Platform Logging¶
The logging platform is made up of 2 components - Fluentd and Logger.
Fluentd runs on every worker node of the cluster and is deployed as a Daemon Set. The Fluentd pods capture all of the stderr and stdout streams of every container running on the host (even those not hosted directly by kubernetes). Once the log message arrives in our custom fluentd plugin we determine where the message originated.
If the message was from the Workflow Controller or from an application deployed via workflow we send it to the logs topic on the local NSQD instance.
If the message is from the Workflow Router we build an Influxdb compatible message and send it to the same NSQD instance but instead place the message on the metrics topic.
Logger then acts as a consumer reading messages off of the NSQ logs topic storing those messages in a local Redis instance. When a user wants to retrieve log entries using the deis logs
command we make an HTTP request from Controller to Logger which then fetches the appropriate data from Redis.
Configuring Off Cluster Redis¶
Even though we provide a redis instance with the default Workflow install, it is recommended that operators use a third-party source like Elasticache or similar offering. This way your data is durable across upgrades or outages. If you have a third-party Redis installation you would like to use all you need to do is set the following values in your helm chart:
- db = "0"
- host = "my.host.redis"
- port = "6379"
- password = ""
These can be changed by running helm inspect values deis/workflow > values.yaml
before using
helm install
to complete the installation. To customize the redis credentials, edit values.yaml
and modify the redis
section of the file to tune these settings.
Debugging Logger¶
If the deis logs
command encounters an error it will return the following message:
Error: There are currently no log messages. Please check the following things:
1) Logger and fluentd pods are running.
2) The application is writing logs to the logger component by checking that an entry in the ring buffer was created: kubectl --namespace=deis logs <logger pod>
3) Making sure that the container logs were mounted properly into the fluentd pod: kubectl --namespace=deis exec <fluentd pod> ls /var/log/containers
Architecture Diagram¶
┌────────┐
│ Router │ ┌────────┐ ┌─────┐
└────────┘ │ Logger │◀───▶│Redis│
│ └────────┘ └─────┘
Log file ▲
│ │
▼ │
┌────────┐ ┌─────────┐ logs/metrics ┌─────┐
│App Logs│──Log File──▶│ fluentd │───────topics─────▶│ NSQ │
└────────┘ └─────────┘ └─────┘
│
│
┌─────────────┐ │
│ HOST │ ▼
│ Telegraf │───┐ ┌────────┐
└─────────────┘ │ │Telegraf│
│ └────────┘
┌─────────────┐ │ │
│ HOST │ │ ┌───────────┐ │
│ Telegraf │───┼───▶│ InfluxDB │◀────Wire ───────────┘
└─────────────┘ │ └───────────┘ Protocol
│ ▲
┌─────────────┐ │ │
│ HOST │ │ ▼
│ Telegraf │───┘ ┌──────────┐
└─────────────┘ │ Grafana │
└──────────┘
Default Configuration¶
By default the Fluentd pod can be configured to talk to numerous syslog endpoints. So for example it is possible to have Fluentd send log messages to both the Logger component and Papertrail. This allows production deployments of Deis to satisfy stringent logging requirements such as offsite backups of log data.
Configuring Fluentd to talk to multiple syslog endpoints means modifying the Fluentd daemonset
manifest. This means you will need to fetch the chart with helm fetch deis/workflow --untar
, then
modify workflow/charts/fluentd/templates/logger-fluentd-daemon.yaml
with the following:
env:
- name: "SYSLOG_HOST_1"
value: "my.syslog.host"
- name: "SYSLOG_PORT_1"
value: "5144"
....
- name: "SYSLOG_HOST_N"
value: "my.syslog.host.n"
- name: "SYSLOG_PORT_N"
value: "51333"
If you only need to talk to 1 Syslog endpoint you can use the following configuration within your chart:
env:
- name: "SYSLOG_HOST"
value: "my.syslog.host"
- name: "SYSLOG_PORT"
value: "5144"
Then run helm install ./workflow --namespace deis
to install the modified chart.
Customizing:¶
We currently support logging information to Syslog, Elastic Search, and Sumo Logic. However, we will gladly accept pull requests that add support to other locations. For more information please visit the fluentd repository.
Custom Fluentd Plugins¶
That are many output plugins available for Fluentd. But, we purposefully do not ship our Fluentd image with these installed. Instead, we provide a mechanism that allows users to install a plugin at startup time of the container and configure it.
If you would like to install a plugin you can set an environment variable such as the following: FLUENTD_PLUGIN_N=some-fluentd-plugin
where N is a positive integer that is incremented for every plugin you wish to install. After you set this value you must then set the configuration text for the FILTER
or STORE
plugin you are installing. You can do that by setting CUSTOM_STORE_N=configuration text
where N is the corresponding index value of the plugin you just installed.
Here is an example of setting the values directly in the manifest of the daemonset.
env:
- name: "FLUENTD_PLUGIN_1"
value: "fluent-plugin-kafka"
- name: "CUSTOM_STORE_1"
value: |
<store>
@type kafka \
default_topic some_topic
</store>
Or you could configure it using the daemon_environment
key in the values.yaml
:
fluentd:
daemon_environment:
FLUENTD_PLUGIN_1: "fluent-plugin-kafka"
CUSTOM_STORE_1: "|\n <store>\n @type kafka\n default_topic some_topic\n </store>"
INSTALL_BUILD_TOOLS: "|\n true"
For more information please see the Custom Plugins section of the README.


Changing face of South Derbyshire towns and villages showcased in new book
Magic Attic publication features then and now images
by Jane GoddardEver wondered what the streets around where you live used to look like?
Well, if you live in South Derbyshire a new book could well have the answer.
“How Times Have Changed in South Derbyshire” is the latest publication from the Magic Attic Archive in Swadlincote.
It contains a series of vintage photographs taken from the Magic Attic database, alongside present day views taken in the same spot by volunteers.
Captions describe the images and also contain interesting historical information.
Alan Hiley, a Magic Attic volunteer, said: “Many of our more mature readers will recognise scenes from the past and the younger readers may find it hard to realise that this is how it was.
“Looking at the present-day photographs it shows a way of life that has gone forever.”
The book covers numerous villages in South Derbyshire and many of the newer images show just how much demolition of buildings has gone on in the intervening years.
Happily, some of the older buildings have survived the test of time.
The format is A5 landscape, extending to 161 pages, with black and white and colour photos.
Priced at £8.95, the book is on sale at the Magic Attic and Sharpes Pottery Museum.
See more Derby nostalgia on our Twitter and Facebook pages .


There are many patterns to implement record edition in web applications. We explore here Dialog based edition and Inline Record Edition.
Dialog based edition uses standard ZVC components and ZDialogs to edit a single row in a table.
Using custom cells we add icons to edit and delete a row. After edition an deletion, a refresh is needed because order of records (and pagination) could be affected.
Additionally, we added a button to navbar to add new Customer, using the same Dialog for new records and existing ones.


18 July 2018
To build an umu you need stones, wood, coconut shells, husk and food of course!
The wood and kindling husk is set alight and the stones become hot and food is then placed on top of the stones and covered with leaves.
Baskets are woven and when they are complete, the food should be cooked.
Food is placed with care in the baskets and distributed to neighbouring families in the village.
Boxifying design and the box model are a crucial part of the web page 'cooking' process.
To 'boxify a design' is to break a web design mock up down into smaller boxes. To do this you may:
These methods are great ways to break down what lays ahead for implementing the design.
The boxify process allows you to have a visual representation on the structure required to build the foundation of the website.
A great way to understand the layout of web pages is to get familiar with the 'box model'.
In Udacity Lesson 1, I learnt that EVERY element is a rectangular box made made up of a margin, border and padding around content.


I am a paragraph.
I am a paragraph and a sibling of the h2 tag
Well, so am I...
I seem to not be invited to the "active" party...


|
Class Summary |
| CommandRunner |
|
| FibonacciHeap |
A Fibonacci Heap, as described in Introduction to Algorithms by
Charles E. |
| GZIPUtils |
A collection of utility methods for working on GZIPed data. |
| LogFormatter |
Prints just the date and the log message. |
| NutchConf |
Provides access to Nutch configuration parameters. |
| PrefixStringMatcher |
A class for efficiently matching String s against a set
of prefixes. |
| ScoreStats |
When we generate a fetchlist, we need to choose a "cutoff"
score, such that any scores above that cutoff will be included
in the fetchlist. |
| SoftHashMap |
A Map which uses SoftReference s to keep track of values. |
| StringUtil |
A collection of String processing utility methods. |
| SuffixStringMatcher |
A class for efficiently matching String s against a set
of suffixes. |
| ThreadPool |
ThreadPool.java
ThreadPool maintains a large set of threads, which
can be dedicated to a certain task, and then recycled. |
| TrieStringMatcher |
TrieStringMatcher is a base class for simple tree-based string
matching. |


Chapter 2 Model Use and Develop
2.1 Basic Use of a complete MODELL
2.1.1 RUn a MODEL
The using of a MODEL will summarized as four steps:
- Get the InData & Param list by run
Data_MODEL.XXX
in R, the list of “Data_” is structured as:
- Prepare the data and transfer into EDHM form and confirm a parameter set.
Please must mark the time-variable and time-invariable VARIABLEs.
Please use Data_XXX$InData$GROUP$VARIABLE
check the VARIABLE structure, when the VARIABLE is not normal.
- Input the prepared data to InData and Param.
For the time-variable VARIBLE must put into “TimeVari”, some like “VARIABLE 1, 2” belong to “GROUP 1” and time-variable, “VARIABLE 3” belong to also “GROUP 1” but time-invariable. Then they will be structured as:
The code for this exemple like:
TimeVari <- t_vari.hm.list()
TimeVari$GROUP1$VARIABLE1 <- mydata1
TimeVari$GROUP1$VARIABLE2 <- mydata2
TimeVari$GROUP2$VARIABLE4 <- mydata3
TimeInVari <- hm.list()
TimeInVari$GROUP1$VARIABLE3 <- mydata4
Param <- list()
Param$Paramter1 <- myparam1
Param$Paramter2 <- myparam2
- Run the MODEL.
my_simu <- MODELL.XXX(TimeVari, TimeInVari, Param)
2.1.2 set a Run_MODEL
In EDHM the parameters are index with the parameters name, but when we calibrate the parameters, we set the parameters in a vector, also for some research not all of the parameters need to calibrate, so there is a setting about parameters from vector transfer to list.
There shows the function Run_MODEL.SERR
:
Run_Model.SERR <- function(TimeVariData, TimeInvariData, Param,
ParamterCalibrate){
## 1.0 snow##
Param$Max_Snow_T = ParamterCalibrate[1]
Param$Min_Snow_T = ParamterCalibrate[2]
Param$Factor_Day_degree = ParamterCalibrate[3] ## 2.7-12 [mm]
Param$Base_T = ParamterCalibrate[4] ## -2-5.5 [Cel]
## 1.1 ET ##
Param$CanopyCapacity = ParamterCalibrate[5]
Param$Coeff_ET_Capacity_Attenuat = ParamterCalibrate[6]
## 1.2 Runoff ##
Param$Threshold_Runoff = ParamterCalibrate[7]
Param$Ratio_Runoff = ParamterCalibrate[8]
Param$Ratio_GW_Storage = ParamterCalibrate[9]
Param$Coeff_GW_Storage_Attenuat = ParamterCalibrate[10]
## 1.3 Route ##
Param$UPPaList = ParamterCalibrate[11:17]
Result_ <- MODEL.SERR(TimeVariData, TimeInvariData, Param)
Result <- Result_$Route$StaFlow
return(Result)
}
The workflow is show in the following figure:
2.1.3 Evaluate
Usually bye EVALUTE evalute the simulation results, but when we kalibrate the parameters, the EVALUTE evalute actully the parameters, those need to calibrate, so the EVALUTE based on the Run_MODEL.
The data flow is show in the following figure:
The EVALUTE functions is very easy to code, and the R Package hydroGOF (Mauricio Zambrano-Bigiarini 2020) is also recommend, in that there are some commen evalute methods for hydrological field, some like NSE, KGE, mae and soon.
EVALUTE()
is a function in EDHM, by setting EVALUTE(..., fct_Evaluate = NSE)
set the evaluate method. The argument fct_Evaluate
require a function, so give it just the function name without the quotation marks into a charater.
2.1.4 Calibrate
The CALIBRATE help us choose the best parameter-set from a range, CALIBRATE will by the goodness of evaluate results and some algorithms to choose the parameters, at the end of algorithms find the best parameters-set, the “it” thinks.
The data flow is show in the following figure:
The R package mcga (Satman 2018) is recommend to calibrate, it is a Machine coded genetic algorithm to calibrate multi-parameters problem.
mcga2()
is the main function, this function require at least three arguments: fitness
a function that can return a value to evaluate the parameters-set, min
minimal parameters-set in vector, max
maximal parameters-set in vector, and other arguments those fitness
require. The fitness
in EDHM is just the function EVALUTE()
.
For example:
Fitness_GA = mcga2(fitness = EVALUATE,
fct_Run_Model = Run_Model.SERR,
TimeVariData = TimeVariData_run,
TimeInvariData = TimeInvariData,
Paramter_fest = Param_Base,
Observe = Observe_run,
warmUPN = 500,
fct_Evaluate = KGE,
min = ParamterCalibrateMin,
max = ParamterCalibrateMax,
popSize = 15,
maxiter = 18)
2.1.5 Check the InData list
After the preparation of data must check the data, weather there is NA or other unlogical data.
The check tools will provide in the fast future.
2.2 Coupling a new Model with MODULE
Generally researcher design a model for a basin or some specific environment, so in a new research region, we can use one model, the designed for this kind of basin or watershed and calibrate the empirical parameters. But sometimes by the calibrate of parameters can also not solve the problem, so researcher need change some of process to promote the simulation. In EDHM researcher are can use many MODULEs to build a new MODEL. The available PROCESSes and MODELs is show in the table.
The coupling of a new MODEL will summarized as six steps:
In this section a example MODEL.GR4J
will show for explain.
2.2.1 Choose MODULE
After the new designed model, there will required some PROCESSes, check the PROCESS and MODULE table and choose the relevant Methods to those PROCESS, also say the MODULEs. In this table you can click the MODULE name check the InData, Param and OutData in order to better understand the MODULE, also the literature of this Method is accessible.
The MODULEs ReferenceET.Hargreaves
, ActualET.Gr4j
, RUNOFF.Gr4j
and ROUTE.Gr4j
are selected.
2.2.2 Set the Order
Every PROCESS (MODULE) have the clear physical meaning, so by those you should set a correct order of those MODULEs.
The PROCESS ReferenceET
is certainly before ActualET
, and ROUTE
is the end PROCESS of a rainfall-runoff model. So the MODULE will set as:
## ET
ETOut <- ActualET.Gr4j(InData, Param) # S2
## Runoff
RFOut <- RUNOFF.Gr4j(InData, Param) # S2
## Route
RTOut <- ROUTE.Gr4j(InData, Param) # S2
2.2.3 Deal with InData and Param
“Data Space” and “Parameter List” are the data-flow of the MODEL, the “Data Space” will save all of the VARIABLEs, it can be readied by the MODULE and use the function left_merge()
write the OutData of MODULE into it.
In the running of MODEL the InData will set into StepData for every step.
The step will divided into five sub-steps:
Get the parameters from Param; [# S3-0]
Initialize the StepData; [# S3-1]
Set the initial boundary data; [# S3-2]
Make loop for every step; [# S3-3]
Merge the OutData into “Data Space” (StepData). [# S3-4]
PeriodN <- Param$PeriodN # S3-0
GridN <- Param$GridN # S3-0
## StepData
StepData <- new('hm.list') # S3-1
StepData$Ground$MoistureVolume <- rep(0, GridN) # S3-2
StepData <- left_merge(StepData, TimeInvariData) # S3-2
for(i in 1: PeriodN){ # S3-3
Param$time_step_i <- i
StepData <- left_merge(StepData, TimeVariData[i]) # S3-4
## ET
ETOut <- ActualET.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, ETOut) # S3-4
## Runoff
RFOut <- RUNOFF.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, RFOut)
StepData$Route$WaterSource <- StepData$Groud$Runoff * StepData$GridData$Area / Param$TimeStepSec / 1000
## Route
RTOut <- ROUTE.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, RTOut) # S3-4
}
2.2.4 Set OutData
In EDHM which VARIABLE need to output are enable to choose, those are useful for research.
The step will divided into two sub-steps:
Initialize the OutData; [# S4-1]
Transfer from StepData into OutData. [# S4-2]
PeriodN <- Param$PeriodN # S3-0
GridN <- Param$GridN # S3-0
## StepData
StepData <- new('hm.list') # S3-1
StepData$Ground$MoistureVolume <- rep(0, GridN) # S3-2
StepData <- left_merge(StepData, TimeInvariData) # S3-2
## OutData
OutData <- new("t_vari.hm.list") # S4-1
OutData$Route$StaFlow <- t_vari.array(0, c(PeriodN, GridN)) # S4-1
for(i in 1: PeriodN){ # S3-3
Param$time_step_i <- i
StepData <- left_merge(StepData, TimeVariData[i]) # S3-4
## ET
ETOut <- ActualET.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, ETOut) # S3-4
## Runoff
RFOut <- RUNOFF.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, RFOut)
StepData$Route$WaterSource <- StepData$Groud$Runoff * StepData$GridData$Area / Param$TimeStepSec / 1000
## Route
RTOut <- ROUTE.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, RTOut) # S3-4
OutData[i] <- StepData # S4-2
}
2.2.5 Deal with middle VARIABLE
The InData of MODULE naming by the regulation, that can clear many works, but there still are some VARIABLE those need to deal.
In this Example, the Ground$Runoff
is in [mm] calculated but Route$WaterSource
require a unit [m3/s], so people must transfer the two VARIABLEs.
## Runoff
RFOut <- RUNOFF.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, RFOut)
StepData$Route$WaterSource <- StepData$Groud$Runoff * StepData$GridData$Area / Param$TimeStepSec / 1000 # S5
## Route
RTOut <- ROUTE.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, RTOut) # S3-4
2.2.6 Name and Data_
At the end only require a name for this MODEL, most importantly please not forget make the Data_ dataset.
MODEL.GR4J <- function(TimeVariData, TimeInvariData, Param, ...) {
PeriodN <- Param$PeriodN # S3-0
GridN <- Param$GridN # S3-0
## StepData
StepData <- new('hm.list') # S3-1
StepData$Ground$MoistureVolume <- rep(0, GridN) # S3-2
StepData <- left_merge(StepData, TimeInvariData) # S3-2
## OutData
OutData <- new("t_vari.hm.list") # S4-1
OutData$Route$StaFlow <- t_vari.array(0, c(PeriodN, GridN)) # S4-1
for(i in 1: PeriodN){ # S3-3
Param$time_step_i <- i
StepData <- left_merge(StepData, TimeVariData[i]) # S3-4
## ET
ETOut <- ActualET.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, ETOut) # S3-4
## Runoff
RFOut <- RUNOFF.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, RFOut)
StepData$Route$WaterSource <- StepData$Groud$Runoff * StepData$GridData$Area /
Param$TimeStepSec / 1000 # S5
## Route
RTOut <- ROUTE.Gr4j(StepData, Param) # S2
StepData <- left_merge(StepData, RTOut) # S3-4
OutData[i] <- StepData # S4-2
}
return(OutData)
}
2.3 Design a new MODULE
Not only the coupling of MODULEs but also design a new MODULE very easy with EDHM. And one point need to mark that the MODULE should support the vectorization-arithmetic.
The workflow show in following figure:
The design of a new MODULE will summarized as five steps:
In this section will show the example ActualET.Gr4j
.
2.3.1 Method and Formula
The method and formulas for a PROCESS can collected from all kinds of books and literature.
The calculate method of GR4J shows in the link.
2.3.2 Coding the body
By the formulas can program the function body easily.
judge_PbE <- P > E # S1
Pn <- judge_PbE * (P - E) # S1
En <- (!judge_PbE) * (E - P) # S1
Es <- S * (2 - S / X1) * tanh(En / X1) / (1 + (1 - S / X1) * tanh(En / X1)) # S1
2.3.3 Set In/OutData and Parameter
The most important of the design is the naming of InData and OutData, all of them should select from Pre_dataset
, include the GROUP name and VARIABLE name, when the VARIABLE is only used for this MODULE, the naming is not rigid.
X1 <- Param$Gr4j_X1 # S2-1
E <- InData$Evatrans$RET # S2-1
S <- InData$Ground$MoistureVolume # S2-1
P <- InData$Prec$Precipitation # S2-1
judge_PbE <- P > E # S1
Pn <- judge_PbE * (P - E) # S1
En <- (!judge_PbE) * (E - P) # S1
Es <- S * (2 - S / X1) * tanh(En / X1) / (1 + (1 - S / X1) * tanh(En / X1)) # S1
return(list(Evatrans = list(AET = Es), Prec = list(Precipitation = Pn))) # S2-2
2.3.4 Name and Data_
The name of a MODULE should base on the PROCESS name and add the mark of this method.
In the example the PROCESS is “ActualET”, and the method can mark as “Gr4j”, so get the MODLUE name “ActualET.Gr4j”
ActualET.Gr4j <- function(InData, Param, ...){ # S3
X1 <- Param$Gr4j_X1 # S2-1
E <- InData$Evatrans$RET # S2-1
S <- InData$Ground$MoistureVolume # S2-1
P <- InData$Prec$Precipitation # S2-1
judge_PbE <- P > E # S1
Pn <- judge_PbE * (P - E) # S1
En <- (!judge_PbE) * (E - P) # S1
Es <- S * (2 - S / X1) * tanh(En / X1) / (1 + (1 - S / X1) * tanh(En / X1)) # S1
return(list(Evatrans = list(AET = Es), Prec = list(Precipitation = Pn))) # S2-2
}
The Data_ActualET.Gr4j can be write as:
Data_ActualET.Gr4j <-
list(ref_title = 'Improvement of a parsimonious model for streamflow simulation',
ref_bib = 'Perrin.2003',
InData = left_merge(t_vari.hm.list(),
list(Evatrans = list(RET = t_vari.array(0, c(3))),
Ground = list(MoistureVolume = t_vari.array(0, c(3))),
Prec = list(Precipitation = t_vari.array(0, c(3))))),
Param = list(Gr4j_X1 = c(0.1, 9.99, 'mm')),
OutData = left_merge(t_vari.hm.list(),
list(Evatrans = list(AET = t_vari.array(0, c(3))),
Prec = list(Precipitation = t_vari.array(0, c(3))))))
References
Mauricio Zambrano-Bigiarini. 2020. HydroGOF: Goodness-of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series. https://github.com/hzambran/hydroGOF.
Satman, Mehmet Hakan. 2018. Mcga: Machine Coded Genetic Algorithms for Real-Valued Optimization Problems. https://CRAN.R-project.org/package=mcga.


A VERY OLD MAN WITH ENORMOUS WINGS A film review by Thomas E. Billings Copyright 1989 Thomas E. Billings
Synopsis: A mute winged man (an angel, perhaps?) is discovered by a poor couple in the Caribbean. They put him in their chicken coop. Word spreads and soon their house is a major tourist stop, visited by crowds of pilgrims and curiosity seekers, and surrounded by a constant carnival. An interesting film, but nothing special.
Cuba/Italy/Spain (English subtitles), color, 1988, 90 minutes. Director: Fernando Birri
One night, during a heavy rainstorm, an old man washes ashore in front of the home of Pelayo and Elisena, a very poor couple living in the Caribbean (possibly Cuba). The man is very old, weak, mute, and has very large wings! Could he be an angel?
They put him in their fenced-in chicken coop. Word quickly spreads that he is an angel, and crowds of curiosity seekers and religious pilgrims appear. The local priest comes by to denounce him as a fraud, but nobody pays attention. Pelayo and Elisena realize that there's money in this for them, and begin to charge admission.
Shortly thereafter they learn that the "angel" might be a mere mortal. However, they cover it up, as they don't want to lose their new business. An amusement park/carnival develops in their neighborhood, serving the crowds that come to see the angel. This attracts hucksters and other shady types. Pelayo and Elisena must deal with the changes this brings in their life, and the story continues from there.
This film provides some interesting insights into human nature, though the insights are often cruel. The angel is alternately adored and abused by the crowds. A blind woman enters the chicken coop, singing in a high pitched voice, and demanding a miracle (not asking, demanding). She doesn't specify the miracle she wants. When a miracle is not immediately delivered, she starts to beat the angel with her cane! This angers the angel (who has some powers), and he gives her a miracle: he changes her voice to a deep, man's voice! Well, she gets her miracle after all! Additional insights are provided by the priest's bumbling efforts to discredit the angel, and by the hucksters that appear to make money off the crowds visiting the angel.
Although the film is relatively interesting, and is well made with high production values, I should warn you that the story develops at a slow pace. Additionally, the film seems to be edited for television (it was originally made for Spanish television).
Although the film is interesting, its slow pace and unusual subject prevent me from recommending it to a general audience. Those with an interest in human relations films should give it consideration.
Distribution. Currently being screened at some art houses and repertory theaters in the U.S., it is part of a set of films being marketed under the title "Dangerous Loves." These films, originally made for Spanish television, are based (sometimes loosely) on stories by Gabriel Garcia Marquez.
Reviewer contact<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


@* * Copyright 2019 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.FrontendAppConfig @import controllers.routes._ @import models.Mode @import uk.gov.hmrc.play.views.html._ @import views.ViewUtils._ @(appConfig: FrontendAppConfig, form: Form[_], mode: Mode)(implicit request: Request[_], messages: Messages) @main_template( title = s"${errorPrefix(form)} ${messages("uploadSupportingMaterialMultiple.title")}", appConfig = appConfig, bodyClasses = None) { @helpers.form(action = UploadSupportingMaterialMultipleController.onSubmit(mode), 'enctype -> "multipart/form-data", 'id -> "upload-files-form") { @components.back_link() @components.error_summary(form.errors) @components.heading(messages("uploadSupportingMaterialMultiple.heading"))
@messages("uploadSupportingMaterialMultiple.upload.title")


TPageConfiguration class
TPageConfiguration represents the configuration for a page. The page is specified by a dot-connected path. Configurations along this path are merged together to be provided for the page.
Located in /Web/Services/TPageService.php (line 528)
TComponent | --TPageConfiguration
Constructor.
Returns list of page initial property values.
Each array element represents a single property with the key being the property name and the value the initial property value.
Returns list of authorization rules.
The authorization rules are aggregated (bottom-up) from configuration files along the path to the specified page.
Loads the configuration specific for application part
Loads a specific config file.
Loads configuration for a page specified in a path format.
Loads a page configuration.
The configuration includes information for both application and page service.
Loads the configuration specific for page service.
Inherited From TComponent
TComponent::addParsedObject()
TComponent::attachEventHandler()
TComponent::canGetProperty()
TComponent::canSetProperty()
TComponent::createdOnTemplate()
TComponent::detachEventHandler()
TComponent::evaluateExpression()
TComponent::evaluateStatements()
TComponent::getEventHandlers()
TComponent::getSubProperty()
TComponent::hasEvent()
TComponent::hasEventHandler()
TComponent::hasProperty()
TComponent::raiseEvent()
TComponent::setSubProperty()
TComponent::__get()
TComponent::__set()
Documentation generated on Fri, 03 Jun 2011 16:25:22 +0200 by phpDocumentor 1.3.0RC4


Hometown: Los Angeles, California LaDiamondBlue, actress , singer – songwriter and proclaimed “love child”, was born LaDiamond Blueford on December 2, 1994, in Los Angeles, California. A true 90's baby with matching flair, she credits her musical and vocal influences to artists such as Indie Arie, Brandy, Aaliyah, Monica, and Beyoncé. With deep roots in music equipped with being raised by a musically inclined family, her grandfather being a local and well known Blues singer and her mother being a member of a singing group and winner of the ‘Gong Show’ in 1977, she fused all of her inspirations thus designing her very own melodic niche. Beginning at the age of 7, Blue discovered her own voice after multiple divine circumstances such as her unforgettable elementary school performance, becoming a member of the McCoy Memorial Baptist Church Children’s Choir, and at the age of twelve winning the Gospel American Idol Competition in 2006. The following year she began writing her own songs and at age 15 began in studio recording. It was evident then that LaDiamondBlue would have a long lasting and budding relationship with music for years to come.
As a student of Texas Southern University, LaDiamondBlue was given an outlet to join forces with other performing arts students who shared her dream of impacting the world through music. Commencing her freshman year, she collaborated with another student and featured on songs, such as “A.I.D.S.” (Alcohol In Da System...), “Living Life With No Air,” and “Thuggish Luvn”. Rightfully, Blue’s name grew on campus, attracting a crew of students with Film and Art majors who would continue building lasting relationships beneficial to her movement and career. During her second year of college, she gained the lead role as “Dena Jones”, in TSU’s adaptation of the iconic play, “Dream Girl”, and was nominated for The Kennedy Center for Performing Arts, Irene Ryan Award. Her junior year in college, she officially became the co-founder and President of TSU’s highly sought after Hip-Hop Dance Group, ‘Raw Materialz.’ With the amazing support of TSU, upon earning her degree in Telecommunications and TV & Film, Blue traveled to Beijing and Paris where she performed and worked towards perfecting her craft she spoke highly of the experience stating “Sometimes I feel like I’m dreaming.”
The dynamic songstress who devotes her gifts to multiple musical genres especially Neo Soul and R&B, has a writing and performing style befitting of her own character; it is lively and profoundly resonates with her audience. Fans have said that LaDiamondBlue’s first single, ‘With U’ (2016), “makes them want to fall and be in love.” She affectionately enjoys writing and singing about the emotional journey her mind, body and soul takes when she experiences pivotal moments regarding family, love, relationships, and pain. She loves writing to the sound of the bass and singing from her soul, creating the most timeless and heartfelt compositions stating that “I get a natural high, an adrenalin rush, when I’m writing and recording.” LaDiamondBlue declares through her music she desires “to help others stay encouraged” wanting her style to gain notoriety that is sought out due to the depth of her intellectually-stimulating lyrics and the quality of her compositions thus guaranteeing to one day be recognized globally for her musical benevolence and philanthropy.


|
Xenomai
3.0.4
|
Services for reading and spinning on the hardware timer. More...
Data Structures | |
| struct | rt_timer_info |
| Timer status descriptor. More... | |
Typedefs | |
| typedef struct rt_timer_info | RT_TIMER_INFO |
| Timer status descriptor. More... | |
Functions | |
| static RTIME | rt_timer_read (void) |
| Return the current system time. More... | |
| SRTIME | rt_timer_ns2ticks (SRTIME ns) |
| Convert nanoseconds to Alchemy clock ticks. More... | |
| SRTIME | rt_timer_ticks2ns (SRTIME ticks) |
| Convert Alchemy clock ticks to nanoseconds. More... | |
| void | rt_timer_inquire (RT_TIMER_INFO *info) |
| Inquire about the Alchemy clock. More... | |
| void | rt_timer_spin (RTIME ns) |
| Busy wait burning CPU cycles. More... | |
Services for reading and spinning on the hardware timer.
| typedef struct rt_timer_info RT_TIMER_INFO |
Timer status descriptor.
This structure reports information about the Alchemy clock, returned by a call to rt_timer_inquire().
| void rt_timer_inquire | ( | RT_TIMER_INFO * | info | ) |
Inquire about the Alchemy clock.
Return status information about the Alchemy clock.
| info | The address of a structure to fill with the clock information. |
References rt_timer_info::period.
| SRTIME rt_timer_ns2ticks | ( | SRTIME | ns | ) |
Convert nanoseconds to Alchemy clock ticks.
Convert a count of nanoseconds to Alchemy clock ticks. This routine operates on signed nanosecond values. This is the converse call to rt_timer_ticks2ns().
| ns | The count of nanoseconds to convert. |
|
inlinestatic |
Return the current system time.
Return the current time maintained by the Xenomai core clock.
| void rt_timer_spin | ( | RTIME | ns | ) |
Busy wait burning CPU cycles.
Enter a busy waiting loop for a count of nanoseconds.
Since this service is always called with interrupts enabled, the caller might be preempted by other real-time activities, therefore the actual delay might be longer than specified.
| ns | The time to wait expressed in nanoseconds. |
| SRTIME rt_timer_ticks2ns | ( | SRTIME | ns | ) |
Convert Alchemy clock ticks to nanoseconds.
Convert a count of Alchemy clock ticks to nanoseconds. This routine operates on signed nanosecond values. This is the converse call to rt_timer_ns2ticks().
| ns | The count of nanoseconds to convert. |


I enjoy puppies. They are adorable.
Let's look at some puppies
Reasons why puppies are cute.
Kittens are also the best.


<dependency>
<groupId>com.tinkerpop.blueprints</groupId>
<artifactId>blueprints-core</artifactId>
<version>??</version>
</dependency>
ReadOnlyGraph
and ReadOnlyIndexableGraph
wraps any Graph
or IndexableGraph
, respectively. The purpose of a ReadOnlyGraph
is to ensure that the graph is not mutated by a mutating method invocation. The following methods throw an UnsupportedOperationException
:
addVertex()
, removeVertex()
, addEdge()
, removeEdge()
, shutdown()
dropIndex()
, createIndex()
setProperty()
, removeProperty()
put()
, remove()


* Updating first or last name will automatically update this users username and notify them about the change.
* Welcome message with username and pass will be sent to the above email.
* Notifications DISABLED. You will need to enable this at a later time in order for this user to login.


| Class | Description |
|---|---|
| Driver |
Represents a driver for querying XML files with XPath expressions.
|
| NodeVariable |
A special
node variable for sub-queries and scripts that wraps
the node selected by an XPath query, exposing useful methods. |
| XPathConnection |
Represents a connection to an XML file.
|
| XPathQueryExecutor |
Executor for XPath queries.
|
| Exception | Description |
|---|---|
| XPathProviderException |
Thrown to indicate a problem with XML file querying.
|
| Driver class: | scriptella.driver.xpath.Driver |
| URL: | XML file URL. URIs are resolved relative to a script file directory. |
| Runtime dependencies: | None |
| Name | Description | Required |
|---|---|---|
| return_arrays | Value of true specifies that variables should
return a string array, otherwise a single string is returned.
| No, the default value is false . |
The query is executed on an XML Document and produces a rowset for matched nodes. The attribute and element values can be referenced from nested scripts/queries. The following example illustrates the querying mechanism:
Example:
XPath: /A
selects root element
 2 <C>3</C> Available variables for matched element :
| Name | Value |
|---|---|
| A | 2 3 |
| B | 1 |
| C | 3 |
The context node for the XPath query is the selected node of the nearest outer XPath query, or the document root node if there isn't one. This allows relative queries using ./
A special node
variable is available to the nested queries/scripts which provides extra methods for querying relative to the current node. The node variable is an instance of NodeVariable
. Using ${node.getString("./C")}
is equivalent to $C
.
Additional notes:
<connection id="in" driver="xpath" url="data.xml"/>
<connection id="out" driver="text" url="report.csv"/>
<query connection-id="in">
/HTML/BODY/TABLE/TR

</query>
Extracts rows from tables in data.xml file and produces report.csv.Copyright © Copyright 2006-2019 The Scriptella Project Team.


Package
Class
Use
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
J
L
M
N
O
P
R
S
T
U
V
W
M
magnitude
- Variable in class pages.
DataPoint
main(String[])
- Static method in class pages.
BZ2LineReader
main(String[])
- Static method in class pages.
MapPages
Main method: mostly argument-parsing.
makeIndex()
- Method in class pages.
GenreList
makeMarkovTable(ArrayList<String>, double)
- Method in class pages.
Corpus
makePagePoints(HashMap<String, Integer>)
- Method in class pages.
Volume
makeVolumePoint(HashMap<String, Integer>)
- Method in class pages.
Volume
MapPages
- Class in
pages
MapPages()
- Constructor for class pages.
MapPages
mapToPPath(String)
- Method in class pages.
PairtreeReader
markov
- Variable in class pages.
ClassifyingExecutor
markov
- Variable in class pages.
ClassifyingThread
markov
- Variable in class pages.
Model
MARKOVSMOOTHING
- Static variable in class pages.
MapPages
MarkovTable
- Class in
pages
MarkovTable(double, GenreList)
- Constructor for class pages.
MarkovTable
MarkovTable(double[][])
- Constructor for class pages.
MarkovTable
masterList
- Variable in class pages.
Partition
maxgenre(double[])
- Method in class pages.
EnsembleOutput
maxgenre(double[])
- Method in class pages.
EnsembleThread
maxPageNum
- Variable in class pages.
Volume
maxvote(int[])
- Method in class pages.
EnsembleOutput
maxvote(int[])
- Method in class pages.
EnsembleThread
meanFreqOfWords
- Variable in class pages.
Vocabulary
meansOfFeatures
- Variable in class pages.
FeatureNormalizer
memberProbs
- Variable in class pages.
WekaDriver
memberProbs
- Variable in class pages.
WekaDriverForest
memberProbs
- Variable in class pages.
WekaDriverMulticlass
memberProbs
- Variable in class pages.
WekaDriverSVM
metadataFeatures
- Variable in class pages.
Volume
minutesToWait
- Static variable in class pages.
MapPages
model
- Variable in class pages.
EnsembleAssembler
Model
- Class in
pages
This class is basically just a convenience wrapper for all the elements of a model.
Model(Vocabulary, FeatureNormalizer, GenreList, ArrayList<GenrePredictor>, MarkovTable)
- Constructor for class pages.
Model
modelLabel
- Variable in class pages.
ClassifyingExecutor
modelLabel
- Variable in class pages.
ClassifyingThread
modelLabel
- Variable in class pages.
JSONResultWriter
modelNames
- Variable in class pages.
EnsembleOutput
modelType
- Variable in class pages.
EnsembleAssembler
multiclassForest
- Static variable in class pages.
Global
multiclassTrainAndClassify(ArrayList<String>, ArrayList<String>, ArrayList<String>, String, ArrayList<String>, String, boolean)
- Static method in class pages.
MapPages
multipleForests
- Static variable in class pages.
Global
Package
Class
Use
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
J
L
M
N
O
P
R
S
T
U
V
W


This statement suggests that a surface has two dimensions, but says
very little, if anything, since neither length nor breadth have
been defined yet, nor will they ever be. From the next definition,
it is clear that a surface does not have to be a plane. Other
examples of surfaces that appear in the Elements are
surfaces of cones, cylinders, and spheres.


When you purchase something from our store, as part of the buying and selling process, we collect the personal information you give us such as your name, address and email address.
When you browse our store, we also automatically receive your computer’s internet protocol (IP) address in order to provide us with information that helps us learn about your browser and operating system.
Email marketing (if applicable): With your permission, we may send you emails about our store, new products and other updates.
SECTION 2 - CONSENT
How do you get my consent?
When you provide us with personal information to complete a transaction, verify your credit card, place an order, arrange for a delivery or return a purchase, we imply that you consent to our collecting it and using it for that specific reason only.
If we ask for your personal information for a secondary reason, like marketing, we will either ask you directly for your expressed consent, or provide you with an opportunity to say no.
How do I withdraw my consent?
If after you opt-in, you change your mind, you may withdraw your consent for us to contact you, for the continued collection, use or disclosure of your information, at anytime, by contacting us at<EMAIL_ADDRESS>or mailing us at: CloudGifts, Inc. 2201 Francisco Dr. Suite 140-465, El Dorado Hills, CA, 95762, United States
SECTION 3 - DISCLOSURE
We may disclose your personal information if we are required by law to do so or if you violate our Terms of Service.
SECTION 4 – THIRD PARTY SERVICES
Our store is hosted on third party services. They provide us with the online e-commerce platform that allows us to sell our products and services to you.
Your data is stored through the third party services’ data storage, databases and the general third party services applications.
Payment:
If you choose a direct payment gateway to complete your purchase, then the third party services stores your credit card data. It is encrypted through the Payment Card Industry Data Security Standard (PCI-DSS). Your purchase transaction data is stored only as long as is necessary to complete your purchase transaction. After that is complete, your purchase transaction information is deleted.
All direct payment gateways adhere to the standards set by PCI-DSS as managed by the PCI Security Standards Council, which is a joint effort of brands like Visa, MasterCard, American Express and Discover.
PCI-DSS requirements help ensure the secure handling of credit card information by our store and its service providers.
SECTION 5 - THIRD-PARTY SERVICES
In general, the third-party providers used by us will only collect, use and disclose your information to the extent necessary to allow them to perform the services they provide to us.
However, certain third-party service providers, such as payment gateways and other payment transaction processors, have their own privacy policies in respect to the information we are required to provide to them for your purchase-related transactions.
For these providers, we recommend that you read their privacy policies so you can understand the manner in which your personal information will be handled by these providers.
In particular, remember that certain providers may be located in or have facilities that are located in a different jurisdiction than either you or us. So if you elect to proceed with a transaction that involves the services of a third-party service provider, then your information may become subject to the laws of the jurisdiction(s) in which that service provider or its facilities are located.
As an example, if you are located in Canada and your transaction is processed by a payment gateway located in the United States, then your personal information used in completing that transaction may be subject to disclosure under United States legislation, including the Patriot Act.
Once you leave our store’s website or are redirected to a third-party website or application, you are no longer governed by this Privacy Policy or our website’s Terms of Service.
Links
When you click on links on our store, they may direct you away from our site. We are not responsible for the privacy practices of other sites and encourage you to read their privacy statements.
SECTION 6 - SECURITY
To protect your personal information, we take reasonable precautions and follow industry best practices to make sure it is not inappropriately lost, misused, accessed, disclosed, altered or destroyed.
If you provide us with your credit card information, the information is encrypted using secure socket layer technology (SSL) and stored with a AES-256 encryption. Although no method of transmission over the Internet or electronic storage is 100% secure, we follow all PCI-DSS requirements and implement additional generally accepted industry standards.
COOKIES
CloudGifts uses cookies.
SECTION 7 - AGE OF CONSENT
By using this site, you represent that you are at least the age of majority in your state or province of residence, or that you are the age of majority in your state or province of residence and you have given us your consent to allow any of your minor dependents to use this site.
SECTION 8 - CHANGES TO THIS PRIVACY POLICY
We reserve the right to modify this privacy policy at any time, so please review it frequently. Changes and clarifications will take effect immediately upon their posting on the website. If we make material changes to this policy, we will notify you here that it has been updated, so that you are aware of what information we collect, how we use it, and under what circumstances, if any, we use and/or disclose it.
If our store is acquired or merged with another company, your information may be transferred to the new owners so that we may continue to sell products to you.
QUESTIONS AND CONTACT INFORMATION
If you would like to: access, correct, amend or delete any personal information we have about you, register a complaint, or simply want more information contact our Privacy Compliance Officer at<EMAIL_ADDRESS>or by mail at CloudGifts, Inc.
[Re: Privacy Compliance Officer]
[2201 Francisco Dr. Suite 140-465, El Dorado Hills, CA, 95762, United States]
----


Jim Careey
amazing people are making amazing design in a fun environment
When you work with us,you are part of the team of committed collaborators.All aspects of our software development process are intergrated, interactive and agile.
Our approach unifies design,development and product management to create exceptional products.
We start each project by understanding your businness goals,the user's needs and the product
requirements.
Then we help translate them into effective and elegant solutions.
Jim Careey
Pyramids
Ontario Security
Black Studio
Have A Good Day
Calculator
Burned
Giraffe Restaurant


Some things of note to check out:
The go.mod file
go.mod
The go.sum file (notice the checksums!)
go.sum


Augury is a Google Chrome Dev Tool extension for debugging Angular 2 applications. Treat this as a "developer preview". Until the official release, please follow instructions on github to build the tool locally and install it from the source. It's actually quite easy!


User Guides
-
Quickstart
10-minute tutorial on the GenePattern Notebook Environment
-
Basic Features
Most commonly used features
-
Publish and Share Notebooks
How to share or publish notebooks
-
Best Practices
10 simple rules for reproducible research in GenePattern Notebook
- Cheat Sheet
- Videos and Presentations
Technical Documentation
-
Programmatic Features
Features for notebook authors and developers
-
Local Installation
How to install GenePattern Notebook locally
-
Jupyter Users
Additional information for Jupyter users
-
Integration Guide
Integrate GenePattern Notebook into a shared Jupyter environment
-
Release Notes
Latest updates on GenePattern Notebook and its various extensions
-
Packages, Kernels, and Extensions
Currently available on the GenePattern Notebook server
- FAQ
GenePattern Documentation
-
GenePattern Concepts
Brief introduction to the concepts and terms used in GenePattern and its documentation
-
GenePattern Analysis Modules
Available GenePattern modules
-
File Formats Guide
File formats used by GenePattern modules
-
Programmers Guide
Developing GenePattern modules and accessing GenePattern programmatically
- GenePattern Videos


{{prodDetailVm.prodDetailData.productName}}
An an valley indeed so no wonder future nature vanity.
Debating all she mistaken indulged believed provided declared.
He many kept on draw lain song as same.
Whether at dearest certain spirits is entered in to.
Rich fine bred real use too many good.
She compliment unaffected expression favourable any.
Unknown chiefly showing to conduct no.
Hung as love evil able to post at as.
Remain lively hardly needed at do by.
 True mr gone most at. Dare as name just when with it body.
Travelling inquietude she increasing off impossible the.
Cottage be noisier looking to we promise on.
Disposal to kindness appetite diverted learning of on raptures.
Betrayed any may returned now dashwood formerly. Balls way delay shy boy man views.
No so instrument discretion unsatiable to in.
{{prodDetailVm.prodDetailData.productPrice | currency}}
Add to Cart


menu
Rose Schedule
Log Out
Select Schedule
search
My Schedule
Select Schedule
My Schedule
CANCEL
View:
Now
Day
Week
Select the Class to Edit by Clicking It's Name
Time
M
TU
W
TR
F
8:00 - 8:50
Free
9:00 - 9:50
Free
10:00 - 10:50
Free
11:00 - 11:50
Free
12:00 - 12:50
Free
1:00 - 1:50
Free
2:00 - 2:50
Free
3:00 - 3:50
Free
4:00 - 4:50
Free


https://www.youtube.com/watch?v=Uqy2IUhYkVA
The Recovery Position - First Aid Training https://www.youtube.com/watch?v=GmqXqwSV3bo
Spinal Chord Injury Everything You Need To Know https://www.youtube.com/watch?v=8nhx_CumPj0
Spinal Recovery Position https://www.youtube.com/watch?v=t391GaipR4w
How to Logroll an Injured Person for First Aid https://www.youtube.com/watch?v=qFpL1haiSmk


Exam Central
User Profile
Past Exam
Analytics
My Exam
Logout
Edit Profile
DateTimePicker
Username
Email address
First Name
Last Name
Address
City
Country
Postal Code
About Me
Lamborghini Mercy, Your chick she so thirsty, I'm in that two seat Lambo.
Update Profile
Mike Andrew
michael24
"Lamborghini Mercy
Your chick she so thirsty
I'm in that two seat Lambo"


THE TRUMAN SHOW ***1/2 (out of four) -a review by Bill Chambers<EMAIL_ADDRESS>(By now, most of you know how much my site SUCKS. Come visit this train wreck of a webpage, anyway: FILM FREAK CENTRAL http://www.geocities.com/~billchambers Some cool new features, plus a Little Shop of Horrors (1986) rare DVD auction until June 12th.)
starring Jim Carrey, Ed Harris, Laura Linney, Natasha McElhone screenplay by Andrew Niccol directed by Peter Weir
Weir is well-respected in Hollywood for turning scripts with difficult subject-matter into deceptively simple, powerful films, The Mosquito Coast (utopia) and Fearless (post-traumatic stress disorder) among them. In The Truman Show, Weir essentially breathes life into the now-tired concept of media-manipulation by tackling the material from the inside-out. It certainly helps that he has an underrated performer in top-form playing the title character, Truman Burbank.
By now you must be aware of the premise: unbeknownst to him, Truman (Carrey) is the star of his own TV series, a 24-7 peep-show in which he is surrounded by actors and placed in loosely scripted situations; people around the world tune in for the voyeuristic thrill of his genuine reactions to fictitious stimulants. `Seahaven', his hometown, and the show itself, are the brainchild of Christof (Harris), who presides over his creation in the base of a fake moon, directing over 500 cameras and hundreds of actors and extras. For 30 years, Truman suspects nothing-`We accept the reality we're given,' poses Christof-but a desire to break free of the sunny town and visit a long lost love in `Fiji' (McElhone, who was actually an actress fired by Christof for trying to break the confidentiality agreement) overwhelms him. Thus, Christof and his team suddenly find themselves working twice as hard to keep the veneer of Seahaven intact, lest Truman discover the world outside and put an end to the highly-rated program.
In a few broad strokes, Weir creates a convincing second-reality, and he has the good sense not to bring Christof into the picture until almost three-quarters through. This allows us to comprehend and accept Truman's world before we contextualize it. For all his madness, Christof has shown the world a place without violence and hardship, and demonstrated that a human being can function well within it. Truman is an inspiration to his audience because he grew up to be, well, so darn nice; like a sibling (or, perhaps more appropriately, a caged animal in an interactive zoo), they want to see him succeed. The surrealistic soap opera is completely plausible thanks to a tight screenplay and a sympathetic Carrey-he really is an everyman here, abandoning his facial contortions in favour of a credible, wide-eyed bewilderment. Cinematically, The Truman Show is impeccable, stylishly photographed by Peter Biziou and littered with symbolic images. As well, it employs Wojciech Kilar's piece "Zycie za zycie' masterfully and beautifully. If the film has any flaws, one may find them in Laura Linney's characterization as Meryl, Truman's "wife" (I doubt that Betty Crocker impersonation would fool anyone), and in a subplot involving Truman's `father', which feels curiously incomplete.
There are a few stupendous sequences, and the film pulls off a wonderful trick: we become Truman's audience as much as the loyal viewers in the film. They wear buttons asking `How will it end?' I couldn't wait to know myself, though I didn't exactly want it to end, for this inspired movie is possibly the best-and most complex-summer picture in years.
-Bill Chambers; June, 1998
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Getting Started with IQRFBB-10
IQRFBB-10 development board helps you to design IOT devices for IQRF wireless network. Simply connect sensor or actuator you want to, join the board to IQRF network and device is ready. If you are satisfied with such working device scale IQRFBB-10 layout to final product and your IOT product is done.
In this tutorial we will show you:
- How to prepare IQRF network.
- How to connect IQRFBB-10 to the IQRF network as a node.
- How to connect different sensors to the board.
- How to communicate with the board from your software via IQRF gateway.
Prepare IQRF network
Firs check IQRF network around you. If you do not have any, let's start with this tutorial SetupIqrfNetwork.
Assemble Board
- JP1: OFF
- JP6: OFF
- Insert IQRF TR into board
Connect Programmer
-
Unplug USB cable from CK-USB-04A
-
Unplug IQRFBB-10 from microUSB and JP6=OFF.
-
Unplug TR module JP1=OFF.
-
Make wiring
-
Plug JP4=ON, JP1=OFF.
-
Plug micro-USB to IQRFBB-10 to power-on. Indication LD1=ON (charging battery), LD4=ON
-
Plug micro-USB to CK-USB-04A
-
Now the board is ready for software loading
Load Software
If we are talking about software loading, we always mean loading software to IQRF transceiver TR-76D mounted on IQRFBB-10. Via software load you configure transceiver within IQRF network. Now we will configure board (transceiver) as a node of IQRF network.
-
Make sure you made a proper wiring and both USB power sources (programmer + board) are on.
-
Now you can upload node configuration as described in preparation of your IQRF network chapter. Do not put any IQRF module into CK-USB-04A programmer SIM!
-
Uploading data into transciever is sihnalized by LD3 diod on IQRFBB-10 board.
-
Unplug micro USB of CK-USB-04A programmer
-
Unplug micro USB of IQRFBB-10 board.
-
Unplug CK-USB-04A from IQRFBB-10.
Bond to Network
Bonding IQRF nodes is generally described here..., bonding IQRFBB-10 board goes this way:
-
Turn on battery power JP6 = ON. Diod indicating power on is LD4 = ON.
-
Turn TR module power JP1 = ON.
-
Open IDE, then menu start Tools/IQMESH Network Manager and fill out the dialogue as shown (TX power, Auto address, ...).
-
Then pres Clear All Bonds for remove any previous bonded modules. Red diods of modules are blinking, at IQRFBB-10 it is diod LD3.
-
Then pres Bond Node and during bonding period press and hold SW1 button at one node until green diod turns on. Repeat for each node. At IQRFBB-10 the SW1 is an external contact EQ12, GND, red diod is LD3 and green diods is LD2.
-
Now you should see yellow spots indicating successful bonding. Now click Discovery and spots are in blue.
-
Switch in IDE to Map View and you should see node structure something like in the picture.
-
Try to turn on LD3 (RED diod) on IQRFBB-10 board. Click rigt mouse button on spot indicating board (it depends on the bonding order) and select LED Red On. Then the LD3 = ON on the board.
Check Operability
Now you have fully configured IQRFBB-10 board. You can check operability this way:
-
Battery power turn on/off is always done via JP6. When you power board on, then it is always automatically connected to the IQRF network (if you properly did all steps above).
-
For checking of connectivity open IDE and in IQMESH Network Manager, view Control click Discovery button. Working nodes are displayed in blue spots, previously bonded but inactive are shown as yellow spots.
-
Switch to Map View, find IQRF-BB10 node (one of blue spheres) and try to turn on LD3 (RED diod) on IQRFBB-10 board. Right click mouse button on spot indicating board and select LED Red On. Then the LD3 = ON on the board.
Examples
Now we can make from IQRFBB-10 any wireless sensor or actuator by wiring proper sensor or actuators. Let's continue to our examples


ACCU
Although Ed stood at a lectern, this wasn’t a parapet. This was more a workshop where he stood at the front and gave a brief overview of himself and what he understood by the term encapsulation and then started to open it up to the audience to see what their opinions were. The initial example was a simple Player class that had two properties – Score and Name – that were first exposed as public fields, and then as (C#) properties. The question then was whether the latter was considered more encapsulated than the first, and if so why?
It’s amazing how much discussion such a simple question can generate and after a brief detour about what the modern texts are on OO design & programming are(still Meyer and Booch it seems), Ed moved the question on by providing some additional context. He also switched from background slides to an IDE so that we could explore the problem together which now included a Leaderboard class which is used to display the Player’s scores in some way.
This is where the high-bandwidth communication that a session like this provides really starts to pay dividends. Although Ed has some idea of how he wanted to transform the un-encapsulated Player class and use the number of compiler errors as a very loose indicator on the amount of encapsulation, the audience had other ideas about the way the design could be improved. In particular the discussion started to ramp up once the question moved to how an update to a player’s score might be handled. Ed’s initial suggestion was to follow the principle of Tell, Don’t Ask which improved encapsulation, but at what appeared to be an increase in coupling.
Even a simple problem such as this raises so many questions that it’s hard to come to any sort of consensus – the lack of constraints and concrete requirements just means that so many choices are potentially valid. But at the same time the freedom allowed the audience to question the very role that the Player class was providing and whether it even needed a public presence at all which was not a direction I think Ed ever expected to be exploring.
Ultimately we were out of time and so needed to adjourn to the pub across the road to contemplate how things turned out. There was no doubt that the people I spoke to found the whole experience very enjoyable and it just goes to show that even though OO has been the dominant force for a considerable number of years we still have so much to learn.
Chris Oldwood
15 June 20128
Bio
Chris started out as a bedroom coder in the
80s, writing assembler on 8-bit micros. These days it’s C++ and C# on Windows
in big plush corporate offices. He is also the commentator for the
Godmanchester Gala Day Duck Race and can be contacted via


This document was generated using the LaTeX2HTML translator Version 2006-1 (1.71)
Copyright © 1993, 1994, 1995, 1996,
Nikos Drakos,
Computer Based Learning Unit, University of Leeds.
Copyright © 1997, 1998, 1999,
Ross Moore,
Mathematics Department, Macquarie University, Sydney.
The command line arguments were:
latex2html paper.tex
The translation was initiated by lavdim on 2015-08-12


--- layout: post title: b3tacom challenge extending album art date: '2010-06-24T09:55:56+01:00' tags: [] tumblr_url: http://backlog.robbevan.com/post/730788087/b3tacom-challenge-extending-album-art ---
b3ta.com challenge: extending album art


Module: RARBG
- Defined in:
- lib/rarbg.rb,
lib/rarbg/api.rb,
lib/rarbg/version.rb,
lib/rarbg/categories.rb
Overview
Main namespace for RARBG.
Defined Under Namespace
Constant Summary collapse
- VERSION =
Gem version.
'2.0.0'
- CATEGORIES =
RARBG categories mapping.
{ 'Movies/XVID' => 14, 'Movies/XVID/720' => 48, 'Movies/x264' => 17, 'Movies/x264/1080' => 44, 'Movies/x264/720' => 45, 'Movies/x264/3D' => 47, 'Movies/x264/4k' => 50, 'Movies/x265/4k' => 51, 'Movies/x265/4k/HDR' => 52, 'Movies/Full BD' => 42, 'Movies/BD Remux' => 46, 'TV Episodes' => 18, 'TV HD Episodes' => 41, 'TV UHD Episodes' => 49, 'Music/MP3' => 23, 'Music/FLAC' => 25, 'Games/PC ISO' => 27, 'Games/PC RIP' => 28, 'Games/PS3' => 40, 'Games/PS4' => 53, 'Games/XBOX-360' => 32, 'Software/PC ISO' => 33, 'XXX' => 4 }.freeze


sometimes i wonder how dev bloggers have it in them to maintain posting on their website. does it have to do with their time management? to be honest, i don't know. whatever it is they possess that allows them to stay consistent and helpful, i know i don't have.
i want to atleast try to keep a blog, whether it isn't as consistent as the ones i read, hopefully it helps someone out there reading it. i dont expect many people to read my blog, but i'll welcome anyone who cares enough to pay attention.
although blogging isn't really my thing (yet), i do read some people's and i often take interest in whatever they end up writing about, tech related or not.
recently, i've really enjoyed watching luke smith's channel on youtube in my free time. he does a really good job at getting to the point and giving meaning to the content he puts out. his humor is sardonic and his subscribers love how little he seems to care about his channel, while still having strong opinions about the state of tech.


Macros | |
| #define | ID_SUPC ( 0) |
| Supply Controller (SUPC) More... | |
| #define | ID_RSTC ( 1) |
| Reset Controller (RSTC) More... | |
| #define | ID_RTC ( 2) |
| Real Time Clock (RTC) More... | |
| #define | ID_RTT ( 3) |
| Real Time Timer (RTT) More... | |
| #define | ID_WDT ( 4) |
| Watchdog Timer (WDT) More... | |
| #define | ID_PMC ( 5) |
| Power Management Controller (PMC) More... | |
| #define | ID_EFC ( 6) |
| Enhanced Embedded Flash Controller (EFC) More... | |
| #define | ID_UART0 ( 7) |
| UART 0 (UART0) More... | |
| #define | ID_UART1 ( 8) |
| UART 1 (UART1) More... | |
| #define | ID_PIOA (10) |
| Parallel I/O Controller A (PIOA) More... | |
| #define | ID_PIOB (11) |
| Parallel I/O Controller B (PIOB) More... | |
| #define | ID_USART0 (13) |
| USART 0 (USART0) More... | |
| #define | ID_USART1 (14) |
| USART 1 (USART1) More... | |
| #define | ID_USART2 (15) |
| USART 2 (USART2) More... | |
| #define | ID_PIOD (16) |
| Parallel I/O Controller D (PIOD) More... | |
| #define | ID_HSMCI (18) |
| Multimedia Card Interface (HSMCI) More... | |
| #define | ID_TWIHS0 (19) |
| Two Wire Interface 0 HS (TWIHS0) More... | |
| #define | ID_TWIHS1 (20) |
| Two Wire Interface 1 HS (TWIHS1) More... | |
| #define | ID_SPI0 (21) |
| Serial Peripheral Interface 0 (SPI0) More... | |
| #define | ID_SSC (22) |
| Synchronous Serial Controller (SSC) More... | |
| #define | ID_TC0 (23) |
| Timer/Counter 0 (TC0) More... | |
| #define | ID_TC1 (24) |
| Timer/Counter 1 (TC1) More... | |
| #define | ID_TC2 (25) |
| Timer/Counter 2 (TC2) More... | |
| #define | ID_AFEC0 (29) |
| Analog Front End 0 (AFEC0) More... | |
| #define | ID_DACC (30) |
| Digital To Analog Converter (DACC) More... | |
| #define | ID_PWM0 (31) |
| Pulse Width Modulation 0 (PWM0) More... | |
| #define | ID_ICM (32) |
| Integrity Check Monitor (ICM) More... | |
| #define | ID_ACC (33) |
| Analog Comparator (ACC) More... | |
| #define | ID_USBHS (34) |
| USB Host / Device Controller (USBHS) More... | |
| #define | ID_AFEC1 (40) |
| Analog Front End 1 (AFEC1) More... | |
| #define | ID_TWIHS2 (41) |
| Two Wire Interface 2 HS (TWIHS2) More... | |
| #define | ID_SPI1 (42) |
| Serial Peripheral Interface 1 (SPI1) More... | |
| #define | ID_QSPI (43) |
| Quad I/O Serial Peripheral Interface (QSPI) More... | |
| #define | ID_UART2 (44) |
| UART 2 (UART2) More... | |
| #define | ID_UART3 (45) |
| UART 3 (UART3) More... | |
| #define | ID_UART4 (46) |
| UART 4 (UART4) More... | |
| #define | ID_TC9 (50) |
| Timer/Counter 9 (TC9) More... | |
| #define | ID_TC10 (51) |
| Timer/Counter 10 (TC10) More... | |
| #define | ID_TC11 (52) |
| Timer/Counter 11 (TC11) More... | |
| #define | ID_AES (56) |
| AES (AES) More... | |
| #define | ID_TRNG (57) |
| True Random Generator (TRNG) More... | |
| #define | ID_XDMAC (58) |
| DMA (XDMAC) More... | |
| #define | ID_ISI (59) |
| Camera Interface (ISI) More... | |
| #define | ID_PWM1 (60) |
| Pulse Width Modulation 1 (PWM1) More... | |
| #define | ID_RSWDT (63) |
| Reinforced Secure Watchdog Timer (RSWDT) More... | |
| #define | ID_PERIPH_COUNT (64) |
| Number of peripheral IDs. More... | |
| #define ID_ACC (33) |
Analog Comparator (ACC)
| #define ID_AES (56) |
AES (AES)
| #define ID_AFEC0 (29) |
Analog Front End 0 (AFEC0)
| #define ID_AFEC1 (40) |
Analog Front End 1 (AFEC1)
| #define ID_DACC (30) |
Digital To Analog Converter (DACC)
| #define ID_EFC ( 6) |
Enhanced Embedded Flash Controller (EFC)
| #define ID_HSMCI (18) |
Multimedia Card Interface (HSMCI)
| #define ID_ICM (32) |
Integrity Check Monitor (ICM)
| #define ID_ISI (59) |
Camera Interface (ISI)
| #define ID_PERIPH_COUNT (64) |
Number of peripheral IDs.
| #define ID_PIOA (10) |
Parallel I/O Controller A (PIOA)
| #define ID_PIOB (11) |
Parallel I/O Controller B (PIOB)
| #define ID_PIOD (16) |
Parallel I/O Controller D (PIOD)
| #define ID_PMC ( 5) |
Power Management Controller (PMC)
| #define ID_PWM0 (31) |
Pulse Width Modulation 0 (PWM0)
| #define ID_PWM1 (60) |
Pulse Width Modulation 1 (PWM1)
| #define ID_QSPI (43) |
Quad I/O Serial Peripheral Interface (QSPI)
| #define ID_RSTC ( 1) |
Reset Controller (RSTC)
| #define ID_RSWDT (63) |
Reinforced Secure Watchdog Timer (RSWDT)
| #define ID_RTC ( 2) |
Real Time Clock (RTC)
| #define ID_RTT ( 3) |
Real Time Timer (RTT)
| #define ID_SPI0 (21) |
Serial Peripheral Interface 0 (SPI0)
| #define ID_SPI1 (42) |
Serial Peripheral Interface 1 (SPI1)
| #define ID_SSC (22) |
Synchronous Serial Controller (SSC)
| #define ID_SUPC ( 0) |
Supply Controller (SUPC)
| #define ID_TC0 (23) |
Timer/Counter 0 (TC0)
| #define ID_TC1 (24) |
Timer/Counter 1 (TC1)
| #define ID_TC10 (51) |
Timer/Counter 10 (TC10)
| #define ID_TC11 (52) |
Timer/Counter 11 (TC11)
| #define ID_TC2 (25) |
Timer/Counter 2 (TC2)
| #define ID_TC9 (50) |
Timer/Counter 9 (TC9)
| #define ID_TRNG (57) |
True Random Generator (TRNG)
| #define ID_TWIHS0 (19) |
Two Wire Interface 0 HS (TWIHS0)
| #define ID_TWIHS1 (20) |
Two Wire Interface 1 HS (TWIHS1)
| #define ID_TWIHS2 (41) |
Two Wire Interface 2 HS (TWIHS2)
| #define ID_UART0 ( 7) |
UART 0 (UART0)
| #define ID_UART1 ( 8) |
UART 1 (UART1)
| #define ID_UART2 (44) |
UART 2 (UART2)
| #define ID_UART3 (45) |
UART 3 (UART3)
| #define ID_UART4 (46) |
UART 4 (UART4)
| #define ID_USART0 (13) |
USART 0 (USART0)
| #define ID_USART1 (14) |
USART 1 (USART1)
| #define ID_USART2 (15) |
USART 2 (USART2)
| #define ID_USBHS (34) |
USB Host / Device Controller (USBHS)
| #define ID_WDT ( 4) |
Watchdog Timer (WDT)
| #define ID_XDMAC (58) |
DMA (XDMAC)


Roadmap
The GOV.UK Notify roadmap shows the things we’re working on and when we hope to have them ready for you to use.
Notify is in public beta. This means it’s fully operational and supported, but we’re regularly adding new features. The roadmap is a guide to what we have planned, but some things might change.
You can contact us for more detail about these features, or to suggest something else you’d like Notify to offer.
Sending and receiving messages
February to March 2018
- Sending pre-compiled text messages and emails through templates
- Sending of pre-compiled letters
April 2018 onwards
- Additional letter formatting options
- Customised expiry time for text messages
- Distributed delivery of notifications over a period of time
- Automated content scanning for banned content
- Checking mobile numbers are valid before sending
- Sending of pre-compiled text messages and emails without templates
- Publishing patterns for effective notifications
- Saving work in progress/draft templates
- Exploring other channels (Facebook messenger, WhatsApp, Push Notifications)
Managing your account
February to March 2018
- Caseworking interface
- Organisational view of service activity
April 2018 onwards
- Allow multiple teams within a service
- Add NHS and Parliament email sending domains
- Let service owners to update team members phone number or email address
- Let teams to enable or disable features themselves
- Retire version 1 of the API
- Add public endpoints for usage and reporting
- Self-service access to invoices
- Additional payment methods for teams using Notify


{{ define "main" }}
{{ $mainSections := .Site.Params.mainSections | default (slice "post") }}
{{/* Create a variable with that section to use in multiple places. */}}
{{ $section := where .Site.RegularPages "Section" "in" $mainSections }}
{{ $section_count := len $section }}
{{ if ge $section_count 1 }}
{{/* Derive the section name */}}
{{ $section_name := index (.Site.Params.mainSections) 0 }}


McClung lifts Georgetown past Georgia St. 91-83
WASHINGTON (AP) - Mac McClung had 25 points, Omer Yurtseven had a double-double, and Georgetown topped Georgia State 91-83 on Sunday night.
McClung made all 11 of his foul shots and Yurtseven finished with 15 points and 13 rebounds. Josh LeBlanc added 12 points James Akinjo scored 11 points for Georgetown (3-1).
Corey Allen had 21 points for the Panthers (1-3). Josh Linder added 17 points and Justin Roberts and Damon Wilson scored 15 points apiece.
Georgetown faces Texas on Thursday. Georgia State plays Prairie View on Friday.
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
Elements of this story were generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


{{ partial "head.html" . }} {{ partial "nav.html" . }} Contact Us Get in touch with Forest Giant below. {{ partial "contact.html" . }} {{ partial "footer.html" . }}
Get in touch with Forest Giant below.


Artificial Intelligence in Agriculture
By Freddie Miller
AI is neither good nor evil. It's a tool. It's a technology for us to use.
There's no doubt that AI has a bad reputation. Most coverage from the media shows AI stealing our jobs, and vastly outperforming humans driving us to extinction. Some of these claims may be true, however the currently AI does much social good and is extremely useful.
Although AI and Agriculture couldn't seem further apart, the two fields work together very well in a time where crop shortages are a real threat to the world.
Agriculture and farming is one of the oldest and most important professions in the world. Humanity has come a long way over the millennia in how we farm and grow crops with the introduction of various technologies. As the world population continues to grow and land becomes more scarce, people have needed to get creative and become more efficient about how we farm, using less land to produce more crops and increasing the productivity and yield of those farmed acres. Worldwide, agriculture is a $5 trillion industry, and now the industry is turning to AI technologies to help yield healthier crops, control pests, monitor soil and growing conditions, organize data for farmers, help with workload, and improve a wide range of agriculture-related tasks in the entire food supply chain.
AI helping to analyze farm data
Farms produce hundreds of thousands of data points on the ground
daily. With the help of AI, farmers can now analyze a variety of
things in real time such as weather conditions, temperature, water
usage or soil conditions collected from their farm to better inform
their decisions. For example, AI technologies help farmers optimize
planning to generate more bountiful yields by determining crop
choices, the best hybrid seed choices and resource utilization.
AI systems are also helping to improve harvest quality and accuracy --
what is known as precision agriculture. Precision agriculture uses AI
technology to aid in detecting diseases in plants, pests, and poor
plant nutrition on farms. AI sensors can detect and target weeds and
then decide which herbicides to apply within the right buffer zone.
This helps to prevent over application of herbicides and excessive
toxins that find their way in our food.
Farmers are also using AI to create seasonal forecasting models to
improve agricultural accuracy and increase productivity. These models
are able to predict upcoming weather patterns months ahead to assist
decisions of farmers. Seasonal forecasting is particularly valuable
for small farms in developing countries as their data and knowledge
can be limited. Keeping these small farms operational and growing
bountiful yields is important as these small farms produce 70% of the
world’s crops.
In addition to ground data, farmers are also taking to the sky to
monitor the farm. Computer vision and deep learning algorithms process
data captured from drones flying over their fields. From drones, AI
enabled cameras can capture images of the entire farm and analyze the
images in near-real time to identify problem areas and potential
improvements. Unmanned drones are able to cover far more land in much
less time than humans on foot allowing for large farms to be monitored
more frequently.


Home
About
Posts
GitHub
Projects
Hi, I'm Alex
And welcome to my blog!
Blog Posts
Latest Blog Posts
Foundation Reflections
Click to read more >>
Problem Solving
Click to read more >>
Neuroplasticity and Growth Mindset
Click to read more >>
View More Posts


| Package | Description |
|---|---|
| com.hcl.domino.admin | |
| com.hcl.domino.keep | |
| com.hcl.domino.keep.admin | |
| com.hcl.domino.keep.cache | |
| com.hcl.domino.keep.cache.impl |
Implementation classes, for various cache objects
|
| com.hcl.domino.keep.config | |
| com.hcl.domino.keep.dbfunctions |
Collection of classes with static functions to simplify the interaction of business logic with the various aspects of the NSF elements: - Forms - Views - Design etc.
|
| com.hcl.domino.keep.dbrequests | |
| com.hcl.domino.keep.dbrequests.admin | |
| com.hcl.domino.keep.dbrequests.data | |
| com.hcl.domino.keep.dbrequests.designcode | |
| com.hcl.domino.keep.dbrequests.identity | |
| com.hcl.domino.keep.dbrequests.pim |
Back-end classed containing PIM interactions on HCL Domino Mail databases - eMail - Calendar - Contacts - Tasks - Journal (a.k.a Notes)
|
| com.hcl.domino.keep.dbrequests.pim.mapper |
Helper classes to map PIM data types from/to HCL Domino’s internal format Input/Output are jMap compliant JSON structures following RFC8620, RFC8621 ff
|
| com.hcl.domino.keep.eventbus | |
| com.hcl.domino.keep.exceptions | |
| com.hcl.domino.keep.handlers.admin |
Contains HTTP side handlers for all KEEP admin API endpoints
that don't use JSON / in/out
|
| com.hcl.domino.keep.handlers.core | |
| com.hcl.domino.keep.handlers.pim | |
| com.hcl.domino.keep.info | |
| com.hcl.domino.keep.messages | |
| com.hcl.domino.keep.metrics | |
| com.hcl.domino.keep.nativeimage |
Helper classes to remove (or contain) the use of Class.forName which is problematic for GraalVM Native images
|
| com.hcl.domino.keep.platform | |
| com.hcl.domino.keep.saml |
Classes around the SAML interaction of Keep with the Domino IdVault to access decryption and signing methods
|
| com.hcl.domino.keep.security | |
| com.hcl.domino.keep.security.acl | |
| com.hcl.domino.keep.tools | |
| com.hcl.domino.keep.validation |
Classes for data validation e.g OpenAPI schema outside the OpenAPI router
|
| com.hcl.domino.keep.verticles |
All Verticles, short of launch that constitute the Keep Runtime
|


Watersports
Book Your Activity Now!
We are Zooka, The Most Popular dive and watersports provider in Tanjung Benoa, Bali
We have a lot of underwater and watersport activities with very cheap and suitable price
Explore Category
Introducing Zooka's Activities
Amazing activities make you enjoy the sea and the beach at Tanjung - Bali
Recomended for you
Banana Boat
IDR. 700.000
IDR. 100.000


Getting Started
Installation
Install R and RStudio
The first dependency of the project is R because everything is made on it. All the development was done on a unix compatible system so you can expect some inconsistencies if you are gonna use this project on another box.
# Example using a Ubuntu Trusty box
sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9
sudo add-apt-repository 'deb [arch=amd64,i386] https://cran.rstudio.com/bin/linux/ubuntu trusty/'
sudo apt-get update
sudo apt-get install r-base
sudo apt-get install gdebi-core
wget https://download1.rstudio.org/rstudio-1.1.383-i386.deb
sudo gdebi rstudio-1.1.383-i386.deb
# Using macOS
brew install r
brew cask install rstudio
Install Shiny
Shiny is a web framework for R and you can install it using the standard method for getting the packages.
install.packages("shiny")
Install project dependencies
Once you have the standard environment to start shiny apps the next step is adding the related packages to the project.
install.packages("shinydashboard",
"leaflet",
"dplyr",
"spdplyr",
"viridis",
"reshape2")
Description of packages
- shinydashboard builds the UI and integrates the Twitter Bootstrap framework using a AdminLTE control panel template.
- leaflet is the new standard method to show maps on the web. In the app adds the legends, layer controls, tiles from mapbox and shapes.
- dplyr permits the operations over data.frames.
- spdplyr adds support for spatial polygons to dplyr.
- viridis is a nice color palette with good contrast.
- reshape2 add more operations over data.frames.
Now you’re ready to run the app locally! Just press the “Run app!” button in RStudio and boom!


Plan Two
- Item one
- Item two
'eye-close'
icon is clicked, add the class 'item--disabled'
to that item. 'trash'
icon is clicked, delete that item from the DOM and console.log
its 'id'
. Use jQuery to complete the tasks below. The best answers will have the following characteristics:
projects
and items
are added. Do not change the markup but feel free to add classes
, ids
, or data-
attributes as needed.


--- layout: post title: ! 'Tip: Fabricator 1.0 and memoization' lang: pt_BR tags: - ruby - rails - fabricator ---
Last night I faced a bug on my tests using Fabricator and decided to share it. It took some time to solve a problem using memoizations and Fabricator together.
Some context:
I got users on teams, and teams has many memberships. I wanted to cache the accepted members to improve performace. When I was testing, the cache always returned empty, even changing the name of variables or using diferent techniques to cache.
And I became suprised when I tested it the memoized code on console and it was running perfectly
The fabricator of user is something like that:
Fabricator(:user) do
name { Faker::Name.name}
email { |person|<EMAIL_ADDRESS>}
password “123”
teams [Fabricate(:team)]
end
And the Fabricator of Team is:
Fabricator(:team) do
name { Faker::Name.name }
end
The problem:
I was using the already created team by the fabricator relationship to create more memberships. But somehow, when I cached things, either using instance variables or ActiveSupport::Memoizeable I always got an empty {}.
So, after turning this:
@user = Fabricate(:user)
@second_user = Fabricate(:user, teams: [])
@team = @user.teams.first
@team.members « @second_user
to that:
@user = Fabricate(:user)
@second_user = Fabricate(:user, teams: [])
@team = @user.teams.create!({ name: “Teste”})
@team.members « @second_user
things worked like a charm on the tests.
(:


@(message: String, kittens: Seq[Kitten])@main("Reactive Kitten Proxy") {
@message
Kittens stay on this particular scratching post for 24 hours before leaving for new adventures on the internets.
Added on: @k.date
Source


{%extends "registration/base.html"%} {% load bootstrap4 %} {% block content %}
Incorrect password
Don't have an account? sign-up
Get the app.


...is referring to medical efficiency ribbon, as well as maintenance ribbon is placed among cumulative ribbons (no medal related). With that fixed, that whole ribbon layout will be compact...
BrainFooLong
Administrator
Thanks, but this bug is reported 2 times ago :-)
I mark this as duplicated request.


Agency reports detail deadly N Carolina explosion, response
by Associated PressDURHAM, N.C. (AP) — Authorities in North Carolina have analyzed their response to a natural gas explosion that killed two people, injured two dozen others, leveled one building and damaged others, some of which have been condemned.
The city and county of Durham last week released fire and emergency management reports that provide a timeline of the April 10 explosion since ruled accidental.
Authorities were alerted to the smell of gas at the busy shopping district at 9:11 a.m. Finding nothing, responders left. A report of a cut gas line called them back about an hour later, and evacuations were underway when the gas ignited. The leak was stopped after another hour.
The reports recommend improved coordination and increased staffing, training and standard compliance, such as those requiring fire personnel wear personal protective equipment.


(This is a now page, and if you have your own site, you should make one, too.)
A brief description.
Updated DATE, from LOCATION.
Follow @YOUR_NAME :


Send funds from you to another accountId
Info to provide a sender that will be sending funds to you
Public addressId QR-code Compatible with Centaurus:
Recent Fund Tranfer Transaction History on this accountId (sortable)
| TX AccountID | Tx type | Asset Code | Amount | Balance | Memo | Date/Time |
|---|---|---|---|---|---|---|
List all Asset Issuer holdings held by this AccountId (sortable)
| Asset Code | Issuer AccountID | Balance | Limit |
|---|---|---|---|
Import or Export a stellar keyset from browser local or systsem file to be used in transactions
Advanced transactions include adding trustlines, TX signing of multi sig transactions and other advanced functions
Change default network settings including default horizon/mss-server address pointing, mss-server/horizon modes, Live/Testnet/custom network pass phrase and page settings for top page URL of image and top page title.
Also refresh balance:
Add a TrustLine to this your account or Allow Trust from the issuer account
Note: for Allow Trust you must have the issuer setup with Authorization required (0x1) and Authorization revocable (0x2) done in stellar lab
Sign a multi sig base64 tx envelope
Merge all this accounts assets into a target accountId, destination target account must be empty with no assets or XLM. Update_fed_email will modify federation lookup for whatever is now seen in merge destination target public address, must also have secret key to update fed
Advanced Account Settings including:Add signers, Account Signing Threshold Weight settings, Inflation destination, Home Domain Settings. Caution be careful with threshold setting as you can lock yourself out of your own account
Tools that allow trading of stellar assets for other assets
History of Asset Trade transactions on this AccountId (sortable)
| Offer ID | Sold Asset | Sold Issuer | Sold Amount | Bought Asset | Bought Issuer | Bought Amount | Date/Time |
|---|---|---|---|---|---|---|---|
Presently open orders setup and running on this accountId (sortable)
| Offer ID | Selling Asset | Selling Issuer | Amount | Price | You Get | Buying Asset | Buying Issuer | Cancel |
|---|---|---|---|---|---|---|---|---|
Search Paths of offers with a destination address for a destination asset pair at a set amount
This uses present selected account as source address
| Destination Asset | Destination Issuer | Destination Amount | Path Asset | Path Issuer | Source Asset | Source Issuer | Source Amount |
|---|---|---|---|---|---|---|---|
View orderbook summary of all offers with the assets selling and buying
These are all prently open orders on the network
Better bid will setup an order in Create Offers that is +- precent more or less than your results seen in OrderBook tables seen bellow
Example if you set Better_Bid to -10% on a bid it will prepare to setup an order at a bid price -10% less than the best price seen in Orderbook
Example if you set Better_Ask to 10 on an ask it will prepare to setup an order at an ask price +10% more than best price seen in Orderbook
Bid Table
| Bid | Amount | Value |
|---|---|---|
Ask Table
| Ask | Amount | Value |
|---|---|---|
Create an order offer of an asset issuer set for another asset issuer set presently held and trusted by this accountId. To sell or buy native Lumens use XLM as Asset_code with no Asset_issuer (blank)


Guidelines:
- Image:
- MUST have a 1x1 aspect ratio.
- Must be tasteful and appropiate.
- Tags:
- Only one (1) tag per field, press the green + to add more tags.
- Do NOT inlcude commas , in your tags.
- Make your tags descriptive, specially of the item's capabilities and limitations.


About Me
Troubleshooting and Manual Testing
Professional QA experience helps me know when to prod and where to "break" products
Design
Understanding User Experience is key
Development
Experience Programming the Code Base
Professional QA experience helps me know when to prod and where to "break" products
Understanding User Experience is key
Experience Programming the Code Base


Use this function to render a chart as an htmlwidget.
vegalite(chart, tooltip = vega_tooltip(), embed = NULL, width = NULL, height = NULL)
| chart | an Altair plot object |
|---|---|
| tooltip |
|
| embed |
|
| width |
|
| height |
|
This function is called vegalite()
is because it returns an htmlwidget
that uses the Vega-Lite JavaScript library, rather than the
Altair Python package.
To include a tooltip in your chart-rendering, use one of the
vega_tooltip()
functions with the tooltip
argument.
Keep in mind that you can include exactly one tooltip specification
and exactly one chart specification
in a rendering; the tooltip will be applied to the entire chart,
even if it is a compound chart.
To specify embedding-options, use the vega_embed()
function with the
embed
argument. Its most-important options are:
renderer
, to specify "canvas"
(default) or "svg"
actions
, to specify action-links
for export
, source
, and editor
If actions
is TRUE
(default) or FALSE
, all the links
are shown (or not). Use a named list to be more specific, see
vega_embed()
and only_actions()
.
If embed
is NULL
, vegalite()
sets embed
to the value of
getOption("altair.embed_options")
. If that is null, the
vega-embed
defaults are used.
The arguments width
and height
are used to override the width and height
determined using the chart
specification. However, there are some
important provisions:
Specifying width
and height
in vegalite()
is
effective only for single-view charts and layered charts.
It will not work for contatenated, faceted, or repeated charts.
In the chart specification, the default interpretation of width and height
is to describe the dimensions of the
plotting rectangle, not including the space used by the axes, labels,
etc. When width
and height
are specified using vegalite()
,
the meanings change to describe the dimensions of the entire rendered chart,
including axes, labels, etc.
Keep in mind that the action-links are not a part of the rendered chart, so you may have to account for them yourself. You might expect the height of the action-links to be 25-30 pixels.
plot_basic <- alt$Chart( r_to_py(mtcars) )$encode( x = "mpg:Q", y = "hp:Q", color = "cyl:N" )$mark_point()# NOT RUN { # default: no tooltips, rendered using canvas, # all action-links, chart-specification determines size vegalite(plot_basic) # tooltip showing encoding variables vegalite(plot_basic, tooltip = vega_tooltip_encoding()) # render using SVG vegalite(plot_basic, embed = vega_embed(renderer = "svg")) # do not include action-links vegalite(plot_basic, embed = vega_embed(actions = FALSE)) # specify dimensions of rendered-chart vegalite(plot_basic, width = 300, height = 200) # }


|
gtsam 4.1.1
gtsam
|
Advanced Interface | |
| template<class BAYESRTEE , class GRAPH > | |
| class | EliminatableClusterTree |
| class | boost::serialization::access |
| Serialization function. | |
| void | saveGraph (std::ostream &s, sharedClique clique, const KeyFormatter &keyFormatter, int parentnum=0) const |
| private helper method for saving the Tree to a text file in GraphViz format | |
| void | getCliqueData (sharedClique clique, BayesTreeCliqueData *stats) const |
| Gather data on a single clique. | |
| void | removeClique (sharedClique clique) |
| remove a clique: warning, can result in a forest | |
| void | fillNodesIndex (const sharedClique &subtree) |
| Fill the nodes index for a subtree. | |
| template<class CONTAINER > | |
| Key | findParentClique (const CONTAINER &parents) const |
| Find parent clique of a conditional. More... | |
| void | clear () |
| Remove all nodes. | |
| void | deleteCachedShortcuts () |
| Clear all shortcut caches - use before timing on marginal calculation to avoid residual cache data. | |
| void | removePath (sharedClique clique, BayesNetType *bn, Cliques *orphans) |
| Remove path from clique to root and return that path as factors plus a list of orphaned subtree roots. More... | |
| void | removeTop (const KeyVector &keys, BayesNetType *bn, Cliques *orphans) |
| Given a list of indices, turn "contaminated" part of the tree back into a factor graph. More... | |
| Cliques | removeSubtree (const sharedClique &subtree) |
| Remove the requested subtree. | |
| void | insertRoot (const sharedClique &subtree) |
| Insert a new subtree with known parent clique. More... | |
| void | addClique (const sharedClique &clique, const sharedClique &parent_clique=sharedClique()) |
| add a clique (top down) | |
| void | addFactorsToGraph (FactorGraph< FactorType > *graph) const |
| Add all cliques in this BayesTree to the specified factor graph. | |
Testable | |
| bool | equals (const This &other, double tol=1e-9) const |
| check equality | |
| void | print (const std::string &s="", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const |
| print | |
Public Member Functions | |
Standard Interface | |
| size_t | size () const |
| number of cliques | |
| bool | empty () const |
| Check if there are any cliques in the tree. | |
| const Nodes & | nodes () const |
| return nodes | |
| const sharedNode | operator[] (Key j) const |
| Access node by variable. | |
| const Roots & | roots () const |
| return root cliques | |
| const sharedClique & | clique (Key j) const |
| alternate syntax for matlab: find the clique that contains the variable with Key j | |
| BayesTreeCliqueData | getCliqueData () const |
| Gather data on all cliques. | |
| size_t | numCachedSeparatorMarginals () const |
| Collect number of cliques with cached separator marginals. | |
| sharedConditional | marginalFactor (Key j, const Eliminate &function=EliminationTraitsType::DefaultEliminate) const |
| Return marginal on any variable. More... | |
| sharedFactorGraph | joint (Key j1, Key j2, const Eliminate &function=EliminationTraitsType::DefaultEliminate) const |
| return joint on two variables Limitation: can only calculate joint if cliques are disjoint or one of them is root | |
| sharedBayesNet | jointBayesNet (Key j1, Key j2, const Eliminate &function=EliminationTraitsType::DefaultEliminate) const |
| return joint on two variables as a BayesNet Limitation: can only calculate joint if cliques are disjoint or one of them is root | |
| void | saveGraph (const std::string &s, const KeyFormatter &keyFormatter=DefaultKeyFormatter) const |
| Read only with side effects. More... | |
Public Types | |
| typedef CLIQUE | Clique |
| The clique type, normally BayesTreeClique. | |
| typedef boost::shared_ptr< Clique > | sharedClique |
| Shared pointer to a clique. | |
| typedef Clique | Node |
| Synonym for Clique (TODO: remove) | |
| typedef sharedClique | sharedNode |
| Synonym for sharedClique (TODO: remove) | |
| typedef CLIQUE::ConditionalType | ConditionalType |
| typedef boost::shared_ptr< ConditionalType > | sharedConditional |
| typedef CLIQUE::BayesNetType | BayesNetType |
| typedef boost::shared_ptr< BayesNetType > | sharedBayesNet |
| typedef CLIQUE::FactorType | FactorType |
| typedef boost::shared_ptr< FactorType > | sharedFactor |
| typedef CLIQUE::FactorGraphType | FactorGraphType |
| typedef boost::shared_ptr< FactorGraphType > | sharedFactorGraph |
| typedef FactorGraphType::Eliminate | Eliminate |
| typedef CLIQUE::EliminationTraitsType | EliminationTraitsType |
| typedef FastList< sharedClique > | Cliques |
| A convenience class for a list of shared cliques. | |
| typedef ConcurrentMap< Key, sharedClique > | Nodes |
| Map from keys to Clique. | |
| typedef FastVector< sharedClique > | Roots |
| Root cliques. | |
Protected Types | |
| typedef BayesTree< CLIQUE > | This |
| typedef boost::shared_ptr< This > | shared_ptr |
Protected Member Functions | |
| This & | operator= (const This &other) |
| Assignment operator. | |
Standard Constructors | |
| BayesTree () | |
| Create an empty Bayes Tree. | |
| BayesTree (const This &other) | |
| Copy constructor. | |
Protected Attributes | |
| Nodes | nodes_ |
| Map from indices to Clique. | |
| Roots | roots_ |
| Root cliques. | |
| Key gtsam::BayesTree< CLIQUE >::findParentClique | ( | const CONTAINER & | parents | ) | const |
Find parent clique of a conditional.
It will look at all parents and return the one with the lowest index in the ordering.
| void gtsam::BayesTree< CLIQUE >::insertRoot | ( | const sharedClique & | subtree | ) |
Insert a new subtree with known parent clique.
This function does not check that the specified parent is the correct parent. This function updates all of the internal data structures associated with adding a subtree, such as populating the nodes index.
| BayesTree< CLIQUE >::sharedConditional gtsam::BayesTree< CLIQUE >::marginalFactor | ( | Key | j, |
| const Eliminate & | function = EliminationTraitsType::DefaultEliminate |
||
| ) | const |
Return marginal on any variable.
Note that this actually returns a conditional, for which a solution may be directly obtained by calling .solve() on the returned object. Alternatively, it may be directly used as its factor base class. For example, for Gaussian systems, this returns a GaussianConditional, which inherits from JacobianFactor and GaussianFactor.
| void gtsam::BayesTree< CLIQUE >::removePath | ( | sharedClique | clique, |
| BayesNetType * | bn, | ||
| Cliques * | orphans | ||
| ) |
Remove path from clique to root and return that path as factors plus a list of orphaned subtree roots.
Used in removeTop below.
| void gtsam::BayesTree< CLIQUE >::removeTop | ( | const KeyVector & | keys, |
| BayesNetType * | bn, | ||
| Cliques * | orphans | ||
| ) |
Given a list of indices, turn "contaminated" part of the tree back into a factor graph.
Factors and orphans are added to the in/out arguments.
| void gtsam::BayesTree< CLIQUE >::saveGraph | ( | const std::string & | s, |
| const KeyFormatter & | keyFormatter = DefaultKeyFormatter |
||
| ) | const |
Read only with side effects.
saves the Tree to a text file in GraphViz format