This privacy policy pertains the mpv-android app.
mpv-android does not use any user accounts and does not collect or access any personal information. No identifying information or user data of any kind is transferred to any internet services or made available to third-parties.
This Privacy Policy is effective as of Sep 19th, 2022 and will remain in effect except with respect to any changes in its provisions in the future, which will be in effect immediately after being posted on this page. We reserve the right to update or change our Privacy Policy at any time and you should check this Privacy Policy periodically. Your continued use of the Service after we post any modifications to the Privacy Policy on this page will constitute your acknowledgment of the modifications and your consent to abide and be bound by the modified Privacy Policy.
mpv-android is published by Prismriver Media. Inquiries can be submitted to mpv@prismriver.jp.


---
layout: post
title: Changing the instance path
tags: []
status: publish
type: post
published: true
meta: {}
---
Another item to add to the list of JRun/cfmx configuration tips. If you wish to change the default path for your CFMX instance, then you need to edit the jrun-web.xml in cfusion_ear\cfusion_war\WEB-INF folder. Look for the <virtual-mapping> and add something like the following that will reflect your instance's new root path.
[code]
/
c:/mynewrootdir
[/code]
Thanks Simon for sharing this tip!


lucee.Component qb.models.Query.Builder
Query Builder for fluently creating SQL queries.
| Property Summary | ||||
|---|---|---|---|---|
| type | property | default | serializable | required |
struct
|
aggregate
The aggregate option and column to execute.
|
true
|
false
|
|
array
|
columns
An array of columns to select.
|
true
|
false
|
|
boolean
|
distinct
Flag to bring back only distinct values.
|
true
|
false
|
|
string
|
from
The base table of the query.
|
true
|
false
|
|
any
|
grammar
The specific grammar that will compile the builder statements.
|
true
|
false
|
|
array
|
groups
An array of GROUP BY statements.
|
true
|
false
|
|
array
|
havings
An array of HAVING statements.
|
true
|
false
|
|
array
|
joins
An array of JOIN statements.
|
true
|
false
|
|
numeric
|
limitValue
The LIMIT value, if any.
|
true
|
false
|
|
numeric
|
offsetValue
The OFFSET value, if any.
|
true
|
false
|
|
array
|
orders
An array of ORDER BY statements.
|
true
|
false
|
|
any
|
returnFormat
returnFormat callback.
|
true
|
false
|
|
any
|
utils
Query utilities shared across multiple models.
|
true
|
false
|
|
array
|
wheres
An array of WHERE statements.
|
true
|
false
|
| Constructor Summary | |
|---|---|
|
init([qb.models.Query.grammar grammar='[runtime expression]'], [QueryUtils utils='[runtime expression]'], [any returnFormat='array'])
Creates an empty query builder. |
| Method Summary | |
|---|---|
private Builder
|
addBindings(any newBindings, [string type='where'])
Adds a single binding or an array of bindings to a query for a given type. |
private Builder
|
addNestedWhereQuery(Builder query, [string combinator='and'])
Adds the bindings for a nested WHERE statment to the current query. |
Builder
|
addSelect(any columns)
Adds a selection of columns to the already selected columns. |
private Builder
|
addWhereExistsQuery([any query], [any combinator='and'], [any negate='false'])
Adds a WHERE EXISTS clause to the query. |
private any
|
aggregateQuery(string type, string column='*', [struct options='[runtime expression]'])
Perform an aggregate function on a query. |
private Builder
|
clearBindings()
Clear all the bindings on the query. |
numeric
|
count([string column='*'], [struct options='[runtime expression]'])
Return a count from a query. |
Builder
|
crossJoin(string table, [any first], [string operator], [any second])
Adds a CROSS JOIN to another table. |
any
|
delete([any id], [string idColumnName='id'], [struct options='[runtime expression]'], [boolean toSql='false'])
Deletes a record set. |
Builder
|
distinct()
Sets the DISTINCT flag for the query. |
boolean
|
exists([struct options='[runtime expression]'])
Returns true if the query returns any rows. |
any
|
find(any id, [string idColumn='id'], [struct options='[runtime expression]'])
Adds an id constraint to the query and returns the first record from the query. |
any
|
first([struct options='[runtime expression]'])
Returns the first record returned from a query. |
private Builder
|
forNestedWhere()
Creates a new query scoped to the same table as the current query. |
Builder
|
forPage(numeric pageNumber, numeric pageCount)
Helper method to calculate the limit and offset given a page number and count per page. |
Builder
|
from(string from)
Sets the FROM table of the query. |
any
|
get([any columns], [struct options='[runtime expression]'])
Runs the current select query. |
string
|
getAggregate()
|
array
|
getBindings()
Returns a flat array of bindings. |
string
|
getColumns()
|
string
|
getDistinct()
|
string
|
getFrom()
|
string
|
getGrammar()
|
string
|
getGroups()
|
string
|
getHavings()
|
string
|
getJoins()
|
string
|
getLimitValue()
|
string
|
getOffsetValue()
|
string
|
getOrders()
|
struct
|
getRawBindings()
Returns all the binding types and their associated bindings. |
string
|
getReturnFormat()
|
string
|
getUtils()
|
string
|
getWheres()
|
Builder
|
groupBy()
Add a group by clause to the query. |
Builder
|
having([any column], [any operator], [any value], [string combinator='and'])
Add a having clause to a query. |
string
|
implode(string column, [string glue=''], [struct options='[runtime expression]'])
Get all the values of a column in a query and return it as a single string glued together. |
any
|
insert(any values, [struct options='[runtime expression]'], [boolean toSql='false'])
Inserts a single struct or an array of structs in to a table. |
private boolean
|
isInvalidCombinator(string combinator)
Checks if a combinator is an invalid sql combinator (according to qb). |
private boolean
|
isInvalidOperator(string operator)
Checks if an operator is an invalid sql operator (according to qb). |
private boolean
|
isVariadicFunction(struct args)
Returns true if the arguments passed constitute a variadic function. |
Builder
|
join(string table, any first, [string operator='='], [string second], [string type='inner'], [boolean where='false'])
Adds an INNER JOIN to another table. |
Builder
|
joinWhere(string table, any first, [string operator], [string second], [string type='inner'])
Adds a JOIN to another table based on a `WHERE` clause instead of an `ON` clause. |
Builder
|
leftJoin(string table, [string first], [string operator], [string second], [boolean where])
Adds a LEFT JOIN to another table. |
Builder
|
limit(numeric value)
Sets the limit value for the query. |
any
|
max(string column, [struct options='[runtime expression]'])
Return the max of a column from a query. |
any
|
min(string column, [struct options='[runtime expression]'])
Return the min of a column from a query. |
Builder
|
newQuery()
Creates a new query using the same Grammar and QueryUtils. |
private array
|
normalizeListArgumentsToArray(string list)
Converts a list of arguments to an array. |
private array
|
normalizeToArray()
Converts the arguments passed in to it into an array. |
private array
|
normalizeVariadicArgumentsToArray(struct args)
Converts a variadic list of arguments to an array. |
Builder
|
offset(numeric value)
Sets the offset value for the query. |
any
|
onMissingMethod([string missingMethodName], [struct missingMethodArguments])
onMissingMethod serves the following purpose for Builder:. |
Builder
|
orderBy(any column, [string direction='asc'])
Add an order by clause to the query. |
Builder
|
orWhere([any column], [any operator], [any value])
Adds an OR WHERE clause to the query. |
Builder
|
orWhereBetween([any column], [any start], [any end], [any negate='false'])
Adds a OR WHERE BETWEEN clause to the query. |
Builder
|
orWhereColumn(any first, [any operator], [any second])
Adds a OR WHERE clause to the query comparing two columns. |
Builder
|
orWhereExists([any callback], [any negate='false'])
Adds an OR WHERE EXISTS clause to the query. |
Builder
|
orWhereIn([any column], [any values], [any negate='false'])
Adds an OR WHERE IN clause to the query. |
Builder
|
orWhereNotBetween([any column], [any start], [any end], [any combinator])
Adds an OR WHERE NOT BETWEEN clause to the query. |
Builder
|
orWhereNotExists([any callback])
Adds a OR WHERE NOT EXISTS clause to the query. |
Builder
|
orWhereNotIn([any column], [any values])
Adds an OR WHERE NOT IN clause to the query. |
Builder
|
orWhereNotNull([any column])
Adds an OR WHERE NOT NULL clause to the query. |
Builder
|
orWhereNull([any column], [any negate='false'])
Adds an OR WHERE NULL clause to the query. |
Builder
|
orWhereRaw(string sql, [array whereBindings='[runtime expression]'])
Adds a raw SQL statement to the WHERE clauses with an OR combinator. |
Expression
|
raw(string sql)
Wrap up any sql in an Expression. |
Builder
|
rightJoin(string table, [string first], [string operator], [string second], [boolean where])
Adds a RIGHT JOIN to another table. |
private any
|
run(string sql, [struct options='[runtime expression]'])
Execute a query and convert it to the proper return format. |
private any
|
runQuery(string sql, [struct options='[runtime expression]'])
Run a query through the specified grammar then clear all bindings. |
Builder
|
select([any columns='*'])
Sets a selection of columns to select from the query. |
Builder
|
selectRaw(any expression)
Adds a Expression to the already selected columns. |
any
|
setAggregate(struct aggregate)
|
any
|
setColumns(array columns)
|
private void
|
setDefaultValues()
Sets up the default values for a new builder instance. |
any
|
setDistinct(boolean distinct)
|
any
|
setFrom(string from)
|
any
|
setGrammar(any grammar)
|
any
|
setGroups(array groups)
|
any
|
setHavings(array havings)
|
any
|
setJoins(array joins)
|
any
|
setLimitValue(numeric limitValue)
|
any
|
setOffsetValue(numeric offsetValue)
|
any
|
setOrders(array orders)
|
Builder
|
setReturnFormat(any format)
Sets the return format for the query. |
any
|
setUtils(any utils)
|
any
|
setWheres(array wheres)
|
any
|
sum(string column, [struct options='[runtime expression]'])
Return the sum of a column from a query. |
Builder
|
table(string table)
Sets the FROM table of the query. |
Builder
|
take(numeric value)
Sets the limit value for the query. |
Builder
|
tap(any callback)
Tap takes a callback and calls that callback with a copy of the current query. |
string
|
toSQL()
Returns the Builder compiled to grammar-specific sql. |
any
|
update(struct values, [struct options='[runtime expression]'], [boolean toSql='false'])
Updates a table with a struct of column and value pairs. |
any
|
updateOrInsert(struct values, [struct options='[runtime expression]'], [boolean toSql='false'])
If the query returns any rows, updates the first result found. |
any
|
value(string column, [struct options='[runtime expression]'])
Returns the first value of a column in a query. |
array
|
values(string column, [struct options='[runtime expression]'])
Returns an array of values for a column in a query. |
Builder
|
when(boolean condition, [any onTrue], [any onFalse])
When is a useful helper method that introduces if / else control flow without breaking chainability. |
Builder
|
where([any column], [any operator], [any value], [string combinator='and'])
Adds a WHERE clause to the query. |
Builder
|
whereBetween([any column], [any start], [any end], [any combinator='and'], [any negate='false'])
Adds a WHERE BETWEEN clause to the query. |
Builder
|
whereColumn(any first, [any operator], [any second], [string combinator='and'])
Adds a WHERE clause to the query comparing two columns. |
Builder
|
whereExists([any callback], [any combinator='and'], [any negate='false'])
Adds a WHERE EXISTS clause to the query. |
Builder
|
whereIn([any column], [any values], [any combinator='and'], [any negate='false'])
Adds a WHERE IN clause to the query. |
private Builder
|
whereInSub([any column], [any callback], [any combinator='and'], [any negate='false'])
Adds a WHERE IN clause to the query using a subselect. |
private Builder
|
whereNested(any callback, [any combinator='and'])
Adds a nested where statement to the query. |
Builder
|
whereNotBetween([any column], [any start], [any end], [any combinator])
Adds a WHERE NOT BETWEEN clause to the query. |
Builder
|
whereNotExists([any callback], [any combinator='and'])
Adds a WHERE NOT EXISTS clause to the query. |
Builder
|
whereNotIn([any column], [any values], [any combinator='and'])
Adds a WHERE NOT IN clause to the query. |
Builder
|
whereNotNull([any column], [any combinator='and'])
Adds a WHERE NOT NULL clause to the query. |
Builder
|
whereNull([any column], [any combinator='and'], [any negate='false'])
Adds a WHERE NULL clause to the query. |
Builder
|
whereRaw(string sql, [array whereBindings='[runtime expression]'], [string combinator='and'])
Adds a raw SQL statement to the WHERE clauses. |
private Builder
|
whereSub([any column], [any operator], [any callback], [any combinator='and'])
Adds a where clause where the value is a subquery. |
private any
|
withAggregate(struct aggregate, any callback)
Runs the code inside the callback with the given aggregate in place and then sets the aggregate back to its original value. |
private any
|
withColumns(any columns, any callback)
Runs the code inside the callback with the given columns selected and then sets the columns back to its original value. |
private any
|
withReturnFormat(any returnFormat, any callback)
Runs the code inside the callback with the return format specified and then sets the return format back to its original value. |
| Methods inherited from class lucee.Component |
|---|
| None |
| Constructor Detail |
|---|
Creates an empty query builder.
grammar
- The grammar to use when compiling queries. Default: qb.models.Query.Grammars.Grammarutils
- A collection of query utilities. Default: qb.models.Query.QueryUtilsreturnFormat
- the closure (or string format shortcut) that modifies the query and is eventually returned to the caller. Default: 'array'| Property Detail |
|---|
The aggregate option and column to execute. e.g. { type = "count", column = "*" }
access
- publicrequired
- falsereturntype
- anyserializable
- trueAn array of columns to select.
access
- publicrequired
- falsereturntype
- anyserializable
- trueFlag to bring back only distinct values.
access
- publicrequired
- falsereturntype
- anyserializable
- trueThe base table of the query.
access
- publicrequired
- falsereturntype
- anyserializable
- trueThe specific grammar that will compile the builder statements. e.g. MySQLGrammar, OracleGrammar, etc.
access
- publicrequired
- falsereturntype
- anyserializable
- trueAn array of GROUP BY statements.
access
- publicrequired
- falsereturntype
- anyserializable
- trueAn array of HAVING statements.
access
- publicrequired
- falsereturntype
- anyserializable
- trueAn array of JOIN statements.
access
- publicrequired
- falsereturntype
- anyserializable
- trueThe LIMIT value, if any.
access
- publicrequired
- falsereturntype
- anyserializable
- trueThe OFFSET value, if any.
access
- publicrequired
- falsereturntype
- anyserializable
- trueAn array of ORDER BY statements.
access
- publicrequired
- falsereturntype
- anyserializable
- truereturnFormat callback If provided, the result of the callback is returned as the result of builder. Can optionally pass either "array" or "query" and the correct callback will be generated
access
- publicrequired
- falsereturntype
- anyserializable
- trueQuery utilities shared across multiple models.
access
- publicrequired
- falsereturntype
- anyserializable
- trueAn array of WHERE statements.
access
- publicrequired
- falsereturntype
- anyserializable
- true| Method Detail |
|---|
Adds a single binding or an array of bindings to a query for a given type.
newBindings
- A single binding or an array of bindings to add for a given type.type
- The type of binding to add.Adds the bindings for a nested WHERE statment to the current query.
query
- The query to add as a nested WHERE statementcombinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"Adds a selection of columns to the already selected columns. Individual columns can contain fully-qualified names (i.e. "some_table.some_column"), fully-qualified names with table aliases (i.e. "alias.some_column"), and even set column aliases themselves (i.e. "some_column AS c") Each value will be wrapped correctly, according to the database grammar being used. If no columns have been set, this column will overwrite the global "*".
columns
- A single column, a list or columns (comma-separated), or an array of columns.Adds a WHERE EXISTS clause to the query.
query
- The EXISTS query to add as a constraint.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"negate
- False for EXISTS, True for NOT EXISTS. Default: false.Perform an aggregate function on a query. The original query is unaltered by this operation.
type
- The aggregate type to execute.column
- The column on which to find the specified aggregate. Default: "*".options
- Any options to pass to `queryExecute`. Default: {}.Clear all the bindings on the query.
Return a count from a query. The original query is unaltered by this operation.
column
- The column on which to count records. Default: "*".options
- Any options to pass to `queryExecute`. Default: {}.Adds a CROSS JOIN to another table. For simple joins, this joins one table to another in a cross join. For complex joins, a closure can be passed to `first`. This allows multiple `on` and `where` conditions to be applied to the join.
table
- The table to join to the query.first
- The first column in the join's `on` statement. This alternatively can be a closure that will be passed a JoinClause for complex joins. Passing a closure ignores all subsequent parameters.operator
- The boolean operator for the join clause. Default: "=".second
- The second column in the join's `on` statement.Deletes a record set. This call must come after setting the query's table using `from` or `table`. Any constraining of the update query should be done using the appropriate WHERE statement before calling `update`.
id
- A convience argument for `where( "id", "=", arguments.id ). The query can be constrained by normal WHERE methods if you have more complex needs.idColumnName
- The name of the id column for the delete shorthand. Default: "id".options
- Any options to pass to `queryExecute`. Default: {}.toSql
- If true, returns the raw sql string instead of running the query. Useful for debugging. Default: false.Sets the DISTINCT flag for the query.
Returns true if the query returns any rows.
options
- Any options to pass to `queryExecute`. Default: {}.Adds an id constraint to the query and returns the first record from the query.
id
- The id value to look up.idColumn
- The name of the id column to constrain. Default: "id".options
- Any options to pass to `queryExecute`. Default: {}.Returns the first record returned from a query.
options
- Any options to pass to `queryExecute`. Default: {}.Creates a new query scoped to the same table as the current query.
Helper method to calculate the limit and offset given a page number and count per page.
pageNumber
- The page number to retrievepageCount
- The number of records per page.Sets the FROM table of the query.
from
- The name of the table to from which the query is based.Runs the current select query. The selected columns before calling get will be restored after running the query.
columns
- An optional column, list of columns, or array of columns to select.options
- Any options to pass to `queryExecute`. Default: {}.Returns a flat array of bindings. Used as the parameter list for `queryExecute`.
Returns all the binding types and their associated bindings.
Add a group by clause to the query. `groupBy` allows three ways to specify the grouping columns: - a comma-separated list - an array - variadic arguments All the columns passed this way will be individually added to the query.
Add a having clause to a query.
column
- The column with which to constrain the having clause. An expression (`builder.raw()`) can be passed as well.operator
- The operator to use for the constraint (i.e. "=", "<", ">=", etc.). A value can be passed as the `operator` and the `value` left null as a shortcut for equals (e.g. where( "column", 1 ) == where( "column", "=", 1 ) ).value
- The value with which to constrain the column. An expression (`builder.raw()`) can be passed as well.combinator
Get all the values of a column in a query and return it as a single string glued together.
column
- The name of the column from which to extract the values.glue
- The string to use when joining the columns together.options
- Any options to pass to `queryExecute`. Default: {}.Inserts a single struct or an array of structs in to a table. This call must come after setting the query's table using `from` or `table`.
values
- A struct or array of structs to insert in to the table.options
- Any options to pass to `queryExecute`. Default: {}.toSql
- If true, returns the raw sql string instead of running the query. Useful for debugging. Default: false.Checks if a combinator is an invalid sql combinator (according to qb).
combinator
- The combinator to check.Checks if an operator is an invalid sql operator (according to qb).
operator
- The operator to check.Returns true if the arguments passed constitute a variadic function.
args
- The arguments of another function.Adds an INNER JOIN to another table. For simple joins, this specifies a column on which to join the two tables. For complex joins, a closure can be passed to `first`. This allows multiple `on` and `where` conditions to be applied to the join.
table
- The table to join to the query.first
- The first column in the join's `on` statement. This alternatively can be a closure that will be passed a JoinClause for complex joins. Passing a closure ignores all subsequent parameters.operator
- The boolean operator for the join clause. Default: "=".second
- The second column in the join's `on` statement.type
- The type of the join. Default: "inner". Passing this as an argument is discouraged for readability. Use the dedicated methods like `leftJoin` and `rightJoin` where possible.where
- Sets if the value of `second` should be interpreted as a column or a value. Passing this as an argument is discouraged. Use the dedicated `joinWhere` or a join closure where possible.Adds a JOIN to another table based on a `WHERE` clause instead of an `ON` clause. `where` clauses introduce parameters and parameter bindings whereas `on` clauses join between columns and don't need parameter bindings. For simple joins, this specifies a column on which to join the two tables. For complex joins, a closure can be passed to `first`. This allows multiple `on` and `where` conditions to be applied to the join.
table
- The table to join to the query.first
- The first column in the join's `on` statement. This alternatively can be a closure that will be passed a JoinClause for complex joins. Passing a closure ignores all subsequent parameters.operator
- The boolean operator for the join clause. Default: "=".second
- The second column in the join's `on` statement.type
- The type of the join. Default: "inner". Passing this as an argument is discouraged for readability. Use the dedicated methods like `leftJoin` and `rightJoin` where possible.Adds a LEFT JOIN to another table. For simple joins, this specifies a column on which to join the two tables. For complex joins, a closure can be passed to `first`. This allows multiple `on` and `where` conditions to be applied to the join.
table
- The table to join to the query.first
- The first column in the join's `on` statement. This alternatively can be a closure that will be passed a JoinClause for complex joins. Passing a closure ignores all subsequent parameters.operator
- The boolean operator for the join clause. Default: "=".second
- The second column in the join's `on` statement.where
- Sets if the value of `second` should be interpreted as a column or a value. Passing this as an argument is discouraged. Use the dedicated `joinWhere` or a join closure where possible.Sets the limit value for the query.
value
- The limit value for the query.Return the max of a column from a query. The original query is unaltered by this operation.
column
- The column on which to find the max.options
- Any options to pass to `queryExecute`. Default: {}.Return the min of a column from a query. The original query is unaltered by this operation.
column
- The column on which to find the min.options
- Any options to pass to `queryExecute`. Default: {}.Creates a new query using the same Grammar and QueryUtils.
Converts a list of arguments to an array.
list
- A list containing multiple arguments.Converts the arguments passed in to it into an array.
Converts a variadic list of arguments to an array.
args
- The arguments of another function.Sets the offset value for the query.
value
- The offset value for the query.onMissingMethod serves the following purpose for Builder: Magic `where` methods. If a method starts with `where` or `orWhere` but doesn't match any other methods, Builder assumes that what comes after is the column name to constrain. All the other arguments to `where` are shifted accordingly.
missingMethodName
missingMethodArguments
Add an order by clause to the query. To order by multiple columns, call `orderBy` multiple times. The order in which `orderBy` is called matters and is the order it appears in the SQL.
column
- The name of the column to order by. An expression (`builder.raw()`) can be passed as well.direction
- The direction by which to order the query. Accepts "asc" OR "desc". Default: "asc".Adds an OR WHERE clause to the query.
column
- The name of the column with which to constrain the query. A closure can be passed to begin a nested where statement.operator
- The operator to use for the constraint (i.e. "=", "<", ">=", etc.). A value can be passed as the `operator` and the `value` left null as a shortcut for equals (e.g. where( "column", 1 ) == where( "column", "=", 1 ) ).value
- The value with which to constrain the column. An expression (`builder.raw()`) can be passed as the value as well.Adds a OR WHERE BETWEEN clause to the query.
column
- The name of the column with which to constrain the query.start
- The beginning value of the BETWEEN statement.end
- The end value of the BETWEEN statement.negate
- False for BETWEEN, True for NOT BETWEEN. Default: false.Adds a OR WHERE clause to the query comparing two columns
first
- The name of the first column to compare.operator
- The operator to use for the constraint (i.e. "=", "<", ">=", etc.). A value can be passed as the `operator` and the `second` left null as a shortcut for equals (e.g. whereColumn( "columnA", "columnB" ) == where( "column", "=", "columnB" ) ).second
- The name of the second column to compare.Adds an OR WHERE EXISTS clause to the query.
callback
- A callback to specify the query for the EXISTS clause. It will be passed a query as the only argument.negate
- False for EXISTS, True for NOT EXISTS. Default: false.Adds an OR WHERE IN clause to the query.
column
- The name of the column with which to constrain the query. A closure can be passed to begin a nested where statement.values
- The values with which to constrain the column. An expression (`builder.raw()`) can be passed as any of the values as well.negate
- False for IN, True for NOT IN. Default: false.Adds an OR WHERE NOT BETWEEN clause to the query.
column
- The name of the column with which to constrain the query.start
- The beginning value of the BETWEEN statement.end
- The end value of the BETWEEN statement.combinator
Adds a OR WHERE NOT EXISTS clause to the query.
callback
- A callback to specify the query for the EXISTS clause. It will be passed a query as the only argument.Adds an OR WHERE NOT IN clause to the query.
column
- The name of the column with which to constrain the query. A closure can be passed to begin a nested where statement.values
- The values with which to constrain the column. An expression (`builder.raw()`) can be passed as any of the values as well.Adds an OR WHERE NOT NULL clause to the query.
column
- The name of the column to check if it is NULL.Adds an OR WHERE NULL clause to the query.
column
- The name of the column to check if it is NULL.negate
- False for NULL, True for NOT NULL. Default: false.Adds a raw SQL statement to the WHERE clauses with an OR combinator.
sql
- The raw SQL to add to the query.whereBindings
- Any bindings needed for the raw SQL. Default: [].Wrap up any sql in an Expression. Expressions are not parameterized or escaped in any way.
sql
- The raw sql to wrap up in an Expression.Adds a RIGHT JOIN to another table. For simple joins, this specifies a column on which to join the two tables. For complex joins, a closure can be passed to `first`. This allows multiple `on` and `where` conditions to be applied to the join.
table
- The table to join to the query.first
- The first column in the join's `on` statement. This alternatively can be a closure that will be passed a JoinClause for complex joins. Passing a closure ignores all subsequent parameters.operator
- The boolean operator for the join clause. Default: "=".second
- The second column in the join's `on` statement.where
- Sets if the value of `second` should be interpreted as a column or a value. Passing this as an argument is discouraged. Use the dedicated `joinWhere` or a join closure where possible.Execute a query and convert it to the proper return format.
sql
- The sql string to execute.options
- Any options to pass to `queryExecute`. Default: {}.Run a query through the specified grammar then clear all bindings.
sql
- The sql string to execute.options
- Any options to pass to `queryExecute`. Default: {}.Sets a selection of columns to select from the query. Individual columns can contain fully-qualified names (i.e. "some_table.some_column"), fully-qualified names with table aliases (i.e. "alias.some_column"), and even set column aliases themselves (i.e. "some_column AS c") Each value will be wrapped correctly, according to the database grammar being used.
columns
- A single column, a list or columns (comma-separated), or an array of columns. Default: "*".Adds a Expression to the already selected columns. Individual columns can contain fully-qualified names (i.e. "some_table.some_column"), fully-qualified names with table aliases (i.e. "alias.some_column"), and even set column aliases themselves (i.e. "some_column AS c") Each value will be wrapped correctly, according to the database grammar being used. If no columns have been set, this column will overwrite the global "*".
expression
- A raw query expression to add to the query.aggregate
columns
Sets up the default values for a new builder instance.
distinct
from
grammar
groups
havings
joins
limitValue
offsetValue
orders
Sets the return format for the query. The return format can be a simple string like "query" to return queries or "array" to return an array of structs. Alternative, the return format can be a closure. The closure is passed the query as the only argument. The result of the closure is returned as the result of the query.
format
- "query", "array", or a closure.utils
wheres
Return the sum of a column from a query. The original query is unaltered by this operation.
column
- The column on which to find the sum.options
- Any options to pass to `queryExecute`. Default: {}.Sets the FROM table of the query. Alias for `from`
table
- The name of the table to from which the query is based.Sets the limit value for the query. Alias for `limit`.
value
- The limit value for the query.Tap takes a callback and calls that callback with a copy of the current query. The results of calling the callback are ignored. The query is returned unmodified.
callback
- A callback to execute with the current query.Returns the Builder compiled to grammar-specific sql.
Updates a table with a struct of column and value pairs. This call must come after setting the query's table using `from` or `table`. Any constraining of the update query should be done using the appropriate WHERE statement before calling `update`.
values
- A struct of column and value pairs to update.options
- Any options to pass to `queryExecute`. Default: {}.toSql
- If true, returns the raw sql string instead of running the query. Useful for debugging. Default: false.If the query returns any rows, updates the first result found. Otherwise, inserts the values into the table. This call must come after setting the query's table using `from` or `table`. Any constraining of the query should be done using the appropriate WHERE statement before calling `updateOrInsert`.
values
- A struct of column and value pairs to update.options
- Any options to pass to `queryExecute`. Default: {}.toSql
- If true, returns the raw sql string instead of running the query. Useful for debugging. Default: false.Returns the first value of a column in a query.
column
- The column for which to retrieve the value.options
- Any options to pass to `queryExecute`. Default: {}.Returns an array of values for a column in a query.
column
- The column for which to retrieve the values.options
- Any options to pass to `queryExecute`. Default: {}.When is a useful helper method that introduces if / else control flow without breaking chainability. When the `condition` is true, the `onTrue` callback is triggered. If the `condition` is false and an `onFalse` callback is passed, it is triggered. Otherwise, the query is returned unmodified.
condition
- A boolean condition that if true will trigger the `onTrue` callback. If not true, the `onFalse` callback will trigger if it was passed. Otherwise, the query is returned unmodified.onTrue
- A closure that will be triggered if the `condition` is true.onFalse
Adds a WHERE clause to the query.
column
- The name of the column with which to constrain the query. A closure can be passed to begin a nested where statement.operator
- The operator to use for the constraint (i.e. "=", "<", ">=", etc.). A value can be passed as the `operator` and the `value` left null as a shortcut for equals (e.g. where( "column", 1 ) == where( "column", "=", 1 ) ).value
- The value with which to constrain the column. An expression (`builder.raw()`) can be passed as well.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"Adds a WHERE BETWEEN clause to the query.
column
- The name of the column with which to constrain the query.start
- The beginning value of the BETWEEN statement.end
- The end value of the BETWEEN statement.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"negate
- False for BETWEEN, True for NOT BETWEEN. Default: false.Adds a WHERE clause to the query comparing two columns
first
- The name of the first column to compare.operator
- The operator to use for the constraint (i.e. "=", "<", ">=", etc.). A value can be passed as the `operator` and the `second` left null as a shortcut for equals (e.g. whereColumn( "columnA", "columnB" ) == where( "column", "=", "columnB" ) ).second
- The name of the second column to compare.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"Adds a WHERE EXISTS clause to the query.
callback
- A callback to specify the query for the EXISTS clause. It will be passed a query as the only argument.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"negate
- False for EXISTS, True for NOT EXISTS. Default: false.Adds a WHERE IN clause to the query.
column
- The name of the column with which to constrain the query. A closure can be passed to begin a nested where statement.values
- The values with which to constrain the column. An expression (`builder.raw()`) can be passed as any of the values as well.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"negate
- False for IN, True for NOT IN. Default: false.Adds a WHERE IN clause to the query using a subselect. To call this using the public api, pass a closure to `whereIn` as the second argument (`values`).
column
- The name of the column with which to constrain the query.callback
- A closure that will contain the subquery with which to constain this clause.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"negate
- False for IN, True for NOT IN. Default: false.Adds a nested where statement to the query. (Basically adding parenthesis to the statments in the nested section.) The public api to create a nested WHERE statement is by passing a callback as the first parameter to `where`.
callback
- The callback that contains the nested query logic.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"Adds a WHERE NOT BETWEEN clause to the query.
column
- The name of the column with which to constrain the query.start
- The beginning value of the BETWEEN statement.end
- The end value of the BETWEEN statement.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"Adds a WHERE NOT EXISTS clause to the query.
callback
- A callback to specify the query for the EXISTS clause. It will be passed a query as the only argument.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"Adds a WHERE NOT IN clause to the query.
column
- The name of the column with which to constrain the query. A closure can be passed to begin a nested where statement.values
- The values with which to constrain the column. An expression (`builder.raw()`) can be passed as any of the values as well.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"Adds a WHERE NOT NULL clause to the query.
column
- The name of the column to check if it is NULL.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"Adds a WHERE NULL clause to the query.
column
- The name of the column to check if it is NULL.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"negate
- False for NULL, True for NOT NULL. Default: false.Adds a raw SQL statement to the WHERE clauses.
sql
- The raw SQL to add to the query.whereBindings
- Any bindings needed for the raw SQL. Default: [].combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"Adds a where clause where the value is a subquery.
column
- The name of the column with which to constrain the query.operator
- The operator to use for the constraint (i.e. "=", "<", ">=", etc.).callback
- The closure that defines the subquery. A new query will be passed to the closure as the only argument.combinator
- The boolean combinator for the clause (e.g. "and" or "or"). Default: "and"Runs the code inside the callback with the given aggregate in place and then sets the aggregate back to its original value.
aggregate
- he aggregate option and column to execute. (e.g. `{ type = "count", column = "*" }`).callback
- The code to execute with the given aggregate.Runs the code inside the callback with the given columns selected and then sets the columns back to its original value.
columns
- A single column, a list or columns (comma-separated), or an array of columns.callback
- The code to execute with the given columns.Runs the code inside the callback with the return format specified and then sets the return format back to its original value.
returnFormat
- "query", "array", or a closure.callback
- The code to execute with the given return format.


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Welcome to moodLighting!
We are an experimental emotional analytics service dedicated to studying the effect of both major and minor world events on human emotion!
We study six core emotions: Love,
Joy,
Surprise,
Anger,
Sadness
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Fear.


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The ache in her chest was heavier than the blabbing of gossip, yet as she put bleach onto the fabric of her life, she found a way to lighten her load. [G|D]
With great ado, the crusader marched forth towards the barnacle-covered rocks that lay before him, determined to battle any obstacles in his way. [G|D]
As she stirred her cup of caff, the beady eyes of the cloverleaf patterned mug stared back at her, with a reminder of the luck she possessed. [G|D]
As the cottager joined the bandwagon, they were no longer the aforesaid, but instead a unified force of determination and strength. [G|D]


net.corda.core.contracts
Interfaces
Attachment
BilateralNettableState
CommandData
Contract
ContractState
DealState
FixableDealState
FungibleAsset
IssuanceDefinition
IssueCommand
LinearState
MoveCommand
MultilateralNettableState
NamedByHash
NetCommand
NettableState
OwnableState
SchedulableState
Scheduled
Classes
Amount
AuthenticatedObject
BusinessCalendar
Command
Commodity
ContractsDSL
DummyContract
DummyContractKt
DummyState
Expression
ExpressionDeserializer
ExpressionSerializer
FinanceTypesKt
Fix
FixOf
FungibleAssetKt
Issued
PartyAndReference
Requirements
ScheduledActivity
ScheduledStateRef
StateAndRef
StateRef
StructuresKt
Tenor
Timestamp
TransactionForContract
TransactionGraphSearch
TransactionState
TransactionType
TypeOnlyCommandData
UniqueIdentifier
Enums
AccrualAdjustment
DateRollConvention
DateRollDirection
DayCountBasisDay
DayCountBasisYear
Frequency
NetType
PaymentRule
Exceptions
InsufficientBalanceException
TransactionConflictException
TransactionResolutionException
TransactionVerificationException


SIX-STRING SAMURAI
USA. 1998. Director - Lance Mungia, Screenplay - Mungia & Jeffrey Falcon, Producers - Michael Burns & Leanna Creel, Photography - Kristian Bernier, Music - Brian Tyler, Songs -The Red Elvises, Visual Effects - Jason Dunn, Production Design - Falcon. Production Company - HSX Films. Jeffrey Falcon (Buddy), Justin McGuire (The Kid), Stephane Gauger (Death), Lex Lang (Voice of Death), John Sakisian (Russian General)
Plot: In 1957 the USA was devastated by a Russian nuclear strike. In Lost Vegas, Elvis was proclaimed the king. But now with the death of Elvis, the guitar and samurai-sword wielding Buddy seeks to become the new king. Reluctantly allowing himself to be accompanied by an orphan child that he saves, Buddy makes his way across the post-apocalyptic Nevada Desert, fighting off crazies, while pursued by Death who wants to usurp rock'n'roll with heavy metal.
It is not long into 'Six-String Samurai' when you wonder what on Earth it is you have sat down to watch. The opening moments feature a samurai sword-waving Buddy Holly lookalike (in the midst of what the opening credits tell us is a post-holocaust alternate world) despatching Neanderthal mutants and trio of bowlers who hide blades inside their bowling pins, while a group of mariachi Elvis-impersonators play on from the sideline. Subsequent encounters include brushes with a strange cannibal family and a Spinach Monster which, in what appears to be an attempt to parody bad sf movies, is represented by an eye on a corrugated pipe, with the rock'n'roll samurai hero all the while being pursued by a heavy metal-playing Death.
It rapidly becomes apparent that 'Six-String Samurai' is an offbeat indie experiment in cinematic textural meldings. It reads as a conflation of rock'n'roll mythology crossbred with Japanese samurai films, a parody of the whole 'Mad Max' post-holocaust genre and an attempt to be a bad sf movie.
But oddly enough all the silliness eventually develops a certain panache of sorts. Director Mungia manages all the action poses with a reasonable degree of style - the film and its low-budget chutzpah ends up reminding one to a lesser extent of Robert Rodriguez and what he set out to do in his 1993 debut 'El Mariachi'. Mungia's stroke of luck is his lead actor (also his co-writer and production designer) Jeffrey Falcon. Besides bearing an uncanny resemblance to Buddy Holly, Falcon pulls off the potentially absurd image of a bespectacled, bedraggled sword-wielding Buddy Holly with thorough conviction. Falcon also delivers the cod rock'n'roll dialogue with a wonderfully thin-lipped mealy pout and proves surprisingly lithe when it comes to all the fight poses. Ultimately the film proves an oddity that leaves one scratching their head in puzzlement, but not an unenjoyable one.
Copyright Richard Scheib 1998
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
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


Robot millipede printed by 3D printer that can spew out multiple materials
by David PescovitzIt's historically been tough and slow-going to 3D print objects made from multiple materials. Now, Harvard researchers developed an ingenious nozzle that enables the 3D printer to spew out eight different materials at the resolution of a human hair. To demonstrate the system, they printed fantastic flexible origami structures and even a "soft" robotic millipede from a variety of epoxy and silicone elastomer inks. Mark A. Skylar-Scott, Jochen Mueller, and their colleagues from Harvard's Wyss Institute for Biologically Inspired Engineering presented their work in the scientific journal Nature: "Voxelated soft matter via multimaterial multinozzle 3D printing"


Greetings hungry traveler!
You've stumbled across the site for Pat's Salmon Cookies restaurant chain!
Each one of our cookies is painstakingly made into the shape of a salmon (with salmon no less!). Don't fret about the flavor though. The salmon meat is ground up so fine you'll taste nothing but sweetness. It's ideal for a mugger or clear day, so come on down! Our hours are from 6AM to 8PM at all of our locations!
Locations
- First and Pike
- SeaTac Airport
- Seattle Center
- Capitol Hill
- Alki


|
Bomberman
1.0
|
Header file of the Map class. More...
#include "core/player.h"
#include "core/utils.h"
#include "core/bomb.h"
#include "network/network.h"
Go to the source code of this file.
Data Structures | |
| struct | object_t |
| structure representing a map object. More... | |
| struct | TMap |
| An class representing a Bomberman Map. More... | |
Typedefs | |
| typedef struct minion_t | minion_t |
| typedef enum object_type_t | object_type_t |
| Constants of the static blocks on the map. More... | |
| typedef struct object_t | object_t |
| structure representing a map object. More... | |
| typedef struct TMap | TMap |
| An class representing a Bomberman Map. More... | |
Enumerations | |
| enum | object_type_t { NOTHING, WALL, BREAKABLE_WALL, BONUS_RANGE, MALUS_RANGE, BONUS_CAPACITY, MALUS_CAPACITY, BONUS_SPEED, MALUS_SPEED } |
| Constants of the static blocks on the map. More... | |
Functions | |
| TMap * | New_TMap (unsigned int max_clients) |
| The constructor for create a TMap object. More... | |
| void | TMap_Generate (TMap *this) |
| Method for generate a random map. More... | |
| unsigned int | TMap_Move_Player (TMap *this, unsigned int player_id, direction_t direction) |
| Method for moving a player on the map with a given direction. More... | |
| bomb_status_t | TMap_Place_Bomb (TMap *this, unsigned int player_id, bomb_reason_t *reason) |
| Method for drop a bomb at the player position. More... | |
| void | TMap_Explose_Bomb (TMap *this, bomb_t *bomb, TServer *server) |
| Method for explode a specific bomb. More... | |
| void | TMap_New_Free (TMap *this) |
| Method to free all ressources take by the map. More... | |
Header file of the Map class.
This class allows you to create new Bomberman Map and manipulate it.
structure representing a map object.
object_t is an structure representing a map object.
| typedef enum object_type_t object_type_t |
Constants of the static blocks on the map.
object_type_t is a series of predefined constants for the different static blocks on the map.
An class representing a Bomberman Map.
TMap is a class for creating and managing a Bomberman Map.
| enum object_type_t |
Constants of the static blocks on the map.
object_type_t is a series of predefined constants for the different static blocks on the map.
| TMap* New_TMap | ( | unsigned int | max_clients | ) |
The constructor for create a TMap object.
| max_clients | The maximum number of players that can be on the map. |
Method for explode a specific bomb.
| this | A pointer to the map object. |
| bomb | The bomb that need to explode. |
| server | The network server in order to send additional packets if necessary. |
You do not have to call this method directly. You must use the Explose_Bomb method of the TMap structure like this: my_map->Explose_Bomb(my_map, my_bomb, my_server);
| void TMap_Generate | ( | TMap * | this | ) |
Method for generate a random map.
| this | A pointer to the map object. |
You do not have to call this method directly. You must use the Generate method of the TMap structure like this: my_map->Generate(my_map);
| unsigned int TMap_Move_Player | ( | TMap * | this, |
| unsigned int | player_id, | ||
| direction_t | direction | ||
| ) |
Method for moving a player on the map with a given direction.
| this | A pointer to the map object. |
| player_id | The ID of the player to move. |
| direction | The direction where the player want to go. |
You do not have to call this method directly. You must use the Move_Player method of the TMap structure like this: my_map->Move_Player(my_map, 0, NORTH);
| void TMap_New_Free | ( | TMap * | this | ) |
Method to free all ressources take by the map.
| this | A pointer to the map object to free. |
You do not have to call this method directly. You must use the Free method of the TMap structure like this: my_map->Free(my_map);
| bomb_status_t TMap_Place_Bomb | ( | TMap * | this, |
| unsigned int | player_id, | ||
| bomb_reason_t * | reason | ||
| ) |
Method for drop a bomb at the player position.
| this | A pointer to the map object. |
| player_id | The ID of the player who want to drop a bomb. |
| reason | The reason given if the drop fail. |
You do not have to call this method directly. You must use the Place_Bomb method of the TMap structure like this: my_map->Place_Bomb(my_map, 0, &my_reason);


Before Change
X_mask = X.data <= self.eps
masked_indices = X.indices.astype(np.intp, copy=False)[X_mask]
masked_indptr = np.concatenate(([0], np.cumsum(X_mask)))
masked_indptr = masked_indptr[X.indptr[1:-1]]
// split into rows
neighborhoods[:] = np.split(masked_indices, masked_indptr)
else:
neighbors_model = NearestNeighbors(
radius=self.eps, algorithm=self.algorithm,
leaf_size=self.leaf_size, metric=self.metric,
After Change
// Calculate neighborhood for all samples. This leaves the original
// point in, which needs to be considered later (i.e. point i is in the
// neighborhood of point i. While True, its useless information)
if self.metric == "precomputed" and sparse.issparse(X):
// set the diagonal to explicit values, as a point is its own
// neighbor
with warnings.catch_warnings():
warnings.simplefilter("ignore", sparse.SparseEfficiencyWarning)
X.setdiag(X.diagonal()) // XXX: modifies X"s internals in-place
neighbors_model = NearestNeighbors(
radius=self.eps, algorithm=self.algorithm,
leaf_size=self.leaf_size, metric=self.metric,
metric_params=self.metric_params, p=self.p, n_jobs=self.n_jobs)


Scheduling overview
The scheduler is used to start Sense reloads at specific times, or at certain intervals.
The rationale for having a scheduler in Butler is mainly that Qlik Sense’s built-in scheduler doesn’t quite have the desired flexibiluty. The Sense scheduler on the other hand offer some features not included in the Butler scheduler, so they complelent each other nicely.
Put differently: Butler’s scheduler is great for kicking off the first step if reload chains (or single app reloads), while the QMC scheduler is needed to link the individual parts of reload chains together.
| Feature | Qlik Sense scheduler | Butler scheduler |
|---|---|---|
| Tasks should run same time each day. | Yes | Yes |
| Tasks should run only some days of the month/wek (ex 1st day of the month or on Wednesdays and Fridays). | Yes | Yes |
| Tasks should run only between certain hours during the day (e.g. every 5 minutes during the first 30 minutes of each hour, between 08.00 and 18.00). | Yes, with lots of manual work | Yes |
| Tasks can be chained together, with one task starting when the previous has finished. | Yes | - |
| Task definitions can be stored in Git and managed by a DevOps workflow. | Yes, with lots of work. | Yes, out of the box |
Schedules
The Butler scheduler handles zero or more schedules, where a schedule is simply a set of information about which Sense reload task should be started when.
While Butler is running it keeps the schedules in memory, but they are also stored on disk in the file specified in the Butler’s main config file. This means you can either manage the schedule file manually, or via the Butler APIs.
The following information is kept about each schdule. Note that some fields are optional and only set when managing schedules via API calls.
| Field name | Descriptions | Example |
|---|---|---|
| name | Descriptive name for the schedule. | Every 2 hours |
| cronSchedule | Cron string. 5 or 6 postitions allowed. If 5 positions used a 0 will be used for seconds. crontab.guru and similar sites are useful for creating the cron string. |
0 */2 * * * |
| timezone | Timezone in which the schedule will execute. List of available timezones here. | Europe/London |
| qlikSenseTaskId | Qlik Sense task that will be started. The task ID can be found in the task view in the QMC. | 0fe447a9-ba1f-44a9-ac23-68c3a1d88d8b |
| startupState | Controls whether this task should be started or left stopped when Butler starts up. If set to “start” or “started”, the schedule will be started upon creation. Otherwise it will remain in stopped state. |
started |
| tags | Array of tags, can be used to categorise schedules. Optional. | [ finace ETL, abc 123 ] |
| id | Schedule ID. Free text string, can be set to anything as long as it is unique. Schedules created via the REST API will have a GUID as id. | 2f7a6c38-46df-416d-83de-44bdea5cedaa |
| created | Timestamp the schedule was created. Optional when manually adding schedules to schedule file. | 2020-09-29T17:14:35.154Z |
| lastKnownState | The schedule’s last known state. Optional when manually adding schedules to schedule file. | started |
Sample schedule file
A schedule file could look like this:
butlerSchedule:
- name: Every 30 sec
cronSchedule: "*/30 * * * * *"
timezone: Europe/Stockholm
qlikSenseTaskId: 0fe447a9-ba1f-44a9-ac23-68c3a1d88d8b
startupState: started
tags:
- tag 2
- abc 123 åäö
id: c7ec214c-e9ca-40b2-acb4-54648f90dd73
created: '2020-09-29T14:29:12.283Z'
lastKnownState: started
- name: Every 2 hours
cronSchedule: "0 */2 * * *"
timezone: Europe/London
qlikSenseTaskId: 0fe447a9-ba1f-44a9-ac23-68c3a1d88d8b
startupState: started
tags:
- sales ETL
id: 2f7a6c38-46df-416d-83de-44bdea5cedaa
created: '2020-09-29T17:14:35.154Z'
lastKnownState: started
- name: 00 and 30 minutes past every hour from 06 to 18 on Mon-Fri
cronSchedule: "0,30 6-18 * * 1-5"
timezone: Europe/Paris
qlikSenseTaskId: 0fe447a9-ba1f-44a9-ac23-68c3a1d88d8b
startupState: started
tags:
- finance ETL
- weekdays
id: Manually-added-schedule-1
A few things to note:
- Schedule 1
- Uses 6 positions in the cron string. The leftmost position is seconds.
- This schedule cannot be created in the QMC scheduler, as minutes is the smallest increment there. On the other hand, it’s questionable if Sense jobs should run more often than once per minute…
- Schedule 2
- Uses 5 positions in the cron string. The leftmost position is minutes. The seconds position is implicitly set to 0, which means the schedule will fire at the top of each minute.
- This schedule can be created in the QMC scheduler.
- Schedule 3
- This schedule cannot be created in the QMC scheduler.
Manual vs API created schedules
Schedules are stored in a YAML file on disk. This file is loaded each time Butler is started.
When a new schedule is created using the APIs, all schedule definitions and their current state is written to the schedule YAML file. Thus, if Butler is stopped or restarted, it will also restart all schedules in the same state they were in before the Butler stop/restart.
There are a couple of differences between manually created schedules (i.e. ones that are added directly to the YAML file) and schedules created via the APIs:
- The
created
field in a schedule is optional. It is set when a schedule is created using the APIs. You can set it when manually editing the schedule file, if so desired - but it’s not required. - The
lastKnownState
field is overwritten each time the schedules are saved to disk. This means that you can change this field manually for a schedule in the schedule file on disk, but if you then change the schedule’s state (start or stop it), that will trigger a saving of the schedules to disk, and your previous (manual) change will be overwritten.


R% - G% - Diagram
This program plots the degree of preferred orientation versus the cylindricity of a distribution of orientation data.
The data input from a file is the same as in all other programs. the extension of a data file is‚.RGD‘.


Neon is an open-source framework used to develop custom data analysis applications. It is designed to help integrate your visualizations with your data. The Neon framework can incorporate a variety of data analysis and visualization widgets in a common webtop environment to allow analysts to explore complex data sets.
View on GitHubAllows users to send a query to No-SQL databases using a SQL-like language. Neon does the heavy-lifting by converting the query to a format understood by the target database. For developers using Neon, this removes the need to create database-specific constructs. This API allows database queries to be specified through a JavaScript library or a RESTful endpoint.
Provides a method for inter-widget communication between disparate widgets. Using this API, widgets can coordinate actions and visualizations based on user actions. Developers can orchestrate complex, interactive visualizations using components that are completely decoupled from each other.
© Next Century Corporation 2015


Kubernetes will help us drive down hosting costs, decrease maintenance time, and allow us to be cloud agnostic. Sounds like a sales pitch, doesn’t it? Well, it’s true.
Let’s start with some definitions.
- Kubernetes - Clustering software based on internal software at Google. Developed by Google, with a plethora of partners.
- Cloud Agnostic - Running in such a way as to not be dependent on a single cloud provider. Kubernetes has managed implementations from Digital Ocean, Amazon Web Services, and Microsoft Azure, to name a few.
- Pod - A unit of work in Kubernetes. This is usually a single Container, but sometimes may be multiple containers required for a task.
Why Now?
Our hand was somewhat forced with Kubernetes. Previously our systems had been using Fleet for our clustering tech, but it was deprecated several years ago. With pending updates from AWS, and Fleet’s deprecation status, we were forced to make a move.
Why Kubernetes?
First off, Kubernetes provides an experience similar to managed solutions such as Amazon Elastic Beanstalk, or Heroku. Application are build in a container (we use Docker containers), while configuration is stored in YAML files, and uploaded to Kubernetes for deployment. Through the configuration, you tell Kubernetes what state your application should be in (resources, replicas, load balancers, storage, etc), and Kubernetes takes steps to make that state happen.
In addition, deployments then can then easily be managed by CI/CD software such as Jenkins, Travis, or Gitlab (our choice) using Kubernetes’ baked in tools. Once Gitlab and Kubernetes were wired together, deployments are as simple as pushing to master
on Gitlab.
Kubernetes’ ingress controllers (I chose NGINX) also allow for many services to be hosted off a single load balancer. In addition, the ingress controller is also attached to a cert-manager instance, which automagically obtains SSL certificates from Let’s Encrypt. No more managing certs, or worrying about expiration.
How is this better?
First and foremost, Kubernetes manages state, while Fleet only managed services. This means that if a server is removed from the cluster, Kubernetes will automagically move pods from the removed server to a healthy server, keeping the application running. If a server is added to the cluster, Kubernetes will begin using it.
In addition to managing the state of each application, Kubernetes also manages the state of the cluster itself. To that end, services like Datadog can be configured as cluster-level-state. If you configure Datadog to manage logs for the cluster, then each server will automagically receive a copy of the pods required for Datadog.
Unlike similar offerings (Heroku, Elastic Beanstalk, Google App Engine), Kubernetes is cloud agnostic, so we could theoretically move our infrastructure from AWS to Azure, Digital Ocean, or even back to on-premises hosting, with the same settings we’re currently using in AWS.
Another important feature: Density. With Fleet, each of our servers were dedicated to a single application. Fleet allowed for co-locating some containers (cache server on the same machine as the application server), but for the most part the servers were single use only. This meant having ~45 individual machines across our infrastructure. With Kubernetes, I have been able to move all of these services to ~7 virtual machines, comprised of two Kubernetes clusters (one for Staging, one for Production), and database servers (RDS instances managed by AWS). I am expecting ~60% savings in our cloud spending.
Conclusion
Kubernetes is a wonderful solution for small teams managing their own DevOps, or larger teams where velocity and density are important.  I highly suggest it.


Source code for typelike.core.core
"""
typelike.py
written in Python3
author: C. Lockhart<EMAIL_ADDRESS>"""
import numpy as np
import pandas as pd
# A list of types
dtypes = {
'int': int,
'float': float,
'str': str,
'list': list,
'tuple': tuple,
'set': set,
'dict': dict,
'numpy': np.ndarray,
'series': pd.Series,
'dataframe': pd.DataFrame
}
class _Undefined:
def __init__(self):
pass
Undefined = _Undefined()
[docs]def typelike(anything):
"""
Get the type of anything
Applies some logic to parse anything
Parameters
----------
anything : Anything
Returns
-------
object
Type of `anything`
"""
# By default, set the type to the type of anything
dtype = type(anything)
# If anything is a string, try to parse
if isinstance(anything, str):
dtype = dtypes.get(anything.lower(), dtype)
# Return
return dtype


Lesson Plan Title: How to Perform a SQLInjection
Concept / Topic To Teach:
SQL injection attacks represent a serious threat to any database-driven
site. The methods behind an attack are easy to learn and the damage
caused can range from considerable to complete system compromise.
Despite these risks, an incredible number of systems on the internet are
susceptible to this form of attack.

It is always good practice to sanitize all input data, especially data that will used in OS command, scripts, and database queiries, even if the threat of SQL injection has been prevented in some other manner.
General Goal(s):
For this exercise, you will perform SQLInjection attacks. You will also
implement code changes in the web application to defeat these attacks.
Solution:
Choose Larry to log in with password larry. Select yourself from the list
and make sure that WebScarab will intercept the next request. Replace the id 101 with following:
101 OR 1=1 ORDER BY salary desc
With '101 OR 1=1' we have a SQL Statement which is always true. It will get all the employees from the db but only return one of them. That is why we have to ensure we get the "Big Fish" which is the employee earning most. With 'ORDER BY SALARY DESC' we guarantee exactly this.


Please add a link
Boost your brand recognition with each click. Generic link don't mean a thing. Branded links help instil confidence in your content.
Gain insights into who is clicking your links. Knowing when and where people engage with your content helps inform better decisions.
Improve brand awareness and content discoverability through customizable links, supercharging audience engagement.


Kif, I have mated with a woman. Inform the men. This is the worst kind of discrimination: the kind against me! Um, is this the boring, peaceful kind of taking to the streets?


This example demonstrates how it is possible to define a custom template for a grid view. All you need is to save your template as .tpl file and point PHP Generator to use it.


With rollover <a>, and sharing functionallity using JS
Other styling alternatives
Static version using <i> tag


{include file="layout/head" /}
新手解答
{foreach $list as $list}
{$list->title}
{:htmlspecialchars_decode($list->content)}
{/foreach}
{include file="layout/footer" /}


We investigate selective visual attention. What is the role of visual selective attention in face recognition? Is word recognition an automatic process? To answer these questions, we have conducted series of experiments which provided the following findings.
1) The Stroop dilution effect occurred when a color word was presented as a distracter but not when it was presented as a color carrier.
2) The magnitude of the Stroop effect decreased as display duration decreased.
3) A larger Stroop effect was obtained when the color word was presented at the attended location than when it was presented at an unattended location. The role of visual selective attention in various tasks is now being further examined.
Publications
Impaired cognitive control during reward pursuit and punishment avoidance
Choi and Cho. 2020. Motivation and Emotion.
The effects of induced and trait anxiety on the sequential modulation of emotional conflict
Jeong and Cho. 2020. Psychological Research.
Attentional orienting by non-informative cue is shaped via reinforcement learning
Cho and Cho. 2020. Frontiers in Psychology.
Cognitive control under high threat_The effect of shock on the congruency sequence effect
Jeong and Cho. 2019. Motivation and Emotion.
Memory facilitation for emotional faces_Visual working memory trade-offs resulting from attentional preference for emotional facial expressions
Lee and Cho. 2019. Memory & Cognition.
Uncertainty as a determinant of attentional control settings
Kim, Park and Cho. 2019. Attention, Perception, & Psychophysics.
Multiple attentional control settings on distinct locations without the confounding of repetition priming
Cho and Cho. 2018. Attention, Perception, & Psychophysics.
The cognitive loci of the display and task-relevant set size effects on distractor interference_Evidence from a dual-task paradigm
Park, Kim and Cho. 2018. Attention, Perception, & Psychophysics.
Prolonged interruption of cognitive control of conflict processing over human faces by task-irrelevant emotion expression
Kim et al. 2017. Frontiers in Psychology.
Memory-based attentional capture by colour and shape contents in visual working memory
Kim and Cho. 2016. Visual Congnition.
The modulating effect of emotional valence on the speed of involuntary attentional capture
Kim and Cho. 2016. The Korean J of Cog and Bio Psy.
Attention and memory bias to facial emotions underlying negative symptoms of schizophrenia
Jang et al. 2016. Cognitive Neuropsychiatry.
Control processes through the suppression of the automatic response activation triggered by task-irrelevant information in the Simon-type tasks
Kim, Lee and Cho. 2015. Acta psychologica.
Adjustment to subtle time constraints and power law learning in rapid serial visual presentation
Shin, Chang and Cho. 2015. Frontiers in Psychology.
Effect of abrupt onsets attentional capture by the color word in the Stroop task
Park and Cho. 2015. The Korean J of Cog and Bio Psy.
Attentional capture as an alternative view of perceptual load theory and early-visual crosstalk account
Suh and Cho. 2015. The Korean J of Cog and Bio Psy.
Congruency sequence effect without feature integration and contingency learning
Kim and Cho. 2014. Acta psychologica.
The Effect of the Chance of a Distractor Capturing Attention on Distractor Interference
Suh and Cho. 2013. The Korean J of Cog and Bio Psy.
Congruency sequence effect in cross-task context_Evidence for dimension-specific modulation
Lee and Cho. 2013. Acta psychologica.
Likelihood of attending to the color word modulates Stroop interference
Cho, Choi and Proctor. 2012. Attention, Perception, & Psychophysics.
Impaired color word processing at an unattended location_Evidence from the Stroop task combined with inhibition of return
Choi, Cho and Proctor. 2009. Memory & Cognition.
Influence of color word availability on the Stroop color-naming effect
Kim, Cho and Proctor. 2008. Perception & Psychophysics.
Computational Models of Visual Masking
Francis and Cho. 2006. The First Half Second (MIT press).
Stroop dilution depends on the nature of the color carrier but not its location
Cho, Lien and Proctor. 2006. J of Exp Psy Human Perception and Performance.


Sensor Gestures C++ Overview
Using QtSensorGestures
With the Sensor Gestures classes, you are able to easily utilize device gesturing using sensors, such as the accelerometer and proximity.
A list of currently supported sensor gestures and their descriptions can be found here: Qt Sensor Gestures
Using QtSensorGestures
is easy. There are two main classes you will need to use:
- QSensorGestureManager: can be used for determining which sensor gestures are available.
- QSensorGesture : for connecting the sensor gesture signals.
// Create a QSensorGestureManager QSensorGestureManager gestureManager; // Get a list of known recognizers QStringList recognizersList = gestureManager.gestureIds(); // Create a QSensorGeture object for each of those gesture recognizers QSensorGesture *gesture = new QSensorGesture( gestureManager.gestureIds(), this); // Connect the known signals up. connect(gesture, SIGNAL(detected(QString)), this, SLOT(gestureDetected(QString)));
More information about the sensor gesture recognizers can be found in QtSensorGestures Plugins.
Main Classes
The primary classes that make up the QtSensorGestures API:
Represents one or more sensor gesture recognizers | |
Manages sensor gestures, registers and creates sensor gesture plugins |
The primary classes that make up the QtSensorGesturesRecognizers
API:
The pure virtual interface to sensor gesture plugins | |
The base class for a sensor gesture recognizer |
Details of the QSensorGesturePlugins
available


FAQ¶
What types of products can be sold using Kiosk?¶
Right now, only products that support instant delivery and anonymous buyers and sellers, which includes Ethereum-based assets (tokens, ENS domains, etc.) and other digital goods. This keeps the order logic very basic and removes the need to handle shipping information while Kiosk is still in development.
Why does Kiosk need its own token? Why can’t buyers use Ether (ETH)?¶
Kiosk Market Token enforces that markets function a certain way. It also ensures that all transactions using the Kiosk protocol rely on a single DIN Registry and Order Tracker.
In the future, Kiosk Market Token will allow holders to participate in decentralized governance to upgrade the Kiosk Market Token, DIN Registry, and Order Tracker contracts.


{{function}}
RdT Flights
Main
Landing
takeoffs
Something else here
ID
Airline Id
Original Country
Dest Country
Landing Time
DAVID
BAL
SDF
GAG
234
DAVID
BAL
SDF
GAG
234
DAVID
BAL
SDF
GAG
234


--- layout: post title: More Tips For Parents of Primary Grade Writers date: 2010-09-16 14:50:26.000000000 -07:00 type: post parent_id: '0' published: true pd: '' status: publish categories: - Classroom Talk - writing tags: - creative writing - how writers get ideas - teaching writing - writing in the primary grades author: login: k email: k@k display_name: mcary first_name: '' last_name: '' ---
When my first grade class first comes into my room in the morning, a mob of quivering little people surround me in breathless anticipation, jostling for position in order to be the first to relay a nonstop staccato rendition of all the details of their lives, and all the news about everyone else that they know, all of which occurred since they left school the day before. However, when I ask the same students to write a story more often than not they respond, "I dunno what to write about." My fellow teachers and I will work on this over the school year, but we can always use help from home. How can you help?
The simple answer is to have them write and practice at home. Children as young as kindergarten are expected to write in school, so its never too early to start. In another post on my website I’ve written about how to facilitate writing at home for the very young, and gave tips on techniques, materials and tools to utilize. You should reference that article if you haven’t read it, and these more "advanced" tips.
1) Just as the "oral reports" they barrage me with are a retelling of what they know, most primary children can best write about true life experiences. So have them write about what they know.
2) Talk about subjects on the way to school or during dinner to bring out possible story ideas that they can share through writing.
3) Remind them that books have a beginning , middle and end, and so do good stories.
4) To make a story flow, help them learn and/or utilize some basic transition words (first, next, last, then, etc.) as they write.
5) Encourage them to use simple describing words to make their story richer.
6) They should be encouraged to write their feelings and emotions about the subject.
7) Get a children’s dictionary and help them use it so that stories can be read more easily by others.
8) They should reread what they have written to see if it makes sense.
9) Keep a writer’s notebook to carry back and forth to school with story ideas in it.
10) Be patient and give praise and encouragement, not criticism. Raise them to believe that they are a writer with stories worth telling, and that is what they will become.


| Group | Percent | Total |
|---|---|---|
| Results found | 99.18% | 302549 |
| Browser names | 96.14% | 293286 |
| Engine name | Not available with this provider | |
| Operating systems | 93.44% | 285044 |
| Device brands | 62.36% | 190220 |
| Device models | 82.03% | 250247 |
| Device types | Not available with this provider | |
| Is mobile | Not available with this provider | |
| Is bot | 99.18% | 302549 |
| Bot names | 0.91% | 2775 |
| Bot types | Not available with this provider |


dropdown
Dropdown
Action
Another action
Something else here
Separated link
Dropup
Action
Another action
Something else here
Separated link
Dropdown
Action
Dropdown header
Another action
Something else here
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Dropdown trigger on a
Action
Another action
Something else here
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Dropdown trigger on div
Action
Another action
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Dropdown trigger outside dropdown div
Action
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test4js
Action
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toggle1 on button
toggle2 on dropdown element
toggle3 on dropdown element
toggle4 on dropdown element
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Vigour.io
get products
buy episode
orientation
lanscape
portrait
lock true
lock false
env
log
log
login
logout
share
webview
link


Repair Options
We offer many repair options for our customers who have suffered tooth damage. Each option has different costs and longevity. Read through these options and then consult with out staff about the best option for you.
Bridges
A bridge is used when one or more teeth have been lost. To repair and replace the gap with a tooth (pontic), first an impression is taken so that crowns can be made of the two teeth on both sides of the missing tooth. Then those teeth on either side of the gap are prepped for crowns. The two crowns support the pontic. A temporary bridge is made and placed until the permanent bridge is ready and cemented into place.
Advantages:
- look, feel and function like natural teeth.
- don’t require removal for cleaning.
- cost less that implants.
Disadvantages:
- likely to be more expensive than a removable partial denture.
- affect the teeth next to the missing tooth.
- may require extra effort to clean under the pontic.
Partial Dentures
A removable partial denture can easily be taken out of the mouth for cleaning. Partial dentures usually have replacement teeth fixed to a plastic base that matches the color of your gums. The plastic base may cover a metal framework. Partial dentures often have some form of clasp that attaches to your natural teeth.
Advantages:
- usually less expensive than fixed bridges or implants.
- usually easier to repair than fixed bridges.
Disadvantages:
- can be less stable than other choices.
- they can break or be lost.
- can be uncomfortable.
- some people are embarrassed to take out their teeth at night and for cleaning.
- may need more frequent replacement than other options.
Replacement
When missing one or more teeth, you are very aware of their importance to your appearance and health in general. Teeth are designed to work together to help you chew, speak and smile.  Fortunately, missing teeth can be replaced with implants, crowns, bridges and partials.
Advantages:
- usually less expensive
- take less time to correct
Disadvantages:
- don't usually last as long.
- they can break or be lost.
- can be uncomfortable.
Implants
Implants can replace a single tooth, several teeth, or support a full set of dentures. Implants are posts that are surgically placed in the upper or lower jaw, where they function as a sturdy anchor for replacement teeth. Generally there are three phases of implant treatment. This takes from 4 to 6 months depending on healing time.
Advantages:
- An implant is most similar to a natural tooth.
- Nearby teeth do not have to be involved in the placement procedure.
- Implants may last for many years, even decades.
- Some types of implants and artificial teeth or dentures can be placed in just one or two visits.
- Implants may help prevent shrinkage of the jawbone from tooth loss.
Disadvantages:
- Implants are not right for everyone since they require surgery.
- Implant placement may take longer and may require more dental visits than other options.
- Implants may cost more than other treatments.


Team Lead
Contact Me
Back-End/Database Lead
Front-End Lead
Git Master
Database Lead
Backend Engineer/Server Admin


A class representing [link:http://en.wikipedia.org/wiki/Euler_angles Euler Angles].
Euler angles describe a rotational transformation by rotating an object on
its various axes in specified amounts per axis, and a specified axis
order.
Iterating through a [name] instance will yield its components (x, y, z, order) in the corresponding order.
const a = new THREE.Euler( 0, 1, 1.57, 'XYZ' );
const b = new THREE.Vector3( 1, 0, 1 );
b.applyEuler(a);
[page:Float x] - (optional) the angle of the x axis in radians. Default is
`0`.
[page:Float y] - (optional) the angle of the y axis in radians. Default is
`0`.
[page:Float z] - (optional) the angle of the z axis in radians. Default is
`0`.
[page:String order] - (optional) a string representing the order that the
rotations are applied, defaults to 'XYZ' (must be upper case).
Read-only flag to check if a given object is of type [name].
The order in which to apply rotations. Default is 'XYZ', which means that
the object will first be rotated around its X axis, then its Y axis and
finally its Z axis. Other possibilities are: 'YZX', 'ZXY', 'XZY', 'YXZ'
and 'ZYX'. These must be in upper case.
Three.js uses `intrinsic` Tait-Bryan angles. This means that rotations are
performed with respect to the `local` coordinate system. That is, for
order 'XYZ', the rotation is first around the local-X axis (which is the
same as the world-X axis), then around local-Y (which may now be different
from the world Y-axis), then local-Z (which may be different from the
world Z-axis).
The current value of the x component.
The current value of the y component.
The current value of the z component.
Copies value of [page:Euler euler] to this euler.
Returns a new Euler with the same parameters as this one.
Checks for strict equality of this euler and [page:Euler euler].
[page:Array array] of length 3 or 4. The optional 4th argument corresponds
to the [page:.order order].
Assigns this euler's [page:.x x] angle to `array[0]`.
Assigns this euler's [page:.y y] angle to `array[1]`.
Assigns this euler's [page:.z z] angle to `array[2]`.
Optionally assigns this euler's [page:.order order] to `array[3]`.
Resets the euler angle with a new order by creating a quaternion from this
euler angle and then setting this euler angle with the quaternion and the
new order.
*Warning*: this discards revolution information.
[page:.x x] - the angle of the x axis in radians.
[page:.y y] - the angle of the y axis in radians.
[page:.z z] - the angle of the z axis in radians.
[page:.order order] - (optional) a string representing the order that the
rotations are applied.
Sets the angles of this euler transform and optionally the [page:.order order].
[page:Matrix4 m] - a [page:Matrix4] of which the upper 3x3 of matrix is a
pure [link:https://en.wikipedia.org/wiki/Rotation_matrix rotation matrix]
(i.e. unscaled).
[page:.order order] - (optional) a string representing the order that the
rotations are applied.
Sets the angles of this euler transform from a pure rotation matrix based
on the orientation specified by order.
[page:Quaternion q] - a normalized quaternion.
[page:.order order] - (optional) a string representing the order that the
rotations are applied.
Sets the angles of this euler transform from a normalized quaternion based
on the orientation specified by [page:.order order].
[page:Vector3 vector] - [page:Vector3].
[page:.order order] - (optional) a string representing the order that the
rotations are applied.
Set the [page:.x x], [page:.y y] and [page:.z z], and optionally update
the [page:.order order].
[page:Array array] - (optional) array to store the euler in.
[page:Integer offset] (optional) offset in the array.
Returns an array of the form [[page:.x x], [page:.y y], [page:.z z],
[page:.order order ]].
[link:https://github.com/mrdoob/three.js/blob/master/src/[path].js src/[path].js]


[gecode-users] If then type constraints
Christian Schulte
cschulte at kth.se
Thu Mar 6 06:15:01 CET 2008
Use reification, that's clumsy but works. So, with minimodeling support it
should be something like (~ reifies a linear relation, && is conjunction,
imp is implication, and tt means that the statement must be true):
post(home, tt(imp(~(v1 == 2),~(v2 != 1) && ~(v3 != 3)));
or directly:
BoolVar b1(home,0,1), b2(home,0,1), b3(home,0,1), b23(home,0,1);
rel(home, v1, IRT_EQ, 2, b1);
rel(home, v2, IRT_NQ, 1, b2);
rel(home, v3, IRT_NQ, 3, b3);
rel(home, b2, BOT_AND, b3, b23);
rel(home, b1, BOT_IMP, b23, 1);
Or check whether extensional constraints work for you.
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 Debdeep Banerjee
Sent: Thursday, March 06, 2008 3:03 PM
To: users at gecode.org
Cc: users at gecode.org
Subject: [gecode-users] If then type constraints
Hi,
How do I model if-then style constraints ? What I want to do is post
constraints if a variable is assigned a particular value. For example
say I have variable set V { v1, v2, v3} and each of them has the domain
{1,2,3}. what I want to achieve is
if v1== 2 then
v2 !=1 /\ v3 !=3
I know I can do this using a custom propagator, but is there any other way ?
With regards
Debdeep
--
Debdeep Banerjee
PhD Candidate
CSL/RSISE/NICTA
Australian National University
Email: debdeep.banerjee at rsise.anu.edu.au
Web:http://rsise.anu.edu.au/~banerjed
_______________________________________________
Gecode users mailing list
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https://www.gecode.org/mailman/listinfo/gecode-users
More information about the gecode-users
mailing list


A lot of problems can be solved by programming solutions.
Identify ・ Analyze ・ Code
Programming is a big universe by itself but the actual world is full of adventures that require exploration:
Creating websites. Encompasses several different aspects, including webpage layout, content production, and graphic design.
Developing a web site for the Internet (World Wide Web) or an intranet (a private network)... Writing markup and coding.
Mobile app developement for mobile devices, such as personal digital assistants, enterprise digital assistants or mobile phones.
“PSD to HTML” is a workflow. First, a web page is designed in a Photoshop Document (PSD) and then converted to code (using HTML, CSS, and JavaScript).
 Show me the code.”
― Linus Torvalds
Among Other Languages and IDEs ...
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"Hire the Highest."
Based:Nairobi, Kenya
Send E-mail below
Cell:254-705-680839


ecg_analysis module¶
-
ecg_analysis.
bandpass_filter
(voltage, low_cutoff, high_cutoff, fs, order)¶ Applies bandpass butterworth filter to voltage data set
Lower cutoff frequency helps eliminate baseline drift, while the higher cutoff frequency eliminates possible high frequency noise, allowing smoothing out of the signal. References: -en.wikipedia.org/wiki/Pan-Tompkins_algorithm -docs.scipy.org/doc/scipy/reference/generated/scipy.signal.butter.html -docs.scipy.org/doc/scipy/reference/generated/scipy.signal.sosfiltfilt.html -github.com/marianpetruk/ECG_analysis
- Parameters
voltage (float) – complete list of voltages pulled from original file
low_cutoff (float) – lower cutoff frequency for filter
high_cutoff (float) – upper cutoff frequency for filter
fs (float) – sampling frequency of ECG strip
order (int) – order of filter
- Returns
filtered signal
- Return type
ndarray
-
ecg_analysis.
calc_bpm
(peaks, fs)¶ Calculates average HR based on array of peaks found in ECG strip
- Parameters
peaks (ndarray) – array of indices corresponding to location of R peaks
fs (float) – sampling frequency of ECG strip
- Returns
average heart rate in bpm
- Return type
float
-
ecg_analysis.
calc_duration
(time)¶ Calculates the duration of the ECG strip
- Parameters
time (float) – complete list of times pulled from original file
- Returns
duration of ECG strip
- Return type
float
-
ecg_analysis.
calc_extremes
(voltage)¶ Retrieves the minimum and maximum lead voltages from the ECG strip
- Parameters
voltages (float) – complete list of voltages pulled from original file
- Returns
tuple containing min and max lead voltages
- Return type
float
-
ecg_analysis.
check_range
(voltage)¶ Checks to see if the file contains a voltage reading outside +/- 300mV
- Parameters
voltages (float) – complete list of voltages pulled from original file
- Returns
the file contains a voltage outside the normal range
- Return type
boolean
-
ecg_analysis.
create_metrics
(duration, voltage_extremes, num_beats, mean_hr_bpm, beats)¶ Create metrics for an ECG data file
- Parameters
duration (float) – time duration of ECG strip
voltage_extremes (float) – tuple of min and max lead voltages
num_beats (int) – number of detected beats in strip
mean_hr_bpm (float) – average heart rate over length of strip
beats (float) – list of times when a beat occurred
- Returns
metrics
- Return type
dictionary
-
ecg_analysis.
find_beats
(time, peaks)¶ Returns list of times corresponding to beats in the ECG strip
- Parameters
time (float) – complete list of times pulled from original file
peaks (ndarray) – array of indices corresponding to location of R peaks
- Returns
list of times corresponding to beats int: length of beats, i.e. number of beats in ECG strip
- Return type
float
-
ecg_analysis.
import_data
(filename)¶ - Parses through file for time-voltage data points and calls parse_add()
function for further analysis. Calls function to checl if the file contains a voltage outside the normal range.
- Parameters
time (float) – complete list of times pulled from original file
voltages (float) – complete list of voltages pulled from original file
t (string) – time entry currently being analyzed from file
v (string) – voltage entry currently being analyzed from file
- Returns
list of valid time points from file float: list of valid voltage points from file
- Return type
float
-
ecg_analysis.
main
()¶
-
ecg_analysis.
out_name
(filename_input)¶ Retrieves appropriate filename to match json file to original file
- Parameters
filename_input (string) – name of original file (ex. folder/file.csv)
- Returns
filename
- Return type
string
-
ecg_analysis.
output_metrics
(duration, voltage_extremes, num_beats, mean_hr_bpm, beats, filename)¶ Outputs metrics data into respective JSON files
- Parameters
duration (float) – time duration of ECG strip
voltage_extremes (float) – tuple of min and max lead voltages
num_beats (int) – number of detected beats in strip
mean_hr_bpm (float) – average heart rate over length of strip
beats (float) – list of times when a beat occured
- Returns
None
-
ecg_analysis.
parse_add
(t, v, time, voltage)¶ - Analyzes time-voltage data points and stores them in respective lists.
If either value in a time-voltage pair is missing, contains a non-numeric string, or is NaN, this occurrence is logged and the pair is skipped over.
- Parameters
time (float) – complete list of times pulled from original file
voltages (float) – complete list of voltages pulled from original file
t (string) – time entry currently being analyzed from file
v (string) – voltage entry currently being analyzed from file
- Returns
None
-
ecg_analysis.
qrs_detection
(time, voltage, fs)¶ Detects the number and locations of QRS complexes in an ECG strip
Process based on the Pan-Tompkins algorithm: - bandpass filter: minimize baseline wander and noise - differentiation: emphasize R peaks, which have steeper slopes - squaring: further enhance the dominant (R) peaks - integration: smooth out the signal for more accurate peak detection References: - en.wikipedia.org/wiki/Pan-Tompkins_algorithm - biopac.com/knowledge-base/extracting-heart-rate-from-a-noisy-ecg-signal/ - docs.scipy.org/doc/scipy/reference/generated/scipy.signal.find_peaks.html - github.com/marianpetruk/ECG_analysis
- Parameters
time (float) – complete list of times pulled from original file
voltages (float) – complete list of voltages pulled from original file
fs (float) – sampling frequency of ECG strip
- Returns
array of locations (indices) of peaks in signal
- Return type
ndarray
-
ecg_analysis.
sampling_freq
(time)¶ Calculates the average sampling frequency of the ECG strip
- Parameters
time (float) – complete list of times pulled from original file
- Returns
average sampling frequency
- Return type
float


In case you like to run OSM Buildings with real building geometry, you need to set up a server environment with PHP and MySQL or PostGIS.
Notice: one of the next releases will simplify the whole process radically.
As it is very popular for web hosting, I'm going with MySQL. Version 5.0.16 or better has the required spatial extensions enabled. For those who have trouble importing the data into MySQL or running a different server, Diego Guidi did a great job creating a Shapefile.
Next you will need to create your database table using the dump file /server/data/mysql-CREATE_TABLE.sql Then import building data, i.e. from /server/data/mysql-berlin.zip. I.e. upload the file directly in PhpMyAdmin or unpack and import as you like.
Make sure PHP is running and create a /server/config.php file for your settings and database credentials. Or just adapt and rename /server/config.sample.php for your needs.
As PostGIS seems to be much more popular for handling geometry, there is now a data conversion script in using Node.js.
Requirements are a working Node.js installation and the node-postgres module (install the module with npm install pg
).
Then have a look into /server/data/convert.js and change database, table, output settings.
Run the conversion with node convert.js
What the script does:


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These awesome people donate to me on Patreon. If you would like to show up in this list, please donate to me on Patreon. This is refreshed every time the site is deployed.
Thank you so much! Your support helps make my projects possible.
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A simple class for converting a text into HTML.
Methods
Public Instance methods
Converts the given text to HTML, using spans to represent token groups of any type but :normal (which is always unhighlighted). If pre is true, the html is automatically wrapped in pre tags.
[ show source ]
# File lib/syntax/convertors/html.rb, line 12 12: def convert( text, pre=true ) 13: html = "" 14: html << "
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" if pre 35: html 36: end


JURASSIC PARK A film review by John Hagerman Copyright 1993 John Hagerman
Everybody is going to see this movie anyway, and I'm not much of a movie reviewer, so I'm not sure why I'm bothering to review it. But anyway, here goes. The plot is: Dinosaurs are cloned to make a theme park, auditors come to check it out, and they decide it's not a very safe place. By the way, the movie is not a very safe place for kids; you can imagine what hungry, carnivorous dinosaurs do to people.
As you would hope for $100 million, the special effects are superb. I came away feeling that I had some idea what it would be like to stand next to a live dinosaur. However, today's great special effects are tomorrow's run-of-the-mill effects. Since I wasn't impressed with the other aspects of the movie, I think that JURASSIC PARK will go down in movie history merely as another pioneering effort in special effects.
I've read the book and, as usual, it's better. (The only case I can think of where this was not true was BLADE RUNNER, but that's not even really fair since the movie was only loosely based on the book.) The problem with JURASSIC PARK is, as usual, that there are lots of good ideas in the book and too many of them were put into the movie. For example, if I hadn't read the book, I would have come out of the movie wondering just what the heck Jeff Goldblum's character was supposed to be doing, blathering about chaos theory. But that's okay, because only lip service is paid to this thread, and then it's quickly dropped. If you have read the book, you will know that Michael Crichton is pretty good about science. Unfortunately, science takes time, and time can't be spared in the movie, so don't expect to learn anything.
The movie has its gripping moments (how could it not with teeth like that?), but I think the guy next to me who fell asleep would agree: If you took away the special effects you would find a mediocre movie with a predictable script, flat characters, and uninspired acting.
I suggest that you wait until this movie comes out again in the dollar theaters next year after it has won Best Special Effects. Or better yet, just read the book; your imagination will do the effects just as well, and you will find a much better story.
- John<EMAIL_ADDRESS>.
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


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Resize the browser window to see the effect.


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Where possible, all withdrawals will be processed to the payment account from which the deposits were made. Withdrawal payments can only be made in the name of and to the registered account holder.
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