on both CoinRun and Gym-Deconv) is the same as the order of the number of parameters they contain.
In an ablation, the policy is given access to only $g_{\theta}(s)$, which makes it impossible for the model to generalize. In this test of memorization capacity, implicit regularization seems to reduce the memorization effect.
The pixel space observation in CoinRun is downsized from 64x64 to 32x32 and flattened into a vector.
In CoinRun, the dynamics change per level, and the noisy “irrelevant” features change location across the 1D input, making this setup more challenging than the previous ones.
Overparameterization improves generalization in this scenario as well.


Marxism-Leninism is a form of Marxism that was forged in the 20th
century in the Soviet Union. Marxist-Leninists heavily favor the use of
a communist political party as the platform for both achieving
revolution and establishing socialism. Many Marxist-Leninists are
somewhat more nationalistic and patriotic than many other Marxists, and
may favor industrial progress over environmental goals.
You can send these results by copying and pasting the URL at the top
of the page or using the image below.
Next closest matches
With your closest match as 100% and farthest as 0%, here is how closely
you matched the other ideologies.
Orthodox Marxism: NaN%
Orthodox Marxism is a form of Marxism that adopts views that conform to
Marxist theory as it was originally written, particularily on the topic
of dialectical materialism. Orthodox Marxists are highly revolutionary
and internationalist and hold that nonindustrial societies are incapable
of achieving socialism.
Eco-Marxism: NaN%
Eco-Marxism is a form of Orthodox Marxism more commonly found in the
modern day that places a particular emphasis on environmental issues.
Eco-Marxists generally favor central economic planning as a way of
combating climate issues.
Centrist Marxism: NaN%
Centrist Marxism is a form of Marxism that adopts Marxist views on
society and the economy while also refraining from taking a definitive
position on revolution and reformism. Many Centrist Marxists may also be
more nationalistic than other Marxists.
Council Communism: NaN%
Council Communism is a form of Left Communism that emerged in Germany
and Holland in the early-20th century. Council Communists reject
participation in liberal democracy, support spontaneous revolutions, and
believe in disempowering political parties in favor of the workers'
councils.
Left Communism: NaN%
Left Communism is a form of Marxism that leans towards so called
ultra-left positions. These include unconditional support for revolution
and internationalism, a rejection of unions and participation in liberal
democracy, and a rejection of national liberation and
self-determination.
Anarcho-Communism: NaN%
Anarcho-Communism is a form of anarchism that advocates for the
abolition of capitalism and the state, as well as the collective
ownership of the means of production. Anarcho-Communists support a
decentralized economy and government, with Anarcho-Syndicalism being a
common way of organizing such a society.
Eco-Anarchism: NaN%
Eco-Anarchism, or Green Anarchism, is a form of anarchism that places a
particular emphasis on environmental issues. It is often linked to more
distinct ideologies such as Anarcho-Syndicalism. Eco-Anarchists are
generally revolutionary and support using a decentralized egalitarian
economy to achieve environmental goals.
Market Anarchism: NaN%
Market Anarchism is a form of anarchism that mixes anarchist goals such
as the abolition of hierarchy, the state and capitalism with heightened
individualism and a moderate reformist approach. This should not be
confused with Anarcho-Capitalism.
Utopian Socialism: NaN%
Utopian Socialism is a form of pre-Marxist socialism that believes
highly in an egalitarian, moralistic and idealistic foundation for a
socialist society. Utopian Socialists generally reject violent
revolution and often believe the ruling class can be convinced to adopt
socialism.
Democratic Socialism: NaN%
Democratic Socialism is a form of socialism that seeks to utilize
liberal democracy as a means to achieve a socialist economy and society.
Democratic Socialists reject revolution and a centrally planned economy,
instead supporting moderate social ownership in the form of publicly
owned utilities and democratic workplace self-management.
Social Democracy: NaN%
Social Democracy is a centre-left ideology that advocates for mixing
left-leaning values such as social welfare and corporate regulation with
capitalism and liberal democracy in the form of a mixed economy. Many
modern Social Democrats favor Keynesian economics.
Left-Wing Nationalism: NaN%
Left-Wing Nationalism is an ideology that mixes left-wing economics with
non-xenophobic nationalism and patriotism. Many Left-Wing Nationalists
are simultaneously supportive of international solidarity, and may be
supportive of armed struggle.
I don't like my scores!
Please remember that you are not intended to get a 100% score in any of
the categories. The point of the quiz is to challenge your views. If you
have any suggestions or constructive criticism please fill out this
short form or open an
issue on the
GitHub Page.


{% extends 'base.html' %} {% block title %} Reset Password {% endblock %} {% block content %} {% from "_formhelpers.html" import render_field %}
Sorry, you can't do that yet.


WITNESS LIST Environmental Regulation Committee April 29, 2002-10:00A Interim Studies For: Ford, Michael (Self and Texas Radiation Advisory Board) Against: Bryan, Doris C. (Radiation Technology Inc. -- (Against Orphan Sources)) On: Bays, Richard (Texas Department of Health) Bernstein, Robert (Self) D'Arrigo, Diane (Nuclear Information & Resource Service) Emery, Robert (Self) Forehand, John (Texas Natural Resource Conservation Commission) Henderson, E. Buck (Texas Natural Resource Conservation Commission) Heyer, Ralph S. (Thermo Measuretech) Kay, Douglas (TXU - Comanche Peak Steam Electric Station, Mr. Jim Kelley - Vice President) Mambula, Debra (Texas Natural Resource Conservation Commission) Mayorga, Jose S. (Railroad Commission) McCabe, Shawn (Waste Control Specialists, LLC) McKinney, Paula (Texas Deparment of Health) Milwee, Tom (Texas Dep. of Public Safety) Ratliff, Richard A. (Texas Dept. of Health, Bureau of Radiation Control) Rogers, Erin (Lone Star Sierra Club) Smith, Tom "Smitty" (Public Citizen's Texas Members) Snow, Dan W. (Self) Tate, Arthur C. (Texas Department of Health, Bureau of Radiation Control) Wheatley, Wade (Texas Natural Resource Conservation Commission)


mark.js
:sparkles: formerly known as jquery.mark or jmHighlight :sparkles:
Highlight keywords using JavaScript. Intended for every use case.
Can e.g. be used to mark text in search results.
Documentation and Further Information
Please view the website for documentation and further information!
Contributing
See the contribution guidelines.
Changelog
Changes are documented in release descriptions.
You want to be notified about new releases? Click the “Subscribe to releases”
button on libraries.io.
Happy hacking!


BEFORE this session, for each of the following videos or reading:
Re-watch this short YouTube video on pair programming [2:51 minutes]. Note that it opens in a new window.
[Optiona] If you want to learn more about pair programming , return to the links to resources about pair programming in Session 4.
Exam 3 takes place in the evening on Wednesday, October 30.
Continue preparing for Exam 3 by completing and UNDERSTANDING the TWO items that are your INFORMAL ADMISSION TICKET for taking Exam 3 as described at the Exam 3 information.


About Us
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We are a new design studio based in USA. We have over 20 years of combined experience, and know a thing or two about designing websites and mobile apps.
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Paul George, Kawhi Leonard hit floor together for first time; Clippers win in OT
LOS ANGELES – With Kawhi Leonard, Paul George and Lou Williams on the court, the Boston Celtics had to pick someone to leave unguarded.
They chose Patrick Beverley and he made them pay.
Beverley shone on both ends, playing his usual ornery defense while scoring 14 points and grabbing a career-high 16 rebounds to help the Los Angeles Clippers win 107-104 in overtime with Leonard and George playing together for the first time Wednesday night.
“If I was a coach, I’d leave me open all the time,” Beverley said.
Williams scored 27 points, George added 25 and Leonard had 17 for the Clippers, who improved to 9-1 at home after rallying from a 10-point deficit in the fourth quarter.
It was a wild and sloppy game for both teams. The Clippers committed 23 turnovers (Williams had seven while Leonard and George had five each) to 17 for the Celtics.
“That was an ugly win, but it was beautiful,” Clippers coach Doc Rivers said.
Leonard blocked Kemba Walker’s potential tying 3-point attempt in the left corner after injury and rehab had prevented he and George from playing in the same game over the first 14 of the season.
“He got enough separation to get it off against most of the league,” Celtics coach Brad Stevens said. “The problem is, that guy’s not normal. He’s not most of the league, and he made a great play to block it.”
In overtime, George hit a 3-pointer after he missed his first attempt and Beverley got the offensive rebound, then George fed Beverley for a 3 of his own. George’s free throw on a technical foul against Stevens completed a run of seven straight points, and the Clippers led 104-99.
“He literally singlehandedly willed that game with his effort, rebounding, making plays,” Rivers said of Beverley, who got the game ball. “He’s a tough kid.”
The Celtics pulled to 104-102 on Jayson Tatum’s basket after a wild sequence in which bodies crashed to the floor as both teams chased a loose ball before Boston got possession.
“Defensive mistakes, costly turnovers,” Tatum said. “If we would have won it still would have been a learning experience.”
Beverley hit a 3-pointer from the corner in front of the Clippers’ bench for 107-102 lead, revving up Los Angeles fans and quieting the large contingent of Celtics fans in the stands.
“It was a playoff atmosphere,” said Marcus Smart, who had 14 points for Boston.
Wizards 138, Spurs 132
In Washington, Rui Hachimura scored 15 points and grabbed seven boards to help the Wizards hand San Antonio its seventh straight loss.
Bradley Beal shot 9-for-9 in a 21-point third quarter and finished with 33.
Davis Bertans, acquired by Washington from San Antonio in the offseason, scored 21 points, and so did Ish Smith.
Mavericks 142, Warriors 94
In Dallas, Luka Doncic scored 33 of his 35 points in the first half and had yet another triple-double to help the Mavericks rout short-handed Golden State.
Doncic fell a point short of matching Dirk Nowitzki’s team record set Nov. 3, 2009, against Utah. In just 17 minutes, Doncic was 10-for-11 from the floor, making 6 of 7 3-pointers, and hit 7 of 8 free throws.
The second-year star from Slovenia had 22 points, five assists and five rebounds in the first quarter alone. He played only 25 minutes total, but still managed 10 rebounds and 11 assists.
He was coming off a 40-point triple-double Monday night against San Antonio, and has an NBA-best seven triple-doubles in 14 games this season.
Nuggets 105, Rockets 95
In Denver, Nikola Jokic had 27 points and 12 rebounds, Denver played smothering defense on James Harden and the Nuggets snapped Houston’s eight-game winning streak.
Harden had 27 points, ending his string of eight consecutive games of 36 or more. He was 8 of 16 from the floor as the Rockets were held under 100 points for the first time this season. Denver is 7-0 this season when keeping an opponent below 100.
76ers 109, Knicks 104
In Philadelphia, Ben Simmons hit the first 3-pointer of his career and had 18 points and 13 assists to lead the hosts past New York.
Mike Scott’s fourth 3-pointer with 1:29 left stretched the Sixers’ lead to 99-95 and they held on after the Knicks’ Marcus Morris hit a pair of 3s in the final 10 seconds. Joel Embiid had 23 points and 13 rebounds, and Scott scored 12 points.
Raptors 113, Magic 97
In Toronto, Fred VanVleet scored 24 points, Pascal Siakam had 18 points and 11 rebounds and the Raptors snapped Orlando’s winning streak at three.
The Magic lost center Nikola Vucevic and forward Aaron Gordon to right ankle injuries in the second quarter.
Toronto rookie Terence Davis scored a career-high 19 points, Norman Powell had 15 points, and Chris Boucher added 14 points and 11 rebounds. The defending champion Raptors improved to 6-0 at home.
Heat 124, Cavaliers 100
In Miami, Duncan Robinson set Heat records for 3-pointers in a quarter and a half on his way to 29 points and Miami beat Cleveland to remain unbeaten at home.
Playing in front of his college coach — the Cavs’ John Beilein, who had Robinson at Michigan — the second-year guard was 9-for-15 from the field, with all those shots coming from behind the arc. Robinson set team marks with seven 3-pointers in the second quarter and eight in the first half.
In Other Games
Bucks 135, Hawks 127
Jazz 103, Timberwolves 95
Nets 101, Hornets 91
Bulls 109, Pistons 89
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