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| %if_next_is% | Lookarounds |
| %if_next_isnt% | Lookarounds |
| %if_prev_is% | Lookarounds |
| %if_prev_isnt% | Lookarounds |
| %or% | Or |
| . | Create a capture group |
| : | Create character classes |
| any_of | Create character classes |
| as.character.regex | Regular Expression |
| as.regex | Coerce objects to a 'regex'. |
| as.regex.default | Coerce objects to a 'regex'. |
| at_least | Counts |
| at_most | Counts |
| between | Counts |
| capture | Create a capture group |
| capture_group | Create a capture group |
| character_class | Create character classes |
| character_class_escape | Character class escapes |
| character_class_escape.character | Character class escapes |
| character_class_escape.character_class | Character class escapes |
| character_class_escape.default | Character class escapes |
| character_class_escape.list | Character class escapes |
| character_class_escape.regex | Character class escapes |
| counts | Counts |
| escape | Escape characters for a regex |
| escape.character | Escape characters for a regex |
| escape.character_class | Escape characters for a regex |
| escape.default | Escape characters for a regex |
| escape.list | Escape characters for a regex |
| escape.regex | Escape characters for a regex |
| except | Create character classes |
| except_any_of | Create character classes |
| except_some_of | Create character classes |
| exclude_range | Create character classes |
| group | Create a grouped expression |
| lookarounds | Lookarounds |
| m | Match function |
| matches | Match function |
| maybe | Wildcards |
| n | Counts |
| none_of | Create character classes |
| not | Do not match |
| n_times | Counts |
| one_of | Create character classes |
| one_or_more | Wildcards |
| or | Or |
| print.regex | Regular Expression |
| range | Create character classes |
| regex | Regular Expression |
| register_shortcuts | Register the Rex shortcuts |
| rex | Generate a regular expression. |
| rex_ | Generate a regular expression. |
| rex_mode | Toggles 'rex' mode. |
| re_matches | Match function |
| re_substitutes | Substitute regular expressions in a string with another string. |
| s | Substitute regular expressions in a string with another string. |
| shortcuts | Shortcuts |
| single_shortcuts | Single shortcuts |
| some_of | Create character classes |
| substitutes | Substitute regular expressions in a string with another string. |
| wildcards | Wildcards |
| zero_or_more | Wildcards |
| zero_or_one | Wildcards |


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The name is Akash Verma and I'm an UX/UI designeveloper, with decent practical experience and knowledge in building webpages and programs; I am very passionate about programming, Also a huge fan of database management. Decent at competitive programming too.
Want to get in touch with me? Be it to request more info about myself or my experience, random questions about the universe and the meaning of life.. just feel free to drop me a line anytime.
I promise to reply A.S.A.P.
Note: No spamming! :)


Quenda was, to use a cliché, founded on the idea of working with FOSS non-profits, not against them. We believe in giving back to the communities on which we so heavily rely as an industry.
We do pro bono work for various non-profits, including but not limited to:
The Apache Software Foundation
Quenda provides build nodes and development analytics for the Apache Software Foundation.
We also provide hardware for the Apache Kibble project, as well as access to our PicoAPI service.


Home > Reference > Functions reference > Mobile functions
Mobile functions Mobile functions are used with FileMaker Go. Click a function name for details. This function Returns Location The current latitude and longitude of an iOS device running FileMaker Go and the horizontal accuracy of the values returned. LocationValues The current latitude, longitude, and altitude of an iOS device running FileMaker Go; the horizontal and vertical accuracy of the values returned; and the number of minutes since the values were returned. Related topics About functions About formulas


Estimate the number of shift hours needed to achieve a target output.
The idea is to take information about what you have planted, where, etc., and simulate your expected costs and revenues. You can leverage existing data that you may already keep to improve the accuracy of the predictions. Given a description of X uncertain inputs, NX random samples are generated, creating a distribution of possible outcomes.


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waitFor
- Static variable in class games.
Simon
waitForInput()
- Static method in class launchpad_s_plus.
Input
Does nothing until there is a key pressed after the method is called.
waitForPlayer(int)
- Method in class games.
Checkers2
waitForSustain()
- Method in class piano.
PianoKey
Waits for the sustain to be released before returning
waitingForInput
- Variable in class games.
Checkers
waitingForInput
- Static variable in class games.
Checkers2
waitingForPlayer
- Variable in class games.
Checkers
waitInput()
- Method in class games.
Checkers2
wallColor
- Static variable in class games.
LightsOut
Wave()
- Method in class tech_demo.
Animation
Calls the wave animation
wavecol
- Variable in class tech_demo.
Animation
weak
- Static variable in class launchpad_s_plus.
Colors
weakgreen
- Static variable in class launchpad_s_plus.
Colors
weaklime
- Static variable in class launchpad_s_plus.
Colors
weakorange
- Static variable in class launchpad_s_plus.
Colors
weakred
- Static variable in class launchpad_s_plus.
Colors
weakyellow
- Static variable in class launchpad_s_plus.
Colors
whiteKeysColor
- Static variable in class piano.
Piano
whiteKeysIntensity
- Static variable in class piano.
Piano
windowActive
- Static variable in class gui.
StatisticsGUI
windowH
- Static variable in class gui.
AnimationGUI
windowH
- Static variable in class gui.
CheckersGUI
windowH
- Static variable in class gui.
Error
windowH
- Static variable in class gui.
GameOfLifeGUI
windowH
- Static variable in class gui.
LightsOutGUI
windowH
- Static variable in class gui.
PianoGUI
windowH
- Static variable in class gui.
ReactionGameGUI
windowH
- Static variable in class gui.
ReactiveDemoGUI
windowH
- Static variable in class gui.
SimonGUI
windowH
- Static variable in class gui.
SnakeGUI
windowH
- Static variable in class gui.
StatisticsGUI
windowH
- Static variable in class gui.
TextScrollGUI
windowW
- Static variable in class gui.
AnimationGUI
windowW
- Static variable in class gui.
CheckersGUI
windowW
- Static variable in class gui.
Error
windowW
- Static variable in class gui.
GameOfLifeGUI
windowW
- Static variable in class gui.
LightsOutGUI
windowW
- Static variable in class gui.
PianoGUI
windowW
- Static variable in class gui.
ReactionGameGUI
windowW
- Static variable in class gui.
ReactiveDemoGUI
windowW
- Static variable in class gui.
SimonGUI
windowW
- Static variable in class gui.
SnakeGUI
windowW
- Static variable in class gui.
StatisticsGUI
windowW
- Static variable in class gui.
TextScrollGUI
windowX
- Static variable in class gui.
AnimationGUI
windowX
- Static variable in class gui.
CheckersGUI
windowX
- Static variable in class gui.
Error
windowX
- Static variable in class gui.
GameOfLifeGUI
windowX
- Static variable in class gui.
LightsOutGUI
windowX
- Static variable in class gui.
PianoGUI
windowX
- Static variable in class gui.
ReactionGameGUI
windowX
- Static variable in class gui.
ReactiveDemoGUI
windowX
- Static variable in class gui.
SimonGUI
windowX
- Static variable in class gui.
SnakeGUI
windowX
- Static variable in class gui.
StatisticsGUI
windowX
- Static variable in class gui.
TextScrollGUI
windowY
- Static variable in class gui.
AnimationGUI
windowY
- Static variable in class gui.
CheckersGUI
windowY
- Static variable in class gui.
Error
windowY
- Static variable in class gui.
GameOfLifeGUI
windowY
- Static variable in class gui.
LightsOutGUI
windowY
- Static variable in class gui.
PianoGUI
windowY
- Static variable in class gui.
ReactionGameGUI
windowY
- Static variable in class gui.
ReactiveDemoGUI
windowY
- Static variable in class gui.
SimonGUI
windowY
- Static variable in class gui.
SnakeGUI
windowY
- Static variable in class gui.
StatisticsGUI
windowY
- Static variable in class gui.
TextScrollGUI
winningPlayer
- Static variable in class games.
Checkers2
wrongBlock()
- Method in class games.
ReactionGame
Changes the color of the block to show that the player did not press in it
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Affect: {{item.affect}}
Appettite: {{item.appetite}}
Appearance: {{item.appearance}}
Speech: {{item.speech}}


Thai Supreme Court affirms death sentence for Spaniard
by Associated PressBANGKOK (AP) — Thailand's Supreme Court on Wednesday upheld the death sentence given a Spanish man convicted of murdering a compatriot and dismembering his body in 2016.
Artur Segarra Princep had been convicted of killing David Bernat to steal his money. He had pleaded innocent.
Police believe Segarra held Bernat against his will and tortured him to force him to transfer money to his bank account, then killed him and chopped up his body to try to conceal the crime. He was also convicted of concealing a corpse and several other offenses.
The victim's body parts were found in Bangkok's Chao Phraya River and traces of the victim’s bloodstains and DNA were found in Segarra’s Bangkok apartment.
During the investigation, police said they found a freezer in Segarra’s home that was believed to have been used to store the body, as well as a book with instructions on how to dismember bodies. Medical examiners said they believed Bernat died from suffocation.
Segarra escaped to Cambodia but was sent back to Thailand to face trial and was convicted in 2017, receiving a death sentence that was upheld by an appeals court in 2018.
Executions are rarely carried out in Thailand and Segarra can apply for a royal pardon or to serve part of his sentence in Spain.


I’m a Los Angeles native who has been tattooing for 8 years. I began my career at Broken Art Tattoo under my mentor Jeremy Swan. Since then I’ve been officially licensed by Lucas Film, appeared on television, had my art used in advertisements, and traveled the world making custom tattoos. My work emphasizes on natural elements with a twist of fantasy and the macabre to them. I like combining crisp bold line work with intricate details and strong shading. I work in many styles of tattooing ranging from black and grey, neo-traditional, traditional, blackwork, portrait work, pointillism, geometric, abstract and more. I created Charnel House Tattoo as a means to further push my artistic limits and create a exclusively comfortable environment for my clientele. This is a sacred space for an ancient and honored tradition. -Dillon Eaves


Setting Container Token Values
How to set the values of container tokens using the Skin Designer module.
- Navigate to Admin > Advanced Settings > Skins.
- Go to the Skin Designer module.
- At Skin, select a skin package. This lists all skins within this package at the File field below.
- At Container, select a container package.
- At File, select the name of the required container.
- At Token, select a skin token. If a yellow warning message reading "Object Selected Does Not Have Settings Defined" is displayed there are no values associated with that token. In this case, reselect a new token."
- At Setting, select a setting from the options. This displays a description of this setting below.
- In the Value text box, enter the value for the setting.
-


And Amnon said unto her, Arise, be gone.


{% extends "Djapp/base_generic.html" %} {% block content %}
Authors first name: {{author.first_name}}
Date of birth: {{author.date_of_birth}}
Date of death: {{author.date_of_death}}


Tap the "+" button to add photos to the queue, then tap "Upload" to start sending them to Flickr.
You can also tap photos in the queue to edit their details before uploading.


Danny Kanell Posts His New Top 8 After Week 12
by Andrew HolleranCollege football analyst Danny Kanell has updated his personal rankings following Week 12 of the 2019 regular season. As always, they’re a bit controversial.
Kanell continues to not have LSU ranked No. 1, despite the Tigers’ undefeated record and big win at Alabama. Ohio State isn’t No. 1, either, despite the Buckeyes’ dominance.
Clemson is No. 1. Kanell says he’ll continue to have Clemson at No. 1 as long as they’re undefeated because they’re the reigning national champions.
That’s a bit ridiculous, but hey, it’s his poll.
Here’s the full top eight:
The official new top 25 polls will come out at 12 p.m. E.T. (Coaches’ Poll) and 2 p.m. E.T. (AP Poll).
The new College Football Playoff rankings are out on Tuesday night.


Entrada M2TS Input Your .torrent link of .TS or AAC Segment Stream Remux output into a single output? Otherwise, output only: Video Audio Recreate the Transmuxer & MediaSource for each file open? Codecs:


---
layout: post
title: Before the battle
date: '2013-09-25T17:31:38+02:00'
categories:
- Storyboards
- Illustration
- Aljubarrota
picture_url: https://film-Storyboards.tumblr.com/post/62277595113/second-position-at-aljubarrota-just-before-battle
---
Second position at Aljubarrota just before battle, extracted from audio guides animated Illustration series. Project design: Maverick ICS Client: Battle of Aljubarrota Interpretation Centre (CIBA), Portugal.


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java.lang.Object com.shotgunsoftware.FindRequest
public class FindRequest
The specification for a Find request.
| Constructor Summary | |
|---|---|
FindRequest(java.lang.String entityType)
Sole Constructor |
| Method Summary | |
|---|---|
void |
setCondition(Condition c)
Request entities matching the specified single condition. |
void |
setConditions(ConditionGroup cg)
Request entities matching the specified conditions. |
void |
setFields(java.lang.String[] fields)
Request extra fields in the result. |
void |
setSort(Sort sort)
Request the result be sorted by a single field / direction. |
void |
setSorts(Sort[] sorts)
Request the result be sorted by several fields. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public FindRequest(java.lang.String entityType)
entityType
- the type of entity to find| Method Detail |
|---|
public void setFields(java.lang.String[] fields)
fields
- an array of field names whose values should be included in the resultpublic void setCondition(Condition c)
c
- a single conditionpublic void setConditions(ConditionGroup cg)
cg
- the root condition grouppublic void setSort(Sort sort)
sort
- a sort descriptorpublic void setSorts(Sort[] sorts)
sorts
- an array of sort descriptors
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
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There are many different positions to play:
Setter
Libero
Rightside
Outside
Middle
Visit this website for more information!
click me!
Watch this video!


Technical analysis¶
In this tutorial, you will learn:
The basics of technical analysis
Technical analysis charts
What are the common technical indicators
How to implement technical indicators
Intro to technical analysis¶
In general, technicians consider the following types of indicators:
Price trends
Chart analysis
Volume indicators
Momentum indicators
Oscillators
Moving averages
Requirements:
Chart analysis¶
Definition
Line chart¶
plt.style.use('ggplot')
# Initialise the plot figure
fig = plt.figure()
fig.set_size_inches(18.5, 10.5)
ax1 = plt.subplot2grid((6,1), (0,0), rowspan=5, colspan=1)
ax2 = plt.subplot2grid((6,1), (5,0), rowspan=1, colspan=1, sharex=ax1)
df['50ma'] = df['Close'].rolling(window=50, min_periods=0).mean()
df.dropna(inplace=True)
ax1.plot(df.index, df['Close'])
ax1.plot(df.index, df['50ma'])
ax2.bar(df.index, df['Volume'])
plt.show()
Candlesticks chart¶
mpl_finance
to plot candlestick charts:fig = plt.figure()
fig.set_size_inches(18.5, 10.5)
ax1 = plt.subplot2grid((6,1), (0,0), rowspan=5, colspan=1)
ax2 = plt.subplot2grid((6,1), (5,0), rowspan=1, colspan=1, sharex=ax1)
# plot candlesticks
mpl_finance.candlestick_ohlc(ax1, data, width=0.7, colorup='g', colordown='r')
ax.grid() # show grids
############# x-axis locater settings #################
locator = mdates.AutoDateLocator() # interval automically set
ax1.xaxis.set_major_locator(locator) # as as interval in a-axis
ax1.xaxis.set_minor_locator(mdates.DayLocator())
############# x-axis locater settings #################
ax1.xaxis.set_major_formatter(mdates.AutoDateFormatter(locator)) # set x-axis label as date format
fig.autofmt_xdate() # rotate date labels on x-axis
pos = df['Open'] - df['Close'] < 0
neg = df['Open'] - df['Close'] > 0
ax2.bar(df.index[pos],df['Volume'][pos],color='green',width=1,align='center')
ax2.bar(df.index[neg],df['Volume'][neg],color='red',width=1,align='center')
plt.show()
Scaling¶
Arithmetic scaling¶
Key points
On a linear scale, as the distance in the axis increases the corresponding value also increases linearly.
When the values of data fluctuate between extremely small values and very large values – the linear scale will miss out the smaller values thus conveying a wrong picture of the underlying phenomenon.
Semi-logarithmic scaling¶
Key points
On a logarithmic scale, as the distance in the axis increases the corresponding value increases exponentially.
With logarithmic scale, both smaller valued data and bigger valued data can be captured in the plot more accurately to provide a holistic view.
Therefore, semi-logarithmic charts can be of immense help especially when plotting long-term charts, or when the price points show significant volatility even in short-term charts. The underlying chart patterns will be revealed more clearly in semi-logarithmic scale charts.
plt.style.use('ggplot')
fig, (ax1, ax2) = plt.subplots(1, 2)
fig.set_size_inches(18.5, 7.0)
### Subplot 1 - Semi-logarithmic ###
plt.subplot(121)
plt.grid(True, which="both")
# Linear X axis, Logarithmic Y axis
plt.semilogy(df.index, df['Close'], 'r')
plt.ylim([10,500])
plt.xlabel("Date")
plt.title('Semi-logarithmic scale')
fig.autofmt_xdate()
### Subplot 2 - Arithmetic ###
plt.subplot(122)
plt.plot(df.index, df['Close'], 'b')
plt.xlabel("Date")
plt.title('Arithmetic scale')
fig.autofmt_xdate()
# show plot
plt.show()
Technical indicators¶
code/technical-analysis_python/
in
the repository.In general, there are 2 categories of indicators:
Leading - They give trade signals when the trend is about to started, hence they use shorter periods in their calculations. Examples are MACD and RSI.
Lagging - They follow the price action, and thus gives a signal after a trend or a reversal started. Examples are Moving Averages and Bollinger Bands.
Definition
# in terminal
cd code/technical-analysis_python
python main_macd_crossover.py # run macd in the backtester
Trend indicators¶
Definition
Moving Average Convergence Divergence (MACD)¶
One of the simplest strategy established with MACD, is to identify MACD crossovers. The rules are as follows.
Tip
Buy signal: MACD rises above the signal line
Sell signal: MACD falls below the signal line
It is easy to calculate the EMA with pandas:
# Get adjusted close column
close = self.df['Close']
exp1 = close.ewm(span=12, adjust=False).mean()
exp2 = close.ewm(span=26, adjust=False).mean()
df['MACD'] = exp1 - exp2
span
specifies the time span, and adjust=False
means the
exponentially weighted function is calculated recursively (as we do not need
a decaying adjustment factor for beginning periods).To plot the signal line:
df['Signal line'] = self.df['MACD'].ewm(span=9, adjust=False).mean()
Moving Averages (MA)¶
We could estalish a simple trading strategy making use of two moving averages:
Tip
Buy signal: shorter-term MA crosses above the longer-term MA (golden cross)
Sell signal: shorter-term MA crosses below the longer-term MA (dead/death cross)
Here is an example of how to plotting the two MAs:
# Create short simple moving average over the short window
signals['short_mavg'] = self.df['Close'].rolling(window=short_window, min_periods=1, center=False).mean()
# Create long simple moving average over the long window
signals['long_mavg'] = self.df['Close'].rolling(window=long_window, min_periods=1, center=False).mean()
short_window
and long_window
on our own, for example as setting
short_window = 40
and long_window = 40
.And then we could generate signals based on the two line plots:
# Generate signals
signals['signal'][short_window:] = np.where(signals['short_mavg'][short_window:]
> signals['long_mavg'][self.short_window:], 1.0, 0.0)
signals['positions'] = signals['signal'].diff()
Parabolic Stop and Reverse (Parabolic SAR)¶
(i) Rising SAR (Uptrend)
Prior SAR: The SAR value for previous period.
Extreme Point (EP): The highest high of the current uptrend.
Acceleration Factor (AF): Starting at 0.02, increases by 0.02 each time the extreme point makes a new high. AF can only reach a maximum of 0.2, no matter how long the uptrend extends.
(ii) Falling SAR (Downtrend)
Prior SAR: The SAR value for previous period.
Extreme Point (EP): The lowest low of the current downtrend.
Acceleration Factor (AF): Starting at 0.02, increases by 0.02 each time the extreme point makes a new low. AF can only reach a maximum of 0.2, no matter how long the downtrend extends.
We generate signals based on the rising and falling SARs.
Tip
Buy signal: if falling SAR goes below the price
Sell signal: if rising SAR goes above the price
array_high = list(df['High'])
array_low = list(df['Low'])
array_close = list(df['Close'])
psar = df['Close'].copy()
psarbull = [None] * len(df)
psarbear = [None] * len(df)
bull = True # flag to indicate saving value for rising SAR
af = initial_af # initialise acceleration factor
max_af = 0.2
ep = array_low[0] # extreme price
hp = array_high[0] # extreme high
lp = array_low[0] # extreme low
Then, traversing each row in the dataframe, we could calculate rising SAR and falling SAR at the same time:
for i in range(2, len(self.df)):
if bull:
# Rising SAR
psar[i] = psar[i-1] + af * (hp - psar[i-1])
else:
# Falling SAR
psar[i] = psar[i-1] + af * (lp - psar[i-1])
reverse = False
# Check reversion point
if bull:
if array_low[i] < psar[i]:
bull = False
reverse = True
psar[i] = hp
lp = array_low[i]
af = initial_af
else:
if array_high[i] > psar[i]:
bull = True
reverse = True
psar[i] = lp
hp = array_high[i]
af = initial_af
if not reverse:
if bull:
# Extreme high makes a new high
if array_high[i] > hp:
hp = array_high[i]
af = min(af + initial_af, max_af)
# Check if SAR goes abov prior two periods' lows.
# If so, use the lowest of the two for SAR.
if array_low[i-1] < psar[i]:
psar[i] = array_low[i-1]
if array_low[i-2] < psar[i]:
psar[i] = array_low[i-2]
else:
# Extreme low makes a new low
if array_low[i] < lp:
lp = array_low[i]
af = min(af + initial_af, max_af)
# Check if SAR goes below prior two periods' highs.
# If so, use the highest of the two for SAR.
if array_high[i-1] > psar[i]:
psar[i] = array_high[i-1]
if array_high[i-2] > psar[i]:
psar[i] = array_high[i-2]
# Save rising SAR
if bull:
psarbull[i] = psar[i]
# Save falling SAR
else:
psarbear[i] = psar[i]
Momentum indicators¶
Commodity Channel Index (CCI)¶
The formula for calculating CCI is given as follow.
Typical Price (TP) = (High + Low + Close) / 3
Constant = 0.015
x = Window size (default set as 20)
SMA: Simple Moving Average
signals['Typical price'] = (df['High'] + df['Low'] + df['Close']) / 3
signals['SMA'] = signals['Typical price'].rolling(
window=self.window_size, min_periods=1, center=False).mean()
signals['mean_deviation'] = signals['Typical price'].rolling(
window=20, min_periods=1, center=False).std()
signals['CCI'] = (signals['Typical price'] - signals['SMA']) /
(self.constant * signals['mean_deviation'])
A simple strategy formulated by using CCI is (the thresholds only serve as examples:
Tip
Buy signal: when CCI surges above +100
Sell signal: when CCI plunges below -100
# Generate buy signal
signals.loc[signals['CCI'] > 100, 'signal'] = 1.0
# Generate sell signal
signals.loc[signals['CCI'] < -100, 'signal'] = -1.0
Relative Strength Index (RSI)¶
where Average Gain and Average Loss are calculated as follows:
In the dataset, we need to extract gains and losses from the price column respectively:
# Get adjusted close column
close = df['Close']
# Get the difference in price from previous step
delta = close.diff()
# Get rid of the first row
delta = delta[1:]
# Make the positive gains (up) and negative gains (down) series
up, down = delta.copy(), delta.copy()
up[up < 0] = 0
down[down > 0] = 0
To calculate RS, as well as RSI:
# Calculate SMA using 'rolling' function
roll_up = up.rolling(window_size).mean()
roll_down = down.abs().rolling(window_size).mean()
# Calculate RSI based on SMA
RS = roll_up / roll_down
RSI = 100.0 - (100.0 / (1.0 + RS))
Tip
Oversold: when RSI crosses the lower threshold (e.g. 30)
Overbought: when RSI crosses the upper threshold (e.g. 70)
Rate of Change (ROC)¶
As you could see from above, it’s just the simple percentage change formula.
We could identify overbought and oversold conditions using ROC:
Tip
Oversold: when ROC crosses the lower threshold (e.g. -30)
Overbought: when ROC crosses the upper threshold (e.g. +30)
And here is one of the possible ways to calculate ROC:
n = 12 # set time period
diff = df['Close'].diff(n - 1)
# Calculate closing price n periods ago
closing = self.df['Close'].shift(n - 1)
df['ROC'] = (diff / closing) * 100
Stochastic Oscillator (STC)¶
Lowest Low = lowest low for the look-back period
Highest High = highest high for the look-back period
Note that in the formula %K is multiplied by 100 so as to move the decimal point by two places.
array_highest = [0] * length # store highest highs
for i in range(k - 1, length):
highest = array_high[i]
for j in range(i - 13, i + 1): # k-day lookback period
if array_high[j] > highest:
highest = array_high[j]
array_highest[i] = highest
array_lowest = [0] * length # store lowest lows
for i in range(k - 1, length):
lowest = array_low[i]
for j in range(i - 13, i + 1): # k-day lookback period
if array_low[j] < lowest:
lowest = array_low[j]
array_lowest[i] = lowest
# find %K line values
kvalues = [0] * length
for i in range(self.k - 1, length):
k = ((array_close[i] - array_lowest[i]) * 100) / (array_highest[i] - array_lowest[i])
kvalues[i] = k
df['%K'] = kvalues
# find %D line values
df['%D'] = df['%K'].rolling(window=3, min_periods=1, center=False).mean()
Tip
Buy signal: when %K line crosses above the %D line
Sell signal: when %K line crosses below the %D line
True Strength Index (TSI)¶
(i) Double Smoothed Price Change (PC)
PC = Current Price - Prior Price
First Smoothing = 25-period EMA of PC
Second Smoothing = 13-period EMA of 25-period EMA of PC
(ii) Double Smoothed Absolute Price Change (PC)
Absolute Price Change | PC | = Absolute Value of Current Price minus Prior Price
First Smoothing = 25-period EMA of | PC |
Second Smoothing = 13-period EMA of 25-period EMA of | PC |
Based on the above formulae, the code is shown as follow:
df['Double Smoothed PC'] = pc.ewm(span=25, adjust=False).mean().ewm(
span=13, adjust=False).mean()
df['Double Smoothed Abs PC'] = abs(pc).ewm(span=25, adjust=False).mean().ewm(
span=13, adjust=False).mean()
df['TSI'] = df['Double Smoothed PC'] / df['Double Smoothed Abs PC'] * 100
In order to interpret the TSI, we could define a signal line:
And we could observe signal line crossovers:
Tip
Buy signal: when TSI crosses above the signal line from below
Sell signal: when TSI crosses below the signal line from above
Money Flow Index (MFI)¶
It is pretty straightforward to calculate typical price:
# Typical price
tp = (df['High'] + df['Low'] + df['Close']) / 3.0
# positive = 1, negative = -1
self.df['Sign'] = np.where(tp > tp.shift(1), 1, np.where(tp < tp.shift(1), -1, 0))
# Raw money flow
df['Money flow'] = tp * df['Volume'] * df['Sign']
# Positive money flow with n periods
n_positive_mf = df['Money flow'].rolling(n).apply
(lambda x: np.sum(np.where(x >= 0.0, x, 0.0)), raw=True)
# Negative money flow with n periods
n_negative_mf = abs(df['Money flow'].rolling(self.n).apply
(lambda x: np.sum(np.where(x < 0.0, x, 0.0)), raw=True))
With the money flows, it would be easy to compute the MFI:
mf_ratio = n_positive_mf / n_negative_mf
df['MFI'] = (100 - (100 / (1 + mf_ratio)))
By way of example, we could use MFI to identify overbought and oversold conditions:
Tip
Oversold: when MFI crosses the upper threshold
Overbought: when MFI crosses the lower threshold
William %R¶
Lowest Low = lowest low for the look-back period
Highest High = highest high for the look-back period
The code for implementing %R is shown as follows:
lbp = 14 # set lookback period
hh = df['High'].rolling(lbp).max() # highest high over lookback period
ll = df['Low'].rolling(lbp).min() # lowest low over lookback period
df['%R'] = -100 * (hh - df['Close']) / (hh - ll)
Similarly, we could use %R to identify overbought and oversold conditions:
Tip
Oversold: when %R goes below -80
Overbought: when %R goes above -20
Volatility indicators¶
Bollinger Bands¶
window = 20
# Compute middle band
df['Middle band'] = self.df['Close'].rolling(window).mean()
# Compute 20-day s.d.
mstd = df['Close'].rolling(window).std(ddof=0)
# Computer upper and lower bands
df['Upper band'] = df['Middle band'] + mstd * 2
df['Lower band'] = df['Middle band'] - mstd * 2
Tip
Buy signal: when price goes below lower band
Sell signal: when price goes above upper band
Average True Range¶
1st True Range (TR) value = High - Low
1st n-day ATR = average of the daily TR values for the last n days
array_high = list(df['High'])
array_low = list(df['Low'])
tr = [None] * len(df) # initialisation
for i in range(len(df)):
tr[i] = array_high[i] - array_low[i]
atr = [None] * len(self.df) # initialisation
window = 14
atr[15] = sum(tr[0:15]) / window
for i in range(16,len(self.df)):
atr[i] = (atr[i-1] * (window-1) + tr[i]) / window
Tip
We could use ATR to filter out stocks that are highly volatile.
Standard Deviation¶
As an example, we could set window=21
:
window = 21
df['SD'] = df['Close'].rolling(window).std(ddof=0)
Tip
We could use Standard Deviation to measure the expected risk of stocks.
Volume indicators¶
Chaikin Oscillator¶
df['MFM'] = ((df['Close'] - df['Low']) - df['High'] - df['Close'])
/ (df['High'] - df['Low'])
df['MFV'] = df['MFM'] * df['Volume']
df['ADL'] = df['Close'].shift(1) + df['MFV']
short_w = 3
long_w = 10
ema_long = df['ADL'].ewm(ignore_na=False, min_periods=0, com=short_w, adjust=True).mean()
ema_short = df['ADL'].ewm(ignore_na=False, min_periods=0, com=long_w, adjust=True).mean()
df['Chaikin'] = ema_short - ema_long
Tip
Buy signal: when the oscillator is positive
Sell signal: when the oscillator is negative
On-Balance Volume (OBV)¶
The formula for OBC changes according to the following 3 cases:
1) If closing price > prior close price:
2) If closing price < prior close price:
3) If closing price = prior close price then:
We could traverse the dataframe, and use if-else statements to capture the 3 conditions:
obv = [0] * len(self.df) # for storing the on-balance volume
array_close = list(df['Close'])
array_volume = list(df['Volume'])
for i in range(1, len(self.df)):
if (array_close[i] > array_close[i-1]):
obv[i] = obv[i-1] + array_volume[i]
elif (array_close[i] < array_close[i-1]):
obv[i] = obv[i-1] - array_volume[i]
else:
obv[i] = obv[i-1]
Tip
A rising OBV reflects positive volume pressure that can lead to higher prices
A falling OBV reflects negative volume pressure that can foreshadow lower prices
Volume Rate of Change¶
The way of calculating Volume ROC is similar to ROC:
n = 25 # example time period
df['Volume ROC'] = ((df['Close'] - df['Close'].shift(n)) /
df['Close'].shift(n))
Here is a simple example strategy based on Volume ROC:
Tip
Buy signal: if Volume ROC goes below zero
Sell signal: if Volume ROC is negative
References
Image sources
- 1
By Probe-meteo.com - Probe-meteo.com, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=26048221
Attention


|
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to Las Vegas |
$398
|
| Boston
to San Francisco |
$513
|
| Los
Angeles to Chicago |
$168
|
| New
York to Chicago |
$198
|
| Phoenix
to San Francisco |
$213
|
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Always
carry a travel first aid kit with bandages, antacids, aspirin, bee
sting wipes, and other basic necessities. |
|
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I'm a 30 something mom and wife to a full-stack programmer. I have the creative edge my husband wishes he had for front end. I'm looking for a career change! When I'm not at work taking care of my clients with their concierge service, coding frantically in the early morning hours or being the domestic goddess I strive to be...you can find me outside with our dogs and son. This leap of faith into the full stack world is intended to open doors and provide the opportuity of blending career, wife and mom.
Countless hours and lots of priceless learnings
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The ATmega16/ATmega32 development board offered by Grape Labs, is a good choice for students and educators alike and will help with the initial setup for an embedded project. With this development board, you can kick-start your prototyping or even develop a product. Write the code, upload/burn it, create interface circuits to read switches and other sensors, control motors and many other electronic modules with very little effort and give life to your project. Get in touch with us if you are interested in buying it. Download the User Manual for more details.
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WorkIndicatorDialog(owner: Window, label: String)
Used to show a spinner when we are doing some work... P = Input parameter type. Given to the closure as parameter. Return type is always Integer. (cc) @imifos


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Upload Sound
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At the UnJDead.Network, we are more than just a network of Minecraft servers, we are a network players and people first.
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The table below shows the available API endpoints with their associated methods.
| Route | Descripton |
|---|---|
| {{ route['route'] }} |
{% autoescape False %}
{{ route['description'] | replace('\n', '
') }} {% endautoescape %} |


class Query
Query objects.
Methods
|
__construct(PDO $pdo, string $sql, array $args = array())
Constructor. |
||
| array |
next()
Return the next row. |
|
| integer |
affected()
Return the number of affected rows. |
|
| integer |
count()
Count the results. |
|
| array |
first()
Return the first row only. |
|
| array |
all()
Return all rows at once. |
|
|
getSQL()
|
||
|
getParameters()
|
Details
at line 30
public
__construct(PDO $pdo, string $sql, array $args = array())
Constructor.
at line 54
public array
next()
Return the next row.
at line 63
public integer
affected()
Return the number of affected rows.
at line 72
public integer
count()
Count the results.
at line 81
public array
first()
Return the first row only.
at line 90
public array
all()
Return all rows at once.
at line 94
public
getSQL()
at line 98
public
getParameters()


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Class DiffAwareGridView<T>
A grid view wrapper useful for recording diffs (change-sets) of changes to a grid view, and applying/removing those change-sets of values from the grid view. Only works with grid views of value types.
Inherited Members
Namespace: SadRogue.Primitives.GridViews
Assembly: TheSadRogue.Primitives.dll
Syntax
public class DiffAwareGridView<T> : SettableGridViewBase<T>, ISettableGridView<T>, IGridView<T> where T : struct, ValueType
Type Parameters
| Name | Description |
|---|---|
| T | Type of value in the grid view. Must be a value type. |
Remarks
Generally, this class is useful with values types/primitive types wherein values are completely replaced when they are modified. It allows applying a series of change sets in forward or reverse order; and as such can be extremely useful for debugging or situations where you want to record intermediate states of an algorithm.
Constructors
DiffAwareGridView(ISettableGridView<T>, Boolean)
Constructs a diff-aware grid view that wraps around an existing grid view.
Declaration
public DiffAwareGridView(ISettableGridView<T> baseGrid, bool autoCompress = true)
Parameters
| Type | Name | Description |
|---|---|---|
| ISettableGridView<T> | baseGrid | The grid view whose changes are to be recorded in diffs. |
| Boolean | autoCompress | Whether or not to automatically compress diffs when the currently applied diff is changed. |
DiffAwareGridView(Int32, Int32, Boolean)
Constructs a diff-aware grid view, whose base grid will be a new ArrayView<T>.
Declaration
public DiffAwareGridView(int width, int height, bool autoCompress = true)
Parameters
| Type | Name | Description |
|---|---|---|
| Int32 | width | Width of the base grid view that will be created. |
| Int32 | height | Height of the base grid view that will be created. |
| Boolean | autoCompress | Whether or not to automatically compress diffs when the currently applied diff is changed. |
Fields
AutoCompress
Whether or not to automatically compress diffs when the currently applied diff is changed.
Declaration
public bool AutoCompress
Field Value
| Type | Description |
|---|---|
| Boolean |
Properties
BaseGrid
The grid view whose changes are being recorded in diffs.
Declaration
public IGridView<T> BaseGrid { get; }
Property Value
| Type | Description |
|---|---|
| IGridView<T> |
CurrentDiffIndex
The index of the diff whose ending state is currently reflected in BaseGrid. Returns -1 if none of the diffs in the list have been applied (eg. the grid view is in the state it was in at the DiffAwareGridView<T>'s creation.
Declaration
public int CurrentDiffIndex { get; }
Property Value
| Type | Description |
|---|---|
| Int32 |
Diffs
All diffs recorded for the current grid view, and their changes.
Declaration
public IReadOnlyList<Diff<T>> Diffs { get; }
Property Value
| Type | Description |
|---|---|
| IReadOnlyList<Diff<T>> |
Height
The height of the grid being represented.
Declaration
public override int Height { get; }
Property Value
| Type | Description |
|---|---|
| Int32 |
Overrides
Item[Point]
Interface designed to act as a standardized input/output format that defines minimal required data for algorithms that operate and make changes to a grid of some sort. For a concrete implementation to subclass for custom implementations, see SettableGridViewBase<T>.
Declaration
public override T this[Point pos] { get; set; }
Parameters
| Type | Name | Description |
|---|---|---|
| Point | pos | Location to get/set the value for. |
Property Value
| Type | Description |
|---|---|
| T | The "value" associated with the provided location. |
Overrides
Remarks
See IGridView<T>. This interface serves the same purpose, but for cases when it is also necessary for an algorithm to be able to change the value at each location.
Like IGridView, a number of implementations of this interface to cover common needs are provided. For example, ArrayView<T> defines the interface such that the data is retrieved from and set to an array, and LambdaSettableGridView<T> defines the interface such that arbitrary callbacks are used to retrieve and set the data.
Width
The width of the grid being represented.
Declaration
public override int Width { get; }
Property Value
| Type | Description |
|---|---|
| Int32 |
Overrides
Methods
ApplyNextDiff()
Applies the next recorded diff, or throws exception if there is no future diffs recorded.
Declaration
public void ApplyNextDiff()
ApplyNextDiffOrFinalize()
Convenience method that calls ApplyNextDiff() if there are existing diffs to apply, and FinalizeCurrentDiff() if there are no existing diffs to apply. Returns whether or not an existing diff was applied.
Declaration
public bool ApplyNextDiffOrFinalize()
Returns
| Type | Description |
|---|---|
| Boolean | True if an existing diff is applied, false if a new one was created. |
ClearHistory()
Erase recorded diffs without modifying state of grid view.
Declaration
public void ClearHistory()
FinalizeCurrentDiff()
Finalizes the current diff so that no more changes can be added to it; future changes will create a new diff. Throws exceptions if there are diffs that are not currently applied.
Declaration
public void FinalizeCurrentDiff()
RevertToPreviousDiff()
Reverts the current diff's changes, so that the grid view will be in the state it was in at the end of the previous diff. Throws exception if no diffs are applied.
Declaration
public void RevertToPreviousDiff()
SetBaseline(IGridView<T>)
Sets the baseline values (eg. values before any diffs are recorded) to the values from the given grid view. Only valid to do before any diffs are recorded.
Declaration
public void SetBaseline(IGridView<T> baseline)
Parameters
| Type | Name | Description |
|---|---|---|
| IGridView<T> | baseline | Baseline values to use. Must have same width/height as BaseGrid. |
SetHistory(IEnumerable<Diff<T>>)
Overwrite any history present and replace it with the history given. This does not modify the underlying grid view; the history must be valid with respect to its current state.
Declaration
public void SetHistory(IEnumerable<Diff<T>> history)
Parameters
| Type | Name | Description |
|---|---|---|
| IEnumerable<Diff<T>> | history | The history to apply. |
Remarks
Generally, you will not call this function, however it can be useful for serialization and copying histories between objects. Assumes the grid view is in a state that reflects all of the diffs in the history being applied.
SetHistory(IEnumerable<Diff<T>>, Int32)
Overwrite any history present and replace it with the history given. This does not modify the underlying grid view; the history must be valid with respect to its current state.
Declaration
public void SetHistory(IEnumerable<Diff<T>> history, int currentIndex)
Parameters
| Type | Name | Description |
|---|---|---|
| IEnumerable<Diff<T>> | history | The history to apply. |
| Int32 | currentIndex | The index of the given history that is applied to the BaseGrid. Set to the length of the list - 1 if all diffs have been applied, or -1 if none of them have. |
Remarks
Generally, you will not call this function, however it can be useful for serialization and copying histories between objects.


|
GT RoboCup SSL
Soccer software, robot firmware
|
The mTrain on boot runs the user program located at the predetermined memory address 0x0800000 We flash code to this address using the J-Link in-order to be executed.
The J-Link software can be downloaded at: https://www.segger.com/downloads/jlink/#J-LinkSoftwareAndDocumentationPack For Ubuntu you want to download the file labeled as 'J-Link Software and Documentation pack for Linux, DEB installer, 64-bit'
Provided that file was stored in your downloads folder you can use the below to install the package:
NOTE The name of the exact file may be slightly different depending on what version you downloaded so copying and pasting the above may not work.
After installing the J-Link software package please restart your terminal emulator and try to tab complete and open the program JLinkExe. If you are successful you will be greeted by the following:
Followed by a can not connect error if the J-Link is not connected. Close JLinkExe with exit.
Plug in the JLink unit to a usb port on your computer Attach the ARM-JTAG-20-10 connector to the 20 pin connector side of the J-Link unit.
Attach the smaller 10 pin connector to the 10 pins on the top of the mTrain.
Plug in the mTrain mini usb connector and plug the other end to your computer. TODO attach picture here of JLink header and where it connects on the mTrain
The mini usb powers the mTrain if its not receiving power from the board so it should light up after this.
If you have not already setup robocup-firmware to build do that now (following the guide in getting started). To build it again run the following:
After building navigate to the top level of the robojackets firmware repo. Then navigate to the build location of the robocup binaries:
Run J-LinkExe
At this point you will get the same message as in the setting up J-Link software section. Then you need to connect to the processor via the following command
continue hitting enter to use all the default options and you should get a wall of processor information and a message that you have connected.
To program the mtrain use:
You should now see a progress bar for erasing flash and subsequently flashing memory. After this completes your are done and can exit J-Link. Restart the mTrain with the push button on top of the module and your code should now be running.
Using GDB for debugging with RoboCup Firmware is different than debugging a program on your computer. Normally when start up an instance of GDB, you either start it with a binary name or use file after starting along with a file path to a binary to debug. If a binary is compiled with debug symbols (eg using the -g flag on gcc) the binary will have a symbol table which stores the human readable symbol names for memory locations (variables). Of course in addition to loading the symbol table if it exist gdb also loads the program into your memory and then waits for your to issue run before executing any instructions.
All of the above assumes we are running the program on the same computer we are running gdb. With RoboCup firmware this is not the case. Our program is being executed by the mTrain so we want to debug the code as it runs on the mTrain, not our local system. To do this we setup a gdbserver on the J-Link itself, which will preform the functions gdb did on our local system for the program running on the mtrain (eg starting and stopping the program as it encounters certain memory addresses like breakpoints). However the binary (.bin) we flash to the robot does not contain debug symbols, only the .elf does. The gdb server running on the J-Link does not have any idea what the symbol table contains, just at what memory addresses to stop. Instead we boot a local instance of gdb with the symbol table by loading the .elf and then connect to the gdb server running on the J-Link to control GDB (issue breakpoints, print a variable's value, etc).
Usually we would use run to reload the program but when using GDB server the process is slightly different(note we didnt use run to start the program either). Instead we issue the following two commands to restart the program from the beginning:


A heading here
Posted by John Doe
Some additional information here
This is example of valid HTML structure code.
Posted by John Doe
Some additional information here
This is a paragraph.
quote
marronnierfort cerisier poirier peuplier noisetier
wdk is....
| Firstname | Lastname | Age |
|---|---|---|
| Jill | Smith | 50 |
| Eve | Jackson | 94 |
| Firstname | Lastname | Age |
|---|---|---|
| Jill | Smith | 50 |
| Eve | Jackson | 94 |
| Floor | Jansen | 39 |
My blue


Method GetLicense
| Improve this Doc View SourceGetLicense()
Gets a license for executing assembly.
Declaration
public static License GetLicense()
Returns
| Type | Description |
|---|---|
| License | A License object, or null for the assembly is not licensed. |
Remarks
The returned License object may not be able to be granted as a valid license. Call LicenseManager.Check method to determine whether a valid license can be granted.
GetLicense(Boolean)
Gets a license for executing assembly, given specified design time or runtime mode.
Declaration
public static License GetLicense(bool designMode)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | designMode | Specifies the design time or runtime mode. true for design time, otherwise runtime. |
Returns
| Type | Description |
|---|---|
| License | A License object, or null for the assembly is not licensed. |
Remarks
The returned License object may not be able to be granted as a valid license. Call LicenseManager.Check method to determine whether a valid license can be granted.
GetLicense(Type, Boolean)
Gets a license for assembly containing specified type, given specified design time or runtime mode.
Declaration
public static License GetLicense(Type type, bool designMode)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Type | type | The type contained by the assembly. |
| System.Boolean | designMode | Specifies the design time or runtime mode. true for design time, otherwise runtime. |
Returns
| Type | Description |
|---|---|
| License | A License object, or null for the assembly is not licensed. |
Remarks
The returned License object may not be able to be granted as a valid license. Call LicenseManager.Check method to determine whether a valid license can be granted.
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentNullException |
|
GetLicense(Assembly, Boolean)
Gets a license for specified assembly, given specified design time or runtime mode.
Declaration
public static License GetLicense(Assembly assembly, bool designMode)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Reflection.Assembly | assembly | The specified assembly. |
| System.Boolean | designMode | Specifies the design time or runtime mode. true for design time, otherwise runtime. |
Returns
| Type | Description |
|---|---|
| License | A License object, or null for the assembly is not licensed. |
Remarks
The returned License object may not be able to be granted as a valid license. Call LicenseManager.Check method to determine whether a valid license can be granted.
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentNullException |
|


Welcome To My Humble Abode.
Scroll down to know more.
A Computer Science Student, a Programmer, Freelance Content Writer, a Freelance Front-End Web Developer, Blogger,
Python Developer, Nyctophile, Melophile.
I am also an active GitHub user. I've been intrigued in the subject of Computer Science for a long time now. I have experience
with developing front-end of websites, C/C++ and Java/JavaScript projects. I am further interested in extending my knowledge and experience
on Machine Learning, Data Science, Cloud Services, etc.
That was all about me. Tell me about yourself. I would love interacting with you.......


multixterm - drive multiple xterms separately or together
Multixterm creates multiple xterms that can be driven together or separately.
In its simplest form, multixterm is run with no arguments and commands are interactively entered in the first entry field. Press return (or click the "new xterm" button) to create a new xterm running that command.
Keystrokes in the "stdin window" are redirected to all xterms started by multixterm. xterms may be driven separately simply by focusing on them.
The stdin window must have the focus for keystrokes to be sent to the xterms. When it has the focus, the color changes to aquamarine. As characters are entered, the color changes to green for a second. This provides feedback since characters are not echoed in the stdin window.
Typing in the stdin window while holding down the alt or meta keys sends an escape character before the typed characters. This provides support for programs such as emacs.
-xa The optional -xa argument indicates arguments to pass to xterm.
-xc The optional -xc argument indicates a command to be run in each named xterm (see -xn). With no -xc argument, the command is the current shell.
-xd The optional -xd argument indicates a directory to search for files that will appear in the Files menu. By default, the directory is: ~/lib/multixterm
-xf The optional -xf argument indicates a file to be read at startup. See FILES below for more info.
-xn The optional -xn argument indicates a name for each xterm. This name will also be substituted for any %n in the command argument (see -xc).
-xv The optional -xv flag puts multixterm into a verbose mode where it will describe some of the things it is doing internally. The verbose output is not intended to be understandable to anyone but the author.
Less common options may be changed by the startup file (see FILES below).
All the usual X and wish flags are supported (i.e., -display, -name). There are so many of them that to avoid colliding and make them easy to remember, all the multixterm flags begin with -x.
If any arguments do not match the flags above, the remainder of the command line is made available for user processing. By default, the remainder is used as a list of xterm names in the style of -xn. The default behavior may be changed using the .multixtermrc file (see DOT FILE below).
The following command line starts up two xterms using ssh to the hosts bud and dexter.
multixterm -xc "ssh %n" bud dexter
Command files may be used to drive or initialize multixterm. The File menu may be used to invoke other files. If files exist in the command file directory (see -xd above), they will appear in the File menu. Files may also be loaded by using File->Open. Any filename is acceptable but the File->Open browser defaults to files with a .mxt suffix.
Files are written in Tcl and may change any variables or invoke any procedures. The primary variables of interest are 'xtermCmd' which identifies the command (see -xc) and 'xtermNames' which is a list of names (see -xn). The procedure xtermStartAll, starts xterms for each name in the list. Other variables and procedures may be discovered by examining multixterm itself.
The following file does the same thing as the earlier example command line:
# start two xterms connected to bud and dexter set xtermCmd "ssh %n" set xtermNames {bud dexter} xtermStartAll
At startup, multixterm reads ~/.multixtermrc if present. This is similar to the command files (see FILES above) except that .multixtermrc may not call xtermStartAll. Instead it is called implicitly, similar to the way that it is implicit in the command line use of -xn.
The following example .multixtermrc file makes every xterm run ssh to the hosts named on the command line.
set xtermCmd "ssh %n"
Then multixterm could be called simply:
multixterm bud dexter
If any command-line argument does not match a multixterm flag, the remainder of the command line is made available to .multixtermrc in the argv variable. If argv is non-empty when .multixtermrc returns, it is assigned to xtermNames unless xtermNames is non-empty in which case, the content of argv is ignored.
Commands from multixterm are evaluated early in the initialization of multixterm. Anything that must be done late in the initialization (such as adding additional bindings to the user interface) may be done by putting the commands inside a procedure called "initLate".
Except as otherwise noted, the menus are self-explanatory. Some of the menus have dashed lines as the first entry. Clicking on the dashed lines will "tear off" the menus.
Aliases may be used to store lengthy command-line invocations. Command files can be also be used to store such invocations as well as providing a convenient way to share configurations.
Tcl is a general-purpose language. Thus multixterm command files can be extremely flexible, such as loading hostnames from other programs or files that may change from day-to-day. In addition, command files can be used for other purposes. For example, command files may be used to prepared common canned interaction sequences. For example, the command to send the same string to all xterms is:
xtermSend "a particularly long string"
The File menu (torn-off) makes canned sequences particularly convenient. Interactions could also be bound to a mouse button, keystroke, or added to a menu via the .multixtermrc file.
The following .multixtermrc causes tiny xterms to tile across and down the screen. (You may have to adjust the parameters for your screen.) This can be very helpful when dealing with large numbers of xterms.
set yPos 0 set xPos 0 trace variable xtermArgs r traceArgs proc traceArgs {args} { global xPos yPos set ::xtermArgs "-geometry 80x12+$xPos+$yPos -font 6x10" if {$xPos} { set xPos 0 incr yPos 145 if {$yPos > 800} {set yPos 0} } else { set xPos 500 } }
The xtermArgs variable in the code above is the variable corresponding to the -xa argument.
xterms can be also be created directly. The following command file creates three xterms overlapped horizontally:
set xPos 0 foreach name {bud dexter hotdog} { set ::xtermArgs "-geometry 80x12+$xPos+0 -font 6x10" set ::xtermNames $name xtermStartAll incr xPos 300 }
The following .multixtermrc shows an example of changing the default handling of the arguments from hostnames to a filename containing hostnames:
set xtermNames [exec cat $argv]
The following is a variation, retrieving the host names from the yp database:
set xtermNames [exec ypcat $argv]
The following hardcodes two sets of hosts, so that you can call multixterm with either "cluster1" or "cluster2":
switch $argv { cluster1 { set xtermNames "bud dexter" } cluster2 { set xtermNames "frank hotdog weiner" } }
It is worth comparing multixterm to xkibitz. Multixterm connects a separate process to each xterm. xkibitz connects the same process to each xterm.
Multixterm provides no way to remotely control scrollbars, resize, and most other window system related functions.
Because xterm has no mechanism for propagating size information to external processes, particularly for character graphic applications (e.g., vi, emacs), you may have to manually ensure that the spawned process behind each xterm has the correct size. For example, if you create or set the xterm to a size, you may have to send an explicit stty command with the correct size to the spawned process(es). Alternatively, you can add the correct size argument when an xterm is created (i.e., "-geometry 80x20").
Multixterm can only control new xterms that multixterm itself has started.
As a convenience, the File menu shows a limited number of files. To show all the files, use File->Open.
$DOTDIR/.multixtermrc initial command file
~/.multixtermrc fallback command file
~/lib/multixterm/ default command file directory
If multixterm is killed using an uncatchable kill, the xterms are not killed. This appears to be a bug in xterm itself.
Send/expect sequences can be done in multixterm command files. However, due to the richness of the possibilities, to document it properly would take more time than the author has at present.
Requires Expect 5.36.0 or later.
Requires Tk 8.3.3 or later.
This man page describes version 1.8 of multixterm.
The latest version of multixterm is available from http://expect.nist.gov/example/multixterm . If your version of Expect and Tk are too old (see REQUIREMENTS above), download a new version of Expect from http://expect.nist.gov
April 30, 2002
Don Libes<EMAIL_ADDRESS>Multixterm is in the public domain; however the author would appreciate acknowledgement if multixterm or parts of it or ideas from it are used.


Class: Aws::MediaConvert::Types::JobSettings
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb |
Overview
JobSettings
contains all the transcode settings for a job.
Constant Summary
Instance Attribute Summary
-
#ad_avail_offset ⇒ Integer
rw
When specified, this offset (in milliseconds) is added to the input Ad Avail PTS time.
-
#avail_blanking ⇒ Types::AvailBlanking
rw
Settings for ad avail blanking.
-
#esam ⇒ Types::EsamSettings
rw
Settings for Event Signaling And Messaging (ESAM).
-
#extended_data_services ⇒ Types::ExtendedDataServices
rw
If your source content has EIA-608 Line 21 Data Services, enable this feature to specify what
::Aws::MediaConvert
does with the Extended Data Services (XDS) packets. -
#inputs ⇒ Array<Types::Input>
rw
Use Inputs to define source file used in the transcode job.
-
#kantar_watermark ⇒ Types::KantarWatermarkSettings
rw
Use these settings only when you use Kantar watermarking.
-
#motion_image_inserter ⇒ Types::MotionImageInserter
rw
Overlay motion graphics on top of your video.
-
#nielsen_configuration ⇒ Types::NielsenConfiguration
rw
Settings for your Nielsen configuration.
-
#nielsen_non_linear_watermark ⇒ Types::NielsenNonLinearWatermarkSettings
rw
Ignore these settings unless you are using Nielsen non-linear watermarking.
-
#output_groups ⇒ Array<Types::OutputGroup>
rw
Contains one group of settings for each set of outputs that share a common package type.
-
#timecode_config ⇒ Types::TimecodeConfig
rw
These settings control how the service handles timecodes throughout the job.
-
#timed_metadata_insertion ⇒ Types::TimedMetadataInsertion
rw
Insert user-defined custom ID3 metadata at timecodes that you specify.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Structure#to_h. |
Instance Attribute Details
#ad_avail_offset ⇒ Integer
(rw)
When specified, this offset (in milliseconds) is added to the input Ad Avail PTS time.
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#avail_blanking ⇒ Types::AvailBlanking (rw)
Settings for ad avail blanking. Video can be blanked or overlaid with an image, and audio muted during SCTE-35 triggered ad avails.
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#esam ⇒ Types::EsamSettings (rw)
Settings for Event Signaling And Messaging (ESAM). If you don't do ad insertion, you can ignore these settings.
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#extended_data_services ⇒ Types::ExtendedDataServices (rw)
If your source content has EIA-608 Line 21 Data Services, enable
this feature to specify what ::Aws::MediaConvert
does with the Extended
Data Services (XDS) packets. You can choose to pass through XDS
packets, or remove them from the output. For more information about
XDS, see EIA-608 Line Data Services, section <IP_ADDRESS> 05h Content
Advisory.
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#inputs ⇒ Array
<Types::Input> (rw)
Use Inputs to define source file used in the transcode job. There can be multiple inputs add in a job. These inputs will be concantenated together to create the output.
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#kantar_watermark ⇒ Types::KantarWatermarkSettings (rw)
Use these settings only when you use Kantar watermarking. Specify
the values that ::Aws::MediaConvert
uses to generate and place Kantar
watermarks in your output audio. These settings apply to every
output in your job. In addition to specifying these values, you also
need to store your Kantar credentials in AWS Secrets Manager. For
more information, see
https://docs.aws.amazon.com/mediaconvert/latest/ug/kantar-watermarking.html.
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#motion_image_inserter ⇒ Types::MotionImageInserter (rw)
Overlay motion graphics on top of your video. The motion graphics that you specify here appear on all outputs in all output groups. For more information, see https://docs.aws.amazon.com/mediaconvert/latest/ug/motion-graphic-overlay.html.
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#nielsen_configuration ⇒ Types::NielsenConfiguration (rw)
Settings for your Nielsen configuration. If you don't do Nielsen
measurement and analytics, ignore these settings. When you enable
Nielsen configuration, ::Aws::MediaConvert
enables PCM to ID3 tagging for
all outputs in the job.
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#nielsen_non_linear_watermark ⇒ Types::NielsenNonLinearWatermarkSettings (rw)
Ignore these settings unless you are using Nielsen non-linear
watermarking. Specify the values that ::Aws::MediaConvert
uses to generate
and place Nielsen watermarks in your output audio. In addition to
specifying these values, you also need to set up your cloud TIC
server. These settings apply to every output in your job. The
::Aws::MediaConvert
implementation is currently with the following Nielsen
versions: Nielsen Watermark SDK Version 5.2.1 Nielsen NLM Watermark
Engine Version 1.2.7 Nielsen Watermark Authenticator [SID_TIC]
Version [5.0.0]
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#output_groups ⇒ Array
<Types::OutputGroup> (rw)
Contains one group of settings for each set of outputs that share a
common package type. All unpackaged files (MPEG-4, MPEG-2 TS,
Quicktime, MXF, and no container) are grouped in a single output
group as well. Required in is a group of settings that apply to the
whole group. This required object depends on the value you set for
Type. Type, settings object pairs are as follows. *
FILE_GROUP_SETTINGS, FileGroupSettings
* HLS_GROUP_SETTINGS,
HlsGroupSettings
* DASH_ISO_GROUP_SETTINGS, DashIsoGroupSettings
- MS_SMOOTH_GROUP_SETTINGS,
MsSmoothGroupSettings
* CMAF_GROUP_SETTINGS,CmafGroupSettings
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#timecode_config ⇒ Types::TimecodeConfig (rw)
These settings control how the service handles timecodes throughout the job. These settings don't affect input clipping.
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end
#timed_metadata_insertion ⇒ Types::TimedMetadataInsertion (rw)
Insert user-defined custom ID3 metadata at timecodes that you specify. In each output that you want to include this metadata, you must set ID3 metadata to Passthrough.
# File 'gems/aws-sdk-mediaconvert/lib/aws-sdk-mediaconvert/types.rb', line 7864
class JobSettings < Struct.new( :ad_avail_offset, :avail_blanking, :esam, :extended_data_services, :inputs, :kantar_watermark, :motion_image_inserter, :nielsen_configuration, :nielsen_non_linear_watermark, :output_groups, :timecode_config, : ) SENSITIVE = [] include Aws::Structure end


my ($self, $output_ids, $branch_name_or_code) = @_;
my $input_id = $self->input_id();
my $hive_use_param_stack = $self->hive_pipeline->hive_use_param_stack;
$output_ids ||= [ $hive_use_param_stack ? {} : $input_id ]; # by default replicate the parameters of the parent in the child
$output_ids = [ $output_ids ] unless(ref($output_ids) eq 'ARRAY'); # force previously used single values into an arrayref
# map branch names to numbers:
# if branch_code is set to 1 (explicitly or implicitly), turn off automatic dataflow:
$self->autoflow(0) if($branch_code == 1);
my @output_job_ids = ();
# fan rules come sorted before funnel rules for the same branch_code:
foreach my $df_rule ( @{ $self->analysis->dataflow_rules_by_branch->{$branch_code} || [] } ) {
my $targets_grouped_by_condition = $df_rule->get_my_targets_grouped_by_condition; # the pairs are deliberately ordered to put the DEFAULT branch last
my @conditions = map { $_->[0] } @$targets_grouped_by_condition;
my $total_output_ids_for_the_rule = 0;
foreach my $output_id (@$output_ids) { # filter the output_ids and place them into the [2] part of $targets_grouped_by_condition
my $condition_match_count = 0;
foreach my $condition_idx (0..@conditions-1) {
my $unsubstituted_condition = $conditions[$condition_idx];
if(defined($unsubstituted_condition)) {
if(my $substituted_condition = $self->param_substitute('#expr('.$unsubstituted_condition.')expr#', $output_id)) {
$condition_match_count++;
} else {
next; # non-DEFAULT condition branch failed
}
} elsif($condition_match_count) {
next; # DEFAULT condition branch failed, because one of the conditions fired
} else {
# DEFAULT condition branch succeeded => follow to the push
}
push @{$targets_grouped_by_condition->[$condition_idx][2]}, $output_id;
$total_output_ids_for_the_rule += scalar( @{ $targets_grouped_by_condition->[$condition_idx][1] } );
}
}
my $fan_cache_for_this_rule = exists($self->fan_cache->{"$df_rule"}) && $self->fan_cache->{"$df_rule"};
if($fan_cache_for_this_rule && @$fan_cache_for_this_rule && $total_output_ids_for_the_rule!=1) {
die "The total number of funnel output_ids (considering ".scalar(@conditions)." conditions) was $total_output_ids_for_the_rule, but expected to be 1. Please investigate";
}
foreach my $triple (@$targets_grouped_by_condition) {
my ($unsubstituted_condition, $df_targets, $filtered_output_ids) = @$triple;
if($filtered_output_ids && @$filtered_output_ids) {
foreach my $df_target (@$df_targets) {
# parameter substitution into input_id_template is rule-specific
my $output_ids_for_this_rule;
if(my $template_string = $df_target->input_id_template()) {
my $template_hash = destringify($template_string);
$output_ids_for_this_rule = [ map { $self->param_substitute($template_hash, $_) } @$filtered_output_ids ];
} else {
$output_ids_for_this_rule = $filtered_output_ids;
}
my ($stored_listref) = $df_target->to_analysis->dataflow( $output_ids_for_this_rule, $self,
$hive_use_param_stack || $df_target->extend_param_stack, $df_rule );
push @output_job_ids, @$stored_listref;
} # /foreach my $df_target
} # /if(filtered_output_ids are workable)
} # /foreach my $unsubstituted_condition
} # /foreach my $df_rule
return \@output_job_ids;
}


 Kevin pork chop ball tip shankle. Shoulder kielbasa pork loin, pork belly andouille brisket beef chicken strip steak tongue ham ball tip tri-tip bacon.  Leberkas hamburger pancetta strip steak tongue short loin. Bacon ball tip landjaeger chuck brisket corned beef.
Hamburger doner short loin strip steak meatloaf turkey cow capicola. Venison pork pork belly hamburger. Tenderloin pork loin pastrami corned beef. Leberkas corned beef tail capicola beef. Flank andouille kevin swine, pork belly frankfurter boudin ham hock shank filet mignon jerky brisket shoulder landjaeger ground round.
Section header
Modal header
font-family: 'Proxima Nova'; font-weight: 300;
font-family: 'Proxima Nova'; font-weight: 600;
font-family: 'Proxima Nova'; font-weight: 700;
Forms
Text links
Buttons
Dropdowns
Components
Title Bars
Labels
| sl-disabled | sl-link | sl-danger | sl-dark | sl-warning | ||
|---|---|---|---|---|---|---|
| sl1 | sample | sample | sample | sample | sample | sample |
| sl2 | sample | sample | sample | sample | sample | sample |
| sl3 | sample | sample | sample | sample | sample | sample |
| sl4 | sample | sample | sample | sample | sample | sample |
| sl5 | sample | sample | sample | sample | sample | sample |
Numbers
| num-danger | num-success | num-disabled | num-light | ||
|---|---|---|---|---|---|
| num1 | sample | sample | sample | sample | sample |
| num2 | sample | sample | sample | sample | sample |
| num3 | sample | sample | sample | sample | sample |
Dashboard
| # | First Name | Last Name | Username |
|---|---|---|---|
| 1 | Mark | Otto | @mdo |
| 2 | Jacob | Thornton | @fat |
| 3 | Larry | the Bird | |
| 3 | Larry | the Bird | |
| 3 | Larry | the Bird |
Table Hover
| # | First Name | Last Name | Username |
|---|---|---|---|
| 1 | Mark | Otto | @mdo |
| 2 | Jacob | Thornton | @fat |
| 3 | Larry | the Bird | |
| 3 | Larry | the Bird | |
| 3 | Larry | the Bird |
Table Striped and condensed
| # | First Name | Last Name | Username |
|---|---|---|---|
| 1 | Mark | Otto | @mdo |
| 2 | Jacob | Thornton | @fat |
| 3 | Larry | the Bird |
Table Bordered and Hover
| # | First Name | Last Name | Username |
|---|---|---|---|
| 1 | Mark | Otto | @mdo |
| 2 | Jacob | Thornton | @fat |
| 3 | Larry | the Bird |


| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| project-fs-store.js | 77.14% | 54/70 | 60.61% | 20/33 | 92.31% | 12/13 | 88.33% | 53/60 | |
| repo-fs-store.js | 63.54% | 176/277 | 48.74% | 58/119 | 69.23% | 36/52 | 70.42% | 169/240 | |
| repo-watched-fs-store.js | 73.97% | 54/73 | 64.29% | 18/28 | 70% | 14/20 | 76.92% | 50/65 |


Internet is the interconnection of networked computers, also known as the web. When we try to access a web page, we actually send an http request to this WEB(interconnection of Computers) through our Browser, which is connected to a collection of HTML documents on a server, which respond to our request and a page is rendered in our browser in the form ofcontent(videos,docs,images).
.HTML -Hyper text mark up language is nothing but the language, a language that contains the following:-
1.Text
2.Markup(the way the page is displayed)
3.References to Other Content(Links to other webpages,
Videosand
images.
The language mainly consists of the following.
1.Tags:-define the layout of the content inside the page
2.Attributes:-refers to additional information regarding the contents
Blocks represent a container element and Inline elements occupies only space within the tags, Also void tags, like image tags.


Zendaya didn't receive a Golden Globes nod for 'Euphoria,' and fans have already begun to riot online, Business Insider - Business Insider Singapore
by Callie Ahlgrim- The 2020 Golden Globes nominations were announced Monday morning.
- HBO’s acclaimed drama “Euphoria” was completely shut out – most notably, the show’s lead actress Zendaya, who plays a teenage drug addict.
- Fans of the young star are already expressing their disappointment and anger online.
- Visit Insider’s homepage for more stories.
The 2020 Golden Globes nominations were announced Monday morning, and fans of HBO’s “Euphoria” have plenty to be upset about.
The acclaimed drama, which aired its first season finale in August, was completely shut out of the Golden Globes TV categories. Most notably, the show’s star, Zendaya, failed to score a nomination for lead actress.
Zendaya’s fans are already up in arms about the perceived snub, expressing their disappointment and anger online.
The former Disney Channel star was praised by critics and fans alike in the most mature role of her career, portraying a teenage drug addict who grapples with the lasting effects of an accidental overdose, failed attempts at recovery, and falling in love for the first time with her best friend.
Although “Euphoria” wasn’t eligible at the 2019 Emmys, Zendaya was recently nominated for best actress in a drama series for the 2020 Critics’ Choice Awards.
But the young star failed to crack her way into a Golden Globes category stuffed with heavy hitters. The nominees for best actress in a TV series (drama) include Oscar winners Olivia Colman, Reese Witherspoon, and Nicole Kidman, as well as Emmy winners Jodie Comer and Jennifer Aniston, who last won a Golden Globe in 2003 for “Friends.”


object SoundProvider
Provider class for music and sound effects.
isTurnedOn |
Whether or not sounds are played. Value is saved and retrieved from the persistent game preferences. var isTurnedOn: Boolean |
playMusic |
Plays music in a loop. fun playMusic(musicType: MusicType): Int? |
playSound |
Plays a sound. fun playSound(soundType: SoundType): Long? |
stopMusic |
Stops music. fun stopMusic(musicHandle: Int = 0): Unit |


This tests inserting a paragraph separator into a selection that spans multiple paragraphs. 'ar' should be on the line after 'f' and the caret should be just before the 'a'.


Story of Majic The Gathering
In realm far across the galaxy, chaos consumed the planet Majicdor and humans and monsters were forced to battle for supreme control. Humans or Monsters need your help! Help your favorite faction by joining forces and conquering the opposition with this new exciting card game.  Be wary of the health bar, the fate of your faction depends on it. Achieve supreme control by depleting the oppositions health to 0. May your courage be met with the favors of the gods. Good luck!


|
Class Summary |
| AlarmClock |
An AlarmClock is an object that will make a call back at a preset time. |
| Alg |
|
| ArrayUtils |
Collection of array-related operations |
| Base64 |
Encodes and decodes to and from Base64 notation. |
| Base64.Base64InputStream |
A Base64.Base64InputStream will read data from another
java.io.InputStream, given in the constructor,
and encode/decode to/from Base64 notation on the fly. |
| Base64.Base64OutputStream |
A Base64.Base64OutputStream will write data to another
java.io.OutputStream, given in the constructor,
and encode/decode to/from Base64 notation on the fly. |
| BitsInt |
Utilities for manipulating a bit pattern which held in a 32 bit int |
| BitsLong |
Utilities for manipulating a bit pattern which held in a 64 bit long
(java.util.BitSet does not allow getting the pattern as a long) |
| ByteBufferLib |
|
| Bytes |
Byte-oriented operations. |
| CacheFactory |
|
| Chars |
|
| ColumnMap |
General descriptor of a reordering (mapping) of columns in tuples to columns in indexes,
for example, from triples to triple index order. |
| DS |
Datastructure factory - allows indirecly to other implementations |
| FileOps |
|
| Hex |
Working in hex ... |
| IRILib |
Operations related to IRIs |
| Lib |
|
| ListUtils |
|
| Map2<K,V> |
A map with parent sharing. |
| MapUtils |
Map specific functions |
| MultiMap<K,V> |
|
| NumberUtils |
|
| Pair<A,B> |
|
| Pingback<T> |
|
| PoolBase<T> |
A Pool of objects. |
| PoolFiniteBlocking<T> |
|
| PoolSync<T> |
Synchronization wrapper for a pool |
| PropertiesSorted |
Sorted output |
| PropertyUtils |
|
| RandomLib |
|
| Ref<T> |
A mutable container |
| SetUtils |
|
| SinkCounting<T> |
|
| SinkLogging<T> |
|
| SinkNull<T> |
|
| SinkPrint<T> |
|
| SinkSplit<T> |
Split a sink stream and duplicate the operations onto two sinks
See also: SinkWrapper |
| SinkWrapper<T> |
Wrap one sink in another - to pass on behaviour, the derived Sink must call super.operation
See also: SinkSplit |
| Slot<K,V> |
Key-value slot, with chaining for lookup. |
| StrUtils |
|
| SystemUtils |
|
| Tuple<T> |
Tuple class - tuples are immutable and must be created initialized |
| XMLLib |
Operations in somewhay related to XML |


Note: You are viewing the Sails.js v0.9.0 documentation. If you're looking for information on v0.8.x, please visit here.
Sails controllers work very similarly to controllers in other MVC frameworks. Think of controllers as being the middleman between your model and your views.
Controllers are defined in the /api/controllers/
folder. By default when you create a
controller using the command line, you can add additional arguments that represent the controller
actions.
sails generate controller comment create destroy tag like
generates:
// Comment controller with generated actions.
var CommentController = {
create: function(req, res) {
},
destroy: function(req, res) {
},
tag: function(req, res) {
},
like: function(req, res) {
}
}
module.exports = CommentController;
After a controller has been defined, Sails will automatically map out routes to give you easy access.
For the controller above, the routes would be the following:http://localhost:1337/comment/create
http://localhost:1337/comment/destroy
http://localhost:1337/comment/tag
http://localhost:1337/comment/like
Additionally, thanks to blueprints, you also get these methods by default:get /:controller/:id?
post /:controller
put /:controller/:id
delete /:controller/:id
/:controller/find/:id?
/:controller/create
/:controller/update/:id
/:controller/destroy/:id
To turn off the CRUD routes, simply set the ‘shortcuts’ flag to false in config/controllers.js
,
and to turn off REST routes, simply set the ‘rest’ flag to false in config/conttrollers.js
req.param()
Whether it was sent as POSTed JSON, to look up the value of a request parameter, do:
var foo = req.param('foo');
If you need to dive deeper into request parameters, check out the express guide.
req.isSocket
Whether or not this request was sent over Socket.io
req.isAjax
Whether or not this is an AJAX/xhr request
req.isJson
Whether or not this request is JSONish (has a JSON “Accept” or “Content-Type” header)
When responding to a request, Sails uses many of the same res methods as Express.
res.view([view, options[, fn]])
This method is an enhanced version of Express’s res.render()
. The method res.view()
automatically renders the appropriate view based on the controller and action. The original function
is still accessible via res.render()
.
res.send(body|status[, headers|status[, status]])
From the express guide.
The res.send()
method is a high level response utility allowing you to pass objects to respond
with json, strings for html, Buffer instances, or numbers representing the status code. The
following are all valid uses:
res.send(); // 204
res.send(new Buffer('wahoo'));
res.send({ some: 'json' });
res.send('
some html
');
res.send('Sorry, cant find that', 404);
res.send('text', { 'Content-Type': 'text/plain' }, 201);
res.send(404);
By default the Content-Type response header is set, however if explicitly assigned through
res.send()
or previously with res.header()
or res.contentType()
it will not be set
again.
Note that this method ends the response, so you will want to use node’s res.write()
for multiple
writes or streaming.
res.json(obj[, headers|status[, status]])
From the express guide.
Send a JSON response with optional headers and status. This method is ideal for JSON-only APIs,
however res.send(obj)
will send JSON as well, though not ideal for cases when you want to send
for example a string as JSON, since the default for res.send(string)
is text/html.
res.json(null);
res.json({ user: 'tj' });
res.json('oh noes!', 500);
res.json('I dont have that', 404);
res.redirect(url[, status])
From the express guide. Redirect to the given url with a default response status of 302.
res.redirect('/', 301);
res.redirect('/account');
res.redirect('http://google.com');
res.redirect('home');
res.redirect('back');
res.viewExists
Whether or not the view for this controller exists.
In many cases, the reason you have a controller at all is that you want to do custom stuff with your models. Otherwise, you could just use the defaults!
For example, your controller might look like:
// Keep in mind you'd probably want to do this transactionally, in case the chicken is being pecked
var ChickenController = {
// Peck the chicken specified by id (subtract 50 HP)
peck: function (req,res) {
Chicken.find(req.param('id')).exec(function (err, chicken) {
if (err) return res.send(err,500);
if (!chicken) return res.send("No other chicken with that id exists!", 404);
if (chicken.hp <= 0) return res.send("The other chicken is already dead!", 403);
// Subtract 50 HP from the chicken
chicken.hp -= 50;
// Persist the change
chicken.save(function (err) {
if (err) return res.send(err,500);
// Report back with the new state of the chicken
res.json(chicken);
});
});
}
};
module.exports = ChickenController;
Check out the page on Models to learn more.


| Opcode/Instruction | Op /En | 64/32 bit Mode Support | CPUID Feature Flag | Description |
|---|---|---|---|---|
|
EVEX.512.66.0F38.W1 CA /r VRCP28PD zmm1 {k1}{z}, zmm2/m512/m64bcst {sae} |
FV | V/V | AVX512ER | Computes the approximate reciprocals ( < 2^-28 relative error) of the packed double-precision floating-point values in zmm2/m512/m64bcst and stores the results in zmm1. Under writemask. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| FV | ModRM:reg (w) | ModRM:r/m (r) | NA | NA |
Description
Computes the reciprocal approximation of the float64 values in the source operand (the second operand) and store the results to the destination operand (the first operand). The approximate reciprocal is evaluated with less than 2^-28 of maximum relative error.
Denormal input values are treated as zeros and do not signal #DE, irrespective of MXCSR.DAZ. Denormal results are flushed to zeros and do not signal #UE, irrespective of MXCSR.FZ.
If any source element is NaN, the quietized NaN source value is returned for that element. If any source element is ±∞, ±0.0 is returned for that element. Also, if any source element is ±0.0, ±∞ is returned for that element.
The source operand is a ZMM register, a 512-bit memory location or a 512-bit vector broadcasted from a 64-bit memory location. The destination operand is a ZMM register, conditionally updated using writemask k1.
EVEX.vvvv is reserved and must be 1111b otherwise instructions will #UD.
A numerically exact implementation of VRCP28xx can be found at https://software.intel.com/en-us/articles/refer-ence-implementations-for-IA-approximation-instructions-vrcp14-vrsqrt14-vrcp28-vrsqrt28-vexp2.
Operation
VRCP28PD (EVEX encoded versions)
(KL, VL) = (8, 512)
FOR j (cid:197) 0 TO KL-1
i (cid:197) j * 64
IF k1[j] OR *no writemask* THEN
IF (EVEX.b = 1) AND (SRC *is memory*)
THEN DEST[i+63:i] (cid:197) RCP_28_DP(1.0/SRC[63:0]);
ELSE DEST[i+63:i] (cid:197) RCP_28_DP(1.0/SRC[i+63:i]);
FI;
ELSE
IF *merging-masking*
; merging-masking
THEN *DEST[i+63:i] remains unchanged*
ELSE
; zeroing-masking
DEST[i+63:i] (cid:197) 0
FI;
FI;
ENDFOR;
| Input value | Result value | Comments |
|---|---|---|
| NAN | QNAN(input) | If (SRC = SNaN) then #I |
| 0 ≤ X < 2-1022 | INF | Positive input denormal or zero; #Z |
| -2-1022 < X ≤ -0 | -INF | Negative input denormal or zero; #Z |
| X > 21022 | +0.0f | |
| X < -21022 | -0.0f | |
| X = +∞ | +0.0f | |
| X = -∞ | -0.0f | |
| X = 2-n | 2n | Exact result (unless input/output is a denormal) |
| X = -2-n | -2n | Exact result (unless input/output is a denormal) |
Intel C/C++ Compiler Intrinsic Equivalent
VRCP28PD __m512d _mm512_rcp28_round_pd ( __m512d a, int sae);
VRCP28PD __m512d _mm512_mask_rcp28_round_pd(__m512d a, __mmask8 m, __m512d b, int sae);
VRCP28PD __m512d _mm512_maskz_rcp28_round_pd( __mmask8 m, __m512d b, int sae);
SIMD Floating-Point Exceptions
Invalid (if SNaN input), Divide-by-zero
Other Exceptions
See Exceptions Type E2.


Switch from bar to liquid soap that doesn’t lather. Instead of stripping your skin with foamy cleansers, nourish your skin while you cleanse for a healthy clean glow. You can use oils such as argan and almond oil... to cleanse the skin naturally or use a natural cleanser.
If your skin is red and irritated, you’ll want to soothe it right away. Prolonged inflammation of your skin can cause your skin to break down collagen. Or,... if you just want smooth, vibrant skin, you can also use this skin soother. Aloe Vera gel has antimicrobial, anti-inflammatory and healing properties, and it penetrates the skin easily to provide nourishment.
White and green teas applied topically on the skin have anti-inflammatory, brightening, evening, cleansing and hydrating properties. They’re ideal for using as a skin brightening tea toner. You can make a tea toner... with one or both of these teas by steeping the teas for 5 minutes, allowing them to cool to room temperature. Then, either pat onto your face, apply with cotton pads or pour into a spray bottle and spritz onto clean skin.
In a small saucepan on low heat, warm 1 Tablespoon coconut oil until it liquefies. Remove from heat and add 4 fresh or frozen red raspberries. Mash berries and blend until smooth. Place in a... small glass container and refrigerate until firm. Use clean fingers or a lipgloss brush to smooth over lips. Make this fresh every few days.
| Name | Comment |


|
lubyk
0.5
|
Color for debug drawing. Each value has the range [0,1]. More...
#include <b2Draw.h>
Public Member Functions | |
| b2Color () | |
| b2Color (float32 r, float32 g, float32 b) | |
| void | Set (float32 ri, float32 gi, float32 bi) |
Public Attributes | |
| float32 | r |
| float32 | g |
| float32 | b |


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