State of the art attention models in PyText - Part 1
The code used for this blog-post is here.
Watch on Vimeo - Braneshop - Attention in PyText - Part 1
Attention being computed across a custom-dataset and being dsiplayed in TensorBoard!
I wanted to take some time to discuss a library that seems to have flown under the radar a little bit. It’s called PyText, and we’re going to explore how you can use it to run state of the art attention models!
Here’s our plan:
- Set a dataset,
- See how we prepare the data for training in PyText,
- Get PyText,
- Train it,
- Visualise it,
- Consider extensions,
Finally, we’ll jump in to a fork of PyText where I’ve added a few features that help out during training.
If you want to follow along, all the code for this post is available here.
The Dataset
I’m going to play around with my favourite dataset; my “scites” on SciRate — i.e. those research papers that I’m interested in.
We’re going to frame this data as a recommendation problem:
Given some new research paper, will I be interested in it? And if so, why?
This will be labelled data. Specifically, we will need two fields: title_and_abstract
(a blob of text which is the title of the paper and the abstract concatenated together) and scited
(a number, 1
if I “scited” it, 0
if I didn’t).
Here’s an example, in Python:
title_and_abstract = """Generalized criteria of symmetry breaking. A strategy
for quantum time crystals. The aim of this paper is to propose a criterion
of spontaneous symmetry breaking that makes reference to the properties of
pure phases defined by a translationally invariant state. By avoiding
any reference to the ground state, at the basis of the standard
approach, this criterion applies to a wider class of models. An
interesting application is the breaking of time translations. Indeed, we
discuss explicit theoretical models which exhibit the prototypical
features of quantum time crystals, without the need of a time-dependent
Hamiltonian."""
scited = 0
arxiv_id = "1906.12293"
(Note: For reference, we’ll also keep the arXiv id around, so we can cross-check more information, as we need it, by visiting the link)
The Dataset - Building it
Now, given that I manage the SciRate website, I have direct access to the database. Here’s the kind of dataset I’d like to build:
- 12,000 datapoints of papers that I’ve “scited”,
- 12,000 datapoints of papers that I’ve opted not to scite,
Then, from that set, I’m going to set aside 1.5k for “validation”, and a further 500 that, I promise you now, I will only use at the end of this article, for the purposes of estimating how well the model is doing. In pictures:
Okay, so let’s now make three csv’s, train.csv
, validation.csv
and test.csv
. For right now we’ll not look into how PyText wants the data formatted; let’s just assume that if we have these CSVs we can munge it into the right format later.
Here’s what I did:
conda create -n pytext-scirate-recommendation python=3 source activate pytext-scirate-recommendation pip install jupyter psycopg2
Then, in the Jupyter notebook:
import psycopg2
my_user_id = 857
max_items = 12_000
scited_query = f"""
select
abstract,
title,
uid,
1 as scited
from
papers
inner join
scites on
scites.paper_uid = papers.uid
and scites.user_id = {my_user_id}
where
papers.submit_date > '01-Jan-2016'
order
by random()
limit
{max_items}
"""
not_scited_query = f"""
select
abstract,
title,
uid,
0 as scited
from
papers
left outer join
scites on
scites.paper_uid = papers.uid
and scites.user_id = {my_user_id}
where
scites.id is null
and
papers.submit_date > '01-Jan-2016'
order
by random()
limit
{max_items}
"""
with psycopg2.connect("dbname=scirate") as connection:
cursor = connection.cursor()
cursor.execute(scited_query)
scited = cursor.fetchall()
cursor.execute(not_scited_query)
not_scited = cursor.fetchall()
assert len(scited) == len(not_scited) == max_items
train = scited[:10_000] + not_scited[:10_000]
val = scited[10_000:11_500] + not_scited[10_000:11_500]
test = scited[11_500:] + not_scited[11_500:]
assert len(train) == 20_000
assert len(val) == 3_000
assert len(test) == 1_000
import pandas as pd
def write_csv (rows, name):
df = pd.DataFrame(rows, columns=["abstract", "title", "arxiv_id", "scited"])
df["abstract_and_title"] = (df["title"] + " " + df["abstract"])\
.replace("\t", " ")\
.replace("\r", " ")\
.replace("\n", " ")
df = df.drop(columns=["abstract", "title"])
df.to_csv(name + ".csv", index=False, header=False, sep="\t")
write_csv(train, "../data/train")
write_csv(val, "../data/val")
write_csv(test, "../data/test")
This is just a little hacked-together bit of code that grabs out papers that I’ve definitely scited, and those for which I haven’t scited. Note that it limits it to those papers from the last 5 years, and also randomly orders them. If we wanted to be a bit more precise, we could do the random ordering according to a seed, but we’re just in a blog post here, so we can be a bit relaxed :)
Note that this code requires the SciRate database, so you can’t run it, but here’s the output: noons scites - download if you want to follow along with this exact dataset.
Great! Now I have my data in the data
folder:
04:41 PM noon ∈ pytext-scirate-recommendation ls -alh data total 26M drwxrwxr-x 4 noon noon 4.0K Jul 3 17:09 . drwxrwxr-x 7 noon noon 4.0K Jul 2 08:26 .. -rw-rw-r-- 1 noon noon 1.1M Jul 3 14:47 test.csv -rw-rw-r-- 1 noon noon 22M Jul 3 14:47 train.csv -rw-rw-r-- 1 noon noon 3.2M Jul 3 14:47 val.csv
The sizes look good (i.e. val is smaller than train, and test is smaller still, etc, so my script works!) Let’s continue on.
Preparing the data for PyText
Okay, now that we have some data, let’s see what format PyText wants. Let’s head over to the PyText Documentation.
… turns out we have to first pick a model
Glancing at the Train your first model we can see that we need to build some kind of configuration object; and that in particular we need to decide on a “task” and a “model”. Specifically, we need to build a JSON file like so:
{
"version": 8,
"task": {
"DocumentClassificationTask": {
"data": {
"source": {
"TSVDataSource": {
"field_names": ["label", "slots", "text"],
"train_filename": "pytext/tests/data/train_data_tiny.tsv",
"test_filename": "pytext/tests/data/test_data_tiny.tsv",
"eval_filename": "pytext/tests/data/test_data_tiny.tsv"
}
}
},
"model": {
"DocModel": {
"representation": {
"DocNNRepresentation": {}
}
}
}
}
}
}
So, let’s think about our problem here as a “classification” problem. We have two independent classes, “scited” and “not scited”.
Now, glancing at the PyText classifiers that they have set up by default, the one I want to use is this one: Lin et al. (2017): A Structured Self-attentive Sentence Embedding. I’m picking this one because, firstly, it’s got this notion of attention. Scrolling through the paper, this is the kind of output we can expect to get from this paper:
Looks cool! It’s certainly the idea we’re going for — a kind of “explanation” — the relevant words are highlighted (with a strength!) indicating why the decision (here, a 1-star review) was made.
Now, glancing at the documentation for the config file, our "model"
section will need to be like this:
Going back to the above config, we note that we don’t have a “TSV” (Tab-seperated values) we have a CSV, so we might need something like this:
{
"DocumentClassificationTask": {
"data": {
"source": {
"TSVDataSource": {
"field_names": ["arxiv_id", "label", "text"],
"train_filename": "./data/train.csv",
"test_filename": "./data/test.csv",
"eval_filename": "./data/val.csv"
}
}
}
}
}
(Note: the field_names
needs to match the order in the CSV, and furthermore, the fields “label” and “text” are used because they correspond to the names in pytext code, not because they are the names of the columns in our document. Further note: there’s a bug where the TCV-parser doesn’t respect quoted strings with the seperator in them.)
Okay. Ambitiously, let’s just try putting everything together, and running it! I’m going to call it 02-Jul-2019-Run-1.json
and it will have:
{
"version": 8,
"task": {
"DocumentClassificationTask": {
"data": {
"source": {
"TSVDataSource": {
"field_names": ["arxiv_id", "label", "text"],
"train_filename": "./data/train.csv",
"test_filename": "./data/test.csv",
"eval_filename": "./data/val.csv"
}
}
},
"model": {
"DocModel": {
"representation": {
"BiLSTMDocAttention": {}
}
}
}
}
}
}
(Note: It took me a few goes to get this config right; in the first instance I even forgot to include the labels (“0” or “1”) in the original CSV data! But through the magic of blogging, it looks like I got it right the first time!)
Firstly, I’ll just install pytext
!
pip install pytext-nlp
Then, I’ll just run it according to the docs!
pytext train < config/02-Jul-2019-Run-1.json
Now, I’m only running this on my laptop; no GPU, and after 3 epochs (~20 minutes) this is what pops out of the terminal:
Stage.EVAL loss: 0.443127 Accuracy: 81.00 Macro P/R/F1 Scores: +----------------------+-----------+--------+------+---------+ | Label | Precision | Recall | F1 | Support | +----------------------+-----------+--------+------+---------+ | 0 | 0.77 | 0.87 | 0.82 | 1500 | | 1 | 0.86 | 0.75 | 0.80 | 1500 | +----------------------+-----------+--------+------+---------+ | Overall macro scores | 0.82 | 0.81 | 0.81 | | +----------------------+-----------+--------+------+---------+ Soft Metrics: +-------+-------------------+---------+ | Label | Average precision | ROC AUC | +-------+-------------------+---------+ | 0 | 0.884 | 0.893 | | 1 | 0.894 | 0.893 | +-------+-------------------+---------+ Recall at Precision +-------+---------+---------+---------+---------+---------+ | Label | R@P 0.2 | R@P 0.4 | R@P 0.6 | R@P 0.8 | R@P 0.9 | +-------+---------+---------+---------+---------+---------+ | 0 | 1.000 | 1.000 | 0.987 | 0.843 | 0.551 | | 1 | 1.000 | 1.000 | 0.978 | 0.833 | 0.624 | +-------+---------+---------+---------+---------+---------+ Matthews correlation coefficient: 0.625 ROC AUC: 0.893
This says that this model got ~80% of the classifications right, and then has a few more details. In any case, this is pretty great!
So, there’s a few directions we can head in, now. Certainly it would be useful to see the training runs in TensorBoard. It would also be great to be able to run inference on a single title and abstract. We could also go into the weeds and try and tweak the model, run it on a GPU, and other such things, to see how far we can push the accuracy up.
Let’s go for the TensorBoard/visualisation option, as it’ll be a useful thing to have, no matter which further steps we want to take.
Visualising the training
It’s no coincidence that I’m choosing TensorBoard here, as this is something that PyText supports out of the box. So let’s follow along. First, we install it:
pip install tensorboard
Observe that there is a runs
folder with some data in it:
(pytext-scirate-recommendation) 11:04 AM noon ∈ pytext-scirate-recommendation ls runs Jul02_08-26-12_gpac Jul02_08-31-57_gpac Jul02_10-18-55_gpac Jul02_10-33-37_gpac
Then, we just run TensorBoard!
tensorboard --logdir runs
(Note: I got a warning that I hadn’t installed tensorflow
, but it didn’t cause me any problems.)
Here’s what I see:
Of course, we didn’t run for many epochs, so we don’t see much improvement. (Perhaps it’s also worth noting that after just 1 epoch we were already at 70% accuracy).
Now, this is all well-and-good, but we want something a bit more interesting. At the top of this article, we were promised attention; i.e. that we could see what words were contributing to the predictions. Wouldn’t it be cool if we could see this in TensorBoard?! Yes, is the answer!
Building attention visualisation into TensorBoard
In order to do this, we’re going to have to get funky with the pytext source code (unfortunately, this isn’t a feature that’s supported out-of-the-box.)
This is our process:
- Work out how to get attention out of the model,
- Pick a few fixed samples that we run through the network during evaluation,
- Somehow coax TensorBoard to display those samples with attention.
So, if you’re happy to follow along, first, get yourself a copy of the pytext codebase:
git clone https://github.com/facebookresearch/pytext.git
Now, because we’re going to hack on this local version, instead of the version we’ve installed, you’ll want to uninstall the pytext we installed before, (from within your conda environment), and then jump into your copy of the pytext repo, and install that in “develop” mode, so we can make code changes and have them reflected:
pip uninstall pytext-nlp # Jump to the folder where you cloned pytext python setup.py develop
Then, let’s dive in.
1. Getting attention out of the model
We recall we’re using the BiLSTMDocAttention
“representation” (remember, this is what we specified in our JSON configuration file). Here, “representation” is the same as an “embedding”, namely, a way of encoding a document as a vector. So, we know that the code related to this thing, should match the description of the model in the paper. This will help us working out which tensor is the attention, in the code.
Now, please note — I’ve looked into this before, way back when I was playing with this repo around 8 months ago (in a previous job); I opened an issue at the time, and it’s still open. So, we’ll attempt to use this blog post as an opportunity to try and make a PR that fixes this problem.
As a result, I know that the first thing to look for is if the relevant parts of the code do two things: 1) expose the appropriate attention tensor, so that it can be used by us to evaluate the attention across the input and 2) correctly implement the “hops” functionality from the paper, so that we get the full power of the attention that the paper (supposedly!) provides.
We’ll address the first item first, as it should be independent of the second. We’ll leave the second item for another day.
So, how do we get the attention out, and display it?
Unfortunately, it turned out to be an involved process. I ended up spending the better part of a day hacking around to make this work. It’s all captured in a branch which you can view here: attention-hacking branch. It’s not super elegant, but it’s enough to keep us going.
Here’s the final config file I ended up using:
{
"version": 8,
"task": {
"DocumentClassificationTask": {
"trainer": { "epochs": 20 },
"data": {
"source": {
"TSVDataSource": {
"field_names": ["arxiv_id", "label", "text"],
"train_filename": "./data/train.csv",
"test_filename": "./data/test.csv",
"eval_filename": "./data/val.csv"
}
}
},
"model": {
"DocModel": {
"decoder": { "has_attention": true },
"representation": {
"BiLSTMDocAttention": {}
}
}
}
}
}
}
(The main thing is that I added a new config option, has_attention
, that lets me introduce this extra functionality without (hopefully!) breaking anything.)
I won’t bore you with all the details (you can glance at the diff above to see what I actually changed; it’s not a lot), but the main highlights were:
- Try not to break everything,
- Pass the attention around so that it can be logged to TensorBoard,
- Hack TensorBoard a bit and log an image instead of text, so that highlighting can be displayed (See this issue for why I had to do this.)
The final thing looks like so, in TensorBoard:
This has the important idea. Namely, the “important” words coloured in. There’s also the tokens (__UNKNOWN__
and __PAD__
) that PyText adds, automatically, to deal with low-frequency words and the fact that we need to feed in fixed-length sequences to get the benefits of fast computation on the GPU.
In the next post (this took me so long I had to make it two parts!) we’ll look at the remaining items: Fixing the implementation to match the paper; working out if the attention information it’s providing is even sensible, consider some extensions, and building a little “production-ready” interface!
As always, if you have any feedback/corrections/comments then get in touch!


nics(1) Qualcomm Atheros Open Powerline Toolkit nics(1) NAME nics - Host Network Interface Enumerator SYNOPSIS nics DESCRIPTION Search host for Ethernet interfaces and display the interface index, hardware address, IP address, interface name and interface description on stdout. This provides a simple, consistent, cross-platform format for presenting interface information to scripts and user applications. COMMENTS This program illustrates use of basic Atheros Ethernet interface C functions. See program ifs for an alternative C++ implementation. OPTIONS -?,--help Print program help summary on stdout. This option takes precedence over other options on the command line. -!,--version Print program version information on stdout. This option takes precedence over other options on the command line. Use this option when sending screen dumps to Intellon Technical Support so that they know exactly which version of the Linux Toolkit you are using. ARGUMENTS None. EXAMPLES The following example searches a Linux host and displays information about available interfaces. # nics 2 00:50:04:A5:D8:98 <IP_ADDRESS> eth4 eth4 3 00:0F:EA:4B:98:CB <IP_ADDRESS> eth3 eth3 The following example searches a MacOSX host and displays information about available interfaces. Observe that interface names are varied. # nics 4 00:26:BB:52:DD:A8 <IP_ADDRESS> en0 en0 6 04:1E:64:F0:FB:EC <IP_ADDRESS> en1 en1 SEE ALSO amp(1), ifs(1), nics(1), pcapdevs(1), plcnets(1) CREDITS Charles Maier<EMAIL_ADDRESS>open-plc-utils-0.0.3 November 2013 nics(1)


NEWS RECOMMENDATION SYSTEM
Instructions
About
Project
Logout
WELCOME
USER ID
USER ID
About Us
NEWS RECOMMENDATION SYSTEM
FOR
NEWS APP
This project is about the Recommendation of news to the users of the
DON
app.
With the help of the Google Analytics and app database, we found a pattern about the user-news interaction
and using that we got user's temporary and permanent interests.Thus,by using these interests, we recommend news to the users. We have also used NLP to recommend news articles
Project
NEWS RECOMMENDATION SYSTEM
This PROJECT includes 6 stages:-
Data gathering and Mining
Data Preprocessing
Implementation of various Python libararies like pandas,graphlab,numpy and flask.
Implementation of Collaborative Filtering (Item-Item Similarity)
Implementation of NLP
Desining of Front-end
Testing and Debugging.
TRIANING DATA: - 1 JUNE TO 18 JUNE(more than 1 lakh entries)
TESTING DATA:- 19 JUNE to 25 JUNE(more than 40 thousand entries)
News Recommendation
News Recommendation
Instructions
Enter a user-id in the text box.
To See All USER ID
.Click on
USER ID
button
CLICK on
RECOMMEND
button
See the top 10 news titles with their ids.


--- layout: page title: About header-img: "img/about-bg.png" ---
Hi! I'm a newbie on the coding path, trying to let all this information sink in. This is my blog which will serve as a journal to share my experience learning to code with the Flatiron school. Thank you for reading!


The following is not required, but enables auto-login and auto-accept of trades
Please note: password is stored locally without encryption


| # | Device Name | Username | Start time | End time | Previous Username | Active | Timestamp |
|---|---|---|---|---|---|---|---|
| {{i+1}} | {{reservation.deviceName}} | {{reservation.username}} | {{reservation.startTime | date:'medium'}} | {{reservation.endTime | date:'medium'}} | {{reservation.previousUsername ? reservation.previousUsername : 'None'}} | {{reservation.active ? 'Yes' : 'No'}} | {{reservation.timestamp | date:'medium'}} |


Step 1.
Go toDashboard » Tools » Import
in the admin panel.
Once you have installed all theme Plugins you can import the Demo Content.  Restroe available content more than 95%. This action will let you understand how the theme works by allowing you to modify a content that is already there rather than creating it from scratch.
Dashboard » Tools » Import
in the admin panel.
Demo-Content/shadowerpro_wordpress_demo_content.xml
downloaded in the .zip above. Once selected, Click "Upload file and import".


We help you get set up with all that the Komodo Platform offers:
- Komodo blockchain,
insight explorer,
electrum Simple Payment Verifier,
doing a dICO,
get listed on several exchanges,
getting dPoW protection from Komodo Notary Nodes
100 messages
Before 05-Dec-19 12:00 AM
c2k18-Oct-18 02:09 AM
how to mine this one @blackjok3r ?
blackjok3r18-Oct-18 02:10 AM
why its usless
we launch DICE on 4 staked chains, and made a way to play them all at the same time
for free
and were told not to
becasue ti was broken
c2k18-Oct-18 02:11 AM
hmmm
blackjok3r18-Oct-18 02:11 AM
zim horribly confused as to why this chain exists
c2k18-Oct-18 02:11 AM
lololol
blackjok3r18-Oct-18 02:12 AM
I will trolld the crap out it
every day
stole my idea(edited)
c2k18-Oct-18 02:12 AM
if a pirate be stealin your idea i be understandin...
blackjok3r18-Oct-18 02:13 AM
meh made bank on pirate ... but this chain makes no sense.
you can rund DICE on any AC ...
it doesnt need its own chain... and the dealer can never withdraw
so after time, all the coins will end up in the dealer CC address
pointless
dice is a PoC
c2k18-Oct-18 02:14 AM
for sure. i will go back to my texas holdm app
lol
blackjok3r18-Oct-18 02:14 AM
you cant actually use it
c2k18-Oct-18 02:15 AM
i was hoping it was the next arrr and i could get in on the ground floor. missed the pirate boat until just recently
blackjok3r18-Oct-18 02:15 AM
lol.... STAKED
I am just being held back on launching it ... because someone is on holidays
c2k18-Oct-18 02:18 AM
yes im watching in there too
i see youre ready to pull the trigger
unless i teach myself how to code, most of this is way over my head
so im watching and learning what i can
off to sleep soon. have a good one
jspook1618-Oct-18 02:29 AM
Will any of the previous Stake coins carry forward or is it starting off fresh? @blackjok3r
blackjok3r18-Oct-18 02:31 AM
the STAKED4 coins will be kept .
but we will probably time lock them, so they cannot be staked for a certain amount of time to ahve a fair launch
the supply is tiny at the point anyway less than 1 million
the surrent chains are just a test net .. all will be discarded
jspook1618-Oct-18 02:35 AM
Copy that. Good luck. I think you've made progress on the video streaming from what I've seen on your channel right?
blackjok3r18-Oct-18 02:36 AM
Yes... I have a chain that only the creator can mine, by a consenus rule, so that nobody else cna submit data to it, and I have a way of sequentially feeding in 8kb chunks of data into the opreturn in a way that allows them to be taken back out and reassembeled.
Its very much a steep learning curve this stuff, no idea what Im doing, but jl gave me some good pointers.
random assortment of small scripts for use in the Komodo ecosystem - smk762/kmd_pulp
What about that one ... how much work went into that ?

   They have gone ahead and launched a chain, that doesnt respect ANY of the limitations we found in testing, and clearly didnt test it.
kmdkrazy18-Oct-18 04:37 AM
I guess making a private untested chain within the komodo notary network is a bad idea?  WTF!?


BookmarkWords.
What you
can do (for now!):
- Bookmark/delete words
- View the bookmarked words
- Learn new words as you come across riveting, new, lexicon ;) (if you already knew what that meant... Wow.)
What you
will be able to do soon (hopefully!):
- Have automatic definitions, or at least a link to the definitions
- Search through the words
- See a beatuiful logo every time you use the extension :)


ASIN(3) - [MATHEMATICS:TRIGONOMETRIC] Arcsine function
result = asin(x)
elemental TYPE(kind=KIND) function asin(x)TYPE(kind=KIND) :: x
o TYPE may be real or complex o KIND may be any kind supported by the associated type. o The returned value will be of the same type and kind as the argument.
ASIN(3) computes the arcsine of its argument X.
The arcsine is the inverse function of the sine function. It is commonly used in trigonometry when trying to find the angle when the lengths of the hypotenuse and the opposite side of a right triangle are known.
o X : The value to compute the arcsine of : The type shall be either real and a magnitude that is less than or equal to one; or be complex.
o RESULT The result has a value equal to a processor-dependent approximation to arcsin(x). If X is real the result is real and it is expressed in radians and lies in the range
PI/2 <= ASIN (X) <= PI/2.If the argument (and therefore the result) is imaginary the real part of the result is in radians and lies in the range
-PI/2 <= real(asin(x)) <= PI/2
The arcsine will allow you to find the measure of a right angle when you know the ratio of the side opposite the angle to the hypotenuse.
So if you knew that a train track rose 1.25 vertical miles on a track that was 50 miles long, you could determine the average angle of incline of the track using the arcsine. Given
sin(theta) = 1.25 miles/50 miles (opposite/hypotenuse)Sample program:
program demo_asin use, intrinsic :: iso_fortran_env, only : dp=>real64 implicit none ! value to convert degrees to radians real(kind=dp),parameter :: D2R=acos(-1.0_dp)/180.0_dp real(kind=dp) :: angle, rise, run character(len=*),parameter :: all=(*(g0,1x)) ! given sine(theta) = 1.25 miles/50 miles (opposite/hypotenuse) ! then taking the arcsine of both sides of the equality yields ! theta = arcsine(1.25 miles/50 miles) ie. arcsine(opposite/hypotenuse) rise=1.250_dp run=50.00_dp angle = asin(rise/run) print all, angle of incline(radians) = , angle angle = angle/D2R print all, angle of incline(degrees) = , angleResults:print all, percent grade=,rise/run*100.0_dp end program demo_asin
angle of incline(radians) = 2.5002604899361139E-002 angle of incline(degrees) = 1.4325437375665075 percent grade= 2.5000000000000000The percentage grade is the slope, written as a percent. To calculate the slope you divide the rise by the run. In the example the rise is 1.25 mile over a run of 50 miles so the slope is 1.25/50 = 0.025. Written as a percent this is 2.5 %.
For the US, two and 1/2 percent is generally thought of as the upper limit. This means a rise of 2.5 feet when going 100 feet forward. In the US this was the maximum grade on the first major US railroad, the Baltimore and Ohio. Note curves increase the frictional drag on a train reducing the allowable grade.
FORTRAN 77 , for a complex argument Fortran 2008
Inverse function: SIN(3)
fortran-lang intrinsic descriptions (license: MIT) @urbanjost
o wikipedia: inverse trigonometric functions
| Nemo Release 3.1 | asin (3) | July 22, 2023 |


ConsoleOutputFile Class
Definition
Line
883
of
cmsxk/File.cm
Inheritance
Constructors & Destructor
public
nothrow
ConsoleOutputFile
()
Member Functions
public
override
nothrow
bool
HasColors
()
const
public
override
nothrow
bool
IsConsole
()
const
public
override
long
Write
(
Machine
& machine,
Process
* writer,
ulong
bufferAddress,
long
count)
Constructor& Destructor Details
ConsoleOutputFile Constructor
public
nothrow
ConsoleOutputFile()
Definition
Line
885
of
cmsxk/File.cm
Member Function Details
HasColors Member Function
public
override
nothrow
bool
HasColors()
Definition
Line
909
of
cmsxk/File.cm
IsConsole Member Function
public
override
nothrow
bool
IsConsole()
Definition
Line
905
of
cmsxk/File.cm
Write Member Function
public
override
long
Write(
Machine
& machine,
Process
* writer,
ulong
bufferAddress,
long
count)
Definition
Line
888
of
cmsxk/File.cm


WITNESS LIST
Education
March 12, 2013 8:30 AM
FOR:
Morath (Morath), Mike Dallas ISD Trustee - District 2 (self), Dallas, TX
AGAINST:
Hammond, Bill President (TX Association of Business), Austin, TX
Scheberle, Drew Sr Vice President (also providing written testimony) (Greater Austin
Chamber of Commerce), Austin, TX
Smith, Beverly Social Studies Curriculum Coordinator Lovejoy ISD (also providing
written testimony) (Self, Social Studies, TCSS, TSSSA), Plano, TX
ON:
Amick, Stacey Parent (self), Flower Mound, TX
Aquino Garza, Priscilla Associate Program Officer (also providing written testimony)
(Educate Texas), Austin, TX
AUSTIN, GENE BOARD OF DIRECTOR (TEXAS INSTITUTE FOR EDUCATION
REFORM), Austin, TX
Bland, Eddie Superintendent (Texas Association of Community Schools), Bridgeport, TX
Byer, Von Deputy General Counsel (Texas Education Agency)
Canaday, Jennifer Government Relations Manager (Association of Texas Professional
Educators), Austin, TX
Cook, Kim (TaMSA - + myself), Austin, TX
Eaton, Holly Director of Professional Development + Advocacy (Tx Classroom Teachers
Assoc), Austin, TX
Hodge, Stacey Teacher Science 7 + 8 (self), Dallas, TX
Johnson, Trey Teacher (Dallas ISD), Dallas, TX
Majcher, Dineen (Self, TAMSA), Austin, TX
Paredes, Raymund Commissioner (Texas Higher Education Coordinating Board), Austin,
TX
Quinzi, Patty Legislative Counsel (also providing written testimony) (Tx - American
Federation of Teachers), Austin, TX
Scott, Michael Teacher (Teaching Trust), Dallas, TX
West, Dr. Sandra STAT Chair Legislative Committee (K-12) (TX Academy of Science
Science Teachers Assoc. of Tx (STAT)(K-12), Higher Ed), Bulverde, TX
Zyskowski, Gloria Director - Student Assessment Division (TX Education Agency),
Austin, TX
Registering, but not testifying:
FOR:
Barber, Kathy (NFIB / Texas), Austin, TX
DuBois, Doug Dir of Govt. Affairs (Texas Food & Fuel Assoc.), Austin, TX
Fainter Jr., John W. President + CEO (AECT), Austin, TX
Jackson, Richie C.E.O. (TEXAS RESTAURANT ASSOCIATION), Austin, TX
Mintz, David VP, Government Affairs (Texas Apartment Association), Austin, TX
Munoz, Ned General Counsel (Texas Association of Builders), Austin, TX
Sandberg, Eric CEO (Texas Bankers Association), Austin, TX
White, Michael Vice President (Texas Construction Association), Austin, TX
WITNESS LIST
Education
March 12, 2013 8:30 AM
AGAINST:
Erben, Andrew President (Texas Institute for Education Reform), Austin, TX
Francis, Bernie (Texas Business Leadership Council), Austin, TX
Providing written testimony:
ON:
Cohen, Michael President (Achieve Inc.), Washington, DC
Koehler, William Individual (Self), Ft. Worth, TX
McCreary, Casey Assistant Executive Director (Texas Association of School
Administrators (TASA)), Austin, TX
Shields, Julie Asst. Dir. of Governmental Relations (Tx Assoc. of School Boards), Austin,
TX
Whitsett, Maria Consultant (Texas School Alliance), Austin, TX


I have recently had the extreme pleasure of experiencing the wonderful world of Fox. After reading as much material online and in the library as possible about 5-MeO-DiPT, 2C-T-7, and AMT, I decided that the fox was the best bet. I recieved the material a week after ordering it, and divided the 100 mg pile by eye into 8 parts, each containing about 12.5 mg. I wasn't too worried about doing it by eye, because even if the doses wern't all exactly the same, one would have to be obviously larger in order to be dangerous.
A friend, T, and myself decided to take only half the tab at first. T is on an SSRI, and expected a diminished reaction, as is the case with mose psychedelics. The powder has the most awful taste I have ever experienced. Worse than alcohol, worse than mushrooms, and worse than San Pedro. Also, the taste seemed to soak into my mouth. I ended up having to brush my teeth to get it out, so please, use a gelcap. We dosed around 4:30 pm.
The preliminary effects started within 10 minutes. We were on the way to a local mall when this happened. Dizzyness, nausea, and a mild feeling of unreality. Nothing too serious, and not imparing at all. I asked T if he felt it, and he replied in the affirmative.  This worked wonderfully, and I highly suggest having some around when taking fox.
We arrived at the mall at T+ 1 hour. Now I was tripping hard. Colors were very enhances. Burning cigarrettes looked like neon bulbs on the end of sticks. It felt very much like mushrooms, with the body buzz of acid, and the 'pleasure' feeling of a little bit of ecstasy. Wow. When walking through the mall, strange auditory shifts and visual distortions manifested. The music playing sounded distorted, almost like the pitch was shifted downward, but I coulden't put my finger on it. The Christmas lights hanging from the roof looked distorted and bent, and appeared to be blowing around in the wind, but this was impossible, since we were indoors.
T was feeling it, but was clearly not at the same level I was at, so after sitting in the massage chairs in the Sharper Image for about 20 minutes, we returned to his house. T ate the other half of his tab, and we both had some more cannabis. It seems that every time I smoked pot that night, the effects of the Fox kicked back in just as strong as ever.
We headed out from there to a small party with some friends we both knew. This is not a good drug to sit around by yourself on. With acid, I could have fun staring at the walls, but Fox was different. I needed to be in a social situation. The party was perfect for this. T noted that he was feeling the effects of the second half tab very strongly now. We had a good time at the party for the rest of the night, and T had a few drinks with no ill effect.
After the party, we returned to my house to sit and talk for a while. Both of us were still tripping, so sleep was out of the question. This is when I noticed that, as well as having mushroom like effects, Fox also has MDMA like effects. Sitting in comfortable cloths, washing my face, etc. was very pleasurable. Around 2:00 AM (!), we called it a night. Sleep was restless. I had a hard time falling asleep, and didn't sleep well.
Overall, Fox gets two big thumbs up in my book. 6mg was quite enough for me, but T needed 12.5 to get off, probbally due to his SSRI prescription. This is a powerful substance, not to be taken lightly. For me, It was better than mushrooms. I really liked it and will definitely try it again. It seems to have only positive interactions with alcohol and cannabis. The day after I felt 'burned out', but nothing too bad considering the powerful effects it has. No worse than mushrooms. Be safe!
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.


Dear Friend, Respectfully submitted, My name is Mohammed Bello, the Assistant Manager, credit and foreign bills of UNION BANK PLC. I am writing this letter to solicit for support and assistance from you to carry out this business opportunity in my department. Lying in an inactive account awaiting liquidation is the sum of us$5million belonging to a foreign customer(Mr. Bernard Scott)with account number 14-2552004 who happens to be deceased. He died with his wife and two children in a plane crash on board the EAS BAC 111-500 flight which crashed at the recent Lagos/kano plane crash at Kano Nigeria. I got your e-mail address through an internet marketing firm while searching for a reliable and reputable person to handle this transaction. Ever since he died the bank has been expecting his next of kin to come and claim these fund, the NDIC could not liquidate the account because I have filled a motion that a next of kin wrote in to the effect. To this effect, they can not release the money unless someone applies for it as next of kin, as indicated in our banking guideline. Unfortunately he has no family member in Nigeria or Europe who are aware of the existence of the money (as he was a contractor with the federal Republic of Nigeria). At this juncture I have decided to do business with you in collaboration with officials that matter in the bank, to this effect I solicit your assistance in applying as the next of kin then the money will be released to you. As I do not want this money to go into the bank treasury as an unclaimed bill. The banking law and guideline stipulates that if such money(s) remains unclaimed for a period of time up to seven years (7yrs) the money will be transferred into the banks treasury as an unclaimed bill. Our request for a foreigner as next of kin is occasioned by the fact that the customer was a foreigner and a Ben noise cannot stand as next of kin. To effect the immediate transfer of the fund to you as agreed, you must apply first to the bank as the next of kin to the decease, and then we will follow up all formalities for the transaction. Note that this transaction is legal safe and 100% risk free and all modalities has been worked out for a successful transaction and all legal formalities have also been perfected. In view of this, You will be entitle for 30% of the total. Upon receipt of your reply which should be sent to<EMAIL_ADDRESS>for confidential reason, I will send to you by fax or mail the text of the application Form, as soon as you receive the text I will further clarify you in other issues as to affect the business. Await to hear from you. Respectfully submitted, Mr. Mohammed Bello.


 Actually, that’s a bit disingenuous and very boomer of me. Let’s be a bit more accurate.
I wrote a deliberatively provocative, unpopular opinion piece for our Just Putting It Out There series. My view?

I’m not going to get into my argument now (you can read my thoughts here), because that’s not what this article is about.
Was I shocked at the response? Not really. I was purposefully a shithouse and expected — nay, hoped — that people would get riled up. Despite this, the scale of the abuse surprised me. Literally hundreds of people displayed very clearly their unfamiliarity with the term “unpopular opinion.”
When I saw this, I knew I only had one option and one option only: to continue this shithousery. And that meant reviewing a selection of the angry tweets we received.
Oh, a note before we start, I blurred out the Twitter accounts of the people sending insulting messages, because I thought it’d be meant to shame them. You’re welcome, dark mode fans.
 This individual tried something a little different though. Yes, they lose some marks for lack of originality, but I do think the introduction of “edgelord” was a pleasant touch, reminding me of the purer, earlier days of the internet.
4/10
This really is the pinnacle of the “Just putting it…” format. You know how poets really stretch their creativity and writing muscles when forced to operate in a format like a sonnet? This is like that. Sir (because, remember, basically all these tweets were from men), consider me insulted. I dick, indeed.
8/10
I like this one a lot. It half-quotes my article, has a nice play on a classic phrase, but then ends on a positive note. Mental health is important and rage is bad, we should all remember that. Thank you, Twitter user.
7/10
Sometimes the classics are the best. This is simple and straight to the point. Also, I’m a big fan of the full stop, it really adds a classy finale to the proceedings — like a bow at the end of a play.
8/10
This one confuses me. The user refers to me as both an infant, AND makes a negative implication towards my sexual activity. It seems like they expect babies to be having sex? I like the creativity, but the messaging is muddled. Also, gross.
2/10
Is this ironic? Probably. But will I read it that way?  So, this is actually a compliment.  You imply that putting TNW in dark mode is bad, ergo the thing you’re defending (dark mode) is therefore bad. Despite the weak start, they finish strong with the classic “unfollowed,” which is worth a couple points in my opinion. I’d say this half put me in my place.
5/10
This is a reference to my face in the article’s header image. Honestly, this person killed it. I’m dead. I have been slain. No more life for me. My face is just, what? Crushing.
10/10
LOVE this energy. I received a few “ok boomer” tweets, which — in my mind — makes each proceeding one even better.
8/10
I’ve gotta say, this individual murdered me. At least with “ok boomer” I could say that I’m categorically not a boomer. But now? I’ve been got.
9/10
BONUS REVIEW: I wanna shout out this guy who took time out of his day to tag me in hate tweets that weren’t actually directed towards my Twitter account. This is the sort of service you can’t pay for. Also, I appreciate you blocking me after our chat.
11/10
So, there you have it!  Truly, I’ve learnt that people love dark mode.
Please, people, if you’re going to throw abuse online, at least make it entertaining and original. Do your best (or worst, whatever) here.
For more gear, gadget, and hardware news and reviews, follow Plugged on Twitter and Flipboard.


In Foreign Parts: Livingstonia fights its demons
UK news:
You're too detached, minister warns Blair
Tony Blair has been publicly warned by one of his own ministers that his government has become uncomfortably "detached" from its activist supporters.
Peace March: Biggest protest in a generation
John Major: Currie kisses 'n' runs
World news:
US draws up plans for Saddam's exile
The United States and a number of Arab countries have drawn up plans for the exile of Saddam Hussein to a neutral country.
Arafat: Bush urges Sharon to end siege
Pakistan: Clansmen come to Jemima Khan's aid
America: Last link to missing sports star dies
Education news:
AS-levels: Regrades as chaos spreads
Students: 'It's totally unjust. I know I deserved an A'
Europe:
Paris terrorism trial begins
Sport:
Tiger in tune for singular Sunday
Business:
ITV facing turn-off by advertisers
Digital:
IT loses the 'shortage' tag
People:
William Trevor: The quiet chronicler
|
|


v4.41.0
- Mobile on portrait mode will be able to set the number of inventory columns (the icon size will be resized to accomodate).
- You can now check your emblem objectives.
- Armor mods show more info.
- Destiny 1 transfers are faster.
- DIM is better at equipping exotics when you already have exotic ghosts, sparrows, and ships equipped.
- Pulling an item from the postmaster updates the list of items quickly now.
- Navigation from "About" or "Backers" back to your inventory works.
- is:dupelower breaks ties more intelligently.
View the changelog for
the full history.
Follow us on:


In order to continue using GDPR Compliance 360 please confirm the recurring charge.
To accept the charge navigate to the Apps section in your Shopify Store Admin, and click on the GDPR Compliance 360 link, you will then be prompted to accept the charge.
Alternatively, if you wish to uninstall the app completely, you may do so by clicking the icon.


About Dulguun Nyam-Ochir
My name is Dulguun but my friends call me Rick or Duk.
My classes this Quarter
- CS472 Web Programming
- CS435 Algorithms
- CS544 Enterprise Architecture
- CS572 Modern Web Applications
My favorite Movies are
- Interstellar released : 2014 IMDb
- Big Fish released : 2003 IMDb
- Mr. Nobody released : 2009 IMDb
My moods are
Happy:
Sad:
Fun facts about my Neighbors
Unfortunately there is no fun facts about my neighbors.


SSL = Secure Sockets Layer. Developed by Netscape in mid 1990s.
TLS = Transport Layer Security. IETF-standardised version of SSL.
The TLS 1.0 protocol stood untouched for seven years after it was standardized in 1999. TLS 1.0 is a minor revision to SSL 3.0, which was a major overhaul of SSLv2. 笔记：在1999年，TLSv1.0出现，它是由SSLv3变化而来，两者之间的差异并不大。
In 2006, Tim Dierks and Eric Rescorla drafted RFC 4346, specifying TLS 1.1 and making TLS 1.0 obsolete. By and large, TLS 1.1 is not a significant change from TLS 1.0. It added some new cipher suites and some clarifications and implementation notes, but the most important change is that initialization vectors are no longer computed from the master secret; instead, they're prepended to each packet. TLS 1.1 is not particularly common on the public Internet after it was drafted. 笔记：在2006年，TLSv1.1出现，它相对于TSLv1.0来说，变化并不大。总的来说，TLSv1.1在网络上使用的并不多。
TLS 1.2 was formally specified in 2008 which was two years after TLS 1.1 was drafted. It represents a significant change to its predecessor TLS 1.1 — mostly in terms of increased security options and additional cipher suite choices. 笔记：在2008年，TLSv1.2出现，它相对于TSLv1.1来说，是一个重大的版本更新。
TLS 1.3 was published in August 2018. It is the latest version of the TLS protocol. In a nutshell, TLS 1.3 is faster and more secure than TLS 1.2. 笔记：在2018年，TLSv1.3出现，它比TSLv1.2更快、更安全。
One of the changes that makes TLS 1.3 faster is an update to the way a TLS handshake works: TLS handshakes in TLS 1.3 only require one round trip (or back-and-forth communication) instead of two, shortening the process by a few milliseconds. And in cases when the client has connected to a website before, the TLS handshake will have zero round trips. This makes HTTPS connections faster, cutting down latency and improving the overall user experience. 笔记：这里讲TLSv1.3比TLSv1.2的速度要快
Many of the major vulnerabilities in TLS 1.2 had to do with older cryptographic algorithms that were still supported. TLS 1.3 drops support for these vulnerable cryptographic algorithms, and as a result it is less vulnerable to cyber attacks. 笔记：这里讲TLSv1.3比TLSv1.2更安全。
Originally designed for secure e-commerce, now used much more widely.
TLS has become the de facto secure protocol of choice.
type
: The higher-level protocol used to process the enclosed fragment.
version
: The version of the protocol being employed.
length
: The length (in bytes) of the following TLSPlaintext.fragment
. The
length should not exceed 2^14
.
fragment
: The application data. This data is transparent and is treated as
an independent block to be dealt with by the higher-level protocol
specified by the type
field.
The change cipher spec protocol exists to signal transitions in ciphering strategies.
笔记：change cipher spec protocol意味着“转变”，就是将当前使用的cipher strategy转变成一个新的cipher strategy。
The protocol consists of a single message,笔记：这个protocol包含了一个message
which is encrypted and compressed under the current (not the pending) connection state.
The message consists of a single byte of value 1
.笔记：这个message由1-byte的数据组成。
The change cipher spec message is sent by both the client and the server to notify the receiving party that subsequent records will be protected under the newly negotiated CipherSpec and keys. 笔记：client和server都要发送change cipher spec message。
Reception of this message causes the receiver to instruct the Record Layer to immediately copy the read pending state into the read current state. 笔记：这是从receiver的角度来说
Immediately after sending this message, the sender MUST instruct the record layer to make the write pending state the write active state. 笔记：这是从sender的角度来说
The change cipher spec message is sent during the handshake after the security parameters have been agreed upon, but before the verifying finished message is sent. 笔记：这是讲change cipher spec message发送的时机
One of the content types supported by the TLS Record layer is
the alert type. Alert messages convey the severity of the
message and a description of the alert.笔记：alert包含了两方面的信息：level和description。
Alert messages with a level of fatal
result in the immediate termination of the connection.笔记：遇到fatal级别的alert，意味着当前connection的终结
In this case, other connections corresponding to the session may continue,
but the session identifier MUST be invalidated,
preventing the failed session from being used to establish new connections.
笔记：如果遇到fatal级别的alert，当前connection要立即终结；
与当前connection共享同一个session_id的其它session来说，可以继续使用；
但是，这个session_id不能再用于创建新的connection。
Like other messages, alert messages are encrypted and compressed, as specified by the current connection state.笔记：alert信息，也可以进行加密。
The TLS Handshake Protocol is one of the defined higher-level clients of the TLS Record Protocol.笔记：TLS Handshake Protocol是位于TLS Record Protocol之上的 This protocol is used to negotiate the secure attributes of a session. 笔记：TLS Handshake Protocol是为了协商client和server之间的参数，例如，使用哪一个对称加密的算法、使用什么密码。 Handshake messages are supplied to the TLS Record Layer, where they are encapsulated within one or more TLSPlaintext structures, which are processed and transmitted as specified by the current active session state.


The Secret History
If you liked the thrillers and searching for another books like that we recommend you read this.Because it starts with a murder, is obsessed with ancient Greece and creats delicious illusion of being admitted to the most dangerous of confidences. [ 4.1\5 ]
The House in Cerulean Sea
A magical island. A dangerous task. A burning secret. [ 4.5\ ]
The Notebook
“I am nothing special, of this I am sure. I am a common man with common thoughts and I've led a common life. There are no monuments dedicated to me and my name will soon be forgotten, but I've loved another with all my heart and soul, and to me, this has always been enough..” Another classic romance novel for you to make you realise it is more than OK to appreciate the concept of love. [ 4.1\ ]
Notes on Grief
‘The grief is always there, just under the surface, ready to burst out at any slight trigger.’ A biography memoir to make us cocious of how much of a cruel teacher grief is [ 4.2\ ] .
The Mysterious Affair at Styles
“Every murderer is probably somebody's old friend.”


Which parts of our brains light up when reading programs? Is it the language region? Are programs treated as natural languages by the brain? Turns out, no.
Tags:
,
,
Do our brains process programming languages as natural language? Or do they process it as math and logic? I will talk about our recent work on identifying brain regions involved in comprehending computer programs. We use functional magnetic resonance imaging (fMRI) to investigate two candidate systems of brain regions which may support code comprehension – the Multiple Demand (MD) system, known to respond to a range of cognitively demanding tasks, and the Language system, known to primarily respond to language stimuli. We devise experiment conditions to isolate the act of code comprehension, and employ a state-of-the-art method to locate brain systems of interest. We administer these experiments in Python and ScratchJr. - which provides a visual interface to programming, thus eliminating the effect of text in code comprehension. From this robust experiment setup, we find that the language system is not consistently involved in code comprehension, while the MD system is. We also find that variable names, the control flow used in the program, and the types of operations performed do not affect brain responses.
This is joint work with Una-May O’Reilly from CSAIL, MIT; Anna Ivanova, Yotaro Sueoka, Hope Kean, Evelina Fedorenko from the department of Brain and Cognitive Sciences, MIT, and Riva Dhamala, Marina Bers from the Eliot-Pearson Department of Child Study and Human Development, Tufts University.
This work appeared in eLife: https://elifesciences.org/articles/58906
PDF - Rewritten for a computer science audience
Slides from an outreach talk at a high school in Greater Boston
Press: [MIT News] [Reddit] [Hackernews]


Energy Storage
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| DOSE: |
4 oz |
oral |
DXM |
(liquid) |
The past several days(weeks?) I had been bored and just feeling dull. I hadn't used anything else for a week or two, and bought a bottle of Robotussin Maximum Strength Cough and Cold even though I knew it was the wrong kind. The only other ingredient it had in it was guafinesin which makes you want to puke.
I started drinking it at about 5:45 and finished almost close to 6 (get powder or do an extraction if you can). I had used DXM three times before with ok results so I didn't expect much. I started my stopwatch when I finished drinking but forgot about it by the time it hit, maybe 30 minutes later. I got a big rush of a body high at first, followed by noticing how bright all the colors were. I just sat there watching tv for a while, by now time had no meaning, before walking around. It almost felt like I was drunk, but only while moving. Kinda like every movement was magnified ALOT. I felt really detached from my body, kinda like in Being John Malkivich. You can't really describe what I felt like as third person, but my body didn't look like or feel like mine. Maybe a half hour later I closed my eyes and noticed some patterns peeling into others. After that I realized that there was a slight cross hatch pattern over my vision. This went on for the rest of night untill I went to bed.
The next morning I woke up and felt REALLY good, it wasn't untill I was really awake and at school that I was still enough to notice the CEV's. These weren't quite as intense but they got more intense for the first couple of hours and then rapidly dispersed. This was kind of disturbing to me because we were taking some important tests. Strangely though, I answered the questions without having to actively think about it. Wandering thoughts were able to come and go without any disturbance and I still just sat there and toiled away. By night I was VERY tired and went to bed early.
Now three days after doseing, I'm back at baseline, but still in a nice after glow. I don't think I learned anything from this experiance except that this might have been the drug used, or something similar, when the Matrix and Being John Malkavich was made. It made me realize that there is more to life than most of us want to agree. Truely this can provide a good couple of days of fun, but it is extremly strange and variable.
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.


break - Abort looping command
break
This command is typically invoked inside the body of a looping command
such as for or foreach or while.
It returns a TCL_BREAK code, which causes a break exception
to occur.
The exception causes the current script to be aborted
out to the innermost containing loop command, which then
aborts its execution and returns normally.
Break exceptions are also handled in a few other situations, such
as the catch command, Tk event bindings, and the outermost
scripts of procedure bodies.
Print a line for each of the integers from 0 to 5:
for {set x 0} {$x<10} {incr x} {
if {$x > 5} {
break
}
puts "x is $x"
}
catch, continue, for, foreach, return, while
abort, break, loop
Copyright © 1995-1997 Roger E. Critchlow Jr.
Copyright © 1993-1994 The Regents of the University of California.
Copyright © 1994-1996 Sun Microsystems, Inc.


Apple makes use of both formal and informal protocols in the Cocoa framework. Formal protocols are those protocols that are implemented using Objective-C protocols:
@protocol NSFoo <NSSomeProtocol> -(int)doesIt; @end
Conforming to a formal protocol requires the interface of a class to explicitly declare that it implements that protocol, and the implementation must implement all methods of the protocol.
Informal protocols are defined as categories on NSObject with no implementation:
@interface NSObject(FooDelegate) -(void)optionalFooDelegateMethod; @end
Conforming to an informal protocol is much like conforming to a protocol in Python, the class simply implements the methods as documented. In most cases, informal protocols are comprised entirely of optional methods (i.e. NSApplicationDelegate) and a check is made (i.e. -[NSObject respondsToSelector:]) before sending the message to the target.
PyObjC has an explicit representation for informal protocols. This makes it possible to use the protocol description to provide better error messages and to automaticly deduce the method signatures for classes that implement an informal protocol.
Informal protocols are represented using instances of objc.informal_protocol. These instances are automaticly added to a registry used by the class builder, so it is not necessary to explicitly state that a class implements an informal protocol.
PyObjC also has an explicit representation for formal protocols.
Formal protocols are represented as instances of objc.formal_protocol. Unlike informal protocols, it is necessary to explicitly declare conformance to formal protocols. However, all formal protocols in Cocoa are also described using objc.informal_protocol objects.
In python 2.x declaring conformance to a formal protocol is done by using the formal protocol as a mix-in, and by implementing its methods:
1 2 3 4 5 6 7 8 NSLocking = objc.protocolNamed('NSLocking') class MyLockingObject(NSObject, NSLocking): def lock(self): pass def unlock(self): pass
In python 3.x you don’t use the protocols as mix-ins, but specify them as a keyword argument:
1 2 3 4 5 6 7 8 NSLocking = objc.protocolNamed('NSLocking') class MyLockingObject(NSObject, protocols=[NSLocking]): def lock(self): pass def unlock(self): pass
The class now formally implements the NSLocking protocol, this can be verified using the Objective-C introspection methods:
>>> MyLockingObject.pyobjc_classMethods.conformsToProtocol_(NSLocking) 1
This is useful for API’s that require (and check) the implementation of formal protocols.


Project Information
sales Order Number
SO Error
Customer Name
class Reg sent
reported Rev Rec
status
book date
ship date
planning meeting date
kickoff meeting date
onsite start date
onsite end date
release for revenue rec date
wait time
days to close
booked to kickoff
amount
notes
location
region
wait time
service
accountTeam
remote
onsite
Save
Clear


This is my attempt to list everything I've made since 2012. It's powered by a Google Spreadsheet, and I use Miso Dataset to grab the data out of it. The source code for this listing is on Github.


BRBeaconMessagePacketAggregate Class Reference
| Inherits from | BRBeaconMessageAggregate : NSObject |
|---|---|
| Declared in | BRBeaconMessagePacketAggregate.h BRBeaconMessagePacketAggregate.m |
Other Methods
– initWithFirstMessage:andAggregateDuration:
- (id)initWithFirstMessage:(BRBeaconMessage *)firstMessagee andAggregateDuration:(long)aggregateDurationInMs


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ShadowDagger Impact03
FS08
Attack Impact07
Attack Impact06
FS09
ShadowDagger Impact02
HauntingWave Projectile01
HauntingWave Projectile03
Attack Impact10
Attack Impact04
Attack Impact05
ShadowDagger Impact01
HauntingWave Projectile02
Attack Impact01
ShadowDagger Impact04
HauntingWave Projectile05
Attack Impact02
Attack Impact03
HauntingWave Projectile04
HauntingWave Launch01
HauntingWave End03
HauntingWave End02
ShadowDagger Launch06
HauntingWave Launch02
ShadowDagger Launch04
HauntingWave End01
ShadowDagger Launch05
HauntingWave Launch03
ShadowDagger Launch01
HauntingWave End04
ShadowDagger Launch02
ShadowDagger Launch03
ShadowDagger Spread05
ShadowDagger Spread04
ShadowDagger Spread06
ShadowDagger Spread03
ShadowDagger Spread02
ShadowDagger Spread01
ShadowDagger DOT06
FS01
FS14
ShadowDagger DOT07
ShadowDagger DOT05
FS02
FS03
ShadowDagger DOT04
FS13
FS07
Attack Impact08
Attack Impact09
FS06
FS12
ShadowDagger DOT01
ShadowDagger DOT03
FS04
FS10
FS11
FS05
ShadowDagger DOT02


{% assets "css_journeys" %} {% endassets %}
Browse screenshots of the various CSL journeys we are reimagining during this alpha


After Client Admin creates the Ship From Location, he has to create users who work from a particular Ship From Location. There are three types of users that a Client Admin can create. They are:
1. Admin: Admin is Client Admin. One client Admin can create another Client Admin.
2.
3. Tracking: Tracking User is the one who is responsible for Auditing, Tracking and Generating Reports in the Ship From Location which are created by Client Admin.
Figure 3.1
a. Create New User:
Click on “Create” button to create new user. Then create user page is opened as shown in Figure3.2 Provide the details and click on “Save” button to create the user. Click on “Clear” to delete all the values and “Close” button to go to the User Details page. Below one is the create user page.
Figure 3.2
Client Admin has to provide following details:
1. First Name: First name of the user.
2. Last Name: Last name of the user(optional)
3. User Name/Email Address: Provide a valid email address.
4. Alternate Email Address: Provide a valid email address.
5. Role: Responsibility of the user i.e. Admin/Shipping User/Tracking User.
6. Location: The Ship From Location from which the user operates.
7. Status: Active Users only able to login and work.
8. Address Book : In Create User Page there are two types of Address Book that a Client Admin can create are described below:
User Level : If User Level is selected for a particular user, then when the respective user is logged into the shipping page , the ship to location created/imported by the respective user will be shown in LOV.
Customer Level : If Customer Level is selected, then when the respective user is logged into the shipping page , the ship to location created/imported by the respective user will be shown in LOV.
Figure 3.3
After filling all the details click on save button, a message will be displayed at top right corner showing successful creation of user as shown in Figure3.4
On clicking “Close” button user details screen will be displayed which contains newly created user details as shown in Figure 3.5
Figure 3.4
Figure 3.5
b. Update User:
Client Admin can update/change the existing Users by clicking on edit image as shown below
Figure 3.6
On clicking the edit image, update user page is opened as shown in Figure 3.7
Figure 3.7
In Update User page Client Admin can change any one of the fields or all the fields, i.e. he can change Role of the User or Location etc of that user and click on “Save” button to update the values. If the values are saved successfully, a message will be displayed at top right corner. Or click on “Close” button to go to the User Details Screen as shown in below figure
Figure 3.8
Above screen shows the updated Username and Role of the user. Successful update message displayed at top center of the page. Clicking on “Close” button redirects to the User Details page with updated values as shown below.
Figure 3.9


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Fantastic historical place with an old astronomical clock, which is one of the European wonders.
The hidden jewell. Fantastic historical palace in Baroque style. The movie Amadeus by Milos Forman was shot here. The entrance is very cheap - Only 1 CZK ... 0,01 EUR.
Great place for an evening drink with an outstanding view of Prague Castel and the Vltava river bank. This modern building is present in every architecture text-book.
Rebuild barracks shopping mall with local and international brands. There is a food court on the upper floor.
Wonderful modern place 200 meter above the ground with a bar and restaurant. Great views, decent prices.
An observation tower close to the centre of Prague. It strongly resembles the Paris’ Eiffel tower and is one of the best view points in Prague
Mindmaze is one of the top-rated ones on trip advisor. Escape rooms are a great way to try something a little different with a group of friends.
Biggest aquapark in Czech Republic. Pools, slides, saunas, whirlpools, masages, everything. By city bus 45 mins from city centre.
Amazing terrace garden in the French style. Very romantic place with low tourist traffic. Great for couples, newlyweds etc.
Nice english style park with great view of the Prague castle and city centre, most tourist miss this one. Great place for a picnic and afternoon chill-out.
Modern art gallery. Provocative exhibitions, fun pieces of art. This place is Very popular among young artists.
Biggest painting exhibition in Prague. You can see here works of Czech and foreign painters.


INVOICE TO:
{{invoice[invoice_no]["name"]}}
{{invoice[invoice_no]["addr"]}}
{{invoice[invoice_no]["cno"]}}
INVOICE {{invoice_no}}
Date of Invoice: {{invoice[invoice_no]["date"]}}
| Sno. | SERVICE/PRODUCT NAME | PRICE | No. OF TIMES / QUANTITY | TOTAL |
|---|---|---|---|---|
| {{count[0]}} | {{data[i~""]["name"]}} |
₹{{data[i~""]["prise"]}} | {{invoice[invoice_no]["qty"][count[0] - 1]}} | ₹{{t1*t2}} |
| SUBTOTAL | {% set total=invoice[invoice_no]["amount"] |int %}₹{{total}} | |||
| {% set tax=invoice[invoice_no]["tax"] |int %} | TAX {{tax}} | ₹{{total*tax/100}} | ||
| GRAND TOTAL | ₹{{total*tax/100+total}} | |||
| Status | {{invoice[invoice_no]["status"]}} |
Thank you!
NOTICE:
A finance charge of 1.5% will be made on unpaid balances after 30 days.


Home
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Snake Info
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See a snake near you? take a photo and we will find out.
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{% extends "viper.html" %} {% block content %}
Predict!


Directories | |
| directory | clipper |
| directory | flex |
Files | |
| file | DFPN2.cpp |
| file | DFPN2.h [code] |
| file | Event.h [code] |
| file | Facade.cpp |
| The Facade following the facade pattern. The facade pattern gives a class to access the subsystem of the models. The controllers send requests to the facade. | |
| file | Facade.h [code] |
| file | Formula.cpp |
| file | Formula.h [code] |
| file | GeometryHelper.cpp |
| file | GeometryHelper.h [code] |
| file | IntervalSet.cpp |
| file | IntervalSet.h [code] |
| file | Line.cpp |
| file | Line.h [code] |
| file | Logger.h [code] |
| file | main.cpp |
| file | main2old.cpp |
| file | mainold.cpp |
| file | ModelChecker.cpp |
| The model checker class for model checking HPNGs against STL. | |
| file | ModelChecker.h [code] |
| file | Polygon.cpp |
| file | Polygon.h [code] |
| file | Region.cpp |
| file | Region.h [code] |
| file | TimedDiagram.cpp |
| file | TimedDiagram.h [code] |


State patrol reminds people seatbelt use is Ohio law
by EndPlayCOLUMBUS, Ohio (AP) - Ohio's State Highway Patrol is reminding people to always use seatbelts.
The patrol says more than 1,300 people not wearing seatbelts were killed in crashes in Ohio the past two years. The state's 2018 Observational Seatbelt Survey found only 85% of motorists in compliance with Ohio's seat belt law.
Lt. Michael Akers commands the patrol's Columbus post. He says seatbelts dramatically increase the odds of surviving a crash while reducing injuries.
The patrol says 121,019 people in Ohio were convicted of driving or riding in a passenger vehicle for not wearing a seatbelt last year.
The patrol says troopers stopping motorists for other violations will enforce state law if they find people not wearing seatbelts.


What are you in the mood for?
Musey makes finding new music fun and easy. Pick a mood, activity, genre, or combine all three to find playlists tailored to your tastes and personality!
Musey was designed from the ground up to make your music curation experience the best around.
Designed by Ardavan Amini, Arjun Iyer and Stefan Rimola.
Right panel content goes here


About Me
Welcome to my basic portfolio page. This is my first site written in HTML and CSS. I am a Salesforce developer and global admin with basic experiences about HTML and CSS. I am currently living in Atlanta GA since 2 years ago. Please my portfolio Page Portfolio Page to know more about me. And if you have an questions be sure to Contact Me.
Mostly, some of my personal goals include creating applications designed to reduce customer service costs, machine learning, big data and enhanced process management. Consequently, I am constantly concerned with improving my skills in order to exchange knowledge and experiences with others within the field.
Career: Global CRM Salesforce expert. Promoted following corporate divestiture/restructuring to define Salesforce enhancement with pay/invoice integration strategy and maintain legacy system. Server as Salesforce developer, perform gap analysis on procurement and inventory systems, recommend and implement system enhancements, and lead regression testing activities to ensure compliance with corporate policies, controls, and procedures. Manage cross-functional team supporting business stakeholders.
Great Feedback! David it´s amazing partner and coworker in the software developing´s process and research for new technologies. He is always concerned about the team mates and the persons involved in the work. He is very responsible and interest in guesting the job done as well, in the best fashion possible. He is always looking for new approach. He is a tech enthusiastic and a hard worker person. He is very polite, professional and honest about the job and his teammates.


INFO 14/09/2019 15:36:01
Settings file not found. Loading defaults.
INFO 14/09/2019 15:36:10
Connected to database.
INFO 14/09/2019 15:36:16
Application loaded.
WARNING 14/09/2019 15:36:50
GET request could not be processed.
javax.ws.rs.ProcessingException: javax.net.ssl.SSLException: Received fatal alert: internal_error
-- org.glassfish.jersey.client.internal.HttpUrlConnector.apply(HttpUrlConnector.java:284)
-- org.glassfish.jersey.client.ClientRuntime.invoke(ClientRuntime.java:278)
-- org.glassfish.jersey.client.JerseyInvocation.lambda$invoke$0(JerseyInvocation.java:753)
-- org.glassfish.jersey.internal.Errors.process(Errors.java:316)
-- org.glassfish.jersey.internal.Errors.process(Errors.java:298)
-- org.glassfish.jersey.internal.Errors.process(Errors.java:229)
-- org.glassfish.jersey.process.internal.RequestScope.runInScope(RequestScope.java:414)
-- org.glassfish.jersey.client.JerseyInvocation.invoke(JerseyInvocation.java:752)
-- org.glassfish.jersey.client.JerseyInvocation$Builder.method(JerseyInvocation.java:419)
-- org.glassfish.jersey.client.JerseyInvocation$Builder.get(JerseyInvocation.java:319)
-- com.rohitawate.everest.requestmanager.RequestManager$1.call(RequestManager.java:103)
-- com.rohitawate.everest.requestmanager.RequestManager$1.call(RequestManager.java:1)
-- javafx.concurrent.Task$TaskCallable.call(Task.java:1425)
-- java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
-- javafx.concurrent.Service.lambda$executeTask$6(Service.java:725)
-- java.base/java.security.AccessController.doPrivileged(Native Method)
-- javafx.concurrent.Service.lambda$executeTask$7(Service.java:724)
-- java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
-- java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
-- java.base/java.lang.Thread.run(Thread.java:834)
INFO 14/09/2019 15:41:20
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Application loaded.
INFO 14/09/2019 15:42:22
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INFO 14/09/2019 15:42:48
Settings file not found. Loading defaults.
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Connected to database.
INFO 14/09/2019 15:42:55
Application loaded.
INFO 14/09/2019 15:43:04
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Connected to database.
INFO 14/09/2019 15:44:25
Application loaded.
INFO 14/09/2019 15:48:03
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INFO 14/09/2019 15:48:17
Settings file not found. Loading defaults.
INFO 14/09/2019 15:48:20
Connected to database.
INFO 14/09/2019 15:48:29
Application loaded.
INFO 14/09/2019 15:48:47
Application state saved.
INFO 14/09/2019 15:49:08
Settings file not found. Loading defaults.
INFO 14/09/2019 15:49:10
Connected to database.
INFO 14/09/2019 15:49:19
Application loaded.
INFO 14/09/2019 15:49:45
Application state saved.
INFO 14/09/2019 15:49:58
Settings file not found. Loading defaults.
INFO 14/09/2019 15:50:01
Connected to database.
INFO 14/09/2019 15:50:09
Application loaded.
INFO 14/09/2019 15:50:32
Application state saved.
INFO 14/09/2019 15:51:16
Settings file not found. Loading defaults.
INFO 14/09/2019 15:51:19
Connected to database.
INFO 14/09/2019 15:51:27
Application loaded.
INFO 14/09/2019 15:51:52
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INFO 14/09/2019 15:52:03
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INFO 14/09/2019 15:52:06
Connected to database.
INFO 14/09/2019 15:52:12
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INFO 14/09/2019 15:53:26
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INFO 14/09/2019 15:53:37
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INFO 14/09/2019 15:53:40
Connected to database.
INFO 14/09/2019 15:53:44
Application loaded.
INFO 14/09/2019 15:55:14
Application state saved.
INFO 14/09/2019 15:55:31
Settings file not found. Loading defaults.
INFO 14/09/2019 15:55:34
Connected to database.
INFO 14/09/2019 15:55:38
Application loaded.
INFO 14/09/2019 15:56:12
Application state saved.
INFO 14/09/2019 15:58:11
Settings file not found. Loading defaults.
INFO 14/09/2019 15:58:13
Connected to database.
INFO 14/09/2019 15:58:18
Application loaded.
INFO 14/09/2019 15:58:27
Application state saved.
INFO 14/09/2019 16:58:45
Settings file not found. Loading defaults.
INFO 14/09/2019 16:58:47
Connected to database.
INFO 14/09/2019 16:58:52
Application loaded.
INFO 14/09/2019 16:59:03
Application state saved.
INFO 14/09/2019 16:59:13
Settings file not found. Loading defaults.
INFO 14/09/2019 16:59:16
Connected to database.
INFO 14/09/2019 16:59:21
Application loaded.
INFO 14/09/2019 16:59:40
Application state saved.
INFO 14/09/2019 16:59:55
Settings file not found. Loading defaults.
INFO 14/09/2019 16:59:58
Connected to database.
INFO 14/09/2019 17:00:02
Application loaded.
INFO 14/09/2019 17:00:23
Application state saved.
INFO 14/09/2019 17:02:18
Settings file not found. Loading defaults.
INFO 14/09/2019 17:02:20
Connected to database.
INFO 14/09/2019 17:02:25
Application loaded.
INFO 14/09/2019 17:02:44
Application state saved.
INFO 14/09/2019 17:04:23
Settings file not found. Loading defaults.
INFO 14/09/2019 17:04:26
Connected to database.
INFO 14/09/2019 17:04:30
Application loaded.
INFO 14/09/2019 17:04:50
Application state saved.
INFO 14/09/2019 17:05:01
Settings file not found. Loading defaults.
INFO 14/09/2019 17:05:04
Connected to database.
INFO 14/09/2019 17:05:09
Application loaded.
INFO 14/09/2019 17:05:23
Application state saved.
INFO 14/09/2019 17:05:32
Settings file not found. Loading defaults.
INFO 14/09/2019 17:05:35
Connected to database.
INFO 14/09/2019 17:05:40
Application loaded.
INFO 14/09/2019 17:05:47
Application state saved.
INFO 14/09/2019 17:06:08
Settings file not found. Loading defaults.
INFO 14/09/2019 17:06:11
Connected to database.
INFO 14/09/2019 17:06:16
Application loaded.
INFO 14/09/2019 17:06:39
Application state saved.
INFO 14/09/2019 17:07:53
Settings file not found. Loading defaults.
INFO 14/09/2019 17:07:55
Connected to database.
INFO 14/09/2019 17:08:01
Application loaded.
INFO 14/09/2019 17:08:29
Application state saved.
INFO 14/09/2019 17:08:34
Application state saved.
INFO 14/09/2019 17:08:36
Application state saved.
INFO 14/09/2019 17:08:46
Settings file not found. Loading defaults.
INFO 14/09/2019 17:08:49
Connected to database.
INFO 14/09/2019 17:08:54
Application loaded.
INFO 14/09/2019 17:09:04
Application state saved.
INFO 14/09/2019 17:09:50
Settings file not found. Loading defaults.
INFO 14/09/2019 17:09:52
Connected to database.
INFO 14/09/2019 17:09:58
Application loaded.
INFO 14/09/2019 17:10:10
Application state saved.
INFO 14/09/2019 17:10:16
Application state saved.
INFO 14/09/2019 17:10:29
Settings file not found. Loading defaults.
INFO 14/09/2019 17:10:32
Connected to database.
INFO 14/09/2019 17:10:37
Application loaded.
INFO 14/09/2019 17:10:45
Application state saved.
INFO 14/09/2019 17:19:47
Settings file not found. Loading defaults.
INFO 14/09/2019 17:19:49
Connected to database.
INFO 14/09/2019 17:19:55
Application loaded.
INFO 14/09/2019 17:20:12
Application state saved.
INFO 14/09/2019 17:20:26
Settings file not found. Loading defaults.
INFO 14/09/2019 17:20:28
Connected to database.
INFO 14/09/2019 17:20:34
Application loaded.
INFO 14/09/2019 17:20:52
Application state saved.
INFO 14/09/2019 17:23:34
Settings file not found. Loading defaults.
INFO 14/09/2019 17:23:37
Connected to database.
INFO 14/09/2019 17:23:42
Application loaded.
INFO 14/09/2019 17:23:55
Application state saved.
INFO 14/09/2019 17:24:06
Settings file not found. Loading defaults.
INFO 14/09/2019 17:24:09
Connected to database.
INFO 14/09/2019 17:24:15
Application loaded.
INFO 14/09/2019 17:24:27
Application state saved.
INFO 14/09/2019 17:24:37
Settings file not found. Loading defaults.
INFO 14/09/2019 17:24:40
Connected to database.
INFO 14/09/2019 17:24:46
Application loaded.
INFO 14/09/2019 17:24:54
Application state saved.
INFO 14/09/2019 17:25:45
Settings file not found. Loading defaults.
INFO 14/09/2019 17:25:47
Connected to database.
INFO 14/09/2019 17:25:52
Application loaded.
INFO 14/09/2019 17:26:05
Application state saved.
INFO 14/09/2019 17:26:17
Settings file not found. Loading defaults.
INFO 14/09/2019 17:26:20
Connected to database.
INFO 14/09/2019 17:26:25
Application loaded.
INFO 14/09/2019 17:26:38
Application state saved.
INFO 14/09/2019 17:28:01
Settings file not found. Loading defaults.
INFO 14/09/2019 17:28:04
Connected to database.
INFO 14/09/2019 17:28:09
Application loaded.
INFO 14/09/2019 17:28:23
Application state saved.
INFO 14/09/2019 17:28:36
Settings file not found. Loading defaults.
INFO 14/09/2019 17:28:39
Connected to database.
INFO 14/09/2019 17:28:44
Application loaded.
INFO 14/09/2019 17:29:21
Application state saved.
INFO 14/09/2019 17:31:45
Settings file not found. Loading defaults.
INFO 14/09/2019 17:31:48
Connected to database.
INFO 14/09/2019 17:31:53
Application loaded.
INFO 14/09/2019 17:32:25
Application state saved.
INFO 14/09/2019 17:32:38
Settings file not found. Loading defaults.
INFO 14/09/2019 17:32:40
Connected to database.
INFO 14/09/2019 17:32:45
Application loaded.
INFO 14/09/2019 17:32:53
Application state saved.
INFO 14/09/2019 17:39:38
Settings file not found. Loading defaults.
INFO 14/09/2019 17:39:41
Connected to database.
INFO 14/09/2019 17:39:45
Application loaded.
INFO 14/09/2019 17:41:06
Application state saved.
INFO 14/09/2019 17:41:16
Settings file not found. Loading defaults.
INFO 14/09/2019 17:41:19
Connected to database.
INFO 14/09/2019 17:41:23
Application loaded.
INFO 14/09/2019 17:42:01
Application state saved.
INFO 14/09/2019 17:42:15
Settings file not found. Loading defaults.
INFO 14/09/2019 17:42:18
Connected to database.
INFO 14/09/2019 17:42:22
Application loaded.
INFO 14/09/2019 17:42:55
Application state saved.
INFO 14/09/2019 17:43:07
Settings file not found. Loading defaults.
INFO 14/09/2019 17:43:09
Connected to database.
INFO 14/09/2019 17:43:14
Application loaded.
INFO 14/09/2019 17:43:38
Application state saved.
INFO 14/09/2019 17:43:50
Settings file not found. Loading defaults.
INFO 14/09/2019 17:43:52
Connected to database.
INFO 14/09/2019 17:43:57
Application loaded.
INFO 14/09/2019 17:44:13
Application state saved.
INFO 14/09/2019 17:44:23
Settings file not found. Loading defaults.
INFO 14/09/2019 17:44:25
Connected to database.
INFO 14/09/2019 17:44:30
Application loaded.
INFO 14/09/2019 17:45:03
Application state saved.
INFO 14/09/2019 17:49:22
Settings file not found. Loading defaults.
INFO 14/09/2019 17:49:25
Connected to database.
INFO 14/09/2019 17:49:29
Application loaded.
INFO 14/09/2019 17:50:38
Application state saved.
INFO 14/09/2019 17:50:49
Settings file not found. Loading defaults.
INFO 14/09/2019 17:50:51
Connected to database.
INFO 14/09/2019 17:50:56
Application loaded.
INFO 14/09/2019 17:56:51
Application state saved.
INFO 14/09/2019 17:58:57
Settings file not found. Loading defaults.
INFO 14/09/2019 17:59:00
Connected to database.
INFO 14/09/2019 17:59:06
Application loaded.
WARNING 14/09/2019 17:59:37
GET request could not be processed.
javax.ws.rs.ProcessingException: java.net.ConnectException: Connection refused: connect
-- org.glassfish.jersey.client.internal.HttpUrlConnector.apply(HttpUrlConnector.java:284)
-- org.glassfish.jersey.client.ClientRuntime.invoke(ClientRuntime.java:278)
-- org.glassfish.jersey.client.JerseyInvocation.lambda$invoke$0(JerseyInvocation.java:753)
-- org.glassfish.jersey.internal.Errors.process(Errors.java:316)
-- org.glassfish.jersey.internal.Errors.process(Errors.java:298)
-- org.glassfish.jersey.internal.Errors.process(Errors.java:229)
-- org.glassfish.jersey.process.internal.RequestScope.runInScope(RequestScope.java:414)
-- org.glassfish.jersey.client.JerseyInvocation.invoke(JerseyInvocation.java:752)
-- org.glassfish.jersey.client.JerseyInvocation$Builder.method(JerseyInvocation.java:419)
-- org.glassfish.jersey.client.JerseyInvocation$Builder.get(JerseyInvocation.java:319)
-- com.rohitawate.everest.requestmanager.RequestManager$1.call(RequestManager.java:103)
-- com.rohitawate.everest.requestmanager.RequestManager$1.call(RequestManager.java:1)
-- javafx.concurrent.Task$TaskCallable.call(Task.java:1425)
-- java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
-- javafx.concurrent.Service.lambda$executeTask$6(Service.java:725)
-- java.base/java.security.AccessController.doPrivileged(Native Method)
-- javafx.concurrent.Service.lambda$executeTask$7(Service.java:724)
-- java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
-- java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
-- java.base/java.lang.Thread.run(Thread.java:834)
INFO 14/09/2019 17:59:40
Application state saved.
INFO 14/09/2019 17:59:52
Settings file not found. Loading defaults.
INFO 14/09/2019 17:59:55
Connected to database.
INFO 14/09/2019 18:00:01
Application loaded.
INFO 14/09/2019 18:00:44
Application state saved.
INFO 14/09/2019 18:00:55
Settings file not found. Loading defaults.
INFO 14/09/2019 18:00:58
Connected to database.
INFO 14/09/2019 18:01:03
Application loaded.
INFO 14/09/2019 18:01:38
Application state saved.
INFO 14/09/2019 18:25:00
Settings file not found. Loading defaults.
INFO 14/09/2019 18:25:04
Connected to database.
INFO 14/09/2019 18:25:14
Application loaded.
INFO 14/09/2019 18:26:16
Application state saved.
INFO 14/09/2019 18:27:03
Settings file not found. Loading defaults.
INFO 14/09/2019 18:27:06
Connected to database.
INFO 14/09/2019 18:27:10
Application loaded.
INFO 14/09/2019 18:28:11
Application state saved.
INFO 14/09/2019 18:50:22
Settings file not found. Loading defaults.
INFO 14/09/2019 18:50:25
Connected to database.
INFO 14/09/2019 18:50:30
Application loaded.
INFO 14/09/2019 18:52:25
Application state saved.
INFO 14/09/2019 18:52:43
Settings file not found. Loading defaults.
INFO 14/09/2019 18:52:45
Connected to database.
INFO 14/09/2019 18:52:50
Application loaded.
INFO 14/09/2019 18:53:47
Application state saved.


Parameters
You can use a parameter to store a value that differs between deployments but is fixed for all cases of a deployed process.
The value is set when you configure the process. For example, if you have a process for approving expense reports, you could define a parameter for the approver’s email address that is set at deployment.
The value can also be changed after deployment:
- In versions 7.0.x, if you are using the Enterprise or the Performance edition
- In versions 7.1.0 and above, if you are using the Enterprise, Performance or Efficiency edition
Defining a process parameter
You can define a parameter for a pool or for a lane. A parameter can be of type text, Boolean, integer, or double.
To define a parameter:
- Open the process diagram and select the pool or lane.
- In the Data tab, go to the Parameters pane. A table of the parameters already define is displayed.
- Click Add, enter the parameter name, choose the type from the drop-down list, and optionally add a description of the parameter.
To modify a parameter (for example to change its type), click on the existing type on in the table of parameters and choose the new type from the drop-down list.
To remove a parameter, select it in the table of parameters and click Remove.
Configuring parameter values
Parameter values are set in Bonita Studio when the process is configured (see the process configuration overview for other details of how to configure a process).
To set a parameter value:
- Open the process diagram in Bonita Studio.
- Choose an environment from Configure menu in the cool bar.
- Click Parameters in the left-hand menu of the configuration wizard. A table of process parameters and their current values is displayed.
- Select the table cell for the parameter value you want to set or modify, and enter the new value.
- When all the parameters values have been set, click Finish.
You can export the parameter values to a file by clicking Export parameters as file…. The default file name is process_name_Parameters.properties. You can also set parameter values by importing a parameter.properties file. The values in the file are used to set the values of the corresponding parameters. Note that importing a parameters.properties file does not create parameters in the process, just sets the values of those that exist if they are present in the file.
When you build a process for deployment (see Import and export a process), the .bar archive that is created also contains a parameters.properties file.
You can edit a parameters.properties file to change the value of a parameter before importing it into Bonita Studio or before deploying the .bar. You can also edit the file after process deployment, but this is not recommended if the process is running. If you need to change a parameter value for a process that is in production, update the process configuration in Bonita Portal).
Parameter usage in forms
From 7.x, to use parameters in forms, you need to retrieve them using the REST API.


Accessing Colors
@function color()
The primary function for accessing colors in your palette, or making adjustments on the fly.
This is more than a wrapper for map-get($colors, $x)
.
It also handles internal color-references, recursion,
and functional color-adjustments.
It has access to the global $colors
map by default,
but you can also pass in arbitrary color-palette maps as well.
Since 2.0.0
:
- BREAKING: Provides access to color-contrast defaults, if they haven’t been re-set by the user
Since 1.0.0
:
- BREAKING: Renamed
$palette
arg to$source
- BREAKING: Accepts
$do
argument between$color
and$source
Parameters & Return
$color: (string | list)
The name of a color in your palette, or a color description in the map configuration format.
$do: null (map | null)
A map of function/ratio adjustments to run on the returned value
$source: $colors (map)
Optional map containing the source color-palette.
Defaults to the global $colors
map.
@return (color)
A calculated css-ready color, based on your global color palette and adjustments.
Example
$colors: (
'background': #eee,
'text': #222,
);
html {
background: color('background');
color: color('text');
}
html {
background: #eee;
color: #222;
}
Used By
@mixin contrasted()
@function luminance()
@function shades-of()
@function stripe-colors()
@function tint()
@function shade()
@function _a_best-contrast() [private]
Color Configuration
$colors (map)
$colors: () !default;
A variable storing the map of
all colors globally-available on your project.
Any colors added to the $colors
map will be accessible
to the color()
function by default.
Define each color with a name
, base-value
,
and optional adjustments
…
$colors: (
'color-name': <base-value>,
'color-two': <base-value> ('<color-function>': '<arguments>'),
// will return: function-name($base-value, $arguments...)
);
- Name your colors anything – from abstractions like
brand-pink
, to concrete patterns likebutton
orwidget-background
. - Base-values can be CSS-ready colors (hex, rgb, hsla), or references other colors in the map.
- Adjustments are a nested map of color functions and arguments, for adjusting colors directly in your palette.
The color-names contrast-light
and contrast-dark
are special
(with or without a private _
prefix).
Use those names to define the default light-and-dark options
for our color-contrast tools.
They default to white
and black
respectively.
Since 0.1.0
:
- BREAKING: Uses the new shared map syntax, for internal references and adjustments
Examples
$colors: (
'brand-pink': hsl(330, 85%, 62%),
'brand-light': #fff,
'brand-dark': #222,
);
$colors: (
'background': '#brand-light',
'text': '#brand-dark',
'link': '#brand-pink',
);
$colors: (
'focus': '#link' ('darken': 15%, 'desaturate': 15%),
);
Used By
@mixin add-colors()
@function stripe-colors()
@mixin stripe-colors()
@function _a_default-contrast() [private]
@function _a_best-contrast() [private]
@mixin add-colors()
Merge individual color maps into the global $colors
variable,
in case you want to define colors in smaller groups
such as brand-colors
, link-colors
, etc
before merging them into a single global color-palette.
This can be useful for internal organization,
documentation with SassDoc,
or integration with our pattern-library generator:
Herman.
Parameters & Output
$maps: (map...)
Pass any number of maps to be merged.
{CSS output} (code block)
- An updated global
$colors
variable, with new maps merged in.
Example
$brand-colors: (
'brand-dark': #222,
'brand-pink': hsl(330, 85%, 62%),
);
$text-colors: (
'text': '#brand-dark',
'link': '#brand-pink',
);
@include add-colors($brand-colors, $text-colors);


find_log_file¶
-
Data_Reduction.DSN.logs.
find_log_file
(logdir, prefix, year, midfix, doy, suffix, max_look_back)¶ Find a generic log file.
Notes
Tries the current date and then work backwards as much as ‘max_look_back’ days until one is found. The pseudo-code for this is:
initialize output list to empty count = 0 # look bad only max_look_back days while output list is empty form name pattern if name pattern has * result = glob(pattern) if result is not empty: return result elif max_look_back exceeded: return empty result else: try an earlier date else: while log name == None: see if file exists if yes: return log name as a list elif max_look_back exceeded: return empty list else: try an earlier date return output list
- :param logdirstring
Full path to the directory with the log(s)
- :param prefixstring
Whatever precides the date, such as ‘PESD-pm-‘. Could include ‘*’
- :param yearint
Four digit year
- :param midfixstring
What, if anything, that goes between the year andd the day of year. Could be ‘’.
- :param doyint
Day of year, no leading zero(s)
- :param suffixstring
The rest of the pattern. Could include ‘*’.
- :param max_look_backint
Number of days before the specified DOY to look for the file
- Returns
list File names of the latest file fitting the pattern


HIPAA
Please note that the health data we collect as part of this Mobile Sock App are not protected by HIPAA and our company’s HIPAA Notice of Privacy Practices does not apply.
USE
How we use your data internally
We for the following purposes:
collect and use your identifiable dataSHARE
How we share your data externally with other companies or entities
We
share your identifiable dataWe
(note that remaining data may not be anonymous)
SELL
Who we sell your data to
We , only with your permission to some or all of the following
sell your identifiable dataMarketing
Firms
Advertising
Networks
Analytics
Firms
Data
Brokers
Here is how to adjust your permission:
Use the settings in the app to allow us to sell your information. .
We to some or all of the following
sell your data AFTER removing identifiers (note that remaining data may not be anonymous)Marketing
Firms
Advertising
Networks
Analytics
Firms
Data
Brokers
STORE
How we store your data
ENCRYPTION
How we encrypt your data
You must turn on device encryption on your mobile device.
Cloud computing means a kind of Internet-based computing that provides shared processing resources and data to computers and other devices on demand.
PRIVACY
How this technology accesses other data
This technology or app
request access to other device data or applications, such as your phone's camera, photos, or contactsit connects to
Camera
Photos
Contacts
Location Services
Microphone
Health Monitoring Devices
Here is how you can check your settings, including permissions set as a default.
Use your device's App settings to change the App permissions to other services on your device.
This technology or app
allows you to share the collected data with your social media accounts, like Facebook .USER OPTIONS
What you can do with the data that we collect
Access your data
Edit your data
Delete your data
Here is how to do this..
See http://www.enterprivacy.com for more information.
DEACTIVATION
What happens to your data when your account is deactivated
When your account is deactivated/terminated by you or the company, your data are deleted after 30 days
POLICY CHANGES
How we will notify you if our privacy policy changes
If we change your privacy policies, you will receive a notice via the App.
BREACH
How we will notify you and protect your data in case of an improper disclosure
In the event of a serious breach of data, we will publicly acknowledge the breach on our website and seek to inform individuals affected by direct communications.
CONTACT US
Mobile Sock of America, Inc.
607 S. Alexander Street Suite 215, Plant City, FL 33563
Privacy policy: http://www.enterprivacy.com
Contact Form: http://www.enterprivacy.com
Email<EMAIL_ADDRESS>Phone:<PHONE_NUMBER>
Here is how you can check your settings.
If you wish to disable sharing of your fitness level, you can remove the Mobile Sock App from your Facebook applications list.