This article mainly introduces the full picture of a data analysis pipeline by showing the simple data import, feature engineering, and exploratory data analysis processes. The data used this time is relatively clean, so basically no data cleaning has been performed except for the analysis part of this article.
The entire working process is divided into three parts: 10-read-in, 20-feature-engineering, 30-exploratory-data-analysis.
10-read-in
Import libraries.
library(readxl)
library(tidyverse)
library(janitor)
library(ggplot2)
library(tidytext)
library(wordcloud2)
library(RColorBrewer)
Library introduction (The parts used in this pipeline):
- readxl: read in data in Excel file.
- tidyverse: help manage the data frame in tidy sentences.
- janitor: clean the column names.
- ggplot2: create plots.
- tidytext: import stop words data for text analysis and get word sentiment dictionary.
- wordcloud2: create word cloud graph.
- RColorBrewer: set color palette for graphes.
Read in raw data and make the column names.
for(i in seq(2000,2009,1)){
df <- read_excel("Analysis Exercise.xls", sheet = as.character(i))
names(df) <- df[1,]
df <- df[-1,] %>%
clean_names() %>%
mutate(year = i)
assign(paste0("df_", i), df)
}
In this Excel file, the data of different years was divided into sub-tables, therefore, I need to read in them one by one.
And the column names in each table were not in the first row but in the second row. So I removed the first row and transferred the second row to be the column names. Then, I used the clean_names()
function to make the names lowercase without blank space.
The function assign
can help me use different names to reserve the data.
After that, I merged all of the data.
df <-
bind_rows(df_2000, df_2001, df_2002, df_2003, df_2004, df_2005, df_2006, df_2007, df_2008, df_2009)
Import the stop words for text analysis in the EDA part.
data("stop_words")
20-feature-engineering
This data set is clean enough and I don’t need to clean the data as normal.
Basic feature engineering on raw merged data:
df <- df %>%
mutate(weeks_at_number_1 = as.integer(weeks_at_number_1),
weeks_top_10 = as.integer(weeks_top_10),
weeks_top_25 = as.integer(weeks_top_25),
weeks_top_50 = as.integer(weeks_top_50),
peak_position = as.integer(peak_position),
bonus_weeks = as.integer(bonus_weeks),
sub_points = as.integer(sub_points),
peak_points = as.integer(peak_points),
total_points = as.integer(total_points),
peak_year = as.integer(peak_year),
debut_date = as.integer(debut_date),
debut_date = as.Date(debut_date, origin="1899-12-30"),
peak_date = as.integer(peak_date),
peak_date = as.Date(peak_date, origin="1899-12-30"),
weeks_to_reach_peak = as.integer(weeks_to_reach_peak),
year=as.factor(year)
)
In this chunk, I only need to make all of the columns have the right data type.
Hint: In the date part, because Excel save the date by count the
distance between the date and 1900-01-01, the date columns in the raw
data are the days. I need to transfer them to be the real date. The
origin
attribute should be 1900-01-01, but due to 1900-leap-year-bug
of Excel, use 1899-12-30 can get the right answer.
30-exploratory-data-analysis
In this part, I will answer the following questions to finish the exploratory data analysis(EDA) part.
What percent of songs that chart never make the Top 10?
For all years:
never_top10 <- df %>%
filter(weeks_top_10 == 0)
nrow(never_top10)/nrow(df)
## [1] 0.6802455
Time series:
never_top10_year <- df %>%
filter(weeks_top_10 == 0) %>%
group_by(year) %>%
summarise(never_top10_number = n())
all_year <- df %>%
group_by(year) %>%
summarise(whole_number = n())
never_top10_year["whole_number"] <- all_year["whole_number"]
never_top10_year %>%
mutate(never_top10_ratio = never_top10_number/whole_number) %>%
ggplot() +
geom_col(aes(x=year, y=never_top10_ratio),fill="#125FA0", width = 0.7)+
theme_classic()+
labs(x="\nYear", y="Ratio of Never-Top10\n")
What were the top 10 songs of the decade 2000-2009?
df %>%
arrange(desc(total_points)) %>%
select(song_title, artist, year, total_points) %>%
head(10)
## # A tibble: 10 x 4
## song_title artist year total_points
## <chr> <chr> <fct> <int>
## 1 GLAMOROUS FERGIE featuring LUDACRIS 2007 1335
## 2 BEFORE HE CHEATS UNDERWOOD, CARRIE 2007 1192
## 3 NO SUCH THING MAYER, JOHN 2002 1167
## 4 CITY LOVE MAYER, JOHN 2003 1167
## 5 VIDEO INDIA.ARIE 2002 1129
## 6 WHERE IS THE LOVE? BLACK EYED PEAS featuring J… 2003 1111
## 7 TWO WEEKS FROM TWENTY YELLOWCARD 2005 1111
## 8 AMERICAN BOY ESTELLE featuring KANYE WEST 2008 1072
## 9 TIME OF YOUR LIFE (GOOD… GREEN DAY 2006 1040
## 10 SOMEONE TO CALL MY LOVER JACKSON, JANET 2001 1012
Who was the top artist of the decade 2000-2009?
(Who were the top 10 artists of the decade 2000-2009?)
df %>%
group_by(artist) %>%
summarise(sum_total_points = sum(total_points, na.rm = TRUE)) %>%
arrange(desc(sum_total_points)) %>%
head(10)
## # A tibble: 10 x 2
## artist sum_total_points
## <chr> <int>
## 1 MAYER, JOHN 6861
## 2 JACKSON, JANET 6049
## 3 PANIC AT THE DISCO 4572
## 4 BLACK EYED PEAS 4481
## 5 CAREY, MARIAH 4470
## 6 GREEN DAY 4378
## 7 CLARKSON, KELLY 4016
## 8 UNDERWOOD, CARRIE 3762
## 9 PINK 3668
## 10 MAROON 5 3604
Based on the chart data, what artist(s) would you call “The Beatles” of the decade 2000-2009?
Actually, this question is really difficult to answer, because “The Beatles” has various meanings according to different interpretations.
However, we can try to give some directions by analyzing the number of songs on the chart and the mean point of the songs on the chart of each artist.
df %>%
group_by(artist) %>%
summarise(song_number = n()) %>%
arrange(desc(song_number)) %>%
head(10)
## # A tibble: 10 x 2
## artist song_number
## <chr> <int>
## 1 SPEARS, BRITNEY 21
## 2 PINK 18
## 3 CAREY, MARIAH 14
## 4 CLARKSON, KELLY 14
## 5 EMINEM 14
## 6 BEYONCE 13
## 7 LAVIGNE, AVRIL 13
## 8 AGUILERA, CHRISTINA 12
## 9 MAYER, JOHN 12
## 10 NELLY 12
df %>%
group_by(artist) %>%
summarise(mean_total_points = mean(total_points)) %>%
arrange(desc(mean_total_points)) %>%
head(10)
## # A tibble: 10 x 2
## artist mean_total_points
## <chr> <dbl>
## 1 FERGIE featuring LUDACRIS 1335
## 2 BLACK EYED PEAS featuring JUSTIN TIMBERLAKE 1111
## 3 ESTELLE featuring KANYE WEST 1072
## 4 LOS LONELY BOYS 928
## 5 LOPEZ, JENNIFER featuring JA RULE 861
## 6 SHAGGY featuring RICARDO DUCENT 829
## 7 FOXX, JAMIE featuring T-PAIN 808
## 8 POWTER, DANIEL 779
## 9 INDIA.ARIE 764.
## 10 EVE featuring GWEN STEFANI 757
What was the most commonly used word in a song title for the decade 2000-2009?
For this question, due to there are many special symbols in the song title, I need to clean the special patterns in the title.
title_df <- df["song_title"]
title_df <- title_df %>% mutate(song_title = str_to_lower(song_title))
title_df$song_title <- gsub(pattern = "\\(", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "\\)", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = ",", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "n't", replacement =" not ", title_df$song_title)
title_df$song_title <- gsub(pattern = "'s", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "'re", replacement =" are ", title_df$song_title)
title_df$song_title <- gsub(pattern = "'m", replacement =" am ", title_df$song_title)
title_df$song_title <- gsub(pattern = "\\\"", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "\\.", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "-", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "_", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "!", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "\\?", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "…", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "[0-9]", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "/", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "&", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = "#", replacement =" ", title_df$song_title)
title_df$song_title <- gsub(pattern = " +", replacement =" ", title_df$song_title)
Then make the data frame become list, which can help the following steps.
title_list <- title_df[["song_title"]]
Split all of the title into scattered words.
title_words <- data.frame()
count <- 1
for (i in title_list) {
title_split <- str_split(string = i, pattern = " ")
for(j in title_split[[1]]){
title_words[count,1] <- j
count <- count + 1
}
}
names(title_words) <- "word"
Clean the different forms of the same word.
title_words <- title_words %>%
mutate(word = case_when(word == "girls" ~ "girl",
word == "angels" ~ "angel",
word == "days" ~ "day",
word == "lovin'" ~ "love",
word == "loving" ~ "love",
word == "loved'" ~ "love",
word == "luv" ~ "love",
word == "waiting" ~ "wait",
word == "does" ~ "do",
word == "lights" ~ "light",
word == "things" ~ "thing",
word == "comes" ~ "come",
word == "dancing" ~ "dance",
word == "dancin'" ~ "dance",
word == "boys" ~ "boy",
word == "burning" ~ "burn",
word == "burnin'" ~ "burn",
word == "calle" ~ "call",
word == "called" ~ "call",
word == "calling" ~ "call",
word == "call" ~ "call",
TRUE ~ word))
Count the number of each word.
word_count <- title_words %>%
filter(word != "") %>%
anti_join(stop_words,by = "word") %>%
group_by(word) %>%
summarise(number = n()) %>%
arrange(desc(number)) %>%
mutate(word = str_to_upper(word))
word_count
## # A tibble: 1,192 x 2
## word number
## <chr> <int>
## 1 LOVE 87
## 2 GIRL 43
## 3 TIME 29
## 4 LIFE 21
## 5 DAY 20
## 6 WORLD 15
## 7 BABY 14
## 8 DANCE 14
## 9 ROCK 14
## 10 SONG 14
## # … with 1,182 more rows
Generate the word cloud by wordcloud2
function.
wordcloud2(head(word_count,100),
size = 1,
fontFamily = "Montserrat",
fontWeight = "Bold",
minRotation = -pi/6,
maxRotation = -pi/6,
rotateRatio = 1,
color = "#125FA0")
Sentiment analysis of titles
In order to analyze the sentiment of the words in the titles, I got the
stop words(meaningless words) dictionary and sentiment dictionary from
the tidytext
library.
sentiments <- get_sentiments("nrc")
df_sentiments <- title_words %>%
filter(word != "") %>%
anti_join(stop_words,by = "word") %>%
left_join(sentiments)
df_sentiments_filtered <- df_sentiments %>%
filter(!is.na(sentiment)) %>%
group_by(sentiment) %>%
summarize(n = n()) %>%
arrange(desc(n))
After removed the stop word, I counted the number of each word in the titles.
df_sentiments_filtered %>%
ggplot(aes(x = reorder(sentiment, n, function(n) -n), y = n)) +
geom_bar(stat = "identity",fill="#125FA0", width = 0.7) +
theme_classic() +
labs(x = "\nSentiments", y="number\n")
And we can also count what is the percentage of positive words in the words that have sentiments.
words_positive <- df_sentiments %>%
filter(sentiment == "positive") %>%
group_by(word) %>%
summarise(n=n())
words_all_sentiment <- df_sentiments %>%
filter(!is.na(sentiment)) %>%
group_by(word) %>%
summarize(n = n()) %>%
arrange(desc(n))
nrow(words_positive)/nrow(words_all_sentiment)
## [1] 0.4294671
Who spent the most weeks at #1 for the decade 2000-2009?
df %>%
group_by(artist) %>%
summarise(top1_time_sum = sum(weeks_at_number_1)) %>%
arrange(desc(top1_time_sum)) %>%
head(1)
## # A tibble: 1 x 2
## artist top1_time_sum
## <chr> <int>
## 1 JACKSON, JANET 39
And there are the songs belong to this artist.
df %>%
filter(artist == "JACKSON, JANET",
weeks_at_number_1 != 0) %>%
arrange(desc(weeks_at_number_1)) %>%
select(song_title, artist, year, weeks_at_number_1)
## # A tibble: 6 x 4
## song_title artist year weeks_at_number…
## <chr> <chr> <fct> <int>
## 1 SOMEONE TO CALL MY LOVER JACKSON, JA… 2001 10
## 2 ALL FOR YOU JACKSON, JA… 2001 10
## 3 "DOESN'T REALLY MATTER (from \"NUTTY… JACKSON, JA… 2000 8
## 4 FEEDBACK JACKSON, JA… 2008 6
## 5 SPECIAL JACKSON, JA… 2000 3
## 6 LUV JACKSON, JA… 2008 2
What song spent the most weeks at #1 for the decade 2000-2009?
df %>%
arrange(desc(weeks_at_number_1)) %>%
select(song_title, artist, year, weeks_at_number_1) %>%
head(1)
## # A tibble: 1 x 4
## song_title artist year weeks_at_number_1
## <chr> <chr> <fct> <int>
## 1 NO SUCH THING MAYER, JOHN 2002 13
What song peaked at #1 the quickest in the decade 2000-2009?
df %>%
filter(weeks_at_number_1 != 0) %>%
arrange(weeks_to_reach_peak) %>%
select(song_title, artist, year, weeks_at_number_1, weeks_to_reach_peak, debut_date, peak_date) %>%
head(1)
## # A tibble: 1 x 7
## song_title artist year weeks_at_number… weeks_to_reach_… debut_date
## <chr> <chr> <fct> <int> <int> <date>
## 1 SOMEONE T… JACKS… 2001 10 2 2001-07-22
## # … with 1 more variable: peak_date <date>
What song took the longest to reach #1 in the decade 2000-2009?
df %>%
filter(weeks_at_number_1 != 0) %>%
arrange(desc(weeks_to_reach_peak)) %>%
select(song_title, artist, year, weeks_at_number_1, weeks_to_reach_peak, debut_date, peak_date) %>%
head(1)
## # A tibble: 1 x 7
## song_title artist year weeks_at_number… weeks_to_reach_… debut_date
## <chr> <chr> <fct> <int> <int> <date>
## 1 BEFORE HE… UNDER… 2007 3 31 2006-11-05
## # … with 1 more variable: peak_date <date>
Solo men, solo women, groups for the decade 2000-2009 - design a graphic that shows the distribution of songs hitting #1
The solo artists have their full name in the data by the format as “LastName, FirstName”, as a result, we can tell whether the data is a single person name by the presence of a comma.
df %>%
mutate(solo_group = case_when(str_detect(string = artist, pattern = ",") ~ "solo",
TRUE ~ "group")) %>%
mutate(solo_group = as.factor(solo_group)) %>%
filter(weeks_at_number_1 != 0) %>%
group_by(solo_group) %>%
summarise(number = n())
## # A tibble: 2 x 2
## solo_group number
## <fct> <int>
## 1 group 92
## 2 solo 84
Actually, there is no built-in pie chart function in ggplot2
. But we
can use bar chart function then twisting the y-axis to the polar
coordinate system to create a pie chart.
df %>%
mutate(solo_group = case_when(str_detect(string = artist, pattern = ",") ~ "solo",
TRUE ~ "group")) %>%
mutate(solo_group = as.factor(solo_group)) %>%
filter(weeks_at_number_1 != 0) %>%
ggplot()+
geom_bar(aes(x=1, fill = solo_group))+
coord_polar(theta = "y")+
theme(axis.text = element_blank(),
axis.title = element_blank(),
axis.ticks = element_blank(),
axis.line = element_blank(),
legend.title = element_blank(),
panel.background = element_blank()
)+
scale_fill_brewer(palette = "Paired")
Solo men, solo women, groups for the decade 2000-2009 - design a graphic that shows the distribution of songs hitting the Top 10
df %>%
mutate(solo_group = case_when(str_detect(string = artist, pattern = ",") ~ "solo",
TRUE ~ "group")) %>%
mutate(solo_group = as.factor(solo_group)) %>%
filter(weeks_top_10 != 0) %>%
group_by(solo_group) %>%
summarise(number = n())
## # A tibble: 2 x 2
## solo_group number
## <fct> <int>
## 1 group 318
## 2 solo 255
df %>%
mutate(solo_group = case_when(str_detect(string = artist, pattern = ",") ~ "solo",
TRUE ~ "group")) %>%
mutate(solo_group = as.factor(solo_group)) %>%
filter(weeks_top_10 != 0) %>%
ggplot()+
geom_bar(aes(x=1, fill = solo_group))+
coord_polar(theta = "y")+
theme(axis.text = element_blank(),
axis.title = element_blank(),
axis.ticks = element_blank(),
axis.line = element_blank(),
legend.title = element_blank(),
panel.background = element_blank()
)+
scale_fill_brewer(palette = "Paired")
What song spent the most time on the charts in the decade 2000-2009)
df %>%
arrange(desc(weeks_top_50)) %>%
select(song_title, artist, year, weeks_top_50) %>%
head(3)
## # A tibble: 3 x 4
## song_title artist year weeks_top_50
## <chr> <chr> <fct> <int>
## 1 TIME OF YOUR LIFE (GOOD RIDDAN…  A sad story.
Is there a correlation between weeks spent on the chart and weeks at #1?
cor(x = df[["weeks_at_number_1"]],
y = df[["weeks_top_50"]])
## [1] 0.471703
df %>%
ggplot(aes(x=weeks_at_number_1, y=weeks_top_50))+
geom_jitter(alpha = 0.3, color = "dodgerblue4")+
geom_smooth(color = "dodgerblue4", se = FALSE)+
theme_classic()+
labs(x="\nWeeks at Top 1", y="Weeks at Top 50\n")
Hint: Project GitHub page: Cashbox-Magazine-song-records-Analysis


Below are the graphs of proportional contribution of aquaculture and fisheries total landings to ocean-based food production in northern Norway. The data is presented for each municipality of the three counties: Nordland, Troms, and Finnmark.
Nordland


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Pinch in each image to see the different sections of the gallery
The Rooms
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The Environment


The modal plugin is a helper utility to make using Modal's programmatically into a single line of code. This plugin is similar to the $popover and $overlay plugins. The most basic example mimics the DOM usage in that modal is triggered after an event on a specified target.
In most cases the plugin is meant to be used by triggering the modals programmatically without waiting for an event to trigger on a target. If no target is specified, the modal will show once it has been mounted.
JavaScript provided some native functions to handle alerts, confirmations, and prompts. There is very little control over the UX with these functions. The modal helper methods are designed to mimic the native functionality (as a concept), but provide a promise based approach.
The only modal type that is meant to accept user input beyond a boolean value. Thus, it's likely you need to validate the user input, or do something asynchronously before the modal closes and resolves/rejects the promise.


Postcard from Harbin
Had a really cool time in Harbin.
This was the view from my departing flight,
and this was the view arriving in Harbin.
Needless to say, they are very different cities.
My hosts, Prof Yu Peng and Dr Shaojun Wang kindly arranged for Basin Wang and Rigui Yi, both postgraduate students at Harbin Institute of Technology to take me out on fantastic Lantern Festival day. They were very nice to me, despite being forced to listen to 8 hours of my lectures.
 We took a bus ride through the park, from which we could get really close to the animals.
While most of them were reddish-yellow in color, we saw a couple of white ones.
After the bus ride, we walked around a caged area.
This keeper was preparing live chickens for feeding.
I know that the tigers are thinking, “it’s KFC time”. I wonder what the chicken is thinking?
We had lunch at Longhua Yucun Restaurant.
These were just kept as pets and not on the menu.
A really large wok.
This photo is with Haomiao Wang and Rigui Yi. The tables in this restaurant were designed like boats. I am thinking of redecorating our kitchen in the same style.
"/assets/images/2013/02/P2241373.jpg"
>

This is the Songhua River. There is a sign which says “No swimming”. I strongly doubt you could do that even if you wanted to.
Next we visited the Harbin Sun Island International Snow Sculpture Art Expo, where there were snow sculptures on display. It is a very lovely park and some of the sculptures were really impressive. The best way to describe it to Sydneysiders is that it is sort of like Sculpture by the Sea, except it is really cold and there is no sea even though it is on an island.
This one is Beethoven.
The Songhua River with Harbin in the background.
Of course, the main attraction is the Harbin Snow and Ice Festival.
It wasn’t long before the temperature dropped to -20 C.
This is the “Angry birds” area.
I was very impressed by the display.
Just as were were about to leave, they put on some Lantern Day fireworks.
Following dinner at the Boteman Xi Canting Restaurant where we had Russian food, we walked to the Songhua River where people were sending up hot air balloons fueled with candles.
All the orange dots in the air are lanterns. It was a very beautiful sight and I wish I was able to get a better photo.
I was so tired the following day, I didn’t feel like playing tennis.
This is the student canteen. They have food from many different provinces. The food is good and very inexpensive.
For example a fried sauce noodle zhajiangmian with spring onion pancake costs 8 RMB.
I had a fantastic time due to the wonderful hospitality of my hosts, Prof Yu Peng, Dr Shaojun Wang, Dr Liu Datong, Yeyong Pang and Jianbo Zhou.
Profs Qian-fan Zhang and Liguo Wang.
I was treated to some wonderful meals as can be seen below.
Things went pear-shaped on my return journey. Heavy snow was forecast for just after my departure and, of course, my flight was delayed. The snow fell so hard I couldn’t see the planes from inside the terminal. Amazingly, the runway was operational about 10 minutes after the snow stopped, and there was still hope to make the flight. Our China Southern plane then had some other mechanical problem and we arrived in Shanghai and hour after my Qantas flight had departed. This was the first time I had ever missed a connection.
The guy at the gate didn’t particularly want to help me, and I was hot under the collar because: (1) I was tired and (2) the long underwear I was still wearing as not appropriate for Shanghai. I tried to put pressure on him by writing down his name, Shi Xi Sheng. When I got to the ticketing counter I noticed the girl there had the same name! Guess they got a bulk deal on those name tags. Since Qantas was closed for the day, all they could do is arrange a hotel room. I later found out the name means “occupational trainee”.
To cut a long story short, I did manage to get the last seat on the flight back to Sydney the next day, which, incidentally was filled with students returning for first semester. The person sitting behind me knew me as he was a student in our School. Anyway, the extra day in Shanghai wasn’t a total loss, I was able to have crab roe xiao long bao.
I’ll finish with a travel tip for those not terribly familiar with China. Most hotels have free wired ethernet but no wifi. If you bring something like this TP-Link TL-MR3020 Wireless N Router, you can turn it into a wifi hotspot and connect your phone etc.


Introduction
Project Name
Sports Partner
Why we do this
Peopel are paying more and more attention to their health.
Some people want to start exercising. However, with no experience, they do not know where to start.
Some people execrise occasionally. Without partner, they can not keep doing this.
Some people are really good at this. However, they feel a bit lonely while they do not have a partner
So we decide to do this:
Match up the guys who want to execrise
For people who just start, they can find a partner to help them.
For people who can to keep doing this, they can have a partner to encourage one another.
For people who really special at it, they can have a friend, or even make some money.
How it works
First, people who want a partner need to register on the website.
They need to fill a form about their basic information, and what they like to do. Eg. Basketball, Football or something else.
Then their information will be stored in the database.
And after they register successfully, then they can choose the conditions about the matching.
For example, if they want to find a partner to run, they can choose to match people who are 5 km around and want to have a partner to run. Or 10 km around.
Then there will be a list of people for they to choose, and send message to ask whether they want to run at a specific time.
This is the basic information about how it works.


DOMO - Acronyms and Abbreviations - The Free Dictionary
Definition of DOMO in the list of acronyms and abbreviations provided by the Free Online Dictionary and Thesaurus. . DOMO, Dream of Mirror Online (video game). DOMO, Diffractive Optics and Micro-Optics (professional conference) .
http://acronyms.thefreedictionary.com/DOMO
Treatment for Herniated or Bulging Discs
Best License Of Filecure Online Free Download: Dream Of Mirror ...
Dream Of Mirror Online 1.0 Dream of Mirror Online is an anime-themed . delete cookies, temporary Internet files, index.dat files, recent document lists, recently . . Pack- Clover (Professional Shopping Catalog theme templates) If you plan to .
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Dream of Mirror : Online Games Review Directory
Comment: Dream Mirror Online is based on the story of the previous . DoMO offers so many classes, and there is a DoMOWiki page that lists what builds go where. . *Unique* job system, where you can combine multiple professions skills .
http://www.gameogre.com/reviewdirectory/reviews/Dream_of_Mirror.php
dream of mirror online profession lists Herniated or Bulging Discs
Collection - Domo Wiki, the Dream of Mirror Online wiki - Jobs, areas ...
It is recommended to only level one profession and create a new character to collect another type of materials, unless you want to level your Commoner.
http://domo.wikia.com/wiki/Collection
Dream of Mirror Online - MMOsite Gamezone: Feature
Sep 11, 2007 . Following the popular design of "Swdol Online", the Dream of Mirror Online . In " Dream of Mirror Online", the player characters are able to . you can not only build your contact list but also group your contacts. . Such wonderful professional private chat rooms are only available in "Dream of Mirror Online"!
http://domo.mmosite.com/gameinfo/feature_01.shtml
[Dream of Mirror Online] DOMO Arigato Mr. Roboto - Penny Arcade Forums
Apr 3, 2008 . Dream of Mirror Online is a free MMORPG which has an English version, that is unlike many free games actually in English so you will find no .
http://forums.penny-arcade.com/discussion/54311/dream-of-mirror-online-domo-arigato-mr-roboto
Official Impairment Listing for Spinal Disorders
Domo Wiki, the Dream of Mirror Online wiki - Jobs, areas, bestiary ...
Domo Wiki is a database for the game Dream of Mirror Online that anyone can edit. Includes information about pets, recipes, quests and other guides.
http://domo.wikia.com/
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Dream Of Mirror Online 1.0 - FileGuru
Dream of Mirror Online is an anime-themed MMORPG where players go on . delete cookies, temporary Internet files, index.dat files, recent document lists, .
http://www.fileguru.com/Dream-Of-Mirror-Online/infoDoubly Occupied Molecular Orbital - What does DOMO stand for ...
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Aeria Games offers free online MMORPG Games. Our game collection consists a variety of genres, including FPS, RTS, MMO, Anime, and other action .
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Dream Of Mirror Online - Television Tropes & Idioms
A description of tropes appearing in Dream Of Mirror Online. . between jobs, but job skills do, and players must visit a Career Adviser to change between jobs.
http://tvtropes.org/pmwiki/pmwiki.php/Main/DreamOfMirrorOnline
Medical-Vocational Allowance for Herniated Disc
Where To Level - Dream of Mirror Online
Dec 28, 2007 . Dream of Mirror Online is an MMORPG where you level up and . have a low hp profession you might need a team if you plan on fighting them.
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http://www.mmorpg.com/gamelist.cfm/game/309
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Feb 28, 2009 . Dream of Mirror Online Tutorial - 9. Dennis el Azul . how to do i get Professions ? please i dont now . 0Unsaved Playlist Return to active list .
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--- layout: post status: publish published: true title: Blake Stone author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 738 wordpress_url: http://winterdom.com/2004/04/blakestone date: '2004-04-21 08:49:06 +0000' date_gmt: '2004-04-21 08:49:06 +0000' categories: - Development tags: [] comments: [] ---
Blake Stone, former CTO of Borland, now works as an Architect at Microsoft in the Visual Studio Core Team.


There are several ways to get started with DWR. We recommend the following:
Download the dwr.jar file. Place it into the WEB-INF/lib
directory of your web application.
DWR depends on Commons Logging. Download the commons-logging.jar and place it into the WEB-INF/lib
directory of your web application.
Add the following lines to your web application's deployment descriptor (WEB-INF/web.xml
). The <servlet>
section needs to go with any existing <servlet>
sections, and likewise with the <servlet-mapping>
section.
<servlet> <display-name>DWR Servlet</display-name> <servlet-name>dwr-invoker</servlet-name> <servlet-class>org.directwebremoting.servlet.DwrServlet</servlet-class> <init-param> <param-name>debug</param-name> <param-value>true</param-value> </init-param> </servlet> <servlet-mapping> <servlet-name>dwr-invoker</servlet-name> <url-pattern>/dwr/*</url-pattern> </servlet-mapping>
Create a new file in you web application's WEB-INF directory (alongside web.xml) named dwr.xml.
A simple way to start is with something like this:
<!DOCTYPE dwr PUBLIC "-//GetAhead Limited//DTD Direct Web Remoting 3.0//EN" "http://getahead.org/dwr/dwr30.dtd"> <dwr> <allow> <create creator="new" javascript="JDate"> <param name="class" value="java.util.Date"/> </create> <create creator="new" javascript="Demo"> <param name="class" value="your.java.Bean"/> </create> </allow> </dwr>
The DWR config file defines what classes DWR can create and remote for use by Javascript. In the example above we are defining 2 classes that are remoted and giving the classes names in Javascript.
The new creator that we used above uses the public no-args constructor that all Java Beans must have. It is also worth remembering that DWR has one restriction:
Visit the dwr.xml documentation for a detailed description of the dwr.xml file, creators and converters.
Go to the following URL:
http://localhost:8080/[YOUR-WEBAPP-CONTEXT]/dwr/
You should see a page showing you the classes you configured in Step 4. Having followed a link you should see an index of all the methods ready for calling - simply enter the required parameters (if parameters are required) and click the execute button. These pages are valuable debugging tools and dynamically generated by DWR when the debug init-param is set to true.
We have a whole section on writing Javascript with DWR, and there are a number of examples in the sidebar that demonstrate how to dynamically alter the text in web pages, update lists, manipulate forms and perform live table editing. Each has a description of how it works.
Another way to get started is to look at the source from the pages that you just viewed:
<script src='/[YOUR-WEBAPP-CONTEXT]/dwr/interface/[YOUR-SCRIPT].js'></script> <script src='/[YOUR-WEBAPP-CONTEXT]/dwr/engine.js'></script>
You can omit the /[YOUR-WEBAPP-CONTEXT]/
section and use relative paths in your web pages if you wish.
Next Step: Learn about writing Javascript that interacts with DWR.
We have a page containing troubleshooting advice and common problems and their fixes. This is the first place to look.
If you are still having problems please join the mailing list and ask there.


UIPickerView
Delegate and DataSource
UIPickerView
closures make it easy to implement UIPickerViewDelegate
and
UIPickerViewDataSource
protocol methods in an organized way. The following
is an example of a simple collection view that displays strings in each row.
func loadPickerView() {
pickerView
.numberOfRowsInComponent() { _ in
countries.count
}.titleForRow() { row, component in
countries[row]
}.didSelectRow { row, component in
log("\(countries[row]) selected")
}.reloadAllComponents()
}
Arrays
These operations are common. Usually, they involve populating the UIPickerView
with the values from an array.
Important
Please remember that SwiftArray
s are value types. This means that they
are copied when mutaded. When the values or sequence of your array changes, you will
need to call one of the add
methods again, just before you
call reloadData().
func loadPickerView(countries: [String]) {
let reversed = Array(countries.reversed())
pickerView
.addStrings(reversed) { country,component,row in
log("\(country) selected from array")
}.reloadAllComponents()
}
Note
Be sure to note that most of the closure callbacks in these array binding methods switch the order of the parameters of row and component. Most of theUIPickerView
delegate/datasource method parameters pass row,component
. The
parameters on the add
methods switch the order and send component,row
Multiple Components
And finally, you can just as easily show mutliple components by binding a 2-dimensional array. When using this method, the outer dimension of the array is the component (columns) and the inner dimension are the rows in that component.
let anElement = myTwoDArray[component][row]
In this example, the more verbose row handler is provided just to show the different variations. Adding multiple components has a convenient method to deal with string only arrays also.
func loadPickerView(components: [[String]]) {
pickerView.addComponents(
components,
rowTitle: { country,component,row in
country},
didSelect: { country,component,row in
log("\(country) selected from 2D Array")
})
/**
This also allows you to override any default behavior so
you aren't overly committed, even though you're initially binding everything
to the `Array`.
*/
pickerView.widthForComponent { component in
component == 0 ? 200 : 100
}.reloadAllComponents()
}
-
This method defaults many of the boilerplate callbacks needed to populate a UIPickerView when using an
Array
as a data source. The defaults that this method takes care of:- Provides the number of components
- Provides the number of rows
- Handles the pickerView(_:didSelectRow:inComponent:) delegate method
- Provides the title string for each row
This method simply sets basic default behavior. This means that you can override the default picker view handlers after this method is called. However, remember that order matters. If you call this method after you override the
numberOfComponents
callback, for instance, the closure you passed intonumberOfComponents
will be wiped out by this method and you will have to override that closure handler again.Important
Please remember that SwiftArray
s are value types. This means that they are copied when mutaded. When the values or sequence of your array changes, you will need to call this method again, just before you call reloadComponent() or reloadAllComponents(). If you have a lot of picker view customization in addtion to a lot of updates to your array, it is more appropriate to use the individual closure handlers instead of this method.
An example of calling this method:
pickerView.addStrings(<#myArray#>) { aTitle,component,row in print("\(aTitle) was selected") }
Declaration
Swift
public func addStrings(_ strings: [String], didSelect: @escaping (_ element: String, _ component: Int, _ row: Int) -> Void) -> Self
Parameters
strings
An
Array
ofString
s to be used for each row in a single component picker view.didSelect
A closure that is called when the UIPickerView’s value has been selected.
Return Value
itself so you can daisy chain the other delegate/datasource calls
-
This method defaults many of the boilerplate callbacks needed to populate a UIPickerView when using an
Array
as a data source. The defaults that this method takes care of:- Provides the number of components
- Provides the number of rows
- Handles the pickerView(_:titleForRow:forComponent:) delegate method
- Handles the pickerView(_:didSelectRow:inComponent:) delegate method
This method simply sets basic default behavior. This means that you can override the default picker view handlers after this method is called. However, remember that order matters. If you call this method after you override the
numberOfComponents
callback, for instance, the closure you passed intonumberOfComponents
will be wiped out by this method and you will have to override that closure handler again.Important
Please remember that Swift
Array
s are value types. This means that they are copied when mutaded. When the values or sequence of your array changes, you will need to call this method again, just before you call reloadComponent() or reloadAllComponents(). If you have a lot of picker view customization in addtion to a lot of updates to your array, it is more appropriate to use the individual closure handlers instead of this method.Important
Be sure to note that most of the closure callbacks in these array binding methods switch the order of the parameters of row and component. Most of the UIPickerView delegate/datasource method parameters have row,component. The handlers’ parameters on the
add
methods send component,row.
An example of calling this method:
pickerView.addElements( <#myArray#>, rowTitle: { element, component, row in return <#aTitle(from: element)#>}, didSelect: { element, component, row in print("\(element) was selected") )
Declaration
Swift
public func addElements<Element>(_ elements: [Element], rowTitle: @escaping (_ element: Element, _ component: Int, _ row: Int) -> String, didSelect: @escaping (_ element: Element, _ component: Int, _ row: Int) -> Void) -> Self
Parameters
strings
An
Array
of any type to be used for each row in a single component picker view.rowTitle
A closure that is called when the UIPickerView needs to display a string for it’s row.
didSelect
A closure that is called when the UIPickerView’s value has been selected.
Return Value
itself so you can daisy chain the other delegate/datasource calls
-
This method defaults many of the boilerplate callbacks needed to populate a UIPickerView when using an
Array
as a data source. The defaults that this method takes care of:- Provides the number of components
- Provides the number of rows
- Handles the pickerView(_:viewForRow:forComponent:) delegate method
- Handles the pickerView(_:didSelectRow:inComponent:) delegate method
This method simply sets basic default behavior. This means that you can override the default picker view handlers after this method is called. However, remember that order matters. If you call this method after you override the
numberOfComponents
callback, for instance, the closure you passed intonumberOfComponents
will be wiped out by this method and you will have to override that closure handler again.Important
Please remember that Swift
Array
s are value types. This means that they are copied when mutaded. When the values or sequence of your array changes, you will need to call this method again, just before you call reloadComponent() or reloadAllComponents(). If you have a lot of picker view customization in addtion to a lot of updates to your array, it is more appropriate to use the individual closure handlers instead of this method.Important
Be sure to note that most of the closure callbacks in these array binding methods switch the order of the parameters of row and component. Most of the UIPickerView delegate/datasource method parameters have row,component. The handlers’ parameters on the
add
methods send component,row.
An example of calling this method:
pickerView.addElements( <#myArray#>, rowView: { element, reuseView, component, row in return <#aView(from: element)#>}, didSelect: { element, component, row in print("\(element) was selected") )
Declaration
Swift
public func addElements<Element>(_ elements: [Element], rowView: @escaping (_ element: Element, _ reuseView: UIView?, _ component: Int, _ row: Int) -> UIView, didSelect: @escaping (_ element: Element, _ component: Int, _ row: Int) -> Void) -> Self
Parameters
strings
An
Array
of any type to be used for each row in a single component picker view.rowView
A closure that is called when the UIPickerView needs to display a view for it’s row.
didSelect
A closure that is called when the UIPickerView’s value has been selected.
Return Value
itself so you can daisy chain the other delegate/datasource calls
-
This method defaults many of the boilerplate callbacks needed to populate a UIPickerView when using a two-dimensional Array as a data source. The defaults that this method takes care of:
- Provides the number of components
- Provides the number of rows
- Handles the pickerView(_:didSelectRow:inComponent:) delegate method
- Provides the title string for each row
This method simply sets basic default behavior. This means that you can override the default picker view handlers after this method is called. However, remember that order matters. If you call this method after you override the
numberOfComponents
callback, for instance, the closure you passed intonumberOfComponents
will be wiped out by this method and you will have to override that closure handler again.Important
Please remember that SwiftArray
s are value types. This means that they are copied when mutaded. When the values or sequence of your array changes, you will need to call this method again, just before you call reloadComponent() or reloadAllComponents(). If you have a lot of picker view customization in addtion to a lot of updates to your array, it is more appropriate to use the individual closure handlers instead of this method.
An example of calling this method:
pickerView.addComponents(<#my2DArray#>) { aTitle,component,row in print("\(aTitle) was selected") }
Declaration
Swift
public func addComponents(_ strings: [[String]], didSelect: @escaping (_ element: String, _ component: Int, _ row: Int) -> Void) -> Self
Parameters
strings
An
Array
ofArray
ofString
s to be used for each row and component in a picker view. The outer dimension of the array is the component (columns) and the inner dimension are the rows in that component. e.g. myTwoDArray[component][row]didSelect
A closure that is called when the UIPickerView’s value has been selected.
Return Value
itself so you can daisy chain the other delegate/datasource calls
-
This method defaults many of the boilerplate callbacks needed to populate a UIPickerView when using a two-dimensional Array as a data source. The defaults that this method takes care of:
- Provides the number of components
- Provides the number of rows
- Handles the pickerView(_:titleForRow:forComponent:) delegate method
- Handles the pickerView(_:didSelectRow:inComponent:) delegate method
This method simply sets basic default behavior. This means that you can override the default picker view handlers after this method is called. However, remember that order matters. If you call this method after you override the
numberOfComponents
callback, for instance, the closure you passed intonumberOfComponents
will be wiped out by this method and you will have to override that closure handler again.Important
Please remember that Swift
Array
s are value types. This means that they are copied when mutaded. When the values or sequence of your array changes, you will need to call this method again, just before you call reloadComponent() or reloadAllComponents(). If you have a lot of picker view customization in addtion to a lot of updates to your array, it is more appropriate to use the individual closure handlers instead of this method.Important
Be sure to note that most of the closure callbacks in these array binding methods switch the order of the parameters of row and component. Most of the UIPickerView delegate/datasource method parameters have row,component. The handlers’ parameters on the
add
methods send component,row.
An example of calling this method:
pickerView.addComponents( <#my2DArray#>, rowTitle: { element, component, row in return <#aTitle(from: element, componentIdx: component)#>}, didSelect: { element, component, row in print("\(element) was selected") )
Declaration
Swift
public func addComponents<Element>(_ components: [[Element]], rowTitle: @escaping (_ element: Element, _ component: Int, _ row: Int) -> String, didSelect: @escaping (_ element: Element, _ component: Int, _ row: Int) -> Void) -> Self
Parameters
components
An
Array
ofArray
of any type to be used for each row and component in a picker view. The outer dimension of the array is the component (columns) and the inner dimension are the rows in that component. e.g. myTwoDArray[component][row]rowTitle
A closure that is called when the UIPickerView needs to display a string for it’s row.
didSelect
A closure that is called when the UIPickerView’s value has been selected.
Return Value
itself so you can daisy chain the other delegate/datasource calls
-
This method defaults many of the boilerplate callbacks needed to populate a UIPickerView when using a two-dimensional Array as a data source. The defaults that this method takes care of:
- Provides the number of components
- Provides the number of rows
- Handles the pickerView(_:viewForRow:forComponent:) delegate method
- Handles the pickerView(_:didSelectRow:inComponent:) delegate method
This method simply sets basic default behavior. This means that you can override the default picker view handlers after this method is called. However, remember that order matters. If you call this method after you override the
numberOfComponents
callback, for instance, the closure you passed intonumberOfComponents
will be wiped out by this method and you will have to override that closure handler again.Important
Please remember that Swift
Array
s are value types. This means that they are copied when mutaded. When the values or sequence of your array changes, you will need to call this method again, just before you call reloadComponent() or reloadAllComponents(). If you have a lot of picker view customization in addtion to a lot of updates to your array, it is more appropriate to use the individual closure handlers instead of this method.Important
Be sure to note that most of the closure callbacks in these array binding methods switch the order of the parameters of row and component. Most of the UIPickerView delegate/datasource method parameters have row,component. The handlers’ parameters on the
add
methods send component,row.
An example of calling this method:
pickerView.addComponents( <#my2DArray#>, rowView: { element, reuseView, component, row in return <#aView(from: element, componentIdx: component)#>}, didSelect: { element, component, row in print("\(element) was selected") )
parameter components: An
Array
ofArray
of any type to be used for each row and component in a picker view. The outer dimension of the array is the component (columns) and the inner dimension are the rows in that component. e.g. myTwoDArray[component][row]Declaration
Swift
public func addComponents<Element>(_ components: [[Element]], rowView: @escaping (_ element: Element, _ reuseView: UIView?, _ component: Int, _ row: Int) -> UIView, didSelect: @escaping (_ element: Element, _ component: Int, _ row: Int) -> Void) -> Self
Parameters
rowView
A closure that is called when the UIPickerView needs to display a view for it’s row.
didSelect
A closure that is called when the UIPickerView’s value has been selected.
Return Value
itself so you can daisy chain the other delegate/datasource calls
-
Equivalent to implementing UIPickerViewDelegate’s pickerView(_:rowHeightForComponent:) method
Declaration
Swift
public func rowHeightForComponent(handler: @escaping (_ component: Int) -> CGFloat) -> Self
Parameters
handler
The closure that will be called in place of its equivalent delegate method
Return Value
itself so you can daisy chain the other delegate calls
-
Equivalent to implementing UIPickerViewDelegate’s pickerView(_:widthForComponent:) method
Declaration
Swift
public func widthForComponent(handler: @escaping (_ component: Int) -> CGFloat) -> Self
Parameters
handler
The closure that will be called in place of its equivalent delegate method
Return Value
itself so you can daisy chain the other delegate calls
-
Equivalent to implementing UIPickerViewDelegate’s pickerView(_:titleForRow:forComponent:) method
Declaration
Swift
public func titleForRow(handler: @escaping (_ row: Int, _ component: Int) -> String?) -> Self
Parameters
handler
The closure that will be called in place of its equivalent delegate method
Return Value
itself so you can daisy chain the other delegate calls
-
Equivalent to implementing UIPickerViewDelegate’s pickerView(_:attributedTitleForRow:forComponent:) method
Declaration
Swift
public func attributedTitleForRow(handler: @escaping (_ row: Int, _ component: Int) -> NSAttributedString?) -> Self
Parameters
handler
The closure that will be called in place of its equivalent delegate method
Return Value
itself so you can daisy chain the other delegate calls
-
Equivalent to implementing UIPickerViewDelegate’s pickerView(_:viewForRow:forComponent:reusing:) method
Declaration
Swift
public func viewForRow(handler: @escaping (_ row: Int, _ component: Int, _ reusingView: UIView?) -> UIView) -> Self
Parameters
handler
The closure that will be called in place of its equivalent delegate method
Return Value
itself so you can daisy chain the other delegate calls
-
Equivalent to implementing UIPickerViewDelegate’s pickerView(_:didSelectRow:inComponent:) method
Declaration
Swift
public func didSelectRow(handler: @escaping (_ row: Int, _ component: Int) -> Void) -> Self
Parameters
handler
The closure that will be called in place of its equivalent delegate method
Return Value
itself so you can daisy chain the other delegate calls
-
Equivalent to implementing UIPickerViewDataSource’s numberOfComponents(in:) method
Declaration
Swift
public func numberOfComponents(handler: @escaping () -> Int) -> Self
Parameters
handler
The closure that will be called in place of its equivalent dataSource method
Return Value
itself so you can daisy chain the other dataSource calls
-
Equivalent to implementing UIPickerViewDataSource’s pickerView(_:numberOfRowsInComponent:) method
Declaration
Swift
public func numberOfRowsInComponent(handler: @escaping (_ component: Int) -> Int) -> Self
Parameters
handler
The closure that will be called in place of its equivalent dataSource method
Return Value
itself so you can daisy chain the other dataSource calls
-
Clears any delegate/dataSource closures that were assigned to this
UIPickerView
. This cleans up memory as well as sets the delegate/dataSource properties to nil. This is typically only used for explicit cleanup. You are not required to call this method.Declaration
Swift
@objc public func clearClosureDelegates()


During foundations I learnt alot about myself and how far I have come on this journey. There were a few difficult moments but overall I feel a lot more confident in my abilities heading into bootcamp. In sprint one we took a deep dive in to who I am and where I developed my identity. It wasn't something I had really thought about too deeply before but I think the experience helped me to better understand my strengths and weaknesses and what I need to be going forward.
The skills I learnt in the core section of foundations have set me up to better communicate with the people I will work with. Knowing what my values, morals, and ethics are will help me to maintain a level of professional integrity. Having empathy will help me to better understand the needs of both customers and colleagues. And being self aware will let me know what my strengths and weaknesses are and how best to leverage these to achieve my goals.
There were plenty of challenges so far but I feel as though I have developed skills to deal with them much better. It wasn't easy to acknowledge my faults but I was also surprised how beneficial it can be to do just that. I feel as though the tech skills of foundations have helped me develop methods to solve problems and the core section rounds this out by helping me be able to realise when my weaknesses might be the problem and to better cope with them. Overall, I think the core skills are just as, if not more, important than the technical skills and I will make an effort to further develop them so that I can be the best version of myself.


Consider the definition of a constraint C containing a
propagating indexical X in R
. Let
\TV(X,C,S) denote the set of values for X that can make
C true in some ground extension of the store S.
Then the indexical should obey the following coding rules:
If the coding rules are observed, S(R) can be proven to contain
\TV(X,C,S) for all stores in which R is monotone. Hence
it is natural for the implementation to wait until R becomes
monotone before admitting the propagating indexical for execution. The
execution of X in R
thus involves the following:
X::S(R)
is
added to the store (X is pruned), and the indexical
suspends, unless R is ground in S, in which case
C is detected as entailed.
A propagating indexical is scheduled for execution as follows:
dom(Y)
or card(Y)
in R has been updated
min(Y)
in R has been updated
max(Y)
in R has been updated


Mushrooms - P. cubensis & Alcohol
This is a cautionary tale of surprise.
Myself and some longtime acquaintances had gathered together in my gf's basement (a 'safe party zone') for an experience with mushrooms. We had all experienced LSD and mushrooms in college, to varying degrees. At this point we had all been out of college for 5-7 years, and most of us hadn't done anything more psychedelic than cannabis in that time. I myself had not tripped since 1995.  I never went for major mind-melting doses, and usually felt, at peak, that 'I should have done more.' The couple of times that the LSD was much stronger than predicted, I had done just fine. There was no reason to expect an adverse reaction.
Mushrooms, as a natural product, can vary in potency greatly. After years of hearing that 'you need at least an eighth (3.5g), but a quarter (7g) is better,' we all figured that a nice mellow time for the five of us could be had with the half-ounce bag of mushrooms J had acquired for us. These had that evil aspect to them; much of the fungal matter was darkened by a moldy-looking purplish coloring, that upon inspection was part of the 'shroom. I personally had never seen such crazy-looking shrooms. We opened beers and began our 'snack,' dividing the bag equally.
I hate the taste of these things, so I began using the pill-popping method of squashing the stuff into small blobs and washing them down with beer. I think this was my error. I went trhough three beers this way, and still ate a bit slower than the others. Thirty minutes go by and folks are getting giggly. I have that 'way stoned' feeling, but nothing much else. My standard ''shrooms as pot squared' sort of disappointing experience. I prefer acid.
We all sit down to watch 'Yellow Submarine.' It's cool. Way cool. VERY yellow. I got outside for a cigarette and the trees in the backyard fade in and out of the mist. Everyone is tripping hard, but I'm just kinda trippy, like half a dose of acid. Nothing much. I unsuccessfully try to get my bump-on-log companions to go for a walk. They're having a gigglefest and saying 'I can't beleive how hard I'm tripping!' I'm still barely tripping.
We watch 'Willie Wonka and the Chocolate Factory.' The sinister undercurrents of that film are plainer to me than usual. It's great, a sick, twisted, homicidal nightmare dressed up as a wholesome children's movie. The coming remake can't possibly measure up to the orignal. Anyway, all goes smooth through the film. The others are slowly coming down from their peak. I'm very nearly baseline-straight. I say, 'I'll probably head out in a few minutes.' I head for the bathroom to urinate.
I enter the bathroom, and look at my image in the mirror. I briefly recall how LSD used to give me pimples. In the mirror, I see my face, horribly pasty white, every pore a large blackhead, a nasty acne mess bound to end in disfigurement and misery. I mumble, 'Shit, I just destroyed my complexion.' I recall that I am still sort of on mushrooms. I feel a rush akin to a panic attack begin. I mumble, 'I'm gonna deal with this tomorrow.' I turn to the toilet and begin to urinate.
The force of gravity suddenly increased. I began sinking into the floor as I pissed. I said, 'Oh, shit.' I zipped up, pulled my legs out of the floor and staggered out the door back into the room were we were all hanging out. Walking like a drunken robot, suddenly in the grip of the strongest body load of any type I've ever felt, I announced, Christopher Walken-like.  I turned my head to the right and leaped into hyperspace.
Hyperspace was dark and empty, a cool, quiet void I was floating in, waving my arms and legs as a means of locomotion. My mission: Keep moving. Vague forces tried to impede my arms and legs, but they were like eddies in a pool of corn syrup. I felt their tugging, but broke free of them with little effort. I had to keep moving.
Suddenly all is bright, and what I see is vaguely like the room I had recently left, if it were spinning. Voices cried, 'Sit down! Sit down!' My vision swam as if I had drank a fifth of vodka. I sort of saw a chair before me. 'Sit down!' cried the voices. 'That's a good idea,' I said. I had heartburn. I sat down. I asked for a Tums. Someone brought me a bucket instead. 'Hey, that's not a Tums,' I said. I looked at the bucket, behind me and to my left, about two feet away. Then I effortlessy projectile-vomited into it, before I realized what I was doing. Every vomitous molecule landed in the bucket. My friends were suitably impressed.
I was now nicely high and coming off of a peak, so it felt. The rest of the night was uneventful. My friends informed me of what happened while I was in hyperspace and my body was at my gf's house:
I turned my head to the left and leaped towards a plate-glass sliding door. J, thinking quickly, leaped at me to intercept. He tackled me to the floor. I flailed and got up, ran again toward the glass door, bounced off of it, and proceeded to get tangled in the vertical blinds. I battled the blinds for a moment, and J and others dragged me away from the door and the blinds. I staggered out of their grip, I saw the chair, announced 'That's a good idea,' and sat down.
I easily could have been slashed to ribbons had I gone through the door. I was going full speed when J tackled me. I was entirely uninjured by the experience. I scared everyone else.
I had never had a trip remotely like that. I suspect that the way I 'ate' the shrooms prevent them from being properly digested for hours, until all of a sudden the entire dose of what were, by consensus, strong-ass shrooms hit me all at once, fast and furious, and left nearly as quickly, but only after wrenching me suddenly and utterly unexpectedly out of my body and into a whole other dimension. And it happened at the 'end of my comedown' from what had been the weakest of trips.
Everyone was surprised; I've never heard of anyone having such an experience with shrooms. Even knowing as I did that 'shrooms/tryptamines have a natural up-down-up-down action, I never expected my trip to progress in a blah-blah-blah-cool-blah-lame-weak-SUPERMOTHERFUCKINGSTRONG-cool-weak-blah sort of pattern.
I don't care how experienced and cocky you are, always have respect for psychedelics, and know that they can take control at any time. I don't do them anymore.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Virtual Banking App Design
A leading bank received virtual bank license and was setting up new digital design capabilities in order to support the launch of its mobile banking application. To handle with the increased activities in creating digital experiences, client needed to ramp up its digital design output and to seek for a new way of delivering and communicating design with product squads more effectively.
In orfer to drive the holistic design environment and work with all squads effectively, We took agile approach to implement our design sprint.
At begining of the onboarding journey, we would like to user to select the product first. In order to transprent to our customer, we provide 2 product options with equal visual treatment.
After going through the user stories and research insights, we run co-creation workshop to do ideation with Product Onwers and Business Analysts.
At begining of the onboarding journey, we would like to user to select the product first. In order to transprent to our customer, we provide 2 product options with equal visual treatment.
At begining of the onboarding journey, we would like to user to select the product first. In order to transprent to our customer, we provide 2 product options with equal visual treatment.
After going through the user stories and research insights, we run co-creation workshop to do ideation with Product Onwers and Business Analysts.
At begining of the onboarding journey, we would like to user to select the product first. In order to transprent to our customer, we provide 2 product options with equal visual treatment.
After going through the user stories and research insights, we run co-creation workshop to do ideation with Product Onwers and Business Analysts.
Functional
Quick action button
Marketing promotions
Based on the 1.0 design system, We helped defining the new UI design system in order to set up a more dynamic foundation for UX design
User can set up saving goal while creating saving accounts. App simulator will help user to set the initial deposits and recurring transaction.
In saving account details page, user can track saving satus via the progress bar. We will also provide gamification features to motivate user saving more.
After completing the user interface design, we prepare the testing plan by listing test goals, user tasks/questions and observation parts.


Mi Flamenco Place is a journey across the flamenco dimension of the city of Sevilla, collective-driven by the people who do and love flamenco. If flamenco was already declared by UNESCO as Intangible Cultural Heritage, Sevilla must be considered one of its most important capitals, because of its history and tradition, of course, but also due to the huge amount of cultural, formative and leisure activities it has to offer. Thanks to the help of Ministerio de Cultura, Mi Flamenco Place is born, a new app project created by SURNAMES, Narradores Transmedia that intends to highlight the rich flamenco dimension of Sevilla, past and present of this art, and beyond mere geolocation thanks to the emotional connections between three basic coordinates: places, people and stories. So far, we’ve enjoyed the places and stories of artists, researchers, journalists and institutional representatives like:
- ALBERTO GARCÍA REYES
- ANDRÉS MARÍN
- ASUNCIÓN PÉREZ CHONI
- CHARO CALA
- CHLOÉ BRÛLÉ
- CRISTINA CRUCES
- CRISTÓBAL ORTEGA
- ESPERANZA FERNÁNDEZ
- EUSEBIA LÓPEZ
- FARRUQUITO
- ILDEFONSO VERGARA
- JOSÉ ANILLO
- JOSÉ GALÁN
- JOSÉ LUIS ORTIZ NUEVO
- JOSÉ LUIS POSTIGO
- JUAN CARLOS ROMERO
- JUAN VERGILLOS
- JUANJO MACÍAS
- KYOKO SHIKAZE
- LAURA VITAL
- LOLA PANTOJA
- LUCÍA ÁLVAREZ LA PIÑONA
- Mª DE LOS ÁNGELES CARRASCO
- MANUEL CURAO
- MANUEL MARTÍN MARTÍN
- MANUELA RÍOS
- MARCO VARGAS
- MARTA CARRASCO
- MIGUEL MARÍN
- NIÑO DE ELCHE
- NOEMÍ MARTÍNEZ CHICO
- PATRICIA GUERRERO
- PEDRO RICARDO MIÑO
- PEPA MONTES
- RAÚL CANTIZANO
- RICARDO MIÑO
- RICARDO PACHÓN
- ROCÍO MÁRQUEZ
- ROSALÍA GÓMEZ
- ROSARIO LA TREMENDITA
- SEBASTIÁN RUEDA
- SEGUNDO FALCÓN


$0102/258: Format marker, drive 1 DOS version (from track 18 sector 0) ROM-Reference: LDA $0102 : $D535 Previous Page / Next Page


--- layout: post title: MySQL, DNS and mimicking Roles date: type: post published: false status: draft categories: - MySQL tags: - Security meta: _edit_last: '2' author: login: shlomi email<EMAIL_ADDRESS>display_name: shlomi first_name: Shlomi last_name: Noach ---
I've encountered a couple of cases where a misconfigured local DNS caused MySQL to hang connecting clients. That is, the time reuqired for setting up a connection to MySQL was taking minutes.
The reason? MySQL was attempting to match the connection to the mysql.user table, where the privileges were listed by host names. For example, the following provilege:
GRANT USAGE ON *.* TO<EMAIL_ADDRESS>is just fine. Thing is, when the client connects to MySQL, the server needs to match the client's IP with the listed hosts in mysql.user. It needs to resolve web1.example.com to realize it's the same as the connecting IP.
I'm all for listing host names in mysql.user: listing IP addresses is not as intuitive. But the fact that MySQL relies on the DNS working properly, is troubling. Since I'm not a DNS expert, nor an expert in Switch configuration, I rely on a very easy and well working trick: the hosts file.
On Linux, MySQL will first try to resolve the domain name using /etc/hosts. By listing all machines which need to connect to MySQL in /etc/hosts, we make an instantaneous resolving solution.
Roles
Moreover, we can further utilize the naming on /etc/hosts


United States Government Outlays: 1960 - 2020
Source: "Table 4.1—Outlays by Agency: 1962–2020"
OMB.gov
In billions of dollars


--- layout: post title: Software security is like medicine date: 2012-08-29 15:00:13.000000000 +02:00 type: post parent_id: '0' published: true password: '' status: publish categories: - General - Security tags: - security - vulnerabilities meta: _edit_last: '3997956' draftfeedback_requests: a:2:{s:25:"lauranne.peyron@gmail.com";a:3:{s:3:"key";s:13:"503e120c71528";s:4:"time";s:10:"1346245132";s:7:"user_id";s:7:"3997956";}s:13:"503e1d2e247e2";a:3:{s:3:"key";s:13:"503e1d2e247e2";s:4:"time";s:10:"1346247982";s:7:"user_id";s:7:"3997956";}} draft_feedback: |- a:1:{s:25:"lauranne.peyron@gmail.com";a:1:{i:0;a:2:{s:4:"time";s:10:"1346245471";s:7:"content";s:327:"Pour moi, la métaphore marche bien. Qq remarques de style ;-) $1 : how you can take steps to protect yourself -> how you can protect yourself ou what steps you can take to protect yourself $2 : that's the same for software security -> it's the same $3 : diseases and bugs, non ? $4 : sensitive, pas sensible ;-) o< o< o<";}}} tagazine-media: a:7:{s:7:"primary";s:0:"";s:6:"images";a:0:{}s:6:"videos";a:0:{}s:11:"image_count";i:0;s:6:"author";s:7:"3997956";s:7:"blog_id";s:8:"11260360";s:9:"mod_stamp";s:19:"2012-08-29 14:14:27";} reddit: a:2:{s:5:"count";i:0;s:4:"time";i:1359456970;} geo_public: '0' _wpas_skip_77741: '1' author: login: geaaal email<EMAIL_ADDRESS>display_name: Géal first_name: '' last_name: '' ---
People don't get software security. Between the legends around hackers, the scaremongering by salesmen and the technical level needed to practice it, you won't even try to understand. It is hard to get a high level view of how it works, and how you can protect yourself. But there's a nice little metaphore to understand security: it's like medicine!
Medicine is about taking care of your body, fighting off illness, healing injuries. The body is a big machine that can fail in a lot of ways, depending on a lot of parameters. It is the same for software security: you want to prevent and repair any disruption that could fail at any time. Security, like medicine, is a very technical domain, and takes a lot of time to learn. Even after learning, you still don't know everything, and you must keep up to date with recent research.
But basic body maintenance is easy. And protecting your software against basic attacks is easy too. You don't need to study for 11 years to prevent basic SQL injections. Most of the time, the diseases and bugs that will affect you are common, and you don't need Dr House to prevent them.
Bodies and software are problematic because they both decay through time, and are very sensitive to their environment. Change the environment, and you could catch something new. The world is full of germs and criminals. Is that a good reason to always stay at home? Obviously not. You must accept that you can get sick at any time. So, take steps to protect yourself. Wash your hands and sanitize your inputs. And beware of snake oil.
Feel free to extend on the metaphore in the comments, and use it to explain software security around you!
By the way, if you need someone to auscultate your applications, you can contact me at geoffroycouprie.com.


Package org.mockitousage.verification
all
> org.mockitousage.verification
215
tests
1
failures
4
ignored
0.448s
duration
99%
successful
Failed tests
Ignored tests
Classes
Failed tests
VerificationInOrderMixedWithOrdiraryVerificationTest
.
shouldUseEqualsToVerifyMethodVarargs
Ignored tests
DescriptiveMessagesWhenVerificationFailsTest
.
should_print_method_name_and_arguments_of_other_interactions_of_same_method
DescriptiveMessagesWhenVerificationFailsTest
.
test1
DescriptiveMessagesWhenVerificationFailsTest
.
test2
VerificationWithTimeoutTest
.
shouldAllowTimeoutVerificationInOrder
Classes
Class
Tests
Failures
Ignored
Duration
Success rate
AtLeastXVerificationTest
3
0
0
0.002s
100%
AtMostXVerificationTest
7
0
0
0.003s
100%
BasicVerificationInOrderTest
23
0
0
0.020s
100%
BasicVerificationTest
8
0
0
0.004s
100%
DescriptiveMessagesOnVerificationInOrderErrorsTest
7
0
0
0.006s
100%
DescriptiveMessagesWhenTimesXVerificationFailsTest
2
0
0
0.002s
100%
DescriptiveMessagesWhenVerificationFailsTest
23
0
3
0.017s
100%
ExactNumberOfTimesVerificationTest
8
0
0
0.001s
100%
FindingRedundantInvocationsInOrderTest
7
0
0
0.005s
100%
NoMoreInteractionsVerificationTest
9
0
0
0.003s
100%
OnlyVerificationTest
7
0
0
0.004s
100%
OrdinaryVerificationPrintsAllInteractionsTest
3
0
0
0.003s
100%
PrintingVerboseTypesWithArgumentsTest
5
0
0
0.009s
100%
RelaxedVerificationInOrderTest
27
0
0
0.019s
100%
SelectedMocksInOrderVerificationTest
15
0
0
0.009s
100%
VerificationAfterDelayTest
5
0
0
0.158s
100%
VerificationExcludingStubsTest
4
0
0
0.002s
100%
VerificationInOrderMixedWithOrdiraryVerificationTest
10
1
0
0.005s
90%
VerificationInOrderTest
4
0
0
0.005s
100%
VerificationInOrderWithCallsTest
25
0
0
0.023s
100%
VerificationOnMultipleMocksUsingMatchersTest
2
0
0
0.016s
100%
VerificationUsingMatchersTest
3
0
0
0.005s
100%
VerificationWithTimeoutTest
8
0
1
0.127s
100%


Hierarch Kekropus:
You have thwarted Beleth's intentions and completed the quest for the Tablets of Vision.
Well done! You have justified my faith in you.
During the quest, I met one of the 3 heroes of the Kamael, Rodenpicula, and was told that we were created in order to oppose the gods.


|
Vc
0.7.5-dev
SIMD Vector Classes for C++
|
|
Mask object to use with double_v objects.
#include <Vc/double_v>
Public Member Functions | |
| double_m () | |
| default constructor | |
| double_m (Vc::Zero) | |
| Constructs a mask with the entries initialized to zero. | |
| double_m (Vc::One) | |
| Constructs a mask with the entries initialized to one. | |
| double_m (bool b) | |
| Constructs a mask with the entries initialized to. | |
| double_m (const double_m &) | |
| Standard copy constructor. | |
| template<typename OtherMask > | |
| double_m (const OtherMask &) | |
| Constructs a mask object from a mask of different size/type. | |
| bool | operator== (const double_m &) const |
| Returns whether the two masks are equal in all entries. | |
| bool | operator!= (const double_m &) const |
| Returns whether the two masks differ in at least one entry. | |
| double_m | operator&& (const double_m &) const |
| Return the per-entry resulting mask of a logical (in this case same as bitwise) AND operation. | |
| double_m | operator& (const double_m &) const |
| Return the per-entry resulting mask of a logical (in this case same as bitwise) AND operation. | |
| double_m | operator|| (const double_m &) const |
| Return the per-entry resulting mask of a logical (in this case same as bitwise) OR operation. | |
| double_m | operator| (const double_m &) const |
| Return the per-entry resulting mask of a logical (in this case same as bitwise) OR operation. | |
| double_m | operator^ (const double_m &) const |
| Return the per-entry resulting mask of a logical (in this case same as bitwise) XOR operation. | |
| double_m | operator! () const |
| Return the per-entry resulting mask of a logical (in this case same as bitwise) NOT operation. | |
| double_m | operator&= (const double_m &) |
| Modify the mask per-entry using a logical (in this case same as bitwise) AND operation. | |
| double_m | operator|= (const double_m &) |
| Modify the mask per-entry using a logical (in this case same as bitwise) OR operation. | |
| bool | isFull () const |
| Return whether all entries of the mask are one. | |
| bool | isEmpty () const |
| Return whether all entries of the mask are zero. | |
| bool | isMix () const |
| Return whether the mask is neither full nor empty. | |
| operator bool () const | |
| Cast to bool operator. | |
| bool | operator[] (int i) const |
| Read-only access to mask entries. | |
| int | count () const |
| Return how many entries of the mask are set to one. | |
| int | firstOne () const |
| Returns the index of the first one in the mask. | |
| int | toInt () const |
| Convert mask to an integer. |
| double_m | ( | ) |
default constructor
Leaves the mask uninitialized.
|
explicit |
Constructs a mask with the entries initialized to.
b
is true
b
is false
| b | Determines the initial state of the mask. |
| operator bool | ( | ) | const |
Cast to bool operator.
Returns the same as isFull().
| bool operator[] | ( | int | i | ) | const |
Read-only access to mask entries.
| i | Determines the boolean to be accessed. |
i
th entry of the mask as a bool. | int toInt | ( | ) | const |
Convert mask to an integer.
E.g. a mask like [true, false, false, true] would result in a 9 (in binary: 1001).


Delhi has turned into a gas chamber, admits Arvind Kejriwal
by JKR StaffDelhi Chief Minister Arvind Kejriwal on Friday admitted that the national capital had turned into a gas chamber due to rising levels of pollution. He said that private and government-run schools in Delhi had begun distributing masks.
Kejriwal wrote on Twitter, “Delhi has turned into a gas chamber due to smoke from crop burning in neighbouring states It is very imp that we protect ourselves from this toxic air. Through pvt & govt schools, we have started distributing 50 lakh masks today I urge all Delhiites to use them whenever needed.”
Earlier Kejriwal had blamed the chief ministers of Haryana and Punjab namely Manohar Lal Khattar and Captain Amarinder Singh for forcing farmers in their states to burn their crops. This, according to him, had contributed to the rising level of pollution in Delhi.
 “Now that Delhi was reeling under dangerously hazardous levels of pollution, the AAP chief had suddenly decided to turn his attention to the critical issue,” news agency PTI had quoted Singh as saying.
Meanwhile, the pollution level in Delhi, which deteriorated to dangerous level post Diwali, continues to wreak havoc with parents demanding the closure of schools for the safety of their children.


Word-Guess-Game
If you like dogs geuss the breeds!!!
Win:
Attempts:
Lose:
Letters Used:
Play one more time


Education is the movement from darkness to light.
Join Millions of Learners From Around The World Already Learning On myClass! Find the right instructor for you. Any topic, skill level, or language. Download To Your Phone. Over 130,000 Courses. Lifetime Access. 40M Students Enrolled. Expert Instructors.
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HI How are you?
My name is anwar Abbass/Isleet. I am 22 years old , I graduated in
2020 with high grade becouse i am fresh graduated i didnt work yet , i
hope i will soon as data sicntest or web development. i love cats so
much but i dont have one yet but one day in the future i will have
butiful one
- EXCEPRINCE: Data Sicnce , i did capstone by pythone about classification voice by gender
- EDUCATION: Al-Balqa Applied University, Computer Sicnce, GPA : 3.45 out of 4 (V.Good)
- Inside out
- Soul
- Inception
- The lion king
- The Emperor's New Groove
- Harry Potter
- Home
- Coco
- Now You See Me
- Knives Out
Top 10 Movies


Simple & pure design.
Designers everywhere gush with admiration upon seeing a web design and eclaim "it's beautiful, it's so clean!". There are a countless number of webdesign round-ups dedicated to "clean" design and it is a term thrown around quite a bit in the web design community. It can be easy to spot a good example of clean design.


Scikit-learn governance and decision-making¶
The purpose of this document is to formalize the governance process used by the scikit-learn project, to clarify how decisions are made and how the various elements of our community interact. This document establishes a decision-making structure that takes into account feedback from all members of the community and strives to find consensus, while avoiding any deadlocks.
This is a meritocratic, consensus-based community project. Anyone with an interest in the project can join the community, contribute to the project design and participate in the decision making process. This document describes how that participation takes place and how to set about earning merit within the project community.
Roles And Responsibilities¶
Contributors¶
Contributors are community members who contribute in concrete ways to the project. Anyone can become a contributor, and contributions can take many forms – not only code – as detailed in the contributors guide.
Core developers¶
Core developers are community members who have shown that they are dedicated to the continued development of the project through ongoing engagement with the community. They have shown they can be trusted to maintain Scikit-learn with care. Being a core developer allows contributors to more easily carry on with their project related activities by giving them direct access to the project’s repository and is represented as being an organization member on the scikit-learn GitHub organization. Core developers are expected to review code contributions, can merge approved pull requests, can cast votes for and against merging a pull-request, and can be involved in deciding major changes to the API.
New core developers can be nominated by any existing core developers. Once they have been nominated, there will be a vote by the current core developers. Voting on new core developers is one of the few activities that takes place on the project’s private management list. While it is expected that most votes will be unanimous, a two-thirds majority of the cast votes is enough. The vote needs to be open for at least 1 week.
Core developers that have not contributed to the project (commits or GitHub comments) in the past 12 months will be asked if they want to become emeritus core developers and recant their commit and voting rights until they become active again. The list of core developers, active and emeritus (with dates at which they became active) is public on the scikit-learn website.
Technical Committee¶
The Technical Committee (TC) members are core developers who have additional responsibilities to ensure the smooth running of the project. TC members are expected to participate in strategic planning, and approve changes to the governance model. The purpose of the TC is to ensure a smooth progress from the big-picture perspective. Indeed changes that impact the full project require a synthetic analysis and a consensus that is both explicit and informed. In cases that the core developer community (which includes the TC members) fails to reach such a consensus in the required time frame, the TC is the entity to resolve the issue. Membership of the TC is by nomination by a core developer. A nomination will result in discussion which cannot take more than a month and then a vote by the core developers which will stay open for a week. TC membership votes are subject to a two-third majority of all cast votes as well as a simple majority approval of all the current TC members. TC members who do not actively engage with the TC duties are expected to resign.
The initial Technical Committee of scikit-learn consists of Alexandre Gramfort, Olivier Grisel, Andreas Müller, Joel Nothman, Hanmin Qin, Gaël Varoquaux, and Roman Yurchak.
Decision Making Process¶
Decisions about the future of the project are made through discussion with all members of the community. All non-sensitive project management discussion takes place on the project contributors’ mailing list and the issue tracker. Occasionally, sensitive discussion occurs on a private list.
Scikit-learn uses a “consensus seeking” process for making decisions. The group tries to find a resolution that has no open objections among core developers. At any point during the discussion, any core-developer can call for a vote, which will conclude one month from the call for the vote. Any vote must be backed by a SLEP <slep>. If no option can gather two thirds of the votes cast, the decision is escalated to the TC, which in turn will use consensus seeking with the fallback option of a simple majority vote if no consensus can be found within a month. This is what we hereafter may refer to as “the decision making process”.
Decisions (in addition to adding core developers and TC membership as above) are made according to the following rules:
- Minor Documentation changes, such as typo fixes, or addition / correction of a sentence, but no change of the scikit-learn.org landing page or the “about” page: Requires +1 by a core developer, no -1 by a core developer (lazy consensus), happens on the issue or pull request page. Core developers are expected to give “reasonable time” to others to give their opinion on the pull request if they’re not confident others would agree.
- Code changes and major documentation changes require +1 by two core developers, no -1 by a core developer (lazy consensus), happens on the issue of pull-request page.
- Changes to the API principles and changes to dependencies or supported versions happen via a Enhancement proposals (SLEPs) and follows the decision-making process outlined above.
- Changes to the governance model use the same decision process outlined above.
If a veto -1 vote is cast on a lazy consensus, the proposer can appeal to the community and core developers and the change can be approved or rejected using the decision making procedure outlined above.
Enhancement proposals (SLEPs)¶
For all votes, a proposal must have been made public and discussed before the vote. Such proposal must be a consolidated document, in the form of a ‘Scikit-Learn Enhancement Proposal’ (SLEP), rather than a long discussion on an issue. A SLEP must be submitted as a pull-request to scikit-learn/enhancement_proposals using the SLEP template.


--- layout: documentation title: Command-Line Reference ---
bazel [<startup options>] <command> [<args>]or
bazel [<startup options>] <command> [<args>] -- [<target patterns>]
Options can be passed to Bazel in different ways. Options that require a value can be passed with either an equals sign or a space:
--<option>=<value> --<option> <value>Some options have a single character short form; in that case, the short form has to be passed with a single dash and a space.
-<short_form> <value>
Boolean options can be enabled as follows:
--<option> --<option>=[true|yes|1]and disabled as follows:
--no<option> --<option>=[false|no|0]
Tristate options are usually set to automatic by default, and can be force-enabled as follows:
--<option>=[true|yes|1]or force-disabled as follows:
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A target pattern refers to a single or more targets, which are source files, output files, or rules specified in BUILD files. In addition to plain labels, Bazel also supports working-directory-relative labels, recursive patterns, and target subtraction.
All target patterns starting with '//' are resolved relative to the current workspace.
//foo/bar:wiz |
Just the single target '//foo/bar:wiz'. |
//foo/bar |
Equivalent to '//foo/bar:bar'. |
//foo/bar:all |
All rules in the package 'foo/bar'. |
//foo/... |
All rules in all packages beneath the directory 'foo'. |
//foo/...:all |
All rules in all packages beneath the directory 'foo'. |
//foo/...:* |
All targets (rules and files) in all packages beneath the directory 'foo'. |
//foo/...:all-targets |
All targets (rules and files) in all packages beneath the directory 'foo'. |
Targets with tags=["manual"]
are not included in wildcard
target patterns (...
, :*
, :all
, etc).
Specify such test targets with explicit labels on the command line if
you want Bazel to build/test them.
Target patterns which do not begin with '//' are resolved relative to the current working directory. These examples assume a working directory of 'foo':
:foo |
Equivalent to '//foo:foo'. |
bar:wiz |
Equivalent to '//foo/bar:wiz'. |
bar/wiz |
Equivalent to: '//foo/bar/wiz:wiz' if foo/bar/wiz is a package, '//foo/bar:wiz' if foo/bar is a package, '//foo:bar/wiz' otherwise. |
bar:all |
Equivalent to '//foo/bar:all'. |
:all |
Equivalent to '//foo:all'. |
...:all |
Equivalent to '//foo/...:all'. |
... |
Equivalent to '//foo/...:all'. |
bar/...:all |
Equivalent to '//foo/bar/...:all'. |
By default, directory symlinks are followed for recursive target patterns, except those that point to under the output base, such as the convenience symlinks that are created in the root directory of the workspace.
In addition, Bazel does not follow symlinks when evaluating recursive target patterns in any directory that contains a file named as follows:
DONT_FOLLOW_SYMLINKS_WHEN_TRAVERSING_THIS_DIRECTORY_VIA_A_RECURSIVE_TARGET_PATTERN
Target patterns may be preceded by a single dash ('-
'), in which
case Bazel subtracts them from the set of targets accumulated by preceding
patterns. Note that this means order matters. In order to pass negative
target patterns, you need to use '--' as an argument to prevent Bazel from
interpreting it as an option, e.g.:
bazel build -- foo/... -foo/contrib/...Note that Bazel may still build targets matched by a negative target pattern due to dependencies, and may also load the corresponding BUILD files, even if the targets are never built.


Package com.pi4j.io.i2c
Interface I2CDevice
-
- All Known Implementing Classes:
I2CDeviceImpl
public interface I2CDevice
This is abstraction of an i2c device. It allows data to be read or written to the device.- Author:
- Daniel Sendula, refactored by RasPelikan
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description int
getAddress()
void
ioctl(long command, int value)
Runs an ioctl on this device.void
ioctl(long command, ByteBuffer data, IntBuffer offsets)
Runs an ioctl on this device.int
read()
This method reads one byte from the i2c device.int
read(byte[] buffer, int offset, int size)
This method reads bytes directly from the i2c device to given buffer at asked offset.int
read(byte[] writeBuffer, int writeOffset, int writeSize, byte[] readBuffer, int readOffset, int readSize)
This method writes and reads bytes to/from the i2c device in a single method callint
read(int address)
This method reads one byte from the i2c device.int
read(int address, byte[] buffer, int offset, int size)
This method reads bytes from the i2c device to given buffer at asked offset.void
write(byte b)
This method writes one byte directly to i2c device.void
write(byte[] buffer)
This method writes all bytes included in the given buffer directly to the i2c device.void
write(byte[] buffer, int offset, int size)
This method writes several bytes directly to the i2c device from given buffer at given offset.void
write(int address, byte b)
This method writes one byte to i2c device.void
write(int address, byte[] buffer)
This method writes all bytes included in the given buffer directory to the register address on the i2c devicevoid
write(int address, byte[] buffer, int offset, int size)
This method writes several bytes to the i2c device from given buffer at given offset.
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Method Detail
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getAddress
int getAddress()
- Returns:
- The address for which this instance is constructed for.
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write
void write(byte b) throws IOException
This method writes one byte directly to i2c device.- Parameters:
b
- byte to be written- Throws:
IOException
- thrown in case byte cannot be written to the i2c device or i2c bus
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write
void write(byte[] buffer, int offset, int size) throws IOException
This method writes several bytes directly to the i2c device from given buffer at given offset.- Parameters:
buffer
- buffer of data to be written to the i2c device in one gooffset
- offset in buffersize
- number of bytes to be written- Throws:
IOException
- thrown in case byte cannot be written to the i2c device or i2c bus
-
write
void write(byte[] buffer) throws IOException
This method writes all bytes included in the given buffer directly to the i2c device.- Parameters:
buffer
- buffer of data to be written to the i2c device in one go- Throws:
IOException
- thrown in case byte cannot be written to the i2c device or i2c bus
-
write
void write(int address, byte b) throws IOException
This method writes one byte to i2c device.- Parameters:
address
- local address in the i2c deviceb
- byte to be written- Throws:
IOException
- thrown in case byte cannot be written to the i2c device or i2c bus
-
write
void write(int address, byte[] buffer, int offset, int size) throws IOException
This method writes several bytes to the i2c device from given buffer at given offset.- Parameters:
address
- local address in the i2c devicebuffer
- buffer of data to be written to the i2c device in one gooffset
- offset in buffersize
- number of bytes to be written- Throws:
IOException
- thrown in case byte cannot be written to the i2c device or i2c bus
-
write
void write(int address, byte[] buffer) throws IOException
This method writes all bytes included in the given buffer directory to the register address on the i2c device- Parameters:
address
- local address in the i2c devicebuffer
- buffer of data to be written to the i2c device in one go- Throws:
IOException
- thrown in case byte cannot be written to the i2c device or i2c bus
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read
int read() throws IOException
This method reads one byte from the i2c device. Result is between 0 and 255 if read operation was successful, else a negative number for an error.- Returns:
- byte value read: positive number (or zero) to 255 if read was successful. Negative number if reading failed.
- Throws:
IOException
- thrown in case byte cannot be read from the i2c device or i2c bus
-
read
int read(byte[] buffer, int offset, int size) throws IOException
This method reads bytes directly from the i2c device to given buffer at asked offset.- Parameters:
buffer
- buffer of data to be read from the i2c device in one gooffset
- offset in buffersize
- number of bytes to be read- Returns:
- number of bytes read
- Throws:
IOException
- thrown in case byte cannot be read from the i2c device or i2c bus
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read
int read(int address) throws IOException
This method reads one byte from the i2c device. Result is between 0 and 255 if read operation was successful, else a negative number for an error.- Parameters:
address
- local address in the i2c device- Returns:
- byte value read: positive number (or zero) to 255 if read was successful. Negative number if reading failed.
- Throws:
IOException
- thrown in case byte cannot be read from the i2c device or i2c bus
-
read
int read(int address, byte[] buffer, int offset, int size) throws IOException
This method reads bytes from the i2c device to given buffer at asked offset.- Parameters:
address
- local address in the i2c devicebuffer
- buffer of data to be read from the i2c device in one gooffset
- offset in buffersize
- number of bytes to be read- Returns:
- number of bytes read
- Throws:
IOException
- thrown in case byte cannot be read from the i2c device or i2c bus
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ioctl
void ioctl(long command, int value) throws IOException
Runs an ioctl on this device.- Throws:
IOException
- See Also:
LinuxFile.ioctl(long, int)
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ioctl
void ioctl(long command, ByteBuffer data, IntBuffer offsets) throws IOException
Runs an ioctl on this device.- Throws:
IOException
- See Also:
LinuxFile.ioctl(long, ByteBuffer, IntBuffer)
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read
int read(byte[] writeBuffer, int writeOffset, int writeSize, byte[] readBuffer, int readOffset, int readSize) throws IOException
This method writes and reads bytes to/from the i2c device in a single method call- Parameters:
writeBuffer
- buffer of data to be written to the i2c device in one gowriteOffset
- offset in write bufferwriteSize
- number of bytes to be written from bufferreadBuffer
- buffer of data to be read from the i2c device in one goreadOffset
- offset in read bufferreadSize
- number of bytes to be read- Returns:
- number of bytes read
- Throws:
IOException
- thrown in case byte cannot be read from the i2c device or i2c bus
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Unsere Historie
A wonderful serenity has taken possession of my entire soul, like these sweet mornings of spring which I enjoy with my whole heart. I am alone, and feel the charm of existence in this spot, which was created for the bliss of souls like mine.
-
1977 - Verkauf & Service von Bobcat- Kompaktladern
A wonderful serenity has taken possession of my entire soul, like these sweet mornings of spring which I enjoy with my whole heart. I am alone, and feel the charm of existence in this spot, which was created for the bliss of souls like mine.
-
1981 - Übernahme Bomag-Vertretung für Verdichtungsgeräte
A wonderful serenity has taken possession of my entire soul, like these sweet mornings of spring which I enjoy with my whole heart. I am alone, and feel the charm of existence in this spot, which was created for the bliss of souls like mine.
-
1988 - Gründung der Handels- und Dienstleistungsgruppe Baumaschinen Bensheim GmbH
A wonderful serenity has taken possession of my entire soul, like these sweet mornings of spring which I enjoy with my whole heart. I am alone, and feel the charm of existence in this spot, which was created for the bliss of souls like mine.
- Higher quality service by optimizing transport routes, means of transportation and reducing costs
- Strong optimized supply chain infrastructure that will make a competitive advantage to your business
- Synchronized demand and supply which will enable easier and more accurate predictions of your clients needs
-
1993 - Gründung der Niederlassung in Schönerstadt
A wonderful serenity has taken possession of my entire soul, like these sweet mornings of spring which I enjoy with my whole heart. I am alone, and feel the charm of existence in this spot, which was created for the bliss of souls like mine.


List of Projects
-
Mantis
: is a space and time efficient data structure to index and query large collections of raw sequencing read experiments. The index is based on colored de Bruijn graph representation and therefore supports graph-based operations such as graph traversal, and bubble calling useful for assembly and variation detection. In our recent work we have advanced the index to more than 30,000 raw read sequencing samples and enabled the nice feature of gradual growth by making the index incrementally updatable.
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Pufferfish+Puffaligner
: This tool provides an efficient data structure for indexing colored compacted de Bruijn graphs which can achieve a balance between time and space resources by making use of succinct data structures and minimum perfect hash function. Pufferfish provides the underlying data structure for mapping short sequencing reads to a huge population of references while keeping the mapping information for each reference individually. Submitted to Recomb 2018.
PuffAligner, our recent work, is a highly sensitive aligner on top of Pufferfish for aligning different types of short sequencing reads to a huge population of references, specifically good in the representation of high similarity in the reference sequences.
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Rainbowfish
: This tool provides a new data structure to store and query colored de Bruijn graphs that in case of large data sets improves storage by more than twenty times compared to state-of-the-art tools without hurting performance of the queries.
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Grouper
: which is an extension on RapClust, is a tool for clustering contigs of a de novo transcriptome assembly. We improved the accuracy of clustering by making use of orphan reads, for which each end of the pair is mapped to a different reference sequence.
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MLDD
: Multi-Level Distribution Detection project (MLDD) is the one I worked on when I was in Data Science and NLP lab in 2015. Using statistical tests and classification models such as NaiveBayes we show how distribution of NLP features in social media changes in different levels of analysis (county, user, and message). This can highly affect prior assumptions for further text analysis as we show that central-limit theorem could be applied in social media language analysis as well.
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AutismFD
: In this project I designed a game application to improve face emotion detection in children with Autism. Beside collaboration with psychology students to design the method, I also implemented the idea as a tool in C# language. This package was used in a treatment center to help children with Autism to identify face emotions and track their progress over time.
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DDFactorization
: We design a new efficient and accurate factorization of likelihoods across equivalence classes of read fragments in Salmon, a transcript-level quantification estimation tool. Using the new model, the estimation accuracy improves significantly without hurting the run time.


BorderLayout
.is a frequently used layout manager.
The container it manages corresponds to a rectangle of screen.
That rectangle is divided up into five regions:
BorderLayout.NORTH
,BorderLayout.SOUTH
,BorderLayout.EAST
,BorderLayout.WEST
,BorderLayout.CENTER
.Each region may hold only one component, although that component may be a panel (and usually is). The size of the regions is adjusted depending on what is in them. You don't have to put a component in each region. If a region has no component in it, it shrinks to a small area.


1)
The geese walked around the fountain in the garden.
Plural
2)
Lunch is served at 12:30 p.m. in the cafetaria.
Singular
3)
The mice followed The Pied Piper of Hamelin.
Plural
4)
There were a dozen horses at the stud farm.
Plural
5)
Mrs. Sander’s pet cat licked its paw.
Singular
6)
The kids ran bare feet on the beach.
Plural
7)
Our classroom benches need to be repaired.
Plural
8)
A policeman patrols every night on our street.
Singular
9)
The child was very happy to get a new toy.
Singular
10)
I saw bright, twinkling stars on a no moon night.
Plural