- getAcceleration() - Method in class com.lasarobotics.library.sensor.android.LinearAcceleration
-
- getAllSensors() - Static method in class com.lasarobotics.library.sensor.android.Sensors
-
- getAngle() - Method in class com.lasarobotics.library.sensor.generic.IR
-
- getAverage() - Method in class com.lasarobotics.library.util.RollingAverage
-
- getCapacity() - Method in class com.lasarobotics.library.util.RollingAverage
-
- getClockValue(String) - Method in class com.lasarobotics.library.util.Timers
-
Get clock value.
- getClockValue(String, TimeUnit) - Method in class com.lasarobotics.library.util.Timers
-
Get clock value with precision in a given time unit
- getContext() - Static method in class com.lasarobotics.library.android.Util
-
- getDataDirectory(Context) - Static method in class com.lasarobotics.library.android.Util
-
- getDCIMDirectory() - Static method in class com.lasarobotics.library.android.Util
-
- getDeltasGamepad1() - Method in class com.lasarobotics.library.monkeyc.MonkeyData
-
- getDeltasGamepad2() - Method in class com.lasarobotics.library.monkeyc.MonkeyData
-
- getDistance() - Method in class com.lasarobotics.library.sensor.modernrobotics.OpticalDistance
-
Gets an approximate distance from the object in centimeters
Formula based on empirical measurements in 2700K lighting at room temperature with a white semi-reflective object perpendicular to the beam
Please note that these values are only SOMEWHAT ACCURATE between 0.5 and 5 cm!
- getFilename() - Method in class com.lasarobotics.library.monkeyc.MonkeyDo
-
- getHeading() - Method in class com.lasarobotics.library.sensor.legacy.hitechnic.Gyroscope
-
Gets the gyroscope heading in degrees, between 0 and 360
- getLightDetected() - Method in class com.lasarobotics.library.sensor.modernrobotics.OpticalDistance
-
Gets the raw light reflected as a decimal
- getNextCommand() - Method in class com.lasarobotics.library.monkeyc.MonkeyDo
-
- getOffset() - Method in class com.lasarobotics.library.sensor.legacy.hitechnic.Gyroscope
-
Gets the gyroscope offset, in degrees per second.
- getPrecision() - Method in class com.lasarobotics.library.util.Timers
-
Gets the precision in milliseconds
- getRate() - Method in class com.lasarobotics.library.sensor.legacy.hitechnic.Gyroscope
-
Gets the gyroscope rotation rate in degrees per second
- getRotation() - Method in class com.lasarobotics.library.sensor.legacy.hitechnic.Gyroscope
-
Gets the gyroscope rotation in degrees
- getSensor(int) - Static method in class com.lasarobotics.library.sensor.android.Sensors
-
- getSensors() - Method in class com.lasarobotics.library.sensor.generic.IR
-
- getSize() - Method in class com.lasarobotics.library.util.RollingAverage
-
- getState() - Method in class com.lasarobotics.library.sensor.legacy.lego.Touch
-
Gets the ButtonState instance of this button
- getState() - Method in class com.lasarobotics.library.sensor.modernrobotics.Touch
-
Gets the ButtonState instance of this button
- getStrength() - Method in class com.lasarobotics.library.sensor.generic.IR
-
- getTable() - Method in class com.lasarobotics.library.util.LookupTable
-
Gets the underlying Hashtable instance.
- getTime() - Method in class com.lasarobotics.library.monkeyc.MonkeyData
-
- getTimeDifference() - Method in class com.lasarobotics.library.sensor.legacy.hitechnic.Gyroscope
-
Gets the time difference between the last readings.
- getTotal() - Method in class com.lasarobotics.library.util.RollingAverage
-
- getValue(String) - Method in class com.lasarobotics.library.util.LookupTable
-
Get the value of an id in the LUT.
- getVoltage() - Method in class com.lasarobotics.library.sensor.modernrobotics.Voltage
-
- getVoltageInstantaneous() - Method in class com.lasarobotics.library.sensor.modernrobotics.Voltage
-
- getWorkingDirectory() - Static method in class com.lasarobotics.library.android.Util
-
- guide - Variable in class com.lasarobotics.library.controller.Controller
-
- Gyroscope - Class in com.lasarobotics.library.sensor.legacy.hitechnic
-
Implements additional Gyroscopic control methods and events
- Gyroscope(GyroSensor) - Constructor for class com.lasarobotics.library.sensor.legacy.hitechnic.Gyroscope
-


---
layout: post
title: muting/unmuting audio on screen lock/unlock in gnome
date: '2007-05-31T11:42:00.000+02:00'
author: Steven Van Acker
tags:
modified_time: '2008-01-18T10:49:05.131+01:00'
blogger_id: tag:blogger.com,1999:blog-5513234137363262204.post-3483124480446598025
blogger_orig_url: http://www.singularity.be/2007/05/mutingunmuting-audio-on-screen.html
---
I constantly listen to an online radio at work. Not because I like the music, but because it's a handy way to detect network problems.
Whenever I leave my desk, I lock my screen. And when I come back later, the volume of my speakers is turned down most of the time. My colleague doesn't like the music either ;)
What I want to do, is mute the audio when my screen is locked (because I won't be there anyway), and unmute it when it's unlocked.
There seems to be no way to call a script when the screensaver is activated, but the gnome-screensaver sends an event to DBUS which I can catch.
More information on this in the Gnome FAQ. I need to get my hands on "dbus-monitor" :)


PHOENIX COMPUTERS optimizes and keep up-to-date your computers and laptops other IT hardware for today’s fast changing technology.
PHOENIX COMPUTERS provides professional IT, Computers Services, Laptop Repair in Hyderabad both inbound and onsite Reparing in Hyderabad and surrounding areas.
We have 10 years’ experience in computer repair business, we at Phoenix Computers pride ourselves in offering the excellent customer service in the industry all the time.
PROFESSIONAL REPAIR-Our skilled and professionally trained technicians repair hundreds of makes and models.
FREE DIAGNOSTICS-We Provide laptop and PC fault diagnostics check is totally FREE!..
ONLINE HELP-Our online technology experts provide professional services with years of online service experience. the capital of Kodagu(Coorg).
Dell is an American multinational computer technology company based in Round Rock.
Lenovo is a Chinese multinational technology company with headquarters in Beijing.
The Hewlett-Packard Company (commonly referred to as HP.


D-Day Veteran Given Standing Ovation From Queen And Donald Trump Turns 100
John Jenkins served as a Platoon Sergeant with the Pioneer Corps during World War Two.
John Jenkins looks through birthday cards on his 100th birthday (Picture: PA).
A D-Day veteran who took part in a secret reconnaissance mission to check out the Normandy beaches for the Allied forces is celebrating his 100th birthday.
John Jenkins is marking his centenary with his family in his home city of Portsmouth.
Earlier this year, he received a standing ovation from the Queen and US President Donald Trump when he addressed heads of state during the D-Day 75 commemorations on Southsea Common.
Describing being the centre of attention, Mr Jenkins said: "I've never been a nervous sort of person when faced by people of a higher rank because they are only human beings the same as I am."
Despite reaching a century, Mr Jenkins said he does not "feel any different".
"I think to myself 'how did I get here?' but there it is, time creeps up on you and before you know it you're in your 100th year, which is amazing really," he said.
Mr Jenkins was awarded an MBE for his role as a Company Sergeant Major in the Territorial Army after the war.
He said keeping fit is the secret to reaching 100.
"I've always been a keen keep-fit chap, I always used to like PT at school," he said.
"I became a physical training instructor in the Army, I also used to do a lot of amateur wrestling in my younger days so that kept me pretty fit."
Mr Jenkins, who said football is a "big part" of his life, also keeps active through his role as boardroom steward at Portsmouth FC and as a volunteer at the D-Day Story museum.
After leaving school, he became a bellboy for the Cunard cruise line in 1933 before he attempted to join the Royal Navy but was turned down because of his eyesight.
He went on to join the Hampshire Regiment of the Army before moving to the Pioneer Corps, in which he served as a Platoon Sergeant during the Second World War.
For his role in D-Day, Mr Jenkins was awarded the Legion d'Honneur - France's highest honour.
Mr Jenkins said: "It's something you never forget. I landed on Gold Beach, someone said to me 'what did it feel like?' and I said 'it was terrifying', it was the only word I could think of at the time."
His granddaughter, Alison Baynes, explained Mr Jenkins had also been involved in a secret mission to carry out a reconnaissance trip to the Normandy beaches ahead of the landings to take sand samples to select the appropriate landing sites.
She said: "He was told to keep it a secret so he hadn't told anyone about it, not even his wife."
Mr Jenkins went on to become a trolley bus driver after the war before working as a crane operator at Portsmouth Naval Base.
He was married to Peggy and has one daughter, two granddaughters, five great-grandchildren and a great-great-grandson.
In 2015, he became the oldest man to abseil down Portsmouth's Spinnaker Tower at the age of 95 and in 2012, he even carried the Olympic torch.
In recent years, Mr Jenkins' volunteer work has been recognised.
He was awarded Portsmouth Volunteer of the Year in 2016 and National Museum and Heritage Volunteer of the Year 2019.
Mrs Baynes described her grandfather as a "remarkable man" who is "fiercely independent and a real inspiration".


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Look up your name in the guest list
Who will be attending the wedding?
Will you join us for Mother's Day brunch the day after the wedding at Adele's (May 13th)?
Will you join us for dinner the day after the wedding at City Winery (May 13th)?
Would you like to join us for welcome drinks the day before the wedding at Sinema (May 11th)?


knitr::opts_chunk$set(echo = TRUE, warning = FALSE)
Let’s load the data prepared in the previous section and proceed with preparation for analysis.
library(tidyverse)
fhb_dat <- read.csv("data/fhb_data_new.csv") %>%
group_by(trial)
Let’s now fit a regression model for each study with variable number of pairs of observations, but splitting the dataset according to the baseline yield, which will give 19 and 18 trials in each condition.
library(broom)
high_lm <- fhb_dat %>%
filter(yield_class != "low") %>%
group_by(trial) %>%
do(tidy(lm(.$yield ~ .$sev), conf.int = TRUE)) %>%
select(c(1:3)) %>%
spread(term, estimate)
high_lm1 <- data.frame(high_lm)
colnames(high_lm1) <- c("trial", "intercept", "slope")
summary(high_lm1)
## trial intercept slope
## Min. : 1.00 Min. :-220.18 Min. :3000
## 1st Qu.: 6.50 1st Qu.: -75.40 1st Qu.:4124
## Median :17.50 Median : -53.35 Median :4433
## Mean :16.44 Mean : -60.86 Mean :4473
## 3rd Qu.:21.75 3rd Qu.: -18.57 3rd Qu.:4952
## Max. :37.00 Max. : 52.88 Max. :6097
low_lm <- fhb_dat %>%
filter(yield_class != "high") %>%
group_by(trial) %>%
do(tidy(lm(.$yield ~ .$sev), conf.int = TRUE)) %>%
select(c(1:3)) %>%
spread(term, estimate)
low_lm1 <- data.frame(low_lm)
colnames(low_lm1) <- c("trial", "intercept", "slope")
head(low_lm1)
summary(low_lm1)
## trial intercept slope
## Min. : 6.00 Min. :-381.87 Min. :1708
## 1st Qu.:11.00 1st Qu.: -82.11 1st Qu.:2579
## Median :24.00 Median : -54.02 Median :3102
## Mean :21.42 Mean : -71.76 Mean :2977
## 3rd Qu.:30.50 3rd Qu.: -17.10 3rd Qu.:3391
## Max. :35.00 Max. : 43.48 Max. :4299
We will use the lmer
function of the lme4
to fit three different kinds of mixed models: random intercepts and slopes, random intercepts only and random slopes only. We also included baseline yield categorical variable in the model to check whether variance could be reduced, thus explaining portion of the variation in the slopes or intercepts.
library(lme4)
# null model
mix_yld <- lmer(yield ~ 1 + (1 | trial), data = fhb_dat, REML = F)
# random intercept and slopes
mix_yld1 <- lmer(yield ~ sev + (sev | trial), data = fhb_dat, REML = F)
# random slopes
mix_yld2 <- lmer(yield ~ sev + (1 | sev), data = fhb_dat, REML = F)
# random intercepts
mix_yld3 <- lmer(yield ~ sev + (1 | trial), data = fhb_dat, REML = F)
Here we can check which model best fitted the data based on the lowest AIC, which was the one with both intercepts and slopes as random effects.
AIC(mix_yld, mix_yld1, mix_yld2, mix_yld3)
Let’s include an interaction term and test whether variance was significantly reduced based on likelihood ratio test.
mix_yld4 <- lmer(yield ~ sev * yield_class + (sev | trial), data = fhb_dat, REML = F)
anova(mix_yld1, mix_yld4, test = "Chisq")
summary(mix_yld4)
## Linear mixed model fit by maximum likelihood ['lmerMod']
## Formula: yield ~ sev * yield_class + (sev | trial)
## Data: fhb_dat
##
## AIC BIC logLik deviance df.resid
## 4595.1 4625.2 -2289.5 4579.1 309
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.1436 -0.3431 0.0492 0.4179 3.9299
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## trial (Intercept) 372287 610.2
## sev 1129 33.6 0.02
## Residual 57284 239.3
## Number of obs: 317, groups: trial, 37
##
## Fixed effects:
## Estimate Std. Error t value
## (Intercept) 4419.504 148.390 29.783
## sev -46.316 9.604 -4.823
## yield_classlow -1535.949 209.460 -7.333
## sev:yield_classlow -3.475 14.309 -0.243
##
## Correlation of Fixed Effects:
## (Intr) sev yld_cl
## sev -0.087
## yild_clsslw -0.708 0.062
## sv:yld_clss 0.059 -0.671 -0.120
## convergence code: 0
## Model failed to converge with max|grad| = 0.0056379 (tol = 0.002, component 1)
library(emmeans)
CLD(emmeans(mix_yld4, ~ sev * yield_class))
Extract the random coefficients (BLUES).
blup <- coef(mix_yld1)$trial
colnames(blup) <- c("Intercept", "Slope")
summary(blup)
## Intercept Slope
## Min. :1620 Min. :-112.534
## 1st Qu.:2998 1st Qu.: -59.085
## Median :3560 Median : -52.881
## Mean :3645 Mean : -49.068
## 3rd Qu.:4277 3rd Qu.: -23.605
## Max. :5786 Max. : -4.544
Calculate the interdecile range for the BLUEs of the slopes and intercepts
# Intercept
dec90_i <- quantile(blup$Intercept, probs = c(.9))
dec10_i <- quantile(blup$Intercept, probs = c(.1))
dec90_i - dec10_i
## 90%
## 2470.569
# Slopes
dec90_s <- quantile(blup$Slope, probs = c(.9))
dec10_s <- quantile(blup$Slope, probs = c(.1))
dec90_s - dec10_s
## 90%
## 76.80005


I am a Senior at Brockton Highschool, I am a part of the TV club and enjoy filming, film editing, and acting. In my spare time I like making and editing my own videos. After highschool I plan to go to college and major in Digital Arts and eventually get a job within the fields of either TV or movie production.


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Short text here is.
Some long text that could become shorter shorter shorter shorter shorter shorter shorter shorter.


Feedback from Faith: This can wait until after the Alma migration
Ok, thanks!
referenced
by Christina Chortaria at 2021-03-24 12:36:03.merged
by Christina Chortaria at 2021-03-24 12:36:03.closed
by Christina Chortaria at 2021-03-24 12:36:03.head_ref_deleted
by Christina Chortaria at 2021-03-24 12:36:04.I deleted the previous screenshots. I'm adding new ones: Search results with scsb
Advanced search with scsb locations:
advanced search result for scsbcul and nypl
Record page of scsb. This is a long one. compare to https://catalog.princeton.edu/catalog/SCSB-8157262
convert_to_draft
by Christina Chortaria at 2021-03-23 22:14:04.ready_for_review
by Christina Chortaria at 2021-03-24 12:19:55.head_ref_force_pushed
by Christina Chortaria at 2021-03-24 14:05:06.referenced
by None at 2021-03-24 14:22:31.merged
by None at 2021-03-24 14:22:31.closed
by None at 2021-03-24 14:22:31.head_ref_deleted
by None at 2021-03-24 14:22:32.deployed
by Trey Pendragon at 2021-03-24 15:00:08.closed by #1157
referenced
by None at 2021-03-24 14:22:32.closed
by Christina Chortaria at 2021-03-24 16:29:23.unassigned
by Christina Chortaria at 2021-03-24 18:47:13.assigned
by Hector Correa at 2021-03-24 18:47:21.@mzelesky I updated the description of this ticket. Can you confirm that it looks right for the new plan?
mentioned
by None at 2021-03-24 19:04:10.subscribed
by None at 2021-03-24 19:04:10.labeled
by Christina Chortaria at 2021-03-24 14:14:10.assigned
by Christina Chortaria at 2021-03-24 14:14:10.assigned
by Hector Correa at 2021-03-24 18:34:36.compare to https://catalog.princeton.edu/catalog/SCSB-8157262
Princeton record. Compare to https://catalog.princeton.edu/catalog/857469
head_ref_force_pushed
by Christina Chortaria at 2021-03-24 17:08:42.renamed
by Christina Chortaria at 2021-03-24 19:05:57.head_ref_force_pushed
by Christina Chortaria at 2021-03-24 22:05:42.head_ref_force_pushed
by Christina Chortaria at 2021-03-24 22:32:26.ready_for_review
by Christina Chortaria at 2021-03-24 22:34:32.labeled
by Kevin McElwee at 2021-03-24 21:29:13.There were EphemeraTerms without labels again, similar to https://github.com/pulibrary/figgy/issues/4404. I ran the same cleanup command.
closed
by Trey Pendragon at 2021-03-24 01:32:14.update: it is not all the subjects. "History" and "Politics and government", throw up the error. the remaining others do not.
This turned out to be the same as https://github.com/pulibrary/figgy/issues/4404. I cleaned it up and it seems fine now - maybe @cwulfman has some info on a bulk ingest or something that might have created empty terms?
@tpendragon is right: an ingest of some ephemera introduced some mal-formed subjects. Shouldn't happen again for this batch. @tpendragon, could you detail what you did to clean it up?
I ran the same code as in #4404
csp = ScannedResourcesController.change_set_persister
terms = csp.query_service.find_all_of_model(model: EphemeraTerm).select{|x| x.label.blank?}
terms.each do |term|
change_set = ChangeSet.for(term)
csp.delete(change_set: change_set)
end
labeled
by Kim Leaman at 2021-03-23 22:43:35.labeled
by Kim Leaman at 2021-03-23 22:43:35.closed
by Trey Pendragon at 2021-03-24 01:32:46.mentioned
by Cliff Wulfman at 2021-03-24 01:32:47.subscribed
by Cliff Wulfman at 2021-03-24 01:32:47.reopened
by Cliff Wulfman at 2021-03-24 12:22:31.mentioned
by Trey Pendragon at 2021-03-24 12:22:31.subscribed
by Trey Pendragon at 2021-03-24 12:22:31.closed
by Cliff Wulfman at 2021-03-24 15:35:55.head_ref_force_pushed
by Cliff Wulfman at 2021-03-24 14:25:35.review_requested
by Cliff Wulfman at 2021-03-24 15:33:03.head_ref_force_pushed
by Cliff Wulfman at 2021-03-24 17:06:52.referenced
by Esmé Cowles at 2021-03-24 17:29:13.merged
by Esmé Cowles at 2021-03-24 17:29:13.closed
by Esmé Cowles at 2021-03-24 17:29:13.head_ref_deleted
by Esmé Cowles at 2021-03-24 17:29:14.review_requested
by Cliff Wulfman at 2021-03-24 21:15:26.fixed by #103
closed
by None at 2021-03-24 11:55:42.referenced
by James R. Griffin III at 2021-03-24 19:02:55.merged
by James R. Griffin III at 2021-03-24 19:02:55.closed
by James R. Griffin III at 2021-03-24 19:02:55.head_ref_deleted
by James R. Griffin III at 2021-03-24 19:02:58.head_ref_force_pushed
by Trey Pendragon at 2021-03-24 20:21:34.Coverage remained the same at 96.613% when pulling 9bfae7c71a7abcee5333a3dc7d42bdc5c3a7dba2 on marquandstackmaplabel into 7e1295f6d447e03163bc21b46ce01d95aaab05b4 on main.
deployed
by Trey Pendragon at 2021-03-24 12:37:11.ready_for_review
by Kevin Reiss at 2021-03-24 12:44:27.review_requested
by Kevin Reiss at 2021-03-24 12:44:31.head_ref_force_pushed
by Kevin Reiss at 2021-03-24 13:23:04.referenced
by None at 2021-03-24 14:13:42.merged
by None at 2021-03-24 14:13:42.closed
by None at 2021-03-24 14:13:42.head_ref_deleted
by None at 2021-03-24 14:13:43.closed
by None at 2021-03-24 18:45:47.labeled
by None at 2021-03-24 18:58:20.We've decided to continue this implementation, replacing the "renew" check boxes with a button next to each loan so that only one renewal can be performed at a time. The API doesn't support multiple renewals and keeping the check boxes would require us to throttle the api calls to avoid the concurrency limit.
unlabeled
by None at 2021-03-24 20:51:28.transferred
by Kate Lynch at 2021-03-24 12:58:18.head_ref_force_pushed
by Francis Kayiwa at 2021-03-24 13:11:12.@tpendragon Looks like this is still an issue. Example a search for Woodrow Wilson 310 results in pulfa https://pulfa.princeton.edu/?v1=woodrow%20wilson&f1=kw&b1=AND&v2=&f2=kw&b2=AND&v3=&f3=kw&year=before&ed=&ld=&rpp=10&start=0&has-digital-content=true 270 results in plight https://findingaids.princeton.edu/?utf8=%E2%9C%93&group=true&search_field=all_fields&q=woodrow+wilson
reopened
by Christa Cleeton at 2021-03-24 12:07:14.mentioned
by Trey Pendragon at 2021-03-24 12:07:14.subscribed
by Trey Pendragon at 2021-03-24 12:07:14.labeled
by None at 2021-03-24 15:25:03.milestoned
by None at 2021-03-24 15:25:03.


Sepsis Symptoms
There are three stages of sepsis: sepsis, severe sepsis, and septic shock. Sepsis can happen while you’re still in the hospital recovering from a procedure, but this isn’t always the case.
It’s important to seek immediate medical attention if you have any of the below symptoms. The earlier you seek treatment, the greater your chances of survival.
Sepsis
Symptoms of sepsis include:
1. A fever above 101ºF (38ºC) or a temperature below 96.8ºF (36ºC)
2. Heart rate higher than 90 beats per minute
3. Breathing rate higher than 20 breaths per minute
4. Probable or confirmed infection
5. You must have two of these symptoms before a doctor can diagnose sepsis.
Severe sepsis
Sepsis occurs when there’s organ failure. You must have one or more of the following signs to be diagnosed with severe sepsis:
1. Patches of discolored skin
2. Decreased urination
3. Changes in mental ability
4. Low platelet (blood clotting cells) count
5. Problems breathing
6. Abnormal heart functions
7. Chills due to fall in body temperature
8. Unconsciousness
9. Extreme weakness
Septic shock
Symptoms of septic shock include the symptoms of:
1. Severe sepsis, plus a very low blood pressure.


--- layout: post title: RightMessage | Ask the right questions, pitch the perfect offer date: '2019-10-08T19:06:00.000+05:30' author: Sahil Rajput tags: modified_time: '2019-10-08T19:07:10.423+05:30' blogger_id: tag:blogger.com,1999:blog-5250005448924290719.post-7481237681163350245 blogger_orig_url: https://www.jaadujinn.ml/2019/10/rightmessage-ask-right-questions-pitch.html ---


elixush v0.0.4 Elixush.Instructions.IO
Summary
Functions
Allows Push to handle inN instructions, e.g. in2, using things from the input stack. We can tell whether a particular inN instruction is valid if N-1 values are on the input stack. Recognizes vectors, simple literals and quoted code
Functions
Allows Push to handle inN instructions, e.g. in2, using things from the input stack. We can tell whether a particular inN instruction is valid if N-1 values are on the input stack. Recognizes vectors, simple literals and quoted code.


--- layout: post title: Eraser on the Drafting Table date: 2012-07-15 23:20:56.000000000 -07:00 type: post published: true status: publish categories: tags: - linkedin meta: _edit_last: '1' author: login: admin email<EMAIL_ADDRESS>display_name: admin first_name: Carina C. last_name: Zon ---
"Once you’ve made a design, it gets harder to change, so it’s best to test early and test often. As each test only takes a few minutes to set up and run, it’s something you can easily build into your timeline to complete projects on time. Remember the old saying from Frank Lloyd Wright, 'You can use an eraser on the drafting table or a sledgehammer on the construction site'"
It's a good article. You should go read the rest.


Since factory methods can create objects of any type, such replacement can be especially useful when a new instance of the containing class is not desired.
E.g. when current class is extended and objects of subclasses should be created instead. Or when caching is introduced and existing objects should be returned.


Before Change
path = []
for iteration in range(len(input_sets) - 1):
iteration_results = []
comb_iter = zip(*np.triu_indices(len(input_sets), 1))
for positions in comb_iter:
contract = _find_contraction(positions, input_sets, output_set)
idx_result, new_input_sets, idx_removed, idx_contract = contract
After Change
for iteration in range(len(input_sets) - 1):
iteration_results = []
comb_iter = []
for x in range(len(input_sets)):
for y in range(x + 1, len(input_sets)):
comb_iter.append((x,y))
for positions in comb_iter:


Lidia's Diary:
The eighth day of the month of Shilen.
The comet burns brighter than ever! I hope it's not true what they say about bad things always happening in the month of Shilen!
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Command line interface¶
Introduction¶
BEEP provides a command line interface for easier usage of the BEEP pipeline.
There are five main steps to the BEEP pipeline:
- Collation: logically organize your data from various battery cycler machines and experiments
- Validation: check that BEEP will be able to run on your data
- Structuring: convert cycler outputs into a minimal, universal format
- Featurization: adding features for machine learning
- Run model: run a machine learning model to predict battery lifetimes.
Each command accepts a JSON string as input in order to provide flexibility and better automation.
collate
: standardize filenames among many cyclers/runs¶
The collate
script takes no input, and operates by assuming the BEEP_PROCESSING_DIR (default /
)
has subdirectories /data-share/raw_cycler_files
and data-share/renamed_cycler_files/FastCharge
.
The script moves files from the /data-share/raw_cycler_files
directory, parses the metadata,
and renames them according to a combination of protocol, channel number, and date, placing them in
/data-share/renamed_cycler_files
.
The script output is a json string that contains the following fields:
fid
- The file id used internally for renamingfilename
- full paths for raw cycler filenamesstrname
- the string name associated with the file (i. e. scrubbed ofcsv
)file_list
- full paths for the new, renamed, cycler filesprotocol
- the cycling protocol corresponding to each filechannel_no
- the channel number corresponding to each filedate
- the date corresponding to each file
Example:
$ collate
{
"mode": "events_off",
"fid": [0,
1,
2],
"strname": ["2017-05-09_test-TC-contact",
"2017-08-14_8C-5per_3_47C",
"2017-12-04_4_65C-69per_6C"],
"file_list": ["/data-share/renamed_cycler_files/FastCharge/FastCharge_0_CH33.csv",
"/data-share/renamed_cycler_files/FastCharge/FastCharge_1_CH44.csv",
"/data-share/renamed_cycler_files/FastCharge/FastCharge_2_CH29.csv"],
"protocol": [null,
"8C(5%)-3.47C",
"4.65C(69%)-6C"],
"date": ["2017-05-09",
"2017-08-14",
"2017-12-04"],
"channel_no": ["CH33",
"CH44",
"CH29"],
"filename": ["/data-share/raw_cycler_files/2017-05-09_test-TC-contact_CH33.csv",
"/data-share/raw_cycler_files/2017-08-14_8C-5per_3_47C_CH44.csv",
"/data-share/raw_cycler_files/2017-12-04_4_65C-69per_6C_CH29.csv"]
}
validate
: ensure your data is valid¶
The validation script, validate
, runs the validation procedure contained
in beep.validate
on renamed files according to the output of rename
above.
It also updates a general json validation record in /data-share/validation/validation.json
.
The input json must contain the following fields
file_list
- the list of filenames to be validatedmode
- mode for events i.e. 'test' or 'run'run_list
- list of run_ids for each of the files, used by the database for linking data
The output json will have the following fields:
validity
- a list of validation results, e. g.["valid", "valid", "invalid"]
file_list
- a list of full path filenames which have been processed
Example:
$ validate '{
"mode": "events_off",
"run_list": [1, 20, 34],
"strname": ["2017-05-09_test-TC-contact",
"2017-08-14_8C-5per_3_47C",
"2017-12-04_4_65C-69per_6C"],
"file_list": ["/data-share/renamed_cycler_files/FastCharge/FastCharge_0_CH33.csv",
"/data-share/renamed_cycler_files/FastCharge/FastCharge_1_CH44.csv",
"/data-share/renamed_cycler_files/FastCharge/FastCharge_2_CH29.csv"],
"protocol": [null,
"8C(5%)-3.47C",
"4.65C(69%)-6C"],
"date": ["2017-05-09",
"2017-08-14",
"2017-12-04"],
"channel_no": ["CH33",
"CH44",
"CH29"],
"filename": ["/data-share/raw_cycler_files/2017-05-09_test-TC-contact_CH33.csv",
"/data-share/raw_cycler_files/2017-08-14_8C-5per_3_47C_CH44.csv",
"/data-share/raw_cycler_files/2017-12-04_4_65C-69per_6C_CH29.csv"]
}'
{"validity": ["invalid",
"invalid",
"valid"],
"file_list": ["/data-share/renamed_cycler_files/FastCharge/FastCharge_0_CH33.csv",
"/data-share/renamed_cycler_files/FastCharge/FastCharge_1_CH44.csv",
"/data-share/renamed_cycler_files/FastCharge/FastCharge_2_CH29.csv"],
}
structure
: convert cycler data to universal formats¶
The structure
script will run the data structuring on specified filenames corresponding
to validated raw cycler files. It places the structured datafiles in /data-share/structure
.
The input json must contain the following fields:
* file_list
- a list of full path filenames which have been processed
* validity
- a list of boolean validation results, e. g. [True, True, False]
* mode
- mode for events i.e. 'test' or 'run'
* run_list
- list of run_ids for each of the files, used by the database for linking data
The output json contains the following fields:
invalid_file_list
- a list of invalid files according to the validityfile_list
- a list of files which have been structured into processed_cycler_runs
Example:
$ structure '{
"mode": "events_off",
"run_list": [1, 20, 34],
"validity": ["invalid", "invalid", "valid"],
"file_list": ["/data-share/renamed_cycler_files/FastCharge/FastCharge_0_CH33.csv",
"/data-share/renamed_cycler_files/FastCharge/FastCharge_1_CH44.csv",
"/data-share/renamed_cycler_files/FastCharge/FastCharge_2_CH29.csv"]}'
{
"invalid_file_list": ["/data-share/renamed_cycler_files/FastCharge/FastCharge_0_CH33.csv",
"/data-share/renamed_cycler_files/FastCharge/FastCharge_1_CH44.csv"],
"file_list": ["/data-share/structure/FastCharge_2_CH29_structure.json"],
}
featurize
: add features for machine learning¶
The featurize
script will generate features according to the methods
contained in beep.generate_features. It places output files corresponding to
features in /data-share/features/
.
The input json must contain the following fields
file_list
- a list of processed cycler runs for which to generate featuresmode
- mode for events i.e. 'test' or 'run'run_list
- list of run_ids for each of the files, used by the database for linking data
The output json file will contain the following:
file_list
- a list of filenames corresponding to the locations of the features
Example:
$ featurize '{
"mode": "events_off",
"run_list": [1, 20, 34],
"invalid_file_list": ["/data-share/renamed_cycler_files/FastCharge/FastCharge_0_CH33.csv",
"/data-share/renamed_cycler_files/FastCharge/FastCharge_1_CH44.csv"],
"file_list": ["/data-share/structure/FastCharge_2_CH29_structure.json"]
}'
{
"file_list": ["/data-share/features/FastCharge_2_CH29_full_model_features.json"]}
run_model
: run a machine learning model¶
The run_model
script will generate a model and create predictions
based on the features previously generated by the generate_features.
It stores its outputs in /data-share/predictions/
The input json must contain the following fields
* file_list
- list of files corresponding to model features
* mode
- mode for events i.e. 'test' or 'run'
* run_list
- list of run_ids for each of the files, used by the database for linking data
The output json will contain the following fields
* file_list
- list of files corresponding to model predictions
Example:
$ run_model '{
"mode": "events_off",
"run_list": [34],
"file_list": ["/data-share/features/FastCharge_2_CH29_full_model_features.json"]
}'
{
"file_list": ["/data-share/predictions/FastCharge_2_CH29_full_model_predictions.json"],
}


The text on the bottom is a nice touch.
This is how you JQuery
Some great stock photos.
Thanks for click'n.


The app takes the users date of birth and gender via the HTML form below. It then calculates the weekday and gives the user his or her Akan name depending on there gender. Akan names are derived from Ghanian culture. Frequently in Ghana, children are given their first name as a 'day name' which corresponds to the day in the week they were born. Below are ghanian day names.
Try filling in your birth date and gender in the form below to know your Akan Name. Have fun by filling in some of your friends birthdays also.


Eve Leatherland has been kept in deep freeze since October, 2017 when she was beaten, poisoned and left to die aged just 22 months by her mother and step father.
She suffered two skull fractures, 12 rib fractures and eventually died after being given a fatal dose of codeine in an attempt to cover up her injuries.
Mother Abigail Leatherland, 26, and her former partner Tom Curd, 31, were jailed in March after a Truro Crown Court heard they browsed Facebook and played video games as Eve lay dying.
Leatherland was sentenced to three-and-a-half years in prison for allowing or causing Eve to die, while Curd was ordered to serve life with a minimum of 20 years for murder.
The inquest this week at Plymouth Coroners’ Court heard legal wrangling involving Eve’s alleged biological father Dean Bird had meant she had still not had a funeral.
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Mr Bird is not named on Eve’s birth certificate and her body will only be released when the courts determine who is next of kin.
Senior Coroner Ian Arrow told the inquest that Mr Bird had been informed in September last year to go to court to confirm he is Eve’s natural father.
Mr Arrow finished his statement by highlighting that funding was available to ensure bereaved parents did not have to pay for the cost of their child’s burial or cremation.
Speaking after the inquest, Mr Arrow said that it was ‘disgraceful’ the baby’s body had still to be released, more than two years since she died.
Mr Arrow said: ‘[There] still needs to be a funeral for poor Eve. I will hope that Eve has a funeral in the near future
The inquest heard that Leatherland and Curd phoned an ambulance for Eve saying she had become ‘unresponsive and floppy’ at home in Liskeard, Cornwall.
 She was taken to Derriford Hospital in Plymouth where she died.
At first Eve’s death was not treated as suspicious with bruising believed to be caused by efforts to resuscitate her.
A subsequent x-ray revealed a fractured skull and a post-mortem investigation at Great Ormond Street Hospital in London concluded that ‘no natural cause of death could be ascertained’, Mr Arrow said.
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Mr Arrow told the inquest that Eve died from a ‘fatal concentration’ of the adult pain-killer codeine which should never be given to children, he said, and her multiple injuries.
She also had an amount of paracetamol in her system which was ‘above therapeutic levels’.
Got a story for Metro.co.uk?
Get in touch with our news team by emailing us at<EMAIL_ADDRESS>For more stories like this, check our news page.


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We believe that open data are a treasure trove of knowledge that has not been entirely used yet, and require ecologists to get curious about tools and practices from the field of data science. We explore applications of machine learning and deep learning to biodiversity.
We are working on understanding the type of problems that we can solve without having to do new sampling, and how to handle errors and uncertainty.
As a bonus, we use the tools we develop to improve the monitoring and reporting abilities of various stakeholders. One of our key question related to this topic at the moment is to examine the “suitability” of existing data to address a given question. We work on measures to identify areas in which information is low, which should be sampled with a higher priority.


Youngest MP in Malaysia in the crosshairs of power play in Anwar’s party
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The youngest Member of Parliament in Malaysia, independent Batu representative P Prabakaran seems to be in the crosshairs of people fighting in a power struggle in Anwar Ibrahim’s party.
The PKR is undergoing upheaval with some MPs and ministers canvassing against Anwar in his bid to become the next PM of Malaysia.
A columnist in Free Malaysia Today, Dennis Ignatius a former Malaysian ambassador said that mischief is brewing in the Batu parliamentary constituency with pressure mounting on P Prabakaran, to step down.
He reports that political observers in Malaysia linked this to an ongoing power struggle within the PKR.
Yesterday, Prime Minister Tun Dr Mahathir Mohamad referred to the struggle in the PKR, saying it is an internal matter and he would not comment on it.
Ignatius says trouble for Prabakaran began when the High Court ruled earlier this month that PKR vice-president Tian Chua was wrongfully denied the right to stand for election last year.
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After the party was denied the chance to defend the seat, PKR backed the young independent candidate with the support of Tian Chua.
“Now that Tian Chua is once again eligible to stand for election, however, his supporters are demanding that Prabakaran step down to make way for him,” writes Ignatius.
Tian Chua was one of the signatories of a letter of support from the PKR to Azmin Ali after Anwar had said if the police had evidence the person in a gay-sex video that went viral in June was the latter, Azmin should quit.
Reports suggest the nomination of the replacement to Dr Mahathir in the near future might be rigged with claims from other parties to have a majority in Parliament.
Every single vote from the Pakatan will be important, given the rumours that Azmin has more than 15 to 20 MPs on his side.
The PKR has 52 MPs in Parliament. There has been no suggestion as to who the youngest MP may vouch for. -/TISG
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