Miorc
Midi orchestra
Author
Affiliations
- Faculty of computer science, "Alexandru Ioan Cuza" University of Iași — Iași, Iași, România
Concepts
What is MIDI
-
MIDI (short for Musical Instrument Digital Interface) is a technical standard that describes a communications protocol, digital interface, and electrical connectors that connect a wide variety of electronic musical instruments, computers, and related audio devices. A single MIDI link can carry up to sixteen channels of information, each of which can be routed to a separate device.
MIDI carries event messages that specify notation, pitch, velocity, vibrato, panning, and clock signals (which set tempo). For example, a MIDI keyboard or other controller might trigger a sound module to generate sound produced by a keyboard amplifier. MIDI data can be transferred via midi cable, or recorded to a sequencer to be edited or played back.
A file format that stores and exchanges the data is also defined. Advantages of MIDI include small file size, ease of modification and manipulation and a wide choice of electronic instruments and synthesizer or digitally-sampled sounds.
About the application
What is MIORC
-
MIORC is a web application that allows you to create an online orchestra
You can chose from a list of over 70 instruments and create your own composition.
After you've created your song you can start forming an orchestra , with your composition and many others written by other players .
How to use MIORC
-
The application has 2 main pages:
- The mixer page
Here you will compose your songs
-
Mixer Structure
A basic description of the page
Here you will see 3 main components
-
Navigation menu
-
Mixer controls
-
Note sheet
-
- The mixer page
- The Concert page
Here you will mix all the song you want
-
Concert Structure
A basic description of the Concert page
Concert page Here you will see 2 components
-
Main controls
Controls The 3 controls which will help you use the application
Components:- 1-Start button - will play/pause all the active songs
- 2-Stop button - will stop all playing songs
- 3-Add button
- will pop a select from which u can select a song from the database
Song list
-
Song card
Song card Here u can:
- Play the song
- Stop the song
- Change the instrument which
is used for the song
Instrument list
-


Installation¶
Required dependencies¶
- Required
Python (3.7 or later)
mypy_extensions (only for python-3.7)
- Build
gfortran_linux-64 from conda. Recommended when building in conda environment.
- Documentation
Instructions¶
From the source¶
The best way to proceed is to install all required dependencies with conda:
conda create -n test python=3.8 cython gcc_linux-64 numpy
conda activate test
conda install dask python-blosc wurlitzer xarray
conda install pytest dill netcdf4 zarr # to run tests
conda install -c yt87 libwgrib2
Then, from the base of the source directory:
python setup.py develop
The conda compiler will find libwgrib2 and its header files. Native gcc works
as well, but one has to set library_dir
and include_dir
in setup.cfg.
pywgrib2_xr comes with the test suite. To run the tests, execute:
pytest tests


FCS Reporting
HH Surveyed
* Invalid values
*The total cannot be more than 100%
%
Acceptable
%
Borderline
%
Poor
%
Acceptable PMD
%
Borderline PMD
%
Poor PMD


Content Experiments: User Behavior
This post catalogs my continuing exploration and experimentation with analytics, using AARosemond’s Science Journal. In addition to learnings from Google Analytics, I now have access to Google Optimize. As I learn more about these resources, I can leverage insights from content experiments, improving the user experience and optimizing the impact of this work. This post will focus on my steps in this direction.
Goals and Events
The pageviews have tapered some since I started asking friends and family to visit. I've learned a few things from the analytics:
- 100% of my early visitors started navigating the site using the link I sent them. I can tell clusters of early visitors from their start page.
- The average time on a page is about 31 seconds. It's a data point.
- Visitors spent the most time looking at:
- Post 1: First Impressions - Average time on page was 1 minute, 38 seconds. This
post that was easiest to get to in my initial design.
- Post 7: Adding Analytics - Average time on page was 1 minute, 36 seconds. This
post was the most current one at the time I invited viewers.
Google Optimize
After learning about Google Optimize software, and some conversations with users, I thought it would be worthwhile to experiment. So, I designed a variant of my index page, where there's a new dropdown that directs you to the latest posts (excluding this one). I'm hoping to see how differently average time on page will be, expecially as 50% of viewers are shunted via this new vector to post 8.


|
Stereo UGV
0.0.0
Detect and locate obstacles using a stereo camera for UGVs
|
A utility class for easily setting up an image publisher from context parameters and publishing images through this publisher. More...
#include <image_publisher.h>
Public Member Functions | |
| void | setPublisher (image_transport::Publisher &&publisher) |
| Enables publishing images by setting the internal image_transport::Publisher. More... | |
| void | unsetPublisher () |
| Disables publishing images by unsetting the internal image_transport::Publisher. | |
| template<typename... Arguments> | |
| void | publish (Arguments &&... arguments) const |
| Publishes an image through the internal image publisher if it is enabled. Otherwise, does nothing. More... | |
A utility class for easily setting up an image publisher from context parameters and publishing images through this publisher.
| T | The base class that provides the convertion method from data of custom types and numbers to image messages. |
The template argument T should be default-constructible should defines operator():
where argument1, argument2, ... are arguments used to create image.
|
inline |
Publishes an image through the internal image publisher if it is enabled. Otherwise, does nothing.
| arguments | Arguments that are used to create the image message to be published. These arguments, together with a pointer to the internal image buffer, are passed to the T::operator() function to create the image message, where T is the template argument to this class. |
|
inline |
Enables publishing images by setting the internal image_transport::Publisher.
| publisher | The internal image publisher. |


Eric Happy
saving Account
Acc Deactive
Edward Floris
Current Account
Acc Active
Hunk Manase
saving Account
Acc Dormant
Edward Floris
Current Account
Acc Active
Hunk Manase
saving
Acc Dormant
Eric Happy
Current Account
Acc Deactive
Hunk Manase
Current Account
Acc Deactive
Eric Happy
saving Account
Acc Dormant
Edward Floris
Current Account
Acc Active


SQLNotes
- SQLNotes
- Intro
- Syntax
- SQL Select
- SQL select distinct statement
- SQL WHERE Clause(查询子句)
- SQL AND,OR and NOT Operators
- SQL ORDER BY Keyword(按关键字排序)
- SQL INSERT INTO Statement
- SQL NULL Values
- SQL UPDATE Statement
- SQL DELETE Statement
- SQL TOP, LIMIT or ROWNUM Clause
- SQL MIN() and MAX() Functions(函数)
- SQL COUNT(), AVG(),SUM() Functions
- SQL LIKE Operator
- SQL Wildcards
- The SQL IN Operator
- SQL BETWEEN Operator
- SQL Aliases(别名)
- SQL Joins
- SQL Self JOIN
- SQL UNION Operator
- SQL GROUP BY Statement
- SQL HAVING Clause
- What's the difference between ON, WHERE, HAVING clause
- SQL EXISTS Operator
- SQL ANY and ALL Operator
- SQL SELECT INTO Statement
- SQL INSERT INTO SELECT Statement
- SQL CASE Statement
- SQL NULL Functions
- References
Intro
- SQL(Structured Query Language)指结构化查询语言
- SQL使我们有能力访问数据库
- SQL使一种ANSI( America National Standard Institute美国国家标准化组织)的标准计算机语言
What can SQL Do?
- 创建新的数据库及其对象(表，索引，视图，存储过程，函数和触发器)
- 从数据库中，执行查询，取回数据，插入数据，更新数据，删除数据
- 可以Commit数据字典
- RENAME一个对象
- 在数据库中设置用户Grant和Revoke权限
RDBMS
Relational Database Management System.关系型数据库。RDBMS的数据都存于数据库对象——Table(表)中。表是相关数据项的集合，由列和行组成。每个表由更小的实体Field(字段)组成，字段是表中的一列，以maintain(维护)表中每条记录的特定信息。
record(记录)（也称为行），是存在于表中的每个单独entry(条目)，一条record是表中的一个horizontal entity(横向实体)。
column(列)是表中的vertical entity(垂直实体)，contains associated with 表中一个特定字段所有信息。
Syntax
Database Tables
Each table is identified by a name. Tables contains(包含) records(rows) with data.
SQL Statements(语句)
Most of the actions（操作） you need to perform on a database are done with SQL statements.
Keep in mind that
- SQL keywords are not case sensitive(大小写不敏感)
- Semicolon(分号) after SQL Statements
- SQL statements always begin with keywords
For the second point,虽然不是每种DBS都要求，但他是种标准分割SQL语句的方法，让我们在 same call （同一请求）中执行多条语句
Some of the most important SQL Commands（命令）
- SELECT - extracts(提取) data from a database
- UPDATE - updates data in a database
- DELETE - deletes data from a database
- INSERT INTO - inserts new data into a database
- CREATE DATABASE - creates a new database
- ALTER DATABASE - modifies a database
- CREATE TABLE - creates a new table
- ALTER TABLE - modifies a table
- DROP TABLE - deletes a table
- CREATE INDEX - creates an index (search key)
- DROP INDEX - deletes an index
SQL Select
The SQL Select Statement
The select statement is used to selcet data from a database.
The Data returned is stored（存储）in a result table,called the result-set
Seclect Syntax
select column1,column2,... from table_name;
if you want to select all the fields available（可获得的）in the table,use the following syntax:
select * from table_name;
Navigation（导航） in result-set
most DBS allow use 编程函数 to navigate in result-set 中,for example: Move-To-First-Record,Move-To-Next-Record,Get-Record-Content等等
SQL select distinct statement
The SQL SELECT DISTINCT Statement
The select distinct statement is used to return only distinct(独特的，different) values
Insides a table,a column often contains many duplicate (重复的) values; and sometimes you only want to list the distinct values.
SELECT DISTINCT Syntax
SELECT DISTINCT column1,column2,... FROM table_name;
The following SQL statement lists the number of different customer countries
SELECT COUNT(DISTINCT country) FROM Customers;
Note:The example above will not work in Firefox and Microsoft Edge Because they are using Microsoft Access Database.And this usage(用法) are not supported for it.We can use following statement to replace
SELECT COUNT(*) AS DistinctCountries FROM (SELECT DISTINCT Country FROM Customers);
SQL WHERE Clause(查询子句)
The Where clause is used to filter records,extract only those records that fulfill(满足) a specific condition.
WHERE Syntax
SELECT column1,column2,... FROM table_name WHERE condition;
WHERE Clause Example
SELECT * FROM Customers WHERE Country = 'Mexico';
Text Fields vs Numeric(数字，数值的) Fields
SQL requires single quotes(单引号) around text values(most database system will also allow the dobule quotes 双引号). However,numric fields should not be enclosed(被包围) in quotes:
SELECT * FROM Customer WHERE CustomerID = 1;
Operators(运算符) in The WHERE Clause
The following operators can be used in the WHERE clause:
| Operator | Description |
|---|---|
| = | Equal |
| <> | Not equal. Note: In some versions of SQL this operator may be written as != |
| > | Greater than |
| < | Less than |
| >= | Greater than or equal |
| <= | Less than or equal |
| BETWEEN | Between a certain range(确定的范围) |
| LIKE | Search for a pattern（模式） |
| IN | To specify(指定) multiple possible values for a column |
SQL AND,OR and NOT Operators
The WHERE Clause can be conbined(结合) AND,OR,and NOT operators.
The AND and OR operators are used to fileter records based on more than one condutions.
The AND(OR) opetators displays a record if all(any) the conditons separated(分开) by AND are(is) TRUE.
The Not operators display a record if the condition(s) is NOT TRUE.
Syntax
SELECT column1,column2,... FROM table_name WHERE condition1 AND condition2 AND condition3...;
SELECT column1,column2,... FROM table_name WHERE condition1 OR condition2 OR condition3...;
SELECT column1,column2...FROM table_name WHERE NOT condition;
Combining(使结合) AND,OR and NOT
You can conbine the AND,OR and NOT operators.Use parenthesis[pə'rɛnθəsɪs 圆括号] to form(组成) complex expressions.
SELECT ＊ FROM Customers WHERE Country='Germany' AND (City='Berlin' OR City='Muchen');
SELECT ＊ FROM Customers WHERE NOT Country='Germany' AND NOT Country='USA';
SQL ORDER BY Keyword(按关键字排序)
The SQL ORDER BY keyword is used to sort(排序) the result-set in ascending or descending order(整理,顺序 ).
It sort the records in ascending order by default.To sort the records in descending order，use the DESC keyword.
ORDER BY Syntax
SELECT colomn1,column2... FROM table_name ORDER BY column1,column2,... ASC | DESC;
ORDER BY Several Columns Example
The following statement will sort the result-set order by Country,but if some rows have the same country,it orders them by CustomerName
SELECT * FROM Customers ORDER BY Country,CustomersName (ASC);
ORDER BY Several Columns Example2
sorted them in ascending order by the "Country" and descending by the "CustomerName" column
SELECT * FROM Customers ORDER BY Country ASC,CustomerName DESC;
SQL INSERT INTO Statement
The INSERT INTO statement is used to insert new records in a table.
INSERT INTO Syntax
INSERT INTO table_name(column1,column2,...) VALUES(values,values2,...);
If you are adding values for all the columns of the table,you do not need to specify the column names in the SQL statement.However,make sure the order of the values is in the same as the columns in the table.
INSERT INTO table_name VALUES (value1,value2,...);
The auto-increment(增量) field will be generated(生成) automatically when a new record is inserted into the table.
Of course,you can also possible to only insert data in specific columns.
SQL NULL Values
A field with NULL value is a field with no value.
If a field in table is optional(可选择的)，it is possible to insert or update a record wirhout adding a value to this field.Then,the field will be saved with a NULL value.
Note:A NULL value is different fron a zero value or a field that contains(包含) spaces.A field with a NULL value means it has been left blank(空白的) during record creation.
Syntax
Use IS NULL to test empty values.Use IS NOT NOT NULL test non-empty values
SELECT column1 FROM table_name WHERE column2 IS NULL;
SELECT column1 FROM table_name WHERE column2 IS NOT NULL;
When you create a table contains a field allowed to left blank,you can write as bellow
CREATE TABLE CUSTOMERS(
ID INT NOT NULL,
NAME VARCHAR (20) NOT NULL,
AGE INT NOT NULL,
ADDRESS CHAR (25) ,
SALARY DECIMAL (18, 2),
PRIMARY KEY (ID)
);
SQL UPDATE Statement
UPDATE Statement is used to modify the existing(现存) records in a table.
UPDATE Syntax
UPDATE table_name SET column1 = value1,column2 = value2... WHERE condition;
--update all the records
UPDATE table_name SET column1 = value1...;
NOTE: Be careful when updating records in a table!The WHERE Clause is used to specify which record(s) should be updateed.If you omit(省略) it ,all records in the table will be updated!
SQL DELETE Statement
The DELETE statement is used to delete existing records in a table.
DELETE Syntax
DELETE FROM table_name WHERE condition;
-- delete all the records
DELETE FROM table_name;
NOTE:The same as UPDATE statement.Be careful the WHERE clause,if you omit WHERE clause,all records in the table will be deleted.
Why don't we drop the table directly? Because delete all the records can leave table structs,property and indexs.
SQL TOP, LIMIT or ROWNUM Clause
The SELECT TOP clause is used to specify the number of records to rerurn.
The SELECT TOP clause is useful on large tables with thousands of records.Returning a large number of records can impact(影响) on performance(性能).
Note:Not all database systems support the SELECT TOP clause.MySQL supports the LIMIT clause to selcet a limited number of records,whlie Oracle use ROWNUM.But MySQL and Oracle do not support percents as value,you can write a extra SQL statement to realize it such as
SELECT COUNT(*)*percent FROM table_name WHERE condition;
SQL TOP Syntax
-- SQL Server / MS Access Syntax
SELECT TOP number | number PERCENT column1,column2... WHERE condition;
-- MySQL Syntax
SELECT column1,column2... FROM table_name WHERE condition LIMIT number;
-- select the third record to sixth record.
SELECT * FROM table_name LIMIT 2,3;
-- Oracle Syntax
SELECT colomn1,column2... FROM table_name WHERE conditon AND ROWNUM <= number;
SQL MIN() and MAX() Functions(函数)
The MIN() function returns the smallest value of the selected column.
The MAX() function return the lagerest value of the selected column.
MAX() and MIN()Syntax
SELECT MAX(column_name) FROM table_name WHERE codition;
SELECT MIN(column_name) FROM table_name WHERE conditon;
SQL COUNT(), AVG(),SUM() Functions
The COUNT() function returns the number of rows that matches(匹配) a specified criteria(条件).
The AVG() function returns the average(平均的['ævərɪdʒ]) value of a numeric column.
The SUM() function returns the total sum of a numric column.

Example
-- count the number of different customers in the oreders' table
SELECT COUNT(DISTINCT CustomerID) AS NumberOfCustomer FROM Orders;
-- The following statement choose the product's price that higher than average price
SELECT ProductName,price FROM Products WHERE price > (SELECT AVG(PRICE) FROM Products);
-- Add all quantity
SELECT SUM(Quantity) from Products;
SQL LIKE Operator
The LIKE operator is used in a WHERE clause to serach a specified pattern(模式) in a column.
There are two wildcards(通配符) often used in conjunction(结合，连词) with the LIKE operator;
- % pecent sign represent zero, one, or multiple characters.
- _ The underscore(连字符，下划线) represents a single character.
Notes: MS Access use asterisk(*) (星号 ['æstərɪsk]) instead of the percent sign(%), use question mark(?) instead of underscore(_).
The percent sign and the underscore can also be used in conbinations(组合)!
LIKE Syntax
SELECT column1,column2,... FROM table_name WHERE columnN LIKE pattern;
Here are some examples showing different LIKE operators with ' % ' and ' _ ' wildcards:
| LIKE Operator | Description |
|---|---|
| WHERE CustomerName LIKE 'a%' | Finds any values that start with "a" |
| WHERE CustomerName LIKE '%a' | Finds any values that end with "a" |
| WHERE CustomerName LIKE '%or%' | Finds any values that have "or" in any position |
| WHERE CustomerName LIKE '_r%' | Finds any values that have "r" in the second position |
| WHERE CustomerName LIKE 'a_%_%' | Finds any values that start with "a" and are at least 3 characters in length |
| WHERE ContactName LIKE 'a%o' | Finds any values that start with "a" and ends with "o" |
SQL Wildcards
A wildcard character is used to substitude(代替) one or more charcters in a string.
Wildcatds charcters are used with SQL LIKE operator.The LIKE operator is used in a WHERE clause to search a specified pattern in a column.
Here are some wildcard characters in all DB:
| Symbol | Description | Exampl |
|---|---|---|
| [charlist] | Represents any single character within(在...之内) the brackets | h[oa]t finds hot and hat, but not hit |
| - | Hyphen(连字符) Represents a range of characters | c[a-b]t finds cat and cbt |
| # | Number sign Represents any single numeric character | 2#5 finds 205, 215, 225, 235, 245, 255, 265, 275, 285, and 295 |
Wildcard characters in SQL Server and MySQL
| Symbol | Description | Example |
|---|---|---|
| % | Represents zero or more characters | bl% finds bl, black, blue, and blob |
| _ | Represents a single character | h_t finds hot, hat, and hit |
| ^ | Caret(脱字符) represent any character not in the brakets | h[^oa]t finds hit, but not hot and hat |
Wildcard characters in MS Acess
| Symbol | Description | Example |
|---|---|---|
| * | Represents zero or more characters | bl* finds bl, black, blue, and blob |
| ? | Represents a single character | h?t finds hot, hat, and hit |
| ! | Exclamation represent any charater not in the brackets | h[!oa]t finds hit, but not hot and hat |
The SQL IN Operator
The IN operator allow you to specify multiple values in a WHERE clasuse.
The IN operator is a shorthand(简写，速记) for multiple OR condition.
Syntax
SELECT column_name(s) FROM table_name WHERE column_name IN (value1,value2...);
SELECT column_name(s) FROM IN (SELECT STATEMENT);
NOTE: text value should be enclosed in single quote ;
Example
SELECT * FROM Customers WHERE country (NOT) IN ('USA','France');
-- The following statement will select all the customer that are from the countries as the suppliers(供应商):
SELECT * FROM Customers WHERE country IN (SELECT Country FROM Suppliers);
SQL BETWEEN Operator
The BETWEEN operator selects values within a given range.The values can be text, number or dates.
The BETWEEN operator is inclusive(包含性的): begin and end values are included.
Syntax
SELECT column_name(s) FROM table_name WHERE column_name between value1 AND value2;
Example
-- To display the product outside the range of the previous example,use NOT BETWEEN:
SELECT * FROM Products WHERE Price NOT BETWEEN 10 AND 20;
-- Select all product with price BETWEEN 10 and 20,In addition(另外); do not show priducts with a CategoryID of 1, 2, or 3:
SELECT * FROM Product WHERE (Price BETWEEN 10 AND 20) AND (CategoryID NOT IN (1,2,3));
-- NOT operator also can be written before the CategoryID,it make the same effect.
-- The following statement select all orders with OrderDate between '01-July-1996' and '31-July-1996':
SELECT * FROM Orders WHERE OrederDate BETWEEN #01/07/1996# AND #31/07/1996#;
--Or the bellow(above syntax are not supported in MySQL)
SELECT * FROM Orders WHERE '1996-07-01' AND '1996-07-31';
Tips:In diffrerent DBSM, the BETWEEN oprator will be produce(产生) different results.
Such as BETWEEN 1 AND 10; It may be regarded as (1,10) or [1,10] or [1,10).
So please check your how your DB deal with BETWEEN operator.
SQL Aliases(别名)
SQL aliases are used to give a table, or a column in a table, a temporary name.
Aliases are often be used to make column name more readable.
An alias only exits for the duration of the query.
Syntax
SELECT column_name AS alias_name FROM table_name;
SELECT column_name(s) FROM table_name AS alias_name;
Note: If an alias name contains space, it requires double quotation mark(双引号) or square brackets(方括号).
MySQL does not supports square brakets for Aliases.
Example
SELECT CustomerName AS Customer,CntactName AS [Contact Person] FROM Customers;
-- Your can create a alies named "address" that combine four colomns(Address,PostalCode,City and Country)
SELECT CustomerName, Address + ',' + PostalCode + ' ' + City + Country AS Address FROM Customers;
-- In MySQL you should write as following:
SELECT CustomerName,CONCAT(Address,','PostalCode,', 'City,', ',Country) AS Address FROM Customers;
SELECT o.OrderID, o.OrderDate, c.CustomerName
FROM Customers AS c, Orders AS o
WHERE c.CustomerName="Around the Horn" AND c.CustomerID=o.CustomerID;
Alies can be useful when:
- There are more than one table involved(涉及) in a query
- Functions are used in the query
- Column names are big or not very readable
- Two or more columns are combined together
SQL Joins
A JOIN clause is used to combine rows from two or more tables, based on a related column between them.
Different type of SQL JOINS
- (INNER) JOIN:Returns record that have matching values in both.
- LEFT (OUTER) JOIN: Return all records from the left table, and the matched records from the right table.
- RIGHT(OUTER) JOIN:Return all records from the right table,and the matched records from the left table.
- FULL(OUTER) JOIN:Return all records when there is a match in either left or right table.
- CARTESIAN JOIN(笛卡尔连接)：Return result-sets' cartesian product(笛卡尔积) from two or more tables.
Cartesian join as the same as the INNER JOIN without WHERE clause.

Note:Some database do not support full join, you can use UNION ALL to combine the left join and right join.

Syntax
SELECT column_name(s) FROM table1 T1,table T2 WHERE condition;
Example
-- The following SQL statement matches customers that from the same city:
SELECT a.CustomerName AS customer1,b.customerName AS customer2,a.city FROM Customers a,Customers b WHERE a.CustomerID <> b.CustomerID AND a.city = b.city ORDER BY a.city;
SQL UNION Operator
The UNION operator is used to combine the result-set two or more SELECT statement.
- Each SELECT statement within UNION operator must have the same number of columns
- The columns must also have similar data types.
- The columns in each SELECT statement must also be in the same order.
The Union result-set's column name always as the name as the column name in the first select statement.
Syntax
SELECT column_name(s) FROM table1 UNION SELECT column_name(s) FROM table2;
The UNION operator selects only distinct values by default.To allow duplicate values, use UNION ALL:
SELECT column_name(s) FROM table1 UNION ALL SELECT column_name(s) FROM table2;
Example
--returns the German cities(duplicate values also) from both the "Customers" and "Suppliers" table:
SELECT City,Country FROM Customers WHERE Country = 'German'
UNION ALL
SELECT City,Country FROM Suppliers WHERE Country = 'German'
ORDER BY City;
-- list all customrts and suppliers
SELECT 'Customer' AS Type, CustomerName FROM Customers
UNION ALL
SELECT 'Suppliers',SupplierName FROM Suppliers;
SQL GROUP BY Statement
The GROUP BY statement is often used with aggregate(聚合) functions(COUNT, MAX, MIN, AVG, SUM) to group the result-set by one or more columns.
Syntax
SELECT column_name(s) FROM table_name WHERE condition GROUP BY column_name(s) ORDER BY column_name(s);
Example
-- list the number of customers from the each country,sorted high to low
SELECT COUNT(CustomerID), Country FROM Customers GROUP BY Country ORDER BY COUNT(CustomerID) DESC;
-- list the number of orders sent by each shipper:
SELECT COUNT(o.OrderID),s.ShipperName FROM Orders AS o LEFT JOIN Shippers AS s ON o.ShipperID = s.ShipperID;
Note:Remember what condition you want to sort the record, do not fogot to add the aggregate functions.
SQL HAVING Clause
The HAVING clause was added to SQL because the WHERE keyword could not be used with aggregate functions.
Syntax
SELECT column_name(s) FROM table_name WHERE conditon GROUP BY column_name(s) HAVING condition ORDER BY column_name(s);
Example
-- list the number of customers in each country.Only include countries with more than 5 customers:
SELECT COUNT(CustomerID),Country FROM Customers GROUP BY Country HAVING COUNT(CustomerID) >5;
-- list if the employees "Mike" or "Sara" have registered more than 25 orders:
SELECT e.LastName,COUNT(o.OrderID) FROM Employees AS e INNER JOIN Orders AS o ON e.EmployeeID = o.EmployeeID
WHERE e.LastName IN ('Mike','Sara')
GROUP BY e.LastName
HAVING COUNT(o.OrderID) > 25;
What's the difference between ON, WHERE, HAVING clause
Judge(判断) from the excute orders, their excute order is ON -> WHERE -> HAVING.
In the case of(在...的情况下) LEFT JOIN ,ON condition is used in creating temporary table, it doesn't mattter if the condition is true, it will show all the records from the left table. However, the WHERE contion is used after the temporary table is created , then filter the record that condition is false in the temporary table. So if you use WHERE operator, it is truly as the same as use INNER JOIN.
In multi-table join query, DBMS will create a temporary table base on ON condition, then filter by WHERE clause, and then do some aggregate function or others, after calculate(计算), filter by HAVING clause.
quote from:深邃的夜空
SQL EXISTS Operator
The EXISTS operator is used to test the existence of any record in a subquery(子查询).
The EXISTS operator returns true if the subquery returns one or more records.
Syntax
SELECT column_name(s) FROM table_name WHERE EXISTS (SELECT column_name)
Note: Why the second "table_name" does not exists "(s)", although the tutorial does not refer it, through my test in mysql, the subquery will return all the columns that match the condition. So you don't need to specify the columns that you want to use in the parent query.

The ANY operator returns true if any of the subquery values meet the condition.
The ALL operator returns true if all of the subquery values meet the condition.

Example
-- The follwing statement will lists the productnames if it finds any records in the OrderDetails table that quantity(数量) = 10;
SELECT ProductName FROM Products WHERE ProductID = ANY (SELECT ProductID FROM OrderDetails WHERE Quantity = 10);
SQL SELECT INTO Statement
The SELECT INTO statement copies data from one table into a new table.
Syntax
SELECT * INTO newtable [IN externaldb] FROM oldtable WHERE condition;
external:外部的
SELECT column1,column2...INTO newtable [IN externaldb] FROM oldtable WHERE condition;
Example
SELECT * INTO CustomersBackup2019 IN 'Backup.mdb' FROM Customers;
SELECT c.CustomerName,o.OrderID INTO CustomersBackup2019 IN 'Backup.mdb' FROM Customer AS c LEFT JOIN Orders AS o ON c.CustomerID = o.CustomerID;
Tips: You can also create a new empty table using the schema(模式) of another, Just add a WHERE clause that cause the query to return no data
SELECT * INTO Customer2019 FROM Customer2018 WHERE 1 = 0;
However, MySQL do not support SELECT INTO statementm, you can use the following statement
-- Copy data
CREATE TABLE CustomersBackup(SELECT * FROM Customers);
-- Only copy table schema
CREATE TABLE CustomerBackup LIKE Customers.
SQL INSERT INTO SELECT Statement
The INSERT INTO SELECT statement copies data from one table and insert it into anther table.
- INSERT INTO SELECT requires that data types in source and target tables match
- The existing records in the target table are unaffected.
Syntax
INSERT INTO table2 SELECT * FROM table1 WHERE condition;
INSERT INTO table2 (column1,column2...) FROM table1 WHERE condition;
SQL CASE Statement
The CASE statement goes through conditions and return a value when the first comdition is met(like an IF-THEN-ELSE statement). So, once a condition is true, it will stop reading and return the result. If no conditions are true, it returns the value in the ELSE clause.
If there is no ELSE part and no codition are true, it returns NULL;
Syntax
CASE
WHEN condition1 THEN result1
WHEN condition2 THEN result2
WHEN conditionN THEN resultN
ELSE result
END;
Example
SELECT OrderID,Quantity,
CASE
WHEN Quantity > 30 THEN "The quantity is more than 30"
ELSE "The quantity is less or equal 30"
END AS Quantity
FROM Orders;
-- Another example
SELECT CustomerName,City,Country
FROM Customers
ORDER BY
(CASE
WHEN City IS NULL THEN Country
ELSE City
END);
SQL NULL Functions
Look at the statement below first
SCELECT ProductName, UnitPrice*(2 + UnitsOnOrder) FROM Products;
If any of the "UnitsOnOrder" value are NULL, the result will be NULL.
Solutions
The MySQL IFNULL() or COALESCE() (合并)function let you return an alternative value if an expression is NULL:
SELECT ProductName, UnitPrice * (1 + IFNULL(UnitsOrder,0)) FROM Orders;
SELECT ProductName, UnitPrice * (1 + COALESCE(UnitsOrder,0)) FROM Orders;
In SQL Server use ISNULL() while MS Access use NVL() to solve this question
SELECT ProductName, UnitPrice * (1 + ISNULL(UnitsOrder,0)) FROM Orders;
SELECT ProductName, UnitPrice * (1 + NVL(UnitsOrder,0)) FROM Orders;


Lvl 5:
Lvl 4:
Lvl 3:
Lvl 2:
Lvl 1:
Foil:
This is an interactive steam trading card website
inspired by an excel spread sheet by Reaper madness
Reaper Madness's aformentioned excel sheet
Bootstrap - getbootstrap.com -
for their CSS and javascript page widgets
Bootswatch - bootswatch.com -
for their colorized bootstap CSS
spin.js - fgnass.github.io - for his js spinner animation
datatables - datatables.net - for the robust js table plugin
Natural Sort - Github - by Jim Palmer for a more intuitive sort
money.js - josscrowcroft.github.io - for the currency converter script
jquery - jquery.com - let's face it who doesn't use jquery
Django - Django Proejct - for the api and database backend
Steam and the Valve Coorporation for obvious reasons:
Steamcommunity Web API
Steamcommunity.com
Steampowered.com


If you watched the movie, you will remember when the Narrator was first getting in the fight with Tyler Durden, he was hesitant. He was used to his normal boring average life.
Once he got in a real fight, and realized that, he still lived at the end. He wasn’t dead. His family didn’t hate him. He actually felt better. Fighting wasn’t so bad anymore, and he noticed that it actually made him feel better.
Then when he went around to fight other people, he noticed that people won’t even fight if you provoke them! This is a metaphor for the fact that most people won’t get out of their comfort zone even if you try hard to help them.
That is why the first rule of Fight Club is don’t tell anybody. Don’t tell anybody about your new strategy to get out of your comfort zone, because people will just think you are some crazy dude that isn’t logical or thinking in this real boring matrix.
Looking at the movie from this point-of-view, shows you how obvious it should be to always get out of your comfort zone. Make it your addiction.
If you get in a vicious fight every day of your life, then what normal day occurrence could ever scare you?
 He just got in a fight earlier this morning and almost badly hurt someone. When you are in the beast mode mentality of conquering your dreams every second, you start to realize how small these normal day to day obstacles are.


{% extends 'template_parts/base.html' %} {% block content %}
{{ _('A little bit more technical:') }}
{{ _('A %(start)s might help.', start = ''|safe + _('fresh start') + ''|safe) }} {{ _('Would a few raspberries make up for your sorrows?') }}


---
layout: post
title: The Best of All Fairy Tales
date: '2011-04-07T17:51:00.002-05:00'
author: Jabell
tags:
- Story
- Gospel
modified_time: '2011-04-07T17:51:00.147-05:00'
blogger_id: tag:blogger.com,1999:blog-19739956.post-7340609911785351820
blogger_orig_url: http://theabellsix.blogspot.com/2011/04/best-of-all-fairy-tales.html
---
This quote is from a blog post advertising a Christian artist conference, and furthermore, from The Jesus Storybook Bible, but it is a great quote nonetheless:
“The Bible is most of all a Story. It’s an adventure story about a young Hero who comes from a far country to win back his lost treasure. It’s a love story about a brave Prince who leaves his palace, his throne - everything - to rescue the one he loves. It’s like the most wonderful of fairy tales that has come true in real life!”I love good fairy tales.


Specifically for this POC
- Upload a set of documents to a web server (NodeJS).
- Create hash representations of each documents content (sha256).
- Combine document hashes and timestamps for each document in the set and hash the combined data.
- Save the data to our own database (not the actual files, just the identifying data).
- Record the combined hash on the blockchain (Ethereum Smart Contract). This updates blockchain data so is slow and costs Ether. (The update needs to be accepted by the other nodes).
- Later on when we want to verify a document, we upload the current version.
- We retrieve the relevant set of document information from our own database and recalculate the combined hash.
- We verify the combined hash against the blockchain (Ethereum Smart Contract). This reads data from the local blockchain so is fast and doesn't cost any Ether.
- If the integrity of the data set remains intact, we verify the current file hash against the one previously stored in our own database.


--- layout: post title: 'Is Tom Peters talking about zanshin?' date: 2004-10-26 00:00:00 category: links ---


| Interface | Description |
|---|---|
| Event<T> |
An event is a wrapper object that gets stored in the window.
|
| EvictionContext |
Context information that can be used by the eviction policy
|
| EvictionPolicy<T,S> |
Eviction policy tracks events and decides whether an event should be evicted from
the window or not.
|
| TimestampExtractor |
Interface to be implemented for extracting timestamp from a tuple.
|
| TriggerHandler |
The callback fired by
TriggerPolicy when the trigger condition is satisfied. |
| TriggerPolicy<T,S> |
Triggers the window calculations based on the policy.
|
| TupleWindow | |
| Window<T> |
A view of events in a sliding window.
|
| WindowLifecycleListener<T> |
A callback for expiry, activation of events tracked by the
WindowManager |
| Class | Description |
|---|---|
| CountEvictionPolicy<T> |
An eviction policy that tracks event counts and can evict based on a threshold count.
|
| CountTriggerPolicy<T> |
A trigger that tracks event counts and calls back
TriggerHandler.onTrigger()
when the count threshold is hit. |
| DefaultEvictionContext | |
| EventImpl<T> | |
| StatefulWindowManager<T> |
Window manager that handles windows with state persistence.
|
| TimeEvictionPolicy<T> |
Eviction policy that evicts events based on time duration.
|
| TimeTriggerPolicy<T> |
Invokes
TriggerHandler.onTrigger() after the duration. |
| TupleWindowImpl |
Holds the expired, new and current tuples in a window.
|
| TupleWindowIterImpl |
An iterator based implementation over the events in a window.
|
| WatermarkCountEvictionPolicy<T> |
An eviction policy that tracks count based on watermark ts and evicts events up to the
watermark based on a threshold count.
|
| WatermarkCountTriggerPolicy<T> |
A trigger policy that tracks event counts and sets the context for eviction policy to
evict based on latest watermark time.
|
| WaterMarkEvent<T> |
Watermark event used for tracking progress of time when processing event based ts.
|
| WaterMarkEventGenerator<T> |
Tracks tuples across input streams and periodically emits watermark events.
|
| WatermarkTimeEvictionPolicy<T> |
An eviction policy that evicts events based on time duration taking watermark time and event
lag into account.
|
| WatermarkTimeTriggerPolicy<T> |
Handles watermark events and triggers
TriggerHandler.onTrigger()
for each window interval that has events to be processed up to
the watermark ts. |
| WindowManager<T> |
Tracks a window of events and fires
WindowLifecycleListener callbacks on expiry of events or activation of the window due to
TriggerPolicy . |
| Enum | Description |
|---|---|
| EvictionPolicy.Action |
The action to be taken when
EvictionPolicy.evict(Event) is invoked. |


one
two
PostIt
perm_identity
Welcome Blessing
arrow_drop_down
View all Groups
Add Group
Add Users
All Messages
All Groups
My Family
6 users in the Group
Add New User
BootCamp Cycle 23
24 users in the Group
Add New User
Close Friends
4 users in the Group
Add New User


{% extends "base.html" %} {% block head %} {% endblock %} {% block content %}
This tool analyses your plain text and tells you the most common words.
This is considered the Hello World of Natural Language Processing.
{{ originalText }}
Total characters: {{ numChars }} (include spaces)
Total sentences: {{ numSentences }}
Total tokens: {{ numTokens }}
Unique tokens: {{ uniqueTokens }}
Lexical diversity: each token in average is repeated {{ numTokens / uniqueTokens }} times
Top 10 words: {{ commonWords }}
{% endblock %}


SORTBIB 1
NAME
sortbib − Sort refer bibliographic database following iso-690 standart
SYNOPSIS
sortbib [−i|−sKEYS] database ...
DESCRIPTION
Sortbib sorts files of records containing refer key-letters by user-specified keys. Records may be separated by blank lines, or by .[ and .] delimiters, but the two styles may not be mixed together. This program reads through each database and pulls out key fields, which are sorted separately. The sorted key fields contain the file pointer, byte offset, and length of corresponding records. These records are delivered using disk seeks and reads, so sortbib may not be used in a pipeline to read standard input.
By default, sortbib alphabetize the first %A and %D fields, which contain the senior author and date.
The -i option is used to sort database following an algorythm which aims to respect the iso-690 bibliography standart:
- If J is defined, the order of fields is: QA+TE+SVBJ.
- Else, if B is defined, the order of fields is: QA+TE+SVB.
- Else, the order of fields is: QA+E+SVT.
The −s option is used to specify new KEYS. For instance, −sATD will sort by author, title, and date, while −sA+D will sort by all authors, and date. Sort keys past the fourth are not meaningful. No more than 16 databases may be sorted together at one time. Records longer than 4096 characters will be truncated.
Sortbib sorts on last word on the %A and %E line, which are assumed to be the author’s and editor’s last name. A word in the final position, such as "jr." or "ed.", will be ignored if the name beforehand ends with a comma. Authors with two-word last names or unusual constructions can be sorted correctly by using the nroff convention "\0" in place of a blank. A %Q field is considered to be the same as %A, except sorting begins with the first, not the last, word. Sortbib sorts on the last word of the %D line, usually the year. If a sort- significant field is absent from a record, sortbib places that record before other records containing that field.
LICENSE
Sortbib is distributed under the This manual page is distributed under a bsd4 license.
FILES
@BINDIR@/sortbib
SEE ALSO
AUTHORS
Written by Greg Shenaut & Bill Tuthill. Modified by Pierre-Jean Fichet.


Review: A Thin Red Line Rated `R' A Review by: Ryan Davis
It was hard to watch a World War II film without comparing it to Spielburg's epic `Saving Private Ryan.' Since both films were released in 1998 and both dealt with the horror of war, comparison is unavoidable. While `A Thin Red Line' is a solid film that has some strong features, it doesn't touch the audience like SPR did.
The plot is very loosely strung together; it's like the camera just follows around a group of soldiers. Sgt. Edward Welsh (Sean Penn) is a tough as nails career soldier; war is his life. Capt. James 'Bugger' Staros (Elias Koteas) is a captain who refuses to risk the lives of his troops, unnecessarily. Lt. Col. Gordon Tall (Nick Nolte) is a officer, who has been passed over so many times for general that he sees the war as his last chance at earning his stars. The list could go on and on, but most of the characters are in and out of the picture so fast you won't even get attached to any of them. There are also tons of cameos from stars, like John Travolta to George Clooney.
That is the main problem with `A Thin Red Line', lack of character development. There are just too many characters.  There are other weaknesses as well, including running time and narration. `A Thin Red Line' is way too long, or maybe it's just the fact that it runs forever without any development. Then there are the endless voiceovers by at least four different characters. This becomes tiresome, really quickly.
Not just to focus just on flaws, `A Thin Red Line' is still an above average film. It's chock-full of great performances, with the leading standout being Nick Nolte's Oscar worthy performance. Also the cinematography is just beautiful and the battle scenes are outstanding.
While `A Thin Red Line' isn't the masterpiece that `Saving Private Ryan' was, it is still a worthwhile film. If you have a good amount of time and you don't mind spending it in the theater, check it out.
Grade: B-
-----------== Posted via Deja News, The Discussion Network ==---------- http://www.dejanews.com/ Search, Read, Discuss, or Start Your Own
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


Friend Finder
Tell us about yourself.
This information helps us match you with people who might be interested in you.
Complete this quickSurvey


--- layout: post title: Amazing Login & Signup UI in Flutter by render_code | CodeCanyon date: '2019-12-04T23:07:00.000+05:30' author: Sahil Rajput tags: modified_time: '2019-12-04T23:08:09.059+05:30' blogger_id: tag:blogger.com,1999:blog-5250005448924290719.post-8469103691753768124 blogger_orig_url: https://www.jaadujinn.ml/2019/12/amazing-login-signup-ui-in-flutter-by.html ---


@import rugby.model.{GroupTable, Match} @import views.support.RenderClasses @(theMatch: Match, group: Option[GroupTable]) @if(group.isDefined) {
| Pos | Team | P | W | D | L | PD | Pts |
|---|---|---|---|---|---|---|---|
| @team.rank | @team.name | @team.played | @team.won | @team.drawn | @team.lost | @team.pointsdiff | @team.points |


Camping is an outdoor activity involving overnight stays away from home in a shelter, such as a tent or a recreational vehicle. Typically participants leave developed areas to spend time outdoors in more natural ones in pursuit of activities providing them enjoyment. To be regarded as "camping" a minimum of one night is spent outdoors, distinguishing it from day-tripping, picnicking, and other similarly short-term recreational activities. Camping can be enjoyed through all four seasons.


You look new here? Get Started!.
Set initial income for allocation. You can also set defaults for whenever you need to reset for the next time you get paid.
savings
Add envelopes for each budget category.
Allocate money to envelopes. request_quote
Make purchases and reflect them for the
envelopes add_shopping_cart
Reset for each pay cycle, use defaults you set, or choose to reset everything back to zero.
restart_alt


This project has recently undergone a rewrite and is in a testing stage, so you may encounter bugs or issues. If you do, please create an issue on the
GitHub Issues page .
About
What is this?
This is a tool to generate Old School BIOS images that emulate classic PCs; it is intended to be used on the Nintendo Switch. Currently the only method to display a splash screen is to use Hekate and enable autoboot.
How do I use this?
1. Tweak the above image to your liking to generate your custom boot screen.
2. Download the PNG file
3. Convert for use with your bootloader
Hekate (Recommended)
Use this tool to convert the png to the bootlogo format.
Save the image as "bootlogo.bmp" and save it in your SD root. For usage with Kosmos, place the file in the bootloader/ folder instead.
Hekate (Manual)
Convert the image to a 32-bit ARGB bitmap
Rotate the image 90 degress counter-clockwise
Save the image as "bootlogo.bmp" and save it in your SD root. For usage with Kosmos, place the file in the bootloader/ folder instead.
More information about Hekate's policy on loading a bootlogo can be found here .
Who made this?
Jonathan Torrelio - Maintainer and collaborator for tool usage on the Switch.
Harry Peach - Maintainer, rewrote and redesigned the old tool for usage on the Switch.
@sebascontre - Idea and programming behind the original 3DS tool.
Can I contribute?
Yes! You can fork the repository on GitHub and then submit a pull request.


BUILD YOUR KNOLEDGE OF BLOCKCHAIN
How do you think Blockchain will change the world?
How do you think Blockchain powered CryptoCurrency can make our daily life much easier?
Email<EMAIL_ADDRESS>For the past couple of years, we have educated ourselves using trusted sites to help to teach everyone else. Our process is designed to empower your current knowledge and make our knowledge yours. Talk to us today about how we can support your growth and put you on a solid track to success.
@blockchainpioneer


Email address
PayPaŀ password
Go to My account My transactions
Forgotten your email address or password?
New to PayPaŀ? Sign up
Copyright © 1999-2016 PayPaŀ. All rights reserved.


This page show the professors in economics department
The economics and finance program at Centre integrates the theory of finance with a broad background in economics within a liberal arts educational philosophy
| Name | David Anderson | Maria Apostolova-Mihaylova | Bruce K. Johnson | Patten P. Mahler | John J. Perry | Marie Petkus | Ravi Radhakrishnan | Brian Rogers |
|---|---|---|---|---|---|---|---|---|
| Pics |


Components are comprised of two pieces, a react
component and the options passed that enhance that component.
Import
For any component creation, you simply need to import the createComponent
method from arco
:
import createComponent from 'arco';
Creating a component
If you want to build a simple presentational component, you do not need to provide any options:
const Foo = (props) => {
...
};
export default createComponent(Foo);
Nothing crazy here, pretty much the same as you normally would do for functional components, but the real benefits come when we add some options.
Options
There are a number of options that can be passed as a second parameter to createComponent
which enhance the capabilities of ordinary functional components in react
.
Lifecycle methods
All lifecycle methods other than constructor
are supported, and they have been modified to receive props and context as parameters so that they can be built as pure functions. Example:
// most lifecycle methods will receive the current props and context
const componentDidMount = (props, context) => {
console.log('Mounted with props: ', props);
console.log('Mounted with context: ', context);
};
// componentWillReceiveProps gets props, nextProps, context, and nextContext
const componentWillReceiveProps = (props, nextProps, context, nextContext) => {
console.log('Will update from current props: ', props, ' to new props: ', nextProps);
console.log('Will update from current context: ', context, ' to new context: ', nextContext);
};
// componentDidUpdate gets the same treatment as componentWillReceiveProps, but with previous instead of next
const componentDidUpdate = (props, previousProps, context, previousContext) => {
console.log('Update with current props: ', props, ' from previous props: ', previousProps);
console.log('Update with current context: ', context, ' from previous context: ', previousContext);
};
And to apply them:
export default createComponent(Foo, {
componentDidMount,
componentWillReceiveProps,
componentDidUpdate
});
Child context
You can also add child context to the component by providing the same kind of parameters as options:
import createComponent, {
PropTypes
} from 'arco';
const childContextTypes = {
foo: PropTypes.string
};
// props and context are injected just like lifecycle methods
const getChildContext = (props, context) => {
return {
foo: 'bar'
};
};
And apply them in the same way:
export default createComponent(Foo, {
childContextTypes,
getChildContext
});
Local methods
In addition to react-
specific methods and properties, you can provide local methods that will have the props and context injected in the same way as the lifecycle methods. These are especially useful when providing event methods to elements in the component:
const mapDispatchToProps = {
someAction
};
// props and context are injected into the method following the event
const onClickButton = (event, props) => {
props.someAction('data');
};
const Foo = ({onClickButton}) => {
return (
<button onClick={onClickButton}>
Click me!
</button>
)
};
export default createComponent(Foo, {
mapDispatchToProps,
onClickButton
});
While you can use this for any instance method, it is advised to only use this for event-driven methods. You can just as easily create pure functions that exist outside of the options
to perform additional computation.
Additional methods
On top of the methods that you can pass in as options, there are some methods that are included for you.
getDOMNode([selector]): HTMLElement
This method accepts an optional selector, which if provided will retrieve a child node of the component that matches the selector, else returns the node of the component itself.
const getInput = ({getDOMNode}) => {
return getDOMNode('input');
};
const resetInputIfEscape = (event, props) => {
if (event.which === 27) {
const input = getInput(props);
input.value = '';
}
};
const Foo = ({resetInputIfEscape}) => {
return (

Some input

<input
onKeyDown={resetInputIfEscape}
type="text"
/>

);
};
export default createComponent(Foo, {
resetInputIfEscape
})
Stateful components
While function components are the preferred usage of arco
, you can use stateful components as well.
import createComponent, {
Component
} from 'arco';
const componentDidMount = (props) => {
console.log('Mounted with props: ', props);
};
class Foo extends Component {
state = {
foo: ''
};
render() {
const {
foo
} = this.state;
if (foo) {
return (
foo
);
}
return (
bar
);
}
}
export default createComponent(Foo, {
componentDidMount
});
StatefulComponent is basically a mirror image of React.Component
, so consult the standard React documentation for usage. There are two things to note, however:
- Stateful components can receive pure lifecycle methods as options, however local and additional methods are not available as options
- The
render
method ofStatefulComponent
receives bothprops
andcontext
of the component as parameters (state
is not provided)


DROP USER
Section: SQL Commands (7)Updated: 2012-08-14
Index Return to Main Contents
NAME
DROP USER - remove a database roleSYNOPSIS
DROP USER [ IF EXISTS ] name [, ...]
DESCRIPTION
DROP USER is now an alias for DROP ROLE [drop_role(7)].
COMPATIBILITY
The DROP USER statement is a PostgreSQL extension. The SQL standard leaves the definition of users to the implementation.
SEE ALSO
DROP ROLE [drop_role(7)]
Index
This document was created by man2html, using the manual pages.
Time: 05:34:15 GMT, December 24, 2015


title = "Membership" url = "/become-a-member" layout = "_main-layout" is_hidden = 0 ==
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam nec malesuada ex. Praesent tortor lectus, porta.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce euismod, augue quis pellentesque tristique, dui nunc egestas lectus, id pretium lectus.
Regular newsletters including the latest about God’s Own County
Auto enrolment to win Yorkshire goodies
Our latest green iconic Y badge
Your membership will include a tree planted for you in Yorkshire
Your official membership and tree dedication certificate
Discounts and promotions at Yorkshire attractions and retailers
That picture perfect image of Yorkshire for you to share
Your unique login to access exclusive extras
Updates from your woodland and invitations to events


We're sorry: either there are no tasks available in the system, or somebody else has completed your task in the time it took for you click on it! Try refreshing the page to see if new tasks are available.


Question 1: What dog size do you prefer?
Question 2: Do you prefer family friendly dogs?
Question 3: Do you prefer neutered dogs?
Question 4: Do you prefer pure breed dogs?
Question 5: Do you prefer male or female dog?
Question 6: Do you prefer Home trained dogs?
Question 7: Do you prefer a young dog or an older dog ?


Here is a list of all documented class members with links to the class documentation for each member:


General course information and and policies can be found here
Presentation slide decks and other materials can be accessed here
The writing project for this unit is Project 1: Summary & Response. Read about the project here.
Today we’ll discuss essential first day information (introductions, syllabus, grading, etc.). Slides here.
Read Lake’s (2013) essay Sparks will fly and identify what are the main issues he addresses in the text. How do these relate to the themes of this course? In class on Friday, we’ll talk about these ideas and reflect on what creator culture might look like. Slides here.
Read the first chapter of Levy’s (1984) book Hackers: Heroes of the computer revolution. We’ll continue working on our summary and response work and discuss how writing groups work. Slides here
note: if you find the format of the Gutenburg.org version hard to read, a PDF is available via Sakai (under Resources).
Read the second chapter of Hackers. Today we’ll work on defining the “hacker ethic” and exploring how this could apply to ideas like writing and research.Today we’ll be talking about writing a summary of a text and responding it to it. Specifically, you’ll be asked to write a summary and response to the excerpt we read from Levy’s book. Slides here.
This week, we’re going to switch gears a bit (temporarily) and talk about writing specifically.
For this class, read Straub’s (1999) chapter Responding - really responding - to other students’ writing.
For this unit, we’ll be reading about remixing and repurposing (and some of the legal issues and cultural values related to these issues). The writing project for this unit is to explore (and reflect on) the proces of repurposing language and media from our library archives to create something new using the WFU Wakerspace. As part of the assignment, you will will create an object and write an extended reflection on the process and your goals.
Today we will be meeting in ZSR 624 (Special Collections classroom) to learn about the digital collections and archives at Wake Forest. This will be integral to generate ideas for the second unit.
To prepare for this week’s class, please read the following two excerpts from to Lawrence Lessig’s (2008) book Remix (click here for the PDF Version):
notes: If you are interested in the video Lessig mentions in the first chapter you can see it here.
Some of the resources discussed in class today:
UNC has a digitized version of Catesby’s Natural History of Carolina, Florida, and the Bahama Islands. There’s also a version (in two volumes) at the Library of Congress.
WFU Howler Yearkbooks and the Old Gold & Black
To access digital versions of the Nuremberg Chronicle, see the links at the bottom of the Wikipedia entry. You can also go directly to the Cambridge University digitized version)
Finding aid for the Maya Angelou Film and Theater Collection
Finding aid for WFU graduate and screenwriter Laurence Stallings. His IMDB page and his Wikipedia entry
We will be discussing Lessig’s ideas of read-only and read/write culture in class (with a focus on the latter). We’ll also be talking about how this connects to our next writing assignment. Slides here.
Today we will be meeting in the Wakerspace on campus during the regular class meeting time. This will be an introduction to the space and will give you ideas for how you might approach your remix/repurpose project. The Wakerspace is a variation on what are traditionally called Makerspaces (or Hackerspaces) and has a wide-range of tools and hands-on resources for creation and design. Before class, please watch Robin Hooker’s (2018) TED talk on “A makerspace for everyone”
notes: If you are interested in signing up for specific Wakerspace workshops, you can find them here. You may also be interested in learning about the non-profit makerspace downtown, Mixxer.
On Friday, we will bring these ideas together (ZSR archives, Makerspace, and remix culture). To prepare for this class discussion, please complete the following
Read the remainder of Lessig’s chapter 4 (pp. 68-83).
Watch Cory Doctorow’s Stanford lecture on Copyright and Remix Culture
notes: You can find a playlist of Jonathan McIntosh’s remix videos here.
In this week’s class, we’re going to take a slight detour (content-wise) and read a bit of fiction and a response to the story.
For Wednesday, please read the short story Affordances by Cory Doctorow. The story explores connections between the control of information, personal technology, and identity. If you prefer to listen to the story, an mp3 version is available here (right-click to download the audio).
On Friday, we will read and discuss a response to the story by Nettrice Gaskins.
This week, we’re going to start a discussion on the intersection of writing and ideas we’ve been discussing so far (i.e., hacking and remixing). To that end, we’ll start by reading the first part of They Say, I Say (Graff & Birkenstein, 2018). Please read the introduction and chapters one through three (i.e., pp. 1-52). Also, make sure you are working on the drafts of your project two essays, as the draft is due on February 28th. Also, make sure you and your writing group have signed up for a workshop time on my appointment calendar.
Today we’ll also discuss the Smithsonian’s recent “release” of 2.8 million images into the public doman and their efforts to encourage remixes of their archived materials.
Please add your draft of project two to the appropriate folder on our shared Google drive. Creating the draft as a Google Doc (instead of uploading a Word document) can help your writing group comment more easily on the document.
For today’s class, please read through Part Two of They Say, I Say (pp. 53-100).
For today’s class Molly Keener will be coming to talk to our class about issues related to copyright, intellectual property, and other issues/questions you may have. To prepare for today’s class, read Broussard’s (2007) article on The Copyleft Movement: Creative Commons Licensing.
Also, read this short excerpt from Doctorow’s (2014) book Information Doesn’t Want to be Free: Laws for the Internet Age.
Handouts from Molly Keener’s class discussion are here and here. The original general information flyer on Creative Commons is available on the organization’s website.
We will be discussing Part Three of They Say, I Say. We will also be sharing our finished, physical products; please bring your object to class and be prepared to introduce the class to your work, method, and rationale.
Click here to explore the works from today’s class.
The writing project for this unit will be to syntheize information on how to incorporate and make use of others’ texts in academic writing.You can read more about the project on the Projects page.
This week we will be observing an extended break in response to the COVID-19 outbreak. All assigned readings and due dates have been postponed.
On or before March 25th, please complete the following four tasks:
Join the rest of the class for an optional open dicussion (via Zoom) at 10am. I’ll host these every week.
Make sure to complete the quiz on Stedman if you haven’t already.
Teaching and outreach librarian Meghan Webb has created a Voicethread workshop on how to use Zotero for class collaboration. You can access the Voicethread here (to comment on the thread, you’ll need to be logged in via your WFU account at wfu.voicethread.com):
https://wfu.voicethread.com/myvoice/thread/13853566/
While you watch, you can consult with Professor Webb regarding using Zotero for citing sources (and other questions) through Voicethread (use the comment function - Professor Web explains how in the Voicethread).
Wake has a guide for installing Zotero. Also, make sure you have Microsoft Word with Zotero working. You can get Word as part of the MS Office 365 program through WFU’s software download page. Zotero also works in other word processing software (e.g., Google Docs, Libre Office), but Professor Webb’s workshop explains how to use Zotero with MS Word.
For the week of March 30-April 3, we’ll be reading and discussing Hyland’s (2006) “Disciplinary Differences: Language Variation in Academic Discourses” (available here). This is a long and fairly complex article, so we’ll be talking about it all week. I recommend reading it in two parts (part one: through page 17, part two: the remainder).
Once you’ve read through the article, add your own thoughts to a class discussion document here.
Join our optional Zoom chat on Thursday (4/2) at 10am if you can.
Please read Haller’s (2010) essay “Walk, talk, cook, eat: A guide to using sources”. This essay is also from Writing Spaces. While you are reading, think about your own practices for incorporating sources in your writing. How are they similar or different to other types of academic writing you’ve read (e.g., Hyland, 2006)?
This is a holiday on the WFU academic calendar, so there is no assigned reading. Please submit your draft of Project 3 to the Shared Drive.
No required readings this week. Continue to work on finding research on your topic and reading the studies (and make sure to add sources to Zotero if you haven’t already).
Read and comment on your group members’ drafts
On April 15th and 17th I will host two short workshops (via Zoom) on how to use MiCUSP. Make sure you attend one of the two workshops. You’ll receive an email with the times and Zoom links.
If you haven’t already, make sure to read and comment on the drafts in your writing group. Email them a summary letter with your comments (cc me too).
Our final reading: Please read Remixing from the Harris’ (2017) book Rewriting: How to do things with texts. This chapter explores the idea of writing as remixing (and connects back to some of the key ideas from Lessig that we read a few weeks ago).
For Project 4, you will be writing an original plagiarism (see the page on writing projects).
Copyright © 2018 Jon Smart. All rights reserved.


Hi,
I am just looking, if I move emoncms from my W7-server to my Raspberry.
I took this ready to go Image: http://emoncms.org/site/docs/raspberrypiimage
Started up working without trouble.
Now the question as Linux-Noob: I am used to get access to the mysql-database via phpmyadmin. this I always started with http://192.168.x.y
When I want to enter this on the raspberry, I am redirected to http://192.168.x.y/emoncms = login-page of emoncms
Is there any possibility for a webfrontend of phpmyadmin?
regards / brutzler
Re: phpmyadmin on Raspberry Pi
Normally when I install phpmyadmin via "sudo apt-get install phpmyadmin" it is accessible at http://192.168.x.y/phpmyadmin.
Paul
Re: phpmyadmin on Raspberry Pi
If you have phphmyadmin installed on your pi, you can reach it with the adress http://192.168.x.y/phpmyadmin/.
If it's not installed there is a post explaining how to install it: http://openenergymonitor.org/emon/node/1975
Edit: not the fastest!
Re: phpmyadmin on Raspberry Pi
HI,
thx for your answers.
Because of this info:
Replaced with https://github.com/emoncms/emoncms/tree/bufferedwrite
I changed the image to "emonSD-13-08-14.img.zip"
There I tried your hints.
First I was not able to get access to the 192.168.x.y/emoncms. Because my intention is to store data locally on the Raspi, i went over so chapter "3a) Recording data locally and/or posting to emoncms.org" I was able to login to the rasp, but the next step (put os-partition to write) failed. ---> "bash: rpi: command not found".
Ignoring this, I tried to enable localemoncms, but there where a lot of error messages about read-only filesystem. Sounds logic.
Why does the rasp not found the command "rpi"?
Re: phpmyadmin on Raspberry Pi
The command should be
with no spaces not just rpi, You can find out more about how that command works on this thread http://openenergymonitor.org/emon/node/5567. Although in that instance it turned out to be a stray space.
Paul
Re: phpmyadmin on Raspberry Pi
you are right.
I always tried "rpi -rw". Its logical for a windows user to make a space between command and parameters. (now I know this is a script)
W/o space it was working :-)
After this i made your "sudo apt-get install phpmyadmin". Oh dear god, the rasp asked me a lot of questions. Hope I answered them correct. Did my very best.. Hehe.
Now I can login as phpmayadmin. You are right, its slow. And what was very astonishing: I am missing the emoncms database.... Do I have to make more modifications? I am comparing all what i see to a normal emoncms-installation. I hope this is not the wrong view.
General: What is my aim: I have an arduino, who is collecting data from S0-counter and temp/hum-sensors. These data-pool is sent from the arduino with api-commands to emoncms. Actually emoncms is running on a w7-server in my home-office. As I have seen a rasp-pi lie around in my studio, i thought it could be an alternative "emoncms-server"
regards/brutzler
Re: phpmyadmin on Raspberry Pi
Did you re-run the localemoncms-enable command after rpi-rw ?
You can set up 2 (or more) emoncms targets in emonhub so you can continue to collect data on the W7 PC while you asses the PI option. just need to add something like this to the [reporters] section in emonhub.conf in addition to the localhost and/or emoncms.org details
[[emoncms_W7]]
Type = EmonHubEmoncmsReporter
[[[init_settings]]]
[[[runtimesettings]]]
url = http://IP.ADD.OF.W7/emoncms
apikey = xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Re: phpmyadmin on Raspberry Pi
>>Did you re-run the localemoncms-enable command after rpi-rw ?
YES!
Big question: For what do i need this "Emonhub". I thought the way for me is:
ARDUINO -> Get http:/blabla telegram like this (http://192.168.x.y/emoncms/input/bulk.json?data=[[0,16,1137]]) to "emoncms-server" -> emoncms-input -> emoncmsfeed -> dashboard
So its working actually on my W7-server. Never did something with emonhub.
Re: phpmyadmin on Raspberry Pi
A big question indeed,
I didn't give much thought to your previous W7 set-up and my off the cuff response was based entirely on the fact you are using the RO image which is effectively emonhub with the option of emoncms on a SD card. That doesn't mean you must use it but it is IMO more likely for emonhub to be used without emoncms than the other way round, on a SD card that is. because an SD card is only used on a Pi and more often than not an rfm2pi is used to get data OEM on to a Pi.
emonHub is intended to be a single multi-platform solution to interface input devices to emoncms, hopefully replacing both the php and python raspberry pi to emoncms scripts as well as the "rock solid" OEM gateway previously installed on IPE-R1 raspbian based read-only OS to create the SD card image that this image now replaces.
If you are happy with the method you are using you can still do it that way, just because emonHub is there it's not compulsory, using emonHub however you could use your existing arduino but change the sketch to send frames in the form nodeid val1 val2 val3 via a socket to port 50011 at IP.ADD.OF.PI and emonhub can add a small amount of extra functionality like buffering if the target server is down and routing to multiple targets as described above, but it is essentially just an interface for sockets serial usb rfm etc with variable decoding and its done in a way to encourage development of custom interfacers and reporters for other inputs and applications.
Theres not much to convince someone to jump ship to emonhub if they are happy with what they have but moving forward it's appeal is it's a common versatile interface for
allmost applications therefore unifying how data gets to emoncms so as to focus development ......well you did ask :-)
Paul
Re: phpmyadmin on Raspberry Pi
OK, some more light in the dark.
You want to tell me, that the image with emonhub is not intended for what i want to do, but could work. You think the "older" image "emoncmspiv5avr_2may.img.zip" would be better for my project? BTW: "sudo apt-get install phpmyadmin" is not working on this image :-(
And it will always be a difference between a rasp-pi to a "normal" computer, because i need a certain package for a pi to minimize read/write on the SD-card. I am afraid, that this will prevent me from using newer emoncms-releases.
I just only thought it would be a low-power-alternative to my w7-server, because always sending data to the server prohibits the computer to go into standby. And that costs energy (money).
Now i have to think about, what is the best solution for me:
Edit:
I have seen, there is an emon-py, but there is only talking about serial data-transfer. Looks like, i can not use this for my http-data-transfer? And do i have the same graphic-possibilities like a pc-based emoncms?
Re: phpmyadmin on Raspberry Pi
My last post wasn't saying the image you are using isn't right. I was giving you an insight to emonhub so you could make your own decision about whether to adopt using emonhub or continue posting direct to emoncms.
I do not recognize that image but by the file name, it doesn't seem recent so possibly not what you want. Most of the recent ready to go images are focused on reducing SD card wear. When RPI was originally used for OEM projects on an SD card the lifespan was seriously reduced due to constant writes. the sd card images have explored and evolved to counter that issue. The 3 major landmarks are the "Rock solid" gateway which was read-only IPR-R1 based forwarding to a LAN or WAN emoncms install, then that was replaced more recently with emonhub running on raspbian configured as read-only and most recently a low-write version of emoncms developed specifically for SD cards was added.
None of this is really relative if you use a HDD with the pi, this is the option that best mimics a "normal" pc, for all intents and purposes aside from it's GPIO and low power it is a small "normal" linux PC when a HDD is used in place of the SD card.
If you want to run a full server version of emoncms on a pi you can do that by plugging in a hdd, moving the filesystem and installing full emoncms in almost exactly the same way you would a linux pc and end up with an installation that works pretty much the same as your W7 install with the additional redis functionality and at a fraction of the running costs.
emonhub is a different decision and if you only want to mimic your existing set-up then you do not NEED it, however there are some benefits and certainly if you plan to add to your network, develop or experiment then emonhub is definitely the way to go,
The current SD image has options to add a hard drive and there is a guide to upgrade to a full version of emoncms, but if you know you want a full hdd install, unless you want to specifically go that route I would recommend installing exactly what you want, how you want rather than using an image optimized for a senario that is not for you.
Sorry for another long post but it's better you have the knowledge to make your own informed decision to avoid straying down another long and winding path to somewhere other than where you want to be :-)
eg the emon-py is another low-write development which is a great concept if you are running on a SD card and do not mind the limitations that imposes.
You have not expressed a need to confine your Pi to an SD card but you have implied you would like full functionality so I think a hdd could be the way to go :-)
Paul
Re: phpmyadmin on Raspberry Pi
Hi Paul,
no matter about a long posting. I only have to read it certain times to understand exactly what you mean. You think exactly like me. Collecting as much information as possible and then make a final decision.
To your comments:
- emon-py limitations. I can not see, what limitations there are, only have read, that there is a serial data-input. No idea, if http... datatransfer is possible too.
- hdd on pi: As I know, there is only the possibility to connect the hdd over USB, and because of low power from the pi-usb-ports, an active USB-hub should be used. That makes the whole stuff taking more place. (PI+hdd+HUB+powersupply for hub). Some more questions coming up with this:
- Can i use a SSD instead of a normal (rotating) hdd?
- Do i still need a SD-Card? Don't think the pi can boot from USB directly
- And my greatest fear: is there a dummy faq to setup the emoncms as you talked above
regards/brutzler
Re: phpmyadmin on Raspberry Pi
emon-py was the predecessor to the current low write version of emoncms, Trystan was exploring reducing the write stress on the SD card, It is therefore not a full version of emoncms and some features may not be accessible. like maybe the full graphing capabilities of emoncms and possibly histograms etc I'm not entirely sure of the detail, my comment may of been too general and assuming again as it was mainly intended inform you that emon-py is not a full version of emoncms.
Yes this is one of the reasons users would prefer to use SD card, it is also the thinking behind the emonPi, I have 2 pi/hdd set-ups one uses a custom lead i made from a 2into1 external hdd lead and a short micro usb extn lead, the pi and hdd are interconnected by usb and powered independently by one 3a power supply. the second Pi has a 1.8" hdd which seems to function perfectly powered solely via the Pi usb.
You can but it is the same tech as the SD card so not recommended, the spinning disk is superior here.
Correct the boot partition of the SD card tells the Pi to mount the HDD file system, one of my Pi's boots from an old nokia 64MB SD card, yep that is 64MB, sounds as obsolete as a floppy disc now
To set up the hdd this is the guide I would recommend http://openenergymonitor.org/emon/node/5092 but at the point where you reboot to hdd do not install using apt-get install emoncms ETC.... as this is not the latest version. at that point use http://emoncms.org/site/docs/installlinux to install emoncms via git.
Paul
Re: phpmyadmin on Raspberry Pi
- Can i use a SSD instead of a normal (rotating) hdd?
You can but it is the same tech as the SD card so not recommended, the spinning disk is superior here.
Sure? Why do I have a MSATA-SSD-Drive in my laptop as boot-drive? Always thought SSD are more optimized for frequently R/W-cycles.
But as you tell me a 1,8" HDD is running directly, this would be an option! What sort of USB-Adapter do You use? And is this a special type of 1,8"HDD? I have seen a lot of HDD needing 0,5A and thats to much for the 300mA of the Pi.
Edit:
Perhaps: 5V / 300mA could be enough for 3,3V / 500mA
regards/brutzler
Re: phpmyadmin on Raspberry Pi
I'm not an expert but general opinion is the SSD will wear prematurely, it has been discussed numerous times try searching the forum for SSD. I think it's easy to confuse fast with frequent, I think a SSD has a finite number of writes, the technologies vary so some are better than others, a HDD however is spinning anyway regardless of the number of writes.
I thought 500mA was the std USB limit is the Pi different ?
I do have a 1.8" HDD successfully running on a single USB but I am also aware I am pushing the limits of the Pi's USB. I actually bought the 1.8" drive for it's physical size and just thought I would try it on a single USB and it has been fine ever since. I bought it on ebay secondhand in a case so I have not had to use a converter. The case has Hitachi on it but the drive inside is a Toshiba. see pics so I'm unaware of anything special about it.
The HDD states 500mA 3.3v but I imagine that is just for a short time when first spinning up, this will only happen at boot as the disk will then remain in use and does not not park or powerdown.
I therefore cannot guarantee this method will work, I may of just been lucky with my HDD purchase, I'm not sure.
Paul
Re: phpmyadmin on Raspberry Pi
I've just bought a Pimoroni PiHub to power my Hitachi HDD, which appears to work well, see this post.
It has a special USB output specifically for the Pi which kicks out up to 1.1A to accommodate any other boards attached to the Pi (which is more than the USB spec) at 5.2V. The HDD is then powered from any the 3 remaining hub ports.
The hub's power supply can supply up to 3A in total, and remains very cool whilst powering my Pi, RFM12Pi, Hub & HDD.
I'm well impressed with it., and even use a spare port to charge my phone.
Paul
Re: phpmyadmin on Raspberry Pi
Hi Paul,
yes, its a normal 40GB HDD.
How do you supply your pi? over the Micro-USB-plug from your computer (that's atm my way) or with an extra power supply over the blue connector?
I guess you are using a separate power supply ;-)
Hmm...
Sometimes I have seen a power supply wit >1A, plugged into the Micro-USB
brutzler
Re: phpmyadmin on Raspberry Pi
Hi brutzler
I use the same 5v 3amp micro usb power supply for all my Pi's.
I'm not sure what this blue connector is you refer to, the only blue connector I can see on the Pi is the 3.5mm audio out !
Paul
Re: phpmyadmin on Raspberry Pi
uppss
forget this. Had a hard night.......
--> I will buy a 1,8" HDD and try to install emoncms like your faqs tell me. May be I need your help again then ....
regards/brutzler


From 5.x using material component will break N tab component on iOS (which is bound to be removed). This is needed to allow using the latest native iOS features. If needed you can use either bottomnavigationbar (this one is the best choice, closest to material design) or tabs (clone of N one, but with a little less features)
Installation
Warning :warning: :warning:
From 5.x using material component will break N tab component on iOS (which is bound to be removed). This is needed to allow using the latest native iOS features. If needed you can use either bottomnavigationbar (this one is the best choice, closest to material design) or tabs (clone of N one, but with a little less features)
For N 7.0
tns plugin add @nativescript-community/ui-material-speeddial
For N 6.x
tns plugin add nativescript-material-speeddial
If using
tns-core-modules
tns plugin add<EMAIL_ADDRESS>Be sure to run a new build after adding plugins to avoid any issues.
Material Design Spec
Usage
NativeScript + Vue
import Vue from 'nativescript-vue'; import speeddialPlugin from '@nativescript-community/ui-material-speeddial/vue'; Vue.use(speeddialPlugin);
<MDSpeedDial buttonFontSize="26" text="mdi-one-up" buttonClass="mdi" buttonBackgroundColor="yellow" @tap="onTap"> <MDSpeedDialItem icon="res://ic_action_add" title="test1" backgroundColor="red" @tap="onTap"/> <MDSpeedDialItem text="mdi-card-account-mail" title="test2" buttonClass="mdi" backgroundColor="green" @tap="onTap"/> <MDSpeedDialItem backgroundImage="~/images/iu.jpg" backgroundColor="blue" @tap="onTap"/> <MDSpeedDialItem icon="res://ic_action_add" title="test4" backgroundColor="orange" @tap="onTap"/> </MDSpeedDial>


What is machine learning?
How is this method different from others?
How do we train machines?
How can we use machine learning?
What to expect from machine learning in the future?
Age of people?
Cat or dog?
Imagine, we have a company that sells killer-robots.
We want to know what peple thinking about us in social networks
Each comment = 'x', and his value = 'y'
Thank you very much! This is exactly what I was looking for, the quality is excellent! My neighbors will no longer bother me. The only negative is that it burned the floor of the area, with my house too.
Terrible quality! It does not understand that I order him, I advise you to avoid this manufacturer. Money back and thanks for that!
The 1000 most important words that can characterize the comment
Thank you very much! This is exactly what I was looking for, the quality is excellent! My neighbors will no longer bother me. The only negative is that he burned the floor of the area, with my house too.
(1, 1, 1, 0, 0, 0, ... 1)
Terrible quality!It does not understand that I order him! I advise you to avoid this manufacturer. Money back and thanks for that!
(0, 1, 0, 0, 1, 1, ... 0)
Apply weight to our selectors:
y = 3*(very) + 4*(thanks) + 5*(excellent) - 4*(negative) = 8
y = 4*(Terrible) - 3*(avoid) - 4*(thanks) = -3
4*(Terrible) - 3*(avoid) - 4*(thanks)


[gecode-users] Propagation order
Christian Schulte
cschulte at kth.se
Mon Jun 14 10:53:03 CEST 2010
Well,
You are right that A and B will go before C and C before D but this is just
in the current implementation. We might change the implementation in the
future, though. The reason why we just approximate the cost values is that
each cost value takes memory.
So, the idea is: very often the cost is respected by the system. But what
you can't do is: you implement D such that it breaks if C has not run
before.
Does that help?
--
Christian Schulte, www.ict.kth.se/~cschulte/
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Peter Vanhee
Sent: Monday, June 14, 2010 10:39 AM
To: users at gecode.org
Subject: Re: [gecode-users] Propagation order
Hi Christian,
Most of the propagators I have implemented behave like filters: they get at
least one assigned variable and then accept or discard the assignment.
Some constraints are much more heavy than others and therefore I'd have
them run after the less heavy constraints.
For example
A -> PropCost::binary(PropCost::LO);
B -> PropCost::ternary(PropCost::LO);
C ->PropCost::quadratic(PropCost::LO);
D -> PropCost::crazy(PropCost::HI);
Can I rely on the fact that always A goes before B, B before D and so on?
It seemed to me that D would be run before all the rest, but that between A,
B and C there was not always a clear order.
Bye,
Peter
On 14 Jun 2010, at 10:18, Christian Schulte wrote:
> Hi,
>
> There are of course the normal cost values: unary, binary, ternary,
linear,
> etc. The system picks the cheapest, however some cost values are treated
> alike. That is why there are no hard facts to be relied on.
>
> But maybe you can give us an idea what you try to achieve?
>
> Cheers
> Christian
>
> --
> Christian Schulte, www.ict.kth.se/~cschulte/
>
>
> -----Original Message-----
> From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
> Of Peter Vanhee
> Sent: Monday, June 14, 2010 7:23 AM
> To: users at gecode.org
> Subject: [gecode-users] Propagation order
>
> Hi all,
>
> I am trying to weight different propagators implementing a cost function
> "virtual PropCost cost(const Space&, const ModEventDelta&) const".
>
> As indicated by the documentation "The only hard fact you can rely on is
> that a propagator
> with a cost value using PropCost::HI is never given preference over a
> propagator with a cost
> value using PropCost::LO".
>
> For my particular problem however I'd need to weigh propagators quite
> differently,
> so they get executed almost sequentially, and simply saying LO or HI isn't
> enough.
> Does gecode offer another way to control the order of propagation?
>
> Thanks,
> Peter
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
>
_______________________________________________
Gecode users mailing list
users at gecode.org
https://www.gecode.org/mailman/listinfo/gecode-users
More information about the users
mailing list


Roberto Santana and Unai Garciarena
Department of Computer Science and Artificial Intelligence
University of the Basque Country
Y. Bengio. Learning deep architectures for AI. Foundations and trends in Machine Learning. 2.1. Pp. 1-127. 2009.
VGG in TensorFlow. 2016.
R. Salakhutdinov. Learning deep generative models. Annual Review of Statistics and Its Application. Vol. 2. Pp. 361-385. 2015.
R. Salakhutdinov. Learning deep generative models. Annual Review of Statistics and Its Application. Vol. 2. Pp. 361-385. 2015.
H. Wang, B. Raj, and E. P. Xing.On the Origin of Deep Learning. arXiv preprint arXiv:1702.07800. 2017.
O. Russakovsky et al. Imagenet large scale visual recognition challenge. International Journal of Computer Vision. Vol. 115, No. 3. Pp. 211-252. 2015.
O. Russakovsky et al. Imagenet large scale visual recognition challenge. International Journal of Computer Vision. Vol. 115, No. 3. Pp. 211-252. 2015.
O. Russakovsky et al. Imagenet large scale visual recognition challenge. International Journal of Computer Vision. Vol. 115, No. 3. Pp. 211-252. 2015.
A. Krizhevsky, I. Sutskever and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems. Pp. 1097-1105. 2012.
Figure: A. Deshpande A Beginner's Guide To Understanding Convolutional Neural Networks.
\[ v = \left | \frac{\sum_{i=1}^{q}\sum_{j=1}^{q} f_{i,j}d_{i,j}}{F} \right | \]
O. Russakovsky et al. Imagenet large scale visual recognition challenge. International Journal of Computer Vision. Vol. 115, No. 3. Pp. 211-252. 2015.
V. Dumoulin and F. Visin. A guide to convolution arithmetic for deep learning. arXiv preprint arXiv:1603.07285. 2016.
\[ o = \left \lfloor \frac{i+p-k}{s} \right \rfloor + 1 \]
Figure: A. Deshpande A Beginner's Guide To Understanding Convolutional Neural Networks.
Figure: A. Deshpande A Beginner's Guide To Understanding Convolutional Neural Networks.
| Layer | Type | Maps | Size | Kernel size | Stride | Activation |
|---|---|---|---|---|---|---|
| Out | Fully Connected | - | 10 | - | - | RBF |
| F6 | Fully Connected | - | 84 | - | - | tanh |
| C5 | Convolution | 120 | 1x1 | 5x5 | 1 | tanh |
| S4 | Avg. Pooling | 16 | 5x5 | 2x2 | 2 | tanh |
| C3 | Convolution | 16 | 10x10 | 5x5 | 1 | tanh |
| S2 | Avg. Pooling | 6 | 14x14 | 2x2 | 2 | tanh |
| C1 | Convolution | 6 | 28x28 | 5x5 | 1 | tanh |
| In | Input | 1 | 32x32 | - | - | - |
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE. 1998.
N. Srivastava et al. Dropout: a simple way to prevent neural networks from overfitting.Journal of machine learning research. Vol. 15 No. 1. Pp. 1929--1958. 2014.
A. Geron. Hands-On Machine Learning with Scikit-Learn and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly. 2017.
A. Geron. Hands-On Machine Learning with Scikit-Learn and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly. 2017.
P. Eckersley and Y. Nasser. AI Progress Measurement. Measuring the Progress of AI Research. Accessed 2017.
A. Canziani, A. Paszke, E. Culurciello. An Analysis of Deep Neural Network Models for Practical Applications. arXiv:1605.07678v4. 2017.
Figure: A. Deshpande A Beginner's Guide To Understanding Convolutional Neural Networks.
A. Krizhevsky, I. Sutskever and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems. Pp. 1097-1105. 2012.
A. Krizhevsky, I. Sutskever and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems. Pp. 1097-1105. 2012.
| Layer | Type | Maps | Size | Kernel size | Stride | Padding | Activation |
|---|---|---|---|---|---|---|---|
| Out | Fully Connected | - | 1000 | - | - | - | Softmax |
| F9 | Fully Connected | - | 4096 | - | - | - | ReLu |
| F8 | Fully Connected | - | 4096 | - | - | - | ReLu |
| C7 | Convolution | 256 | 13x13 | 3x3 | 1 | SAME | ReLU |
| C6 | Convolution | 384 | 13x13 | 3x3 | 1 | ? | ReLU |
| C5 | Convolution | 384 | 13x13 | 3x3 | 1 | SAME | ReLU |
| S4 | Max. Pooling | 256 | 13x13 | 3x3 | 2 | VALID | - |
| C3 | Convolution | 256 | ? | 5x5 | 1 | SAME | ReLU |
| S2 | Max. Pooling | 96 | 27x27 | 3x3 | 2 | VALID | - |
| C1 | Convolution | 96 | ? | 11x11 | 4 | SAME | ReLU |
| In | Input | 3(RGB) | 224x224 | - | - | - | - |
A. Krizhevsky, I. Sutskever and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems. Pp. 1097-1105. 2012.
A. Krizhevsky, I. Sutskever and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems. Pp. 1097-1105. 2012.
A. Krizhevsky, I. Sutskever and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems. Pp. 1097-1105. 2012.
P. Eckersley and Y. Nasser. AI Progress Measurement. Measuring the Progress of AI Research. Accessed 2017.
H. Wang, B. Raj, and E. P. Xing. On the Origin of Deep Learning. arXiv preprint arXiv:1702.07800. 2017.
Y. LeCun, Y. Bengio, and G. Hinton. Deep learning. Nature 521.7553 (2015): 436-444. 2015.
Wu et al. 3d shapenets: A deep representation for volumetric shapes.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Pp. 1912-1920. 2015.
H. Altae-Tran, B. Ramsundar, A. S. Pappu, and V. Pande Low data drug discovery with one-shot learning.ACS central science. Vol. 3. No. 4. 283. 2017.
J. de Wit and D. Hammack 2nd place solution for the 2017 national datascience bowl. Kaggle Competition. 2017.
J. de Wit and D. Hammack 2nd place solution for the 2017 national datascience bowl. Kaggle Competition. 2017.
F. Yu. Large-scale Scene Understanding Challenge. 2016.
F. Yu. Large-scale Scene Understanding Challenge. 2016.
M. Jiang, S. Huang, J. Duan, and Q. Zhao. Salicon: Saliency in context.In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Pp. 1072-1080. 2015.
Tsung-Yi Lin et al. Joint Workshop of the COCO and Places Challenges at ICCV 2017.
L. A. Gatys, A. S. Ecker, and M. Bethge. A Neural Algorithm of Artistic Style. arXiv preprint arXiv:1508.06576. 2015.


#include <sys/types.h> /* See NOTES */ #include <sys/socket.h> int accept(int sockfd, struct sockaddr *addr, socklen_t *addrlen); #define _GNU_SOURCE /* See feature_test_macros(7) */ #include <sys/socket.h> int accept4(int sockfd, struct sockaddr *addr, socklen_t *addrlen, int flags);
The argument sockfd is a socket that has been created with socket(2), bound to a local address with bind(2), and is listening for connections after a listen(2).
The argument addr is a pointer to a sockaddr structure. This structure is filled in with the address of the peer socket, as known to the communications layer. The exact format of the address returned addr is determined by the socket's address family (see socket(2) and the respective protocol man pages). When addr is NULL, nothing is filled in; in this case, addrlen is not used, and should also be NULL.
The addrlen argument is a value-result argument: the caller must initialize it to contain the size (in bytes) of the structure pointed to by addr; on return it will contain the actual size of the peer address.
The returned address is truncated if the buffer provided is too small; in this case, addrlen will return a value greater than was supplied to the call.
If no pending connections are present on the queue, and the socket is not marked as nonblocking, accept() blocks the caller until a connection is present. If the socket is marked nonblocking and no pending connections are present on the queue, accept() fails with the error EAGAIN or EWOULDBLOCK.
In order to be notified of incoming connections on a socket, you can use select(2) or poll(2). A readable event will be delivered when a new connection is attempted and you may then call accept() to get a socket for that connection. Alternatively, you can set the socket to deliver SIGIO when activity occurs on a socket; see socket(7) for details.
For certain protocols which require an explicit confirmation, such as DECNet, accept() can be thought of as merely dequeuing the next connection request and not implying confirmation. Confirmation can be implied by a normal read or write on the new file descriptor, and rejection can be implied by closing the new socket. Currently only DECNet has these semantics on Linux.
If flags is 0, then accept4() is the same as accept(). The following values can be bitwise ORed in flags to obtain different behavior:
In addition, Linux accept() may fail if:
In addition, network errors for the new socket and as defined for the protocol may be returned. Various Linux kernels can return other errors such as ENOSR, ESOCKTNOSUPPORT, EPROTONOSUPPORT, ETIMEDOUT. The value ERESTARTSYS may be seen during a trace.
accept4() is a nonstandard Linux extension.
On Linux, the new socket returned by accept() does not inherit file status flags such as O_NONBLOCK and O_ASYNC from the listening socket. This behavior differs from the canonical BSD sockets implementation. Portable programs should not rely on inheritance or noninheritance of file status flags and always explicitly set all required flags on the socket returned from accept().
There may not always be a connection waiting after a SIGIO is delivered or select(2) or poll(2) return a readability event because the connection might have been removed by an asynchronous network error or another thread before accept() is called. If this happens, then the call will block waiting for the next connection to arrive. To ensure that accept() never blocks, the passed socket sockfd needs to have the O_NONBLOCK flag set (see socket(7)).
"_Any_ sane library _must_ have "socklen_t" be the same size as int. Anything else breaks any BSD socket layer stuff. POSIX initially did make it a size_t, and I (and hopefully others, but obviously not too many) complained to them very loudly indeed. Making it a size_t is completely broken, exactly because size_t very seldom is the same size as "int" on 64-bit architectures, for example. And it has to be the same size as "int" because that's what the BSD socket interface is. Anyway, the POSIX people eventually got a clue, and created "socklen_t". They shouldn't have touched it in the first place, but once they did they felt it had to have a named type for some unfathomable reason (probably somebody didn't like losing face over having done the original stupid thing, so they silently just renamed their blunder)."


{% extends "layout.html" %} {% block content %} {% include "includes/phase_banner_alpha.html" %} Back to LDU selection {% include "includes/breadcrumbs.html" %} {% include "includes/entity_header.html" %} Select the team you want to view Canterbury Dartford & Gravesham Maidstone Medway South East Kent Swale Thanet West Kent View selected team or go back to LDU cluster selection {% endblock %}