Examples¶
This chapter provides hands-on examples of some common tasks in GeoMesa, including the management of registered feature types in a data store, ingest of data, and export of data in a variety of formats.
Feature Type Management¶
Creating a feature type¶
To begin, let’s start by creating a new feature type in GeoMesa with the
create
command. The create
command takes three required and one
optional flag:
Required
-c
or--catalog
: the name of the catalog table-f
or--feature-name
: the name of the feature-s
or--spec
: theSimpleFeatureType
specification
Optional
-dtg
: the default date attribute of theSimpleFeatureType
Run the command:
$ geomesa create -u <username> -p <password> \
-c cmd_tutorial \
-f feature \
-s fid:String:index=true,dtg:Date,geom:Point:srid=4326 \
-dtg dtg
This will create a new feature type, named “feature”, on the GeoMesa catalog table “cmd_tutorial”. The catalog table stores metadata information about each feature, and it will be used to prefix each table name in Accumulo.
If the above command was successful, you should see output similar to the following:
Creating 'cmd_tutorial_feature' with spec 'fid:String:index=true,dtg:Date,geom:Point:srid=4326'. Just a few moments...
Feature 'cmd_tutorial_feature' with spec 'fid:String:index=true,dtg:Date,geom:Point:srid=4326' successfully created.
Now that you’ve seen how to create feature types, create another feature
type on catalog table “cmd_tutorial” using your own first name for the
--feature-name
and the above schema for the --spec
.
Listing known feature types¶
You should have two feature types on catalog table “cmd_tutorial”. To
verify, we’ll use the list
command. The list
command takes one
flag:
-c
or--catalog
: the name of the catalog table
Run the following command:
$ geomesa list -u <username> -p <password> -c cmd_tutorial
The output text should be something like:
Listing features on 'cmd_tutorial'. Just a few moments...
2 features exist on 'cmd_tutorial'. They are:
feature
gdelt
Finding the attributes of a feature type¶
To find out more about the attributes of a feature type, we’ll use the
describe
command. This command takes two flags:
-c
or--catalog
: the name of the catalog table-f
or--feature-name
: the name of the feature type
Let’s find out more about the attributes on our first feature type. Run the command
$ geomesa describe -u <username> -p <password> -c cmd_tutorial -f feature
The output should look like:
Describing attributes of feature 'cmd_tutorial_feature'. Just a few moments...
fid: String (Indexed)
dtg: Date (Time-index)
geom: Point (Geo-index)
Deleting a feature type¶
Continuing on, let’s delete the first feature type we created with the
removeschema
command. The removeschema
command takes two flags:
-c
or--catalog
: the name of the catalog table-f
or--feature-name
: the name of the feature to delete
Run the following command:
geomesa removeschema -u <username> -p <password> -c cmd_tutorial -fn feature
NOTE: Running this command will take a bit longer than the previous two, as it will delete three tables in Accumulo, as well as remove the metadata rows in the catalog table associated with the feature.
The output should resemble the following:
Remove schema feature from catalog cmd_tutorial? (yes/no): yes
Starting
State change: CONNECTED
Removed feature
Ingesting Data¶
GeoMesa Tools is a set of command line tools to add feature management functions, query planning and explanation, ingest, and export abilities from the command line. In this tutorial, we’ll cover how to ingest and export features using GeoMesa Tools.
Getting Data¶
For this tutorial we will be using the GDELT data set, available here: http://data.gdeltproject.org/events/index.html. Download any daily data file, for example:
20160119.export.CSV.zip
and unzip the file on your computer.
Note
The unpacked files have *.CSV
extensions but the data within them are
actually tab separated.
Ingesting Features¶
The ingest command currently supports three formats: CSV, TSV, and SHP.
The ingest
command has the following required flags:
-u
or--user
: the Accumulo user-p
or--password
: the Accumulo password (will prompt if omitted)-c
or--catalog
: the name of the GeoMesa catalog table-f
or--feature-name
: the name of the feature to ingest
If $ACCUMULO_HOME
does not contain the configuration of the Accumulo
instance you wish to connect to, you also must specify the connection
parameters for Accumulo:
-i
or--instance
: the Accumulo instance-z
or--zookeepers
: a comma-separated list of Zookeeper hosts
The optional -C
switch lets you specify a converter defined in a JSON-based
instruction file about how to convert the data as GeoMesa reads it. The
converter library handles many of the data transformations necessary to fit a
raw data set into a simple feature type suitable for use in GeoMesa
applications. Conversions can take advantage of a variety of features such as
concatenate()
and stringToInteger()
functions as well as the use of regular
expressions. For more information see Setting up an Ingest Converter below.
The last argument that is required for all ingest commands is the path
to the file to ingest. If ingesting CSV/TSV data this can be an HDFS
path, specified by prefixing it with hdfs://
.
Setting up an Ingest Converter¶
To use the -C
switch, create (or edit) the file
$GEOMESA_HOME/conf/application.conf
, which serves as the converter
configuration file, to add the gdelt
SimpleFeatureType and a converter
gdelt_csv
for reading the data from tab-separated value files:
geomesa {
sfts {
gdelt = {
fields = [
{ name = globalEventId, type = String, index = false}
{ name = eventCode, type = String }
{ name = actor1, type = String }
{ name = actor2, type = String }
{ name = dtg, type = Date, index = true }
{ name = geom, type = Point, srid = 4326 }
]
}
}
converters {
gdelt_tsv = {
type = delimited-text
format = TDF
id-field = "$1" // global event id
fields = [
{ name = globalEventId, transform = "$1" }
{ name = eventCode, transform = "$27" }
{ name = actor1, transform = "$7" }
{ name = actor2, transform = "$17" }
{ name = dtg, transform = "date('yyyyMMdd', $2)" }
{ name = geom, transform = "point(stringToDouble($41, 0.0), $40::double)" }
]
}
}
}
The config file needs to have a SimpleFeatureType
defined along with a
converter that specifies instructions on how to turn the raw data file into
that simple feature type. The geomesa-convert README.md file (in
docs/convert/README.md
in the binary distribution; in
geomesa-convert/README.md
in the source distribution). describes the full
range of functions available.)
This example uses the date()
function to tell the parser what date column
is in. The stringToDouble()
and ::double
functions give two different
methods for type casting. The stringTo<dataType>()
methods take in the
value to be cast as well as a prespecified default that will be returned if
there is an exception, whereas the ::double
function will fail (and drop
the record) if the casting fails.
To confirm that GeoMesa can properly parse your edited
$GEOMESA_HOME/conf/application.conf
file, use geomesa env
:
$ geomesa env
Using GEOMESA_HOME = /path/to/geomesa
Simple Feature Types:
gdelt = globalEventId:String,eventCode:String,actor1:String,actor2:String,dtg:Date:index=join,*geom:Point:srid=4326:index=full:index-value=true
Simple Feature Type Converters:
fields=[
{
name=globalEventId
transform="$1"
},
{
name=eventCode
transform="$27"
},
{
name=actor1
transform="$7"
},
{
name=actor2
transform="$17"
},
{
name=dtg
transform="date('yyyyMMdd', $2)"
},
{
name=geom
transform="point(stringToDouble($41, 0.0), $40::double)"
}
]
format=TDF
# global event id
id-field="$1"
name="gdelt_tsv"
type=delimited-text
Running an Ingest¶
Now that we have everything ready, we will now combine the various parameters into the following complete ingest command:
$ geomesa ingest \
-u <username> -p <password> \
-i <instance> -z <zookeepers> \
-c gdelt -s gdelt \
-C gdelt_tsv \
/path/to/<gdelt-data-file>.csv
<username>
and <password>
are the credentials associated with
the Accumulo instance. <instance>
and <zookeepers>
are the
connection parameters for Accumulo, if this is not specified in the
configuration files in $ACCUMULO_HOME
.
Exporting Features¶
Let’s export your newly ingested features in a couple of file formats.
Currently, the export
command supports exports to CSV, TSV,
Shapefile, GeoJSON, and GML. We’ll do one of each format in this next
section.
The export
command has 3 required flags:
-c
or--catalog
: the name of the catalog table-f
or--feature-name
: the name of the feature to export-F
or--format
: the output format (csv
,tsv
,shp
,geojson
, orgml
)
Additionally, you can specify more details about the kind of export you
would like to perform with optional flags for export
:
-a
or--attributes
: the attributes of the feature to return-m
or--max-features
: the maximum number of features to return in an export-q
or--query
: a CQL query to perform on the features, to return only subset of features matching the query
We’ll use the --max-features
flag to ensure our dataset is small and
quick to export. First, we’ll export to CSV with the following command:
$ geomesa export -u <username> -p <password> -c gdelt_Ukraine -fn gdelt -fmt csv -max 50
# or specifying Accumulo configuration explicitly:
$ geomesa export -u <username> -p <password> \
-i <instance> -z <zookeepers> \
-c gdelt -f gdelt \
-f csv -m 50
This command will output the relevant rows to the console. Inspect the rows now, or pipe the output into a file for later review.
Now, run the above command four additional times, changing the
--format
flag to tsv
, shp
, json
, and gml
. The
shp
format also requires the -o
option to specify the name of an
output file.


JS Practise
Please fill the form to add to the table :
New Employee :
First Name :
Last Name :
Age :
Department :
-select-
administration
financial
Manufacturing
Maintenance
Salary :
Phone Number :


Neil Hall
I am a Jamaican and the proud father of two children Daughter (11yrs) and Son (4yrs)
I am driven to be the best that I can be and overcome all challenges.I am presently a Customer Retention Specialist CRS
ResumeI am a Jamaican and the proud father of two children Daughter (11yrs) and Son (4yrs)
I am driven to be the best that I can be and overcome all challenges.I am presently a Customer Retention Specialist CRS
Resume


ABSOLUTE POWER
A Film Review by Brian Takeshita
Rating: **1/2 out of ****
In ABSOLUTE POWER, Clint Eastwood plays Luther Whitney, an expert cat burglar who breaks into a mansion, but is caught in the master bedroom when people show up unexpectedly. Hiding behind a two-way mirror, he witnesses an older man and a younger woman enter the room and begin to engage in romance, which soon turns rough. It quickly turns too rough and when the woman protests and struggles to get away, the man becomes violent, striking her and wrestling her to the ground. In the entanglement, the woman grabs a letter opener and attempts to stab the man. The man cries out for help, and two other men burst in on the couple and shoot the woman dead. The gunmen are Secret Service agents; the other man is the President of the United States.
After the woman is shot, the President's chief of staff (Judy Davis) rushes in and immediately starts damage control. The woman's death must be made to look like she was shot by an intruder in her home. We quickly realize that it is not so much the death that must be covered up, but rather the circumstances surrounding the death. Shooting a person to defend the President is always justifiable, but doing so in the midst of an affair involving the President could cause a lot of problems. This is an interesting premise to say the least: The cover-up of a presidentially justifiable homicide as a means to a political end. It's focus on the President of the United States is equally intriguing. Movies in the past have given us scandals, conspiracies, and even murders close to the presidency, but rarely have they actually involved the President himself.
Unfortunately, the premise does not live up to its potential. Instead of showing us some of the myriad ways the unique and all-encompassing powers of the presidency could be used for self-serving goals, ABSOLUTE POWER quickly falls right into line with any number of thrillers. The two Secret Service agents find out that Luther, whom they chase from the mansion, has taken a key piece of evidence which could provide undeniable proof that President Alan Richmond (Gene Hackman) was involved in the woman's murder. The rest of the film concerns itself with the Secret Service's attempts to hunt Luther down, and does so in the same ways we've seen before.
Whereas the storyline is the movie's main liability, the cast is the movie's main asset: Clint Eastwood, Gene Hackman, Ed Harris, and Scott Glenn comprise this formidable lineup. However, although the others put in solid performances, in the end it's all Eastwood. He is convincing as the man who, through his chosen profession, has alienated his daughter to the point where she has taken the direct opposite path and become a prosecuting attorney. Luther may or may not like what he does for a living, but he definitely doesn't like what it has done for his relationship with his daughter, Kate (Laura Linney), and Eastwood does a great job at making this come through on screen. His convincing emotion is also displayed in a pivotal scene where Luther is watching President Richmond on television, embracing philanthropist Walter Sullivan (E.G. Marshall), Richmond's mentor and husband of the murdered woman. Luther talks to the TV screen: "You heartless whore. I'm not about to run from you." From almost any other actor, this would have been the biggest slice of cheese you'd ever laid eyes on, but because it's Clint Eastwood, you eat it up and ask for more.
 This time, D.C. homicide detective Seth Frank (Ed Harris) finds Luther at a museum and questions Luther over lunch, resulting in a wonderful scene where Seth and Luther exchange opinions on who might have broken into the mansion the night Walter Sullivan's wife was murdered. Seth almost knows it was Luther, since he is one of only a handful of people capable of pulling off a job like that, and Luther knows Seth knows. The two of them engage in a discussion which subtlely makes each other aware of what they're thinking without saying it out loud. Particularly enjoyable is the way Luther indirectly pays compliments to himself. "Do you know the skill of breaking the security of the security company? I don't know how those guys do it," he says. Seth smiles and nods knowingly. In this scene, you realize you are watching two pros: Luther, so confident because he's been through this kind of thing so many times, and Eastwood, acting with the confidence provided by decades of experience. Both the actor and the character play it free and easy, and it's fun to watch.
Throughout most of the film, Eastwood's direction is evenhanded, and in some cases, masterful. For example, the way he uses visuals and sound to build tension while Luther is trying to disable the mansion's security system is very effective. However, there are also evident inconsistencies which detract from the movie as a whole. The music, while beautiful in some places (Eastwood actually composed much of it), degenerates into cheap horror movie-type synthesized monotones in others. While some of the characters are very authentic, others are right out of bad movies with near over-the-top lines. I have a feeling that with a better screenplay which could have closed some of the gaps in storyline, this film could have been much better. In the end, ABSOLUTE POWER is enjoyable, with Eastwood's scenes nearly making up for its flaws. It's too bad that the rest of the film doesn't keep up with Eastwood himself.
Review posted December 20, 1997
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


Higher order functions are functions that manipulate other functions. For example, a function can take other functions as arguments and/or produce a function as its return value. Such fancy functional techniques are powerful constructs available to you in JavaScript and other high-level languages like python, lisp, etc.
We will now create two simple functions, add_2
and double
, and a higher order function called map
. map
will accept two arguments, func
and list
(its declaration will therefore begin map(func,list)
), and return an array. func
(the first argument) will be a function that will be applied to each of the elements in the array list
(the second argument).
// Define two simple functions
var add_2 = function(x) {
return x + 2;
};
var double = function(x) {
return 2 * x;
};
// map is cool function that accepts 2 arguments:
// func the function to call
// list a array of values to call func on
var map = function(func, list) {
var output=[]; // output list
for(idx in list) {
output.push( func(list[idx]) );
}
return output;
}
// We use map to apply a function to an entire list
// of inputs to "map" them to a list of corresponding outputs
map(add_2, [5,6,7]) // => [7, 8, 9]
map(double, [5,6,7]) // => [10, 12, 14]
The functions in the above example are simple. However, when passed as arguments to other functions, they can be composed in unforeseen ways to build more complex functions.
For example, if we notice that we use the invocations map(add_2, ...)
and map(double, ...)
very often in our code, we could decide we want to create two special-purpse list processing functions that have the desired operation baked into them. Using function composition, we could do this as follows:
process_add_2 = function(list) {
return map(add_2, list);
}
process_double = function(list) {
return map(double, list);
}
process_add_2([5,6,7]) // => [7, 8, 9]
process_double([5,6,7]) // => [10, 12, 14]
Now let's create a function called buildProcessor
that takes a function func
as input
and returns a func
-processor, that is, a function that applies func
to each input in list.
// a function that generates a list processor that performs
var buildProcessor = function(func) {
var process_func = function(list) {
return map(func, list);
}
return process_func;
}
// calling buildProcessor returns a function which is called with a list input
// using buildProcessor we could generate the add_2 and double list processors as follows:
process_add_2 = buildProcessor(add_2);
process_double = buildProcessor(double);
process_add_2([5,6,7]) // => [7, 8, 9]
process_double([5,6,7]) // => [10, 12, 14]
Let's look at another example.
We'll create a function called buildMultiplier
that takes a number x
as input and returns a function that multiplies its argument by x
:
var buildMultiplier = function(x) {
return function(y) {
return x * y;
}
}
var double = buildMultiplier(2);
var triple = buildMultiplier(3);
double(3); // => 6
triple(3); // => 9
var add1 = function (x) { return x + 1; } var negate = function(func) { return function(x) { return -1 * func(x); } } negate(add1)(5);
assert(negate(add1)(5) === -6);


Bangalore, one of the hotspots for real estate development, has seen an increase in demand from potential
home buyers and investors, and is expected to witness a further boom in the sector by 2020.Now with the lingering impact of demonetization and COVID-19, the enforcement of the Real Estate
(Regulation and Development) Act (RERA), and the lack of trust in property developers in the city,
housing units sold across India in 2019 dropped by 3 percent.
Buying a home, especially in a city like Bengaluru, is a tricky choice. While the major factors are usually
the same for all metros, there are others to be considered for the Silicon Valley of India. With its help
millennial crowd, vibrant culture, great climate and a slew of job opportunities, it is difficult to ascertain
the price of a house in Bengaluru.
Bangalore Housing dataset proves that many other factors influence the final price of homes.
Technology Used
PYTHON LIBRARIES
FLASK
NUMPY
SCIKIT-LEARN
MATPLOTLIB
BENGALURU
Whitefield neighborhood of Bangalore
Bangalore resident District High
Urban City Sky line
Apartment near Orion malls.
Houses for Sale
Under Construction Apartments


Forms - Another Exercise
Create a page that submits a search to Google
Creating your own Google search is easy!
Houston
Austin
Dallas
San Antonio


|
|
Task | OpenWindowAsync (Type viewModelType, object? owner, OpenWindowOptions options) |
| |
|
Task | OpenWindowAsync< TViewModel > (object? owner, OpenWindowOptions options) |
| |
| Task | OpenWindowAsync< TViewModel > (TViewModel viewModel, object? owner, OpenWindowOptions options) |
| |
|
Task | OpenWindowAsync< TViewModel > (Action< TViewModel > init, object? owner, OpenWindowOptions options) |
| |
|
Task< bool > | OpenDialogAsync (Type viewModelType, object? owner, OpenDialogOptions options) |
| |
|
Task< bool > | OpenDialogAsync< TViewModel > (object? owner, OpenDialogOptions options) |
| |
| Task< bool > | OpenDialogAsync< TViewModel > (TViewModel viewModel, object? owner, OpenDialogOptions options) |
| |
|
Task< bool > | OpenDialogAsync< TViewModel > (Action< TViewModel > init, object? owner, OpenDialogOptions options) |
| |
|
Task | CloseWindowAsync (object? window) |
| |
|
Task | CloseDialogAsync (bool dialogResult, object? window) |
| |
|
MessageBoxResult | ShowMessage (string messageBoxText, string caption, MessageBoxButton button, MessageBoxImage icon, MessageBoxResult defaultResult, MessageBoxOptions options, object? owner) |
| |
|
DialogResult | OpenFile (OpenFileDialogContext context) |
| |
|
DialogResult | SaveFile (SaveFileDialogContext context) |
| |
◆ OpenDialogAsync< TViewModel >()
| Task< bool > IWindowService.OpenDialogAsync< TViewModel > |
( |
TViewModel |
viewModel, |
|
|
object? |
owner, |
|
|
OpenDialogOptions |
options |
|
) |
| |
◆ OpenWindowAsync< TViewModel >()
| Task IWindowService.OpenWindowAsync< TViewModel > |
( |
TViewModel |
viewModel, |
|
|
object? |
owner, |
|
|
OpenWindowOptions |
options |
|
) |
| |
The documentation for this interface was generated from the following file:
- Source/Kamishibai/IWindowService.cs


statsmodels.tsa.stattools.kpss¶
-
statsmodels.tsa.stattools.
kpss
(x, regression='c', lags=None, store=False)[source]¶ Kwiatkowski-Phillips-Schmidt-Shin test for stationarity.
Computes the Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test for the null hypothesis that x is level or trend stationary.
Parameters: - x (array_like, 1d) – Data series
- regression (str{'c', 'ct'}) – Indicates the null hypothesis for the KPSS test * ‘c’ : The data is stationary around a constant (default) * ‘ct’ : The data is stationary around a trend
- lags (int) – Indicates the number of lags to be used. If None (default), lags is set to int(12 * (n / 100)**(1 / 4)), as outlined in Schwert (1989).
- store (bool) – If True, then a result instance is returned additionally to the KPSS statistic (default is False).
Returns: - kpss_stat (float) – The KPSS test statistic
- p_value (float) – The p-value of the test. The p-value is interpolated from Table 1 in Kwiatkowski et al. (1992), and a boundary point is returned if the test statistic is outside the table of critical values, that is, if the p-value is outside the interval (0.01, 0.1).
- lags (int) – The truncation lag parameter
- crit (dict) – The critical values at 10%, 5%, 2.5% and 1%. Based on Kwiatkowski et al. (1992).
- resstore ((optional) instance of ResultStore) – An instance of a dummy class with results attached as attributes
Notes
To estimate sigma^2 the Newey-West estimator is used. If lags is None, the truncation lag parameter is set to int(12 * (n / 100) ** (1 / 4)), as outlined in Schwert (1989). The p-values are interpolated from Table 1 of Kwiatkowski et al. (1992). If the computed statistic is outside the table of critical values, then a warning message is generated.
Missing values are not handled.
References
D. Kwiatkowski, P. C. B. Phillips, P. Schmidt, and Y. Shin (1992): Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root. Journal of Econometrics 54, 159-178.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/chained.20ors.html ---
is it possible to express something like this?
∀ a n:ℕ, a < n → a = 0 ∨ a = 1 ∨ ... ∨ a = n
it's a meta theorem known as... fin_cases
?
thank you
If you go to the tactic docs page and click on "filter by tag" in the top left and then "case bashing" you'll see that it's interval_cases
, and you'll see how to work it too :-)
Exactly what i was looking for, thank you
We're trying to figure out how to make the docs brilliant. Any comments welcome.
I will try thinking about it too
Anas, are you interested in a specific value of n, or the general statements? Both are expressible of course, but their uses are pretty different.
What i want is, for every particular n, i can decompose the goal into subgoal.
when I import tactic.interval_cases
, I get the error
invalid import: tactic.interval_cases could not resolve import: tactic.interval_cases
Is it because I have an old version of mathlib?
Which version do you have?
Can you run git log
?
(I don't know what system you are on. But if you can find a terminal, and run git log
in your mathlib directory, then you will see when the latest commit was.)
i am on ubuntu
where can i found it?
it gives me an error saying it does not contain any commit
in mathlib/leanpkg.toml
[package] name = "mathlib" version = "0.1" lean_version = "3.4.2" path = "src" [dependencies]
Are you running Lean in a project?
Is your project equal to mathlib, or do you have another project with mathlib as a dependency?
i don't understand your question
i installed lean from here https://github.com/leanprover-community/mathlib/blob/master/docs/install/debian.md, and am putting my files in Lean/my_project/src
Ok great.
Did you follow the instructions on setting up a Lean project here?
What happens if you change directory to Lean/my_project
and then type leanproject up
?
Do you have a leanpkg.toml
in Lean/my_project
?
Does leanproject up
fix the problem? Wait until it terminates and then restart Lean in VS Code with Ctrl-Shift P
I get command not found
I do
Try source ~/.profile
and then see if leanproject works
i get the same error
You did this crazy wget -q https://raw.githubusercontent.com/leanprover-community/mathlib-tools/master/scripts/install_debian.sh && bash install_debian.sh ; rm -f install_debian.sh && source ~/.profile
line?
The one in the page you linked to?
Installation should be easy on Ubuntu.
yes that's what i did
Did it work or did you get errors?
i don't remember getting errors
This should install leanproject
. Without that, things are much harder.
Do you have a leanproject
file in ~/.local/bin
?
$ ls ~/.local/bin/leanproject /home/buzzard/.local/bin/leanproject
Do you get something like that?
i don't
Then let's start again. Try typing that crazy wget command, because it didn't finish the job it was supposed to do.
ok
Are you logged in as a user who can run sudo
?
Maybe a better idea is to go though the detailed instructions so we can find out exactly what is failing.
But I guess there's no harm in trying the one-liner one more time.
now the leanproject up
command works
i'm waiting it finishes
After it has finished, close and open VS Code, and see if the import works.
I usually open VS Code by typing code .
when I am in the root directory of my project.
This way VS Code is guaranteed to open the right directory.
now the import works!!
thank you!!
:grinning_face_with_smiling_eyes:
No problem! Now go and do some maths :-)
yeay
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Regional Climate Model Intercomparison for South AmericaThe following draft experimental design is not intended as a proposal to be defended but instead is offered as a guide for discussion. Please email us at<EMAIL_ADDRESS>with comments and suggestions.
Background Information
Terrain map for potential PIRCS domain, at 50 km resolution
Country borders and major cities
Climate of South America
Climate Research in South AmericaDomain: most of South America (see maps)
Resolution 50 km
(some modelers may want to do an inner nest ~ 20km)Period: Jan 1998 - December 1999
(max of last El Nino to current La Nina)Initial/Lateral/Surface Boundary Conditions:
NCEP reanalysis to provide primary boundary conditions (Version 2 available? ECMWF reanalysis better in tropics?) Vegetation and topography data sets can be provided. No additional surface boundary data set appears needed.Output Archive:
NetCDF format
(We will provide a translator code, potentially based on one developed by Argonne)
Meta-database describing more extensive PIRCS-2 holdings at participating institutionsOUTPUT FIELDS:
Notes:
A. Output fields transmitted to us will be 2-D fields, reducing data transmission/storage requirements.
B. Modelers will store more complete model-run history at their own institution, with the PIRCS meta-database providing summaries and pointers to the output.
1. Direct output (minor post-processing)
Three hourly cumulative
(a) convective precipitation
(b) stratiform precipitation
(c) surface energy fluxes: up/down solar, up/down longwave, sensible, latent
(d) outgoing longwave radiation (top of atmosphere)
- Is (d) readily available from most models?
Other fluxes?Three hourly instantaneous
(a) 2-m air temperature
(b) sea-level pressure
(c) surface pressure
(d) cloud coverSix Hourly
(a) east-west wind component at 850 hPa
(b) north-south wind component at 850 hPa
(c) east-west wind component at 200 hPa
(d) north-south wind component at 200 hPa
Other levels; e.g., near LLJ?Daily
(a) Min/max temperature
(b) Soil moisture
(c) Cumulative runoff2. Derived statistics: We provide code or algorithm.
Three-hour average
(a) vertically integrated horizontal water transport
(b) precipitable water
(c) vertically integrated cloud waterMonthly averages at 850, 700, 500, 300, and 200 hPa
(a) East-west wind speed
(b) North-south wind speed
(c) Vertical wind speed
(d) TemperatureOther
(a) LLJ statistics (daily)
(b) 850 hPa streamfunction - (6 hourly)
(c) 850 hPa velocity potential - (6 hourly)
(d) 200 hPa streamfunction - (6 hourly)
(e) 200 hPa velocity potential - (6 hourly)
(f) 500 hPa vertical wind - (6 hourly)
- Would geostrophic and ageostrophic winds be preferable to velocity potential and streamfunction?
- Other levels, e.g., 925 mb to capture LLJ?
Copyright/Trademark Legal Notice


pw-csp
Common spatial pattern in JavaScript
Installation
npm install pw-csp
Getting Started
CSP projects classes of data points so that one has high variance in one axis, and the other has high variance in the other axis.
The example below is two-dimensional, but any number of dimensions may be used. The csp.project function accepts an array of data points, projects them using CSP, and returns the requested number of dimensions, sorted by descending importance. Each array should be of size number of samples rows x number of signals columns.
var CSP = require('pw-csp');
var a = [
[-1, -1],
[1, 1]
];
var b = [
[-1, 1],
[1, -1]
];
var csp = new CSP(a, b);
var ap = csp.project(a, 2);
var bp = csp.project(b, 2);
console.log(ap);
/* [
[ 1.414, 0 ],
[ -1.414, 0 ]
] */
console.log(bp);
/* [
[ 0, -1.414 ],
[ 0, 1.414 ]
] */


Public Member Functions | |
| __construct () | |
| createRow ($data) | |
| createRow More... | |
| create_culture ($data) | |
| create_culture More... | |
| create_tax ($data) | |
| create_tax More... | |
| create_vial ($data) | |
| create_vial More... | |
| create_dnarna ($data) | |
| create_dnarna More... | |
| import ($array, $table= 'CULTURE') | |
| import More... | |
| search ($keywords, $fields, $table= 'CULTURE', $key= 'CULT_ID', $type= 'like', $custom=NULL) | |
| search More... | |
| selectOne ($id) | |
| selectOne More... | |
| get_culture ($id) | |
| get_culture More... | |
| get_tax ($id) | |
| get_tax More... | |
| get_vials ($id) | |
| get_vials More... | |
| get_dnarna ($id) | |
| get_vials More... | |
| editRow ($id, $data) | |
| editRow More... | |
| update_culture ($id, $fields) | |
| update_culture More... | |
| update_tax ($id, $fields) | |
| update_tax More... | |
| update_vial ($id, $fields) | |
| update_vial More... | |
| update_dnarna ($id, $fields) | |
| update_dnarna More... | |
| delete_culture ($id) | |
| delete_culture More... | |
| delete_tax ($id) | |
| delete_tax More... | |
| delete_dnarna ($id) | |
| delete_dnarna More... | |
| delete_vial ($id) | |
| delete_vial More... | |
Private Member Functions | |
| select ($id=NULL, $table= 'CULTURE', $key= 'CULT_ID', $custom=NULL) | |
| select More... | |
| selectLike ($conditions, $table= 'CULTURE', $key= 'CULT_ID', $custom=NULL, $type= 'or') | |
| selectLike More... | |
| selectRange ($range, $field= 'CULT_DATE', $table= 'CULTURE', $key= 'CULT_ID', $custom=NULL) | |
| selectRange More... | |
| update ($id, $data, $table= 'CULTURE', $key= 'CULT_ID', $custom=NULL) | |
| update More... | |
| create ($data, $table= 'CULTURE') | |
| create More... | |
| create_batch ($data, $table= 'CULTURE') | |
| create_batch More... | |
| delete ($id, $table= 'CULTURE', $key= 'CULT_ID') | |
| delete More... | |
| Culture_model::__construct | ( | ) |
|
private |
create
Create a record within the table specified fields are passed through the associative array: array( field => value, field => value, ...)
private
| data | array associative array of field => value pairs used to create the record |
| table | string the table to create the record in |
|
private |
create_batch
Create multiple records within the table specified fields are passed through the associative data array: array( array(field => value, field => value, ...), array(...), ...)
private
| data | array associative array of field => value pairs used to create the record |
| table | string table which to create the records in |
| Culture_model::create_culture | ( | $data) |
create_culture
Create a record in the culture table. Requires an associative array arranged as: array(field => value, field => value, ...) See database schema for valid field names and types
public
| data | array an associative array holding the field names and values of the data to insert. |
| Culture_model::create_dnarna | ( | $data) |
create_dnarna
Create a record in the dnarna table. Requires an associative array arranged as: array(field => value, field => value, ...) See database schema for valid field names and types
public
| data | array an associative array holding the field name and values of the data to insert. |
| Culture_model::create_tax | ( | $data) |
create_tax
Create a record in the taxomomy table. Requires an associative array arranged as: array(field => value, field => value, ...) See database schema for valid field names and types
public
| data | array an associative array holding the field names and values of the data to insert. |
| Culture_model::create_vial | ( | $data) |
create_vial
Create a record in the vial table. Requires an associative array arranged as: array(field => value, field => value, ...) See database schema for valid field names and types
public
| data | array an associative array holding the field names and values of the data to insert. |
| Culture_model::createRow | ( | $data) |
createRow
Required an associative array arranged as: array(table => array(field => value, field => value, ...), table => array(...), ...) Valid tables are: CULTURE, TAXONOMY, DNARNA, VIAL See database schema for valid fields.
public
| data | array The array that holds the record data. |
|
private |
delete
delete a record from the table specified
private
| id | string the id of the record to be deleted |
| table | string table which to delete from |
| key | string the field which the id belongs to |
| Culture_model::delete_culture | ( | $id) |
delete_culture
Deletes a culture record and the records associated with it (cascading delete in mysql)
public
| id | int (string) the ID of the culture you want to delete |
| Culture_model::delete_dnarna | ( | $id) |
delete_dnarna
Deletes a dnarna record
public
| id | int (string) the ID of the dnarna record you want to delete |
| Culture_model::delete_tax | ( | $id) |
delete_tax
Deletes a taxonomy record
public
| id | int (string) the ID of the taxonomy you want to delete |
| Culture_model::delete_vial | ( | $id) |
delete_vial
Deletes a vial record
public
| id | int (string) the ID of the vial you want to delete |
| Culture_model::editRow | ( | $id, | |
| $data | |||
| ) |
editRow
Updates the row id specified with the data that is passed. The data should be an associative array arranged like: array(table => array(field => name, field => name, ...), table => array(...), ...) valid tables are: CULTURE, TAXONOMY, VIAL, DNARNA See database schema for valid field names and types.
public
| id | int (string) the ID of the culture record you want to edit |
| data | array an array holding the data you want to update the record with |
| Culture_model::get_culture | ( | $id) |
get_culture
Selects and returns the a culture record without any resolved foreign keys
public
| id | int (string) the ID of the culture to select |
| Culture_model::get_dnarna | ( | $id) |
get_vials
Selects and returns an array of all the dna/rna associated with the culture id passed
public
| id | int (string) the ID of the culture record you want to resolve the dnarna from |
| Culture_model::get_tax | ( | $id) |
get_tax
Selects and returns the taxonomy record associated with the culture id passed
public
| id | int (string) the ID of the culture record you want to resolve the taxonomy from. |
| Culture_model::get_vials | ( | $id) |
get_vials
Selects and returns an array of all the vials associated with the culture id passed
public
| id | int (string) the ID of the culture record you want to resolve the vials from |
| Culture_model::import | ( | $array, | |
$table = 'CULTURE' |
|||
| ) |
import
Create multiple culture records. Requires a multidimensional associative array arranged as: array( array(field => value, field => value, ...), array(...), ...) See database schema for valid field names and types
public
| data | array an associative array holding the field name and values of the data to insert. |
| table | string the primary table to import into |
| Culture_model::search | ( | $keywords, | |
| $fields, | |||
$table = 'CULTURE' , |
|||
$key = 'CULT_ID' , |
|||
$type = 'like' , |
|||
$custom = NULL |
|||
| ) |
search
Searches the specified table for the keywords against the fields. Returns the fields specified under the keys parameter. Has two types, 'like' and 'range', where like is a basic search against fields and range is a search between two points (like dates) Can be passed a custom string that will execute any custom where clauses you may want.
public
| keywords | array or string an array or comma delimited string holding the keywords to search for. eg. array('1', 'two') or '1, two' |
| fields | array or string an array or comma delimited string holding the fields to search against. eg. array('field1', 'field2') or 'field1, field2' |
| table | string the name of the table you want to search |
| key | string a comma delimited string that specifies which fields to return. eg. 'field1, field2' |
| type | string which type of search to perform. valid types are 'like' and 'range' |
| custom | string A custom where clause to add the the query. Must be a valid MySQL comparison. eg. 'field1 is NULL' |
|
private |
select
selects records based on the id, but can be used to select other fields as well
private
| id | string the value of the field you want to select |
| table | string the table you wish to select from |
| key | string the field you wish to return (select) |
| custom | string a custom where clause if needed |
|
private |
selectLike
selects records based on keywords, can be set to use OR or AND clauses $conditions is an associative array containing field => value pairs constructed like 'Field' => 'word' Field IS LIKE word
private
| conditions | array array of field => value pairs |
| table | string the table you wish to select from |
| key | string the field you wish to return (select) |
| custom | string a custom where clause if needed |
| type | string either 'or' or 'and' to select different clauses |
| Culture_model::selectOne | ( | $id) |
selectOne
Selects and returns one fully resolved culture record (includes all lookup tables and other related records)
public
| id | int (string) the ID of the culture to select |
|
private |
selectRange
For dates and other values selects records between two points $conditions is an associative array containing two specific keys: 'before' and 'after' constructed like 'before' => '1', 'after' => '2' where field > 1 where field < 2
private
| range | array array of two elements, 'before' and 'after' |
| field | string the field you wish to select the range from |
| table | string the table you wish to select from |
| key | string the field you wish to return (select) |
| custom | string a custom where clause if needed |
|
private |
update
updates the record specified with the fields given within $data $data should be constructed like: array(field => value, field => value, ...)
private
| id | string the id of the record you with to update |
| data | string the assocative array holding field => value pairs |
| table | string the table which holds the record to be updated |
| key | string the field which the id matches |
| custom | string a custom where clause if needed |
| Culture_model::update_culture | ( | $id, | |
| $fields | |||
| ) |
update_culture
Updates a culture record with the fields given Fields to update should be specified in the fields array: array( field => value, field => value, ...)
public
| id | int (string) the id of the culture you want to update. |
| fields | array associative array holding the field => value pairs to update the record with |
| Culture_model::update_dnarna | ( | $id, | |
| $fields | |||
| ) |
update_dnarna
Updates a single dnarna record with the fields passed Fields to update should be specified in the fields array: array( field => value, field => value, ...)
public
| id | int (string) the ID of the dnarna record you want to update |
| fields | array associative array holding the field => value pairs to update the record with |
| Culture_model::update_tax | ( | $id, | |
| $fields | |||
| ) |
update_tax
Updates a taxonomy record associated with the culture ID passed Fields to update should be specified in the fields array: array( field => value, field => value, ...)
public
| id | int (string) the ID of the culture record you want update the taxonomy for |
| fields | array associative array holding the field => value pairs to update the record with |
| Culture_model::update_vial | ( | $id, | |
| $fields | |||
| ) |
update_vial
Updates a single vial record with the fields passed Fields to update should be specified in the fields array: array( field => value, field => value, ...)
public
| id | int (string) the ID of the vial you want to update |
| fields | array associative array holding the field => value pairs to update the record with |


Kiok Sianto
Front End Developer|UI/UX Designer
Kioksianto
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A Tribute to Carl Sagan
We are a way for the world to know itself.
Carl Sagan's Life
- 1934: Carl Sagan is born
- 1955: Bachelor of Science Degree in Physics
- 1960: Ph.D. Degree in Astronomy and Astrophysics
- 1961: Becomes assistant professor at Harvard
- 1963: Starts work at the Smithsonian Observatory
- 1970: Becomes full professor at Cornell
- 1972: Assembles 1st physical message sent into space
- 1980: TV show Cosmos: A Personal Voyage airs
- 1981: Humanist of the Year Award
- 1985: Science fiction novel "Contact" published
- 1995: Pale Blue Dot: A Vision of the Human Future in Space
- 1996: Dies of pneumonia


class PermissionException : StripeException
A type of AuthenticationException resulting from incorrect permissions to perform the requested action.
<init> |
A type of AuthenticationException resulting from incorrect permissions to perform the requested action. PermissionException(stripeError: StripeError, requestId: String? = null) |


@import views.html.helpers.scalaBlock @import org.joda.time.DateTime @(title: String, publishDate: DateTime, tags: List[String])
I ran into a unexpected operator precedence issue in Scala the other day with this code:
@scalaBlock( """ val futureResponse = WS.url("http://query.yahooapis.com/v1/public/yql") .withHeaders("Accept" -> "application/json") .withQueryString( "q" -> "select * from yahoo.finance.quotes where symbol in (" + symbol + ")", "format" -> "json", "env" -> "store://datatables.org/alltableswithkeys", ) .get() """ )The compiler complains about a type error "(String) found where (String, String) expected."
Pretty obvious that the string concatenation +
operators are breaking the Map
tuples.
As it turns out, Scala's operator precedence is defined by the first character in the operator
so Map
's ->
and String
's +
operators have the same precedence...
so in other words, you can't use string concatenation in Map
s (or any +
or -
operators) without surrounding them in parenthesis.
(see this
explanation operator precedence)
The issue is clearly demonstrated with this little example:
@scalaBlock( """ scala> val x = Map("a" -> "one", "b" -> "two") x: scala.collection.immutable.Map[String,String] = Map(a -> one, b -> two) scala> val x = Map("a" -> "one" + "...", "b" -> "two")


Local youngsters to get exposure at U-15 International Challenge Cup
Promising young footballers from Japan, Australia, Vietnam, Indonesia, Malaysia and Singapore will do battle at the fourth edition of the Under-15 International Challenge Cup organised by the Football Association of Singapore from Saturday to Nov 29.
Two locals sides - the Singapore Under-15 team and Singapore Sports School (SSP) - will feature in the competition, which will see two groups of four.
The foreign teams taking part are three-time champions Promotion Fund for Vietnamese Football Talents (PVF), Malaysia's Johor Darul Ta'zim (JDT), Japan's Matsumoto Yamaga, Indonesia's Garuda Unity and Australia's Melbourne City College and Perth United.
All matches will be at the Singapore Sports School, except for the semi-finals and final which will be held at the Jalan Besar Stadium.
Said SSP coach Isa Halim: "This competition will expose the players to different teams and their varying styles of play.
"Also, it will give my team the chance to compete and understand the demands of international football.
"I want my players to adapt to these demands and give a good account of themselves by applying what they have learnt."
UNDER-15 INTERNATIONAL CHALLENGE CUP
Nov 23 (Sat)
- 8.30am: S'pore Sports Sch v Perth United
- 4pm: Melbourne City College v Garuda
- 7pm: Singapore U-15 v JDT
Nov 24 (Sun)
- 8.30am: PVF v Yamaga
- 4pm: Melbourne City College v JDT
- 7pm: Singapore U-15 v Garuda
Nov 25 (Mon)
- 8.30am: JDT v Garuda
- 4pm: S'pore Sports Sch v Yamaga
- 7pm: PVF v Perth United
Nov 26 (Tues)
- 8.30am: S'pore U-15 v Melbourne City College
- 4pm: PVF v S'pore Sports Sch
- 7pm: Yamaga v Perth United
Nov 28 (Thurs)
- 8.30am: 7th place play-off
- 3pm: 5th place play-off
- 3pm & 5pm: Semi-finals at Jalan Besar Stadium
Nov 29 (Fri)
- 8.30am: 3rd place play-off
- 5pm: Final at Jalan Besar Stadium
* All matches at Singapore Sports School unless stated. Admission is free


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1 2 3 4 5 6 7 8 9 10 11 12
13 /*!
14 * ======== IFilterLogger ========
15 * Interface for supporting filtering of Log events by detail level.
16 *
17 * Filtering of events based on detail level is not inherently supported
18 * by the Log APIs as is filtering of events based on the diagnostics mask.
19 *
20 * Support for this type of filtering must be done by an `ILogger`
21 * implementation. Not all users are interested in this filtering support,
22 * however, so it is not required of all `ILogger` implementations.
23 *
24 * `ILoggers` that do intend to support filtering by detail level should
25 * implement this interface, which extends the `ILogger` interface.
26 *
27 * The `{@link #setFilterLevel}` and `{@link #getFilterLevel}` functions
28 * support runtime specification of a different filtering level for each of
29 * the diagnostics categories.
30 */
31 interface IFilterLogger inherits ILogger {
32
33 /*!
34 * ======== filterByLevel ========
35 * Support filtering of events by event level
36 *
37 * To improve logging performance, this feature can be disabled by setting
38 * `filterByLevel` to false.
39 *
40 * See '{@link #setFilterLevel}' for an explanation of level filtering.
41 */
42 config Bool filterByLevel = false;
43
44 instance:
45
46 /*!
47 * ======== setFilterLevel ========
48 * Set the level of detail that instances will log
49 *
50 * Events with the specified level or higher will be logged, events
51 * below the specified level will be dropped.
52 *
53 * Events are filtered first by diags category, then by level. If an
54 * event's diags category is disabled in the module's diags mask, then it
55 * will be filtered out regardless of level. The event will not even be
56 * passed to the logger.
57 *
58 * This API allows for setting the filtering level for more than one
59 * diags category at a time. The mask parameter can be a single category
60 * or multiple categories combined, and the level will be set for all of
61 * those categories.
62 *
63 * @param(mask) The diags categories to set the level for
64 * @param(filterLevel) The new filtering level for the specified
65 * categories
66 */
67 Void setFilterLevel(Diags.Mask mask, Diags.EventLevel filterLevel);
68
69 /*!
70 * ======== getFilterLevel ========
71 * Returns the mask of diags categories currently set to the specified
72 * level.
73 *
74 * See '{@link #setFilterLevel}' for an explanation of level filtering.
75 */
76 Diags.Mask getFilterLevel(Diags.EventLevel level);
77
78 }
79 80 81
82


|
Xerces-C++
3.1.4
|
Public Member Functions | |
Constructors | |
| XSNamespaceItem (XSModel *const xsModel, SchemaGrammar *const grammar, MemoryManager *const manager=XMLPlatformUtils::fgMemoryManager) | |
| The default constructor. More... | |
| XSNamespaceItem (XSModel *const xsModel, const XMLCh *const schemaNamespace, MemoryManager *const manager=XMLPlatformUtils::fgMemoryManager) | |
Destructor | |
| ~XSNamespaceItem () | |
XSNamespaceItem methods | |
| const XMLCh * | getSchemaNamespace () const |
[schema namespace]: A namespace name or null corresponding to the target namespace of the schema document. More... | |
| XSNamedMap< XSObject > * | getComponents (XSConstants::COMPONENT_TYPE objectType) |
| [schema components]: a list of top-level components, i.e. More... | |
| XSAnnotationList * | getAnnotations () |
| [annotations]: a set of annotations. More... | |
| const XSAnnotationList * | getAnnotations () const |
| XSElementDeclaration * | getElementDeclaration (const XMLCh *name) |
| Convenience method. More... | |
| XSAttributeDeclaration * | getAttributeDeclaration (const XMLCh *name) |
| Convenience method. More... | |
| XSTypeDefinition * | getTypeDefinition (const XMLCh *name) |
| Convenience method. More... | |
| XSAttributeGroupDefinition * | getAttributeGroup (const XMLCh *name) |
| Convenience method. More... | |
| XSModelGroupDefinition * | getModelGroupDefinition (const XMLCh *name) |
| Convenience method. More... | |
| XSNotationDeclaration * | getNotationDeclaration (const XMLCh *name) |
| Convenience method. More... | |
| const StringList * | getDocumentLocations () |
| [document location] - a list of locations URI for the documents that contributed to the XSModel. More... | |
| Public Member Functions inherited from XMemory | |
| void * | operator new (size_t size) |
| This method overrides operator new. More... | |
| void * | operator new (size_t size, MemoryManager *memMgr) |
| This method defines a custom operator new, that will use the provided memory manager to perform the allocation. More... | |
| void * | operator new (size_t size, void *ptr) |
| This method overrides placement operator new. More... | |
| void | operator delete (void *p) |
| This method overrides operator delete. More... | |
| void | operator delete (void *p, MemoryManager *memMgr) |
| This method provides a matching delete for the custom operator new. More... | |
| void | operator delete (void *p, void *ptr) |
| This method provides a matching delete for the placement new. More... | |
Protected Attributes | |
| MemoryManager *const | fMemoryManager |
| SchemaGrammar * | fGrammar |
| XSModel * | fXSModel |
| XSNamedMap< XSObject > * | fComponentMap [XSConstants::MULTIVALUE_FACET] |
| XSAnnotationList * | fXSAnnotationList |
| RefHashTableOf< XSObject > * | fHashMap [XSConstants::MULTIVALUE_FACET] |
| const XMLCh * | fSchemaNamespace |
Friends | |
| class | XSModel |
| class | XSObjectFactory |
Additional Inherited Members | |
| Protected Member Functions inherited from XMemory | |
| XMemory () | |
| Protected default constructor. More... | |
| XSNamespaceItem::XSNamespaceItem | ( | XSModel *const | xsModel, |
| SchemaGrammar *const | grammar, | ||
| MemoryManager *const | manager = XMLPlatformUtils::fgMemoryManager |
||
| ) |
The default constructor.
| xsModel | |
| grammar | |
| manager | The configurable memory manager |
| XSNamespaceItem::XSNamespaceItem | ( | XSModel *const | xsModel, |
| const XMLCh *const | schemaNamespace, | ||
| MemoryManager *const | manager = XMLPlatformUtils::fgMemoryManager |
||
| ) |
| XSNamespaceItem::~XSNamespaceItem | ( | ) |
| XSAnnotationList * XSNamespaceItem::getAnnotations | ( | ) |
[annotations]: a set of annotations.
References fXSAnnotationList.
| const XSAnnotationList * XSNamespaceItem::getAnnotations | ( | ) | const |
References fXSAnnotationList.
| XSAttributeDeclaration* XSNamespaceItem::getAttributeDeclaration | ( | const XMLCh * | name | ) |
Convenience method.
Returns a top-level attribute declaration.
| name | The name of the declaration. |
null
if such declaration does not exist. | XSAttributeGroupDefinition* XSNamespaceItem::getAttributeGroup | ( | const XMLCh * | name | ) |
Convenience method.
Returns a top-level attribute group definition.
| name | The name of the definition. |
null
if such definition does not exist. | XSNamedMap<XSObject>* XSNamespaceItem::getComponents | ( | XSConstants::COMPONENT_TYPE | objectType | ) |
[schema components]: a list of top-level components, i.e.
element declarations, attribute declarations, etc.
| objectType | The type of the declaration, i.e. ELEMENT_DECLARATION , TYPE_DEFINITION and any other component type that may be a property of a schema component. |
objectType
or null
. | const StringList* XSNamespaceItem::getDocumentLocations | ( | ) |
[document location] - a list of locations URI for the documents that contributed to the XSModel.
| XSElementDeclaration* XSNamespaceItem::getElementDeclaration | ( | const XMLCh * | name | ) |
Convenience method.
Returns a top-level element declaration.
| name | The name of the declaration. |
null
if such declaration does not exist. | XSModelGroupDefinition* XSNamespaceItem::getModelGroupDefinition | ( | const XMLCh * | name | ) |
Convenience method.
Returns a top-level model group definition.
| name | The name of the definition. |
null
if such definition does not exist. | XSNotationDeclaration* XSNamespaceItem::getNotationDeclaration | ( | const XMLCh * | name | ) |
Convenience method.
Returns a top-level notation declaration.
| name | The name of the declaration. |
null
if such declaration does not exist. | const XMLCh * XSNamespaceItem::getSchemaNamespace | ( | ) | const |
[schema namespace]: A namespace name or null
corresponding to the target namespace of the schema document.
References fSchemaNamespace.
| XSTypeDefinition* XSNamespaceItem::getTypeDefinition | ( | const XMLCh * | name | ) |
Convenience method.
Returns a top-level simple or complex type definition.
| name | The name of the definition. |
XSTypeDefinition
or null
if such definition does not exist.
|
friend |
|
friend |
|
protected |
|
protected |
|
protected |
|
protected |
|
protected |
Referenced by getSchemaNamespace().
|
protected |
Referenced by getAnnotations().
|
protected |


alex
A tool that catches insensitive, inconsiderate writing.
It helps you find gender favouring, polarising, race related, religion inconsiderate, or other unequal phrasing in text.
More information: home page
- Analyze text from `stdin`:
echo His network looks good | alex --stdin
- Analyze all files in the current directory:
alex
- Analyze a specific file:
alex textfile.md
- Analyze all Markdown files except `example.md`:
alex *.md !example.md


Introduction
My name is Nassir Abegaz , I am orginally from Addis Ababa,Ethiopia , I came to USA in 2007 . I am from the father who always gave advice to people for education who liked to give more assignment in addition to the school homework ,who was serious regarding children descipline and manners .I am also from a mother who loved me so much and did a lot for me who can raise her chidren with love and immense respect . I am a father now with three children with a big responsibility . who will raise my children using the great opportunity of education in the USA . I enjoys spending time playing games with my family . I have a bachelor degree with civil engnineering, I served more than 13 years in different construction company at Ethiopia , after I come to USA I start my own business in the transportation industry and soon to be web developer.
Am I orginally from Ethiopia ?
I'm originally from Addis Ababa , Ethiopia.
Do I like American football?
do you think software developer is my favorite field ?
Am I Arsenal soccer team fan ? yes, I am from one if the most beautiful countries in the part of Africa.
Do I have a GMC yukon XLcar?


{{currentPlaying.title}} - {{currentPlaying.artist}} {{currentPlaying.artist}} ({{ currentPostion }} / {{ currentDuration }})


Typed entity library with attribute sanitization, normalization and validation.
Provides a low-level implementation of data objects represented as entity classes. Each entity class is assigned a collection of attribute configurations that define the value type (string
, number
, custom type, anything...) and other constraints such as optional
(null
values allowed), immutable
(read-only) or hidden
(from JSON representation).
Attribute values can be sanitized from raw/untrusted data (e.g. JSON or user-input) using the sanitizer
function configured for each attribute, as well as normalized and validated by configuring an optional normalizer
and validator
function, respectively.
Callable attributes can also be defined which use a callback to obtain generate and return a typed value.
The core functionality is provided by @typescript-entity/core
.
yarn add @typescript-entity/core
These packages help minimize the code required for declaring common attribute configuration sets. They are entirely optional but you may find them useful.
@typescript-entity/configs
Attribute configuration set typings and factory functions for common types of attributes.
yarn add @typescript-entity/configs
@typescript-entity/normalizers
Normalizer functions for common normalization strategies.
yarn add @typescript-entity/normalizers
@typescript-entity/sanitizers
Sanitizer functions for common sanitization strategies.
yarn add @typescript-entity/sanitizers
@typescript-entity/validators
Validator functions for common validation strategies.
yarn add @typescript-entity/validators
A copy/paste version is available in example.ts
Can be found here.
This monorepo contains the official @typescript-entity
packages. It is configured for use with Yarn Workspaces and Lerna. Linting is provided by eslint
using @typescript-eslint/eslint-plugin
according to the @typescript-eslint/recommended
rules. Tests run on jest
using ts-jest
. API documentation is generated using TypeDoc.
Tests reside in ./tests
and provide unit testing across all packages.
yarn run test
Building will lint, compile, test and regenerate API documentation (in that order).
yarn run build
Generated using TypeDoc


Question 7/10
How do you delete an element from an options array?
Set it to false.
Set it to null.
Set it to undefined.
Set it to -1


Contact Olli-Samuli:
I have a press kit setup where you can find information about the game and download screenshots or logos.
If you'd want to request a copy of the game for YouTube or a review of the game, please email me and I'll consider giving you a Steam key. If you run a YouTube channel, please make sure that your email address is available in your channel's About section before contacting me, so that I can verify that you really are who you claim to be.
If you want to contact me directly, you can tweet at me @Tyyppi_77 or email me.
I also have an IndieDB page with some irregular update blog posts, so if you really want to, you can message me there too.


| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Chapter 20. Database Roles and Privileges | Next |
When an object is created, it is assigned an owner. The owner is normally the role that executed the creation statement. For most kinds of objects, the initial state is that only the owner (or a superuser) can do anything with the object. To allow other roles to use it, privileges must be granted. There are several different kinds of privilege: SELECT, INSERT, UPDATE, DELETE, TRUNCATE, REFERENCES, TRIGGER, CREATE, CONNECT, TEMPORARY, EXECUTE, and USAGE. For more information on the different types of privileges supported by PostgreSQL, see the GRANT reference page.
To assign privileges, the GRANT command is used. So, if joe is an existing role, and accounts is an existing table, the privilege to update the table can be granted with:
GRANT UPDATE ON accounts TO joe;
The special name PUBLIC can be used to grant a privilege to every role on the system. Writing ALL in place of a specific privilege specifies that all privileges that apply to the object will be granted.
To revoke a privilege, use the fittingly named REVOKE command:
REVOKE ALL ON accounts FROM PUBLIC;
The special privileges of an object's owner (i.e., the right to modify or destroy the object) are always implicit in being the owner, and cannot be granted or revoked. But the owner can choose to revoke his own ordinary privileges, for example to make a table read-only for himself as well as others.
An object can be assigned to a new owner with an ALTER command of the appropriate kind for the object. Superusers can always do this; ordinary roles can only do it if they are both the current owner of the object (or a member of the owning role) and a member of the new owning role.


Use a program that securely deletes files by overwriting the files being deleted.
The native Windows API does not securely delete files, so when it is used to delete files, examining the disk with forensic software can often retrieve the contents of the deleted files. When hardware is sold or stolen, data that is not securely erased can be leaked.
Use sanitizing software when deleting sensitive data.
Use trusted secure deletion software or physically destroy the storage hardware. The methods for securely erasing data from solid-state storage devices (flash memory, "USB sticks," SD-cards, etc.) are more intricate, so the use of these devices to store sensitive information is not recommended in the cardholder data environment. Use the following steps to erase files securely:
Use secure erasing software. To satisfy the PCI DSS requirement 3.2 to keep storage of cardholder data to a minimum, install Eraser on all Windows-based machines that handle cardholder data and have a copy of DBAN on hand. Make sure that the Information Security policy requires the staff to use Eraser to delete sensitive information securely and DBAN to sanitize hard drives before disposal.
Implement software algorithms for deleting data securely. Implement algorithms for deleting data securely in your custom software. There are several methods for securely deleting data that are considered acceptable. Several common methods are:
The recommended methods for securely deleting sensitive information are single pass overwrite with pseudo-random data and DoD 5220.22-M. Overwriting with pseudo-random data is the method that works well in practice and DoD 5220.22-M is the method that is commonly accepted as secure. Either method gets the job done. It is a long held belief in the Information Security community that multiple passes are required to erase data securely, possibly because the Department of Defense requires multiple passes in their security procedures. However, recent research has shown that a single pass is sufficient for hard drives manufactured after 2001, according to the 2006 NIST Special Publication 800-88 (p. 7). In the event that an assessor demands that the standard operating procedures use multiple passes, it may be helpful to direct him or her to the above-mentioned NIST publication. Most software implementations of secure deletion algorithms make it easy to change the number of passes. Multiple passes may take multiple hours, so unless this practice is deemed necessary, it is not recommended.
Physically destroy the storage media. Many companies choose to physically destroy old hard drives to make sure that sensitive data is securely deleted. There are several acceptable approaches to physically destroying hard drives, such as drilling through the disk plates. The key to physically destroying hard drives is damaging or misaligning the plates inside. Physically destroying solid-state storage devices requires more extensive damage.


Class reference
Usage
Use sr-only
to hide an element visually without hiding it from screen readers:

<svg></svg>
Settings

Use not-sr-only
to undo sr-only
, making an element visible to sighted users as well as screen readers. This can be useful when you want to visually hide something on small screens but show it on larger screens for example:

<svg></svg>
Settings

By default, responsive
and focus
variants are generated for these utilities. You can use focus:not-sr-only
to make an element visually hidden by default but visible when the user tabs to it — useful for "skip to content" links:

Skip to content

Customizing
Responsive and pseudo-class variants
By default, only responsive, hover, focus and active variants are generated for accessibility utilities.
You can control which variants are generated for the accessibility utilities by modifying the accessibility
property in the variants
section of your tailwind.config.js
file.
For example, this config will also generate group-hover variants:
Disabling
If you don't plan to use the accessibility utilities in your project, you can disable them entirely by setting the accessibility
property to false
in the corePlugins
section of your config file:


Pecker (1998)
Director: John Waters Cast: Edward Furlong, Christina Ricci, Mary Kay Place, Brendan Sexton, Martha Plimpton, Lili Taylor Screenplay: John Waters Producers: John Fiedler, Mark Tarlov Runtime: 87 min. US Distribution: Fine Line Features Rated R: sexuality, graphic nudity, language, drug use
By Nathaniel R. Atcheson<EMAIL_ADDRESS>John Waters' new film, Pecker, tells the story of its title character, a teenage boy (Edward Furlong) who likes to take pictures of everything he sees. The film closely follows a few months of his life, during which we are introduced to the various people he knows. There's his girlfriend, Shelley (Christina Ricci), a harsh and cynical girl who runs the local laundromat; she's very decided on her laundromat policies. Then there's his insane and intensely happy family, soccer-mom (Mary Kay Place) and bartending dad (Mark Joy), and his maniacal sugar-freak sister, Little Chrissy (Lauren Hulsey). Included in, but not residing with, the family is Tina (Martha Plimpton), who DJs in the local gay bar.
All of this is a rather colorful backdrop to a strangely perfunctory subplot involving art dealer Rorey Wheeler (Lili Taylor) who sees Pecker's work at his first show (which he holds in a burger joint). She thinks he's "brilliant" and "a genius" (those art dealers are always so quick to label), and soon the entire art world agrees with her. He has his opening in New York, and his photos immediately sell for huge amounts of money. With his popularity, however, Pecker soon becomes disliked in his hometown of Baltimore as the residents are hounded by reporters wanting insights into Pecker's life.
Waters, over the last few decades, has made some interesting pictures, almost none of which I've seen. The only one I have seen is Serial Mom, which I enjoyed immensely. Pecker is also enjoyable, and often hilarious, but, by the end, I wondered what it was all about: the film really has no center. Its themes are pretty limp; we've had more than one criticism of the art world this year (Henry Fool and High Art come to mind), so Pecker seems weak by comparison. As entertainment, it more or less works, but I can't help thinking that the film could have been better.
I like Furlong as an actor, but I haven't seen him do much of anything interesting since Terminator 2. He's not unlikable here, but he displays very little of the energy that he did in his first performance. I think he can act, and he does have presence, but he doesn't show much of that in Pecker. Ricci, on the other hand, has certainly proven herself (even if you only count 1998 films); she's also strangely sedate here, though she has a few shining moments (the scenes involving her attacking her customers are very funny). Most of the other performances are highly energetic: Place and Joy create wonderfully cloying parents; Plimpton is likable as a homosexually-obsessed woman; Taylor is perfectly pitched for satire; and young Hulsey is dead-on as the ADD child.
But I'm not sure what brings it all together. Waters is telling a story, but the story is one we've heard before: small-town kid makes it big and decides he doesn't like it. What makes Pecker unique is its unbelievable sense of giddy madness. This film is ridiculously happy and upbeat; Pecker's home life, for instance, is everything a kid could hope for (actually, the family values displayed in the film are surprisingly strong). But how does this compare to the dirty scenes featuring lesbian strippers (one of the film's funnier moments)? The last line of the film, which has Pecker shouting, "I think I'm gonna direct movies!" makes me wonder if Waters was attempting some kind of rough autobiography. In all honesty, I don't know what the film is about, and I left it feeling rather indifferent.
I did, however, enjoy myself as I watched it. I laughed frequently, the high points including the lesbian dance sequence (truly hilarious) and a great scene outside a male strip bar where heterosexual patrons are dying to get "tea bagged." Pecker has its moments -- and there are many -- but I wish Waters had been a little more straightforward with what he was trying to accomplish.  Even so, it doesn't add much dimension to the premise.
**1/2 out of **** (6/10, C+)
Visit FILM PSYCHOSIS at http://www.pyramid.net/natesmovies
Nathaniel R. Atcheson
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


Campbell Tartans win sixth consecutive city title
The Campbell Tartans and LeBoldus Golden Suns celebrated RHSAA senior tier 1 volleyball championships Friday night.
by Regina Leader-PostThe Campbell Tartans won the Regina High Schools Athletic Association’s senior girls tier 1 volleyball title for the sixth consecutive year on Friday.
Campbell defeated the Winston Knoll Wolverines 25-6, 25-13 in the city final at Luther College High School’s Semple Gymnasium.
“I am so proud to be part of this team and can’t believe how amazing it is to be part of a senior team that has won three years in a row,” said Campbell’s Jordy McEachern, who has won city titles with the senior girls team in Grades 9, 10 and 11.
“We have a real shot at winning back-to-back provincial championships and that is so exciting.”
The Saskatchewan High Schools Athletic Association’s 5A senior girls championship tournament is set for Friday and Saturday in Weyburn.
In Friday’s senior boys tier 1 final, also at Luther, the LeBoldus Golden Suns defeated Campbell 23-25, 25-19, 16-14.
The provincial 5A boys championship tournament is slated for Friday and Saturday at Winston Knoll and Riffel.


EMOTIONAL CONFLICT: YOUR NO FRIEND OF MINE
September 27, 2014
It was quite some time ago, but still stands out in my mind, that I came into some serious conflict with one of my best friends. The conflict was in regards to how he was treating his friends and obviously myself. He was lying to us in big ways that affected our trips together. He would be constantly unreachable for days at a time through any form of communication. And lastly he just showed any lack of respect to our time and our concerns. A very "F it" attitude.
I was aware of his apathy for some time and still attempted to make an effort to get together, hangout, and talk out these issues as they would come up. I found myself constantly disappointed at his lack of concern for regarding my concerns and clearly identified him as a major source of conflict in my life. After all why spend time with people that don't show you the respect that you show them, a friend that you have known for 10+ years and considered a brother.
I found myself getting no where with him and my other friends, as equally frustrated, decided it was better to avoid the issues and accept it for what it is. I took a different approach. Identifying him as the clear cause of much conflict in my life I decided to cut ties. I would not communicate with him, reach out to him, avoid social environments that I knew he would be attending as much as possible. This made things very difficult and awkward for my other friends as they were caught in the middle of this and I could never get them to see my point of view, that a bad friend is not a friend worth keeping, life's too short. My ostracization lasted just about a year before I decided it was worth revisiting. To this day we are friends, he has not changed, I do accept it by having no expectations.
I cannot total speak for how my actions impacted the situation. For myself the conflict just appeared to have switched to another means. Like there would be that mentioned awkwardness when hangout with mutual friends or getting together for birthdays and outings. Overall this did no compare to the conflict that I was going through trying to figure out what his problem was and constantly failing at trying to get him to see my point of view.
Looking back, knowing now how cutting ties with him for that limited amount of time and eventually just being friends again, I don't think I would do anything different. The experience was a great life lesson for myself. I could not resolve a conflict despite numerous attempts at trying and found myself washing my hands of it. These days I am a bit more meticulous in those I consider friends and attempt to make sure I treat them the way I wish to be treated. If I notice an imbalance in the way things are going I am much quicker and in cutting ties for good. And more times than ever they stay cut, because after all you there are only so many days in a year and why not spend it with the people that enjoy your company as much as you enjoy theres.


Inserts a blank cell or range of cells or pastes cells from the Clipboard into a sheet. Shifts the selected cells to accommodate the new ones. The size and shape of the inserted range are the same as those of the current selection.
Syntax
INSERT(shift_num)
INSERT?(shift_num)
Shift_num is a number from 1 to 4 specifying which way to shift the cells. If an entire row or column is selected, shift_num is ignored. If shift_num is omitted, Microsoft Excel shifts cells in the logical direction based on the selection.
| Shift_num | Direction |
| 1 | Shift cells right |
| 2 | Shift cells down |
| 3 | Shift entire row |
| 4 | Shift entire column |
Remarks
If you have just cut or copied information to the Clipboard, INSERT performs both an insert and a paste operation. First, Microsoft Excel inserts new blank cells into the sheet; then, Microsoft Excel pastes information from the Clipboard into the newly inserted cells. If you have used the INSERT function in macros written for Microsoft Excel version 2.2 or earlier, make sure you consider this feature when you use your old macros with later versions of Microsoft Excel.
Related Functions
COPY Copies and pastes data or objects
CUT Cuts or moves data or objects
EDIT.DELETE Removes cells from a sheet
PASTE Pastes cut or copied data
Return to index


Preparation time
less than 30 mins
Cooking time
1 to 2 hours
Serves
Serves 8
A rich make-ahead pâté that's perfect party food or makes a great starter - delicious with pickled onions, toast and salad.
Equipment: You will need a 1.5 litres/2½ pints terrine mould.
Preheat the oven to 180C/350F/Gas 4.
Cut each chicken breast into three big slices and set aside.
Mix the chicken livers into the minced pork and season with the salt and pepper. Add the lemon zest, shallots, thyme leaves and pistachios.
Line a terrine mould or loaf tin with the bacon, leaving enough overhanging to cover the top when filled. Press in the mince and chicken pieces and cover completely with the bacon.
Place the mould in a roasting tin filled with enough water to reach half way up the side of the mould.
Bake in the preheated oven for 1 hour 15 minutes.
Allow to cool for 24 hours in the fridge then slice. Serve with pickled onions or gherkins, toast and salad leaves.


Edit Investigation
Edit Investigation
Blood CBC
Date
Required
TC
Required
DC
Required
HB
Required
ESR
Required
PCV
Required
Comment
Required
Blood C/S
Date
Required
Name Of Organism
Required
Sensitive Antibiotic
Required
Comment
Required
Wound C/S
Date
Required
Name Of Organism
Required
Sensitive Antibiotic
Required
Comment
Required
Electrolyte
Date
Required
Sodium (NA)
Required
Potassium (K)
Required
Chlorine (Cl)
Required
Bicarbonate (HCO3)
Required
Calcium (Ca)
Required
Comment
Required
PT
Date
Required
Patient
Required
Control
Required
IN Index
Required
Comment
Required
Others
RBS
Required
Date
Required
S. Creatinine
Required
Date
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S. Albumin
Required
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Required
S. Total Protein
Required
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Required
A/G Ratio
Required
Date
Required
SGPT
Required
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Al phos
Required
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APTT
Required
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FDP
Required
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D-Dimer
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C-Reactive Protein
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@** * Copyright (C) 2014 Johannes Unterstein<EMAIL_ADDRESS>unterstein.info * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * http://www.apache.org/licenses/LICENSE-2.0 * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @(id: Long, form: Form[controllers.ProjectController.CaseProject], mode: String)(implicit request: play.api.mvc.Request[Any], lang: Lang) @import views.html.helper.{inputRow, textareaRow, formErrors, dropDownRow}


10:00 - Injested 20mg mixed in a bottle of water
10:28 - cold chills, goose bumps, feeling of anticipation
10:30 - injested another 20mg mixed in a bottle of water
I'm interested to find out exactly what is going to happen to me, at first I was unsure about taking 40mg but I have nothing better to do tonight, and nothing to do at all tomorrow. So I figured what the heck might as well. Obtained a pure sample from what I consider a reliable source. Hopefully everything will go as planned and my head will be spinning like a top in barrage of psychedelic colors.
10:50 Mild hallucinations present, not sure if its just me being excited or the drugs kicking in. Creepy crawling feeling on my skin, somewhat similar to the affects present before taking acid.+
11:33 ok there is definitly somehting going on here, im having mild hallucinations and my head feels like about 3 hits of acid. Got a strong urge to make a bm, better do it before i lose my mind.
12:50 - I'm totally gone now, serious clenching in my jaw, completely vivid distortions, having problems typing but otherise arlight, seems to have somewhat of a time warping effect, been laying on my bed for 50 min but what seemed more like 50 hours. Not sure if I'm hungry or if its just the drug. This is great I could compare this to a 10 strip of acid at this point.  Visuals have subsided. Just took a shot of whiskey to try and take this edge off, for the most part it seems my journey into the next dimension has ceased. Although my brain is still quite distorted. I believe the whiskey is going to bring me out of that quite nicely.
4:20 I'll end up my experiance now for I am going to bed shortly, couple more shots of jim beam, and the end of this movie 'Fresh' and I'll be in the sack. Good luck psychonautical astronauts. Have fun and be safe.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


You can follow the truck on your favorite social media platforms. We have live updates about our location and upcoming events all the time!
It's actually pretty simple. We're just two guys 👨👨 who love food 🤤 We love the smell 👃 of food. We love the taste 😛 of food, and now we have a way to share some of our favorite recipes 📝 with everyone! Here's how it all went down 👇.
I'm Mike ↖ and I'm Omar ⬆
We met in high school 📚✏in Las Cruces, NM. We used to do everything together.
We hung out together. We got jobs and worked together. Even after gradation 🎓 our friendship continued to grow 📈.
After a few years, this guy decided to move to Arizona 🌵 to pursue his career goals 👔.
This guy held it down here in New Mexico 🌶 climbing his way up 🧗 at his job, too.
Omar ended up moving back to New Mexico 🚗 and we started working together again. For 🔟 years, we worked as managers 👨💼👨💼 in various companies. During our shifts, we would talk 🗣 about our dreams and things we wanted to accomplish. We both expressed interest in owning a food truck, and our ideas progressed to plans ✍about menus, locations, truck styles and many other things. We put in an order for a custom trailer, and after 4months of waiting, the trailer ⛟ was finally ready.
We met up in Texas 🤠 to pick up the brand new trailer ⛟ Needless to say, we were excited as heck!
Here we are getting the keys 🔑
We are now ready to share our love ❤of food with everyone. Here's to big dreams and long-lasting friendship! 🤝
Give us a heads up!
Let us know the details of your event.
Hit submit and we'll email you with further instructions.


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Indices of Biotic Integrity (IBIs) were developed for macroinvertebrate assemblages in wadeable, freshwater, perennial streams in Massachusetts. There are currently five IBIs –
The southeast portion of Massachusetts, which includes the Narragansett/Bristol Lowlands, Cape Cod, and the Islands, had insufficient data to develop an IBI for kick net samples at this time. However, this region is where many streams can be sampled with multihabitat methods and the multihabitat index can be applied for those samples.
Reports detailing the development of the kick and low gradient IBIs can be found here.
The IBIs are intended to be applied to samples collected from freshwater, perennial, wadeable streams in Massachusetts using the MassDEP kick net or multihabitat sampling methods. MassDEP samples are collected between July 1–September 30, using a kick-net with 500 μm mesh and a 46 cm wide opening. Organisms are identified to the lowest practical level in the laboratory.
The kick net samples are collected from riffle/run areas in streams with fast currents and rocky substrate. Multihabitat samples are collected from low gradient, slow moving streams with soft or hard substrate, from the following habitats (in proportion to their occurrence): snags, root wads, leaf packs, aquatic macrophytes, undercut banks, overhanging vegetation, or hard bottom. With both collection methods, 10 kicks, sweeps, and/or jabs are taken over a 100-m reach and then combined into a single sample.
If you apply the IBIs to samples that do not meet the criteria listed above, results should be interpreted with caution.
Kick net IBIs were calibrated for two regions - the Western Highlands (WH) and Central Hills (CH) (shown in Figure 1) – using 100-count or 300-count samples. The low gradient IBI, which can be applied statewide (as well as in Rhode Island), was calibrated with 300-count samples. Tables 1-5 show the input metrics and scoring formulae for the three IBIs.
| Metric (abbrev) | Response to stress | Scoring formula |
|---|---|---|
| Number of total taxa (nt_total) | Decrease | 100*(metric)/38.8 |
| % Plecoptera individuals (pi_Pleco) | Decrease | 100*(metric)/18.3 |
| % Collector-filterer individuals (pi_ffg_filt) | Increase | 100*(50.5-metric)/40.7 |
| % Shredder individuals (pi_ffg_shred) | Decrease | 100*(metric)/23 |
| % Intolerant individuals (pi_tv_intol) | Decrease | 100*(metric)/51.5 |
| Becks Biotic Index (x_Becks) | Decrease | 100*(metric)/36.8 |
| Metric (abbrev) | Response to stress | Scoring formula |
|---|---|---|
| Number of total taxa (nt_total) | Decrease | 100*(metric)/61.8 |
| % Plecoptera individuals (pi_Pleco) | Decrease | 100*(metric)/18.3 |
| % Collector-filterer individuals (pi_ffg_filt) | Increase | 100*(50.5-metric)/40.7 |
| % Shredder individuals (pi_ffg_shred) | Decrease | 100*(metric)/23 |
| % Intolerant individuals (pi_tv_intol) | Decrease | 100*(metric)/51.5 |
| Becks Biotic Index (x_Becks) | Decrease | 100*(metric)/50.6 |
| Metric (abbrev) | Response to stress | Scoring formula |
|---|---|---|
| Number of total taxa (nt_total) | Decrease | 100*(metric)/34.9 |
| % EPT taxa (pt_EPT) | Decrease | 100*(metric)/54.5 |
| % Ephemeroptera individuals, excluding Caenidae and Baetidae (pi_Ephem NoCaeBae) | Decrease | 100*(metric)/13.9 |
| % Collector-filterer individuals (pi_ffg_filt) | Increase | 100*(79.9-metric)/66.9 |
| % Predator taxa (pt_ffg_pred) | Decrease | 100*(metric)/28.5 |
| % Intolerant taxa (pt_tv_intol) | Decrease | 100*(metric)/39.1 |
| Metric (abbrev) | Response to stress | Scoring formula |
|---|---|---|
| Number of total taxa (nt_total) | Decrease | 100*(metric)/55.8 |
| % EPT taxa (pt_EPT) | Decrease | 100*(metric)/54.5 |
| % Ephemeroptera individuals, excluding Caenidae and Baetidae (pi_Ephem NoCaeBae) | Decrease | 100*(metric)/13.9 |
| % Collector-filterer individuals (pi_ffg_filt) | Increase | 100*(79.9-metric)/66.9 |
| % Predator taxa (pt_ffg_pred) | Decrease | 100*(metric)/28.5 |
| % Intolerant taxa (pt_tv_intol) | Decrease | 100*(metric)/39.1 |
| Metric (abbrev) | Response to stress | Scoring formula |
|---|---|---|
| % POET taxa (Plecoptera, Odonata, Ephemeroptera, and Trichoptera) (pt_POET) | Decrease | 100*(metric)/40 |
| % Predator taxa (pt_ffg_pred) | Decrease | 100*(metric)/32 |
| % Non-insect taxa (pt_NonIns) | Increase | 100*(46-metric)/42 |
| % OET individuals (Odonata, Ephemeroptera, and Trichoptera) (pi_OET) | Decrease | 100*(metric)/49 |
| % Tolerant taxa (pt_tv_toler) | Increase | 100*(36-metric)/33 |
| % Semivoltine taxa (pt_volt_semi) | Decrease | 100*(metric)/12 |


Find out if there are any packages that depend on a specific package (the reverse of "apt depends").
Python script to download all YouTube Vanced files at once.
youtube-dl is a command-line program to download videos from YouTube.com and a few more sites.
Vanced provides a better YT experience out of the box! Includes adblocking, true amoled dark mode and a lot more.
Browser extension and an API that shows you dislikes on Youtube.
A toolbox with super neat tools about languages, grammars, automata and regular expressions amongst other things.


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WITNESS LIST
Higher Education
August 23, 2016 9:00 AM
Charge: Tuition/Fee Waivers and Set-Asides, and Financial Aid
ON:
Banks, Yannis (Texas naacp), Austin, TX
Cavazos, C. Leroy Vice President of Government Relations (Self; San Antonio Hispanic
Chamber of Commerce), San Antonio, TX
Colburn, Rufus Director, Veterans Education (also providing written testimony) (Texas
Veterans Commission), Austin, TX
Colyandro, John Executive Director (also providing written testimony) (TCCRI), Austin,
TX
Groves, Garrett (also providing written testimony) (Center for Public Policy Priorities),
Austin, TX
Moreno, Celina Legislative Affairs Attorney (Self; Mexican American Legal Defense and
Education Fund), San Antonio, TX
Newton, John Analyst (also providing written testimony) (Legislative Budget Board),
Austin, Texas, TX
Paredes, Raymund Commissioner (also providing written testimony) (Texas Higher
Education Coordinating Board), Austin, TX
Pingel, Sarah Dr. Pingel (also providing written testimony) (Education Commission of the
States), Denver, CO
Puente, Jaime (Self; Texas Graduate Student Diversity), Austin, TX
Saldana Harmon, Belinda President-elect (also providing written testimony) (Self; Texas
Association of Chicanos in Higher Educatiom), San Antonio, TX
Starr, Brantley Deputy First Assistant Attorney General (Office of Attorney General),
Austin, TX
Tallant, Steven President texas a&m university Kingsville (Texas A & M University
Kingsville), Kingsville, TX
Registering, but not testifying:
ON:
Hernandez, Demetrio (Legislative Budget Board), Austin, TX
Owens, Greg Lbb budget analyst (Legislative budget board), Austin, TX
Pool, Jeff Lbb Analyst (Lbb), Austin, TX
Providing written testimony:
ON:
Anderson, Jeremy President (Education Commission of the States), Denver, CO
Crawford, Teri Vice Chancellor (San Jacinto College), Pasadena, TX
Cruser, Kevin (Texas Woman's University), Austin, TX
Quinzi, Patty Legislative Counsel, TX American Fed. Of Teachers (Texas - American
Federation of Teachers), Austin, TX


This version of Globi Explorer supports up to {{modalData.maxLevel}} levels of network exploration.
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Or Cancel to stay on the current page and select any earlier node in the network.


I am totally copying this file I found online to act like I'm making my own website.
Worked in the Accounting Department of a local food distributor for the summer. Worked with Target Data Systems, Entree software, checked in drivers returning from daily routes, etc.
Assisted with dog license registration, data entry, organization, delivered dog tags to local businesses for distribution.
GPA: 3.748
GPA: 4.48
I ran cross country and track in high school, and try to run when I can. I am an avid fan of the Cleveland Cavaliers in the NBA and Arsenal FC in the English Premier League. I also root for the Cleveland Indians and for some reason I sometimes associate with the Cleveland Browns.
I enjoy hiking, fishing, snowboarding, just generally being outdoors. I am an amateur photographer, coder, and occasional player of video games including Skyrim, Chivalry, and DotA. I have visited several countries, most in Europe, and enjoy travelling to new places.


| I l@ve RuBoard |
The last group of resources for Python users consists of support companies, consultants and trainers.
Python Professional Services, Inc., is a company that provides various types of technical support for Python and related modules. Their URL is http://www.pythonpros.com.
While there is at present no online listing of Python consultants, several experienced Python users are available for short- and long-term consulting work. Check www.python.org for information, and feel free to post a request for help on the Python newsgroup. If you want to keep your inquiries more private, email<EMAIL_ADDRESS>Finally, several training programs are available for companies who wish to have onsite classes for their employees. No global listing is available at present, but might be available by the time you read this. Again, check http://www.python.org, the newsgroup or<EMAIL_ADDRESS>| I l@ve RuBoard |


Just some notes, findings and tips from my workshop.
Never knew what %%
does. It gives the mode…
7 %% 2
## [1] 1
Exponetial smoothing
Straight line through the data….
forcast
packge defaults to Akaike’s Information Criterion (AIC) for it’s selection…
Some tools that my tutors made:
setwd("/Users/rosseji/Dropbox/TrendLock/ISF/forecasting with R/")
# Load the three time series, as before
ts1 <- ts(scan("ts1.txt"), start=c(2011,1), frequency=4)
ts2 <- ts(scan("ts2.txt"), start=c(2011,1), frequency=12)
ts3 <- ts(scan("ts3.txt"), start=c(2011,1), frequency=12)
# Let us store the time series to be explored in variable `y' so that we can
# repeat the analysis easily with new data if needed.
y <- ts2
# First we plot the series to get a general impression
plot(y)
# ----- Trend -----
# Let us look for trend in the data, by calculating the Centred Moving
# Average
cma <- cmav(y, outplot=1)
## Model is being refit with current smoothing parameters but initial states are being re-estimated.
## Set 'use.initial.values=TRUE' if you want to re-use existing initial values.
print(cma)
## Jan Feb Mar Apr May Jun Jul
## 2011 2659.533 2673.576 2687.619 2701.662 2715.705 2729.748 2743.792
## 2012 2857.417 2877.625 2900.708 2926.958 2951.000 2970.708 2985.583
## 2013 3097.250 3123.875 3152.542 3174.375 3195.250 3215.542 3235.042
## 2014 3358.375 3382.542 3394.708 3402.625 3412.292 3430.125 3458.042
## 2015 3614.167 3654.917 3696.167 3729.208 3762.042 3793.042 3824.042
## Aug Sep Oct Nov Dec
## 2011 2757.833 2781.042 2801.042 2813.125 2834.042
## 2012 2998.333 3008.833 3025.167 3051.875 3076.500
## 2013 3251.208 3268.625 3290.833 3313.750 3335.208
## 2014 3486.667 3517.083 3543.583 3564.083 3585.500
## 2015 3855.042 3886.042 3917.042 3948.043 3979.043
cmav(y, outplot=1, fill=T)
## Model is being refit with current smoothing parameters but initial states are being re-estimated.
## Set 'use.initial.values=TRUE' if you want to re-use existing initial values.
## Jan Feb Mar Apr May Jun Jul
## 2011 2659.533 2673.576 2687.619 2701.662 2715.705 2729.748 2743.792
## 2012 2857.417 2877.625 2900.708 2926.958 2951.000 2970.708 2985.583
## 2013 3097.250 3123.875 3152.542 3174.375 3195.250 3215.542 3235.042
## 2014 3358.375 3382.542 3394.708 3402.625 3412.292 3430.125 3458.042
## 2015 3614.167 3654.917 3696.167 3729.208 3762.042 3793.042 3824.042
## Aug Sep Oct Nov Dec
## 2011 2757.833 2781.042 2801.042 2813.125 2834.042
## 2012 2998.333 3008.833 3025.167 3051.875 3076.500
## 2013 3251.208 3268.625 3290.833 3313.750 3335.208
## 2014 3486.667 3517.083 3543.583 3564.083 3585.500
## 2015 3855.042 3886.042 3917.042 3948.043 3979.043
#Seasonality
seasplot(ts2)
## Model is being refit with current smoothing parameters but initial states are being re-estimated.
## Set 'use.initial.values=TRUE' if you want to re-use existing initial values.
## Results of statistical testing
## Evidence of trend: TRUE (pval: 0)
## Evidence of seasonality: TRUE (pval: 0)
seasplot(ts1)
## Model is being refit with current smoothing parameters but initial states are being re-estimated.
## Set 'use.initial.values=TRUE' if you want to re-use existing initial values.
## Results of statistical testing
## Evidence of trend: FALSE (pval: 0.623)
## Evidence of seasonality: FALSE (pval: 0.392)
Addative vs Multiplicative
An argument in decompse. In the ts below we can that the seasonality grows as time goes on (ie the y components widens)
plot(ts2)
Seeing internal trends… (like two peaks)
seasplot(y,outplot=3)
## Model is being refit with current smoothing parameters but initial states are being re-estimated.
## Set 'use.initial.values=TRUE' if you want to re-use existing initial values.
## Results of statistical testing
## Evidence of trend: TRUE (pval: 0)
## Evidence of seasonality: TRUE (pval: 0)
Test in a moving average
Non-paramatric test don’t assume norm dist and hence are closer to realistic data…
coxstuart(cma)
## $H
## [1] 1
##
## $p.value
## [1] 9.313226e-10
##
## $Htxt
## [1] "H1: There is trend (upwards or downwards)"
Test seasonality
seasplot(cma)
## Model is being refit with current smoothing parameters but initial states are being re-estimated.
## Set 'use.initial.values=TRUE' if you want to re-use existing initial values.
## Results of statistical testing
## Evidence of trend: TRUE (pval: 0)
## Evidence of seasonality: FALSE (pval: 0.097)
seasplot(ts2)
## Model is being refit with current smoothing parameters but initial states are being re-estimated.
## Set 'use.initial.values=TRUE' if you want to re-use existing initial values.
## Results of statistical testing
## Evidence of trend: TRUE (pval: 0)
## Evidence of seasonality: TRUE (pval: 0)
Instead of acf pacf tests?
plot(diff(ts2, 12))
plot(diff(y, 12))
yd <- diff(y, 1)
plot(yd)
ydd <- plot(diff(yd, 12))
ydd
## NULL