--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/.22Type-Driven.20Program.20Synthesis.22.html ---
I just watched and enjoyed this talk: "Type-Driven Program Synthesis" by Nadia Polikarpova. To a newbie like me, this kind of automation seems quite cool and mindblowing. Also, the way she described synthesizing programs as a search problem made me think of @Scott Morrison 's rewrite_search
demo.
How much of this is useful / within reach for theorem proving? Presumably there are some restrictions (e.g. decidability?) on what this can be used on, but I haven't looked too hard at the paper. How different are "refinement types" from subtypes in lean? Here's the "Synquid" repository and live demo. I guess the work is from 2016, so maybe it's already been discussed pre-zulip?
I don't see why we couldn't do it in Lean
Refinement types are another way to express the same idea as subtypes, but the execution is different
in particular, a refinement type is a subtype, in the sense that if x : {v : T | stuff}
then x : T
. Lean does not have subtyping in this sense
Do we have coercion between a subtype and its carrier type?
In lean, this means you have to insert functions going back and forth, but since the VM erases proofs these functions disappear from generated code
yes, there is a coe instance for subtype
If you have xs : list { v : T | stuff }
, I don't suppose xs.map subtype.val
will reduce to id
, will it?
unfortunately no. This is one place where I want compiler support for marking functions as "VM identity functions"
same for list.attach
Haskell has the same trouble
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


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"""
This file contains multiple methods to optimise the calculation of the
Mandelbrot set in mandelbrot.py. All functions return a detail :math:`\\times`
detail numpy array containing the output of the functions implementing the
Mandelbrot set.
Naive implementation:
- naive() implements the computation of the Mandelbrot set without any
optimisation techniques.
Numba, jit:
- jit_func() is identical to naive() but optimised with numba using the
@jit decorator
- njit_par() is identical to naive() but optimised with numba using the
@njit decorator and parallelised using the (parallel=True) flag.
Due to the iterative nature of the generation of the mandelbrot set, and the
if-statement it contains (inevitably causing branch divergence to happen), it
is hard to vectorise the iterations in the Mandelbrot function itself. One
could, however, vectorise one level up, i.e., have the calculation for
multiple values of :math:`c` happen ad the same time.
Numba, vectorize:
- vectorised() tries to vectorise the calculation of the Mandelbrot set
by looping through the imaginary values and calculating multiple real
values. The inverse was not done, as the numpy arrays used are
C-contiguous, meaning that the values of the rows (one imaginary value
multiple real values) are stored consecutively in memory. The function
calls the naive non-optimised implementation for calculating the
Mandelbrot set for comparison.
- jit_vectorised() is identical to vectorised but uses the numba-optimised
implementation of the function calculating the Mandelbrot set, as well as
being numba-optimised itself using the @jit decorator.py
- gu_jit_vectorised() attempts to use general ufuncs to implement
vectorisation.
The non-optimised functions (naive() and vectorised()) have an @profile
decorator so that we can see what lines of code are heaviest. To profile the
functions run "kernprof -l -v mandelbrot/run.py" from the root of the
repository.
Finally, the jit_save_z() function returns -- on top of the numpy array
containing the outputs of the Mandelbrot functions -- the values of :math: `z`
from the last iteration in that function. To optimise the function, we use
parallelisation using the the @njit decorator with the parallel flag set to
True as this optimisation technique was found to speed up the algorithm most
(see benchmark.py). The jit_save_z() method is only used by plot_z_values.py.
"""
import mandelbrot.mandelbrot_alg as mb
from numba import jit, njit, prange, vectorize, guvectorize, float64, int64
# Took the following from Thomas' example to avoid errors when trying to run files
# No-op for use with profiling and test
try:
@profile
def f(x): return x
except:
[docs] def profile(func):
def inner(*args, **kwargs):
return func(*args, **kwargs)
return inner
[docs]@profile
def naive(detail, rVals, iVals, res):
"""
The 'naive' solution for computing the Mandelbrot set using for-loops.
INPUT::
detail : int
How detailed should the simulation be.
rVals : Numpy array of size (detail,)
The values for the real component of c to iterate over.
iVals : Numpy array of size (detail,)
The values for the imaginary component of c to iterate over.
res : Numpy array of floats of size (detail, detail)
Matrix of zeros that will be filled with outputs of the function
generating the Mandelbrot set.
OUTPUT::
res : Numpy array of floats of size (detail, detail)
Matrix containing the result of the function generating the
Mandelbrot set for all values of c that this function has iterated
over
"""
for i in range(detail):
for r in range(detail):
res[i, r] = mb.M(rVals[r] + iVals[i]*1j)
return res
[docs]@jit
def jit_func(detail, rVals, iVals, res):
"""
The same 'naive' solution as the naive() but optimised with numba using
the @jit decorator
"""
for i in range(detail):
for r in range(detail):
res[i, r] = mb.M_jit(rVals[r] + iVals[i]*1j)
return res
[docs]@njit(parallel=True)
def njit_par(detail, rVals, iVals, res):
"""
The same 'naive' solution as the naive() but optimised with numba using
parallelisation with the @njit decorator and the parallel flag set to True.
The 'range' funtions have been replaced by 'prange' to tell the compiler
that these loops can be parallelised.
"""
for i in prange(detail):
for r in prange(detail):
res[i, r] = mb.M_jit(rVals[r] + iVals[i]*1j)
return res
@vectorize(['float32(float32, float32)', 'float64(float64, float64)'])
def _vectorised_loop(r, i):
"""
Internal function to be used by vectorised(). The function is vectorised
using the @vectorise decorator and takes in two floating-point values and
returns a floating-point value.
"""
return mb.M(r + i*1j)
[docs]@profile
def vectorised(detail, rVals, iVals, res):
"""
The same 'naive' solution as the naive() but with the nested for-loop
(looping over the reals) vectorised.
The vectorisation strategy is to calculate a row at a time, rather than a
column, as the numpy 'matrix' is stored C-contiguously (by default). This
means that row elements are neighbouring in memory and the implementation
should be faster this way.
"""
for i in range(detail):
res[i, :] = _vectorised_loop(rVals, iVals[i])
return res
@vectorize(['float32(float32, float32)', 'float64(float64, float64)'])
def _jit_vectorised_loop(r, i):
"""
Internal function to be used by jit_vectorised(). Identical to
_vectorised_loop(), but uses the @jit version of the function calculating
the Mandelbrot set.
"""
return mb.M_jit(r + i*1j)
[docs]@jit
def jit_vectorised(detail, rVals, iVals, res):
"""
Same as the vectorised function, but optimised with numba using the @jit
decorator. Furthermore it calls the vectorised loop that uses the numba-
optimised version of the function calculating the Mandelbrot set.
"""
for i in range(detail):
res[i, :] = _jit_vectorised_loop(rVals, iVals[i])
return res
@guvectorize(['void(int64, float64[:], float64[:], float64[:, :])'], '(), (n),(n)->(n,n)', target='cpu')
def gu_jit_vectorised(detail, rVals, iVals, res):
"""
A general ufunc attempting to vectorise both for loops in the jit_func()
function using the @guvectorise decorator. Rather than returning the
result, it is saved in the last input argument of the function: res. This
denoted by the mapping in the argument of the decorator:
(), (n),(n)->(n,n)
which essentially says that it creates a n x n array from a scalar and two
n x 1 arrays.
"""
for i in range(detail):
for r in range(detail):
res[i, r] = mb.M_jit(rVals[r] + iVals[i]*1j)
[docs]@njit(parallel=True)
def jit_save_z(detail, rVals, iVals, res, z_res, I, T):
"""
Extra function that saves the values of :math:`z` from the last iteration
in the function generating the Mandelbrot set.
This function is only used by plot_z_values.py.
INPUT::
detail : int
How detailed should the simulation be.
rVals : Numpy array of size (detail,)
The values for the real component of c to iterate over.
iVals : Numpy array of size (detail,)
The values for the imaginary component of c to iterate over.
res : Numpy array of floats of size (detail, detail)
Matrix of zeros that will be filled with outputs of the
function generating the Mandelbrot set.
OUTPUT::
z_res : Numpy array of complex128 of size (detail, detail)
Matrix containing the last value of z before the function
generating the Mandelbrot set returns.
res : Numpy array of floats of size (detail, detail)
Matrix containing the result of the function generating the
Mandelbrot set for all values of c that this function has iterated
over.
"""
for i in prange(detail):
for r in prange(detail):
z_res[i, r], res[i, r] = mb.M_save_z(rVals[r] + iVals[i]*1j, I, T)
return z_res, res


JSON Resume Parser App
A simple tool to parse a given .json url resume into a presentation format such as .html. This tool offers two types of parsing techniques. One with d3 javascript visualization library and other with python standard json parsing.
Choose Kind Of Parser:
JavaScript (d3)
Python
Python(Theme-Paper)
PureJson
Paste One Of the Below URL(s) to see the parsed Resume.
https://raw.githubusercontent.com/nchikkam/projects/master/mvly/json/resume.json
https://raw.githubusercontent.com/nchikkam/projects/master/mvly/json/extendedresume.json


The TimeSpanLabel control displays a label representing a span between two times such as the patient's age. The label may include units of years, months, weeks, days, hours, minutes and seconds. The units may be expressed in long or short units, with use of plural or singular units determined automatically. The following table provides information on the long and short unit versions and their singular and plural forms.
| Long units (singular) | year | month | week | day | hour | minute | second |
| Long units (plural) | years | months | weeks | days | hours | minutes | seconds |
| Short units (singular) | y | m | w | d | hr | min | sec |
| Short units (plural) | y | m | w | d | hrs | min | sec |
Additional information relating to this control can be found on the corresponding MSCUI control page.


Weapon type:
Select a Weapon Type
Dagger
Hammer
Heavy Blade
Machete
Nikana
Polearm
Rapier
Scythe
Staff
Sword
Damage (Combined):
Attack Speed:
Status Chance (%):
Critical Chance (%):


This is a normal paragraph.
This is a bold paragraph.
This is a blue paragraph.
This paragraph is bold and blue!
Only the last last paragraph should be highlighted.


{% extends 'core/base_nav.html' %} {% block login_active %}active{% endblock %} {% block body %} {% if user.is_authenticated %} {% include 'core/user_home.html' %} {% else %}
In today's world internet is the most popular way of connecting with the people. At Friends.com you can connect with the people around the world.


Getting Started: Java Ahead of Time compilation with VMKit
This page gives you the instructions on how to use the Java ahead of time compiler of VMKit.
- Checkout and build VMKit from SVN head.
- Compile into a dynamic library the core Java libs (e.g. GNU Classpath):
- cd tools/vmjc/libvmjc
- make ENABLE_OPTIMIZED=1 REQUIRES_FRAME_POINTER=1 (go get coffee)
- Update PATH to include LLVM and VMKit binaries (replace *_OBJ with your directory):
- export PATH=$(LLVM_OBJ)/Release/bin:$(VMKIT_OBJ)/Release/bin
- Update LD_LIBRARY_PATH to include the dynamic library previously compiled (replace VMKIT_OBJ with your directory):
- export LD_LIBRARY_PATH=$(VMKIT_OBJ)/Release/lib
- Use the llcj tool on a class or a jar file:
- llcj -S Foo.class (emit bytecode)
- llcj --main=Foo Foo.class (generate an executable)
- llcj -c Foo.class (generate an object file)


text in a border (none)
text in a border (hidden)
text in a border (solid)
text in a border (dashed)
text in a border (dotted)
text in a border (double)
text in a border (groove)
text in a border (ridge)
text in a border (inset)
text in a border (outset)
text with different border styles


| "Quiz of The Day" Winners | ||||
| 1 July | 2 July | 3 July | 4 July | 5 July |
| 6 July | 7 July | 8 July | 9 July | 10 July |
| 11 July | 12 July | 13 July | 14 July | 15 July |
| 16 July | 17 July | 18 July | 19 July | 20 July |
| 21 July | 22 July | 23 July | 24 July | 25 July |
| 26 July | 27 July | 28 July | 29 July | 30 July |
| 31 July |
| "Guess the Word" Winners | ||||
| 1 July | 2 July | 3 July | 4 July | 5 July |
| 6 July | 7 July | 8 July | 9 July | 10 July |
| 11 July | 12 July | 13 July | 14 July | 15 July |
| 16 July | 17 July | 18 July | 19 July | 20 July |
| 21 July | 22 July | 23 July | 24 July | 25 July |
| 26 July | 27 July | 28 July | 29 July | 30 July |
| 31 July |


Create HTTP errors for Express, Koa, Connect, etc. with ease.
var createError = require('http-errors');
app.use(function (req, res, next) {
if (!req.user) return next(createError(401, 'Please login to view this page.'));
next();
})
This is the current API, currently extracted from Koa and subject to change.
All errors inherit from JavaScript Error
and the exported createError.HttpError
.
expose
- can be used to signal if message
should be sent to the client, defaulting to false
when status
>= 500message
status
and statusCode
- the status code of the error, defaulting to 500
var err = createError(404, 'This video does not exist!');
status: 500
- the status code as a numbermessage
- the message of the error, defaulting to node's text for that status code.properties
- custom properties to attach to the objectvar err = new createError.NotFound();
code
- the status code as a numbername
- the name of the error as a "bumpy case", i.e. NotFound
or InternalServerError
.| Status Code | Constructor Name |
|---|---|
| 400 | BadRequest |
| 401 | Unauthorized |
| 402 | PaymentRequired |
| 403 | Forbidden |
| 404 | NotFound |
| 405 | MethodNotAllowed |
| 406 | NotAcceptable |
| 407 | ProxyAuthenticationRequired |
| 408 | RequestTimeout |
| 409 | Conflict |
| 410 | Gone |
| 411 | LengthRequired |
| 412 | PreconditionFailed |
| 413 | PayloadTooLarge |
| 414 | URITooLong |
| 415 | UnsupportedMediaType |
| 416 | RangeNotSatisfiable |
| 417 | ExpectationFailed |
| 418 | ImATeapot |
| 421 | MisdirectedRequest |
| 422 | UnprocessableEntity |
| 423 | Locked |
| 424 | FailedDependency |
| 425 | UnorderedCollection |
| 426 | UpgradeRequired |
| 428 | PreconditionRequired |
| 429 | TooManyRequests |
| 431 | RequestHeaderFieldsTooLarge |
| 451 | UnavailableForLegalReasons |
| 500 | InternalServerError |
| 501 | NotImplemented |
| 502 | BadGateway |
| 503 | ServiceUnavailable |
| 504 | GatewayTimeout |
| 505 | HTTPVersionNotSupported |
| 506 | VariantAlsoNegotiates |
| 507 | InsufficientStorage |
| 508 | LoopDetected |
| 509 | BandwidthLimitExceeded |
| 510 | NotExtended |
| 511 | NetworkAuthenticationRequired |


Showing a quick example of a Bootstrap table. It's much easier to use a CSS library than write my own. But to show that I can style things myself, I've styled this paragraph with inline CSS. This Paragraph also has a jQuery fade effect. Hover over me to see!
| Name | About | Education | Skills | Work | Contact |
|---|---|---|---|---|---|


Suspect sought for two thefts at North Naples Walmart
by WFTX Digital TeamCOLLIER COUNTY, Fla. -- Deputies are looking for a man they say was involved in two separate thefts from a Walmart store in recent months.
According to the Collier County Sheriff's Office, the thefts happened at the North Naples Walmart store in September and October.
They believe the man seen here is involved.
If you have any information regarding his identity please contact CCSO at<PHONE_NUMBER>. If you wish to remain anonymous you can call our tips line at 1-800-780-TIPS (8477) or SWFL Crime Stoppers 1-800-780-TIPS (8477).


Not completely sure if this counts as a hobby :D. I often though create small programms and scripts for different purposes, while trying to build on a skill. So far, I've been working with the below languages, and associating them with the tasks below.
| C | C# | CSS | HTML | JavaScript | Python |
|---|---|---|---|---|---|
| Low-level programming | Mid-level programming | Webpage styling | Webpage structuring | Webpage interactions | High-level programming |
So, what's your favorite?


Please provide your GitHub username. Your assignment will begin immediately when you click "Begin Assignment" so please be sure that you are ready before proceeding.
GitHub Username:
Begin Assignment


--- title: Adobe Analytics API Dynamic ITP Report author: Ben R Woodard date: '2022-01-18' slug: [] categories: [adobe analytics, adobeanalyticsr] tags: [itp, adobeanalyticsr, analytics] images: [itpimpactreport.png] authors: [Ben R Woodard] ---
Warning: Measuring ITP impact is a classic example of attempting to measure a “moving target”. The example below uses segment definitions that were effective at showing the impact of ITP on traffic as of late 2021. This is for demonstration purposes only.
The first setup step is identifying the report suite you are going to be using for the report. This can be as easily as looking in the admin for Adobe Analytics or running the aw_get_reportsuites()
function in adobeanalyticsr. Either way, this step should be fairly simple.
The second step is usually done through training and reviews but when using code we can generate visuals that more consistently aligned with our expectations. While visuals are still customized for each report, this type of code based deliverable enables us to include visualization best practices into all of our reports and presentations.
Finally, the last step of our setup process is creating the segments and calculated metrics. Historically, we have needed to go into a report suite and create these elements. There were problems with consistent naming conventions and other user errors due to having so many ‘touch points’ in that process. By using the API we have been able to streamline this step in the setup process. It is now a single function that first checks for existing segments with the same name in the account and then builds them if they do not exist.
The power of this report is in the ability to automate the segment creation process and then pull data according to each segment without ever having to log into the user interface. Since the segment definitions use basic dimensions and metrics, there is no need to customize these dimensions across report suite.
#Define the ReportSuite to be used
rsid <- Sys.getenv('AW_REPORTSUITE_ID')
## Get the base ggplot theme design attributes
tt <- tim_themes()
## Get the Segment ID's
### create the segments and calculated metric
segids <- create_itp_segments()
### assign the ids needed to call the appropriate data
best_seg <- segids$bestseg
worst_seg <- segids$worstseg
return_seg <- segids$returnseg
return_cm <- segids$returncm
Now that we have the setup done, we can get right into the visualization part. This has been a hot topic among my peers on the best way to present the ITP Impact. The following visuals are adjusted a little (or a lot) with every client presentation but they give us a solid start to communicating the impact of ITP on their analytics.
The first visual shows the distribution of the ‘Best Case’ Traffic estimate vs the ‘Worst Case’ Traffic segments over the last 90 days.
#pull the all traffic 90 day data
all.ninetydays <- aw_freeform_table(rsid = rsid,
date_range = c(Sys.Date()-91, Sys.Date()-1),
dimensions = 'daterangeday',
metrics = 'visits') %>%
mutate(type = 'all.visits')
#pull the best case segment traffic 90 day data
best.ninetydays <- aw_freeform_table(rsid = rsid,
date_range = c(Sys.Date()-91, Sys.Date()-1),
dimensions = 'daterangeday',
metrics = c('visits'),
segmentId = best_seg) %>%
mutate(type = 'best.case')
#pull the worst case segment traffic 90 day data
worst.ninetydays <- aw_freeform_table(rsid = rsid,
date_range = c(Sys.Date()-91, Sys.Date()-1),
dimensions = 'daterangeday',
metrics = c('visits'),
segmentId = worst_seg) %>%
mutate(type = 'worst.case')
rbind
function.#row bind the data together
ninetydays <- rbind(best.ninetydays, worst.ninetydays, all.ninetydays)
#transform the data a bit to present percentages
avg_traffic <- ninetydays %>%
pivot_wider(names_from = type, values_from = visits) %>%
mutate(bestcase_prop = round(best.case/all.visits, digits = 2),
worstcase_prop = round(worst.case/all.visits, digits = 2)) %>%
mutate(avg_worst = round(mean(worstcase_prop), digits = 2),
avg_best = round(mean(bestcase_prop), digits = 2)) %>%
distinct(avg_worst, avg_best)
#define where the annotations should appear on the chart
annotation_location <- ninetydays %>%
filter(daterangeday == max(ninetydays$daterangeday)-30) %>%
pivot_wider(names_from = type, values_from = visits) %>%
mutate(bestcase_prop = round(best.case/all.visits, digits = 2),
worstcase_prop = round(worst.case/all.visits, digits = 2)) %>%
select(daterangeday, bestcase_prop, worstcase_prop)
#create the visualization using the data
ninetydays %>%
pivot_wider(names_from = type, values_from = visits) %>%
mutate(bestcase_prop = round(best.case/all.visits, digits = 2),
worstcase_prop = round(worst.case/all.visits, digits = 2)) %>%
mutate(avg_worst = round(mean(worstcase_prop), digits = 2),
avg_best = round(mean(bestcase_prop), digits = 2)) %>%
select(daterangeday,bestcase_prop, worstcase_prop, avg_worst, avg_best) %>%
pivot_longer(cols = 2:3) %>%
ggplot(aes(daterangeday, value, color = name)) +
geom_line() +
scale_color_manual(values = c('#F58220', '#009CAB')) +
scale_y_continuous(labels = scales::percent, limits = c(0, 1) ) +
annotate('text',
label= glue::glue('Worst Case Avg. \n {scales::percent(avg_traffic$avg_worst)}'),
x = max(ninetydays$daterangeday)-10,
y = annotation_location$worstcase_prop + .29, #adjust the distance from the 'worst' line on the graph
color = '#009CAB',
fill = 'white') +
annotate('text',
label= glue::glue('Best Case Avg. \n {scales::percent(avg_traffic$avg_best)}'),
x = max(ninetydays$daterangeday)-10,
y = annotation_location$bestcase_prop + .15, #adjust the distance from the 'best' line on the graph
color = '#F58220',
fill = 'white') +
tt$theme_lines +
theme(legend.position = 'none', title = element_text(vjust = 1),
plot.title = element_text(face = 'plain', hjust = 0.0),
plot.subtitle = element_text(color = '#333333', vjust =5),
plot.caption = element_text(color = '#888888', face = 'italic', size = 8) ) +
labs(title = "Estimated Best and Worst Case ITP Impacted Traffic",
subtitle = '90 Day Traffic Trend and Average',
caption = glue::glue('Data Source: reportsuite *rsid*'))
This next visual gives a larger look-back window and summarizes it by month as opposed to day. It is intended to help the analyst answer the following questions:
It also should inform whether or not we will expect changes going forward for volume of Best and Worst Case visits.
Because we want the best look-back window possible we start by defining how many days March 1, 2020 was from today. This number will be used in the function argument date_range
to make sure we include much of 2020 without having to do much additional math. We could add the data in the character form, ‘2020-04-01’, but then we would have to define today’s date in the same character format in order for the c()
function to send in the date range correctly. It’s easier to define the days since today and then just subtract it from today’s date.
#determine the number of days to subtract from today
dayssince200401 <- as.numeric(Sys.Date()-1 - as.Date('2020-04-01'))
#pull the data
all.12months <- aw_freeform_table(rsid = rsid,
date_range = c(Sys.Date()-dayssince200401, Sys.Date()-1),
dimensions = 'daterangemonth',
metrics = c('visits')) %>%
mutate(type = 'all.visits')
best.12months <- aw_freeform_table(rsid = rsid,
date_range = c(Sys.Date()-dayssince200401, Sys.Date()-1),
dimensions = 'daterangemonth',
metrics = c('visits'),
segmentId = best_seg) %>%
mutate(type = 'best.case')
worst.12months <- aw_freeform_table(rsid = rsid,
date_range = c(Sys.Date()-dayssince200401, Sys.Date()-1),
dimensions = 'daterangemonth',
metrics = c('visits'),
segmentId = worst_seg) %>%
mutate(type = 'worst.case')
## bind the data sets together
twelvemonths <- rbind(best.12months, worst.12months, all.12months)
# Transform the daterangemonth column to date, just in case.
twelvemonths <- twelvemonths %>%
mutate(date = lubridate::my(daterangemonth))
# Define how man months we are looking at
monthscount <- length(unique(twelvemonths$daterangemonth))
# Get the averages in traffic
avg_traffic <- twelvemonths %>%
pivot_wider(names_from = type, values_from = visits) %>%
mutate(bestcase_prop = round(best.case/all.visits, digits = 2),
worstcase_prop = round(worst.case/all.visits, digits = 2)) %>%
mutate(avg_worst = round(mean(worstcase_prop), digits = 2),
avg_best = round(mean(bestcase_prop), digits = 2)) %>%
distinct(avg_worst, avg_best)
# Define the annotations needed for the visual
annotation_location <- twelvemonths %>%
filter(date == max(floor_date(twelvemonths$date))) %>%
pivot_wider(names_from = type, values_from = visits) %>%
mutate(bestcase_prop = round(best.case/all.visits, digits = 2),
worstcase_prop = round(worst.case/all.visits, digits = 2)) %>%
select(date, bestcase_prop, worstcase_prop)
twelvemonths %>%
pivot_wider(names_from = type, values_from = visits) %>%
mutate(bestcase_prop = round(best.case/all.visits, digits = 2),
worstcase_prop = round(worst.case/all.visits, digits = 2)) %>%
mutate(avg_worst = round(mean(worstcase_prop), digits = 2),
avg_best = round(mean(bestcase_prop), digits = 2)) %>%
select(date, bestcase_prop, worstcase_prop, avg_worst, avg_best) %>%
pivot_longer(cols = 2:3) %>%
ggplot(aes(date, value, color = name)) +
geom_line() +
scale_color_manual(values = c('#F58220', '#009CAB')) +
annotate('text',
label= glue::glue('Worst Case'),
x = max(twelvemonths$date)-30,
y = annotation_location$worstcase_prop + .07,
color = '#009CAB',
fill = 'white') +
annotate('text',
label= glue::glue('Best Case'),
x = max(twelvemonths$date)-30,
y = annotation_location$bestcase_prop + .07,
color = '#F58220',
fill = 'white') +
tt$theme_lines +
theme(legend.position = 'none',
title = element_text(vjust = 1),
plot.title = element_text(face = 'plain', hjust = 0.0),
plot.subtitle = element_text(color = '#333333', vjust =5),
plot.caption = element_text(color = '#888888', face = 'italic', size = 8)) +
geom_vline(xintercept = as.Date('2020-11-04'), #this mark the vertical line when ITP was launched
color = 'light grey', linetype = 3) +
annotate('text',
label = 'Nov 5 Apple ITP',
angle = 90, x = as.Date('2020-10-30'),
y = .75, color = 'light grey') +
scale_y_continuous(labels = percent, limits = c(0, 1) ) +
scale_x_date(breaks = '2 months', date_labels = "%b '%y") +
labs(title = "Apple OS Traffic Has Been Increasing", #change the title
subtitle = glue::glue('{monthscount} Month ITP At Risk Traffic'), #change the subtitle
caption = glue::glue('Data Source: reportsuite *rsid*'))
This final visual takes the percentage of returning after 7 day visits before and after the date ITP was implemented on November 5th, 2020. It is used to illustrate of one of the impacts of ITP on reporting.
dr = c(as.Date('2020-05-01'), Sys.Date()-1)
all.prev12 <- aw_freeform_table(rsid = rsid,
date_range = dr,
dimensions = 'daterangemonth',
metrics = c('visits', return_cm),
prettynames = F) %>%
mutate(type = 'all.visits') %>%
dplyr::rename(visits7days = 3)
best.prev12 <- aw_freeform_table(rsid = rsid,
date_range = dr,
dimensions = 'daterangemonth',
metrics = c('visits', return_cm),
segmentId = best_seg,
prettynames = F) %>%
mutate(type = 'best.case') %>%
dplyr::rename(visits7days = 3)
worst.prev12 <- aw_freeform_table(rsid = rsid,
date_range = dr,
dimensions = 'daterangemonth',
metrics = c('visits', return_cm),
segmentId = worst_seg,
prettynames = F) %>%
mutate(type = 'worst.case') %>%
dplyr::rename(visits7days = 3)
prev12 <- rbind(best.prev12, worst.prev12, all.prev12)
prev12 <- prev12 %>%
mutate(date = lubridate::my(daterangemonth))
avg7dayreturns <- prev12 %>%
mutate(sinceitp = if_else(date > as.Date('2020-10-31'), 'After', 'Before'))
avg7dayreturns %>%
mutate(type = case_when(type == 'all.visits' ~ 'All Visits',
type == 'best.case' ~ 'Recent Apple OS',
type == 'worst.case' ~ 'All Apple OS')) %>%
group_by(sinceitp, type) %>%
summarise(avg7dayreturns = sum(visits7days, na.rm = T)/sum(visits, na.rm = T)) %>%
mutate(type = factor(type, levels = c('All Visits', 'All Apple OS', 'Recent Apple OS'))) %>%
mutate(sinceitp = factor(sinceitp, levels = c('Before', 'After'))) %>%
filter(type != 'Recent Apple OS') %>%
ggplot(aes(type, avg7dayreturns, fill = sinceitp)) +
geom_bar(stat = 'identity', position = position_dodge(width = .75 ), width = .7) +
geom_text(aes(label = percent(avg7dayreturns, accuracy = 1)), position = position_dodge(width = .75), vjust =1.3, color = '#efefef', size = 7) +
tt$theme_bar_nolines +
scale_y_continuous(expand = c(0, 0)) +
theme(axis.text.y = element_blank(), legend.position = c(1,1.1), legend.justification = c(1,1),
legend.background = element_blank(), plot.title = element_text(hjust = 0, vjust = -2),
plot.caption = element_text(face = 'italic', size = 6)) +
scale_fill_manual(values = c('#F58220', '#009CAB')) +
labs(title = "Average Post 7 Day Return Traffic Is Decreasing",
subtitle = 'Before and After Apple Implemented ITP Changes - Average Return Traffic',
caption = glue::glue('ITP Change: Nov. 5, 2020 \n Data Source: reportsuite *rsid*'))
Using this framework creates the images but most importantly, enables the analyst to quickly add in-line commentary and recommendations to the final deliverable.


@Starchainfund I see $ARRR in your portfolio and that makes me think you would be interested in $HUSH as well. We are built on similar tech with overlapping development teams; each coin with different technical choices. @MyHushTeam is older and I work on both actively http...


So you're attending a Stackato demo and you're learning all about PaaS. What better way to witness the power of Stackato than by playing bingo on Stackato with your fellow attendees? Check out this little multi-player HTML5 (JQuery Mobile powered) web app.
All you need is your phone and a couple of co-demo-watchers to share the fun with you. You probably don't want to let the demo presenter know you're playing so try to keep it quiet. At least at the beginning...
You all start the app together as the demo starts. Each of you will have a ramdomly fed card which contains a 5x5 grid filled with keywords. As the organizer says a keyword, click on it to highlight. Just like regular bingo, you win with either a full row or a full colunm in your grid. BUT, you've got to be the first and can't forget to stand up and yell STACKATO BINGO!, otherwise your win will be invalidated.
Go forth and check it out!


primary_features
¶
The value of the primary_features
argument must be a list of JSON objects
containing the following keys:
| Key | Value Type | Required | Description |
|---|---|---|---|
from_name |
string | yes | Name of a feature tensor in the dataset as specified in its manifest. |
to_name |
string | yes | Name of the feature tensor once loaded into the input pipeline. Must be one of the model’s input or output tensors defined in the model configuration. |
Note
Every model input must be satisfied by a primary or secondary feature, or an error will be raised.
Note
Every to_name
must be unique or an error will be raised.
Note
Any to_name
that is constructed and not used by the model will raise an error.


{% extends 'frameworks/bootstrap/main.html' %} {% block content %}
Fortunately we are on the job, and you can just return home!
Back


The Lean CLI is distributed as a Python package, so it requires pip
to be installed.
Because pip
is distributed as a part of Python you must install Python before you can install the CLI.
This page contains installation instructions for Anaconda, which is a Python distribution containing a lot of packages that are also available when running the LEAN engine. Having these packages installed locally makes it possible for your editor to provide autocomplete for them.
Please note that the Python distribution from the Microsoft Store is not supported.


FileModelInterface
interface FileModelInterface
Methods
Set file parent id
Get file parent id
No description
No description
No description
Get the ID of the form used to change this object information
Get the form instance used to change this object information
No description
No description
Get the Query instance for this object
Save the model object.
Delete the model object.
Get the model object ID
Set the current title
Get the current title
Set the chapo
Set the description
Set the postscriptum
Set the current locale
Details
at line 28
$this
setParentId(
int $parentId)
Set file parent id
at line 35
int
getParentId()
Get file parent id
at line 40
string
getFile()
at line 45
setFile(
string $file)
at line 50
FileModelParentInterface
getParentFileModel()
at line 57
BaseForm
getUpdateFormId()
Get the ID of the form used to change this object information
at line 66
BaseForm
getUpdateFormInstance(
Request $request)
Get the form instance used to change this object information
at line 70
string
getUploadDir()
at line 77
string
getRedirectionUrl()
at line 84
ModelCriteria
getQueryInstance()
Get the Query instance for this object
at line 91
mixed
save()
Save the model object.
at line 98
mixed
delete()
Delete the model object.
at line 105
int
getId()
Get the model object ID
at line 112
setTitle(
string $title)
Set the current title
at line 120
FileModelInterface
getTitle()
Get the current title
at line 128
FileModelInterface
setChapo(
string $chapo)
Set the chapo
at line 136
FileModelInterface
setDescription(
string $description)
Set the description
at line 144
FileModelInterface
setPostscriptum(
string $postscriptum)
Set the postscriptum
at line 152
FileModelInterface
setLocale(
string $locale)
Set the current locale


Weather Reports
Weather News
Next Storm Heading for West Coast
Tropical Storm Franklin Spreading Heavy Rain and Gusty Winds Across Mexico's Yucatan Peninsula; New Hurricane Watches Issued
Franklin is bringing heavy rain, coastal flooding, and strong winds to Mexico.
And it’s not over yet. Residents can most likely expect another five to seven days of hazy conditions, said Steven Apfel, a manager at the western region headquarters of the National Weather Service.
Continue reading the main story
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Continue reading the main story
“The wind flow is really weak, and you need the wind flow to help push the smoke out of the area,” he said. “We just don’t have any decent wind or strong storms coming in to scour out the smoke, so that’s why it’s hanging around.”
Seattleites, who spent the weekend lamenting how Mount Rainier has been completely shrouded in wildfire smoke, seemed able to think of just two good things resulting from the haze: easier sunset pictures and some relief from the heat wave, which pushed temperatures elsewhere in the Northwest over 105 degrees.
People complained of burning eyes, and some said the smoke had forced them to seek treatment for asthma and other breathing conditions. Recent Articles
Hurricane
Written by Tim Brookes
Republished from the pages of National Geographic magazine
One Saturday afternoon last summer, Carrie and Jason Guyette were married on an island on the Vermont side of Lake Champlain. The forecast had been good—partly cloudy, a west wind of 5 to 10 miles per hour—but the weather was even better. The sky was cloudless, the light falling across the lake in rays of silver and blue. "It was the perfect day for a wedding," recalls Suzanne LaBombard, the mother of the bride.
After the newlyweds kissed, the weather began to change. "The wind shifted round to the north and began to pick up," says Jason, "but it wasn't really anything to worry about." The bride and groom climbed into an open carriage for a tour of the island, but after a while the wind was strong enough for the bride to start worrying about her veil, and the driver about her horses. They turned back. "I could see the distinct edge of the front—it looked about two miles (three kilometers) south," says Jason. Recent Articles


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Stop attacking ECB, new board member tells fellow Germans
by Harry RobertsonIncoming European Central Bank (ECB) board member Isabel Schnabel has told her fellow German economists to dial back their attacks on the Eurozone’s central bank, saying they threaten the euro.
“Dear fellow German economists, if you are wondering what you can do for Europe: Please help to dispel the harmful & wrong narratives about the @ecb’s monetary policy, floating around in political and media circles,” Isabel Schnabel said on Twitter.
Read more: ECB: Record-low rates causing ‘excessive risk-taking’ in some sectors
She added that “well-founded criticism and warnings concerning @ecb policy are very important and need to be addressed”. Yet she said wrongheaded criticisms “threaten the euro more than many other things”.
Schnabel is due to replace fellow German Sabine Lautenschlaeger, who quit the ECB board in September following the Bank’s decision to cut interest rates further and to relaunch its giant money-printing programme.
Although no motives were ascribed to Lautenschlaeger, the departure highlighted divisions at the ECB’s highest level.
Many board members, often from northern European countries, have criticised the ECB’s policy of negative interest rates and bond-buying, saying they damage savers and keep alive “zombie” companies.
Earlier this year, German newspaper Bild portrayed former ECB president Mario Draghi as “Count Draghila”, a vampire sucking the country’s savers dry through very low interest rates.
Schnabel is seen as less of a “hawk” – someone who desires tighter monetary policy – than Lautenschlaeger and many of their German contemporaries.
Read more: Mario Draghi defends his record at final ECB meeting
This is likely to ease the job of new ECB president Christine Lagarde, who is tasked with bringing the board together after some recent public rifts.
Schnabel is yet to be confirmed as Germany’s new representative on the ECB board, but it is effectively a done deal as she is the only candidate to fill the vacancy.
(Image credit: Getty)


Class: c3.Sankey
| Defined in: | js/c3-graph.coffee |
| Inherits: | c3.Graph |
Overview
Directed graph Sankey visualization.
Provide a set of nodes and weighted links between them. Various configuration options are available
to adjust the layout algorithm. Add a node_label_options
with a text
property to add labels to the nodes.
The implementation is based on the D3 Sankey plugin. However, it has been extended with the following:
- User can define their own data structures for nodes and links.
- Does not modify the original dataset.
- Cycles / Back Edges are allowed.
- Animation of dynamic datasets.
- Nodes may have a value larger than incoming and outgoing links
- Configurable padding and node widths based on either pixels or percentages.
- Tweaked layout algorithm.
Direct Known Subclasses
Variables Summary
- version =
-
0.1
- type =
-
'sankey'
- data =
-
[]
[Array<>] Array of user-defined node objects
- links =
-
[]
[Array<>] Array of user-defined link objects
- key =
-
undefined
[Function] Accessor function to get the key for a node object
- value =
-
undefined
[Function] Accessor function to get the value for a node object. If not defined, then the maximum value of the input or output links of a node will be used.
- link_source =
-
undefined
[Function] Accessor function to get the key of the source node for a link. This defaults to using the
source
member of the link object. - link_target =
-
undefined
[Function] Accessor function to get the key of the target node for a link. This defaults to using the
target
member of the link object. - link_key =
-
undefined
[Function] Accessor function to get the key of a link. This defaults to combining the
link_source
andlink_target
accessors - link_value =
-
undefined
[Function] Accessor function to get the value of a link. This defaults to using the
value
member of the link object. - iterations =
-
32
[Number] Number of iterations to run the iterative layout algorithm.
- alpha =
-
0.99
[Number] An alpha factor to adjust the subsequent strength of each iteration. Smaller numbers will quiesce faster.
- node_padding =
-
'20%'
[Number, String] The vertical padding between nodes. This can be the number of pixels to attempt to use between each node. If there are too many nodes for the vertical space, then fewer may be used. It can also be a string that represents the percentage of the vertical space to use for padding divided among all of the nodes.
- node_width =
-
30
[Number, String] The horzontal width of each node. This may be a number of pixels for the node width or else a string which is the percentage of the horizontal space to use for nodes.
- align =
-
'both'
[String] The type of alignment to use for the nodes:
- both - Align nodes with no inputs on the left and no outputs on the right
- left - Align nodes with no inputs on the left
- link_path =
-
'curve'
[String] The type of path to use for links between nodes:
- curve - A curved path
- straight - A stright line
- link_path_curvature =
-
0.5
[Number] A number representing the curvature to use for curved link paths. Ranges from 0-1.
- nodes_options =
-
undefined
[c3.Selection.Options] Options for the svg:g layer of all nodes
- node_options =
-
undefined
[c3.Selection.Options] Options for the svg:g node elements
- rect_options =
-
undefined
[c3.Selection.Options] Options for the svg:rect node elements
- links_options =
-
undefined
[c3.Selection.Options] Options for the svg:g layer of all links
- link_options =
-
undefined
[c3.Selection.Options] Options for the svg:g link elements
- path_options =
-
undefined
[c3.Selection.Options] Options for the svg:path link elements
- node_label_options =
-
undefined
[c3.Selection.Options] Options for the svg:text node labels
- link_label_options =
-
undefined
[c3.Selection.Options] Options for the svg:text link labels
Variable inherited from c3.Graph
version type class options content_options anchor height width anchor_styles handlers
Instance Method Summary
- # (void) _init() Bound
- # (void) _size() Bound
- # (void) _update(origin) Bound
- # (void) _layout(origin, current_data, current_links, current_nodes) Bound
- # (void) _draw(origin) Bound
- # (void) _style(style_new) Bound
Inherited Method Summary
Methods inherited from
c3.Graph
#init #style #render #resize #redraw #restyle #_prep #_init #size #_size #update #_update #draw #_draw #_style
Instance Method Details
#
(void)
_init()
Bound
#
(void)
_size()
Bound
#
(void)
_update(origin)
Bound
#
(void)
_layout(origin, current_data, current_links, current_nodes)
Bound
#
(void)
_draw(origin)
Bound
#
(void)
_style(style_new)
Bound


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No disengagement before Normandy summit – head of national security committee
According to Zavitnevych, the General Staff reviewed other sections 400 km from the front line, but the country's leaders did not set any tasks.
Head of the Committee on National Security, Defense and Intelligence of the Verkhovna Rada of Ukraine Oleksandr Zavitnevych has said the disengagement of forces and weapons is not planned by the Joint Forces before the Normandy Four summit.
"What I know – disengagement took place in these three settlements [Stanytsia Luhanska, Zolote and Petrivske] and that's all," he said in an interview to the BBC's Ukrainian service when asked whether it is now possible to talk about the next stages of disengagement.
According to him, the General Staff reviewed other sections 400 km from the front line, but the country's leaders did not set any tasks.
"The order is clear – three settlements and then we are waiting for a meeting of our president in the Normandy format. The decision on disengagement will probably be made according to its results," Zavitnevych said.
As UNIAN reported earlier, the practical phase of the disengagement of troops and weapons of the Armed Forces of Ukraine and the occupying forces kicked off near the village of Petrivske in Donbas on November 9.
On November 12, Head of the Joint Forces Operation HQ press center Andriy Ageyev said the first stage of the disengagement of forces and weapons at the "Bohdanivka-Petrivske" site in Donbas had been completed.
Ageyev said the practical phase of landmine clearance started on November 13, noting the process was simultaneous as Russian-led forces were also carrying out a demining operation.


Choose which LESS files to compile into your custom build of Bootstrap. Not sure which files to use? Read through the CSSand Componentspages in the docs
Based on Bootstrap v3.0.0 Customize Page licensed under Apache License v2.0All Components will be compiled into a readable bootstrap.css
,bootstrap-theme.css
and a minified bootstrap.min.css
,bootstrap-theme.min.css
in addition there will be variables.less
. We recommend you use the minified version in production.
bootstrap-theme.css
contains gradients stylesheets to be combined with bootstrap.css
All checked components (i.e button) will be compiled into a readable bootstrap_[component].css
.


Polyfill status:
Thread A:
0
Thread B:
0
Thread C:
0
Thread D:
0
Thread E:
0
Thread F:
0
Onload #:
0
JSThread on Github


This map shows the layout of Bearathlon 2022 at the Berkeley marina. The course is the similar to the 2019 course.
The swim start and finish are located at the Windsurf Launch dock. Transition and the finish line are both close by.
Please be mindful that all areas and paths between areas, with the exception of transition and the finish line, have not been roped off to the public. Please do not leave personal belongings completely unattended.
Parking at the marina is limited so we will have a limited amount of paid parking available at transition in the South Cove East parking lot. Free parking is available in aquatic park which is less than a half mile walk away.


{{ template "header.html" . }}
You will see several screens during which you will first be requested for your PwC email<EMAIL_ADDRESS>and later for your PwC GUID and password.
{{ end }}


Channel 4 smuggles people into UK by car, lorry and motorhome - and they all get in
The documentary highlights how easy it was for participants to cross various borders and enter the United Kingdom without detection
by Kara O'NeillAs the UK prepares to ‘take back control’ of its borders and end freedom of movement for EU citizens, Channel 4 has commissioned a new two-part series exploring how effective Britain’s border security really is.
The security of the UK’s frontiers is a major political concern, but very little is known by the public about how easy it really is to clandestinely enter Britain.
Smuggled sees several ordinary British citizens attempt to smuggle themselves from a variety of locations around continental Europe back into Britain without using their passport, evading Border Force authorities altogether.
From boats to lorries, ferries to car boots - all of the contributors attempt routes that have been used by those seeking to enter the country clandestinely or by people traffickers and drug dealers.
In the programme, one couple, grandparents Carolynne, 62, and David, 66, become people-smugglers - their goal being to sneak Carolynne into the UK from France in the back of their motorhome.
Attempting to commit crime doesn't come naturally to the pair.
Carolynne, who worked for 35 years in the NHS as a trauma nurse, said: "We come from a generation that respects authority.
"Growing up, we did as we were told."
As she crawls into a compartment in the back of the campervan without her passport on her, Carolynne is sure she'll get discovered on the journey from Caen in France to Portsmouth - via ferry.
But incredibly, the couple sail through the border checks without so much as a hint of trouble.
Carolynne said: "I want this country to be as safe as possible. As a grandmother of four, I want to be sure everyone coming here is known.
"I want to be reassured that our borders are safe.
"In fact, I found it was disconcertingly easy to get through with only the most cursory of checks. I wanted to be found.
"I wanted to discover that immigration officials were doing their job. I'd have been proud to spend some time in detention if it proved our borders were being policed."
David added: "I set out feeling pretty confident someone would stop us. But as we got farther along, I began to think our borders aren't as secure as we think. I was shocked at how easy it was."
Another participant in the show, journalist Khurram, from Yorkshire, attempted to get into the UK from Holland using a passport borrowed from a friend.
But despite Khurram bearing no resemblance to the man in the photograph, he is waved through at Amsterdam and Newcastle without a second look.
Khurram, who was travelling with two passengers with legitimate passport said he could "feel the intensity of my heartbeat increase" as a police office approached the vehicle.
But the group is only asked whether they are carrying "weapons, drugs or alcohol," to which the can truthfully reply, "no".
Another participant, Asher, 25, tries a more hazardous route - crossing the Channel in a rubber dinghy.
The eight hour, 70 mile round trip is rough, despite Asher being an experienced sailing, kayaking and powerboat instructor.
He said: "To be crossing the Channel in this inflatable dinghy, even with small waves, is nuts."
Five hours in, Asher seen 35 miles into his trip, frantically bailing water out of the dinghy.
He said later: "The boat almost sank.
"The waves were so big. In open sea, it's impossible not to be terrified. I was frightened pretty much all the journey. It's one of the most dangerous ways of crossing the Channel.
He added: "I've seen videos of the boats people-traffickers use.
"They are meant to carry four or five people but they cram in up to 25 and they're only just sitting on top of the water. They're so exposed.
"If you're not experienced and don't know what you're doing, then God speed."
Asher is sympathetic to the plight of those people travelling to the UK in search of a better life.
His own grandma, 80, a retired cancer nurse, came over from Jamaica on the Windrush in the 1950s.
He said: "We are the lucky ones in a rich country with so many benefits. Border Force is doing its best, but how on earth are you going to stop every yacht, dinghy or powerboat crossing the Channel?"
Alim, a hip hop artist from Sierra Leone, who has lived in Britain since he was eight, also had an easy passage, simply hiding under a blanket in lorry driver, Tony's cab.
News of the documentary comes just over a week after 39 people from Vietnam, believed to have been smuggled into the UK, were found dead in a refrigerated lorry trailer in Essex.
Due to the nature of illegal migration, the Office for National Statistics says that it is not possible to accurately predict the number of people who enter the country illegally.
The series is an unprecedented national security experiment: no one has ever tested our borders on this scale, with such a large variety of methods.
Alf Lawrie, Head of Factual Entertainment at Channel 4 said, “This dramatic series has real purpose at its heart. Extreme, authentic, and utterly timely, it is a stand-out experiment that we hope will inform the national conversation.”
Ed Kellie, Executive Producer and Founder of ScreenDog added, “Our borders fuel fiery debate, but little is known about how secure they really are. The best way to truly find out is to try to break through.”
Smuggled starts on Monday at 9pm on Channel 4.


Survey Form | Gelso Designs
Fashion Survey
Fashion trends and consumer behavior survey
Please fill out the form below.
* Gender
Female
Male
* Name
* Email
* Age
* How much do you spend for clothing per month?
$0 - $50
$50 - $100
$100 - $250
$250 - $500
$500 +
* Which type of clothing do you buy most often?
T-shirts, sweaters, sweatshirts
Trousers, shorts, skirts
Underwear
Jackets, coats
Boots, shoes, footwear
* Where do you shop for clothes? (Please list your top 5 stores)


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In the text field, specify the heap size required for the build process.
(
If you are using a 64-bit JDK for compilation, the build process may require more memory.
The value is stored with the project settings. If you need to override this value, then in the field User-local build process VM options write Xmx<N>m, where <N> is the
heap size value in megabytes.
As soon as this value is recognized in the field User-local build process VM options, the field Build process heap size
becomes read-only and is ignored.


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Table 1
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The number of annual electrical equipment accidents caused b ... |
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Table 2
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The number of annual electrical equipment accidents caused b ... |
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Table 3
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The number of annual electrical equipment accidents caused b ... |
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Table 4
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The number of electrical fires by metropolitan city and city ... |
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Table 5
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The risk rating scale for electrical fires by cause. |
|
Table 6
|
The risk rating for electrical fires by region. |
|
Table 7
|
The risk rating scale for electrical equipment. |
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Table 8
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The number of accidents and risk rating for low voltage equi ... |
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Table 9
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The number of accidents and risk rating for high voltage equ ... |
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Table 10
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The number of accidents and risk rating for ignition equipme ... |


{% extends "base/base.html" %} {% load staticfiles %} {% block content %}
Pnyx is a user-friendly yet powerful application that supports the whole process of collective decision making (from setting up a poll/election to eliciting individual preferences to aggregating them in a reasonable way to the communication of outcomes to participants). Pnyx is based on insights that have been generated in social choice theory, but does not expect the user to possess any knowledge about the underlying aggregation rules.
Pnyx polls have several functional features to suit a variety of different use case scenarios while not overwhelming the user with too many customization options.
Name: The name of the poll. It is used mostly for poll management purposes.
Question: The main question to be resolved with the poll. It is visible on the ballot.
Description: A description of the poll. It is visible on the ballot.
Public poll: The poll is visible to anyone with knowledge of its unique URL. Any visitor can vote and see the results.
Private poll: The poll is visible only to invited participants. Each participant receives a unique link for his own ballot and can only cast one vote. In addition to invited participants the poll admin can see the results, too.
Change vote: For private polls this attribute allows the participants to change their votes before the closing time of the poll. By default each participant can cast his vote only once.
Temporary results: If enabled, it allows all participants to see temporary results at any time (even before the poll ends).
Opening time: The opening time of the poll. No one will be able to cast a vote before this time.
Closing time: The closing time of the poll. No one will be able to cast a vote after this time. The final results are accessible only after the closing time has passed.
Periodic poll: If set, the poll will be re-run regularly without the need to explicitly recreate it. Unless participants change their votes, their previous votes will be considered as still valid. Therefore, this feature mostly makes sense for private polls where the voters can change their votes over time.
Period: Periodicity of the poll. If the period of the poll is set to x days, the poll will be repeated every x days.
Pnyx supports a range of different preferences to be elicited from the voters as well as different output formats (see the full descriptions for more details). Based on these choices a suitable aggregation method will be chosen by Pnyx (see the aggregation rules).
Alternative: Each poll has to specify a set of feasible alternatives. Each alternative is specified by its name and an optional description.
Tie breaking rule: If required, tie breaking is performed by Pnyx according to a specified order over the alternatives. It can be defined randomly or manually by the poll creator. This tie breaking is used for every choice rule except Nash's rule, Maximal lotteries and Kemeny's rule. For Nash's rule and Kemeny's rule the tie breaking is performed during the computation by the LP solver. For maximal lotteries, the barycenter of the space of all maximal lotteries is approximated.
For private polls, each participant is invited via email from Pnyx. For public polls, this is optional (alternatively the poll creator can share the public link to the poll). Pnyx furthermore provides a built-in interface for the poll admin to send emails to all participants at any time.
Most preferred alternative: The voter can only select a unique most-preferred alternative among all candidates. Due to the severe restrictedness of this type of input, it is recommended to at least allow voters to approve an arbitrary number of alternatives (see below).
Approved alternatives: The voter may approve an arbitrary number of alternatives and automatically disapproves the remaining ones. There is no distinction between alternatives within the set of approved or non-approved alternatives, respectively. Such preferences are sometimes called dichotomous preferences.
Rankings without ties: Each voter has to rank all alternatives and the ballot may not contain ties between alternatives. Such preferences are sometimes called strict total orders or linear preferences.
Rankings with ties: This input format is a generalization of "rankings without ties" where now ties between alternatives are allowed. Such preferences are sometimes called complete preorders or bucket preferences.
Pairwise comparisons: This is the most general form of preferences supported by Pnyx. The voter may specify each individual pairwise comparison among alternatives. By default, indifference between any pair is assumed. Note that transitivity of the preferences is no longer required.
Unique winner: The result of the poll is a unique best alternative.
Lottery: The result of the poll is represented by a probability distribution over the alternatives. This output format allows for particularly nice aggregation rules with good theoretical properties. Note that it is also a suitable format when a divisible resource should be allocated/shared (e.g., a meeting room), where then the probabilities stand for shares of the resource.
Rankings without ties: The collective preferences are provided in the form of a complete ranking of all alternative without ties. This can also be interpreted as a collective order of preference over the alternatives.
After the successful collection of preferences of all voters, the preferences are aggregated into a single collective preference of the group. For this an aggregation rule depending on the desired input & output types is applied.
Since Pnyx aims to keep things simple for the user, the aggregation rules to be used have been preselected based on scientific insights.
The following table gives an overview of the implemented aggregation rules and for which combination of input and output which rule is applied.
| Most preferred alternative | Approved alternatives | Rankings without ties | Rankings with ties | Pairwise comparisons | |
|---|---|---|---|---|---|
| Unique winner | Borda’s rule (= plurality winner) |
Borda’s rule (= approval winner) |
Borda's rule | ||
| Lottery | Fishburn's rule (= plurality lottery) |
Fishburn's rule (= approval lottery) |
Fishburn's rule | ||
| Ranking without ties | Kemeny's rule (= plurality ranking) |
Kemeny's rule (= approval ranking) |
Kemeny's rule |
Borda's rule: Borda’s rule is a simple scoring rule that is particularly intuitive when preferences are rankings without ties [3]: each alternative receives from 0 to m - 1 points from each voter (depending on the position the alternative is ranked in), where m is the total number of alternatives. The alternative with the highest accumulated score wins. For more general cases, we consider a natural extension of Borda’s rule to arbitrary binary relations where the score each voter assigned to alternative x is the number of alternatives that x is preferred to minus the number of alternatives that are preferred to x. (see also Wikipedia)
Fishburn's rule: The rule that we call Fishburn’s rule was first considered by Kreweras [7] and independently rediscovered and studied in much more detail by Fishburn [5]. The rule returns a so-called maximal lottery, i.e., a lottery over the alternatives that is weakly preferred to any other lottery. Maximal lotteries are equivalent to mixed maximin strategies (or Nash equilibria) of the symmetric zero-sum game given by the pairwise majority margins, which allows us to use linear programming for their computation (see, e.g., Algorithm 1 by Brandt and Fischer [2]). For more details, we refer to Brandl et al. [1]. (see also Wikipedia)
Kemeny's rule: Kemeny’s rule [6] is an aggregation rule that returns a ranking of the alternatives that maximizes pairwise agreement, i.e., a ranking in which as many pairwise comparisons as possible coincide with the preferences of the voters. Alternatively, Kemeny’s rule can be characterized using maximum likelihood estimation [8] or a consistency property for electorates of variable size [9]. We implemented the NP-hard problem of finding a Kemeny ranking via integer programming (following a formulation of Conitzer et al. [4]). (see also Wikipedia)
Plurality scores: The plurality score of an alternative simply denotes the number of votes (recall that in this column each voter may only vote for a single alternative) an alternative receives. (see also Wikipedia)
Approval voting scores: Each voter may "approve" (i.e., select) as many alternatives as desired. The approval score of an alternative then is the cumulative number of approval votes it receives. (see also Wikipedia)
References:
[1] F. Brandl, F. Brandt, and H. G. Seedig. Consistent probabilistic social choice. 2015. Working paper.
[2] F. Brandt and F. Fischer. Computing the minimal covering set. Mathematical Social Sciences, 56(2):254–268, 2008.
[3] C. de Borda. Memoire sur les Elections au Scrutin. Histoire de l’Academie Royale des Sciences, 1784.
[4] V. Conitzer, A. Davenport, and J. Kalagnanam. Improved bounds for computing Kemeny rankings. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI), pages 620–627. AAAI Press, 2006.
[5] P. C. Fishburn. Probabilistic social choice based on simple voting comparisons. Review of Economic Studies, 51(4):683–692, 1984.
[6] J. G. Kemeny. Mathematics without numbers. Daedalus, 88:577–591, 1959.
[7] G. Kreweras. Aggregation of preference orderings. In Mathematics and Social Sciences I: Proceedings of the seminars of Menthon-Saint-Bernard, France (1–27 July 1960) and of Gösing, Austria (3–27 July 1962), pages 73–79, 1965.
[8] H. P. Young. Optimal voting rules. Journal of Economic Perspectives, 9(1):51–64, 1995.
[9] H. P. Young and A. Levenglick. A consistent extension of Condorcet’s election principle. SIAM Journal on Applied Mathematics, 35(2):285–300, 1978.
Pnyx will be demonstrated at AAMAS 2015 in Istanbul and there is a short demonstration paper to be found here (draft).
This project is run by the chair for Decision Sciences & Systems at Technische Universität München:


Prakhar Gupta — software developer.
Currently writing bugs to empty files. Creating cross-platform bugs and security holes faster than ever before. Located in the beautiful city of New Delhi, India .
Applications
-
Hex Time — A Simple Android Application.


Methods summary
public static
|
#
register( string $name, Closure $resolver, boolean $singleton = false )
Register an object and its resolver.
Register an object and its resolver.
Parameters
- $name
string
- $resolver
Closure
- $singleton
boolean
|
public static
boolean
|
#
registered( string $name )
Determine if an object has been registered in the container.
Determine if an object has been registered in the container.
Parameters
Returns
boolean
|
public static
|
#
singleton( string $name, Closure $resolver )
Register an object as a singleton.
Register an object as a singleton.
Singletons will only be instantiated the first time they are resolved.
Parameters
|
public static
|
#
instance( string $name, mixed $instance )
Register an existing instance as a singleton.
Register an existing instance as a singleton.
IoC::instance('mailer', new Mailer);
Parameters
- $name
string
- $instance
mixed
|
public static
|
#
controller( string $name, Closure $resolver )
Register a controller with the IoC container.
Register a controller with the IoC container.
Parameters
|
public static
mixed
|
#
core( string $name, array $parameters = array() )
Resolve a core Laravel class from the container.
Resolve a core Laravel class from the container.
$input = IoC::core('router');
$input = IoC::resolve('laravel.router');
Parameters
- $name
string
- $parameters
array
Returns
mixed
|
public static
mixed
|
#
resolve( string $name, array $parameters = array() )
Resolve an object instance from the container.
Resolve an object instance from the container.
$mailer = IoC::resolve('mailer');
$mailer = IoC::resolve('mailer', array('test'));
Parameters
- $name
string
- $parameters
array
Returns
mixed
|


In this project, three methods (SMST, LMST, ZMST), which are proposed in this paper New Algorithms for the Rectilinear Steiner Tree Problem, are implemented. The implementation was selected for the 2012-2013 Summer Programming Course as a base algorithm for a Qt5 GUI project.


Creates a node network to extract twist rotation of a transform to drive another transform.
The network calculates the local rotation twist offset around a specified twist axis relative to the local rest orientation. This allows users to specify how much twist they want to propagate to another transform. Uses include driving an upper arm twist joint from the shoulder and driving forearm twist joints from the wrist.
Since the network uses quaternions, partial twist values between 0.0 and 1.0 will see a flip when the driver transform rotates past 180 degrees.
The twist decomposition network can be accessed in the cmt menu:
CMT > Rigging > Connect Twist Joint
Twist child of shoulder:
shoulder
|- twist_joint1
|- twist_joint2
|- elbow
create_twist_decomposition(shoulder, twist_joint1, invert=True)
create_twist_decomposition(shoulder, twist_joint2, invert=True, twist_weight=0.5)
Twist forearm from wrist:
elbow
|- twist_joint1
|- twist_joint2
|- wrist
create_twist_decomposition(wrist, twist_joint1, invert=False, twist_weight=0.5)
create_twist_decomposition(wrist, twist_joint2, invert=False)
cmt.rig.twistdecomposition.
create_twist_decomposition
(driver, driven, invert, twist_weight=1.0, twist_axis=None)[source]¶Create a node network to drive a transforms rotation from the decomposed twist of another transform.
| Parameters: |
|
|---|


Fron nmap I have 3 ports open. 22,80,443. On port 80 I get nginx default page, doing directory bruteforcing leads to nowhere.
I look at port 443 and get a hostname docker.registry.htb. This shows a blank page. By doing directory bruteforcing I get a directory
/v2/. I go on that directory and I am presented with basic auth. Guessing admin/admin I am inside. This seems like a json thing.
I try to search about docker registry. And I find a post about this: https://www.notsosecure.com/anatomy-of-a-hack-docker-registry/.
I do this and download all the blobs. Extract them and Find inside one of them. A private ssh key. On the other one, I find the ssh private key password.
Upon entering the box, I see that I am logged in as bolt
. Inside /var/www/html directory I see a web app named bolt
.
I get the administrator password from this by going to database folder, and then copying the .db file. After opening it with
sqlviewer and then getting the hash. I crack the hash, and enter the webapp.
I have the file manager and I can upload .php files but I cannot rename the file. I goto main configuration file, and then
add the php extension as allowed. And fast I upload the php file, because these configurations get deleted very fast. Then I upload
nc64 so I can bind a shell to the box, via the php file I uploaded. After I get into the box as www-data
As root I can run restic backups as root. The misconfig here is the rest*. So I spin a https://github.com/restic/rest-server on my local box. Then add a new repo, and give a password. On the box then I backup the /root folder on my localmachine, so I get the root and the root ssh private key.
Take aways: Never give other users the ability to run restic commands as sudo.Be carefull with docker registry.


Add a website:
Remove a website (exact name required):
List of current websites
{% for website in websites%}
{{website}}
{% endfor %}
{% if started %} {{started}} {% endif %}


Play / Pause
Space
Participant Done / Finish Daily
Enter
Play Daily
Pause Daily
Reset Daily
Participant Done!
Current Participant
{{currentParticipant}}
{{minutesParticipant}}
:
{{secondsParticipant}}
Daily Finished!
00:00
Participants List
{{$index + 1}} {{people.name}}
×
{{modalTitle}}
Participants List
{{$index + 1}} {{people.name}}
Minutes Limit Per Person
Play Sounds?
{{modalTitle}}
{{messageContainer}}
Ok


In this prompt Moose's eyeline should have drawn your attention to right above his head. The use of leading lines helps to show you the bone was in the green bush!
Along with the leading lines technique, the messiness of the pile of leaves in contrast with the simplicity of the green bush should have impacted your decision.


This page tracks the new paper links made to my list of Pacific Graphics 2011 papers.
Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
April 24, 2013
- Authoring Hierarchical Road Networks
October 12, 2011
- Exposure Fusion for Time-Of-Flight Imaging
October 1, 2011
- Intelligent GPGPU Classification in Volume Visualization: A framework based on Error-Correcting Output Codes
- Computing 3D Shape Guarding and Star Decomposition
- RepSnapping: Efficient Image Cutout for Repeated Scene Elements
September 7, 2011
- Efficient Opacity Specification Based on Feature Visibilities in Direct Volume Rendering
September 6, 2011
- HeatWalk: Robust Salient Segmentation of Non-rigid Shapes
- RepSnapping: Efficient Image Cutout for Repeated Scene Elements
September 5, 2011
- River Networks for Instant Procedural Planets
(
)
(
)
August 22, 2011
- Rephotography Using Image Collections
- Exposure Fusion for Time-Of-Flight Imaging
- Computing 3D Shape Guarding and Star Decomposition
August 15, 2011
- Bipartite Polar Classification for Surface Reconstruction
- Toward Optimal Space Partitioning for Unbiased, Adaptive Free Path Sampling of Inhomogeneous Participating Media
- Creating Fluid Animation from a Single Image using Video Database
- A Graph-based Approach to Continuous Line Illustrations with Variable Levels of Detail
- Interactive Indirect Illumination Using Voxel Cone Tracing
August 13, 2011
- Optimized Topological Surgery for Unfolding 3D Meshes
August 3, 2011
- Improving Performance and Accuracy of Local PCA
- Flexible Splicing of Upper-Body Motion Spaces on Locomotion
- Asynchronous Evolution for Fully-Implicit and Semi-Implicit Time Integration
- SSD: Smooth Signed Distance Surface Reconstruction
- Authoring Hierarchical Road Networks
- River Networks for Instant Procedural Planets
August 2, 2011
- Bipartite Polar Classification for Surface Reconstruction
- Toward Optimal Space Partitioning for Unbiased, Adaptive Free Path Sampling of Inhomogeneous Participating Media
- Motion Deblurring from a Single Image using Circular Sensor Motion
- Rephotography Using Image Collections
- Computing 3D Shape Guarding and Star Decomposition
- A Single Image Representation Model for Efficient Stereoscopic Image Creation
- An Illustrative Visualization Framework for 3D Vector Fields
- Discriminative Sketch-based 3D Model Retrieval via Robust Shape Matching
- Creating Fluid Animation from a Single Image using Video Database
- Virtual City Map Generation using Area Subdivision
- Page published
kesen.huang@gmail.com


!! GUDDU JEWELLERS !!
!! We Serves You The Great & Pure Jewelleries !!
Chains
Rings
Necklaces
Earrings
Bracelets
Bangles
Gold
Diamond
Pearl
White Gold
Gemstone
Platinum


Top up
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Card Number:
Payment Amount:
Submit
Add a Vehicle
×
Vehicle ID:
Blue Tooth Address:
Vehicle Type:
Submit
PIMS
The Parking lot Management System
Know About Us
Fuzhou Wang
The developer for the web application
Hongjie Yuan
hello hello hello hello hello hello hello hello hello hello hello hello
Lea Tong
In charge of the UI of desktop application
Tao Xu
M5 stick/stack developer
Yinan Yang
In charge of the UI of desktop application
Zhen Zhang
Develop the core controller for desktop application
Username:
--
Balance:
--
Top Up Now!
Vehicles you have:
Add a vehicle!!


{% load cards_extras %} {% for roi,companies in by_roi.items %}
| {{ roi }} | |||||
|---|---|---|---|---|---|
| {{ company }} | |||||
| {{ dept }} | |||||
| {{ job.name }} | Created: {{ job.created_date|date:"M d, Y" }} | Invoiced: {{ job.invoice_date|date:"M d, Y"}} | {{ job.price|currency }} | ||
| Total Revenue for {{ dept }}: | {{ values.revenue|currency }} | ||||
| Total Revenue for {{ company }}: | {{ info.c_rev|currency }} | ||||
| Total Revenue for {{ roi }}: | {{ total_rev|lookup:roi|currency }} |


"x" "1" "SAEKI,K, KAMIYA,M, SENGOKU,Y, TAKAHASHI,K AND KAWAZOE,Y, MUTAGENICITYOF FLUORINE-SUBSTITUTED AMINOQUINOLINES, HEN'IGENSEI SHIKEN 2(4):234-238,1993"


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Bill Text
Bill Agenda
Average user rating
4.3
/ 5
Rating breakdown
5
80% Complete (danger)
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Comments
afsg77
January 29, 2019
1 day ago
This still a beta to get feedback
This functionality is not yet available but we are working to have it as fast as possible.
afsg77
January 29, 2019
1 day ago
Please hurry!!!!
I want to comment!!!
afsg77
January 29, 2019
1 day ago
A generic comment tittle
Another generic comment text.


{% extends "errors/404/base.html" %}
{% load i18n %}
{# visiting a slug or subdomain that doesn't match a project #}
{% block 404_error_message %}
{% blocktrans trimmed with domain=domain|default:_("no domain") %}
The project for {{ domain }} that you are looking for either does not exist, has been deleted or doesn't have any successful builds yet.
{% endblocktrans %}
{% include "errors/404/include_search.html" %}
{% endblock %}


| GTK+ 2.0 Tutorial using Ocaml | ||
|---|---|---|
| <<< Previous | Next >>> |
You create a widget by
[Module].[widget name] options ... () |
Many optional arguments are admitted. The last two of them, packing: and show:, allow you respectively to call a function on your newly created widget, and to decide wether to show it immediately or not. By default all widgets except toplevel windows (GWindow module) are shown immediately.
For many constructor or method arguments, default values are provided. Generally, this default value is defined by GTK, and you must refer to GTK's documentation.
For ML defined defaults, usually default values are either false, 0, None or `NONE, according to the expected type.
Important exceptions are ~show, which default to true in all widgets except those in GWindow, and ~fill, which defaults to true or `BOTH.
| <<< Previous | Home | Next >>> |
| Structure of Widgets | Memory Management |


You will being to realise why this exeercise is called the Dickens Pattern with
reference to the ghost
showing scrooge some different futures.
You will being to realise why this exeercise is called the
Dickens Pattern with reference to the ghost
showing scrooge
some different futures.You will being to realise why this exeercise
is called the
Dickens
Pattern with reference to the ghost
showing scrooge
some different futures.
You will being to realise why this exeercise is called the Dickens Pattern with
reference to the ghost
showing scrooge some different futures.
It is not because things are differnet that we do not dare.It is because we do not dare that they are difficult.
It is not because things are differnet that we do not dare.It is because we do not dare that they are difficult.
It is not because things are differnet that we do not dare.It is because we do not dare that they are difficult.
It is not because things are differnet that we do not dare.It is because we do not dare that they are difficult.
It is not because things are differnet that we do not dare.It is because we do not dare that they are difficult.
It is not because things are differnet that we do not dare.It is because we do not dare that they are difficult.
Projects completed
Happy clients
Awards won
Years of service
Who are in love with eco friendly system.
2d Vinyl Design
Vector
2d Vinyl Design
Vector
2d Vinyl Design
Vector
2d Vinyl Design
Vector
2d Vinyl Design
Vector
2d Vinyl Design
Vector
You will being to realise why this exeercise is called the Dickens Pattern with
reference to the ghost
showing scrooge some different futures.
It is not because things are differnet that we do not dare.
You will being to realise why this exeercise is called the Dickens Pattern with
reference to the
ghost
showing scrooge some different futures.
You will being to realise why this exeercise is called the Dickens Pattern with
reference to the
ghost
showing scrooge some different futures.
You will being to realise why this exeercise is called the Dickens Pattern with
reference to the
ghost
showing scrooge some different futures.
You will being to realise why this exeercise is called the Dickens Pattern with
reference to the
ghost
showing scrooge some different futures.
When someone dose something that they know that they shouldn't do,did they.
For the individuals
secure online transfer
unlimited style for Interface
reliable customer service
For the individuals
secure online transfer
unlimited style for Interface
reliable customer service
For the individuals
secure online transfer
unlimited style for Interface
reliable customer service
For the individuals
secure online transfer
unlimited style for Interface
reliable customer service
You will being to realise why this exeercise is called the Dickens Pattern with
reference to the ghost
showing scrooge some different futures.
Mark Viens 13 Dec
Mark Viens 13 Dec
Mark Viens 13 Dec
stay updated with our latest trends.


EXTENSION of Submission Deadline |
27 November 2016 |
| Submission Deadline | 13 November 2016 |
| Notification of acceptance | 29 January 2017 |
| Camera ready papers | 19 February 2017 |
| Early registration | 7 March 2017 |
| Early registration ends | 7 April 2017 |
| Whorkshop | 24 May 2017 |
| Conference | 25-26 Mayo 2017 |


Finish configuring your app
Your app is deployed, but you need to finish configuring it to get it working. Click the button below to automatically run the following deployment steps:
- Deploy a Twilio Studio Flow to power your Vaccine Standby List SMS chatbot
- Link your Twilio phone number () with Studio Flow
✓ Your Studio Flow is deployed
You can move on to test your vaccine standby list below or click the button to make changes to your Studio Flow.
To start, edit the message body of the Welcome and Goodbye widgets to substitute your organization's name into the chatbot.
Test your Standby List
You can try out your Standby List by sending a text message to . If your account is in trial mode, you will need to send the SMS from verified phone numbers.
To protect sensitive data, a password is required to see responses. This was the admin password you set when launching your app. Or it can be found in the .env
file in the root of your application.
✓ Authenticated successfully
As the chatbot is completed, you should see records recorded below, pulled from Studio Flow execution logs from the last 30 days (max 100 records):
| Name | Phone Number | Age | Zip Code | Essential Worker | Work from Home | Long Term Care | Congregate Setting | Health Condition | Notification Preference | Language Preference |
|---|---|---|---|---|---|---|---|---|---|---|
| No records yet. Send a text message to to begin. |
Next Steps
Getting the world vaccinated is no small feat. We're here to help. Get in touch if you would like support with any of the following on the path to a production deployment:
- Persisting this data into a database
- Adding other channels for registering for vaccine notifications like Voice, WhatsApp, and Web Chat
- Getting a Business Associate Addendums (BAA) in place with Twilio for HIPAA compliance
- Accessing implementation support from Twilio's trusted partners
Troubleshooting
-
If you aren't getting a response when texting your phone number, make sure that:
- If your account is in trial mode, you are sending the SMS from verified phone numbers.
- Your Twilio phone number's () Message Configuration is set to the "Vaccine Standby Intake" Studio Workflow.
-
If you aren't seeing responses show up in the table above, make sure that:
- The texter has fully completed the chatbot interaction. Responses are not added until the end (e.g. "You are now on the vaccine standby list").
- You see the execution logged here and the status of the execution is set to
ended
.


Of war and peace the truth just twists.
Its curfew-gull, it glides.
Upon four-legged forest-clouds
The cowboy angel rides
With his candle lit into the sun,
Though its glow is waxed in black –
All except when 'neath the trees of Eden.
The lamp-post stands with folded arms,
Its iron claws attached
To curbs 'neath holes where babies wail,
Though its shadow's metal badge
All and all can only fall
With a crashing, but meaningless blow
1.
No sound ever comes from the gates of Eden.
The savage soldier sticks his head in sand
And then complains
Unto the shoe-less hunter who's gone deaf,
But still remains
Upon the beach, where hound dogs bay
At ships with tattooed sails,
Heading for the gates of Eden.
With a time-rusted compass blade,
Aladdin and his lamp
Sits with Utopian hermit-monks
Sidesaddle on the Golden Calf.
And, on their promises of paradise,
You will not hear a laugh –
All except inside the gates of Eden.
Relationships of ownership,
They whisper in the wings
To those condemned to act accordingly
And wait for succeeding kings.
And I try to harmonize with songs
The lonesome sparrow sings.
There are no kings inside the gates of Eden.
The motorcycle, Black Madonna,
Two-wheeled, gypsy queen
And her silver-studded phantom cause
The gray-flannel dwarf to scream
As he weeps to wicked birds of prey,
Who pick up on his breadcrumb sins.
And there are no sins inside the gates of Eden.
The kingdoms of experience,
In the precious winds they rot
While paupers change possessions,
Each one wishing for what the other has got.
And the princess and the prince discuss
What's real and what is not.
It doesn't matter inside the gates of Eden.
The foreign sun, it squints upon
A bed that is never mine
As friends and other strangers
From their fates try to resign,
Leaving men wholly, totally free
To do anything they wish to do, but die.
And there are no trials inside the gates of Eden.
At dawn my lover comes to me
And tells me of her dreams
With no attempts to shovel the glimpse
Into the ditch of what each one means.
At times I think there are no words
But these to tell what's true.
And there are no truths outside the gates of Eden.
1
In Lyrics, these lines are transcribed: "The lamppost stands with folded arms, / Its iron claws attached / To curbs 'neath holes, where babies wail, / Though it shadows metal badge, / All and all, can only fall / With a crashing, but meaningless blow...". This sentence cannot be parsed as it is and the problem lies in the transcription, specifically the phrase, "[t]hough it shadows metal badge", which should include an s after "it". It perhaps makes sense then to interpret the s as the possessive clitic 's and, in turn, to parse "its shadow's metal badge" as the subject of the subordinate clause beginning with "[t]hough". For a fuller discussion of this verse, see Paul Williams's interpretation in his book Bob Dylan: Performing Artist 1986–1990 & Beyond, pg. 122.


Kevin Hart Sets Netflix Documentary Series 'Don't F--k This Up'
Six-part series examining comedian’s life in the period following his Oscars hosting controversy debuts Dec. 27
by Reid NakamuraKevin Hart is the subject of an upcoming Netflix documentary series “Don’t F–k This Up,” the comedian announced Tuesday.
Per Netflix, the six-part series “gives unprecedented access” into Hart’s life throughout the past year. “Tapping into the trials and tribulations of what it means to be a father, a partner, a role-model, and a business-man, Hart reflects on the events that have shaped his life, making him into the person he is today.”
Featuring interviews with Hart’s friends and family as well as archival footage from his early career, the documentary will cover Hart’s day-to-day life in the period following the fallout of his Oscars hosting controversy.
Also Read:
Hart was forced to step down from his position as host of the awards show late last year when anti-gay tweets and jokes from his past stand-up sets were resurfaced on social media. It was followed by a much-lambasted appearance on Ellen DeGeneres’ talk show in which the comedian refused to apologize again.
“Don’t F–k This Up” is produced by Hartbeat Productions, Lionsgate, Makemake, 3 Arts Entertainment, and Magical Elves.
Six of the Top 10 can thank Netflix for those nice paychecks they received for their comedy specials
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| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | package org.apache.commons.imaging.palette; | |
| 18 | ||
| 19 | enum ColorComponent { | |
| 20 | ALPHA { | |
| 21 | @Override | |
| 22 | public int argbComponent(final int argb) { | |
| 23 |
3
1. argbComponent : Replaced Shift Right with Shift Left → NO_COVERAGE 2. argbComponent : Replaced bitwise AND with OR → NO_COVERAGE 3. argbComponent : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return (argb >> 24) & 0xff; |
| 24 | } | |
| 25 | }, | |
| 26 | RED { | |
| 27 | @Override | |
| 28 | public int argbComponent(final int argb) { | |
| 29 |
3
1. argbComponent : Replaced Shift Right with Shift Left → KILLED 2. argbComponent : Replaced bitwise AND with OR → KILLED 3. argbComponent : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return (argb >> 16) & 0xff; |
| 30 | } | |
| 31 | }, | |
| 32 | GREEN { | |
| 33 | @Override | |
| 34 | public int argbComponent(final int argb) { | |
| 35 |
3
1. argbComponent : Replaced Shift Right with Shift Left → NO_COVERAGE 2. argbComponent : Replaced bitwise AND with OR → NO_COVERAGE 3. argbComponent : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return (argb >> 8) & 0xff; |
| 36 | } | |
| 37 | }, | |
| 38 | BLUE { | |
| 39 | @Override | |
| 40 | public int argbComponent(final int argb) { | |
| 41 |
2
1. argbComponent : replaced return of integer sized value with (x == 0 ? 1 : 0) → SURVIVED 2. argbComponent : Replaced bitwise AND with OR → KILLED |
return (argb & 0xff); |
| 42 | } | |
| 43 | }; | |
| 44 | | |
| 45 | public abstract int argbComponent(int argb); | |
| 46 | } | |
Mutations | ||
| 23 |
1.1 2.2 3.3 |
|
| 29 |
1.1 2.2 3.3 |
|
| 35 |
1.1 2.2 3.3 |
|
| 41 |
1.1 2.2 |


Snow to impact Wednesday morning commute, January cold to follow -Chris
by Chris ReeceMADISON, Wis. - An Alert Day is in the forecast for Wednesday morning.
An Alberta Clipper system will move across the northern tier of the United States, bringing yet another round of light snow to southern Wisconsin.
The snow will develop late Tuesday night and continue into Wednesday morning, with the heaviest snow between 3-9 a.m. Wednesday, right during the morning commute.
With temperatures in the mid 20s during this time, impacts to travel will be likely as morning commuters will face snow- and ice-covered roads.
Conditions begin to improve by the lunch hours, with mostly clear roads by the early afternoon.
As the snow comes to an end, it's possible for some light rain to mix in across the south.
This could be the case for places such as Janesville, Beloit and Monroe. The latest forecast models are bringing up to 4 inches of new snow to the area.
Stay up to date with the forecast as small changes in the track of the storm may impact snow amounts.
Another blast of cold air will arrive for the end of the week.
High temperatures will only be in the 20s with overnight lows falling to the teens.
A second arctic blast will arrive on Sunday, dropping temperatures even more for the start of next week.


Part IB Ethics
Virtue Ethics
Week 2: Nichomachean Ethics
Aristotle, Ross, W. D., and Brown, L. (2009). Nicomachean Ethics. Oxford University Press. Books 2 (Chapters 1–7) and 6 (Chapters 9–11).
Early Modern Moral Philosophy
Week 3 & 4: Rationalism and Sentimentalism
Gill, Michael. (2007). Moral Rationalism vs. Moral Sentimentalism: Is Morality More Like Math or Beauty, Philosophy Compass, 2(1): 16-30
Week 3: Rationalism
Schneewind, J. B. (2003). Moral Philosophy from Montaigne to Kant, chap. Gottfried Wilhelm Leibniz. Cambridge University Press.
Week 4: Sentimentalism
Schneewind, J. B. (2003). Moral Philosophy from Montaigne to Kant, chap. David Hume. Cambridge University Press.
Normative Powers
Week 5: Consent
Korsgaard, C. M. (1986). Kant’s Formula of Humanity. Kant-Studien, 77(2), 183-202.
Moral Psychology
Week 6: Practical Reason
Korsgaard, C. M. (1986). Skepticism about Practical Reason. The Journal of Philosophy, 83(1), 5–25.
Week 7: Moral Motivation
Velleman, J. D. (1992). The Guise of The Good. Noûs, 26(1), 3–26.


Available image compression codecs¶
Codecs are classes that can be easily integrated in enb experiments and allow you to compute all sorts of results. If you design compression experiments, you may want to compare you methods with others publicly available.
Using existing codecs¶
The plugins folder of the library contains enb-compatible implementations of image compressors (typically wrappers for binary compressors/decompressors).
Two use any of the available plugins, you need to:
Download a copy of the latest published plugin into your enb experiment folder.
(Sometimes) run make to build the plugin binaries for your platform.
Import and use the defined codec classes. See this script for a full example on how to do this.
Note
An automatization process is underway - expect this to become easier in the future.
Warning
For some of the codecs, only the enb wrapper is provided but not the compressor sources or binaries. This is due to IPR restrictions.
Image Codec availability¶
The following tables summarize the compression capabilities of many image codec families available in enb.
All codecs are tested for the following data types (available here:
Integer data:
Signed and unsigned.
Big endian and little endian.
Stored in 1, 2 or 4 bytes per sample (bytes_per_sample)
Exercising dynamic ranges of B bits, for B = 1, …, 8*bytes_per_sample.
Floating point data:
Stored in numpy’s f16, f32 and f64 format.
Exercising the whole range (excluding non finite values).
Note
Generated data samples are not meant to be representative of any type of data source, they just exercise the nominal dynamic range.
For each codec/data type combination, the following aspects are considered:
Whether the codec executes compress() and decompress() without raising any Exception. If it fails, it is labeled as ‘Not Available’
Whether the codec is able to reconstruct the original data without any loss.
Availability tables:
General availability (displayed below)
Warning
The following points are important to interpret these results:
An enb codec not being available does not mean that the underlying algorithm is not capable of handling a particular type of data.
Conversely, a codec working for a data type does not imply that the associated compression algorithm was created with that data type in mind.


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You may have typed the adress incorrectly or you may have used and outdated link.
Please review the address or perform a search.


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State
Job ID Number
Job Name
HPC Cluster
Requested Time
Requested Memory
Elapsed Time


This is a static HTML page. It's pretty boring since you can't manipulate it and so it will never change in appearance!
This is a more interesting page since you can interact with it: ExampleJspPage


CHAPTER 6K
KAHOOLAWE ISLAND RESERVE
Section
6K-1 Administration of chapter
6K-2 Definitions
6K-3 Reservation of uses
6K-4 Powers and duties
6K-4.5 Procurement; exemptions
6K-5 Commission
6K-6 Responsibilities and duties of the commission
6K-7 Fishing
6K-8 Penalty
6K-8.5 General administrative penalties
6K-8.6 Administrative violation system
6K-9 Transfer
6K-9.5 Kahoolawe rehabilitation trust fund
6K-10 Severability
Note
L 2014, c 218, §8 purports to amend this chapter.
Cross References
Conclusive presumptions; unexploded ordnance on Kahoolawe and in the ocean adjacent to Kahoolawe, see §662-18.
Environmental courts, jurisdiction over proceedings arising under this chapter, see §604A-2.
Case Notes
Administrative rules pertaining to entrance into the Kahoolawe island reserve did not: (1) abridge defendants' constitutional right to engage in traditional and customary Hawaiian practices; or (2) unconstitutionally burden defendants' right to practice their religion. 132 H. 36, 319 P.3d 1044 (2014).
Complaints filed by the State against defendants for the offense of entrance into the Kahoolawe island reserve dismissed without prejudice because the complaints did not allege the requisite state of mind of intentionally, knowingly, or recklessly. 132 H. 36, 319 P.3d 1044 (2014).
Where the defendants' purpose was to claim and manage, control, and subsequently occupy Kahoolawe, the defendants' intent to communicate through their presence on Kahoolawe could not be deemed "speech" for purposes of the First Amendment freedom of speech protections. 132 H. 36, 319 P.3d 1044 (2014).


Test HTMLMediaElement canPlayType() method for ogg media containers.
These tests may be expected to fail if the WebKit port does not support the format.


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Date (long date): {{ date | date:'longDate' }}
Date (medium date): {{ date | date:'mediumDate' }}
Date (short date): {{ date | date:'shortDate' }}
Date (Custom for '1/1/2017' format [yMd] ): {{ date | date:'yMd' }}