Government will be humiliated at referendum - Chamber of local governance
President of the Chamber of Local Governance Dr. Richard Fiadormor says the Akufo-Addo government will be humiliated with its ‘yes vote’ position if it goes ahead with the December 17 referendum.
President Akufo-Addo and his NPP party are canvassing for a ‘yes vote’ in the referendum which is to determine if political parties should be allowed to sponsor candidates in local level elections.
The opposition National Democratic Congress (NDC) and some civil society groups in the country are backing a ‘no vote’ claiming allowing political parties in local polls will further divide the country.
Speaking to Francis Abban on the Morning Starr Friday, Mr. Fiadormor said government should conisder cancelling the referendum.
“There wouldn’t be any consequence if the referendum is withdrawn.The government will be humiliated if they proceed with the Referendum. The assemblies are bleeding and that is why people say MMDCEs are doing nothing when in fact that may not necessarily be the case,” he said.
Article 55 (3) of the 1992 Constitution, which is an entrenched provision, states that “Subject to the provisions of this Article, a political party is free to participate in shaping the political will of the people, to disseminate information on political ideas, social and economic programmes of a national character; and sponsor candidates for election to any public office other than the district assemblies or lower local government units”.


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Newton’s Method¶
Overview¶
Newton’s method is one of the most popular numerical methods, and is even referred by Burden and Faires as the most powerful method that is used to solve for the equation \(f(x) = 0\). This method originates from the Taylor’s series expansion of the function \(f(x)\) about the point \(x1\):
where \(f\), and its first and second order derivatives, \(f'\) and \(f''\) are calculated at \(x_1\). If we take the first two terms of the Taylor’s series expansion we have:
We then set previous expression to zero (i.e \(f(x) = 0\) ) to find the root of the equation which gives us:
Rearranging the previous expression we obtain the next approximation to the root, giving us:
Thus generalizing previous expression we obtain Newton’s iterative method:
where \(x_{i} \rightarrow \bar{x}\) (as \(i \rightarrow \infty\)), and \(x\) is the approximation to a root of the function \(f(x)\).
Note: As the iterations begin to have the same repeated values i.e. as \(x_i = x_{i+1} = \bar{x}\) this is an indication that \(f(x)\) converges to \(\bar{x}\). Thus \(x_i\) is the root of the function \(f(x)\).
The Method¶
Step 1:¶
Let \(\mathbf{x}^{(0)}=\left(x_{1}^{(0)}, x_{2}^{(0)}, \ldots, x_{n}^{(0)}\right)\) be a given initial vector.
Step 2:¶
Calculate \(J\left(\mathbf{x}^{(0)}\right)\) and \(\mathbf{F}\left(\mathbf{x}^{(0)}\right)\).
Step 3:¶
We now have to calculate the vector \(\mathbf{y}^{(0)}\), where
In order to find \(\mathbf{y}^{(0)}\), we solve the linear system \(J\left(\mathbf{x}^{(0)}\right) \mathbf{y}^{(0)}=-\mathbf{F}\left(\mathbf{x}^{(0)}\right)\), using Gaussian Elimination.
Note: Rearranging the system in Step 3, we get that \(\mathbf{y}^{(0)}=-J\left(\mathbf{x}^{(0)}\right)^{-1} \mathbf{F}\left(\mathbf{x}^{(0)}\right)\). The significance of this is that, since \(\mathbf{y}^{(0)}=-J\left(\mathbf{x}^{(0)}\right)^{-1} \mathbf{F}\left(\mathbf{x}^{(0)}\right)\), we can replace \(-J\left(\mathbf{x}^{(0)}\right)^{-1} \mathbf{F}\left(\mathbf{x}^{(0)}\right)\) in our iterative formula with \(\mathbf{y}^{(0)}\). This result will yield that
Step 4:¶
Once \(\mathbf{y}^{(0)}\) is found, we can now proceed to finish the first iteration by solving for \(\mathbf{x}^{(1)}\). Thus using the result from Step 3, we have that
Step 5:¶
Once we have calculated \(\mathbf{x}^{(1)}\), we repeat the process again, until \(\mathbf{x}^{(k)}\) converges to \(\bar{x}\). This indicates we have reached the solution to \(\mathbf{F}(\mathbf{x})=\mathbf{0}\), where \(\bar{x}\) is the solution to the system.
Note: When a set of vectors converges, the norm \(\left\|\mathbf{x}^{(k)}-\mathbf{x}^{(k-1)}\right\|=0\). This means that
Usage¶
imagine that we want to solve the following nonlinear system of equations:
then the code will look like this:
// example_newton.cpp
#include <iostream>
#include "../src/numerary.hpp" // Numerary library
using namespace std;
using namespace numerary;
/* System to solve */
void system(double *x, double *fv, int n) {
fv[0] = x[0]*x[0] + x[1]*x[1] - 5;
fv[1] = x[1] - 3*x[0] + 5;
}
/* The main function */
int main() {
const int maxiter = 100; // Maximum interations for set method (100 by default)
const double eps = 1.e-7; // eps value for method (1.e-7 by default)
double *x = new double[2], *fv = new double[2];
short int is_solved;
// Initial point
x[0] = 1; x[1] = 2;
is_solved = Numerary::nonlinear_systems_of_equations(system, x, fv, 2, "newton", eps, maxiter);
if (is_solved == 1) {
cout << "Solved!" << endl;
cout << "x = " << x[0] << endl;
cout << "y = " << x[1] << endl;
} else {
cout << "Method not allowed!";
}
delete[] x;
delete[] fv;
return 0;
}


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
-1- IN THE HIGH COURT OF KARNATAKA AT BENGALURU DATED THIS THE 15TH DAY OF FEBRUARY 2016 PRESENT HON'BLE MR.SUBHRO KAMAL MUKHERJEE, ACTING CHIEF JUSTICE AND HON'BLE MR.JUSTICE RAVI MALIMATH WP Nos.8378-8380/2016 (GM-POL) BETWEEN : SRI GURUPRASAD S/O B.C.BASAVALINGAPPA AGED ABOUT 36 YEARS PROPRIETOR OF M/S. GURUKRUPA STONE CRUSHER R/O BASAVANA BEEDI ANANDAPURA, ANANDAPURA POST SAGAR TALUK, SHIMOGA DISTRICT. ... PETITIONER (By Sri R.L.PATIL, SR. ADVOCATE FOR Sri HARISH KUMAR M S, ADVOCATE) AND : 1. GOVERNMENT OF INDIA REPRESENTED BY PRINCIPAL SECRETARY DEPARTMENT OF MINISTRY OF ENVIRONMENT AND FOREST NO.A207, AGNI, II FLOOR INDIRA PARYAVARAN BHAVAN JORBAGH ROAD, ALIGADH NEW DELHI-110003. 2. STATE OF KARNATAKA REPRESENTED BY ITS PRINCIPAL SECRETARY VIDHANA SOUDHA DR.B.R.AMBEDKAR VEEDHI BANGALORE-560 001. 3. KARNATAKA STATE POLLUTION CONTROL BOARD REPRESENTED BY ITS MEMBER SECRETARY PARISARA BHAVAN, NO.49, CHURCH STREET BENGALURU-560 001. -2- 4. SENIOR ENVIRONMENT OFFICER KARNATAKA STATE POLLUTION CONTROL BOARD DIVISIONAL OFFICER CA NO.02, 3RD MAIN, KHB COLONY BEHIND PRAGATHI GRAMIN BANK NEAR K.H.B. OFFICER SADIK NAGAR ROAD CHITRADURGA-577 501 5. THE DISTRICT STONE CRUSHERS LICENSING AND REGULATION AUTHORITY SHIMOGA DISTRICT REPRESENTED BY ITS MEMBER SECRETARY SENIOR GEOLOGIST DEPARTMENT OF MINES & GEOLOGY SHIMOGA DISTRICT-571201. 6. SENIOR GEOLOGIST DEPARTMENT OF MINES & GEOLOGY SHIMOGA DISTRICT SHIMOGA-571201 ... RESPONDENTS (By Sri D.NAGARAJ, AGA FOR R.2 & 6) THESE WRIT PETITIONS ARE FILED UNDER ARTICLES 226 AND 227 OF THE CONSTITUTION OF INDIA PRAYING TO SET ASIDE THE ORDER PASSED BY KARNATAKA STATE POLLUTION CONTROL BOARD DATED 25.11.2015 ISSUING DIRECTION TO CLOSE THE STONE CRUSHING UNIT AT SY.NO.16 OF MASAGALLI VILLAGE, HOSANAGAR TALUK, SHIMOGA DISTRICT, AT ANNEXURE-T AND ETC., THESE WRIT PETITIONS COMING ON FOR PRELIMINARY HEARING THIS DAY, ACTING CHIEF JUSTICE MADE THE FOLLOWING: -3- ORDER
The order passed under Section 31-A of the Air (Prevention and Control of Pollution) Act, 1981 ('the said Act' for short), is impugned in these writ petitions.
2. Mr.D.Nagaraj, learned additional government advocate appearing for the State respondents raised a preliminary objection as to the maintainability of these writ petitions. He submits that the order impugned is appealable under Section 31 of the said Act.
3. Mr.R.L.Patil, learned senior advocate appearing for the writ petitioner, submits that when there has been infringement of fundamental rights and violation of natural justice, the writ petitions can be entertained by this Court in exercise of its discretion.
4. We accept the said submission of Mr.Patil, learned senior advocate, that there is no bar for entertaining these writ petitions. But, when the legislature has provided an appeal remedy on the facts and the law, we are slow in exercising our discretion in entertaining the writ petitions. -4-
5. Therefore, the writ petitions are disposed of granting liberty to the writ petitioner to approach the appellate Tribunal in accordance with law.
6. We express no opinion on the merits.
7. We make no order as to costs.
Sd/-
ACTING CHIEF JUSTICE Sd/-
JUDGE mv


class InventoryCommand used to print the player's inventory More...
Public Member Functions | |
| InventoryCommand () | |
| Constructor for InventoryCommand. More... | |
| boolean | execute (Player player) |
| Save the inventory into the message field. More... | |
| Public Member Functions inherited from pkg_commands.Command | |
| String | getParameter () |
| Parameter field getter. More... | |
| String | getSecondParameter () |
| Second Parameter field getter. More... | |
| void | setParameter (String parameter) |
| Parameter field setter. More... | |
| void | setSecondParameter (String parameter) |
| Second Parameter field setter. More... | |
| boolean | hasParameter () |
| Return true if the parameter is null. More... | |
| boolean | hasSecondParameter () |
| Return true if the second parameter is null. More... | |
| String | getMessage () |
| Message field getter. More... | |
| boolean | hasMessage () |
| Return true if the message is equal to null or "". More... | |
| abstract boolean | execute (Player player) throws NoArgumentException,pkg_exceptions.IllegalArgumentException,UnauthorizedException |
| Process the command. More... | |
Additional Inherited Members | |
| Protected Member Functions inherited from pkg_commands.Command | |
| void | setMessage (String message) |
| Message field setter. More... | |
class InventoryCommand used to print the player's inventory
Definition at line 9 of file InventoryCommand.java.
| pkg_commands.InventoryCommand.InventoryCommand | ( | ) |
| boolean pkg_commands.InventoryCommand.execute | ( | Player | player | ) |
Save the inventory into the message field.
| player | The player that called this command |
Definition at line 23 of file InventoryCommand.java.
References pkg_world.Player.getInventory(), and pkg_commands.Command.setMessage().


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If you are looking for new or used books at a great price, there are many places to buy from. But one place is highly recommended. BetterWorldBooks.com not only carries a large selection of books on all subject they do it for a social cause. They sell books for profit to raise money for literacy initiatives worldwide. Their website claims they have contributed to literacy events in Africa including the Invisible Children (of Uganda). They also save books from landfills by recycling them.
Online research shows that BetterWorldBooks.com is a genuine company and they are indeed making a social contribution to raising literacy in Africa. and buy from them or are they just running. Even CNN has done a story on them highlighting their passion and goodwill. BetterWorldBooks.com donates about 10% of their profits to the cause of literacy worldwide (which is more than what Target and a few other famous companies give) It also assures that students and other customers are getting their books at a price much below retail. If you believe in getting cheap books and also making your money work for a great social cause, buy all your books from BetterWorldBooks.com
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| switch_mod.project.unitcommit | index /Users/siah/src/switch/switch_mod/project/unitcommit/__init__.py |
This package adds unit commitment decisions and impacts.
The core modules in the package are commit and fuel_use. The discrete
module is optional and enforces discrete unit commitment.
I wrote some magic sauce so that you can treat this package as a module
that includes all of the core modules instead of having to refer to them
individually. This means you can either specify your module list as:
switch_modules = ('timescales', 'financials', 'load_zones', 'fuels',
'gen_tech', 'project.build', 'project.dispatch',
'project.unitcommit')
or as
switch_modules = ('timescales', 'financials', 'load_zones', 'fuels',
'gen_tech', 'project.build', 'project.dispatch',
'project.unitcommit.commit', 'project.unitcommit.fuel_use')
You will get an error if you include both the package and the core modules,
because they are redundant.
| Package Contents | ||||||
|
| Data | ||
| core_modules = ['switch_mod.project.unitcommit.commit', 'switch_mod.project.unitcommit.fuel_use'] |


Brand
Active
Link
Dropdown
Action
Another action
Something else here
Dropdown header
Separated link
One more separated link
Link
Dropdown
Action
Another action
Something else here
Separated link
Mark all as complete


Preparation time
30 mins to 1 hour
Cooking time
10 to 30 mins
Serves
2
Remove any visible fat from the pork and cut into cubes
In a large non-stick pan or wok heat a drizzle of olive oil and brown the pork. Keep it moving to stop it burning.
Dice the aubergine and season with salt. Add it to the pan with the pork and cook for a minute or two.
Add the coconut milk. Stir until the pork and aubergine are coated then add the wine.
Now add the curry paste and stir in well. Add the fish sauce, sugar and lime leaves and cook for 8-10 minutes.
Add the shredded basil leaves before serving.
Cook the rice in boiling water according to packet instructions along with the lemon grass, garlic, chilli, ginger and lime leaves.
Drain well and discard the herbs and spices. Serve alongside the pork.


Mouse: left button down - rotate, right button down pan, mouse wheel - zoom
The Cheddar Survey "Therion" 3D file by University of Bristol Spelaeological Society is released under a
Creative Commons license.
Contains Ordnance Survey data © Crown copyright and database right 2015.
Contains DTM data © Environment Agency copyright and/or database right 2015.
Contains British Geological Survey materials ©NERC 2016.


|
143. Long Live the Queen Time Limit: 0.2 sec, Memory Limit: 1 MB The Queen of Byteland is very loved by her people. In order to show her their love, the Bytelanders have decided to conquer a new country which will be named according to the queen's name. This new country contains N towns. The towns are connected by bidirectional roads and there is exactly ONE path between any two towns, walking on the country's roads. For each town, the profit it brings to the owner is known. Although the Bytelanders love their queen very much, they don't want to conquer all the N towns for her. They will be satisfied with a non-empty subset of these towns, with the following 2 properties: there exists a path from every town in the subset to every other town in the subset walking only through towns in the subset and the profit of the subset is maximum. The profit of a subset of the N towns is equal to the sum of the profits of the towns which belong to the subset. Your task is to find the maximum profit the Bytelanders may get. Input The first line of input will contain the number of towns N (1<=N<=16 000). The second line will contain N integers: the profits for each town, from 1 to N. Each profit is an integer number between -1000 and 1000. The next N-1 lines describe the roads: each line contains 2 integer numbers a and b, separated by blanks, denoting two different towns between which there exists a road. Output The output should contain one integer number: the maximum profit the Bytelanders may get. Sample Input 5 -1 1 3 1 -1 4 1 1 3 1 2 4 5 Sample Output 4 | ||||||
|


|
This page last changed on Dec 14, 2004 by plightbo.
- Improved integration with Sitemesh
- WebWork taglibs can be used in Sitemesh decorators to access Action properties
- Validator short-circuiting to allow validation to stop on first invalid data
- Improved class hierarchy resource bundle searching
- File upload support has been rebuilt to allow for multiple files with the same HTTP parameter name. Besides "cos" and "pell" support, "jakarta" support has been added, utilizing the Commons-FileUpload library. Only "jakarta" supports multiple files with the same HTTP parameter name. In future versions "jakarta" may become the default upload library, replacing "pell".
| Version | Description | Old Code | New Code |
| 2.1 | There is a new validator DTD: xwork-validator-1.0.2.dtd. You aren't required to use this, but you will need to if you wish to use the new short-circuiting validation | N/A | N/A |
| 2.1 | File upload support has been rebuilt, although we don't see any compatibility problems with 2.1. However, many of the methods in MultiPartRequest have become deprecated in favor of new ones. Please switch to these as soon as possible. | N/A | N/A |
|


To a listener object. But our program does not have one, yet.
In analogy to window events, you would expect that there would be a ButtonAdapter class used as a base class for button listener objects. But there isn't. You need to define the complete class of a button listener from scratch.
A button listener class must
implement the ActionListener
interface.
ActionListener
is an interface (not a class)
that contains the
single method:
public void actionPerformed( ActionEvent evt) ;The
ActionEvent
parameter it expects
is an Event
object that represents an event (a button click).
It contains information that can be used
in responding to the event.
Since ActionListener
is an interface,
you use it with a class that will implement the
actionPerformed()
method.
It is common to implement the interface in the same class that contains the button(s):
public class ButtonDemo2 extends JFrame implements ActionListener { JButton bChange; // constructor for ButtonDemo2 ButtonDemo2() { getContentPane().setLayout( new FlowLayout() ); bChange = new JButton("Click Me!"); getContentPane().add( bChange ); } // listener method implemented for the ActionListener interface public void actionPerformed( ActionEvent evt) { . . . . . . } public static void main ( String[] args ) { ButtonDemo2 frm = new ButtonDemo2(); . . . . . } }
This approach is different from that used with the
WindowEvent
of the previous chapter.
There the WindowAdapter
class was extended to
define a separate class for the listener.
Here the same class that holds the component is also the listener for it.


S-SQL and Postgresql Arrays
Table of Contents
- Summary
- Use cases for arrays in a database
- S-SQL Array Support
- Array Operators
- Array Comparison Operators
- := Equality Comparison (Are two arrays equal on an element by element basis)
- :<> Not Equal Comparison
- :< Less Than Comparison
- :> Greater Than Comparison
- :>= Greater Than or Equal to Comparison
- :<= Less Than or Equal To Comparison
- :@> Contains Comparison
- :<@ Is Contained By Comparison
- :&& Has Elements in Common Comparison
- Array Concatenation Operators
- Array Comparison Operators
- Array functions
Summary
Postmodern/s-sql can be used to insert ommon lisp arrays into postgresql databases, pull postgresql database arrays out of databases into a common lisp array, and generally engage in all the ways that sql can use postgresql arrays. Postgresql arrays are documented at https://www.postgresql.org/docs/current/static/arrays.html and https://www.postgresql.org/docs/current/static/functions-array.html.
This page will go into more detail on how to use the available operators and functions in s-sql.
Use cases for arrays in a database
General Usage
Arrays are a first class datatype within postgresql. The contents can only be of a single datatype and postgresql will enforce that typing. You can either use arrays as a datatype stored in the database or there may be reasons why you want to use them as an intermediate datatype in a query.
There is a bit of controversy over the use of the array datatype in a database. There are those who adamantly oppose it, claiming that it is a violation of 1NF form (normalization). It is easy to use arrays for the wrong reason in a database and there can be other consequences which need to be taken into consideration - loss of referential integrity, updating one slot in the array will require re-reading the entire array, and some other lost search flexibility immediately come to mind. Like any design process decision, there are reasons when you should design a database that is fully normalized and use cases when denormalization can lead to speed and memory savings. You can read some of the points at https://news.ycombinator.com/item?id=4415754. Another article suggests that yould should not use arrays if you are going to have to keep accessing items in the array by position for types that are variable in length (hstores, jsonb, varchars, text). In such a case postgresql has to scan the array to find the nth element because it stores variable length items as arrays of values, not as an array of pointers to values. The article does not discuss using GIN indexes on the array. It does suggest using the postgresql unnest sql function to resolve some of these issues since it parses an array and returns a set of sets of entries (one entry per row (the subset) and the total as the superset. An example of using unnest in s-sql is set out below.
I would agree with Dimitri Fontaine who points out that "arrays can be used to denormalize data and avoid lookup tables. A good rule of thumb for using them is you mostly use the array as a whole, even if you might at times search for elements in the array." As he notes, "..heavier processing is going to be more complex than a lookup table." https://tapoueh.org/blog/2018/04/postgresql-data-types-arrays/
Another way of saying it is to use arrays if you are storing "lists" of things, not if you are storing lists of "things".
It really depends on your use case. If you need speed and very simple lookups, then arrays might be what you want because your physical storage looking at fewer table pages. If it is not a really simple lookup, use many-to-many tables because the lookup will take more time with an array than the physical storage seeking cost.
At the same time, do not forget that you can use postgresql arrays in an intermediate step in a query or as the result of the query. They can be used in ways other than database table storage.
The postgresql documentation provides an employee pay example where the pay-by-quarter is a one-dimensional array and the schedule is a two dimensional array.
CREATE TABLE sal_emp ( name text, pay_by_quarter integer[], schedule text[][] );
I have seen suggestions that arrays can replace separate many-to-many tables in relationships, e.g.
CREATE TABLE posts ( title TEXT, tags TEXT[] ); -- Select all posts with tag 'kitty' SELECT * FROM posts WHERE tags @> '{kitty}';
THIS IS NOT THE SAME AS PUTTING FOREIGN KEYS INTO THE ARRAY! DO NOT DO THAT! Part of the reason for using an ACID database is to ensure integrity and putting foreign keys into an array prevents the database from enforcing the integrity of the foreign keys.
One very interesting write-up took a slightly different approach. Instead of putting the one-to-many relationship directly in the posts table, it replaced a many-to-many table (linking a document table with a tag table) with a tags-array table (linking to the document table) and compared the size and speed metrics with the normal m-t-m table. See:
http://www.databasesoup.com/2015/01/tag-all-things.html, http://www.databasesoup.com/2015/01/tag-all-things-part-2.html, http://www.databasesoup.com/2015/01/tag-all-things-part-3.html
In this case, it found searching for documents using the tag array approach to be much faster than the normal normalized approach, as well as having a smaller storage size.
The s-sql version for creating the table currently requires a separate create table and two separate create index commands
(query (:create-table documents ((doc-id :type integer :constraint 'dockey-id :primary-key 't :unique) (text :type text)))) (query (:create-table doc-tags-array ((doc-id :type integer :references ((documents doc-id))) (tags :type text[] :default "{}")))) (query (:create-unique-index 'doc-tags-id-doc-id :on "doc-tags-array" :fields 'doc-id)) (query (:create-index 'doc-tags-id-tags :on "doc-tags-array" :using gin :fields 'tags))
And then the corresponding searches for one tag and two (or more) tags would be:
(query (:limit (:order-by (:select 'doc-id :from 'doc-tags-array :where (:@> 'tags (:array[] "math"))) 'doc-id) 25 0)) (query (:limit (:order-by (:select 'doc-id :from 'doc-tags-array :where (:@> 'tags (:array[] "math" "physics"))) 'doc-id) 25))
Note that is was a one-to-many relationship. If you need a many-to-many (mtm or m-t-m) relationship, you would need two sets of arrays.
A similar approach was examined in https://medium.com/@leshchuk/mtm-on-arrays-in-postgresql-a97f3c50b8c6 which concluded that if you do not need referential integrity in the one-to-many or many-to-many relationship, the array length is in the tens rather than hundreds or thousands, and you use a GIN index, there is a speed and memory benefit to using an array to contain the relationship ids compared to a mtm table. This is particularly the case if the relations are disproportionate - e.g. 1 million documents and 100 tags. In those tests, the cost of joins exceeded the indexed access speed of using arrays.
One use case is to reduce the number of columns in a table where you are using the array as an atomic data unit. If you discover that you are doing a lot of searches and joins on array slots, this is likely to be a bad design.
Another use case is to store machine learning model weights which are a 2d array of numbers.
The MADlib advanced statistical and machine learning addon extension for postgresql and greenplum uses arrays for intputs into its algorithms.
Sidenote: The greenplum massively parallel database project is a fork from postgresql and is a bit behind on the standard postgresql functionality.
In any case, s-sql may have available calls to postgresql functions which are not in the database version you are programming to.
See also https://www.compose.com/articles/take-a-dip-into-postgresql-arrays/
Rules of Thumb - Do Not Use Arrays If:
- Do not use arrays where you need to maintain integrity for foreign relationships. That is what
foreign keys are for.
- Do not use arrays if you have to change the items in the array frequently.
- Do not use arrays if you rely on an ORM unless you have ensured
that the ORM can utilize arrays.
Data Type Enforcement
Compared to jsonb, postgresql arrays allow you to enforce the data type. This can be critical in both maintaining the integrity of your data as well as optimization in your appliction code. This database enforeced type safety does not, however, enforce the dimensionality of the array.
Indices on Arrays
It is highly recommended that you use GIN or GIST indexes to search for items in array column. You should remember that GIST indices are lossy while GIN indices are lossless.
S-SQL Array Support
S-sql can feel a little messy with respect to arrays but that is in large part because (a) sql dealing with arrays is messy and (b) postgresql has both an array[] constructor and an array function.
If you are just translating between a lisp array and a postgresql array, then postmodern handles the data type translation fairly easily as can be seen in the examples below.
Generally speaking, there are three base s-sql array operators to know:
:array (used inside a query calling a subquery, selecting into an array)
The format of the call is:
(:array (query))
Example:
(query (:order-by (:select 'r.rolename (:as (:array (:select 'b.rolename :from (:as 'pg_catalog.pg-auth-members 'm) :inner-join (:as 'pg-catalog.pg-roles 'b) :on (:= 'm.roleid 'b.oid) :where (:= 'm.member 'r.oid ))) 'memberof) :from (:as 'pg-catalog.pg-roles 'r)) 1))
:array[] (declares an array and returns an array
The format of the call is:
(:array[] (&rest args))
Examples:
(query (:select (:array[] 2 6)) :single) #(2 6) (query (:select (:array[] (:/ 15 3) (:pi) 6)) :single) #(5.0d0 3.141592653589793d0 6.0d0)
Note that in the second example, the value of 6 is returned as a float because the entire array must be the same type.
:[] (used when you want a slice of an array
The format of the call is:
(:[] (form start &optional end))
Example:
(let ((arry1 #(2 6 7 12))) (query (:select (:[] arry1 2 3)) :single)) #(6 7)
General Usage Examples
Just to make these usage examples really simple, we will use the simplest use case version discussed above, with a tags array in a table with the name of the item. In this case the name is the name of a receipe and the tags are ingredients that either go in the receipe or accompany the receipe.
First to create the table and the indexes. The index on 'name is the default B-tree index. The index on the tags is a GIN index.
(query (:create-table receipes ((name :type text) (tags :type text[] :default "{}")))) (query (:create-unique-index 'receipe-tags-id-name :on "receipes" :fields 'name)) (query (:create-index 'receipe-tags-id-tags :on "receipes" :using gin :fields 'tags))
Now use :insert-rows-into to populate the table. Notice we are actually passing in lisp arrays and it is automatically inserted in the table as a postgresql array.
(query (:insert-rows-into 'receipes :columns 'name 'tags :values '(("Fattoush" #("greens" "pita bread" "olive oil" "garlic" "lemon" "salt" "spices")) ("Shawarma" #("meat" "tahini sauce" "pita bread")) ("Baba Ghanoush" #("pita bread" "olive oil" "eggplant" "tahini sauce")) ("Shish Taouk" #("chicken" "lemon juice" "garlic" "paprika" "yogurt" "tomato paste" "pita bread")) ("Kibbe nayeh" #("raw meat" "bulgur" "onion" "spices" "pita bread")) ("Manakeesh" #("meat" "cheese" "zaatar" "kishik" "tomatoes" "cucumbers" "mint leaves" "olives")) ("Fakafek" #("chickpeas" "pita bread" "tahini sauce")) ("Tabbouleh" #("bulgur" "tomatoes" "onions" "parsley")) ("Kofta" #("minced meat" "parsley" "spices" "onions")) ("Kunafeh" #("cheese" "sugar syrup" "pistachios")) ("Baklava" #("filo dough" "honey" "nuts")))))
This will automatically insert the required square brackets into the sql statement being passed to postgresql. This automatic translation between lisp and postgresql arrays does not work where you need a postgresql function in a query. (The database function is not going to be in a lisp array.) For that you need to use the :array[] sql-op. E.g.
Sample desired sql statement:
(SELECT ARRAY[(1 / 2)]::FLOATS[]);
S-sql version
(query (:select (:type (:array[] (:/ 1 2)) float[])))
First we can start by checking for records that have a specific tag
(query (:select 'receipe-id 'tags :from 'receipe-tags-array :where (:@> 'tags (:array[] "bulgur")))) (("Tabbouleh" #("bulgur" "tomatoes" "onions" "parsley")) ("Kibbe nayeh" #("raw meat" "bulgur" "onions" "spices" "pita bread")))
We should look at this return a bit closer. As you might expect in postmodern, this query returns list of lists and each sublist contains the string name. What may be unexpected is that the second item in each sublist is actually a lisp array.
Extending this to checking for items with two specific tags:
(query (:select 'receipe-id 'tags :from 'receipe-tags-array :where (:@> 'tags (:array[] "bulgur" "parsley")))) (("Tabbouleh" #("bulgur" "tomatoes" "onions" "parsley")))
As you should expect, we can also pass in a lisp variable which is an array, in this case we are using the :&& operator which acts as an 'or' logical test:
(let ((tst-arry #("parsley" "cheese"))) (query (:order-by (:select '* :from 'receipes :where (:&& 'tags tst-arry)) 'name))) '(("Manakeesh" #("meat" "cheese" "zaatar" "kishik" "tomatoes" "cucumbers" "mint leaves" "olives")) ("Tabbouleh" #("bulgur" "tomatoes" "onions" "parsley")) ("Kofta" #("minced meat" "parsley" "spices" "onions")) ("Kunafeh" #("cheese" "sugar syrup" "pistachios")))
Validating that this is returning a vector:
(type-of (query (:select 'tags :from 'receipes :where (:= 'name "Manakeesh")) :single)) '(SIMPLE-VECTOR 8)
We can also check the length of the array or cardinality:
(query (:select (:cardinality 'tags) :from 'receipes :where (:= 'name "Manakeesh")) :single)
Updating the array can be done either explicitly:
;;; Update array with an lisp array (changing onion to onions in the one row where it is singular (query (:update 'receipes :set 'tags #("raw meat" "bulgur" "onions" "spices" "pita bread") :where (:= 'name "Kibbe nayeh")))
or passing in a lisp variable:
;;; checking passing a lisp array as a variable (let ((lisp-arry #("wine" "garlic" "soy sauce"))) (query (:update 'receipes :set 'tags '$1 :where (:= 'name 11)) lisp-arry))
If you are selecting a slice of a postgresql array, then use :[]. At this point it is a good reminder that postgresql arrays start at 1, not at 0. The first parameter following the field name is the starting point of the slice to return. The second parameter is the end point of the slice to return (defaulting to the starting point).
(query (:select (:[] 'tags 2) :from 'receipes :where (:= 'name 3))) '(("olive oil")) (query (:select (:[] 'tags 2 3) :from 'receipes :where (:= 'name 3))) '((#("olive oil" "eggplant")))
If you are sub-selecting into a postgresql array, postgresql switches from square brackets to parens, so in s-sql you need to use :array. E.g.
Sample desired sql statement:
SELECT r.rolname, ARRAY(SELECT b.rolname FROM pg_catalog.pg_auth_members m JOIN pg_catalog.pg_roles b ON (m.roleid = b.oid) WHERE m.member = r.oid) as memberof FROM pg_catalog.pg_roles r ORDER BY 1; **************************
And now the s-sql version. Here, because we are selecting into an array, we need to use just :array
(query (:order-by (:select 'r.rolename (:as (:array (:select 'b.rolename :from (:as 'pg_catalog.pg-auth-members 'm) :inner-join (:as 'pg-catalog.pg-roles 'b) :on (:= 'm.roleid 'b.oid) :where (:= 'm.member 'r.oid ))) 'memberof) :from (:as 'pg-catalog.pg-roles 'r)) 1))
The postgresql unnest function (:unnest ..) expands every array entry into a separate row. In the following select, we pull out all the distinct tags in a list of lists where every list has a single tag entry.
(query (:order-by (:select (:as (:unnest 'tags) 'tag) :distinct :from 'receipes) 'tag)) '(("bulgur") ("cheese") ("chicken") ("chickpeas") ("cucumbers") ("eggplant") ("filo dough") ("garlic") ("greens") ("honey") ("kishik") ("lemon") ("lemon juice") ("meat") ("minced meat") ("mint leaves") ("nuts") ("olive oil") ("olives") ("onions") ("paprika") ("parsley") ("pistachios") ("pita bread") ("raw meat") ("salt") ("spices") ("sugar syrup") ("tahini sauce") ("tomatoes") ("tomato paste") ("yogurt") ("zaatar"))
We can use with and group-by operators to count the unique tags:
(query (:order-by (:with (:as 'p (:select (:as (:unnest 'tags) 'tag) :from 'receipes)) (:select 'tag (:as (:count 'tag) 'cnt) :from 'p :group-by 'tag)) (:desc 'cnt) 'tag)) '(("pita bread" 6) ("onions" 3) ("spices" 3) ("tahini sauce" 3) ("bulgur" 2) ("cheese" 2) ("garlic" 2) ("meat" 2) ("olive oil" 2) ("parsley" 2) ("tomatoes" 2) ("chicken" 1) ("chickpeas" 1) ("cucumbers" 1) ("eggplant" 1) ("filo dough" 1) ("greens" 1) ("honey" 1) ("kishik" 1) ("lemon" 1) ("lemon juice" 1) ("minced meat" 1) ("mint leaves" 1) ("nuts" 1) ("olives" 1) ("paprika" 1) ("pistachios" 1) ("raw meat" 1) ("salt" 1) ("sugar syrup" 1) ("tomato paste" 1) ("yogurt" 1) ("zaatar" 1))
Yes, there are array-append, array-replace etc operators
(query (:update 'receipes :set 'tags (:array-append 'tags "appended-items") :where (:= 'name "Kibbe nayeh"))) (query (:update 'receipes :set 'tags (:array-replace 'tags "spices" "chocolate")))
The above two versions checked all the row, even those without the target string, effectively the equivalent of not using the index.
You can use a different operator that more effectively uses the GIN index and just touches the rows with the targeted string in the array:
(query (:update 'receipes :set 'tags (:array-replace 'tags "chocolate" "spices") :where (:<@ "{\"chocolate\"}" 'tags)))
The use of the :any* operator needs to be considered as a special case. Quoting Marijn Haverbeke here,"Postgres has both a function-call-style any and an infix any, and S-SQL's syntax doesn't allow them to be distinguished." As a result, s-sql has a regular :any sql-op and a :any* sql-op, which expand slightly differently.
To show the difference, look at the sql statements that are generated by the two operators :any* and :any
(sql (:select '* :from 'receipes :where (:= "chicken" (:any* 'tags )))) "(SELECT * FROM receipes WHERE (E'chicken' = ANY(tags)))" (sql (:select '* :from 'receipes :where (:= "chicken" (:any 'tags )))) "(SELECT * FROM receipes WHERE (E'chicken' = ANY tags))"
In the following two cases we want to use ':any*'. In the first simple query, we are looking for everything in the rows where the name of the receipe is in the lisp array we passed in.
In the second query we look for all the rows where the string "chicken" appears in any of the tag arrays.
(query (:select '* :from 'receipes :where (:= 'name (:any* '$1))) #("Trout" "Shish Taouk" "Hamburger")) '(("Shish Taouk" #("chicken" "lemon juice" "garlic" "paprika" "yogurt" "tomato paste" "pita bread"))) (query (:select '* :from 'receipes :where (:= '$1 (:any* 'tags ))) "chicken") '(("Shish Taouk" #("chicken" "lemon juice" "garlic" "paprika" "yogurt" "tomato paste" "pita bread")))
We can look for rows where x or y is found in the tags array. This uses the or operator which looks like :&&.
(query (:order-by (:select '* :from 'receipes :where (:&& 'tags (:array[] '$1 '$2))) 'name) "parsley" "cheese") '(("Manakeesh" #("meat" "cheese" "zaatar" "kishik" "tomatoes" "cucumbers" "mint leaves" "olives")) ("Tabbouleh" #("bulgur" "tomatoes" "onions" "parsley")) ("Kofta" #("minced meat" "parsley" "spices" "onions")) ("Kunafeh" #("cheese" "sugar syrup" "pistachios")))
There are also specific operators for "contains" (:@>) and "contained-by" (:<@). This comparison is done on an element by element basis, so is easily thought of as whether the elements in array1 are a subset of the elements in array2 or vice versa.
The following examples should be easy to follow.
In the first example we are looking for rows where the elements of an array composed of the two strings passed in as parameters is contained by the row in the database.
In the second example, we have flipped the parameters and operator around. We are looking for rows from the database table which contain the elements of an array composed of the two strings passed in as parameters.
(query (:order-by (:select '* :from 'receipes :where (:<@ (:array[] '$1 '$2) 'tags)) 'name) "tomatoes" "cheese") '(("Manakeesh" #("meat" "cheese" "zaatar" "kishik" "tomatoes" "cucumbers" "mint leaves" "olives"))) (query (:order-by (:select '* :from 'receipes :where (:@> 'tags (:array[] '$1 '$2))) 'name) "tomatoes" "cheese") '(("Manakeesh" #("meat" "cheese" "zaatar" "kishik" "tomatoes" "cucumbers" "mint leaves" "olives")))
In the following two examples, we do something similar, but we are looking to see if the tags array in any row in the database table is a subset of the small two element array we are passing in. The answer is nil.
(query (:order-by (:select '* :from 'receipes :where (:@> (:array[] '$1 '$2) 'tags)) 'name) "tomatoes" "cheese") nil (query (:order-by (:select '* :from 'receipes :where (:<@ 'tags (:array[] '$1 '$2))) 'name) "tomatoes" "cheese") nil
Array Operators
Array Comparison Operators
Per postgresql documentation array comparisons compare the array contents element-by-element, using the default B-tree comparison function for the element data type. In multidimensional arrays the elements are visited in row-major order (last subscript varies most rapidly). If the contents of two arrays are equal but the dimensionality is different, the first difference in the dimensionality information determines the sort order.
Form is (:operator array1 array2)
:= Equality Comparison (Are two arrays equal on an element by element basis)
(query (:select (:= (:array[] 1 2 3) (:array[] 1 2 3))) :single) T (query (:select (:= (:array[] "a" "b" "c") (:array[] "a" "b" "c"))) :single) T (query (:select (:= (:type (:array[] 1 2 3) integer[]) (:array[] 1 2 3))) :single) T (query (:select (:= (:array[] 1 2 3) (:array[] 1 4 3))) :single) nil (query (:select (:= (:type (:array[] 1 2 3) integer[]) (:array[] 1 2 3 5))) :single) nil (let ((arry1 #(1 2 3)) (arry2 #(1 2 3))) (query (:select (:= arry1 arry2)) :single)) T
:<> Not Equal Comparison
(query (:select (:<> (:array[] 1 2 3) (:array[] 1 2 4))) :single) T
:< Less Than Comparison
(query (:select (:< (:array[] 1 2 3) (:array[] 1 2 4))) :single) T
:> Greater Than Comparison
(query (:select (:> (:array[] 1 4 3) (:array[] 1 2 4))) :single) T
:>= Greater Than or Equal to Comparison
(query (:select (:>= (:array[] 1 4 3) (:array[] 1 4 3))) :single) T
:<= Less Than or Equal To Comparison
(query (:select (:<= (:array[] 1 2 3) (:array[] 1 2 3))) :single) T
:@> Contains Comparison
(query (:select (:@> (:array[] 1 4 3) (:array[] 3 1))) :single) T (query (:select (:@> (:array[] 1 4 73) (:array[] 3 0))) :single) nil
:<@ Is Contained By Comparison
(query (:select (:<@ (:array[] 2 7) (:array[] 1 7 4 2 6))) :single) T (query (:select (:<@ (:array[] 1 4 3) (:array[] 3 1))) :single) nil
:&& Has Elements in Common Comparison
(query (:select (:&& (:array[] 1 4 3) (:array[] 3 1))) :single) T
Array Concatenation Operators
Form (:|| item1 item2 …)
:|| Concatentation Arrays and Elements
(query (:select (:|| 3 (:array[] 4 5 6))) :single) #(3 4 5 6) (query (:select (:|| (:array[] 4 5 6) 7)) :single) #(4 5 6 7) (query (:select (:|| (:array[] 1 2) (:array[] 3 4))) :single) #(1 2 3 4) (query (:select (:|| 1 (:type "[0:1]={2,3}" int[]))) :single) #(1 2 3) (query (:select (:|| 3 (:array[] 4 5 6) (:array[] 7 8 9) 10)) :single) #(3 4 5 6 7 8 9 10)
:|| Concatenation with Multi-Dimensional Arrays
(query (:select (:|| (:array[] 1 2 3) (:array[] (:array[] 4 5 6) (:array[] 7 8 9)))) :single) #2A((1 2 3) (4 5 6) (7 8 9))
Array functions
Array-prepend
Form: (:array-prepend (array1 element)) Appends an element to the beginning of an array
(query (:select (:array-prepend 1 (:array[] 2 3))) :single) #(1 2 3)
array-append
Form: (:array-append (array1 element)) Appends an element to the end of an array.
(query (:select (:array-append (:array[] 4 5 6) 7)) :single) #(4 5 6 7)
array-cat
Form: (:array-cat (array1 array2)) Concatenates two arrays. No more, no less. Both arrays need to have the same data type.  This only works with one dimensional arrays
(query (:select (:array-fill 7 (:array[] 3))) :single)
#(7 7 7)
array-length
Form: (:array-length (array1 array-dimension)) Returns the length of the requested array dimension. In the following example, we request the first array dimension.
(query (:select (:array-length (:array[] 1 2 3) 1 )) :single) 3 (query (:select (:array-length (:array[] #(#(1 2 3)#(4 5 6))) 1)) :single) 1 (query (:select (:array-length (:array[] #(#(1 2 3)#(4 5 6))) 2)) :single) 2
array-lower
Form: (:array-lower (&rest args)) Array-lower returns the lower bound of the requested array dimension.
(query (:select (:array-lower (:type "[0:2]={1,2,3}" integer[]) 1)) :single) 0
array-position
Form: (:array-position (array element starting-point-if-not-one)) Array-position returns the subscript of the first occurrence of the second argument in the array, starting at the element indicated by the third argument or at the first element. The array must be one-dimensional. Requires postgresql version 9.5 or newer.
(query (:select (:array-position (:array[] "sun" "mon" "tue" "wed" "thu" "fri" "sat") "mon")) :single) 2
array-positions
Form: (:array-positions (array element)) Array-positions (note the plural) returns an array of subscripts of all occurrences of the second argument in the array given as the first argument. The array must be one-dimensional. Requires postgresql version 9.5 or newer.
(query (:select (:array-positions (:array[] "A" "A" "B" "A") "A")) :single) #(1 2 4)
array-remove
Form: (:array-remove (array element)) Array-remove removes all elements equal to the given value from the array (array must be one-dimensional). Requires postgresql 9.3 or newer.
(query (:select (:array-remove (:array[] "A" "A" "B" "A") "B")) :single) #("A" "A" "A")
Obviously inside a selection query array-remove only removes the elements from the returning set and does not change the underlying data..
array-replace
Form: (:array-replace (array element-to-be-replaced element-used-as-replacement)) Array-replaces replaces each array element equal to the given value with a new value. Requires postgresql 9.3 or newer.
(query (:select (:array-replace (:array[] 1 2 5 4) 5 3)) :single) #(1 2 3 4)
array-to-string
Form: (:array-to-string (array delimiter optional-null-string)) Array-to-string concatenates array elements using supplied delimiter and optional null string.
(query (:select (:array-to-string (:array[] 1 2 3 :NULL 5) "," "*")) :single) "1,2,3,*,5"
array-upper
Form: (:array-upper (array int)) Array-upper returns upper bound of the requested array dimension.
(query (:select (:array-upper (:array[] 1 8 3 7) 1)) :single) 4
cardinality
Form: (:cardinality (array)) Returns the total number of elements in the array or 0 if the array is empty. Requires postgresql 9.4 or newer.
(query (:select (:array-length (:array[] 1 2 3) 1 )) :single) 3
string-to-array
Form: (:string-to-array (text delimiter optional-null-string)) String-to-array splits a string into array elements using the supplied delimiter and optional null string.
(query (:select (:string-to-array "xx~^~yy~^~zz" "~^~" "yy")) :single) #("xx" :NULL "zz")
unnest
Form: (:unnest (array)) Unnest expands an array to a set of rows.
(query (:select (:unnest (:array[] 1 2)))) '((1) (2))
It is possible to call unnest with multiple arrays, but this is only allowed in the from clause of the query. See https://www.postgresql.org/docs/current/static/queries-table-expressions.html#QUERIES-TABLEFUNCTIONS
array-agg
Form: (:array-agg (expression)) Array-agg returns the result in an array (both sql and, in postmodern, a lisp array).
Note the fourth example (available only in postgresql versions 9.4 or newer) filters out null values.
Like all the aggregate functions, you can pass :filter, :distinct or :order-by (in that order) as additional parameters.
(query (:select (:array-agg 'name) :from 'receipes) :single) #("Fattoush" "Shawarma" "Baba Ghanoush" "Shish Taouk" "Kibbe nayeh" "Manakeesh" "Fakafek" "Tabbouleh" "Kofta" "Kunafeh" "Baklava") (query (:select (:array-agg 'city :distinct) :from 'employee) :single) #("New York" "Toronto" "Vancouver") (query (:select (:array-agg 'city :distinct :order-by (:desc 'city)) :from 'employee) :single) #("Vancouver" "Toronto" "New York") (query (:select 'city (:array-agg 'salary :filter (:< 'salary 50000)) :from 'employee :group-by 'city)) (("Vancouver" #(14420 26020)) ("New York" #(40420 40620)) ("Toronto" #(24020)))
NULL and nil
An empty array will be returned by postmodern as nil.


{% extends "_layout/base.html" %} {% block whoweare %} {% endblock whoweare %} {% block executivecommittee %} {% endblock executivecommittee %} {% block members %}
| Name | Position | Organization |
|---|---|---|
| {{ member.name }} | {{ member.position }} | {{ member.organization }} |
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries.


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This method is used to determine the directions of the three
principal stresses (σ1, σ2, σ3) from slickenside planes and striations.
The slickenside plane is drawn as a great circle into a projection. Then a great circle is drawn normal to the striation (auxiliary plane). These two planes divide the globe into an extensional and a compressional dihedron.
If compressional and extensional dihedra of several
displacement
data are superposed, the intersection of compressional dihedra contains
s1, and the intersection of the extensional dihedra contains
s3


{% extends 'base.html' %} {% block content %}
Liffey Valley Athletics Club are an Islandbridge based club welcoming new members.
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We are located near the Phoenix Park or meet us on Facebook


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Airports
| Name | Address | City | Country |
|---|
Flights
| From | To | Stops | Departure date | Arrival date | Bags | First class price | Business class price | Economy class price | Grade | Actions |
|---|
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| End date: | |
| Income: | |
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| Stops: | |
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| Rows in first class: | |
| Rows in business class: | |
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| Ticket price for business class: | |
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| Country: | |
| Latitude: | |
| Longitude: |
| Dimensions: | |
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| Price: |
| Dimensions | Weight | Price |
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| Name: | |
| Address: | |
| Place: | |
| Country: | |
| Latitude: | |
| Longitude: | |
| Description: |
Info | |
| Description: | |
| Destination: |
| Name | Address | City | Country |
|---|
| From | To | Stops | Departure date | Arrival date | Bags | First class price | Business class price | Economy class price | Grade | Actions |
|---|
| Start date: | |
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Maid with the Flaxen Hair
Taylor Swift
Maid with the Flaxen Hair
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Maid with the Flaxen Hair
Taylor Swift
Maid with the Flaxen Hair
Taylor Swift
Maid with the Flaxen Hair
Taylor Swift
Maid with the Flaxen Hair
Taylor Swift
Maid with the Flaxen Hair
Taylor Swift


I, , Filipino, of legal age, with permanent address at , after being sworn in accordance with law, hereby depose and state that:
I am applying for at ,
I have submitted the following documents:
Transcript of Records
PRC license ID
PRC Verification
NBI Clearance
CSC form 211 (Medical Certificate)
NSO Birth Certificate
Statement of Assets, Liabilities and Networth (SALN)
BIR Form 1902 or 2305
Marriage Contract (if applicable)
I am executing this Certification to attest to the authenticity and veracity of all documents submitted.
By executing this Omnibus Certification of Authenticity and Vercity of Documents, I hereby authorize the Department of Education, Division of through the School Principal, to verify the authenticity of the above mentioned documents.
Signature over printed name
Date


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Counter is used for example to place number of each row in table. It can be set to have start value, end value, interval.
To create Counter, select it from object toolbar, and place it on the page inside container (Static or Dynamic balloon) like shown in the picture below.
To set specific properties for the Counter, select it on the page like shown in the picture below.
Specific properties for the Counter are:
ForeColor, color of the text.
Font, name and size of the font use to display the text.
StartValue, start value of the counter.
EndValue, end value of the counter. (He won't count over this number)
Looping, loop determines if you want to count from start if you get to the end value or just stop counting.
IntervalValue, interval is value of the step used to count.
FormatValue, format for displaying final text. use next symbols ({S} - Start value, {E} - End value, {C} - actual counting)
Example:
"Something {C} of {E} with begin at {S}" gives next result,
"Something 10 of 100 with begin at 0" for example. (Start = 0, End = 100, Counter value = 10)
Of course you can put only {C} symbol and get pure counting.


For someone who has lived through the .com bubble the madness currently unfolding in the crypto space is just plain breathtaking. It is quite awe inspiring to see people make the exact same mistakes they made 17 years ago. Of course, today’s investors are likely different people who, for the most part, have not lived through the .com bubble.
Those of you who are looking to read more about the topic or learn some basics about cryptoassets can check the end of this blog post, where I am simply collecting some interesting links that I believe are worth a look.
Before we startI need to establish some basic definitions. To me, there are three different kinds of Cryptoassets:
a) Cryptocurrencies := Cryptoassets that are mainly used to store value, speculate or transact on the blockchain. Examples are Bitcoin, Litecoin and Dash as well as ZCash.
b) Platforms or true Utility token := Cryptoasstets that enable decentralized applications (DApps) or enable other token to trade on their blockchain. Examples would include Ethereum, Lisk, Blockstack or Tezos (when they launch)
c) Security token := any and all ICOs that are sold to investors so that they can speculate on the progress of a start up. This would include TenX, Monaco, Status and Iconomi amongst a host of others.


Actions, resources, and condition keys for AWS Glue
AWS Glue (service prefix:
glue
) provides the following service-specific resources, actions, and condition context keys for use in IAM permission policies.
References:
-
Learn how to configure this service .
-
View a list of the API operations available for this service .
-
Learn how to secure this service and its resources by using IAM permission policies.
Actions defined by AWS Glue
You can specify the following actions in the
Action
element of an IAM policy statement. Use policies to grant permissions to perform an operation in AWS. When you use an action in a policy, you usually allow or deny access to the API operation or CLI command with the same name. However, in some cases, a single action controls access to more than one operation. Alternatively, some operations require several different actions.
The
Resource types
column of the Actions table indicates whether each action supports resource-level permissions. If there is no value for this column, you must specify all resources ("*") to which the policy applies in the
Resource
element of your policy statement. If the column includes a resource type, then you can specify an ARN of that type in a statement with that action. If the action has one or more required resources, the caller must have permission to use the action with those resources. Required resources are indicated in the table with an asterisk (*). If you limit resource access with the
Resource
element in an IAM policy, you must include an ARN or pattern for each required resource type. Some actions support multiple resource types. If the resource type is optional (not indicated as required), then you can choose to use one of the optional resource types.
The
Condition keys
column of the Actions table includes keys that you can specify in a policy statement's
Condition
element. For more information on the condition keys that are associated with resources for the service, see the
Condition keys
column of the Resource types table.
For details about the columns in the following table, see Actions table .
| Actions | Description | Access level | Resource types (*required) | Condition keys | Dependent actions |
|---|---|---|---|---|---|
| BatchCreatePartition | Grants permission to create one or more partitions | Write | |||
| BatchDeleteConnection | Grants permission to delete one or more connections | Write | |||
| BatchDeletePartition | Grants permission to delete one or more partitions | Write | |||
| BatchDeleteTable | Grants permission to delete one or more tables | Write | |||
| BatchDeleteTableVersion | Grants permission to delete one or more versions of a table | Write | |||
| BatchGetBlueprints | Grants permission to retrieve one or more blueprints | Read | |||
| BatchGetCrawlers | Grants permission to retrieve one or more crawlers | Read | |||
| BatchGetCustomEntityTypes | Grants permission to retrieve one or more Custom Entity Types | Read | |||
| BatchGetDevEndpoints | Grants permission to retrieve one or more development endpoints | Read | |||
| BatchGetJobs | Grants permission to retrieve one or more jobs | Read | |||
| BatchGetPartition | Grants permission to retrieve one or more partitions | Read | |||
| BatchGetTriggers | Grants permission to retrieve one or more triggers | Read | |||
| BatchGetWorkflows | Grants permission to retrieve one or more workflows | Read | |||
| BatchStopJobRun | Grants permission to stop one or more job runs for a job | Write | |||
| BatchUpdatePartition | Grants permission to update one or more partitions | Write | |||
| CancelDataQualityRuleRecommendationRun | Grants permission to stop a running Data Quality rule recommendation run | Write | |||
| CancelDataQualityRulesetEvaluationRun | Grants permission to stop a running Data Quality ruleset evaluation run | Write | |||
| CancelMLTaskRun | Grants permission to stop a running ML Task Run | Write | |||
| CancelStatement | Grants permission to cancel a statement in an interactive session | Write | |||
| CheckSchemaVersionValidity | Grants permission to retrieve a check the validity of schema version | Read | |||
| CreateBlueprint | Grants permission to create a blueprint | Write | |||
| CreateClassifier | Grants permission to create a classifier | Write | |||
| CreateConnection | Grants permission to create a connection | Write | |||
| CreateCrawler | Grants permission to create a crawler | Write | |||
| CreateCustomEntityType | Grants permission to create a Custom Entity Type | Write | |||
| CreateDataQualityRuleset | Grants permission to create a Data Quality ruleset | Write | |||
| CreateDatabase | Grants permission to create a database | Write | |||
| CreateDevEndpoint | Grants permission to create a development endpoint | Write | |||
| CreateJob | Grants permission to create a job | Write | |||
| CreateMLTransform | Grants permission to create an ML Transform | Write | |||
| CreatePartition | Grants permission to create a partition | Write | |||
| CreatePartitionIndex | Grants permission to create a specified partition index in an existing table | Write | |||
| CreateRegistry | Grants permission to create a new schema registry | Write | |||
| CreateSchema | Grants permission to create a new schema container | Write | |||
| CreateScript | Grants permission to create a script | Write | |||
| CreateSecurityConfiguration | Grants permission to create a security configuration | Write | |||
| CreateSession | Grants permission to create an interactive session | Write | |||
| CreateTable | Grants permission to create a table | Write | |||
| CreateTrigger | Grants permission to create a trigger | Write | |||
| CreateUserDefinedFunction | Grants permission to create a function definition | Write | |||
| CreateWorkflow | Grants permission to create a workflow | Write | |||
| DeleteBlueprint | Grants permission to delete a blueprint | Write | |||
| DeleteClassifier | Grants permission to delete a classifier | Write | |||
| DeleteColumnStatisticsForPartition | Grants permission to delete the partition column statistics of a column | Write | |||
| DeleteColumnStatisticsForTable | Grants permission to delete the table statistics of columns | Write | |||
| DeleteConnection | Grants permission to delete a connection | Write | |||
| DeleteCrawler | Grants permission to delete a crawler | Write | |||
| DeleteCustomEntityType | Grants permission to delete a Custom Entity Type | Write | |||
| DeleteDataQualityRuleset | Grants permission to delete a Data Quality ruleset | Write | |||
| DeleteDatabase | Grants permission to delete a database | Write | |||
| DeleteDevEndpoint | Grants permission to delete a development endpoint | Write | |||
| DeleteJob | Grants permission to delete a job | Write | |||
| DeleteMLTransform | Grants permission to delete an ML Transform | Write | |||
| DeletePartition | Grants permission to delete a partition | Write | |||
| DeletePartitionIndex | Grants permission to delete a specified partition index from an existing table | Write | |||
| DeleteRegistry | Grants permission to delete a schema registry | Write | |||
| DeleteResourcePolicy | Grants permission to delete a resource policy | Permissions management | |||
| DeleteSchema | Grants permission to delete a schema container | Write | |||
| DeleteSchemaVersions | Grants permission to delete a range of schema versions | Write | |||
| DeleteSecurityConfiguration | Grants permission to delete a security configuration | Write | |||
| DeleteSession | Grants permission to delete an interactive session after stopping the session if not already stopped | Write | |||
| DeleteTable | Grants permission to delete a table | Write | |||
| DeleteTableVersion | Grants permission to delete a version of a table | Write | |||
| DeleteTrigger | Grants permission to delete a trigger | Write | |||
| DeleteUserDefinedFunction | Grants permission to delete a function definition | Write | |||
| DeleteWorkflow | Grants permission to delete a workflow | Write | |||
| DeregisterDataPreview | Grants permission to terminate Glue Studio Notebook session | Permissions management | |||
| GetBlueprint | Grants permission to retrieve a blueprint | Read | |||
| GetBlueprintRun | Grants permission to retrieve a blueprint run | Read | |||
| GetBlueprintRuns | Grants permission to retrieve all runs of a blueprint | Read | |||
| GetCatalogImportStatus | Grants permission to retrieve the catalog import status | Read | |||
| GetClassifier | Grants permission to retrieve a classifier | Read | |||
| GetClassifiers | Grants permission to list all classifiers | Read | |||
| GetColumnStatisticsForPartition | Grants permission to retrieve partition statistics of columns | Read | |||
| GetColumnStatisticsForTable | Grants permission to retrieve table statistics of columns | Read | |||
| GetConnection | Grants permission to retrieve a connection | Read | |||
| GetConnections | Grants permission to retrieve a list of connections | Read | |||
| GetCrawler | Grants permission to retrieve a crawler | Read | |||
| GetCrawlerMetrics | Grants permission to retrieve metrics about crawlers | Read | |||
| GetCrawlers | Grants permission to retrieve all crawlers | Read | |||
| GetCustomEntityType | Grants permission to read a Custom Entity Type | Read | |||
| GetDataCatalogEncryptionSettings | Grants permission to retrieve catalog encryption settings | Read | |||
| GetDataPreviewStatement | Grants permission to get Data Preview Statement | Permissions management | |||
| GetDataQualityResult | Grants permission to retrieve a Data Quality result | Read | |||
| GetDataQualityRuleRecommendationRun | Grants permission to retrieve a Data Quality rule recommendation run | Read | |||
| GetDataQualityRuleset | Grants permission to retrieve a Data Quality ruleset | Read | |||
| GetDataQualityRulesetEvaluationRun | Grants permission to retrieve a Data Quality rule recommendation run | Read | |||
| GetDatabase | Grants permission to retrieve a database | Read | |||
| GetDatabases | Grants permission to retrieve all databases | Read | |||
| GetDataflowGraph | Grants permission to transform a script into a directed acyclic graph (DAG) | Read | |||
| GetDevEndpoint | Grants permission to retrieve a development endpoint | Read | |||
| GetDevEndpoints | Grants permission to retrieve all development endpoints | Read | |||
| GetJob | Grants permission to retrieve a job | Read | |||
| GetJobBookmark | Grants permission to retrieve a job bookmark | Read | |||
| GetJobRun | Grants permission to retrieve a job run | Read | |||
| GetJobRuns | Grants permission to retrieve all job runs of a job | Read | |||
| GetJobs | Grants permission to retrieve all current jobs | Read | |||
| GetMLTaskRun | Grants permission to retrieve an ML Task Run | Read | |||
| GetMLTaskRuns | Grants permission to retrieve all ML Task Runs | List | |||
| GetMLTransform | Grants permission to retrieve an ML Transform | Read | |||
| GetMLTransforms | Grants permission to retrieve all ML Transforms | List | |||
| GetMapping | Grants permission to create a mapping | Read | |||
| GetNotebookInstanceStatus | Grants permission to retrieve Glue Studio Notebooks session status | Permissions management | |||
| GetPartition | Grants permission to retrieve a partition | Read | |||
| GetPartitionIndexes | Grants permission to retrieve partition indexes for a table | Read | |||
| GetPartitions | Grants permission to retrieve the partitions of a table | Read | |||
| GetPlan | Grants permission to retrieve a mapping for a script | Read | |||
| GetRegistry | Grants permission to retrieve a schema registry | Read | |||
| GetResourcePolicies | Grants permission to retrieve resource policies | Read | |||
| GetResourcePolicy | Grants permission to retrieve a resource policy | Read | |||
| GetSchema | Grants permission to retrieve a schema container | Read | |||
| GetSchemaByDefinition | Grants permission to retrieve a schema version based on schema definition | Read | |||
| GetSchemaVersion | Grants permission to retrieve a schema version | Read | |||
| GetSchemaVersionsDiff | Grants permission to compare two schema versions in schema registry | Read | |||
| GetSecurityConfiguration | Grants permission to retrieve a security configuration | Read | |||
| GetSecurityConfigurations | Grants permission to retrieve one or more security configurations | Read | |||
| GetSession | Grants permission to retrieve an interactive session | Read | |||
| GetStatement | Grants permission to retrieve result and information about a statement in an interactive session | Read | |||
| GetTable | Grants permission to retrieve a table | Read | |||
| GetTableVersion | Grants permission to retrieve a version of a table | Read | |||
| GetTableVersions | Grants permission to retrieve a list of versions of a table | Read | |||
| GetTables | Grants permission to retrieve the tables in a database | Read | |||
| GetTags | Grants permission to retrieve all tags associated with a resource | Read | |||
| GetTrigger | Grants permission to retrieve a trigger | Read | |||
| GetTriggers | Grants permission to retrieve the triggers associated with a job | Read | |||
| GetUserDefinedFunction | Grants permission to retrieve a function definition | Read | |||
| GetUserDefinedFunctions | Grants permission to retrieve multiple function definitions | Read | |||
| GetWorkflow | Grants permission to retrieve a workflow | Read | |||
| GetWorkflowRun | Grants permission to retrieve a workflow run | Read | |||
| GetWorkflowRunProperties | Grants permission to retrieve workflow run properties | Read | |||
| GetWorkflowRuns | Grants permission to retrieve all runs of a workflow | Read | |||
| GlueNotebookAuthorize | Grants permission to access Glue Studio Notebooks | Permissions management | |||
| GlueNotebookRefreshCredentials | Grants permission to refresh Glue Studio Notebooks credentials | Permissions management | |||
| ImportCatalogToGlue | Grants permission to import an Athena data catalog into AWS Glue | Write | |||
| ListBlueprints | Grants permission to retrieve all blueprints | List | |||
| ListCrawlers | Grants permission to retrieve all crawlers | List | |||
| ListCrawls | Grants permission to retrieve crawl run history for a crawler | List | |||
| ListCustomEntityTypes | Grants permission to retrieve all Custom Entity Types | List | |||
| ListDataQualityResults | Grants permission to retrieve all Data Quality results | List | |||
| ListDataQualityRuleRecommendationRuns | Grants permission to retrieve all Data Quality rule recommendation runs | List | |||
| ListDataQualityRulesetEvaluationRuns | Grants permission to retrieve all Data Quality rule recommendation runs | List | |||
| ListDataQualityRulesets | Grants permission to retrieve a list of Data Quality rulesets | List | |||
| ListDevEndpoints | Grants permission to retrieve all development endpoints | List | |||
| ListJobs | Grants permission to retrieve all current jobs | List | |||
| ListMLTransforms | Grants permission to retrieve all ML Transforms | List | |||
| ListRegistries | Grants permission to retrieve a list of schema registries | List | |||
| ListSchemaVersions | Grants permission to retrieve a list of schema versions | List | |||
| ListSchemas | Grants permission to retrieve a list of schema containers | List | |||
| ListSessions | Grants permission to retrieve a list of interactive session | List | |||
| ListStatements | Grants permission to retrieve a list of statements in an interactive session | List | |||
| ListTriggers | Grants permission to retrieve all triggers | List | |||
| ListWorkflows | Grants permission to retrieve all workflows | List | |||
| NotifyEvent | Grants permission to notify an event to the event-driven workflow | Write | |||
| PublishDataQuality [permission only] | Grants permission to publish Data Quality results | Write | |||
| PutDataCatalogEncryptionSettings | Grants permission to update catalog encryption settings | Write | |||
| PutResourcePolicy | Grants permission to update a resource policy | Permissions management | |||
| PutSchemaVersionMetadata | Grants permission to add metadata to schema version | Write | |||
| PutWorkflowRunProperties | Grants permission to update workflow run properties | Write | |||
| QuerySchemaVersionMetadata | Grants permission to fetch metadata for a schema version | List | |||
| RegisterSchemaVersion | Grants permission to create a new schema version | Write | |||
| RemoveSchemaVersionMetadata | Grants permission to remove metadata from schema version | Write | |||
| ResetJobBookmark | Grants permission to reset a job bookmark | Write | |||
| ResumeWorkflowRun | Grants permission to resume a workflow run | Write | |||
| RunDataPreviewStatement | Grants permission to run Data Preview Statement | Permissions management | |||
| RunStatement | Grants permission to run a code or statement in an interactive session | Write | |||
| SearchTables | Grants permission to retrieve the tables in the catalog | Read | |||
| StartBlueprintRun | Grants permission to start running a blueprint | Write | |||
| StartCrawler | Grants permission to start a crawler | Write | |||
| StartCrawlerSchedule | Grants permission to change the schedule state of a crawler to SCHEDULED | Write | |||
| StartDataQualityRuleRecommendationRun | Grants permission to start a Data Quality rule recommendation run | Write | |||
| StartDataQualityRulesetEvaluationRun | Grants permission to start a Data Quality rule recommendation run | Write | |||
| StartExportLabelsTaskRun | Grants permission to start an Export Labels ML Task Run | Write | |||
| StartImportLabelsTaskRun | Grants permission to start an Import Labels ML Task Run | Write | |||
| StartJobRun | Grants permission to start running a job | Write | |||
| StartMLEvaluationTaskRun | Grants permission to start an Evaluation ML Task Run | Write | |||
| StartMLLabelingSetGenerationTaskRun | Grants permission to start a Labeling Set Generation ML Task Run | Write | |||
| StartNotebook | Grants permission to start Glue Studio Notebooks | Permissions management | |||
| StartTrigger | Grants permission to start a trigger | Write | |||
| StartWorkflowRun | Grants permission to start running a workflow | Write | |||
| StopCrawler | Grants permission to stop a running crawler | Write | |||
| StopCrawlerSchedule | Grants permission to set the schedule state of a crawler to NOT_SCHEDULED | Write | |||
| StopSession | Grants permission to stop an interactive session | Write | |||
| StopTrigger | Grants permission to stop a trigger | Write | |||
| StopWorkflowRun | Grants permission to stop a workflow run | Write | |||
| TagResource | Grants permission to add tags to a resource | Tagging | |||
| TerminateNotebook | Grants permission to terminate Glue Studio Notebooks | Permissions management | |||
| TestConnection | Grants permission to test connection in Glue Studio | Permissions management | |||
| UntagResource | Grants permission to remove tags associated with a resource | Tagging | |||
| UpdateBlueprint | Grants permission to update a blueprint | Write | |||
| UpdateClassifier | Grants permission to update a classifier | Write | |||
| UpdateColumnStatisticsForPartition | Grants permission to update partition statistics of columns | Write | |||
| UpdateColumnStatisticsForTable | Grants permission to update table statistics of columns | Write | |||
| UpdateConnection | Grants permission to update a connection | Write | |||
| UpdateCrawler | Grants permission to update a crawler | Write | |||
| UpdateCrawlerSchedule | Grants permission to update the schedule of a crawler | Write | |||
| UpdateDataQualityRuleset | Grants permission to update a Data Quality ruleset | Write | |||
| UpdateDatabase | Grants permission to update a database | Write | |||
| UpdateDevEndpoint | Grants permission to update a development endpoint | Write | |||
| UpdateJob | Grants permission to update a job | Write | |||
| UpdateJobFromSourceControl | Grants permission to update a job from source control provider | Write | |||
| UpdateMLTransform | Grants permission to update an ML Transform | Write | |||
| UpdatePartition | Grants permission to update a partition | Write | |||
| UpdateRegistry | Grants permission to update a schema registry | Write | |||
| UpdateSchema | Grants permission to update a schema container | Write | |||
| UpdateSourceControlFromJob | Grants permission to update source control provider from a job | Write | |||
| UpdateTable | Grants permission to update a table | Write | |||
| UpdateTrigger | Grants permission to update a trigger | Write | |||
| UpdateUserDefinedFunction | Grants permission to update a function definition | Write | |||
| UpdateWorkflow | Grants permission to update a workflow | Write | |||
| UseGlueStudio | Grants permission to use Glue Studio and access its internal APIs | Permissions management | |||
| UseMLTransforms [permission only] | Grants permission to use an ML Transform from within a Glue ETL Script | Write |
Resource types defined by AWS Glue
The following resource types are defined by this service and can be used in the
Resource
element of IAM permission policy statements. Each action in the
Actions table
identifies the resource types that can be specified with that action. A resource type can also define which condition keys you can include in a policy. These keys are displayed in the last column of the Resource types table. For details about the columns in the following table, see
Resource types table
.
| Resource types | ARN | Condition keys |
|---|---|---|
| catalog |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:catalog
|
|
| database |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:database/$
{
DatabaseName}
|
|
| table |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:table/$
{
DatabaseName}/$
{
TableName}
|
|
| tableversion |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:tableVersion/$
{
DatabaseName}/$
{
TableName}/$
{
TableVersionName}
|
|
| connection |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:connection/$
{
ConnectionName}
|
|
| userdefinedfunction |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:userDefinedFunction/$
{
DatabaseName}/$
{
UserDefinedFunctionName}
|
|
| devendpoint |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:devEndpoint/$
{
DevEndpointName}
|
|
| job |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:job/$
{
JobName}
|
|
| trigger |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:trigger/$
{
TriggerName}
|
|
| crawler |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:crawler/$
{
CrawlerName}
|
|
| workflow |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:workflow/$
{
WorkflowName}
|
|
| blueprint |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:blueprint/$
{
BlueprintName}
|
|
| mlTransform |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:mlTransform/$
{
TransformId}
|
|
| registry |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:registry/$
{
RegistryName}
|
|
| schema |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:schema/$
{
SchemaName}
|
|
| session |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:session/$
{
SessionId}
|
|
| dataQualityRuleset |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:dataQualityRuleset/$
{
RulesetName}
|
|
| customEntityType |
arn:$
{
Partition}:glue:$
{
Region}:$
{
Account}:customEntityType/$
{
CustomEntityTypeId}
|
Condition keys for AWS Glue
AWS Glue defines the following condition keys that can be used in the
Condition
element of an IAM policy. You can use these keys to further refine the conditions under which the policy statement applies. For details about the columns in the following table, see
Condition keys table
.
To view the global condition keys that are available to all services, see Available global condition keys .
| Condition keys | Description | Type |
|---|---|---|
| aws:RequestTag/${TagKey} | Filters access by the presence of tag key-value pairs in the request | String |
| aws:ResourceTag/${TagKey} | Filters access by tag key-value pairs attached to the resource | String |
| aws:TagKeys | Filters access by the presence of tag keys in the request | ArrayOfString |
| glue:CredentialIssuingService | Filters access by the service from which the credentials of the request is issued | String |
| glue:RoleAssumedBy | Filters access by the service from which the credentials of the request is obtained by assuming the customer role | String |
| glue:SecurityGroupIds | Filters access by the ID of security groups configured for the Glue job | ArrayOfString |
| glue:SubnetIds | Filters access by the ID of subnets configured for the Glue job | ArrayOfString |
| glue:VpcIds | Filters access by the ID of the VPC configured for the Glue job | ArrayOfString |


What is pair programming.
Pair programming is when two programmers work together to colaborate on code. One person takes a driver role and the other person takes a navigator role and they combine their skills, including programming, problem solving and communication, to solve the problem.
Why is pair programming important ?
Pair programming is important because it allows you to switch off roles and learn both by watching someone more experienced and from having someone experienced mentor you while you learn. It allows allows for easy collaboration as well as quick editing and code checking.
Compare driver and navigator
The way Rayan and Shea envisioned driver navigator was the driver role has their hands on the keyboard. They are inputting the code directly and collaborating with the navigator through the progress as well as implementing the actual code. The navigators role is more big picture. They are conceptualizing the code and instructing the driver on what they should be working on, along with getting constant feedback on the direction of the project. We switched off, having Shea drive during the HTML and Rayan drive during the CSS portion which really helped Shea out because he felt a lot weaker at CSS and it helped to watch someone who knew a deeper level of CSS.
Shea's reflection
Rayan and I had a very nice rapport. I think we communicated really well and got the task done nicely. I appreciated his help with the CSS. I think that pairs are really good tools when you both communicate well. The hardest part seems to be geting that correct. Once you communicate well, you can figure out any challenge.


| # | Name | Scientist | NA | Type | Matching Regions |
Entered | Sample Name |
|---|---|---|---|---|---|---|---|
| {{ sequence.accession }} | {{ sequence.name }} | {{ sequence.scientist }} | {{ sequence.na_type }} | {{ sequence.type }} | {{ sequence.regions | pick: search.isRegionSelected | join: ' ' }} | {{ sequence.entered_date }} | {{ sequence.sample_name }} |


Custom version
You can customize your version of ridestyler.ui by editing Sass files in /src
directory or removing unneeded components from .scss
source files.
Compiling CSS
ridestyler.ui uses Gulp for compiling CSS. Firstly you need to install NPM, which is used to manage Gulp and other dependencies.
Then, you can build the CSS file from the command line:
- Navigate to the root directory of ridestyler.ui.
- Run
npm install
. NPM will install all dev dependencies as listed in package.json. - When completed, run
gulp build
task to compile Sass to CSS and minify files. - You can find compiled CSS files in
/dist
directory.
All available Gulp tasks:
gulp build
- compile both the CSS and documentationgulp scss
- compile just the CSSgulp docs
- compile just the documentationgulp fonts
- compile the icon fontgulp watch
- watch file changes and re-compile CSS files and documentation as neededgulp serve
- start a web-server hosting the documentation; watch for file changes and live-reload as needed.
Importing SCSS
It is recommended to customize ridestyler.ui by importing SCSS source files to your projects. In this way, you can keep ridestyler.ui up to date without conflicts, since ridestyler.ui code and your custom code are separate.
- First, create your own project and install ridestyler.ui via NPM or other package managers.
- Then inside your on SCSS file override variables as needed and import ridestyler.ui
- Compile the SCSS file to CSS to get the custom version of ridestyler.ui.
// Define variables to override default ones
$primary-color: #2e5bec;
$dark-color: #3e396b;
// Import full ridestyler.ui source code
@import "~ridestyler.ui";
Folder structure
ridestyler.ui/
├── dist/ // Build folder
│ ├── rsui.css
│ ├── rsui.min.css
│ ├── rsui-icons.css // Icons-only build
│ └── rsui-icons.min.css
│
├── docs/
│ ├── dist/ // Pre-built CSS folder
│ │ ├── rsui.min.css
│ │ └── rsui-icons.min.css
│ ├── css/ // Built docs CSS files
│ │ └── docs.css
│ ├── src/
│ │ ├── scss // Docs Sass files
│ │ │ └── docs.scss
│ │ ├── index.pug // Docs Pug files
│ │ └── ...
│ ├── ../
│ ├── index.html
│ └── ...
│
├── src/ // Source Sass files
│ ├── index.scss
│ ├── _mixins.scss
│ ├── _variables.scss
│ └── ...
│
├── gulpfile.js
├── package.json
└── ...
Variables
ridestyler.ui is designed with consistent design language. You can use your own variables to create your new or match existing design. All variables in _variables.scss
include !default
flag. You can redefine the variables to override the values.
Variables - Colors
Variables - Button mixins
There is a button variant mixin in _mixins.scss
to generate different color variants.
- @mixin button-variant(
$color
: $primary-color);
<!-- filled button with the success color -->
.btn-success {
@include button-variant($success-color);
}
Variables - Sizes
The default REM (root em) size in ridestyler.ui is .


HL7 is an Internationally accepted messaging protocol which can be adopted by any profession. HL7 standards are developed through the dedicated collaboration of over 4,000 volunteers worldwide who represent healthcare vendors, providers, payers, policy makers, consultants and others.


About
Hieu is a lazy employee (at HUST) and a devoted dreamer. He used to be a prolific blogger, a street photographer, and a reluctant translator. He likes playing and creating ... things :-)
Stuffs
- Signals and Systems
- Digital Signal Processing
- Digital Communications
- Fingerprint verification
- UWB Communication Systems
Recent
- Tea addict
- Secure voice communications
- Machine Learning
- Running


|
Wages of Sin
Wahoo
Wait A While
Wait N Sea
Wake Maker
Wake up!
Waker's Mark
Waki Jacki
Waking Beauty
Walkabout
WALLY'S WHALER
Walrus
WALRUS
WanaCruz
WANDER
Wanderin J
Wanderlust
Wanna Be
Want to search
War Eagle
War N's Peace
Warp 9
Warrior
WASSERSCHLOSS
WASSERSPIEL
Wastntyme
Water Rat
WATERBED
water culture
Waterfall
WATERHOG
WATERHOLIC
WaterLoo
Waterstruck
Wave Crusher
Wave Dancer
Wave Jumper
WA' VE LIFE
Wave Of Insanity
Wave Runner
Wave Slicer
Wave Walker
WaveMaker
Wavetamer
WA-WA-DAT
WAYNE'S WORLD
WAY TO GO
Wayward Lassie
We B Miss B Haven
WE"B"LEAVIN
Weak moment
Weakender
WEAPON OF CHOICE
Weather Oar Knot
Weatherlight
|
Weedidit
Weekend Away
WEEKEND MADNESS
Weekend Pair-a-Dice
Weekend Warrior
Weekend White House
Wee Zee II
Weigh 2 Go
Welcome A Broad
We'll sea
wellcraft
West Wind
Wet and Wild
Wet Bandits
Wet Debt
Wet debt
Wet Dream
wet enough???
Wet Knots
Wet Nap
WET NUTS
Wet Paint
Wet Pleasures
Wet Spot
Wet Willie
Wet woody
Wetever
What A Life
What About Bob?
What don't you understand
What Plug?
Whatever
WHAT'S HAPPENING ?
What's Next
What's up, Dock?
wheezer
Where's my slip?
WHERE'S THE BEACH???
whiplash
WHISPER KNOTIKO
White Knuckle Express
wHITE DIAMONDS
WHITE KNUCKLES
Whitezin
WHO CARES
Who Knew
Wholesail
Whopper Stopper
WHY ME?
Wicked
Wild Blue
WILD IDEA
Wild Island
Wild Turkey 101
Wildfire |
Wildside
Wild Thing
Will-N-Joy
WILLY TIPPIT
Wind Chime
wind dance
Wind Dancer
windigo
Wind Of Change
Wind Reaver
Wind Rose
Wind Shadow
wind song
Wind Spirit
Wind Weaver
Wind Wench
Windblown
Windborn
WINDBREAKER
Windcharm
Windcrest
WindFall
Windhover Were Outta Here
Windjammer
Windmagic
Windrift
Windsong
Windsplitter
Windwalker
Windy
Winedown
Winkin', Blinkin', & Nod
Winsome
WINTERSUX
Without A Crew
WOLFMAN
Won It
Woodeye!
WoodStock
Woody
WORK RELEASE
Working Man
WORL-POOLWorm Dangler
WORTH THE WAIT
Wrap it Up !
Wren
Wright Stuff
Wugga Booga
www.boat
WWW.Boat.Mine
www.calm
Wye Knot
WÝLD VENTURE
wysiwyg
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|


| read_json {jsonlite} | R Documentation |
These functions are similar to toJSON and fromJSON except they explicitly distinguish between path and literal input, and do not simplify by default.
read_json(path, simplifyVector = FALSE, ...) parse_json(json, simplifyVector = FALSE, ...) write_json(x, path, ...)
path |
file on disk |
simplifyVector |
simplifies nested lists into vectors and data frames. See fromJSON. |
... |
additional conversion arguments, see also toJSON or fromJSON |
json |
string with literal json or connection object to read from |
x |
an object to be serialized to JSON |
tmp <- tempfile() write_json(iris, tmp) # Nested lists read_json(tmp) # A data frame read_json(tmp, simplifyVector = TRUE)