It all began in February 2012. An unlikely group was dumped into the middle of doomsday scenario and forced to team up to overthrow an international spy ring. While the spy adventure simulation was cool, Jared and Torie both lamented they were not next door on the 20000 leagues steam punk adventure. At which point they turned each other and said “Wait you know what Steam punk is?!?”
After that revelation and an evening of solving puzzles together, it was just a race to see who would ask the other one out first. Starting with their love of old technology they went to the Museum of Industry in Waltham, where they began to discover all the many things they had in common.
Torie asked Jared how much he liked fire on a scale from 1-10. When Jared answered “a bajillion”, they decided to extend their first date to include a performance from her school’s fire arts club, where she performs with a fire hoop.
From nerdy concerts to late nights of pool, they spent as much time together as possible. But eventually, Torie had to go. She had made plans, before the two of them had met, to travel to BYU for the summer. For their last date they went back to the simulation arcade for their long-awaited steam punk adventure.
They vowed to keep in touch but both agreed they should take a break. Fortunately for this story, their break lasted about as long as it takes to fly from New York to Salt Lake City.
Dozens of Skype calls and thousands of texts later, Jared finished school and flew out to Utah so they could embark on an epic California adventure. From Utah they took a romantic train-ride through the Sierra-Nevadas and on to the Horton Farm in Sacramento.
What started out as a light trip to California, turned into a chance to meet the family. Coincidentally, both extended families from all over ended up intersecting with their path as they meandered down the state, from Sacramento to San Diego. The family Jared still hadn’t met? Torie’s parents.
Back in Boston, Jared went through the arduous process of finding a job and Torie jumped headlong into a full semester. They somehow found time to keep their relationship a priority
and finally meet up with Torie’s Parents.
Their relationship grew and developed as the transient world around them brought new difficulties. They learned how to support each other and how to have fun doing it. Their valentines date consisted of making a cantilever for Torie’s problem set and neither of them can think of a more romantic day.
Through it all they knew there were doing something more than having the best time of their lives, knew they were building something more than a straw and string structure. With sights set on forever, all that remained was actually getting engaged.
With the help of Jared’s mother and sister a plan was hatched. In the next week they built the prop and set the stage (The girls did most of the heavy lifting). Jared would trick her into thinking she was coming for an innocent couple photo-shoot the upcoming weekend.
The stage was set. Torie walked outside and heard a familiar sound coming from around the house. She rounded the corner
and saw a Time-Traveling Police Box! As she approached, the door popped-open. Jared dropped to one knee, and asked her to join him on the greatest adventure of their lives.
And now we’re here
Planning a wedding while Jared works and Torie tries to finish up school. It’s a busy time for both of them, but it’s all worth it.


Dr. Deepak Garg
HOD and Professor
The skipper in-charge, adept at Data science, algorithms, and MOOC design
Dr. Shivani Goel
Professor
The lady-in-command for MOOCs, software reuse and Machine learning
Dr. K. K. Biswas
Professor
Our very own resident-senior, the Image Processing pundit
Dr. Samayveer Singh
Assistant Professor
The ‘Wireless’ wizard, deals with energy efficiency and optimization in WSNs
Dr. Arpit Bhardwaj
Assistant Professor
How about some genetic programming and neural networks? You got it!
Dr. Gaurav Singal
Assistant Professor
He can make you fly! … or at least make your drones fly
Dr. Seung-Hwa Chung
Associate Professor
The smiling Korean does some cool IoT and Ontology stuff.
Dr. Suneet Kumar Gupta
Assistant Professor
This gentleman knows how to design sensors. Period.
Dr. Anurag Goswami
Assistant Professor
A dash of psychology and a splash of software engineering.
Dr. Vipul Kumar Mishra
Assistant Professor
He’s the go-to guy for EDA design, dabbles with IoT as well
Dr. Rishav Singh
Assistant Professor
He's our Big guy… the ‘Big data’ guy, that is
Dr. Madhushi Verma
Assistant Professor
Some people like things fuzzy… while some prefer fuzzy logic
Dr. Tanveer Ahmed
Assistant Professor
Psychology and Machine learning. Now that’s interesting!


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This is the header
This is before Items
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library(tidyverse)
library(cowplot)
library(broom)
library(modelr)
library(viridis)
library(lubridate)
library(knitr)
#knitr::opts_knit$set(root.dir = '/Users/scottsaunders/git/labwork/IDA/12_10_18')
knitr::opts_chunk$set(tidy.opts=list(width.cutoff=60),tidy=TRUE, echo = TRUE, message=FALSE, warning=FALSE, fig.align="center")
theme_1 <- function () {
theme_classic() %+replace%
theme(
axis.text = element_text( size=12),
axis.title=element_text(size=14),
strip.text = element_text(size = 14),
strip.background = element_rect(color='white'),
legend.title=element_text(size=14),
legend.text=element_text(size=12),
legend.text.align=0,
panel.grid.major = element_line(color='grey',size=0.1)
)
}
theme_set(theme_1())
#source("../../tools/echem_processing_tools.R")
Notebooks that use version 3 analysis:
I decided to try all three solutions suggested in V2:
The main idea is to measure during the transfer step, but instead of waiting for equilibrium, to measure repeatedly before the system reaches equilibrium. At this point, the PYO should be associated with the electrode/biofilm and the solution/background PYO should be lower.
The unknown going into this was whether the ever decreasing PYO concentration would be so fast that it would cause poor GC measurements (peak current needs to reach equilibrium) and change the PYO concentration before an SWV scan could be paired with the GC.
First, let’s see what GC curves look like when taken under non-equilibrium conditions. Normally the curves flatten out as the generator reaches very reducing (negative) potentials.
gc_curves_df <- read_csv("../12_10_18/Processing/12_10_18_reactor_A_processed_GC_i2_curves.csv")
ggplot(gc_curves_df %>% filter(PHZaddedInt == 200), aes(x = E,
y = current)) + geom_point(aes(color = rep)) + scale_x_reverse() +
ggtitle("200uM Collector currents")
This plot shows the collector currents taken during the equilibration following a 200uM PYO soak. In total 7 gc’s were taken during this ~1 hr long equilibration, and the first rep was the only one that showed a deviation from the flat/equilibrium flux at the negative potentials. This is likely because the concentration was changing very fast at that point in the equilibration. Note, that 200uM, rep 1 was the only curve to show this behavior.
Following the end of each reductive sweep SWV scans (2 sec duration) were immediately restarted, hopefully providing a reasonably close paired measurement.
Let’s now look at the quantified GC vs. SWV scans for 4 different soak concentrations. You can see that each concentration has multiple datapoints that were taken during each equilibration.
gc_swv_df <- read_csv("../12_10_18/Processing/12_10_18_processed_reactor_A_GC_SWV.csv")
ggplot(gc_swv_df %>% filter(PHZaddedInt < 200 & PHZaddedInt >
10), aes(x = signal_from_swv, y = signal_from_gc)) + geom_point(aes(color = PHZadded)) +
geom_smooth(method = "lm")
The relationship, still looks pretty linear. We could estimate linear slopes for each subset of the data, but for now let’s just look at the best fit line of the whole dataset above. Also note that more datapoints at the higher values would be better.
The linear model yields the following coefficients:
gc_swv_linear_fit1 <- lm(signal_from_gc ~ signal_from_swv, gc_swv_df %>%
filter(PHZaddedInt < 200 & PHZaddedInt > 10))
coef(summary(gc_swv_linear_fit1))
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.748189e-08 1.51598e-09 -11.53174 1.007475e-11
## signal_from_swv 1.811346e-01 1.02817e-02 17.61718 5.656763e-16
With a slope, \(m\) of about 0.18, we can calculate a \(D_{ap}\) value.
m <- coef(summary(gc_swv_linear_fit1))[2] #about 0.18
psi <- 0.91
t_p <- 1/300 # frequency is 300 hz (sec)
A <- 0.025 #cm^2
S <- 18.4 #cm
D_ap <- (m * A * psi)^2/(S^2 * pi * t_p)
paste("D_ap =", D_ap, "cm^2 / sec")
## [1] "D_ap = 4.78962153286365e-06 cm^2 / sec"
This \(D_{ap}\) value seems pretty reasonable. In the future we should compare it to replicates and also to a blank IDA subjected to the same analysis.
I don’t see a problem with the \(D_{ap}\) estimation, but it is worth noting that there may be a problem trying to calculate \(D_m\) from the same equilibration as \(D_{ap}\).
The SWV peak current decay is shown below. You can see that 5 SWVs were taken 1 min apart, followed by a gap. Those gaps are when the GCs were taken.
swv_decays <- read_csv("../12_10_18/Processing/12_10_18_processed_reactor_A_swv_decays.csv")
ggplot(swv_decays %>% filter(PHZaddedInt == "75"), aes(x = norm_time,
y = signal)) + geom_point() + facet_wrap(~PHZadded, scales = "free") +
ylab("SWV signal") + xlab("Time (min)")
Note that this decay was also taken with fast SWVs (2 sec duration), and therefore it may be hard to visually compare to the V2 method with slow SWVs (40 sec duration). That said, it seems like the decay was quite rapid, compared to what I was used to seeing. This could just be caused by the different scan settings, but it may also be influenced by the repeated GC scans during this time period. Inevitably, a GC scan will reduce much of the biofilm PYO, and most of it will not be captured by the collector electrode. If \(PYO_{red}\) is more easily able to diffuse out of the biofilm, due to its lower affinity for DNA, these GC scans may be driving PYO out of the biofilm faster than the typical equilibration we want to observe.
One solution is that we can use one equilibration to take as many GC scans (coupled to 1 SWV scan) to measure \(D_{ap}\). Then we can take another equilibration with just intermittent SWV scans to measure \(D_m\).


Overview
Most of the function tests in Longhorn has been covered by the automation test.
But sometimes it’s hard to test certain scenarios in the Automation test, so we have this list of manual testing which should be done before the release.
We’re also working on converting the manual tests to the automation test as well.
Test cases
The controller
below is referring to the Longhorn Engine working as the controller. It’s not the Kubernetes controller in the Longhorn Manager.


Hiking etiquette 101 right here. We highly recommend for everyone's sake that you take the
time
to get this down. no excuses.
If your're looking to explore and enjoy some truly beautiful parks look in here and find the
park you're looking for. Warning these parks are highly populated. Enter at your own
introverted
risk.
 We have this lovely article for you to do just that. Enjoy. You are welcome.
Get to know the developers! We think were pretty cool... Meet Nathan Forgille, Morgan Franke,
Get to know the developers! We think were pretty cool... Meet Nathan Forgille, Morgan
Franke,
Robert Koch, and Tolga Secme!


If you want to rate again, go back here.
If you want to see average ratings for all assistants, go here.


Government data science sandbox
Create your own government data science sandbox to try new ways of analysing data, improve your coding skills or to help build a case for your department to invest in data science tools.
{% endblocktrans %}Signing up to the alpha
To sign up to the alpha version of this service, you need a government email address and a GitHub account. We use GitHub to authenticate you and to save the work you do in your sandbox.
{% endblocktrans %}Your commitments
For security reasons, only open data can be loaded into your government data science sandbox. In signing up for one, you’ll be agreeing not to load any sensitive, personal or classified data. You’ll also be agreeing to uphold the Data Science Ethical Data Framework.
Get help
The government data science sandbox is being developed by the Better Use of Data team at the Government Digital Service.
Contact the team if you have feedback, need help, or have a question.
{% endblocktrans %}


I am a Full Stack Developer from Gandhinagar, India. I love to build stuff and help others do the same. I focus on bringing up the story behind everything that a brand resembles while also taking care of business needs.
When I am not writing code, I am majorly involve in content creation around life in general either through my videos or podcast. I also like reading books while exploring other fields like psychology, health, and entrepreneurship.
View ResumeIt's a simple React App, where you can search for any dish name and it will fetch you the recipe's available and show it you.
A project in which I have tried to mimick the chat fuctionality and design of a popular app in professional world called Slack.It’s still in process as I look forward to add more features to it, right now you can login, logout, add a channel and chat in that channel, all real time.
Work in progress I am trying to build a fully functional ecommerce store with checkout functionality.
A portfolio Website built on flask, which consist of most of my projects that are python and scraping specific.
Would love to talk about the next interesting project
Email


Point collections#
This module was designed as a part of framework for toric varieties
(variety
,
fano_variety
).
AUTHORS:
Andrey Novoseltsev (2011-04-25): initial version, based on cone module.
Andrey Novoseltsev (2012-03-06): additions and doctest changes while switching cones to use point collections.
EXAMPLES:
The idea behind point collections
is to have a
container for points of the same space that
behaves like a tuple without significant performance penalty:
sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]).rays() sage: c[1] N(1, 0, 1) sage: for point in c: point N(0, 0, 1) N(1, 0, 1) N(0, 1, 1) N(1, 1, 1)
prints in a convenient way and with clear indication of the ambient space:
sage: c N(0, 0, 1), N(1, 0, 1), N(0, 1, 1), N(1, 1, 1) in 3-d lattice N
allows (cached) access to alternative representations:
sage: c.set() frozenset({N(0, 0, 1), N(0, 1, 1), N(1, 0, 1), N(1, 1, 1)})
allows introduction of additional methods:
sage: c.basis() N(0, 0, 1), N(1, 0, 1), N(0, 1, 1) in 3-d lattice N
Examples of natural point collections include ray and line generators of cones, vertices and points of polytopes, normals to facets, their subcollections, etc.
Using this class for all of the above cases allows for unified interface and cache sharing. Suppose that \(\Delta\) is a reflexive polytope. Then the same point collection can be linked as
vertices of \(\Delta\);
facet normals of its polar \(\Delta^\circ\);
ray generators of the face fan of \(\Delta\);
ray generators of the normal fan of \(\Delta\).
If all these objects are in use and, say, a matrix representation was computed for one of them, it becomes available to all others as well, eliminating the need to spend time and memory four times.
- class sage.geometry.point_collection.PointCollection#
Bases:
SageObject
Create a point collection.
Warning
No correctness check or normalization is performed on the input data. This class is designed for internal operations and you probably should not use it directly.
Point collections are immutable, but cache most of the returned values.
INPUT:
points
– an iterable structure of immutable elements ofmodule
, ifpoints
are already accessible to you as atuple
, it is preferable to use it for speed and memory consumption reasons;module
– an ambient module forpoints
. IfNone
(the default), it will be determined asparent()
of the first point. Of course, this cannot be done if there are no points, so in this case you must give an appropriatemodule
directly.
OUTPUT:
a point collection.
- basis()#
Return a linearly independent subset of points of
self
.OUTPUT:
a
point collection
giving a random (but fixed) choice of an \(\RR\)-basis for the vector space spanned by the points ofself
.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]).rays() sage: c.basis() N(0, 0, 1), N(1, 0, 1), N(0, 1, 1) in 3-d lattice N
Calling this method twice will always return exactly the same point collection:
sage: c.basis().basis() is c.basis() True
- cardinality()#
Return the number of points in
self
.OUTPUT:
an integer.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]).rays() sage: c.cardinality() 4
- cartesian_product(other, module=None)#
Return the Cartesian product of
self
withother
.INPUT:
other
– apoint collection
;module
– (optional) the ambient module for the result. By default, the direct sum of the ambient modules ofself
andother
is constructed.
OUTPUT:
EXAMPLES:
sage: c = Cone([(0,0,1), (1,1,1)]).rays() sage: c.cartesian_product(c) N+N(0, 0, 1, 0, 0, 1), N+N(1, 1, 1, 0, 0, 1), N+N(0, 0, 1, 1, 1, 1), N+N(1, 1, 1, 1, 1, 1) in 6-d lattice N+N
- column_matrix()#
Return a matrix whose columns are points of
self
.OUTPUT:
a
matrix
.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]).rays() sage: c.column_matrix() [0 1 0 1] [0 0 1 1] [1 1 1 1]
- dim()#
Return the dimension of the space spanned by points of
self
.Note
You can use either
dim()
ordimension()
.OUTPUT:
an integer.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,1,1)]).rays() sage: c.dimension() 2 sage: c.dim() 2
- dimension()#
Return the dimension of the space spanned by points of
self
.Note
You can use either
dim()
ordimension()
.OUTPUT:
an integer.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,1,1)]).rays() sage: c.dimension() 2 sage: c.dim() 2
- dual_module()#
Return the dual of the ambient module of
self
.OUTPUT:
a
module
. If possible (that is, if the ambientmodule()
\(M\) ofself
has adual()
method), the dual module is returned. Otherwise, \(R^n\) is returned, where \(n\) is the dimension of \(M\) and \(R\) is its base ring.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]).rays() sage: c.dual_module() 3-d lattice M
- index(*args)#
Return the index of the first occurrence of
point
inself
.INPUT:
point
– a point ofself
;start
– (optional) an integer, if given, the search will start at this position;stop
– (optional) an integer, if given, the search will stop at this position.
OUTPUT:
an integer if
point
is inself[start:stop]
, otherwise aValueError
exception is raised.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]).rays() sage: c.index((0,1,1)) Traceback (most recent call last): ... ValueError: tuple.index(x): x not in tuple
Note that this was not a mistake: the tuple
(0,1,1)
is not a point ofc
! We need to pass actual element of the ambient module ofc
to get their indices:sage: N = c.module() sage: c.index(N(0,1,1)) 2 sage: c[2] N(0, 1, 1)
- matrix()#
Return a matrix whose rows are points of
self
.OUTPUT:
a
matrix
.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]).rays() sage: c.matrix() [0 0 1] [1 0 1] [0 1 1] [1 1 1]
- module()#
Return the ambient module of
self
.OUTPUT:
a
module
.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]).rays() sage: c.module() 3-d lattice N
- static output_format(format=None)#
Return or set the output format for ALL point collections.
INPUT:
format
– (optional) if given, must be one of the strings“default” – output one point per line with vertical alignment of coordinates in text mode, same as “tuple” for LaTeX;
“tuple” – output
tuple(self)
with lattice information;“matrix” – output
matrix()
with lattice information;“column matrix” – output
column_matrix()
with lattice information;“separated column matrix” – same as “column matrix” for text mode, for LaTeX separate columns by lines (not shown by jsMath).
OUTPUT:
a string with the current format (only if
format
was omitted).
This function affects both regular and LaTeX output.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]).rays() sage: c N(0, 0, 1), N(1, 0, 1), N(0, 1, 1), N(1, 1, 1) in 3-d lattice N sage: c.output_format() 'default' sage: c.output_format("tuple") sage: c (N(0, 0, 1), N(1, 0, 1), N(0, 1, 1), N(1, 1, 1)) in 3-d lattice N sage: c.output_format("matrix") sage: c [0 0 1] [1 0 1] [0 1 1] [1 1 1] in 3-d lattice N sage: c.output_format("column matrix") sage: c [0 1 0 1] [0 0 1 1] [1 1 1 1] in 3-d lattice N sage: c.output_format("separated column matrix") sage: c [0 1 0 1] [0 0 1 1] [1 1 1 1] in 3-d lattice N
Note that the last two outputs are identical, separators are only inserted in the LaTeX mode:
sage: latex(c) \left(\begin{array}{r|r|r|r} 0 & 1 & 0 & 1 \\ 0 & 0 & 1 & 1 \\ 1 & 1 & 1 & 1 \end{array}\right)_{N}
Since this is a static method, you can call it for the class directly:
sage: from sage.geometry.point_collection import PointCollection sage: PointCollection.output_format("default") sage: c N(0, 0, 1), N(1, 0, 1), N(0, 1, 1), N(1, 1, 1) in 3-d lattice N
- set()#
Return points of
self
as afrozenset
.OUTPUT:
a
frozenset
.
EXAMPLES:
sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]).rays() sage: c.set() frozenset({N(0, 0, 1), N(0, 1, 1), N(1, 0, 1), N(1, 1, 1)})
- write_for_palp(f)#
Write
self
into an open filef
in PALP format.INPUT:
f
– a file opened for writing.
EXAMPLES:
sage: o = lattice_polytope.cross_polytope(3) sage: from io import StringIO sage: f = StringIO() sage: o.vertices().write_for_palp(f) sage: print(f.getvalue()) 6 3 1 0 0 0 1 0 0 0 1 -1 0 0 0 -1 0 0 0 -1
- sage.geometry.point_collection.is_PointCollection(x)#
Check if
x
is apoint collection
.INPUT:
x
– anything.
OUTPUT:
True
ifx
is a point collection andFalse
otherwise.
EXAMPLES:
sage: from sage.geometry.point_collection import is_PointCollection sage: is_PointCollection(1) False sage: c = Cone([(0,0,1), (1,0,1), (0,1,1), (1,1,1)]) sage: is_PointCollection(c.rays()) True
- sage.geometry.point_collection.read_palp_point_collection(f, lattice=None, permutation=False)#
Read and return a point collection from an opened file.
Data must be in PALP format:
the first input line starts with two integers \(m\) and \(n\), the number of points and the number of components of each;
the rest of the first line may contain a permutation;
the next \(m\) lines contain \(n\) numbers each.
Note
If \(m\) < \(n\), it is assumed (for compatibility with PALP) that the matrix is transposed, i.e. that each column is a point.
INPUT:
f
– an opened file with PALP output.lattice
– the lattice for points. If not given, thetoric lattice
\(M\) of dimension \(n\) will be used.permutation
– (default:False
) ifTrue
, try to retrieve the permutation. This parameter makes sense only when PALP computed the normal form of a lattice polytope.
OUTPUT:
a
point collection
, optionally followed by a permutation.None
if EOF is reached.
EXAMPLES:
sage: data = "3 2 regular\n1 2\n3 4\n5 6\n2 3 transposed\n1 2 3\n4 5 6" sage: print(data) 3 2 regular 1 2 3 4 5 6 2 3 transposed 1 2 3 4 5 6 sage: from io import StringIO sage: f = StringIO(data) sage: from sage.geometry.point_collection \ ....: import read_palp_point_collection sage: read_palp_point_collection(f) M(1, 2), M(3, 4), M(5, 6) in 2-d lattice M sage: read_palp_point_collection(f) M(1, 4), M(2, 5), M(3, 6) in 2-d lattice M sage: read_palp_point_collection(f) is None True


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{{/if}}The online registration is open from the 14th until the 20th of January only for students who help and/or host. Enrolment will continue from the 21st at our Helpdesk (only if there are tickets left)
Party package: if you can't participate to the event but you still want to host, you will get one or two free entries at the parties, plus two free drinks. For more info send an email to<EMAIL_ADDRESS>Registration for internals has come to an end, see you at Snowdays!


See: Description
| Class | Description |
|---|---|
| ConfigurationImpl |
Hibernate specific
Configuration implementation. |
| ConstraintTree<A extends Annotation> |
Due to constraint composition a single constraint annotation can lead to a whole constraint tree being validated.
|
| ConstraintValidatorContextImpl | |
| ConstraintValidatorFactoryImpl |
Default
ConstraintValidatorFactory using a no-arg constructor. |
| ConstraintViolationImpl<T> | |
| MessageAndPath |
Container class for a validation error message and its corresponding path.
|
| MessageInterpolatorContext |
Implementation of the context used during message interpolation.
|
| MethodConstraintViolationImpl<T> | |
| MethodParameterNodeImpl |
A
Path.Node implementation representing a single method parameter. |
| MethodReturnValueNodeImpl |
A
Path.Node implementation representing a single method parameter. |
| MethodValidationContext<T> |
A
ValidationContext implementation which creates and manages
violations of type MethodConstraintViolation . |
| NodeImpl |
Immutable implementation of a
Path.Node . |
| PathImpl | |
| StandardValidationContext<T> |
A
ValidationContext implementation which creates and manages violations of type ConstraintViolation . |
| ValidationContext<T,C extends ConstraintViolation<T>> |
Context object keeping track of all important data for a top level
Validator.validate(Object, Class[]) },
Validator.validateValue(Class, String, Object, Class[]) }
or Validator.validateProperty(Object, String, Class[]) call. |
| ValidatorContextImpl | |
| ValidatorFactoryImpl |
Factory returning initialized
Validator instances. |
| ValidatorImpl |
The main Bean Validation class.
|
| ValueContext<T,V> |
An instance of this class is used to collect all the relevant information for validating a single class, property or
method invocation.
|
Implementations for the core interfaces of JSR-303.
Copyright © 2007-2014 Red Hat Middleware, LLC. All Rights Reserved


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Dashie's Bistro is a recepient of multiple awards for its great food and service. Details are coming soon.


Does your Disney+ stream keep buffering? Try these fixes for better video
by Christine ChanSource: Ara Wagoner / Android Central
With Disney+, we can now watch all of our favorite classic Disney films, as well as other content from Pixar, Lucasfilm, Marvel, National Geographic, and Fox, all in one place. Disney+ is still in its infancy though, so it's not uncommon to see playback issues, such as buffering, while watching your shows and movies. Luckily there's something you can do about it.
Make sure your Internet speeds meet the minimum requirements
Quality of video played through Disney+ will depend entirely on your Internet connection speed. The quality automatically adjusts itself based on the speed available at the moment, so if it's fluctuating a lot, then it'll be very noticeable as you watch.
For best video quality, Disney+ recommends the following:
- 5.0 Mbps for High Definition content
- 25.0 Mbps for 4K UHD content
Maintaining a consistent connection with those speeds will guarantee good playback quality. You should also check on how many simultaneous video streams or other high-bandwidth activities are going on at once on your Internet connection, as speeds are reduced if more devices are actively using the connection.
If you're unsure of your Internet speeds, test them with a service like Speedtest.net.
Fully close the Disney+ app
Usually, simply closing out of an app fully and restarting it will fix most issues that you have.
- Fully close out of Disney+ on your streaming device (as well as any other apps running in the background).
- Launch Disney+ on your streaming device again. Source: Android Central
Power-cycle your Disney+ streaming devices
A lot of tech woes can be resolved by powering everything off and restarting it. If you've tried restarting the app with no change, then you might want to try whatever device you're using to stream.
- Power off your modem and router through a power button if applicable, or just unplug it from the power source.
- Turn off your Disney+ streaming device through a power button if applicable, or just unplug it.
- Turn on or plug in the modem and router if you disconnected them.
- Restart your streaming device.
- Launch the Disney+ app once again.
Make sure you're using the latest software
If you are not running the latest version of the Disney+ app, then that may be contributing to the video playback issues you're experiencing. Make sure you're running the latest version of Disney+ by checking for updates in your streaming device's app store.
- Launch the App Store on your streaming device.
- Select the Updates tab. If you're using an iOS device, updates have moved to your Apple ID Account tab, which is accessed by tapping your avatar in the upper right corner.
- Tap Update on the Disney+ app if there is one. Source: Android Central
Another thing that may cause issues is older operating system software. Make sure your streaming device is on the latest operating system version. To check for updates, go into your streaming device's settings menu.
Clear out your device's cached data
Source: Ara Wagoner / Android Central
As you use apps and programs, temporary files get stored on your device to help with overall performance, since it means the same items don't need to load repeatedly. This results in a sped-up browsing experience. But sometimes that cached data can get corrupted and lead to streaming issues.
You can clear out the stored cache on your streaming device to help with performance and stability of your video playback. To get the steps for each individual supported device, check Disney's help page.
Uninstall and reinstall Disney+
Sometimes the app may just have issues and uninstalling it and then reinstalling it will fix problems.
- Delete Disney+ app from your device by following the standard protocol for the device you're using.
- Power off your device if you're able to.
- Turn the device back on.
- Navigate to your device's digital app storefront and search for Disney+.
- Download the app to your device. Source: Android Central
- Log in with your account email and password.
Check all of your components
Disney+ recommends using individual components that support high-bandwidth digital content. This includes HDMI cables, external displays, and more. Specifically, displays should have HDCP 2.2 for 4K Ultra HD and HDR content. Other audio and video components can also impact playback quality.
Might just be high demand
Disney+ is drawing in a lot of subscribers, and some programs are seeing heavy demand, such as The Mandalorian. If you are still experiencing playback issues, especially with certain titles, it may be due to the number of people trying to watch it at the same time. Sometimes the best solution is to wait a bit and try again later.
Everything Disney
Disney+
Disney on everything, everywhere
Disney+ features content from Disney, Pixar, Lucasfilm, Marvel, National Geographic, and Fox that spans over many decades. You'll find a bit of everything here, from old classics to completely new and exclusive originals.
We may earn a commission for purchases using our links. Learn more.


property BufferOversize: Integer; // protected
BufferOversize specifies how the back buffer is reallocated when the control is resized.
When BufferOversize equals 0, the back buffer is reallocated each time the control is resized to suite the new control dimensions.
When set to some positive value (40 by default), the back buffer is allowed to be up to BufferOversize pixels larger then the control is in each direction. The buffer resizing algorithm tracks size changes and reallocates the buffer only when its size becomes smaller than size of the buffered area or when the difference between the sizes exceeds the specified amount of pixels.


001 /* 002 * Copyright (C) 2010 Google Inc. 003 * 004 * Licensed under the Apache License, Version 2.0 (the "License"); 005 * you may not use this file except in compliance with the License. 006 * You may obtain a copy of the License at 007 * 008 * http://www.apache.org/licenses/LICENSE-2.0 009 * 010 * Unless required by applicable law or agreed to in writing, software 011 * distributed under the License is distributed on an "AS IS" BASIS, 012 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 013 * See the License for the specific language governing permissions and 014 * limitations under the License. 015 */ 016 017 package com.google.common.util.concurrent; 018 019 import static com.google.common.base.Preconditions.checkArgument; 020 import static com.google.common.base.Preconditions.checkNotNull; 021 022 import com.google.common.annotations.Beta; 023 024 import java.lang.Thread.UncaughtExceptionHandler; 025 import java.util.concurrent.ThreadFactory; 026 import java.util.concurrent.atomic.AtomicLong; 027 028 /** 029 * A ThreadFactory builder, providing any combination of these features: 030 * <ul> 031 * <li> whether threads should be marked as {@linkplain Thread#setDaemon daemon} 032 * threads 033 * <li> a {@linkplain ThreadFactoryBuilder#setNameFormat naming format} 034 * <li> a {@linkplain Thread#setPriority thread priority} 035 * <li> an {@linkplain Thread#setUncaughtExceptionHandler uncaught exception 036 * handler} 037 * <li> a {@linkplain ThreadFactory#newThread backing thread factory} 038 * </ul> 039 * If no backing thread factory is provided, new threads are created using 040 * {@link Thread#Thread(Runnable)}. 041 * 042 * @author Kurt Alfred Kluever 043 * @since 4 044 */ 045 @Beta 046 public final class ThreadFactoryBuilder { 047 private String nameFormat = null; 048 private Boolean daemon = null; 049 private Integer priority = null; 050 private UncaughtExceptionHandler uncaughtExceptionHandler = null; 051 private ThreadFactory backingThreadFactory = null; 052 053 /** 054 * Creates a new {@link ThreadFactory} builder. 055 */ 056 public ThreadFactoryBuilder() {} 057 058 /** 059 * Sets the naming format to use when naming threads ({@link Thread#setName}) 060 * which are created with this ThreadFactory. 061 * 062 * @param nameFormat a {@link String#format(String, Object...)}-compatible 063 * format String, to which a unique integer (0, 1, etc.) will be supplied 064 * as the single parameter. This integer will be unique to the built 065 * instance of the ThreadFactory and will be assigned sequentially. 066 * @return this for the builder pattern 067 */ 068 public ThreadFactoryBuilder setNameFormat(String nameFormat) { 069 String.format(nameFormat, 0); // fail fast if the format is bad or null 070 this.nameFormat = nameFormat; 071 return this; 072 } 073 074 /** 075 * Sets daemon or not for new threads created with this ThreadFactory. 076 * 077 * @param daemon whether or not new Threads created with this ThreadFactory 078 * will be daemon threads 079 * @return this for the builder pattern 080 */ 081 public ThreadFactoryBuilder setDaemon(boolean daemon) { 082 this.daemon = daemon; 083 return this; 084 } 085 086 /** 087 * Sets the priority for new threads created with this ThreadFactory. 088 * 089 * @param priority the priority for new Threads created with this 090 * ThreadFactory 091 * @return this for the builder pattern 092 */ 093 public ThreadFactoryBuilder setPriority(int priority) { 094 // Thread#setPriority() already checks for validity. These error messages 095 // are nicer though and will fail-fast. 096 checkArgument(priority >= Thread.MIN_PRIORITY, 097 "Thread priority (%s) must be >= %s", priority, Thread.MIN_PRIORITY); 098 checkArgument(priority <= Thread.MAX_PRIORITY, 099 "Thread priority (%s) must be <= %s", priority, Thread.MAX_PRIORITY); 100 this.priority = priority; 101 return this; 102 } 103 104 /** 105 * Sets the {@link UncaughtExceptionHandler} for new threads created with this 106 * ThreadFactory. 107 * 108 * @param uncaughtExceptionHandler the uncaught exception handler for new 109 * Threads created with this ThreadFactory 110 * @return this for the builder pattern 111 */ 112 public ThreadFactoryBuilder setUncaughtExceptionHandler( 113 UncaughtExceptionHandler uncaughtExceptionHandler) { 114 this.uncaughtExceptionHandler = checkNotNull(uncaughtExceptionHandler); 115 return this; 116 } 117 118 /** 119 * Sets the backing {@link ThreadFactory} for new threads created with this 120 * ThreadFactory. Threads will be created by invoking #newThread(Runnable) on 121 * this backing {@link ThreadFactory}. 122 * 123 * @param backingThreadFactory the backing {@link ThreadFactory} which will 124 * be delegated to during thread creation. 125 * @return this for the builder pattern 126 * 127 * @see MoreExecutors 128 */ 129 public ThreadFactoryBuilder setThreadFactory( 130 ThreadFactory backingThreadFactory) { 131 this.backingThreadFactory = checkNotNull(backingThreadFactory); 132 return this; 133 } 134 135 /** 136 * Returns a new thread factory using the options supplied during the building 137 * process. After building, it is still possible to change the options used to 138 * build the ThreadFactory and/or build again. State is not shared amongst 139 * built instances. 140 * 141 * @return the fully constructed {@link ThreadFactory} 142 */ 143 public ThreadFactory build() { 144 return build(this); 145 } 146 147 private static ThreadFactory build(ThreadFactoryBuilder builder) { 148 final String nameFormat = builder.nameFormat; 149 final Boolean daemon = builder.daemon; 150 final Integer priority = builder.priority; 151 final UncaughtExceptionHandler uncaughtExceptionHandler = 152 builder.uncaughtExceptionHandler; 153 final ThreadFactory backingThreadFactory = builder.backingThreadFactory; 154 final AtomicLong count = (nameFormat != null) ? new AtomicLong(0) : null; 155 return new ThreadFactory() { 156 @Override public Thread newThread(Runnable runnable) { 157 Thread thread = (backingThreadFactory != null) 158 ? backingThreadFactory.newThread(runnable) 159 : new Thread(runnable); 160 if (nameFormat != null) { 161 thread.setName(String.format(nameFormat, count.getAndIncrement())); 162 } 163 if (daemon != null) { 164 thread.setDaemon(daemon); 165 } 166 if (priority != null) { 167 thread.setPriority(priority); 168 } 169 if (uncaughtExceptionHandler != null) { 170 thread.setUncaughtExceptionHandler(uncaughtExceptionHandler); 171 } 172 return thread; 173 } 174 }; 175 } 176 }


welcome to (about me) page
Hello everyone , My name is Ayman ,I love football and swimming
Germany
Turky
sweden
norway
England
Egypt


About Me
Hey, my name is Tewelde Abraha.
I'm an aspiring UX designer studying application development at Seattle Central College via Year Up. Ethical design with an emphasis of inclusion is where my passion resides. I love working on projects with teams who are diligent and intentional.
I'm currently learning and developing technical and professional skills as a student in the Year Up program. These skills include CSS, Excel, cloud based platforms and version control systems.
In my free time, I've been studying hard to be a freelance web designer. I love my Eritrean heritage, which in turn guides my advocacy for all disenfranchised communities.
Page Origin
The HTML/CSS comes from Sara Newman's WEB110 class as taught at Seattle Central. This page provides a basis for students to build a responsive portal page.
Study how this page is built, and use it as a foundation for your portal or other sites!
Copyright [2014-2021] [Sara Newman]. Licensed under the Apache License, Version 2.0


Lorem Ipsum is not simply random text.
It has roots in a piece
Lorem Ipsum is not simply random text.
It has roots in a piece
Lorem Ipsum is not simply random text.
It has roots in a piece
Lorem Ipsum is simply dummy text of the printing and typesetting
Lorem Ipsum has been the industry's standard dummy text ever
When an unknown printer took a galley of type and scrambled
It to make a type specimen book. It has survived not only five centuries
But also the leap into electronic typesetting
Remaining essentially unchanged. It was popularised
The release of Letraset sheets containing Lorem Ipsum passages


Server Error
400 The browser is sended a bad request
The page you are looking for cannot be displayed because an Bad request was used to attempt access.


Medical waste disposal is one of the biggest day-to-day challenges faced by healthcare providers. It's often complicated by other concerns like HIPAA, epidemiology, potential civil litigation, and state and local regulation. Because at MedPro Waste Disposal we aim to help providers become better providers, we're taking a look at the key concepts around medical waste.
Definition of Bio-Medical Waste
Medical waste is any kind of waste that contains infectious material (or material that's potentially infectious). This definition includes waste generated by healthcare facilities like physician's offices, hospitals, dental practices, laboratories, medical research facilities, and veterinary clinics.
Medical waste can contain bodily fluids like blood or other contaminants. The 1988 Medical Waste Tracking Act defines is as waste generated during medical research, testing, diagnosis, immunization, or treatment of either human beings or animals. Some examples are culture dishes, glassware, bandages, gloves, discarded sharps like needles or scalpels, swabs, and tissue.
Medical Waste Types:
The term medical waste can cover a wide variety of different byproducts of the healthcare industry. The broadest definition can include office paper and hospital sweeping waste. The list below displays the most common waste categories as identified by the WHO.
Sharps. This kind of waste includes anything that can pierce the skin, including needles, scalpels, lancets, broken glass, razors, ampules, staples, wires, and trocars.
Infectious Waste. Anything infectious or potentially infectious goes in this category, including swabs, tissues, excreta, equipment, and lab cultures.
Radioactive. This kind of waste generally means unused radiotherapy liquid or lab research liquid. It can also consist of any glassware or other supplies contaminated with this liquid.
Pathological. Human fluids, tissue, blood, body parts, bodily fluids, and contaminated animal carcasses come under this waste category.
Pharmaceuticals. This grouping includes all unused, expired, and/or contaminated vaccines and drugs. It also encompasses antibiotics, injectables, and pills.
Chemical. These are disinfectants, solvents used for laboratory purposes, batteries, and heavy metals from medical equipment such as mercury from broken thermometers.
Genotoxic Waste. This is a highly hazardous form of medical waste that's either carcinogenic, teratogenic, or mutagenic. It can include cytotoxic drugs intended for use in cancer treatment.
General Non-Regulated Medical Waste. Also called non-hazardous waste, this type does not pose any particular chemical, biological, physical, or radioactive danger.
The benifits of biomedical progress are obvious, clear and powerful. But the hazards are much less well apreiciated. So it's time to rethink about this issue to save us from the big hazardous disasters awaiting us.


Our carefully curated range of wines have been imported from all the best regions known for their fine grapes. Enjoy a glass that is perfectly paired with your meal at emai.
By the Glass
- Italy, Puglia, Primo Sangiovese-Merlot, red 126
- Italy, Montipagano, Trebbiano d’Abruzzo, organic white 126
Sparkling
- Spain, Albert i Noya Petit Albet Brut Reserva, organic 896
White Wines
- Italy, Montipagano Trebbiano d’Abruzzo, organic 675
- Argentina, Cuma Organic Torrontes 675
- New Zealand, Wairau River Sauvignon Blanc 907
- Germany, Selbach Qualitätswein, Riesling 907
Rose Wines
- Argentina, Michel Torino Rose 600
Red Wines
- Italy, Puglia, Primo Sangiovese-Merlot 590
- Italy, Puglia, I Muri Negroamaro 730
- Italy, Puglia, Luccarelli Negroamaro 730
- South Africa, The Wolftrap Syrah-Mourvedre-Vionier 732
- South Africa, Robertson Pinot Noir 735
- Italy, Poggio ai Grilli Chianti, organic 761
- Chile, In Situ Syrah Reserve 770
- Argentina, Don David Malbec Reserve 858
- Spain, Albert i Noya Lignum Negre, organic 908
- New Zealand, Wairau River Pinot Noir 1508
- Italy, Cumaro Conero DOCG Riserva, Montepulciano 1876


List of Angular Example
Medium
- TreeView
- DataGrid
- Popover
- Accordion
- On/Off Switch
- Chosen
- Busy Indicator
- FileUpload
- Chart
- ScrollBar
- Dynamic Control
- Modal Window
- Multi Window
- Clock
Advance
- Weather
- BarcodeGenerator
- DayPilot Planner
- D3.js
-
Some Common Directives
- Dropdown
Selected
Text
- Enter key event of control
- Set Full
Text of Textbox
- Tab index set for all control
- Anchor Disabled
- Dropdown option disabled
-
Some Common Pipes
- Range pipes
- Text of True/False Value
- Duplicate text find
- Global Error Handler
- Make a change set of object
- Source Maps


Diagnosing your connection, you are being redirected to
https://canarytokens.com/about/articles/sy4w2hxlwl848sadwexiwi60q/post.jsp
.


{% extends 'base.html' %} {% block content %}
{% if search %}Total Cases: |
{{ search_total_case }} |
Total Deaths: |
{{ search_total_death }} |
Total Recovered: |
{{ search_total_recovered }} |
New Cases: |
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New Deaths: |
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Critical Cases: |
{{ search_serious_critical }} |
Case Rate: |
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Death Rate: |
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Test Rate: |
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Total Tests: |
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ledger / net.corda.v5.ledger.notary / NotaryService / Query
Query
interface Query
Interfaces for the request and result formats of queries supported by notary services. To
implement a new query, you must:
- Define data classes which implement the Query.Request and Query.Result interfaces
- Add corresponding handling for the new classes within the notary service implementations
that you want to support the query.
Types
|
|
interface Request |
|
|
interface Result |


High quality web images, made easy
Contact us
We’ve designed Phocus.io to empower you. If you have any comments or questions fill out the form below.
We are phocus
about phocus.io
how it works
Predefined image packages enable photo shoots to get done easily and quickly, while setting clear expectations on deliverables and cost. In most cases this will result in an easy, predictable and successful process for our clients as well as photographer providers.
INDEPENDENT CONTRACTOR AGREEMENT


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Comments on, questions about, and corrections to this post are welcome by e-mail (click to view address) or on Twitter (@litchk). Where relevant and with permission, they will be reproduced in an addendum to the post.
Comments
Comments on, questions about, and corrections to this post are welcome by e-mail (click to view address) or on Twitter (@litchk). Where relevant and with permission, they will be reproduced in an addendum to the post.


I just wanna tell you how much mean to me, I cannot describe it because words are failing me right now, but know I cherish you & I will foreva love you... my Queen I love you sooo much that no words can describe my feelings for you… yes it has been 4 months since we are together, but it feels a lot more… I’m sooooo attached to my Queen, that without listening to your voice, my day is incomplete, my day starts when I hear your beautiful voice…
 There was this feeling of inexplicable joi in my heart & I knew it at that moment that I needed to tell you just how much I love you. Forgive me, for I’m not a writer, & may not know the best way & the best words to use, but all I do know is that I love you & that I want to spend the rest of my life with you my Queen.  So, all I ask of you is to continue loving me, stay happy & I promise you that I shall do everything to take care of you & love you till the end of time…
I look back on us, & I know for a fact that you were & you are all that I need to truly feel complete… you have filled my life with so many colors that it’s hard to keep track of all the jois you bring, sometimes when you’re not aware of it, I look at you & think to myself “How lucky could I possible be, to have her?” I don’t say this to flatter you, but I say this to let you know that love is something that means you now, & it will always be so.
While I lay here waiting to hear from you, I can’t’ help thinking about what my life has become when you became my life not a part of it… Waiting & wanting you has been the focus of my thoughts these days, knowing that one day, all that I have envisioned of us being together, will finally happen…
You gimme reason to wake up this morning & smile… Just smile for no particular reason except the fact that you’re here. As days go by I feel myself growing closer & closer & my heart suddenly coming out of its shy spot & wanting to feel what it feels to be loved… I don’t eva want to lose this feeling, I don’t eva want to lose you my Queen..
When I hear you’re voice, it’s like a feeling I don’t want to leave; you give me comfort & joi.. .the sound of your voice is like my favorite song. I can listen to it all night… Yet still as I continue to lay here & think about everything you’re to me… You are in my mind now & I want to write it down. My heart is with you, but you’re also in my heart, but I want you close to me, so now you in my mind… When I look at your picture I feel my heart beats faster & I cannot describe the happiness that invades me.
When I feel you gaze upon my eyes & your hand holding mine, a wonderful feeling wraps me up, your love has turned my life around & now you have become my life… I know tomorrow will be better than today because of you… everyday I love a bit more… You are my owner now, when we hold & hug each other I would say there is nothing better…
My life revolves around you & I cannot conceive living without you, you’re the most wonderful thing I have lived, all my love for you, my Queen…
I love you a lot! These words are not enough to let you know the immense feelings that I have for you in my heart. Ever since I have met you it seems that I have experienced the moments of paradise with you. You are that one girl who has brought all happiness & cheer of life… which I was searching for till now. In your company I feel so blessed & happy that I wish to spend each & every moment with you my Queen… My Queen Aishwarya, you are really a dream come true for me. I feel so lucky & proud when I hold your hand because it in your presence that I feel so happy & blessed…
No words might be enough to tell you the ocean of love that I have for you but please know that I miss you every second. My heart beats for you & I really love you my Queen…
Thenks for being there my Queen wheneva I needed you, for patiently listening to my personal problems. My Queen I just want you to know how happy am I to have you in my life & thenk you for the love & the joi you bring… you’re happiness is the most important thing for me, you’re my happiness now…
I know that when you say you love me & I admit that i’ve fallen for you my Queen, I know that I wouldn’t let you shed any tears now on, I love you… & I take complete responsibility of my Queen, I’ll keep you safe & happy… you’re mine & I’m only only only yours & I’m completely yourssss…. My cute little gorgeous kind pretty beautiful angry panda, bandriya, Queen, wife, life, world, you’re my everything & I meant it….
I am who I am because of you my Queen, & there is no one else I want to be with. You have taught me so much about this world, even through the times when darkness covered my world, you were always there for me… you’re my light… I apologize, I sincerely apologize for all the fights we had so far, they were only because I don’t wanna lose you… I trust you & I know you ain’t going anywhere, but I get afraid when I see you close to someone else, that’s why we get into fights, I know its my fault, but what should I do, I can’t see you with others… now that I have told mumma there is no chance of me leaving… I wanna marry youuuu… Sorry for my insecurities but I promise I will neva restrict you from anything, my Queen you can do anything you want, I’m there with you, I’ll keep you safe & happy… I promise my Queen…
I will love you for the rest of my life, no matter what my Queen, I’ll marry you my Queen… Love you alwayzzz… Thenk you for being there for me…  Until then…

Your budhuuuuuuu


- calculateMatrixSize(PCM, int, int) - Method in class org.opencompare.PcmInspector
-
Calculates the size of a matrix
- calculateStatistics(String) - Method in class org.opencompare.PcmInspector
-
- cellCounter - Variable in class org.opencompare.PcmInspector
-
- cellFeatures - Variable in class org.opencompare.PcmInspector
-
- cellProducts - Variable in class org.opencompare.PcmInspector
-
- compareAll(String) - Method in class org.opencompare.ComparePcm
-
Method to recover the feature from the PCMs
- compareFeature(PCM, PCM) - Method in class org.opencompare.ComparePcm
-
- ComparePcm - Class in org.opencompare
-
Class to process and compares the PCM pair-to-pair
- ComparePcm() - Constructor for class org.opencompare.ComparePcm
-
- compareProduit(PCM, PCM) - Method in class org.opencompare.ComparePcm
-
- compareTwoProducByTypeOfCell(Product, Product, Set<Feature>) - Method in class org.opencompare.ComparePcm
-
Compare two products by the type of cell
- compareTwoProducts(Product, Product, Set<Feature>) - Method in class org.opencompare.ComparePcm
-
Compare two products by the key value for items who share the same feature
- CountPairs - Class in org.opencompare
-
Class to analyze pair-to-pair the cell values, the products and features
- CountPairs() - Constructor for class org.opencompare.CountPairs
-
- createFile(HashMap<K, V>, String) - Static method in class org.opencompare.PcmUtils
-
Create the output file for the frequencies methods


--- layout: page title: About header-img: "img/about-bg.png" ---
the trials and tribulations of coding with ted


The world's biodiversity is currently at great risk, and those few centers of research excellence in systematics that are also associated with first-class university education programs have an especially important role to play. Because of its unusual combination of attributes, with large herbaria and botanical garden as well as a number of supporting laboratories located within a major research university, UC Berkeley can make a unique contribution within California (and indeed the western United States) to these educational challenges.
A variety of undergraduate courses are taught by members of the Herbaria staff. Staff who are appointed as faculty members regularly supervise graduate students and post-doctoral fellows, and undergraduate projects are also possible. During the school year, the Herbaria host a weekly Botany Lunch seminar series, an informal brown-bag series in our lunchroom open to everybody, but especially the various botanical labs and groups on campus.
In 1994, the Friends of the Jepson Herbarium began a program to provide educational opportunities for a broad audience of professional and amateur botanists.
The Jepson Herbarium's educational program continues to grow as we add additional workshops and classes. The program serves as a liaison between the scientific community and the interested public. We remain dedicated to that role.


Imo govt. dissociates self from ultimatum to herdsmen
Agency Reporter
The Imo Government has dissociated itself from an ultimatum from a group giving herdsmen in the state 24 hours to vacate the state.
In a press statement issued on Monday in Owerri, Mr Chibuike Onyeukwu, the Chief Press Secretary to Gov. Emeka Ihedioha, stated that the group, operating under the aegis of Coalition of South East Youth Leaders, lacked legitimacy to speak for the state.
The statement described the reported ultimatum as “an embarrassment to the government and people of the state” and urged members of the public to disregard it.
It further stated that the group gave the warning, following an alarm raised by the managemenet of the Federal University of Technology, Owerri over relorted damage to their farms by animals allegedly owned by herdsmen.
“The attention of the Government of Imo has been drawn to a report on some news media, credited to a group, which identified itself as Coalition of South East Youth Leaders, giving herdsmen in the state 24 hours to quit.
“The group, led by one Goodluck Ibem, relied on an alarm allegedly raised by the management of the university, accusing herdsmen of destroying their farm lands and crops, among other concerns.
“The government of Imo, under the leadership of Ihedioha, hereby dissociates itself and entire good people of the state from the said ultimatum.
“Imo government is embarrassed by the development and has taken steps to prevent a breakdown of law and order in the state,” the release stated.
Onyeukwu stated that while efforts were on to ensure that the concern raised by the management of the university was addressed, the state government “shall not tolerate a situation where individuals take the laws into their hands.
“For the avoidance of doubt, citizens of Imo are very peaceful, hospitable and have always enjoyed cordial relationship with neighbours and strangers in the state.
“Imolites are at peace with residents and have no axe to grind with anyone living or doing business in the state, as long as such transactions do not in any way violate the laws of the land or constitute public nuisance,” Onyeukwu further stated.
He urged the general public to disregard the report and go about their normal businesses without fear of molestation.
(NAN)


Greenhouse gases surge to record in 2018, exceeding 10-year average rate: UN
GENEVA: Greenhouse gases in the atmosphere hit a new record in 2018, rising faster than the average rise of the last decade and cementing increasingly damaging weather patterns, the World Meteorological Organization (WMO) said on Monday (Nov 25).
The UN agency's Greenhouse Gas Bulletin is one of a series of studies to be published ahead of a UN climate change summit being held in Madrid next week, and is expected to guide discussions there. It measures the atmospheric concentration of the gases responsible for global warming, rather than emissions.
"There is no sign of a slowdown, let alone a decline, in greenhouse gases' concentration in the atmosphere - despite all the commitments under the Paris Agreement on Climate Change," said WMO Secretary-General Petteri Taalas.
"This continuing long-term trend means that future generations will be confronted with increasingly severe impacts of climate change, including rising temperatures, more extreme weather, water stress, sea level rise and disruption to marine and land ecosystems."
READ: Australian PM denies climate link as smoke chokes Sydney
READ: Planned fossil fuel output swamps Paris climate goals
The concentration of carbon dioxide, a product of burning fossil fuels that is the biggest contributor to global warming, surged from 405.5 parts per million in 2017 to 407.8 ppm in 2018, exceeding the average rate of increase of 2.06 ppm in 2005-2015, the WMO report said.
Irrespective of future policy, carbon dioxide stays in the atmosphere for centuries, locking in warming trends.
"It is worth recalling that the last time the Earth experienced a comparable concentration of CO2 was 3-5 million years ago," Taalas said.
Levels of methane - a much more potent greenhouse gas than CO2 - and nitrous oxide also hit new records, the report said.
The UN Environment Programme's annual "emissions gap" report, due on Tuesday, assesses whether countries’ emissions reduction policies are enough.


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Modules¶
func_test.py module¶
The module was used as an example of a functional test using selenium.
-
func_test
() → None¶ - Variables
safari (webdriver) – Used to operate the safari web-browser
localhost_8000 (string) – Holds the localhost url with port number
test_text (string) – Hold what string you would like tested
- Raises
assertion – Raised if test_text is not in the page source
- Returns
None
tests.py module¶
This module is used for creating functional and unit tests.
To run this module use the following command: ‘python manage.py test’
-
class
FunctionalTest
(methodName='runTest')¶ -
open_homepage
() → None¶ This function opens the homepage.
- Variables
url (string) – Holds the url with port number as a string
- Returns
None
-
setUp
() → None¶ Hook method for setting up the test fixture before exercising it.
- Variables
self.safari (webdriver) – Used to operate the safari web-browser
- Returns
None
-
tearDown
() → None¶ Hook method for deconstructing the test fixture after testing it.
- Returns
None
-
test_hash_of_hello
() → None¶ This function inputs the text ‘hello’ and checks if the output hash is correct
- Variables
element_id (string) – Contains an element id in the form of a string
test_text (string) – Contains a string to input
element_name (string) – Contains an element name in the form of a string
hash_test (string) – Contains a hash value in the form of a string
- Returns
None
-
test_there_is_a_hompage
() → None¶ This function is used to test if there is a homepage.
- Variables
test_text (string) – Hold what string you would like tested
- Raises
assertion – Raised if test_text is not in the page source
- Returns
None
-
-
class
UnitTest
(methodName='runTest')¶ -
create_response
(url=None)¶ Creates response for testing
- Parameters
url – Url used to assign generated response.
- Returns
response
-
test_bad_data
()¶ tests if error raises if bad information is given for hash value
-
test_hash_form
()¶ Tests if there is a form created for hashing
- Variables
form (form) – Hash form template
test_dict (dictionary) – holds test data
- Raises
assertion – Raised if hash form template is not found.
- Returns
None
-
test_hash_func_works
()¶ Tests if the hash function works when input value is hello.
- Variables
test (tuple) – holds the values we are testing, produced by hash_to_test().
text_hash (string) – hold result of hash function from hashlib
- Raises
assertion – Raised if hash_test and text_hash is not equal.
- Returns
None
-
test_hash_object
()¶
-
test_home_homepage_template
()¶ - Variables
home_url (string) – holds the url to the homepage.
response (response) – holds a get response.
home_template (string) – holds the template location of the homepage template
- Raises
assertion – Raised if template homepage is not found.
- Returns
None
-
test_viewing_hash
()¶ Tests if you can view the hash as a response
-
-
create_hash_db
()¶ Creates database entry based on information supplied in hash_to_test function
-
hash_to_test
()¶ Easy way to create test data for hash to test.
- Variables
text_test (string) – holds test text
text_format (string) – holds format for test text
hash_text (string) – holds test hash
- Returns
test data array that contains text, format of text, hash.
settings.py module¶
Django settings for hashthat project.
Generated by ‘django-admin startproject’ using Django 3.0.1.
For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/
- Modifications:
INSTALLED_APPS: hashing
config.py module¶
Configuration file for the Sphinx documentation builder.
This file only contains a selection of the most common options. For a full list see the documentation: https://www.sphinx-doc.org/en/master/usage/configuration.html
Modifications:
Uncommented import os, import sys, sys.path.insert(0, os.path.abspath(‘../../’))
added extensions - ‘sphinx.ext.autodoc’
added add_module_names = False
- set up django documentation
import django - imports django module
sys.path.append(os.path.abspath(‘../’)) - makes the django root director a path to use for os.eviron.setdefault. Use this command if your sphinx config file is not pointed directly to the root of the django project.
os.environ.setdefault(“DJANGO_SETTINGS_MODULE”, “hashthat.settings”) - makes the setting file in your django app the default setting files for the django module. If this part is causing errors when using make settings saying that your django app is not a module and you are sure you are spelling it right, then the problem is that sys.path is not storing your django root folder and it needs to be appended to it.
django.setup() - setup sphinx with the django environment so it can document your django project successful.
url.py module¶
hashthat URL Configuration
- The urlpatterns list routes URLs to views. For more information please see:
- Examples:
- Function views
Add an import: from my_app import views
Add a URL to urlpatterns: path(‘’, views.home, name=’home’)
- Class-based views
Add an import: from other_app.views import Home
Add a URL to urlpatterns: path(‘’, Home.as_view(), name=’home’)
- Including another URLconf
Import the include() function: from django.urls import include, path
Add a URL to urlpatterns: path(‘blog/’, include(‘blog.urls’))
Modifications:
added ‘import hashing.views’
added urlpatterns - ‘path(‘’, hashing.views.home, name=’home’)’, path(‘hash/<str:hash>’, hashing.views.hash, name=’hash’)
views.py module¶
This module is used to produce web-pages and handle requests.
-
hash
(request, hash)¶ Renders hash/<str:hash>
-
home
(request)¶ Creates the homepage.
- Parameters
request – request from client.
- Variables
filled_form (form) – holds filled out form data from the request.POST
text (string) – holds cleaned form data associated with key ‘text’
form (form) – Hash form form.
template (string) – holds homepage html template.
context (dictionary) – holds items to add to html when rendered.
to (string) – holds place to redirect the user to.
- Returns
Rendered homepage with whatever context necessary.
- Returns
For POST requests redirects user to hash page with information about the hash
forms.py module¶
This modules handles all the forms for the hashing web-app.
-
class
HashForm
(data=None, files=None, auto_id='id_%s', prefix=None, initial=None, error_class=<class 'django.forms.utils.ErrorList'>, label_suffix=None, empty_permitted=False, field_order=None, use_required_attribute=None, renderer=None)¶ Creates textbox to accept user input.
- Variables
text (form) – hold form text area.


Address
Room No: ME313 , Mechanical Department , Mechanical Sciences Building, NIT Rourkela NIT Rourkela, Odisha
Email Address
tiburonnitr@gmail.com


{{selectedItem.request}}
{{selectedItem.response}}
Waiting for requests on http://localhost:{{proxyPort}}/ Proxying {{targetURL}}


Class SimplePriorityQueue<TItem, TPriority>
A simplified priority queue implementation. Is stable, auto-resizes, and thread-safe, at the cost of being slightly slower than FastPriorityQueue
Inheritance
Inherited Members
Namespace: System.Dynamic.ExpandoObject
Syntax
public class SimplePriorityQueue<TItem, TPriority> : IPriorityQueue<TItem, TPriority> where TPriority : IComparable<TPriority>
Type Parameters
|
TItem
The type to enqueue |
|
TPriority
The priority-type to use for nodes. Must extend IComparable<TPriority> |
Constructors
SimplePriorityQueue()
Declaration
public SimplePriorityQueue()
Properties
Count
Returns the number of nodes in the queue. O(1)
Declaration
public int Count { get; }
Property Value
|
System.Int32
|
Implements
First
Returns the head of the queue, without removing it (use Dequeue() for that). Throws an exception when the queue is empty. O(1)
Declaration
public TItem First { get; }
Property Value
|
TItem
|
Implements
Methods
Clear()
Removes every node from the queue. O(n)
Declaration
public void Clear()
Implements
Contains(TItem)
Returns whether the given item is in the queue. O(n)
Declaration
public bool Contains(TItem item)
Parameters
|
TItem
item
|
Returns
|
System.Boolean
|
Implements
Dequeue()
Removes the head of the queue (node with minimum priority; ties are broken by order of insertion), and returns it. If queue is empty, throws an exception O(log n)
Declaration
public TItem Dequeue()
Returns
|
TItem
|
Implements
Enqueue(TItem, TPriority)
Enqueue a node to the priority queue. Lower values are placed in front. Ties are broken by first-in-first-out. This queue automatically resizes itself, so there's no concern of the queue becoming 'full'. Duplicates are allowed. O(log n)
Declaration
public void Enqueue(TItem item, TPriority priority)
Parameters
|
TItem
item
|
|
TPriority
priority
|
Implements
GetEnumerator()
Declaration
public IEnumerator<TItem> GetEnumerator()
Returns
|
IEnumerator<TItem>
|
IsValidQueue()
Declaration
public bool IsValidQueue()
Returns
|
System.Boolean
|
Remove(TItem)
Removes an item from the queue. The item does not need to be the head of the queue.
If the item is not in the queue, an exception is thrown. If unsure, check Contains() first.
If multiple copies of the item are enqueued, only the first one is removed.
O(n)
Declaration
public void Remove(TItem item)
Parameters
|
TItem
item
|
Implements
UpdatePriority(TItem, TPriority)
Call this method to change the priority of an item. Calling this method on a item not in the queue will throw an exception. If the item is enqueued multiple times, only the first one will be updated. (If your requirements are complex enough that you need to enqueue the same item multiple times and be able to update all of them, please wrap your items in a wrapper class so they can be distinguished). O(n)
Declaration
public void UpdatePriority(TItem item, TPriority priority)
Parameters
|
TItem
item
|
|
TPriority
priority
|


ESCAPE FROM L.A. A film review by Serdar Yegulalp Copyright 1997 Serdar Yegulalp
CAPSULE: A giddy, wild sci-fi farce that keys in on a ROBOCOP-style view of the future and contains more laughs than you might expect.
The original ESCAPE FROM NEW YORK was a halfway-serious futuristic thriller that turned Manhattan Island into a giant maximum security prison, and then dumped the President of the United States into it. To rescue him, we had one-eyed Snake Plissken (Kurt Russell, who up until then had a roster mostly of Disney movies), and the combination of fairly unique ingredients made the movie a long-standing pulp-SF-and-fratboy favorite.
ESCAPE FROM L.A. is not simply a sequel, but a sly self-parody that has endless fun inverting the same conventions it seems born to exploit. There are some scenes that are just impossible to take straight: how about Peter Fonda teaching Snake how to catch a tube in what looks like the post-apocalypse version of Big Sur? Or a basketball game to the death? Or a plastic surgery clinic filled with Beverly Hills zombies?
The plot is the thinnest of excuses onto which to graft one weirdly hilarious sequence after another. The President (a far-right lunatic) drafts Plissken for a mission: rescue his daughter, who's absconded with the control block for a doomsday device. She's hijacked Air Force Three and sent it screaming right into the heart of L.A. -- which in this world, has not only been forcibly seperated from the rest of the country by an earthquake, but is a dumping ground for "undesirables" (i.e., anyone who would look even slightly out of place in a Norman Rockwell painting). You have the choice of deportation or electrocution at the border.  Nice of them to think of everything.
We're in overdrive right from the start. Snake is jammed into a one-man sub and shot at L.A., and skims across all manner of submerged and trashed landmarks. If you live in the area, you're guaranteed a few laughs at seeing your least favorite eyesores in ruins. (The biggest eyesore of all is at the very end of the movie, along with a line of dialogue that will convulse all comers. I am not ruining that one.)
EFLA is almost like a slightly bigger-budgeted version of the kinds of SF movies that used to come out more often, like REPO MAN and ANDROID. While EFLA isn't nearly as much of a real cult item as the former or as emotionally involving as the latter, it's nice to see that John Carpenter still has a good soupcon of the anarchist/indie-producer spirit in him. The last scene in the movie should be a clear indication of that -- it leaves us wide open for endless possibilities. Like, say, ESCAPE FROM PLANET EARTH. Heh heh heh.
Three out of four eyepatches.
<EMAIL_ADDRESS>EFNet IRC: GinRei http://serdar.home.ml.org another worldly device...
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Topological Ordering of Animal Species
Contents
set(0, 'DefaultFigurePosition', get(0,'screensize')); clc; clear; close all;
Introduction
Units If we were to use RBF units, we would have for every unit an activation:
and the winner unit would be the one that has the highest activation value.
Here we use simpler units, based on distance only:
and the winner unit is the one that has the lowest activation value.
Neighborood We are using a one dimensional topology, i.e. the neurons are arranged sequentially one after the other and given a winner, we will update all the units that are closer than a certain number of 'hops' to it.
% TODO add stuff about "the neuron that wins keeps winning"
Clustering with 100 units
Setup
The weights matrix contains a 84D vector for every one of the 100 units, each weight is a row of the matrix.
animals; num_of_epochs = 20; eta = 0.2; [num_of_animals, num_of_features] = size(props); num_of_units = 100; weights = rand(num_of_units, num_of_features);
Training
for epoch = 1:num_of_epochs neighborhood_size = (num_of_epochs - epoch + 1)*2; for animal_idx = 1:num_of_animals % Find the winner p = props(animal_idx, :); diff = repmat(p, num_of_units, 1) - weights; dist = sum(diff.^2, 2); [~, winning_unit] = min(dist); % Update mask update_function = zeros(num_of_units, num_of_features); neighboor_min = max(1, winning_unit - neighborhood_size); neighboor_max = min(num_of_units, winning_unit + neighborhood_size); update_function(neighboor_min : neighboor_max, :) = 1; % Update weights weights = weights + update_function .* (eta * diff); end end
Result
We see how many of the units are unused.
clustering = zeros(32, 1); for animal_idx = 1:num_of_animals p = props(animal_idx, :); diff = repmat(p, num_of_units, 1) - weights; dist = sum(diff.^2, 2); [~, winning_unit] = min(dist); clustering(animal_idx) = winning_unit; end [~, order] = sort(clustering); table(snames(order)', clustering(order),'VariableNames',{'Animal', 'Cluster'})
ans = Animal Cluster _____________ _______ 'camel' 1 'giraffe' 1 'pig' 1 'horse' 4 'antelop' 7 'kangaroo' 9 'rabbit' 11 'elephant' 14 'bat' 17 'rat' 20 'skunk' 23 'cat' 27 'lion' 27 'ape' 30 'dog' 35 'bear' 38 'hyena' 39 'walrus' 46 'crocodile' 53 'seaturtle' 54 'frog' 59 'ostrich' 64 'penguin' 67 'duck' 73 'pelican' 73 'spider' 80 'moskito' 87 'housefly' 90 'butterfly' 93 'dragonfly' 97 'beetle' 100 'grasshopper' 100
Plotting
figure; imagesc(props(:,:)); title('Feature map of the animals (unsorted)'); grid on; grid minor; set(gca,'ytick',1:32); set(gca,'yticklabels',snames); set(gca,'xtick',1:4:84); figure; imagesc(props(order,:)); title('Feature map of the animals (sorted)'); grid on; grid minor; set(gca,'ytick',1:32); set(gca,'yticklabels',snames(order)); set(gca,'xtick',1:4:84);
Clustering with 15 units
We get nicer results with 15 units (less units than inputs)
animals; num_of_epochs = 20; eta = 0.2; [num_of_animals, num_of_features] = size(props); num_of_units = 15; weights = rand(num_of_units, num_of_features); for epoch = 1:num_of_epochs neighborhood_size = (num_of_epochs - epoch + 1)*2; for animal_idx = 1:num_of_animals p = props(animal_idx, :); diff = repmat(p, num_of_units, 1) - weights; dist = sum(diff.^2, 2); [~, winning_unit] = min(dist); % Update function update_function = zeros(num_of_units, num_of_features); neighboor_min = max(1, winning_unit - neighborhood_size); neighboor_max = min(num_of_units, winning_unit + neighborhood_size); update_function(neighboor_min : neighboor_max, :) = 1; % Update weights weights = weights + update_function .* (eta * diff); end end clustering = zeros(32, 1); for animal_idx = 1:num_of_animals p = props(animal_idx, :); diff = repmat(p, num_of_units, 1) - weights; dist = sum(diff.^2, 2); [~, winning_unit] = min(dist); clustering(animal_idx) = winning_unit; end [~, order] = sort(clustering); table(snames(order)', clustering(order),'VariableNames',{'Animal', 'Cluster'})
ans = Animal Cluster _____________ _______ 'antelop' 1 'camel' 1 'elephant' 1 'giraffe' 1 'horse' 1 'kangaroo' 1 'pig' 1 'rabbit' 2 'rat' 2 'bat' 3 'skunk' 3 'bear' 5 'cat' 5 'dog' 5 'hyena' 5 'lion' 5 'walrus' 6 'ape' 7 'crocodile' 8 'frog' 8 'seaturtle' 8 'duck' 11 'ostrich' 11 'pelican' 11 'penguin' 11 'spider' 14 'beetle' 15 'butterfly' 15 'dragonfly' 15 'grasshopper' 15 'housefly' 15 'moskito' 15
clc; clear; close all;


Interface StreamingRecognitionResultOrBuilder
{% verbatim %}public interface StreamingRecognitionResultOrBuilder extends MessageOrBuilder
Implements
com.google.protobuf.MessageOrBuilderMethods
getAlternatives(int index)
public abstract SpeechRecognitionAlternative getAlternatives(int index)
May contain one or more recognition hypotheses (up to the
maximum specified in `max_alternatives`).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1p1beta1.SpeechRecognitionAlternative alternatives = 1;
| Type | Name | Description |
|---|---|---|
| int | index |
| Type | Description |
|---|---|
| SpeechRecognitionAlternative |
getAlternativesCount()
public abstract int getAlternativesCount()
May contain one or more recognition hypotheses (up to the
maximum specified in `max_alternatives`).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1p1beta1.SpeechRecognitionAlternative alternatives = 1;
| Type | Description |
|---|---|
| int |
getAlternativesList()
public abstract List<SpeechRecognitionAlternative> getAlternativesList()
May contain one or more recognition hypotheses (up to the
maximum specified in `max_alternatives`).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1p1beta1.SpeechRecognitionAlternative alternatives = 1;
| Type | Description |
|---|---|
| java.util.List<SpeechRecognitionAlternative> |
getAlternativesOrBuilder(int index)
public abstract SpeechRecognitionAlternativeOrBuilder getAlternativesOrBuilder(int index)
May contain one or more recognition hypotheses (up to the
maximum specified in `max_alternatives`).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1p1beta1.SpeechRecognitionAlternative alternatives = 1;
| Type | Name | Description |
|---|---|---|
| int | index |
| Type | Description |
|---|---|
| SpeechRecognitionAlternativeOrBuilder |
getAlternativesOrBuilderList()
public abstract List<? extends SpeechRecognitionAlternativeOrBuilder> getAlternativesOrBuilderList()
May contain one or more recognition hypotheses (up to the
maximum specified in `max_alternatives`).
These alternatives are ordered in terms of accuracy, with the top (first)
alternative being the most probable, as ranked by the recognizer.
repeated .google.cloud.speech.v1p1beta1.SpeechRecognitionAlternative alternatives = 1;
| Type | Description |
|---|---|
| java.util.List<? extends com.google.cloud.speech.v1p1beta1.SpeechRecognitionAlternativeOrBuilder> |
getChannelTag()
public abstract int getChannelTag()
For multi-channel audio, this is the channel number corresponding to the
recognized result for the audio from that channel.
For audio_channel_count = N, its output values can range from '1' to 'N'.
int32 channel_tag = 5;
| Type | Description |
|---|---|
| int | The channelTag. |
getIsFinal()
public abstract boolean getIsFinal()
If `false`, this `StreamingRecognitionResult` represents an
interim result that may change. If `true`, this is the final time the
speech service will return this particular `StreamingRecognitionResult`,
the recognizer will not return any further hypotheses for this portion of
the transcript and corresponding audio.
bool is_final = 2;
| Type | Description |
|---|---|
| boolean | The isFinal. |
getLanguageCode()
public abstract String getLanguageCode()
Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)
language tag of the language in this result. This language code was
detected to have the most likelihood of being spoken in the audio.
string language_code = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Type | Description |
|---|---|
| java.lang.String | The languageCode. |
getLanguageCodeBytes()
public abstract ByteString getLanguageCodeBytes()
Output only. The [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)
language tag of the language in this result. This language code was
detected to have the most likelihood of being spoken in the audio.
string language_code = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Type | Description |
|---|---|
| com.google.protobuf.ByteString | The bytes for languageCode. |
getResultEndTime()
public abstract Duration getResultEndTime()
Time offset of the end of this result relative to the
beginning of the audio.
.google.protobuf.Duration result_end_time = 4;
| Type | Description |
|---|---|
| com.google.protobuf.Duration | The resultEndTime. |
getResultEndTimeOrBuilder()
public abstract DurationOrBuilder getResultEndTimeOrBuilder()
Time offset of the end of this result relative to the
beginning of the audio.
.google.protobuf.Duration result_end_time = 4;
| Type | Description |
|---|---|
| com.google.protobuf.DurationOrBuilder |
getStability()
public abstract float getStability()
An estimate of the likelihood that the recognizer will not
change its guess about this interim result. Values range from 0.0
(completely unstable) to 1.0 (completely stable).
This field is only provided for interim results (`is_final=false`).
The default of 0.0 is a sentinel value indicating `stability` was not set.
float stability = 3;
| Type | Description |
|---|---|
| float | The stability. |
hasResultEndTime()
public abstract boolean hasResultEndTime()
Time offset of the end of this result relative to the
beginning of the audio.
.google.protobuf.Duration result_end_time = 4;
| Type | Description |
|---|---|
| boolean | Whether the resultEndTime field is set. |


Download the firmware for your devices. You can read about installing the firmwares in the documentation.


@(userName: String, totalCount: Integer) @import helper._ @import cmn._ @base("Thank Back") {
Select how wishes should be acknowledged
Currently selected posts are


Specify conditions for cluster creation.
- Keypair
-
When the selected cluster template contains keypair, user can either provide a new keypair
for the cluster or inherit one from the cluster template. When the selected cluster template
has no keypair attached, user has to provide a keypair for the cluster.


First Look At John Constantine: Hellblazer #1
by Blair MarnellJohn Constantine is dead. Or at least he was. When dealing with magic, it’s hard to say that anything is absolute. Earlier this week, The Sandman Universe Presents: Hellblazer #1 brought back the original John Constantine. This is the Constantine who headlined 300 issues of Vertigo’s Hellblazer comic before his untimely demise. Later this month, Simon Spurrier and artist Aaron Campbell are continuing the story in John Constantine: Hellblazer #1. DC has also dropped nine pages from the first issue, as a taste of the horror that awaits John in his new life.
“The biggest difference he’s facing…is simply that he’s been away for long enough that he’s now a stranger in his own life,” said Spurrier while speaking with The Hollywood Reporter. “There are monsters and fools in charge of the world, and where once he had a near-endless Rolodex of old mates and lovers on whom he could rely for help, and whom he would almost inevitably betray for the greater good, he’s now on his own. ‘I’m not lonely,’ as he says in issue 1, lying through his teeth. ‘I like being on my own.’ Oh, John.”
“We all know someone like Constantine,” added Spurrier. “He’s a collector of people. The life and soul of the party, because as long as he feels like people admire him — as long as he has a circle to make him feel wanted — he doesn’t have to think about all the terrible things he’s done, and all the terrible things he will absolutely, invariably, inevitably continue to do.”
RELATED: First Look At Amazing Spider-Man: Full Circle #1
Here’s the official description from DC.
“The original Constantine is back in a new series from Simon Spurrier (The Dreaming) and Aaron Campbell (Infidel), with nothing to his name but decades of bad memories and an unearned second chance. How, exactly, will he squander it? There’s only one way to find out…
John Constantine is back in London, back to his old tricks-and just in time, as things have become very dark indeed in his old stomping grounds. A small-time gang lord has found himself dealing with a big-time outbreak of supernatural weirdness…and without any allies to call on and nothing left to call his own, John doesn’t have much choice about taking a paycheck from one of London’s worst, or accepting the help of one of the gang lord’s would-be foot soldiers. But what should be an open-and-shut exorcism turns out to be nothing but…and the author of this madness may just be getting started on their terrible masterpiece!”
You can read the full preview in our gallery below.John Constantine: Hellblazer #1 will hit comic book stores on Wednesday, November 27.
What did you think about the preview? Let us know in the comment section below!
Recommended Reading: John Constantine, Hellblazer, Vol. 1: Original Sins
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Here are the three things you need to know to understand how to read a treemap:
Treemaps show hierarchical data.
Treemaps are often used to show hierarchical data in which each "parent" can have many "children" but each "child" only has one "parent". A good example of this type of data is the biological classification of species, which starts with Kingdom at the highest level, followed by Phylum, Class, Order, Family, Genus, and finally Species. Most treemaps have fewer layers, like the SmartMoney Map of the Market which classifies publicly traded companies into industries, resulting in just two levels (i.e. industry, company).
Treemaps show two measures simultaneously using the size and color of boxes.
Size of the boxes represent a quantity measure where the individual box sizes must sum up to the category in which they exist. Think of a series of pie charts wherein all the slices of each pie chart must add up to the whole, precluding the use of growth rates or dates or any other data that doesn't aggregate.
Color in a treemap is used to show a range of values distinct from the size measure. Color is better suited to a measure of performance or change such as growth over time, average conversion rate, or customer satisfaction. Not only does color give an indication of a measure for an individual item in the treemap, the collective heatmap effect conveys a broader understanding the full data set.
Treemaps use interactive features for exploration.
Showing all the data at once in a treemap would overwhelm users and undermine the value of the visualization. To reveal data gradually as the user expresses interest, most treemaps offer interactive features including: 1) selectors to let the user decide what the size and color should represent; 2) zooming to allow the user to drill-in to layers, simultaneously narrowing the scope the data and revealing deeper layers; 3) detailed data about an individual branch or leaf presented as a tooltip or area outside the treemap; 4) highlighting of specified items based on a user search or selection.
Given their ability to show a comprehensive view of a system in an structured fashion, treemaps can be very instructive. The easiest thing to pick out are the items that are both big (by size of the box) and bad (by color intensity). For example, if you have a treemap of financial costs for your organization, the big, red colored boxes are going to be the costs that are worth your attention and changing significantly.


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When people initially work with Ruby and Arrays, what they usually do not know is that Ruby belongs to the Enumerable module. The actual word Enumerable means "able to be counted by one-to-one correspondence with the set of all positive integers." What that means in lay man's terms is that you have a set of items that can be uniquely paired with a positive number. Thus, an array, with a finite number of items that it contains is "enumerable."
Since the Array class is part of the Enumerable module, it inherits many of the methods that are built into Enumerables. One of the more useful ones that is available is the map method.
In mathematics, a function maps an x variable to a y variable. These functions creates the graphs that we learned in junior high and high school. You remember these, right? You would have something that said y = 2x + 1. Thus, for any given 'x' value there was one y value associated with it. So for the graph y = 2x + 1, if x = 1 then y = 3 and that is the only y value associated with x = 1. Thus x = 1 maps to y = 3.
Thinking of this similarly, this means if we have an array of something each element of our array can map to something that we designate. If we have an array [1,2,3] and we want to create an array [2,3,4] we can map each of the elements to something that is one bigger than it. See how we do it below
Can you see what we have done? We took each element of the original array, added one to it, and we created the array we desired.
You may wonder how map differs from each. One solution from Stack Overflow is helpful to look at
Notice how map returns a new array that it mapped to, while each returns the original array.
It's impossible to go through every instance of when to use it, but the principle of how to use it should hopefully be clear.


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In the North American flute the area where where air is directed over the splitting edge to set up the resonance to produce sound is called the birds nest.
This is the most important part of a flute and very subtle changes in its dimensions can produce wildly different results. The image below should give you an idea of the principle.
The dimensions used for the channel (width, height and profile), the sizes of the openings, the angle and position of the cutting edge in the air stream are all critical and vary according to flute being made and its desired characteristics.
I will give some rules of thumb as guidelines:
| Parameter | Ballpark value |
|---|---|
| Splitting edge angle | 30 - 45 deg |
| Channel height | 1/2 mm - 1 mm |
| Channel length | 20 - 30mm |
| TSH width | Up to 1/2 bore diameter |
| TSH length | 6 * airstream channel height |
These are purely suggestions and you are encouraged to experiment produce many fire sticks on your own. Bamboo is ideal for this as it is cheap to buy and already has a bore, greatly reducing the costs in time and money while you get a feel for how each parameter affects the instruments sound. Be sure to start small and slowly increase values as you voice an instrument, its easier to cut bits off than to stick them back on. There is also some fairly involved mathematics that that can be used to calculate the values if you are that way inclined.
For discussion, debate and further ideas I refer you to the NAFlute forums.
I begin by taking my bamboo and making two saw cuts either side of a node. These cuts are only a few millimeters deep, you don’t want to cut through the wall!
I then use a chisel to flatten the area between the two cuts. It is vital that this area is worked util completely flat and is wide enough for your desired channel and splitting edge.
I like to make this area just long enough that I can use a small engineers square to check the flatness.
Next the geometry of the nest is marked first in pencil and then with a knife.
I start by cutting out the channel now to a shallow depth using a chisel. Final shaping and finishing for this and other components should be left until you are voicing the instrument, but try to get a smooth and consistent depth for now.
Next drill some holes where the air will enter the channel and for the true sound hole (TSH). Use a small knife and files to enlarge the holes and make undercuts for the splitting edge and where the airstream enters the channel.
Finally mark, score, and chisel the top half of the airstreams channel into the base of the bird.
You can see some of my bamboo flutes on Google+ and for sale on etsy.
Also check out my OpenBazaar listings.


Here is some information about me.
Here is some more information about me.
So much stuff you didn't know, right?