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static
methods with an identical signature as a static
method of a superclass.
Because static
methods cannot override methods in superclasses, this may result in confusing semantics.
Example:
class Parent { static void method(){} } class Example extends Parent { static void method(){} //warning }


|
easy_perception_deployment
|
Public Member Functions | |
| def | __init__ (self, path_to_dataset, model_name, label_list) |
| def | setNumClassesInTrainingConfig (self) |
| def | train (self, debug) |
| def | createTrainFarm (self, debug) |
| def | runTrainFarm (self, debug) |
| def | createExportFarm (self, debug) |
| def | runExportFarm (self, debug) |
The Precision-Level 3 (P3) Trainer class object instantiates a training session using PyTorch's MaskRCNN-Benchmark for taking an input dataset and maskrcnn model from PyTorch model zoo in order to generate a custom-trained P3 ONNX model file.\n This model can then be deployed as a ROS2 package.
| def trainer.P3Trainer.P3Trainer.__init__ | ( | self, | |
| path_to_dataset, | |||
| model_name, | |||
| label_list | |||
| ) |
The constructor. Sets all the required fixed path to various files needed to start a training session.\n Calls setNumClassesInTrainingConfig function.
| def trainer.P3Trainer.P3Trainer.createExportFarm | ( | self, | |
| debug | |||
| ) |
A Mutator function that runs a bash script that downloads, creates an Anaconda3 environment called, p3_exporter for exporting the trained .pth file to the final ONNX model file.
| def trainer.P3Trainer.P3Trainer.createTrainFarm | ( | self, | |
| debug | |||
| ) |
A Mutator function that runs a bash script that downloads and creates the necessary environment for a MaskRCNN-Benchmark training session.
| def trainer.P3Trainer.P3Trainer.runExportFarm | ( | self, | |
| debug | |||
| ) |
A Mutator function that runs a bash script that runs p3_exporter environment for exporting the trained .pth file to the final ONNX model file.
| def trainer.P3Trainer.P3Trainer.runTrainFarm | ( | self, | |
| debug | |||
| ) |
A Mutator function that runs a bash script that utilizes the environment created in the createTrainFarm to run training session.
| def trainer.P3Trainer.P3Trainer.setNumClassesInTrainingConfig | ( | self | ) |
A Mutator function that modifies the various training session config files.
| def trainer.P3Trainer.P3Trainer.train | ( | self, | |
| debug | |||
| ) |
A Mutator function that conducts a fixed 300-epoch training session to generate the custom-trained P3 ONNX model using bash scripts.\n Calls createTrainFarm function.\n Calls runTrainFarm function.\n. Calls exportONNX function.


Here is the link to my completed labs for BIO 697: https://aloe1360.github.io/Ckitrinosgenomicscourse/


As we have discussed throughout this site, machine learning has profoundly affected all arenas of human life. However, it is important to remember that we as humans also play a role in the development of machine learning. Humans are responsible for:
| • Overseeing the collection of data. |
| • Writing code. |
| • Assessing the precision, accuracy, and effectiveness of algorithms. |
| • Tagging and creating training datasets. |
And without human oversight and engagement, the path of development of machine learning and the overarching goals of artificial intelligence will always remain elusive.
While data and machine learning algorithms on their own are not bias, we as human beings are. Through life experience, and developing a preference or an inclination towards or against something, bias develops in every human being. Though sometimes bias can be unreasoned, that is not to say that it permanent. As writer Adam Gopnik stated in The New Yorker, “Perhaps our intelligence is not just ended by our mortality; to a degree, it is our mortality.” And we would further argue that it our duty to ensure that our individual uniqueness is always accounted for in the use of algorithms, analysis of data, and the development of artificial intelligence.
To learn more about what is being done to prevent biased AI, and how you can contribute, we recommend the following links and articles for further reading.


 There are 5 steps to complete: 1 Balance sheet 2 Balance sheet statements 3 Balance sheet notes 4 Check before you submit 5 Approve and submit Once we’ve received your accounts, you’ll get a confirmation email (with a reference number) at<EMAIL_ADDRESS>{% endblock %}
Use this service to file prepared and approved small full accounts.
There are 5 steps to complete:
Once we’ve received your accounts, you’ll get a confirmation email (with a reference number) at jsmith@testcompany.co.uk


--- layout: post title: Problem with 3G date: 2004-12-23 00:00:00 category: mobile ---
Christian Lindholm on the problems 3G poses: "The future of mobility is not a bandwith problem. We have a screen problem and that is terminal. The only way to get around it in small handhelds is to design content specifically optimised for small handsets."


(out of ****)
_The_Legend_of_1900_ (R) *** 1/2
_The_War_Zone_ *** 1/2
_The_Legend_of_1900_ is, by every definition, a beautiful film: it's lovely to look at--and perhaps even moreso to listen to; and the acting is exquisite. Looks may not count for everything when it comes to movies, but in the case of Giuseppe Tornatore's old-fashioned cinematic fable, it is more than enough, creating an enchanting, emotional spell that is hard to resist.
Contrary to what the title may lead one to believe, _The_Legend_of_1900_ is not about one eventful year, but the many eventful years of a man born in and named for that year (played as an adult by Tim Roth). Abandoned by his birth parents as an infant, Nineteen Hundred is discovered and raised aboard the steam ship _The_Virginian_. A natural born pianist, his uncanny skill with the keys earns him a following among the many travelers who cross the Atlantic aboard the ship, even attracting the attention of the father of jazz himself, Jelly Roll Morton (Clarence Williams III). But Nineteen Hundred never sets foot off of his ship, and as he sees the world pass him fraction by fraction with each voyage, he wonders about a life on solid ground.
Tornatore's execution of the already sentimental story is as unabashedly manipulative as it sounds, and while it's understandable why some critics have thusly panned the film as being shameless claptrap, the broad execution fits. _The_Legend_of_1900_ is not a realistic story, but, as it is billed, a fable--a tale of larger-than-life characters and similarly exaggerated emotion. Ennio Morricone's grandiose score perfectly complements the atmosphere. The mechanisms do show a bit too clearly in the film's finale, which works too hard to get the audience to cry. The tear-wringing efforts may not work, but the fact that a palpable sense of sadness and loss lingers not only over the ending but the entire film shows how effectively Tornatore created his make-believe world.
A key factor in giving the fantasy world some grounding in reality are the actors. The versatile Roth is enormously sympathetic as the brilliant but lonely Nineteen Hundred; his tenderness may come as a shock to those more familar with the scuzzy characters he's known for playing. Just as critical to the film's success is the performance of Pruitt Taylor Vince, who is equally as touching as Max, Nineteen Hundred's trumpeteer best friend and the film's narrator.
For all the talk of the art behind the medium, film is all about transporting audiences to another place and time, removing them from their here-and-now into the world that is presented onscreen. _The_Legend_of_1900_ is not a perfect film--one is always acutely aware of the mechanics behind its manipulation--but for its intents and purposes, it doesn't have to be. One leaves the film reflecting on its beauty and special sense of magic--which is all that counts.
"Beauty" and "magic" are words that wouldn't come close to being used to describe the directorial debut of _1900_ star Roth, _The_War_Zone_. The film is not, as the title suggests, a war film, but emotional brutality of this grim tale is just as, if not more, disturbing as, say, the opening 20 minutes of _Saving_Private_Ryan_. The war zone in question is the modest four-person household in the countryside of Devon, England. The family appears to be nothing out of the ordinary, with the foibles of a modern unit, particularly one that has moved from the big city (London in this case) to the remote country. The father (Ray Winstone) is in the midst of ironing out business matters; the mother (Tilda Swinton) is due to give birth to her third child; the 15-year-old son, Tom (Freddie Cunliffe), misses his friends in London, and passes his spare time with his elder sister, the also-teenage Jessie (Lara Belmont).
But there's a dark truth bubbling under the surface, one that Tom stumbles upon one night, setting a course for disaster. I will not reveal what that truth is, but needless to say it's wholly unpleasant--and portrayed in a discomfiting, unflinching manner, for which Roth must be commended. He takes a great risk in confronting a sensitive subject with such brazen matter-of-factness, and the film's success does not come with the fact that he took the risk, but that he takes that risk without ever seeming exploitative. There is no sugarcoating nor glamorizing of the situation. He presents it as it is--raw and painfully real.
As is the case with many directorial projects by actors, the acting is uniformly solid in _The_War_Zone_; in fact, it's nothing short of extraordinary. Standing out among the impressive cast are the two gifted newcomers, Cunliffe and especially Belmont. The fact that these two are unfamiliar faces only heightens the realism, and, in turn, the film's devastating effect. A very rough sit, the uncompromising _The_War_Zone_ is by no stretch an enjoyable film, and for that reason, it is one to be greatly admired. (_The_War_Zone_ opens December 10)
Michael Dequina<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|<EMAIL_ADDRESS>Mr. Brown's Movie Site: http://welcome.to/mrbrown CinemaReview Magazine: http://www.CinemaReview.com on ICQ: #25289934 | on AOL Instant Messenger: MrBrown23
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A good programmer practices the art of formalizing his art into a science.
I hate the art part enough to try to get rid of it. But at the same time I love the art and hope we'll never get there.
Originally published on 2007-10-09 at http://www.jroller.com/wipu/entry/the_art_of_getting_rid under category Art of programming


Lesson: 3 Basic Visualization
The R Programming language has some of the most powerful data visualization packages available. These packages are continually expanded upon, with new data visualizations packages being created on a regular basis. In addition to packages that create your basic statistical visualization (line plots, bar plots, pie plots, etc) there are packages that create geospatial visualizations, 3D visualizations, as well as interactive visualizations.
Lets start by reading in the Korean Conflict data and perform the primary cleaning functions that we performed last lesson.
kor <- read.csv('KoreanConflict.csv', as.is=TRUE)
kor$BIRTH_YEAR <- as.numeric(kor$BIRTH_YEAR)
kor <- kor[!is.na(kor$BIRTH_YEAR),]
Now that we have the data in memory, we will use some basic visualizations to explore the data. In this lesson, we will primarily use visualizations from the ggplot2 package (Wickham and Chang 2016). If you haven’t installed this package yet, run the command install.packages('ggplot2')
.
3.1 Bar Plot
We will start by producing a basic barplot of categorical variables. First we’ll look at the BRANCH
field for the Korean Casualties.
library(ggplot2)
ggplot(kor, aes(BRANCH)) + geom_bar()
At first this command isn’t very intuitive. The ggplot
command is used with all visualizations. In this command it says that we will create a visualization of the kor
data set, and particularly look at the BRANCH
variable. The next command says to take this specific field and create a barplot (we could create other plots with this data as well.)
If we wanted to improve the color scheme, we could add fill = BRANCH
.
ggplot(kor, aes(BRANCH, fill = BRANCH)) + geom_bar()
Now, let’s add a title. Additionally, we will get rid of the legend, since it the labels are already on the axis.
ggplot(kor, aes(BRANCH, fill = BRANCH)) + geom_bar() +
ggtitle("Casualties by Service")+ theme(legend.position="none")
What if we wanted to stacked barplot? Say we wanted to see how the distribution of ETHNICITY in the service BRANCHES. First, let’s take a look at our categories:
table(kor$ETHNICITY_2)
##
## AMERICAN INDIAN/ALASKA NATIVE
## 103
## ASIAN
## 229
## BLACK OR AFRICAN AMERICAN
## 1146
## BLACK OR AFRICAN AMERICAN
## 3022
## HISPANIC ONE RACE
## 566
## NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER
## 142
## WHITE
## 28691
These are rather long names to display on a chart. We will start by creating shorter names. We can do this in the code below using the ``grep command that we learned in Lesson 2:
kor$ETHNICITY_2[grep("HAWAIIAN",kor$ETHNICITY_2)] <- "HAWAIIAN"
Now all we have to do to change in our previous code is to change the fill = BRANCH
to fill = ETHNICITY_2
:
ggplot(kor, aes(BRANCH, fill = ETHNICITY_2)) + geom_bar() +
ggtitle("Casualties by Service")
3.2 Pie Plot
Statisticians will generally tell you that you should never use a Pie Plot (usually a bar plot is recommended because it is easier for the human eye to distinguish differences in magnitude). That being said, there are still a few occasional times when a pie plot is necessary. For this plot, we are going to use a function from the BASE graphics package (this comes with R and you don’t have to load it). The pie plot is very easy to produce if we wrap the pie()
command around the table
command:
pie(table(kor$BRANCH), main = "Korean War Casualties by Service")
3.3 Histogram Plot
Now we’ll take a look at several ways to create histograms in R. This is where R will quickly outshine Microsoft Excel and other spreadsheet programs. While Excel can create a barplot just like R, it is extremely time consuming to create a histogram in Excel, whereas R can create one in one line code.
Let’s create a histogram of the age or each Korean Casualty. Notice that we don’t have a field that has age in it, but we do have the BIRTH_YEAR
and FATALITY_YEAR
. The calculation below will create a new field that is the AGE
of the casualty at death (notice that we remove all records with a FATALITY_DATE
after 1960 in order to remove those who were MIA and declared dead at a later time).
# Filter our MIA
kor2 <- dplyr::filter(kor, FATALITY_DATE < 1960)
# Coerce to numeric
kor2$FATALITY_YEAR <- as.numeric(kor2$FATALITY_YEAR)
kor2$BIRTH_YEAR <- as.numeric(kor2$BIRTH_YEAR)
# Create AGE field
kor2$AGE <- kor2$FATALITY_YEAR - kor2$BIRTH_YEAR
Now that we’ve created the AGE
field, we will use two different techniques to create a histogram. The Base R package has a histogram function that is easy to use and helpful for exploring data.
hist(kor2$AGE, freq=TRUE, main = "Historgram of Age", xlab = "AGE")
The ggplot2
package also has the ability to generate a histogram that is generally better for presentations.
ggplot(kor2, aes(AGE)) + geom_histogram() + ggtitle('Korean Casualty Age Distribution')
3.4 Time Series Plot
Time series plots (and line plots in general) are helpful in visually identifying trends and anomalies in data. We are going to change our data sets to look at the Olympic data. This data set is the data on all Olympic metals for the Summer Olympics from 1896 to 2012. This data set is available here:
https://s3.amazonaws.com/dscoe-data/summer.csv
You can download the file with the following command:
download.file("https://s3.amazonaws.com/dscoe-data/summer.csv", destfile = "summer.csv")
Now that you’ve acquired the data, read it into R and take a look at its structure with the following two commands:
oly <- read.csv('summer.csv', as.is = TRUE)
str(oly)
## 'data.frame': 31165 obs. of 9 variables:
## $ Year : int 1896 1896 1896 1896 1896 1896 1896 1896 1896 1896 ...
## $ City : chr "Athens" "Athens" "Athens" "Athens" ...
## $ Sport : chr "Aquatics" "Aquatics" "Aquatics" "Aquatics" ...
## $ Discipline: chr "Swimming" "Swimming" "Swimming" "Swimming" ...
## $ Athlete : chr "HAJOS, Alfred" "HERSCHMANN, Otto" "DRIVAS, Dimitrios" "MALOKINIS, Ioannis" ...
## $ Country : chr "HUN" "AUT" "GRE" "GRE" ...
## $ Gender : chr "Men" "Men" "Men" "Men" ...
## $ Event : chr "100M Freestyle" "100M Freestyle" "100M Freestyle For Sailors" "100M Freestyle For Sailors" ...
## $ Medal : chr "Gold" "Silver" "Bronze" "Gold" ...
Let’s say that we want to explore the trend of increased numbers of women participating in the Summer Olympics over the past century. To do this we could start by aggregating the number of Olympic medals by Year
and Gender
:
oly_sum <- aggregate(Athlete ~ Year + Gender, data=oly, length)
Let’s take a look at the first few lines of this new data set to make sure that it aggregated the data as we anticipated:
head(oly_sum)
## Year Gender Athlete
## 1 1896 Men 151
## 2 1900 Men 501
## 3 1904 Men 458
## 4 1908 Men 789
## 5 1912 Men 855
## 6 1920 Men 1255
Everything looks good. Now we have a data set that we can use to create a time series line plot. We create this plot below:
ggplot(oly_sum, aes(Year, Athlete, group = Gender, color = Gender)) + geom_line() + ggtitle('Summer Olympic Metals by Gender')
From this graph we see that there was significant growth in the participation of women in the Olympics starting in the 1970’s (we also see an interesting spike in the number of medals for men in the 1920’s that we could explore if desired).
Now let’s select a few of the prominent countries in the Summer Olympics (we’ll look at the permanent members of the UN Security Council: United States, Great Britain, France, China, and Russia). To start this let’s first look at the table of countries listed in the data set.
table(oly$Country)
##
## AFG AHO ALG ANZ ARG ARM AUS AUT AZE BAH BAR BDI BEL BER
## 4 2 1 15 29 259 11 1189 146 26 27 1 1 411 1
## BLR BOH BOT BRA BRN BUL BWI CAN CHI CHN CIV CMR COL CRC CRO
## 113 7 1 431 1 333 5 649 33 807 1 23 19 4 114
## CUB CYP CZE DEN DJI DOM ECU EGY ERI ESP EST ETH EUA EUN FIN
## 410 1 56 507 1 6 2 28 1 442 39 45 260 223 456
## FRA FRG GAB GBR GDR GEO GER GHA GRE GRN GUA GUY HAI HKG HUN
## 1396 490 1 1720 825 25 1305 16 148 1 1 1 8 4 1079
## INA IND IOP IRI IRL IRQ ISL ISR ISV ITA JAM JPN KAZ KEN KGZ
## 38 184 3 61 30 1 17 7 1 1296 127 788 49 93 3
## KOR KSA KUW LAT LIB LTU LUX MAR MAS MDA MEX MGL MKD MNE MOZ
## 529 6 2 20 4 55 2 22 8 6 106 24 1 14 2
## MRI NAM NED NGR NIG NOR NZL PAK PAN PAR PER PHI POL POR PRK
## 1 4 851 84 1 554 190 121 3 17 15 9 511 33 58
## PUR QAT ROU RSA RU1 RUS SCG SEN SGP SIN SLO SRB SRI SUD SUI
## 8 4 640 106 17 768 14 1 4 4 26 31 2 1 380
## SUR SVK SWE SYR TAN TCH TGA THA TJK TOG TPE TRI TTO TUN TUR
## 2 34 1044 3 2 329 1 25 3 1 44 20 10 10 86
## UAE UGA UKR URS URU USA UZB VEN VIE YUG ZAM ZIM ZZX
## 1 7 173 2049 76 4585 20 12 2 435 2 23 48
Studying this data a bit, we see that the ISO-3 code for Russia changed from URS to RUS after the fall of the Soviet Union. For our analysis, we will change all USR data to RUS.
oly$Country[oly$Country=="URS"] <- "RUS"
Now will will aggregate the data by Year
and Country
as well as filter out the counties we are interested in (notice how we create a vector of our five countries and then use the %in%
function to filter out multiple countries):
library(dplyr)
oly_country <- aggregate(Medal ~ Country + Year, data = oly, length)
countries <- c('USA','GBR','FRA','CHN','RUS')
oly_country2 <- filter(oly_country, Country %in% countries)
Having completed this, we will now plot a time series plot by country for the last century.
ggplot(oly_country2, aes(Year,Medal,group = Country, color = Country)) + geom_line() + ggtitle('Summer Olympic Metals by Country')
This plot highlights a bit of the history of the summer Olympics. Note that Russia began competing in the 1950’s and China didn’t begin competing until the mid-1980’s. While the US has the longest sustained volume, Russia has the highest number in a single year (1980). While Great Britain had a surge at the turn of the century, it has decreased to ~50 medals in the 1920’s, and stayed near this mark for most the century (as has France).
3.5 Practice Problem
Using the Olympic Data and Google, try to recreate the plot below with a horizontal barplot and bars ordered by volume of medals.
References
Wickham, Hadley, and Winston Chang. 2016. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.


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Layout is a blatant imitation of <antirez>.


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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/rewrite.20under.20a.20pi.html ---
import data.real.basic lemma quadroots {x : ℝ} : x ^ 2 - 3 * x + 2 = 0 ↔ x = 1 ∨ x = 2 := sorry example : ∀ x : ℝ, ¬ (x ^ 2 - 3 * x + 2 = 0 → x = 1) := begin rw quadroots, -- fails sorry end
I thought this would work. I have to intro x
before it does. I know that rw
can fail to rewrite under a lambda, but this is not a lambda, right? Can Lean also not rewrite under a pi?
it cannot rewrite under a binder, because it needs to produce a substitution instance in the outer context
To be clear, you can rewrite expressions that don't make use of the binder, like rewriting y
to z
in \lam x, x = y
but since rw
constructs an eq.rec
term in the outer context it doesn't make sense to refer to x
Think of it this way: rw quadroots
is really rw [quadroots _]
. What should go in for _
?
Interesting. I also encountered this exact question the other day--I expected rw
to work in a similar situation, rewriting under a Pi, because it wasn't rewriting under a lambda. But I don't remember what ended up happening. It's possible I was in the "doesn't depend on x" situation.
Can I think about it this way? I expect rw
to apply something like "Pi.congr
". But what is the argument to Pi.congr
. It should just be an equality I intend to rewrite along, not something of the form \all x, f x = g x
rw
does not use Pi.congr
or anything like it
that's how simp
works
rw
only uses eq.rec
, i.e. the substitution property of equality
Right, okay. But eq.rec
still has that argument we have to provide
so your goal has to have the form |- P a
in the current context, and it is given an equality |- a = b
, again in the current context (it may have metavariables but they have to be resolved in the current context), to produce |- P b
In particular, it must be possible to write your goal as some function applied to the thing you want to rewrite, and this implies that it can't be a term that exists under a binder
It's like you only know equality at one point and want to generalize to equality at all points - it doesn't work
If you use a quantified equality as input to rw
, it first applies some metavariables with the hope of matching them in the term, but before it has entered any binders. So that means you can always specify them yourself and give straight equations to rw
with no loss of generality, unlike with simp
where quantified equations are really more powerful
In my example, it's clear what I mean -- I want to rewrite "forall x, q(x)=0 -> ..." as "forall x, (x=1 or x=2) -> .."
There doesn't seem to be anything stopping that rewrite in theory
I can do it with intro, rw, revert. I'm not sure my users can though.
I guess they'll have to ;-)
Of course, I follow. I'm just saying that's not how rw
works
the closest approximation to rw
+ binders is conv {rw}
Thank you Mario for your explanation. I find now I'm a more mature Lean user that when things like this happen I am now interested in understanding why they're failing (rather than banging my head against a table)
import data.real.basic lemma quadroots {x : ℝ} : x ^ 2 - 3 * x + 2 = 0 ↔ x = 1 ∨ x = 2 := sorry example : ∀ x : ℝ, ¬ (x ^ 2 - 3 * x + 2 = 0 → x = 1) := begin simp only [quadroots], -- WORKS! sorry end
right. simp
uses a different algorithm, based on congruence lemmas, which has the advantage that you can rewrite under binders
Rather than trying to match the goal all in one go like rw
, it recurses into the term with things like funext
that actually give you the opportunity to bubble those equalities into the inner context
rofl just noticed example is mathematically wrong ;-) [forall needs to go inside the brackets]
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


"Um homem sábio pode aprender mais com uma pergunta tola do que um tolo pode aprender com uma resposta sábia."
Bruce Lee
Bruce Lee
Greatest martial artist who inspired generations.
Tribute info
- 1941 - Lee and his family relocate to Hong Kong.
- 1941 - Stars in his first acting role in the movie Golden Gate Girl.
- 1950 - Co-stars with his father in the film The Kid.
- 1952 - Enrolls at the Catholic La Salle College primary school; he later transfers to St. Francis Xavier’s College.
- 1956-1957 - Refines his fighting skills to gain more discipline and control; he is tutored in Wing Chun by the famous instructor Yip Man.
- 1958 - Wins a boxing competition organized by his school.
- 1958 - Displays his multifaceted talents and wins the Crown Colony Cha-Cha dancing competition in Hong Kong.
- 1958 - Arrives in the U.S. just in time before his 18th birthday in order to claim his American citizenship.


Now would be a good time to save the template.
1. Right-click the root tree node (the top node containing the word "Default") and select the "Save As..." menu item.
Figure 3.1 Select the "Save As..." menu item.
You can use any file name. Template files have the extension ".XML" but that will be added automatically if you don't type it.
If you want a template to always be associated with a certain type of file give it a name starting with an underscore followed by the file extension used for that type of file. For example, if you want the new template associated with all .TXT files then give it the name "_TXT.XML".
2. Give the file a name of "_TXT" and click the "Save" button.
Figure 3.2 Save the template with the name "_TXT".
Modifying the Template
There are still a few minor problems with the template which we will now fix.
The template name (displayed in the root node) is different to the file name. The template name is still "Default" so we should change it to something more meaningful.
3. Right-click the root node of the tree and select the "Edit..." menu item, which brings up the "STRUCT" dialog.
Figure 3.3 Edit the root node.
You can also just double-click a node to edit it.
4. Change the name from "Default" to something like "ASCII_Text_File" in the STRUCT dialog.
A "STRUCT" is just a sequence of other elements (FOR, DATA, STRUCT etc). You can add STRUCTs throughout a template. The root node is just a special case of a STRUCT which contains all other elements of the template.
Under the "Name" filed is the main part of the STRUCT dialog - a list-box showing all the elements contained in the STRUCT. To the right of the list are buttons to change the entries. You can edit, insert, delete and reorder the entries in the list.
To append an element to the end of the list select the empty entry past the last element in the list and click the Insert button.
Like the FOR dialog the STRUCT dialog contains "comments" and "type name" fields which you can put meaningful information into. The "display" field is used to display information next to the template name in the root node - see STRUCT Dialog for more information.
The list of elements should currently have just 2 entries: one "FOR" element for the lines of text; and one DATA element called "none". We no longer need the "none" element.
5. Select "none" in the list and click the Delete button (which contains a red X) and click OK to confirm the deletion. Then click OK to close the STRUCT dialog.
Figure 3.4 STRUCT dialog.
Saving the Template
You can easily save you changes at any time by right-clicking the root node and selecting the "Save" menu item. When you close the data file the associated template is also closed. If you try to close without saving the template HexEdit will prompt you to save it.
6. Close the text file, and when HexEdit prompts you click the Save button.


Over 85% of UCR undergraduate students receive financial aid. 70% of those that receive it have their full fees covered by grants and/or scholarships. UCR students who borrow federal loans graduate with an average student loan debt of $21,500 – just 1/5 of the actual total cost of tuition and housing.
See how much UCR costs and then use the UCR Net Price Calculator to get a more accurate estimate of your cost plus the financial aid you could receive at UCR.
If you see that your financial aid on Growl Current Activity is “Aid on Hold,” select the “Holds” item on the menu bar for a description of the hold and how to resolve it (e.g., loan documents to be completed).
File your FAFSA or Dream Act Application every year (even if you don't think you'll qualify)! You have nothing to lose and everything to gain.
GET THE LATEST UPDATES FROM OUR OFFICE
MARCH 2, 2016 - On-time priority deadline to submit your FAFSA at fafsa.gov for the 2015-16 Academic Year (including this summer).
MARCH 2, 2016 - On-time priority deadline to submit your California Dream Act Application to the California Student Aid Commission.
MARCH 2, 2016 - Deadline for new Cal Grant applicants who enrolled at UCR for the first time in 2016-17 to have their prior high school or transfer college submit a Cal Grant GPA Verification Form to the California Student Aid Commission.
MARCH 2, 2016 - Deadline to complete the UCR Continuing Student Scholarship Application.
MAY 16, 2016 – Financial Aid Priority Document Deadline
JUNE 15, 2016 – On-time deadline to submit any financial aid documents requested on Growl.
MAY 1, 2016 - Deadline to complete an online Request for Summer Aid (available on Growl about April 1st) to be considered for summer financial aid.
NOVEMBER 1, 2016 – Deadline to Submit an On- Time Appeal.
You don't need to fill out a separate application to qualify for the Blue and Gold Opportunity Plan. You will receive the benefits automatically if you meet the following eligibility requirements:
What's covered?
If you're eligible, your system-wide tuition and fees will be fully covered by scholarship or grant money. The plan combines all sources of scholarship and grant awards you receive (federal, state, UC and private) to go toward covering your tuition and fees. Students with greater financial need can qualify for even more grant support to help defray other educational expenses (like books, housing, transportation, etc.).
How do I apply? What are the deadlines? Who is my financial aid counselor?
Get answers.
If your family has experienced a significant loss of income, we can help. Learn more and contact us.


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{% block interviewtableheader %}
Interviews List | List of all Interviews
{% endblock %}
{% block interviewtabledescription %}
{% endblock %}
This table shows all the petitioners who have been interviewed across all the prisons. You can search using any criteria
{% endblock %} {% block replacedatefilter %}| S/No | PM. Number | Name | Prison No | Prison | Nationality | Court Case No | Conviction Age | Current Age | Period Spent in Custody | Sentence | Court | Offense Age | Next of Kin | Next of Kin Relationship | Contact Person | Contact Person Tel | County | Sub County | Home Location | Nearest School | Home Chief | location of Offense | Date of Conviction | Date of Custody | Relief Sought | Offence | Particulars of Offense | Charged Alone for the Offence | Names of CO-Accussed | Knowledge of the Victim | Name of the Victim | Victims Residence | Previous Convictions | Previous Petition | Date of Previous Petition | Reason for Denial of Petition | Reasons for Current Petition | Disciplinary action in prison | Details of Disciplinary Action | Special Condition | Details of Special Condition | Trustee | Date of Promotion to Trustee | Skills | Skills Details | Appealed | Appeal Case No | Appeal Outcome | Pending Court Matter | Pending Court Matter Explanation | Representative / Applicant | Petition Added By | Petition Added On | Own account of circumstances sorrounding commission of offense | Reconcialiation efforts with the victims of the offense that led to the current conviction | Indication of Remorsefulness or Otherwise | Any other comments | Representation of victims (if applicable) | Concluding observations of majority Members in view of the hearings and Interviews conducted in the Petition | Chairperson's Vote | Chairperson's Reason | ViceChairperson's Vote | Vice Chairperson's Reason | Cabinet Secretary's (Interior) Vote | Cabinet Secretary's (Interior) Reasons | Member 1's Vote | Member 1's Reason | Member 2's Vote | Member 2's Reason | Member 3's Vote | Member 3's Reason | Member 4's Vote | Member 4's Reason | Member 5's Vote | Member 5's Reason | Member 6's Vote | Member 6's Reason | Final Resolution | Interview Summary Created By | Interview Summary Created on | Interview Summary last updated By | Interview Summary last updated on | ||||||||||||||||||||
| {{ forloop.counter }} | PM/{{ object.hearing.admissibility.petitioner.created.date.year }}/{{ object.hearing.admissibility.petitioner.created.date.month }}/{{ object.hearing.admissibility.petitioner.created.date.day }}/{{ object.hearing.admissibility.petitioner.pk }} | {{ object.hearing.admissibility.petitioner.name |title }} | {{ object.hearing.admissibility.petitioner.prisonno }} | {{ object.hearing.admissibility.petitioner.prison|title }} | {{ object.hearing.admissibility.petitioner.nationality|title }} | {{ object.hearing.admissibility.petitioner.courtcaseno }} | {{ object.hearing.admissibility.petitioner.ageatconviction }} Years | {{ today.year|sub:object.hearing.admissibility.petitioner.dateofconviction.year|add:object.hearing.admissibility.petitioner.ageatconviction }} Years | {{ today.year|sub:object.hearing.admissibility.petitioner.dateofcustody.year }} Years | {% if object.hearing.admissibility.petitioner.convictedforlife == True %}Life | {% else %}{{ object.hearing.admissibility.petitioner.sentence }} Years | {% endif %}{{ object.hearing.admissibility.petitioner.court|title }} | {{ object.hearing.admissibility.petitioner.agewhenoffensewascommited }} Years | {{ object.hearing.admissibility.petitioner.nextofkin |title}} | {{ object.hearing.admissibility.petitioner.relationshipwithnextofkin |title}} | {{ object.hearing.admissibility.petitioner.contactperso|title }} | {{ object.hearing.admissibility.petitioner.telnoofcontactperson }} | {{ object.hearing.admissibility.petitioner.county |title}} | {{ object.hearing.admissibility.petitioner.subcounty|title }} | {{ object.hearing.admissibility.petitioner.location|title }} | {{ object.hearing.admissibility.petitioner.nearestschool|title }} | {{ object.hearing.admissibility.petitioner.homechief|title }} | {{ object.hearing.admissibility.petitioner.whereoffensewascommitted |lower|capfirst }} | {{ object.hearing.admissibility.petitioner.dateofconviction }} | {{ object.hearing.admissibility.petitioner.dateofcustody }} | {{ object.hearing.admissibility.petitioner.reliefsought }} | {{ object.hearing.admissibility.petitioner.offence |title}} | {{ object.hearing.admissibility.petitioner.natureandparticularsofoffense }} | {% if object.hearing.admissibility.petitioner.chargedalonefortheoffense == True %}Yes | {% else %}No | {% endif %}{{ object.hearing.admissibility.petitioner.namesofcoaccused }} | {% if object.hearing.admissibility.petitioner.knowledgeofthevictim == True %}Yes | {% else %}No | {% endif %}{{ object.hearing.admissibility.petitioner.nameofvictim }} | {{ object.hearing.admissibility.petitioner.areaofresidence }} | {{ object.hearing.admissibility.petitioner.previousconvictions }} | {% if object.hearing.admissibility.petitioner.previouspetition == True %}Yes | {% else %}No | {% endif %}{{ object.hearing.admissibility.petitioner.dateofpreviouspetition }} | {{ object.hearing.admissibility.petitioner.reasonofdenialofpreviouspetition }} | {{ object.hearing.admissibility.petitioner.reasonforcurrentpetition }} | {% if object.hearing.admissibility.petitioner.anydisplinaryactioninprison == True %}Yes | {% else %}No | {% endif %}{{ object.hearing.admissibility.petitioner.detailsofdisplinaryactioninprison }} | {% if object.hearing.admissibility.petitioner.anyspecialcondition == True %}Yes | {% else %}No | {% endif %}{{ object.hearing.admissibility.petitioner.detailsofspecialcondition }} | {% if object.hearing.admissibility.petitioner.areyouatrustee == True %}Yes | {% else %}No | {% endif %}{{ object.hearing.admissibility.petitioner.dateofpromotiontotrustee }} | {% if object.hearing.admissibility.petitioner.anyspecialattributesorskills == True %}Yes | {% else %}No | {% endif %}{{ object.hearing.admissibility.petitioner.explanationofspecialattributesorskills }} | {% if object.hearing.admissibility.petitioner.appealedagainsttheconviction == True %}Yes | {% else %}No | {% endif %}{{ object.hearing.admissibility.petitioner.appealcaseno }} | {{ object.hearing.admissibility.petitioner.appealoutcome }} | {% if object.hearing.admissibility.petitioner.anypendingcourtmatter == True %}Yes | {% else %}No | {% endif %}{{ object.hearing.admissibility.petitioner.explanationofpendingcourtmatter }} | {% if object.hearing.admissibility.petitioner.isttheapplicantthepetitioner == True %}Petitioner | {% else %}{{ object.hearing.admissibility.petitioner.nameofapplicant }} Relationship: {{object.hearing.admissibility.petitioner.relationshipofapplicantwithpetitioner }} Address: {{ object.hearing.admissibility.petitioner.addressoftheapplicant }} Phone: {{ object.hearing.admissibility.petitioner.telephonenumberoftheapplicant }} | {% endif %}{{ object.hearing.admissibility.petitioner.added_by |title}} | {{ object.hearing.admissibility.petitioner.created }} | {{ object.ownaccountofcircumstances }} | {{ object.reconciliationefforts }} | {{ object.indicationofremosefulness }} | {{ object.anyothercomments }} | {{ object.representationofthevictim }} | {{ object.concludingobservations }} | {% if object.chairpersonvote == True %}Recommended | {% else %}Not Recommended | {% endif %}{{ object.chairpersonvotereason }} | {% if object.vicechairvote == True %}Recommended | {% else %}Not Recommended | {% endif %}{{ object.vicechairvotereason }} | {% if object.csvote == True %}Recommended | {% else %}Not Recommended | {% endif %}{{ object.csvotereason }} | {% if object.m1vote == True %}Recommended | {% else %}Not Recommended | {% endif %}{{ object.m1votereason }} | {% if object.m2vote == True %}Recommended | {% else %}Not Recommended | {% endif %}{{ object.m2votereason }} | {% if object.m3vote == True %}Recommended | {% else %}Not Recommended | {% endif %}{{ object.m3votereason }} | {% if object.m4vote == True %}Recommended | {% else %}Not Recommended | {% endif %}{{ object.m4votereason }} | {% if object.m5vote == True %}Recommended | {% else %}Not Recommended | {% endif %}{{ object.m5votereason }} | {% if object.m6vote == True %}Recommended | {% else %}Not Recommended | {% endif %}{{ object.m6votereason }} | {{ object.finalresolution }} | {{ object.added_by|title }} | {{ object.created }} | {{ object.updated_by |title}} | {{ object.last_updated }} |


In 1994, Communication Distribution Solutions SRL (C.D.S.) started as a privately owned Romanian-German joint capital company, offering software development and operational support for a sophisticated GIS-based physical network inventory management system. Working for the german market we got to take on the methodologies used in Western Europe and we implemented them in our team. Understanding the concept of outsourcing, we learned how to work from remote locations and improved our software delivery process. The goal of our team of 14 programmers and testers is to offer our customers reliable software solutions for improving their business. Read more..
We are a company mostly geared towards the needs and wants of our customers. As such, we consider the customers to be the most important elements in self-evaluation of our company, and we strive to offer them products based on the latest available software technologies, fully supported with assistance and maintenance services. We are used to working side-by-side with our customers, as we guide each other through every step of the work done on bringing the end-product to life. The company was well positioned in Alba Iulia, a city with a known University and with a great section of Faculty of Exact Sciences and Engineering. BA programmes ensured a significant pool of talents for us. The short distance from Sibiu airports (80 km), Cluj (100 km) and Targu Mures (120 km) provide easy access to national and international airports.
Our team provides fast and cost effective software development solutions using well established technologies.
Java Technologies: J2EE, Servlets, JSP, EJB3, Hibernate, JSF .NET Technologies: C#, C++ Windows development and MFC Database Engines: Oracle, MS SQLServer, MySQL, PostgreSQL Mobile and Web Front-end Technologies: HTML5, CSS3, JavaScript, jQuery, jQuery mobile & UI, OpenLayers, Angular, Bootstrap. iOS and Android included.
Careers - Current Openings
from 19.12.2018
We are looking for a new colleague for the role of C ++ developer. Nice to have some Oracle knowledge.
We would like to tell you more about what this position implies and about the people you work with.
CV to<EMAIL_ADDRESS>COMMUNICATION DISTRIBUTION SOLUTIONS SRL, CUI 6424218, ROONRC. J1/1198/1994, Alba Iulia, str. Primaverii nr. 18, tel. +4 0740 177 811


The following is a list of projects I've been working on dating back to 2014. You can click on them to go to their respective pages and read about them in detail. (All dates given are in American format)
| Name | Date Began | Progress/Completed Date | Platform | Language |
|---|


// I love art and code.
I have spent a few years talking about and teaching programming to people as young as 8 and as old as 80. The one interest I've been able to map to all ages is art. Teaching people to code using art as a motivation has been a fun learning and teaching experience but, to be quite honest, I could learn a lot more from both subjects.
var t;
(pronounced "vart," which rhymes with "fart" because I am 12) is a writing, art, and code project that I started to teach me and you about art, as well as to create interactive works that may motivate art lovers to program their own stuff.
I hope you have as much fun reading, learning, and playing with art as much I did making it.
xoxo j$


Predicted the future web traffic for approximately 145,000 Wikipedia articles using sequence-to-sequence neural networks
Computed the average life expectancy of people from 100+ countries using the WHO Global Health Observatory Data and the Linear Regression model
Trained an LSTM model using PyTorch and RNNto generate poems in English by providing 15000+ poems as dataset
Created a machine learning model to classify events into "tau tau decay of Higgs boson" versus "background noise"
Created an interactive COVID-19 live dashboard, featured on Voila, using the Johns Hopkins University Dataset


{% load static %}
Hosted by MLH. An initiative by Open Source Community
An initiative by Open Source Community
Hosted by OSC
Lorem amet consectetur, adipisicing elit
A view of the VIT-AP campus


| Drag a columm and drop it here to group by that column | |||||
|---|---|---|---|---|---|
| ProductID | Product name | Unit price | Quantity per unit | Units in stock | Discontinued |
| 1 2 3 4 5 6 7 8 9 10... page size 335104 items in 33511 pages | |||||
| 1 | Chai | $18.00 | 10 boxes × 20 bags | 39 | |
| 2 | Chang | $19.00 | 24-12 oz bottles | 17 | |
| 3 | Aniseed suryp | $10.00 | 12-550 ml bottles | 13 | |
| 4 | Chef Anton's Cajun Seasoning | $22.00 | 48 - 6 oz jers | 53 | |
| 5 | Chef Anton's Gumbo Mix | $21.35 | 36 boxes | 0 | |
| 6 | Grandma's Boysemberry Spread | $25.00 | 12-8 oz jars | 120 | |
| 7 | Uncle Bob's Organic Dried Piers | $30.00 | 12-1 lb pkgs. | 15 | |
| 8 | Nothwoods Cranberry Sauce | $40.00 | 12-12 oz jars | 6 | |
| 9 | Mishi Kobe Niku | $97.00 | 18-500 g pkgs. | 29 | |
| 10 | Ikura | $31.00 | 12-200 ml jars | 31 |


Organization Name:
Founded:
Website:
Date:
Grant Source:
Address:
Dear:
We are excited to submit the grant proposal for to your esteemed organization. As a dedicated organization, we are committed to creating positive change through regenerative placemaking, environmental sustainability, and humanitarian initiatives.
We believe that 's focus on aligns perfectly with our project goals and aspirations. With this grant, we aim to make a lasting impact on our community and contribute to a sustainable future.
We appreciate your time and consideration in reviewing our proposal. We look forward to the opportunity of discussing our project further and exploring how we can collaborate to create a better world.
Sincerely,
is an innovative initiative aimed at . This project will address the critical challenges of by leveraging the principles of regenerative placemaking and environmental sustainability.
will be implemented in collaboration with key stakeholders, including community organizations, local government, and academic institutions. Through this collaborative approach, we will ensure the project's success and sustainability.
The primary goals of are:
Through a comprehensive needs assessment, we have identified the following key needs within our community that aims to address:
will be implemented using the following methodology:
To ensure the effectiveness of , we will conduct a thorough evaluation using both qualitative and quantitative measures. The evaluation will focus on assessing the impact of the project on .
The proposed budget for is as follows:
is designed to be sustainable beyond the grant period. We have developed a comprehensive sustainability plan that includes:
The appendices include supporting documents and additional information relevant to . These documents include:


DUCK is a language independent, interactive, software visualization analysis tool, which supports presenting polymetric views of source code. Please follow the instructions to retrieve the visualization graphs:
Uploading the source codes below.
Retrieve the visual representation by selecting from the left column.
Project List
{% if projectList %}
{% for p in projectList %}
{% endfor %}
{% endif %}


Become a client or refer someone in need.
Make a difference and help nourish our community.
Provide meals with love for neighbors who might otherwise be alone or hungry.
Providing Nutritious Meals with Love to Seniors and Critically Ill Neighbors
Help us create a warm, welcoming environment and serve meals with a smile to seniors and adults with disabilities.
Learn more- Sponsored By -


Arrays.setAll()
The loops like this are reported:
for (int i=0; i<array.length; i++) { array[i] = calc(i); }
This inspection is available since Java 8 only.


MySQL 5.5+
The MySQL talk was given by Dave Stokes of Oracle. He's the MySQL community manager. The ZendCon summary:
MySQL had been evolving since the Oracle take over in 2010. This session will cover how new features like multi-threaded replication, InnoDB-Memcached plugin for NoSQL data access, or having InnoDB as the default storage engine will change life for PHP developers. Learn how partitioning and new performance metrics will allow allow better access speed and more control over your MySQL instances.
This talk was about the improvements with MySQL since the take over by Oracle. Many in the community feared the Oracle take over, but in reality it has been good for MySQL.
They are adding huge features to MySQL
- Massive improvements for MySQL on Windows
- RTMF method to setup replication
- More secure
- Innodb improvements
I was able to connect with Dave and get the slides. You can download them below.
Download slides -> MySQL update Zendcon


@INPROCEEDINGS{7083832,
author={S. Chatterjee and S. Sarkar and S. Misra},
booktitle={2015 Applications and Innovations in Mobile Computing (AIMoC)},
title={Energy-efficient data transmission in sensor-cloud},
year={2015},
volume={},
number={},
pages={68-73},
keywords={cloud computing;data communication;energy conservation;energy consumption;telecommunication power management;wireless sensor networks;VSN;energy consumption;energy-efficient data transmission;sensor cloud;underlying physical sensor nodes;underlying sensor network;virtual sensor network;Bridge circuits;Bridges;Data communication;Decision making;Energy consumption;Mathematical model;Wireless sensor networks;Energy efficiency;Sensor-cloud;Virtual Sensor Network (VSN);Wireless Sensor Network (WSN)},
doi={10.1109/AIMOC.2015.7083832},
ISSN={},
month={Feb}
}


Customer Information
This is where you provide the necessary information
Delivery information:
Please indicate point of delivery:
{{order.orderId}}
Name: {{info.name}}
Email: {{info.email}}
Deliver to: {{orders[0].details.x.toFixed(2)}} x /
{{orders[0].details.y.toFixed(2)}} y
Payment: {{info.payment_options}}
Gender: {{info.gender}}
Burgers: ,
{{selectedBurger}}


Get insights
that help your business grow.
Discover the benefits of data analytics and make better decisions regarding revenue, customer
experience, and overall efficiency.
| 10k+ | 314 | 12m+ |
|---|---|---|
| COMPANIES | TEMPLATES | QUERIES |


I wrestled with addiction to Vicodin, OxyContin, and Methadone for nearly 2 years before I discovered outpatient treatment with Buprenorphine (aka Suboxone). In no uncertain terms, this is a miracle drug.
I'm sure many addicts feel the hopelessness that I felt. I've never met an addict that didn't want to stop. For me, I had a job. A mortgage. A car payment. I convinced myself that I have to keep using because I couldn't possibly take 2-3 months off of work to go away to a treatment center. For over a year I moved my addiction from OC to methadone (acquired illegaly, not thru a clinic) and just kept feeling more and more out of depressed and helpless.
Then one day my Mother confronted me and we began searching for treatment options. When I discovered Suboxone I was intrigued. Unfortunately it was nearly impossible to find a doctor near in my (midsized) city that didn't have a huge waiting list for patients. This is common because the Federal Gov't only allows doctors to treat 30 patients at a time. I found a doctor 3 hours away and within a week I was undergoing the initial stages of Suboxone treatment, known as induction. You have to stop using any other drugs for 1-2 days before starting Suboxone, so you do have to tolerate the withdrawl for at least that long.
When I left the doctors office with a prescription for 300 pills, one month supply, I was filled with a strange feeling, Hope. I looked forward to tomorrow. To next week. To next month. To next summer. The daily anxiety surrounding 'What will I do when my supply runs out' was just immediately plucked from my life. In the matter of one week, this hopeless situation I was in was instantly relieved. In one week I was given my life back.
I have to travel 600 miles round trip once a month for my prescription, and I see that as giving up one day a month in exchange for the other 29. It's difficult to express, but as an addict I felt consigned to the life I was leading. It was my reality and as much as I wanted to, I just can't break from it. I tried three times to quit opiates on my own without success. Each time I was overcome by the acute withdrawl or the depression that followed it. I had to spend hours every day scoring my drugs and that was just how it was. I had to feel the deep anxiety of a dwindling drug-supply and even worse anxiety if I was running out of drugs with no cash for more. I would steal from the office petty cash. I would steal from anything I could. My life was hardly worth living. I felt dead inside.
And this drug just lifted all of that. In a single day I went from an addict to a recovering addict. In a single day I was given back the promise of hundreds of hours and thousands of dollars that would once be spent acquiring drugs. This is the most remarkable drug that exists today. At first I was worried about fixing a pill-addiction by taking more pills. But now it's routine. Take them when I wake up, and when I go to bed. And when I started I was taking 5 pills twice a day. Now, 9 months later, I take 1/2 pill twice a day.
I'm blessed with an outstanding doctor and I'm sure there are hundreds out there just like him. Since doctors have to take special training in order to prescribe this drug, the ones that do have an understanding and empathy for the disease of addiction. Months ago when I was able to describe to my doctor the wonderful gift he's given me we both were reduced to tears. Suboxone is not right for some addicts, but there are millions of us in America and most of them have no options available to them.
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.


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object --+ | AbstractListener.AbstractListener --+ | | | AbstractModel.ModelListener --+ | Node
The base class for rendering items to the screen.
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visible Whether or not this node and its children are visible. |
|||
|
backgroundColor Background color for the Node. |
|||
|
rotation The rotation angle of the Node in radians. |
|||
|
scaleX Scale factor for the y-axis. |
|||
|
scaleY Scale factor for the y-axis. |
|||
|
color Foreground color for Node subclasses that use it. |
|||
|
colors Foreground color for Node subclasses that use it. |
|||
|
scale The scale amount for both the x-axis and y-axis. |
|||
| Information methods. | |||
|
userData Peripheral data which the developer wishes to attach. |
|||
|
tag A convenience string with which to identify this Node. |
|||
| Director methods. | |||
|
director Read-only access to the Director. |
|||
| Geometry methods. | |||
|
position The current position of the Node relative to its parent. |
|||
|
absolutePosition Read-only access to the Node's absolute position. |
|||
|
size The size of the Node. |
|||
|
rect The bounding box of the Node. |
|||
|
anchorPoint How the Node is displayed relative to its children. |
|||
|
transformAnchorPoint How the Node is transformed relative to its position. |
|||
| Parenting methods. | |||
|
parent Read-only access to the parent Node. |
|||
|
children Read-only access to the list of all children. |
|||
| Controller methods. | |||
|
controller Read-only access to the Node's current controller. |
|
Initialization method. |
Returns the opacity for Node subclasses that use it. Default is
|
Sets the opacity for Node subclasses that use it. This should be set
between
|
The z-order of this current Node in relation to other Nodes.
|
Sets the z-order of this current Node in relation to other Nodes.
Children are drawn in order relative to this z-order. Default is
|
Whether or not this Node and its children are visible. Default is
|
Whether or not this node and its children are visible. Default is
|
The background color of this Node. Default is ClearColor.
|
Background color for the Node. Default is
|
The current angle at which this Node is rotated. Default is
|
The rotation angle in radians. Default is
|
The scale factor for the x-axis. Default is
|
Scale factor for the x-axis. Default is
|
The scale factor for the y-axis. Default is
|
Scale factor for the y-axis. Default is
|
Returns the foreground color for Node subclasses that use it. Default is ClearColor.
|
Method for children who have special color values like, for example, tinting (see Sprite and TintTo).
|
Method for children who have special color values like, for example, tinting (see Sprite and TintTo).
|
Returns the scale amount if both scaleX and scaleY are equal. If they are not equal, it will raise a warning and only return scaleX.
|
Set the scale amount for both the x-axis and y-axis.
|
Any peripheral data the user wishes to attach. Default is
|
Any peripheral data the user wishes to attach. Default is
|
A convenience string with which to identify this Node. Default is the empty string.
|
A convenience string with which to identify this Node.
|
A convenience method to get the Director of the
application. If this Node has not yet been parented to a running Scene, this will
return
|
Sets the Director of the application. This method is used automatically and should not normally be called manually.
|
Get the current position of the Node relative to its parent.
|
Sets the current position of the Node relative to its parent.
|
Returns the absolute position of this Node.
|
Returns the size of this Node.
|
Sets the size of the Node.
|
Returns the bounding box for the Node.
|
Sets the rectangle for the Node. Note that the node or its children may be drawn outside this rectangle (i.e. they will not be clipped).
|
How the Node is displayed relative to its position. See setAnchorPoint for a description.
|
Sets how the Node is displayed on the screen relative to its position.
E.g.
|
Returns how the Node is transformed relative to its position.
|
Sets how the Node is transformed relative to its position.
|
Returns the parent Node of this Node.
|
Returns a list of children.
|
Returns a child
|
Adds a child
|
Changes the zOrder of a child of this node.
|
Private method. Inserts a child into the Node's child list, which is sorted by the children's zOrders.
|
Removes a child
|
Removes a child
|
Removes all children from this node.
|
Returns the controller of this Node. Default is
|
Adds an AbstractController to the Node. This method will parent the controller's Node to this Node as well as automatically register it as a listener.
|
Removes a Controller from the Node. This method will deparent the controller's Node from this Node as well as automatically unregister it as a listener.
|
Adds a GestureListener to the Scene, which will be registered to the GestureDispatch when the Scene is entered.
|
Removes a GestureListener to the Scene, which will be unregistered from the GestureDispatch when the Scene is exited.
|
Draws the Node's contents to be displayed on the screen. Subclass and
do your drawing in here. The context will already be translated to the
node's current position, so drawing to
|
Private method that is called by its parent whenever the node (and its children) need to be redrawn. Do not call this method directly as the Director and GTKInterface handle the redrawing.
|
Private method that is called by
|
Called when this node will first be displayed. Override to have custom behaviors. |
Called if there was a Transition. Override to have custom behaviors. |
Called when this node will no longer be displayed. Override to have custom behaviors. |
Registers a function to be called every
|
Removes a
|
Returns how often (in seconds) the callback will be called (or
|
Sets how often (in seconds) the callback will be called.
|
Stops a particular Action currently running on this Node.
|
Gets a particular Action currently running on this Node. If the Action
cannot be found, it will return
|
Returns the number of Action
|
Private method used by Node. Stops all actions for the Node, clears out any scheduled timers, and tells its children to do the same. |
|
opacityThe opacity for Node subclasses that use it.
|
zOrderThe z-order of this current Node in relation to other Nodes. |
visibleWhether or not this node and its children are visible.
|
backgroundColorBackground color for the Node.
|
rotationThe rotation angle of the Node in radians.
|
scaleXScale factor for the y-axis. |
scaleYScale factor for the y-axis. |
colorForeground color for Node subclasses that use it. |
colorsForeground color for Node subclasses that use it. |
scaleThe scale amount for both the x-axis and y-axis. |
userDataPeripheral data which the developer wishes to attach.
|
tagA convenience string with which to identify this Node. |
directorRead-only access to the Director.
|
positionThe current position of the Node relative to its parent.
|
absolutePositionRead-only access to the Node's absolute position.
|
sizeThe size of the Node. |
rectThe bounding box of the Node. |
anchorPointHow the Node is displayed relative to its children.
|
transformAnchorPointHow the Node is transformed relative to its position.
|
parentRead-only access to the parent Node.
|
childrenRead-only access to the list of all children.
|
controllerRead-only access to the Node's current controller.
|
| Home | Trees | Indices | Help |
|---|
| Generated by Epydoc 3.0.1 on Fri Apr 9 14:54:59 2010 | http://epydoc.sourceforge.net |


[This slide intended to avoid distracting us from actual content]
Metaprogramming is weird.
Metaprogramming is the writing of computer programs with the ability to treat programs as their data.
It means that a program could be designed to read, generate, analyse or transform other programs, and even modify itself while running.
My definition: Code that reads or writes code [1]
[1] or code-like things.
Why talk about this?
Mentally architect
-> Write source code (C#, VB, etc.)
-> Utilize the .NET SDK to turn our source code into IL (.dll, .exe)
-> Transform IL into machine code via the CLR using JIT compiler
-> Execute on client
Definition: Inspecting the metadata and compiled code inside of an assembly.
1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: |
|
Directives, Text Blocks, Control Logic
Mostly demos.


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{% extends "sentry/layout.html" %} {% load i18n %} {% block title %}{% trans "Page Not Found" %} | {{ block.super }}{% endblock %} {% block bodyclass %}{% endblock %} {% block page_header %}
{% trans "The page you are looking for was not found." %}
{% trans "Return to the dashboard" %}


Teaching trust finances ‘at significant risk’ from savings shortfall
by Nick Kituno- FT warns risk to control total delivery for 2019-20 is “now significant”
- Current projections say FT will fall £5.4m short of £16.2m target
A teaching trust has said there is “significant” risk it will miss its deficit control total for 2019-20, as it tries to plug a £5.4m savings gap.
Bradford Teaching Hospitals Foundation Trust gave the financial update in its latest board papers, as current projections suggest it may only deliver £10.8m of its £16.2m cost improvement programme target.
A new finance report stated that, although the CIP for the first six months has been achieved, the remaining savings gap “must be resolved” if the control total of a £12.5m deficit (before sustainability and recovery funding) is to be delivered.
The report said: “The weekly CIP meetings introduced by [chief operating officer Sandra Shannon and finance director Matthew Horner] have resulted in improved projections from the CBUs [clinical business units], however, the pace of progress remains inadequate to give assurance that the control total will be delivered.
“Equally, the required £3m system savings contribution from collaboration with local NHS partners has not yet been clearly identified.”
The report added: “The care groups have been tasked with developing detailed recovery plans for executive review and implementation in early November, however, the risk to control total delivery in 2019-20 is now significant.”
The FT’s worst-case scenario forecast for the end of the year has been adjusted to a £19.5m deficit — £7m off target — and, should BTHFT not meet control totals over the next two quarters, then it will miss out on £8.1m in provider sustainability funding cash.
A BTHFT spokeswoman told HSJ the trust’s financial plan was for a “challenging, yet plausible” efficiency target of £16.2m to meet its control total.
She added: “BTHFT has a strong track record of consistently delivering its financial targets for over a decade, and therefore accepted the control total challenge.
“The trust is making significant progress in identifying measures to improve on the forecast reported to [the] board in November, which reflects a challenging environment, and our formal forecast to the regulators remains full delivery of the £12.5m pre-provider sustainability funding/financial recovery funding deficit total.”
Although the trust still plans to meet the £12.5m target, the report said achieving this required a “step change” in delivering efficiencies, control of run rates and “wider engagement” across BTHFT in its efficiency programme.


index
module utilities.mallet
MalletClassifier
Interface module to Mallet.
Defines a couple of methods that create Mallet commands and a class that
provides an alternative interface.
cvs2vectors_command() creates a command that lets you take a file with lines
like below and create a binary vector file.
ABC19980108.1830.0711.tml-ei377-ei378 BEFORE e1-asp=NONE e1-cls=OCCURRENCE
e1-epos=None e1-mod=NONE e1-pol=POS e1-stem=None e1-str=assistance
e1-tag=EVENT e1-ten=NONE e2-asp=PROGRESSIVE e2-cls=OCCURRENCE e2-epos=None
e2-mod=NONE e2-pol=NEG e2-stem=None e2-str=helping e2-tag=EVENT
e2-ten=PRESENT shAsp=1 shTen=1
train_model_command() creates a command that lets you take the binary vector and
create a classifier model.
See the docstring at the bottom of this module for some bitchy notes on
classify_command().
class MalletClassifier
Inherits from: object
Currently we take the command and then run a simple os.system(). It
doesn't really matter for model building, but for classification we should
at some point use subprocess to do this so we can write to and read from an
open pipe. This class has the code to do that, but it is not used yet.
Public Functions
__init__(self, mallet, name='--name 1', data='--data 3', regexp="--line-regex \"^(\S*)[\s,]*(\S*)[\s]*(.*)$\"")
Initialize a classifier by setting its options. All options are
optional except for mallet which is the directory where Mallet lives.
__str__(self)
add_classifiers(self, *classifier_paths)
classify_file(self)
Classify a file and write results to a file. This assumes that input
vectors are given as a filename and that output goes to a file (that is,
both vectors and output are not None). This would run a command where
the command would be very similar to what classify_command() does.
classify_vectors(self, classifier, vector_list)
Given a list of vectors in string format, run them all through the
classifier and return the results.
pp(self)
Pretty priniter for the MalletClassifier.
Private Functions
_make_pipe(self, classifier)
Open a pipe into the classifier command.
_pipe_command(self, classifier)
Assemble the classifier command for use in a pipe.
_shell_command(self, classifier, vectors)
Assemble the classifier command for command line use with input and
output files.
module functions
classify_command(mallet, vectors, model)
The command for running the classifier over a vector file.
cvs2vectors_command(mallet, vectors, output=False)
The command for creating a binary vector file from a text vector
file. Each line in vectors looks like "ID LABEL FEAT1 FEAT2...".
parse_classifier_line(line)
Return a pair of the identifier (instance name in Mallet talk) and a
sorted list of labels and their scores in <score, label> format, with the
highest score first.
train_model_command(mallet, vectors, trainer='MaxEnt', cross_validation=False)
The command for creating a model from a binary vector. There is no cross
validation by default, use cross_validation=5 to turn it on using 5-fold
cross validation.


CIPHS can be purchase without needing any 3rd parties involvement using decentralize exchange that connects seller and buyer within their own will. Getting CIPHS on exchange are subject to market price by Ciphscoin's Users. Thanks to the premine, this opens up for quick liquidation. Try Adex & swap CIPHS anytime. Download Adex below.
Mining is the best way to obtain CIPHS, as mining will help to secure CPN in many way such as global distribution , double spending spam or inluding the famous 51% attack. The decentralization of CPN is all in the hand of CIPHS's User,
start mining to secured CPN economy to the max while Ciphscoin on the move. Don't let idle CPU waste energy. Become a Miner now!
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with CPN, banking are personal.
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---
layout: presentationA
title: Introduction
permalink: /01s-intro/
---
# Webtechnologien 2018
Sebastian Springer
---
# Are you in the right class?
## Plain and simple: This class is overbooked.
- Have you passed Programmieren 1 and 2?
(read: _"I know at least a little bit about programming._)
- Did you opt for the _software engineering_ focus
(read: _"I genuinely enjoy programming."_)
- Are you ok with English?
(read: _"I understand most of the web world is in English."_)
- Are you resourceful?
(read: _"I know how to work Google/SO/MDN to find an answer."_)
- Are you committed?
(read: _"I absolutely want to learn about this stuff"_)
---
# Introduction
- class: Wednesdays at 8a
- materials: https://hsro-inf-wt.github.io (English)
- tutorials:
- Thursdays at 9.45a/11.45a
- Tutor: Sebastian Springer
- communication: via [Mattermost](https://inf-mattermost.fh-rosenheim.de/wt-2017/channels/town-square) ([invite](https://inf-mattermost.fh-rosenheim.de/signup_user_complete/?id=cwd8jpz4ijfxdgg6i6q45d1asa)).
- important dates (read: _presence absolutely mandatory_)
+ Nov 7, team registration
+ Dec 5, written exam (60 Min.) *and* team presentations (kick-off)
+ Dec 19, team meetings with me (individually, ca. 10 min per team)
+ Jan 23, final presentation of projects
---
# Credits (Leistungsnachweis)
## 50%: written mid-term (Dec 5)
- 60 minutes written exam
- covers basics of HTML/CSS/JavaScript
---
# Credits (Leistungsnachweis) cont'd
## 50%: project (teams of 3)
- must have user stories and wireframes/sketches
- must use advanced toolkit (eg. angular, vue, react)
- must have frontend and backend
- must connect to database _or_ other form of permanent storage
- must have advanced authentication (eg. OAuth2)
- must pass W3 validators; should produce no warnings
- must be deployed via docker containers _or_ heroku _or_ as VM
- kudos: serves actual purpose, looks good, mobile-friendly
---
# Intermission
## _this is your chance to opt out_
---
# Before we get started
## Why do I **not** believe in PHP/ZEND?
> _Caution: This is my professional opinion, not necessarily facts._
- PHP is interpreted; if you put (non-cachable) PHP into your web sites, they need to be processed before serving.
- PHP is (sort of) hard to scale; static pages are trivial (CDN)
- load/scaling problems immediately result in rendering delays
- Bugtracking can be pretty hard/painful
- Automated testing requires to spin up a local php interpreter
---
# Recommended textbooks
## None, actually.
Web development happens on the internet, not your reading couch.
Problem at hand? Google it and you'll find a tutorial.
???
Google it and you'll find a post explaining it.
Learning by doing at its best.
---
# Basic Overview
## We will cover...
- HTML/5
- CSS/3
- JavaScript (ES6)
- Node.js for backend
- Vue.js for frontend
- some advanced topics:
+ scaffolding and static page generation
+ security and authorization
+ deployment with heroku
---
# Tooling
- git
- shell of your choice
- editor of your choice
- curl or similar (eg. Postman)
- developer tools of your browsers (note the **s**)
- https://jsfiddle.net
- Your trusted web sources: [Google](https://www.google.com) - [SO](https://www.stackoverflow.com) - [MDN](https://developer.mozilla.com)
---
# Example: https://kickassapp.com
Bookmarklet to inject everywhere.
*BE CAREFUL* this is just an example and might harm your system (injected remote code)


CSS sprites combine multiple images into one image, limiting the number of HTTP requests a browser has to make, thus improving load times. Even under the new HTTP/2 protocol, this remains true.
Under HTTP/1.1, at most one request is allowed per TCP connection. With HTTP/1.1, modern browsers open multiple parallel connections (between 2 to 8) but it is limited. With HTTP/2, all requests between the browser and the server are multiplexed on a single TCP connection. This means the cost of opening and closing multiple connections is mitigated, resulting in a better usage of the TCP connection and limits the impact of latency between the client and server. It could then become possible to load tens of images in parallel on the same TCP connection.
However, according to benchmark results, although HTTP/2 offers 50% improvement over HTTP/1.1, in most cases the sprite set is still faster to load than individual images.
To utilize a spritesheet in CSS, one would use certain properties, such as background-image
, background-position
and background-size
to ultimately alter the background
of an element.
background-image
, background-position
and background-size
can be used to utilize a spritesheet.


lifecycleOptionalBehaviors: any
Behaviors that do not require the composition lifecycle callbacks when replacing their binding context.
lifecycleOptionalBehaviors: any
Behaviors that do not require the composition lifecycle callbacks when replacing their binding context.


| Number of Classes | Line Coverage | Mutation Coverage |
|---|---|---|
| 9 | 67% | 46% |
| Name | Line Coverage | Mutation Coverage |
|---|---|---|
| BitParser.java | 73% |
29% |
| GammaCorrection.java | 100% |
20% |
| PngCrc.java | 95% |
16% |
| PngImageInfo.java | 100% |
100% |
| PngImageParser.java | 67% |
46% |
| PngWriter.java | 61% |
52% |
| ScanExpediter.java | 90% |
83% |
| ScanExpediterInterlaced.java | 0% |
0% |
| ScanExpediterSimple.java | 100% |
100% |


Buy and sell goods and services in support of any social cause and become part of a charitable community with Bakesale, the purpose-driven marketplace.
Buy and sell goods and services in support of any social cause and become part of a charitable community with Bakesale, the purpose-driven marketplace.


M E T E
SEARCH
CLEAR SEARCHES
Current Weather
City
Month Day, Year
Current Temperature
High / Low
FORECAST


This page has been created for an honour project by a fourth year student in Robert Gordon University.
Internet security is a vital aspect of the internet experience.
It ensures that people are not victims to potentially dangerous attacks.
The fast growth of the technology and the broadness of the web means that students could be exposed
to vector attacks that they might not be aware that exist. This webpage aim is to help students be aware
of the risks on the internet and learn how they can minimalise the risks of those threats.


Responsify.js
A jquery plugin that makes images truly responsive, without sacrificing anyone's face :D
When images are used in a responsive container on web design, because of the container can change to any width:height ratio, a group shot could end up being cut off on people's faces, a nice photograph following "rule of third" could end up with no object in view. Responsive images face the challenge of how to keep the focused objects/area in view, this jquery plugin is here to solve the problem.
Download
Demo
http://responsifyjs.space/#demo
App
Use this interactive web app to generate the focus area data
What it does
Responsify.js does the following:
- It allows you define a focus area on an image using
data-focus-xxx
tag - It takes in the focus area data from the image, calcuate the image's container's size, resize and position the image accordingly, make sure the focus area is always in view and in the best position possible.
Responsive image with responsify.js
Responsive image without responsify.js
How to use
Use this interactive web app to generate the focus area data http://responsifyjs.space/app/
<img src="image.png" alt="" data-focus-left=".30" data-focus-top=".12" data-focus-right=".79" data-focus-bottom=".66" />
data-focus-left
is the focus area's left position comparing to the image's full width, in decimal. For example, if the full width is 300px, the focus area's left is 90, then thedata-focus-left
should be 90/300 =0.3
. Same logic applies to other three data attributes.Embed the responsify.js in the html
<script src="responsify.js"></script>
Call responsify function when window object is loaded
$(window).load(function() { $('img').responsify(); });
Call responsify function again when the window is being resized (optional)
$(window).resize(function(){ $('img').responsify(); })
Contact Me
- Follow @DesignJokes on Twitter
- Email zhangwenting111@gmail.com


The following enhancements are introduced:
Area: Tools
Standard/Platform: JDK 7
Synopsis: A succinct and concise error message is printed,
as appropriate, when an error occurs during the Java launcher
initialization. The full stack trace will be printed when
applicable, or when the error has trickled up from the ClassLoader
or Reflection APIs.
RFE: 6968053
Area: Tools
Standard/Platform: JDK 7
Synopsis: Previously, the pack200 tool defaulted to using
java6 packfiles in the absence of any java6 (or newer) classfiles
in a segment. Starting with JDK 7, the pack200 tool defaults to
using java5 packfiles for maximum compatibility.
RFE: 6712743
Area: Tools
Standard/Platform: JDK 7
Synopsis: On Solaris only, the JRE and JDK distributions had
the following symbolic link (symlink):
jre/lib/libjvm.so->client/libjvm.so. This was provided
as a transition aid from Solaris Production JRE to the Java
Reference version (more precisely ExactVM to HotSpot). This symlink
will cease to exist and is no longer supported.
Applications (usually legacy Solaris applications with a custom
launcher) that have assumed the existence of this symlink, must
relink with the desired library (implementing server or client), or
must dynamically link with the desired VM. They can also create
that symlink manually or copy the desired library implementing the
VM, though this is not a recommended practice and may cause
undesired side effects.
RFE: 6899834
Area: Tools
Standard/Platform: JDK 7
Synopsis: The HtmlConverter tool is no longer part of the
JDK 7 distribution (starting with b128).
RFE: 4523289
Area: Tools
Standard/Platform: JDK 7
Synopsis: The default values for the cryptographic
algorithms used by the keytool and jarsigner
utilities have been updated to be stronger. See the
keytool and jarsigner tool docs for more
information.
RFE: 6561126
Area: Tools
Standard/Platform: JDK 7
Synopsis: The keytool and jarsigner tools
now support the ECC algorithm in keypair generation and jar
signing.
RFE: 6870812
Area: Tools
Standard/Platform: JDK 7
Synopsis: A new keytool command (-gencert)
is provided to generate a non self-signed certificate. A new option
(-ext) is provided to generate several X.509 v3 extensions
for the -gencert, -genkeypair, and
-certreq commands. There are also other new commands and
options for the keytool and jarsigner tools. See
the keytool and
jarsigner tool docs
for more information.
RFE: 6780416,
6802846,
6324292,
6890872
Area: Tools
Standard/Platform: JDK 7
Synopsis: In JDK 7, the javadoc tool has been
updated to use style markup classes that can control the styles of
the generated pages. With the -stylesheetfile option, you can
provide an alternate stylesheet file to be used. Without this
option, the javadoc tool automatically creates a
stylesheet file called "stylesheet.css". You can override this
default with another file name, for example:
C:> javadoc -stylesheetfile C:\user\exampleStylesheet.css com.examplePackageThe generated pages have style markups for various sections. Through the stylesheet file you can define styles for these sections. The default stylesheet file is sorted according to each style in that section. You can customize the styles for:


# The MIT License (MIT)
# Copyright (c) 2016 Vladimir Ignatev
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the Software
# is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
# INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
# PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE
# FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT
# OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE
# OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import sys
[docs]def progress(count, total, status=''):
sys.stdout.flush() #
bar_len = 60
filled_len = int(round(bar_len * count / float(total)))
percents = round(100.0 * count / float(total), 1)
bar = '=' * filled_len + '-' * (bar_len - filled_len)
sys.stdout.write('[%s] %s%s ...%s\r' % (bar, percents, '%', status))
sys.stdout.flush() #


SMD¶
This page gives the details about the code in biasd.io.
The Single-Molecule Dataset (SMD) format is a standardized data format for use in time-resolved, single-molecule experiments (e.g, smFRET, force spectroscopy, etc.). It was published in collaboration between the Gonzalez and Herschlag labs (Greenfield, M et al. BMC Bioinformatics 2015, 16, 3. DOI: 10.1186/s12859-014-0429-4). Here we have adapted the SMD data format for use with the HDF5 data format, which we access with the python library h5py.
Work with SMD data¶
This module allows you to use the single-molecule dataset (SMD) format, and integrate BIASD results into them. The data is stored in as HDF5, and as such can be arbitrarily changed to fit your needs. Generally speaking, the structure is
- SMD File
(HDF5 File)
:
- attrs
(HDF5 Attributes)
- time created
(Str)
- SMD hash ID
(Str)
- number of trajectories
(Int)
- attribute 1 (denotes generic attribute)
(Anything)
- attribute 2 (denotes generic attribute)
(Anything)
- ...
- trajectory 0
(HDF5 Group)
- attrs
(HDF5 Attributes)
- time created
- SMD hash ID
- attribute 1
- attribute 2
- ...
- data
(HDF5 Group)
- time
(HDF5 Dataset)
- value
(numpy ndarray of values)
- signal 1
(HDF5 Dataset)
- value
(numpy ndarray of values)
...
- BIASD analysis 1
(HDF5 Group), eg ensemble MCMC results
- attrs
(HDF5 Attributes)
- time created
- SMD hash ID
- attribute 1
- attribute 2
- ...
- analysis dataset 1
(HDF5 Dataset), eg MCMC samples
- ...
- trajectory 1
(HDF5 Dataset)
- ...
-
smd.
new
(filename, force=False)¶ Create and close a new HDF5 file. Input:
- filename is the output filename to save.
- force is a boolean whether to overwrite if the file already exists.
- Returns:
- f is the output h5py File.
-
smd.
load
(filename)¶ Open an HDF5 file in R/W mode with h5py Input:
- filename is the input filename to open
- Returns:
- an h5py file
-
smd.
loadtxt
(filename)¶ Safely load binary (.npy), tab, or comma delimited arrays Input:
- filename is the file to open
- Returns:
- a numpy ndarray
Add BIASD results to an SMD object¶
Add a BIASD result to an HDF5 SMD file. This includes functions for prior collections, posterior collections, Laplace posteriors, baseline corrections, and MCMC results.
- Input:
- parent is group of the HDF5 object where the analysis data will be added as a new group
- the next argument is the data object that will be added
- label is a string that the new group will be called. Defaults to descriptive label.
-
smd.add.
baseline
(parent, params, label='result')¶ Add a _params result from biasd.utils.baseline to HDF5 group
-
smd.add.
kmeans
(parent, kmeans_result, label='result')¶ Add a _results_kmeans from biasd.distributions to a HDF5 Group
-
smd.add.
laplace_posterior
(parent, laplace_posterior, label='result')¶ Add a _laplace_posterior from biasd.laplace to HDF5 group
-
smd.add.
mcmc
(parent, mcmc_result, label='result')¶ Add a mcmc_result from biasd.mcmc to a HDF5 group
-
smd.add.
parameter_collection
(parent, collection, label='BIASD parameter collection')¶ Add a parameter_collection from biasd.distributions to HDF5 group
-
smd.add.
trajectories
(f, x, y, x_label='Time', y_label='Signal')¶ Simple add for homogeneous-length signal versus time trajectories to an HDF5 file for use in BIASD. Input:
- f is for an already open h5py File – create one with smd.new(filename), and open it with smd.open(filename)
- x is a (T) numpy ndarray
- y is a (N,T) numpy ndarray
where N is the number of molecules, and T is the number of datapoints
Trajectories are added as groups called `trajectory i`, where i is an integer. Also, adds the number of trajectories in the file as an attribute to the File. This can be accessed as f.attrs[‘number of trajectories]. Also, adds the number of datapoints in these trajectories as f.attrs[‘number of datapoints].
Read BIASD results from an SMD object into a useful format¶
Reads a BIASD result from an HDF5 SMD file. This includes functions for parameter collections, Laplace posteriors, baseline corrections, and MCMC results.
- Input:
- group is the input HDF5 group from where the data will be read
- Returns:
- The data formatted as an object
Examples¶
Create, add, and save example
import biasd as b
import numpy as np
# Load the data
cy3 = b.smd.loadtxt('my_cy3_data.dat')
cy5 = b.smd.loadtxt('my_cy5_data.dat')
fret = d1/(d1+d2)
# Create the time axis, assuming data is in (N,T) array
tau = 0.1
t = np.arange(fret.shape[1])*tau
# Make a new HDF5 SMD file
filename = '20161230_fret_experiment_1.hdf5'
f = b.smd.new(filename)
# Add the FRET trajectories
b.smd.add.trajectories(f, t, fret, x_label='Time (s)', y_label='E_{FRET}')
nmolecules = f.attrs['number of trajectories']
# Save and close the output file
b.smd.save(f)
# Setup the priors
e1 = b.distributions.beta(1.,9.)
e2 = b.distributions.beta(9.,1.)
sigma = b.distributions.gamma(2.,2./.05)
k1 = b.distributions.gamma(20.,20./3.)
k2 = b.distributions.gamma(20.,20./8.)
priors = b.distributions.parameter_collection(e1,e2,sigma,k1,k2)
# Open the output file
f = b.smd.open(filename)
# Loop over all the molecules
for i in range(nmolecules):
# Open the file again, because saving closes it
f = b.smd.load(filename)
# Get the ith trajectory reference
trajectory = f['trajectory %d'%(i)]
# Get the entire (i.e. [:] at the end) E_{FRET} data vector
data = trajectory['data/E_{FRET}'][:]
# Or equivalently...
data = trajectory['data/E_{FRET}'].value
# Create a new group for this particular analysis
group = trajectory.create_group("20161231 Laplace Analysis")
# Add the value of tau to the file for reference
group.attrs['tau'] = tau
# Add the priors used to the file for reference
b.smd.add.parameter_collection(group,priors,label="Priors")
# Do some calculation on data... for instance,
laplace_result = b.laplace.laplace_approximation(data,priors,tau)
# Add the results to the file
b.smd.add.laplace_posterior(group,laplace_result)
# Save the results as we go in case of a crash
b.smd.save(f)
Load, and read from example above
import biasd as b
# Load the SMD
filename ='20161230_fret_experiment_1.hdf5'
f = b.smd.load(filename)
# Read the priors for the first molecule (0)
analysis = f['trajectory 0/20161231 Laplace Analysis']
priors = b.smd.read.parameter_collection(analysis['Priors'])
# Read the Laplace posterior object for the first molecule (0)
lp = b.smd.read.laplace_posterior(analysis['result'])
# Or if there are also MCMC results called 'result' in a group called '20170101 MCMC Analysis' in trajectory 1...
analysis = f['trajectory 1/20170101 MCMC Analysis']
mcmc_results = b.smd.read.mcmc(analysis['result'])


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