A MATTER OF TASTE (Une affaire de gout) ---------------------------------------
Nicholas Riviere (Jean-Pierre Lorit, "Red," "Alice and Martin") is an unambitious young man working temporarily as a waiter when he runs into Delamont (Bernard Giraudeau, "Water Drops on Burning Rocks," "Ridicule") a wealthy entrepreneur. Delamont challenges Nicholas to identify the ingredients of an amuse bouche, decides he has intelligence in his eyes, and makes him an overgenerous offer for a strange job - to be his personal taster in "A Matter of Taste."
Cowriter (with Gilles Taurand, "Time Regained")/director Bernard Rapp tells his tale in flashbacks from a present day investigation into an unknown crime. While there have been many films which investigate the transference of personality, there have been fewer on the subjugation of it. Rapp's psychological thriller plays like an inverted version of Joseph Losey's "The Servant" as seen through the gorgeous rot of Peter Greenaway's films.
Although Delamont has an aversion to cheese and fish, it soon becomes clear that he wants more from Nicholas than to taste his food. As he seduces Nicholas with access to his monied lifestyle, his demands on the man slowly increase. His offering stipulation that Nicholas quit smoking segues into Nicholas not eating any foods he dislikes, then more, as he tries to recreate Nicholas in his own image. Delamont's displeasure is shown harshly, parentally, building an interdependence between the two that's like, but not actually, a love affair.
Nicholas' girlfriend Beatrice (Florence Thomassin) provides the audience's point of view, watching in horror as Nicholas becomes consumed by the industrialist, trying to figuratively shake some sense into him until she realizes she literally no longer knows this man.
Giraudeau smoothly creates a cinematic monster, a polished devil of refinement but no feeling. Lorit has a more difficult arc to follow, as the film's one failure is its inability to make Nicholas' seduction totally believable, but he makes a fine mirror for Giraudeau.
The film's fine production design by Francois Comtet features many extraordinary gustatory tableaux and the contrasts between Alpine skiing and desert hermitage. Cinematography by Gerard de Battista ("Venus Beauty Institute") is strikingly crisp. Rapp's direction builds a sickly, sinister suspense.
"A Matter of Taste" is a deliciously insidious thriller.
B
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| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Chapter 39. PL/pgSQL - SQL Procedural Language | Next |
PL/pgSQL can be used to define trigger procedures. A trigger procedure is created with the CREATE FUNCTION command, declaring it as a function with no arguments and a return type of trigger. Note that the function must be declared with no arguments even if it expects to receive arguments specified in CREATE TRIGGER — trigger arguments are passed via TG_ARGV, as described below.
When a PL/pgSQL function is called as a trigger, several special variables are created automatically in the top-level block. They are:
Data type RECORD; variable holding the new database row for INSERT/UPDATE operations in row-level triggers. This variable is NULL in statement-level triggers and for DELETE operations.
Data type RECORD; variable holding the old database row for UPDATE/DELETE operations in row-level triggers. This variable is NULL in statement-level triggers and for INSERT operations.
Data type name; variable that contains the name of the trigger actually fired.
Data type text; a string of either BEFORE or AFTER depending on the trigger's definition.
Data type text; a string of either ROW or STATEMENT depending on the trigger's definition.
Data type text; a string of INSERT, UPDATE, DELETE, or TRUNCATE telling for which operation the trigger was fired.
Data type oid; the object ID of the table that caused the trigger invocation.
Data type name; the name of the table that caused the trigger invocation. This is now deprecated, and could disappear in a future release. Use TG_TABLE_NAME instead.
Data type name; the name of the table that caused the trigger invocation.
Data type name; the name of the schema of the table that caused the trigger invocation.
Data type integer; the number of arguments given to the trigger procedure in the CREATE TRIGGER statement.
Data type array of text; the arguments from the CREATE TRIGGER statement. The index counts from 0. Invalid indexes (less than 0 or greater than or equal to tg_nargs) result in a null value.
A trigger function must return either NULL or a record/row value having exactly the structure of the table the trigger was fired for.
Row-level triggers fired BEFORE can return null to signal the trigger manager to skip the rest of the operation for this row (i.e., subsequent triggers are not fired, and the INSERT/UPDATE/DELETE does not occur for this row). If a nonnull value is returned then the operation proceeds with that row value. Returning a row value different from the original value of NEW alters the row that will be inserted or updated. Thus, if the trigger function wants the triggering action to succeed normally without altering the row value, NEW (or a value equal thereto) has to be returned. To alter the row to be stored, it is possible to replace single values directly in NEW and return the modified NEW, or to build a complete new record/row to return. In the case of a before-trigger on DELETE, the returned value has no direct effect, but it has to be nonnull to allow the trigger action to proceed. Note that NEW is null in DELETE triggers, so returning that is usually not sensible. A useful idiom in DELETE triggers might be to return OLD.
The return value of a row-level trigger fired AFTER or a statement-level trigger fired BEFORE or AFTER is always ignored; it might as well be null. However, any of these types of triggers might still abort the entire operation by raising an error.
Example 39-3 shows an example of a trigger procedure in PL/pgSQL.
Example 39-3. A PL/pgSQL Trigger Procedure
This example trigger ensures that any time a row is inserted or updated in the table, the current user name and time are stamped into the row. And it checks that an employee's name is given and that the salary is a positive value.
CREATE TABLE emp ( empname text, salary integer, last_date timestamp, last_user text ); CREATE FUNCTION emp_stamp() RETURNS trigger AS $emp_stamp$ BEGIN -- Check that empname and salary are given IF NEW.empname IS NULL THEN RAISE EXCEPTION 'empname cannot be null'; END IF; IF NEW.salary IS NULL THEN RAISE EXCEPTION '% cannot have null salary', NEW.empname; END IF; -- Who works for us when she must pay for it? IF NEW.salary < 0 THEN RAISE EXCEPTION '% cannot have a negative salary', NEW.empname; END IF; -- Remember who changed the payroll when NEW.last_date := current_timestamp; NEW.last_user := current_user; RETURN NEW; END; $emp_stamp$ LANGUAGE plpgsql; CREATE TRIGGER emp_stamp BEFORE INSERT OR UPDATE ON emp FOR EACH ROW EXECUTE PROCEDURE emp_stamp();
Another way to log changes to a table involves creating a new table that holds a row for each insert, update, or delete that occurs. This approach can be thought of as auditing changes to a table. Example 39-4 shows an example of an audit trigger procedure in PL/pgSQL.
Example 39-4. A PL/pgSQL Trigger Procedure For Auditing
This example trigger ensures that any insert, update or delete of a row in the emp table is recorded (i.e., audited) in the emp_audit table. The current time and user name are stamped into the row, together with the type of operation performed on it.
CREATE TABLE emp ( empname text NOT NULL, salary integer ); CREATE TABLE emp_audit( operation char(1) NOT NULL, stamp timestamp NOT NULL, userid text NOT NULL, empname text NOT NULL, salary integer ); CREATE OR REPLACE FUNCTION process_emp_audit() RETURNS TRIGGER AS $emp_audit$ BEGIN -- -- Create a row in emp_audit to reflect the operation performed on emp, -- make use of the special variable TG_OP to work out the operation. -- IF (TG_OP = 'DELETE') THEN INSERT INTO emp_audit SELECT 'D', now(), user, OLD.*; RETURN OLD; ELSIF (TG_OP = 'UPDATE') THEN INSERT INTO emp_audit SELECT 'U', now(), user, NEW.*; RETURN NEW; ELSIF (TG_OP = 'INSERT') THEN INSERT INTO emp_audit SELECT 'I', now(), user, NEW.*; RETURN NEW; END IF; RETURN NULL; -- result is ignored since this is an AFTER trigger END; $emp_audit$ LANGUAGE plpgsql; CREATE TRIGGER emp_audit AFTER INSERT OR UPDATE OR DELETE ON emp FOR EACH ROW EXECUTE PROCEDURE process_emp_audit();
One use of triggers is to maintain a summary table of another table. The resulting summary can be used in place of the original table for certain queries — often with vastly reduced run times. This technique is commonly used in Data Warehousing, where the tables of measured or observed data (called fact tables) might be extremely large. Example 39-5 shows an example of a trigger procedure in PL/pgSQL that maintains a summary table for a fact table in a data warehouse.
Example 39-5. A PL/pgSQL Trigger Procedure For Maintaining A Summary Table
The schema detailed here is partly based on the Grocery Store example from The Data Warehouse Toolkit by Ralph Kimball.
-- -- Main tables - time dimension and sales fact. -- CREATE TABLE time_dimension ( time_key integer NOT NULL, day_of_week integer NOT NULL, day_of_month integer NOT NULL, month integer NOT NULL, quarter integer NOT NULL, year integer NOT NULL ); CREATE UNIQUE INDEX time_dimension_key ON time_dimension(time_key); CREATE TABLE sales_fact ( time_key integer NOT NULL, product_key integer NOT NULL, store_key integer NOT NULL, amount_sold numeric(12,2) NOT NULL, units_sold integer NOT NULL, amount_cost numeric(12,2) NOT NULL ); CREATE INDEX sales_fact_time ON sales_fact(time_key); -- -- Summary table - sales by time. -- CREATE TABLE sales_summary_bytime ( time_key integer NOT NULL, amount_sold numeric(15,2) NOT NULL, units_sold numeric(12) NOT NULL, amount_cost numeric(15,2) NOT NULL ); CREATE UNIQUE INDEX sales_summary_bytime_key ON sales_summary_bytime(time_key); -- -- Function and trigger to amend summarized column(s) on UPDATE, INSERT, DELETE. -- CREATE OR REPLACE FUNCTION maint_sales_summary_bytime() RETURNS TRIGGER AS $maint_sales_summary_bytime$ DECLARE delta_time_key integer; delta_amount_sold numeric(15,2); delta_units_sold numeric(12); delta_amount_cost numeric(15,2); BEGIN -- Work out the increment/decrement amount(s). IF (TG_OP = 'DELETE') THEN delta_time_key = OLD.time_key; delta_amount_sold = -1 * OLD.amount_sold; delta_units_sold = -1 * OLD.units_sold; delta_amount_cost = -1 * OLD.amount_cost; ELSIF (TG_OP = 'UPDATE') THEN -- forbid updates that change the time_key - -- (probably not too onerous, as DELETE + INSERT is how most -- changes will be made). IF ( OLD.time_key != NEW.time_key) THEN RAISE EXCEPTION 'Update of time_key : % -> % not allowed', OLD.time_key, NEW.time_key; END IF; delta_time_key = OLD.time_key; delta_amount_sold = NEW.amount_sold - OLD.amount_sold; delta_units_sold = NEW.units_sold - OLD.units_sold; delta_amount_cost = NEW.amount_cost - OLD.amount_cost; ELSIF (TG_OP = 'INSERT') THEN delta_time_key = NEW.time_key; delta_amount_sold = NEW.amount_sold; delta_units_sold = NEW.units_sold; delta_amount_cost = NEW.amount_cost; END IF; -- Insert or update the summary row with the new values. <<insert_update>> LOOP UPDATE sales_summary_bytime SET amount_sold = amount_sold + delta_amount_sold, units_sold = units_sold + delta_units_sold, amount_cost = amount_cost + delta_amount_cost WHERE time_key = delta_time_key; EXIT insert_update WHEN found; BEGIN INSERT INTO sales_summary_bytime ( time_key, amount_sold, units_sold, amount_cost) VALUES ( delta_time_key, delta_amount_sold, delta_units_sold, delta_amount_cost ); EXIT insert_update; EXCEPTION WHEN UNIQUE_VIOLATION THEN -- do nothing END; END LOOP insert_update; RETURN NULL; END; $maint_sales_summary_bytime$ LANGUAGE plpgsql; CREATE TRIGGER maint_sales_summary_bytime AFTER INSERT OR UPDATE OR DELETE ON sales_fact FOR EACH ROW EXECUTE PROCEDURE maint_sales_summary_bytime(); INSERT INTO sales_fact VALUES(1,1,1,10,3,15); INSERT INTO sales_fact VALUES(1,2,1,20,5,35); INSERT INTO sales_fact VALUES(2,2,1,40,15,135); INSERT INTO sales_fact VALUES(2,3,1,10,1,13); SELECT * FROM sales_summary_bytime; DELETE FROM sales_fact WHERE product_key = 1; SELECT * FROM sales_summary_bytime; UPDATE sales_fact SET units_sold = units_sold * 2; SELECT * FROM sales_summary_bytime;


System.runFinalizersOnExit()
.
This call is one of the most dangerous in the Java language. It is inherently non-thread-safe, may result in data corruption, a deadlock, and may affect parts of the program far removed from its call point. It is deprecated and was removed in JDK 11, and its use is strongly discouraged.
This inspection only reports if the language level of the project or module is 10 or lower.


Typed Patch
The type-aware object patch utility.
Tl;DR
let patch = Patch.compare(object1, object2);
let object3 = patch.apply(object2)
and object3 should equal object1.
If any of the properties and sub-properties of object1 are themselves classes, and have a static method fromJSON
somewhere in their prototype chain, then this fromJSON
method will be applied to the result of merging properties betweem the appropriate sub-trees in order to create an object of the correct class.
Arrays are merged with an LCS diff algorithm, preserving sort order. ES6 Map objects are merged using an ordered join which may result in a different order of elements in the resulting maps (the result will always be sorted by key).
The utility has more subtle and feature-rich ways of specifying types, and doing things like deciding the type of array elements and specifying how arrays are merged. If interested, read on.
For the latest API documentation see The Software Plumbers Site
Project Status
Alpha. It seems functional, and the unit tests pass. The basic API is settling down.
Why another diff/patch utility?
This one is aware of object types and potential polymorphism in the patch. That is to say, that the object tree that results from applying a patch to an object may contain objects of different classes to those which were in the patch object or indeed to those in the original patched object.
Many other diff/patch utilities also create rather verbose patches; the JSON pointer specification (RFC6901) is admirable but its use as a basis for a patch format is questionable. If each leaf that differs in the tree must be identified by its full path from the root (per JSONP) then in deeply nested object trees the property names nearer the root appear many times in the resulting diff. This diff creates a hierarchical diff format that is concise and reasonably easy to read.
Type Awareness
When merging properties between the patched object and the patch, the resulting property can either be a straight object (in which case, no problem) or an instance of a class. To create an instance of the class, the patch algorithm needs to know what kind of object to create.
Encoding types in the diff format is an option which we have rejected due to the implications of allowing data transmitted over the wire to specify a class name that the data will be converted into.
This problem is closely related to the issue of re-creating object trees from JSON delivered across the wire or from document stores like Mongo. This may be why there are so many diff utilities - they are usually bound to a particular way of doing things.
By default, typed-patch therefore derives type information entirely from the object to be patched. This can be achieved most simply by putting a static method fromJSON
in the base class of any typed property. This method is used to covert untyped properties into an instance of the required object class.
This works in many cases, but not when the patch contains properties that do not exist in the patched object. In this case, we need to implement a getAttrProps static method which takes a name argument and returns an object containing a factory method (elementFactory
) or an object type elementType
suitable for populating the property of that name.
Array and Map properties
In the case of array and map properties, getAttrProps may also return the following metadata:
collectionElementType
the type of elements in the arraycollectionElementFactory
a factor object for creating new array elementssorted
defines if a map can be assumed to be sorted by its key (avoiding a re-sort)map
determines if an array can be treated as a map. If so, the additional properties below are neededkey
a function that can extract a unique ID from the array element (e.g.e=>e.id
)value
a function that can extract a value from the array element (e.g. toe=>e
)entry
a function that can construct a array element from a key/value pair (e.g.(k,v)=>v
)keyComparator
a comparator object for comparing keys, required if key values cannot be compared with >,<,===
Maps are diffed and merged by comparing a sorted lists of key values; the order of maps may not be preserved in the merge operation. Arrays are diffed using an LCS algorithm, unless the 'map' option is true in which case they are diffed as Maps using the values extracted by the key and value functions.


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File loading operations for PMFO.
- Source:
Methods
(static) loadExtInclude(filePath, contentID, templateID, options) → {Object}
Loads an external HTML modal from a specific location into the DOM.
Parameters:
| Name | Type | Description |
|---|---|---|
filePath |
string | Base path of file to be loaded |
contentID |
string | Unique DOM ID for anchoring loaded content |
templateID |
string | DOM ID of template in loaded file |
options |
Object | Data to be applied to the template |
- Source:
Returns:
- Type
- Object
(static) loadExtScreen(rootPath, contentID, pageName) → {Object}
Loads an external screen (JS + HTML) from path into the DOM.
Parameters:
| Name | Type | Description |
|---|---|---|
rootPath |
string | Base name of file to be loaded |
contentID |
string | Unique DOM ID for anchoring loaded content |
pageName |
string | User-friendly name of page to load |
- Source:
Returns:
- Type
- Object
(static) loadExtTemplate(filePath, contentID, templateID, options) → {Object}
Loads an external Kendo Template from a specific location into the DOM.
Parameters:
| Name | Type | Description |
|---|---|---|
filePath |
string | Base path of file to be loaded |
contentID |
string | Unique DOM ID for anchoring loaded content |
templateID |
string | DOM ID of template in loaded file |
options |
Object | Data to be applied to the template |
- Source:
Returns:
- Type
- Object


https://github.com/colbyfayock/html-webpack-partials-plugin
What you'll see is the output. For more info about each example visit the examples directory in the repo.


About us
Hi! We are “Name yet to come”, individuals with a passion for
creativity — creativity makes us happy. We truly believe in the
transformative power of illustration and design and their ability to
simplify communications, elevate experiences, engage and inspire
people everywhere. Good design and good relationships come
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about you, and make something beautiful together.


{% extends 'main/base.html' %} {% block title %} Delete Address - {% endblock title %} {% block content %}
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Many times when you need to troubleshoot an SQL Server issue, you will need to collect metadata about the server, databases, and server resources in general. Here we will briefly review the mechanisms to collect these metadata.
SQL server maintains a set of tables that store information about all the objects, data types, constraints, configuration options, and resources available to SQL Server. These tables are called the system base tables.
You can access these tables names only if you are logged in as a system administrator. You can access through:
Run sp_help
Run
use master;
select name from sys.objects
where type_desc = 'SYSTEM_TABLE';
If you tried to select data from any of these system tables, you will got 208 error indicating that the object name is invalid. The only way to access these data is through dedicated administrator connection (DAC).
Keep in mind that these system base tables are used for internal purposes only within the database engine and are not intended for general use. They are subject to change and compatibility is not guaranteed.
Although it is possible to see data in the system tables in versions of SQL Server before 2005, it wasn’t recommended. For compatibility, SQL server 2005 and 2008 provided a set of compatibility views that allow access to a subset of the SQL server 2000 system tables. These views should be used for backward compatibility only; going forward, you should use catalog views.
SQL Server 2005 introduced a set of catalog views as a general interface to the persisted system metadata. All the catalog views are in the sys schema, and you must reference the schema name when access the objects like:
select name from sys.databases;
For a complete list of catalog views categories, please consult http://msdn.microsoft.com/en-us/library/ms174365.aspx.
The information schema views comply with SQL-92 standard and all of it are in a schema called INFORMATION_SCHEMA. If you need to write a portable application that access the metadata you should use these views. This compliance come with the price of limited provided information (it provide the standard defined information only). If you need metadata about non-standard features, use catalog views.
For a complete list of Information schema views and its closest map to catalog views, please consult http://msdn.microsoft.com/en-us/library/ms186778.aspx
Give us individual property values for many SQL Server instance, objects, databases. The values returned by system functions are scalar, so they can be used as values returned by SELECT statements like:
select DATABASEPROPERTYEX('msdb','Recovery');
For a complete list of system functions and its types, review http://msdn.microsoft.com/en-us/library/ms187786.aspx
System Stored Procedures are the original metadata access tool but it had a drawback, basically you have to accept the data that it returns. Some of the procedures allow parameters but they are very limited. Catalog views are more enhanced and flexible in controlling what data appears.
I hope this brief post gives you an overall image about SQL Server metadata access mechanisms and which one to use according to your situation.


Describes how to install Django CMS on a CentoOS and Fedora Linux VPS.
Difficulty: Value from spreadsheet
Time: Time value
Django CMS is one of the content management systems that is geared towards working with Django framework based web applications, we will walk you through installing Django CMS on a CentOS, Fedora Linux VPS, ready to be configured and used.
Django CMS comes with a relatively straight forward and quite rich documentation for development which will be more than enough to get you going after completing this tutorial. You can access the latest version on the Django web site.
pip is a package manager which will help us to install the software packages (tools, libraries, applications).
A dependency of pip, setuptools library builds on the functionality of Python's standard software distribution utilities toolset distutils.
The virtualenv tool is here to isolate our Django CMS application repository and its complex dependencies from the rest of the system, allowing us to have everything in order, easing maintenance at the same time.
We will be using a freshly created VPS for this article. This prevents any possible software related or security issues from the past installations.
version 2.7
. As this suits our requirements, we can continue with installing pip, which we need for the virtualenv (and other packages') installation.
/usr/local/bin location
. We need to append it to our PATH so that we will be able to run it with calling pip command directly.
pip install package-name
. All the tools we need are ready and we can begin preparing the virtual environment where our Django CMS project is going to reside. Let's start with initiating a venv (virtual environment) called "project_cms" using virtualenv and go to the project's folder.
We chose project_cms
as the project repository's folder name. You can change it as you wish, keep in mind that choosing an unrelated name could cause trouble in the future with maintenance.
Upon creating a virtualenv, you need to activate it in order to use it.
Note: Upon activation, in order to deactivate, simply run the command deactivate when needed.
Run the following to have pillow downloaded and installed:
Note: As we have our venv activated, this will not be a system-wide installation.
The PostgreSQL database adapter which is used by Django is called psycopg2. It needs libpq-dev library installed and we recommend installing it in the beginning:
Since our virtualenv is activated, this will not be a system-wide installation.
For more on psycopg2
, you can visit http://initd.org/psycopg/docs/faq.html.
Please note: These commands ready PostgreSQL for Django but does not give you a fully configured installation. If you choose to work with PostgreSQL and you need further instructions on Django, you may wish to visit the following DigitalOcean tutorial on the exact subject by clicking here. Below we are using an SQLite database. You should also modify that setting to work with your PostgreSQL installation if you decide to use it.
Django CMS comes with a number of other dependencies we yet need to install.Simply run the following to conclude the installations:
We now have everything installed: Django, django-classy-tags, south, html5lib, django-mptt, django-sekizai.
Creating a Django CMS project consists of two parts. First, we will start a regular Django project in our virtual environment and then continue with setting it up to have it working as Django CMS. Let's begin with creating the Django project. We will name it dev_cms , you can choose it to suit your needs.
Simply run the following:
You will see that our project is created. In order to test the installation before continuing with the configuration part, let's run the following to start a simple development server which we can access from the outside:
Visit the URL from your browser, replacing <IP_ADDRESS>
with your server's IP address.
Most of the configurations for Django CMS takes place inside the settings.py
file located inside the project folder.
Open it with your favourite editor. In this tutorial, we will be using vim
.
project_cms$ vim dev_cms/settings.py
Add the following lines to the top of the file under the highlighted sentence in the file:
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
Let's begin with the INSTALLED_APPS section. there is an existing list of modules, append the names of a few more which we've already installed, including the Django CMS module itself.
As stated on the Django CMS documentation:
Add the following apps to your INSTALLED_APPS (under the highlighted portion). This includes django CMS itself as well as its dependenices and other highly recommended applications/libraries:
Please note: Before moving on, make sure to uncomment django.contrib.admin from the list as well. That module is needed for the setup procedure.
Next, let's find MIDDLEWARE_CLASSES
and add the following to the bottom of the list:
Afterwards your MIDDLEWARE_CLASSES should look similar to:
As stated in the Django CMS documentation, we need to add a missing piece of settings code block to the file. It does not exist in settings.py
. Copy-and-paste the block to a free location in the file:
Now let's find and modify the STATIC_ROOT
and MEDIA_ROOT
directives similar to the following:
Continue with modifying the TEMPLATE_DIRS
directive to:
Add the following code block to the file, amending it as necessary to suit your needs:
We need to set the translation languages as well. Add the following code block:
Finally let's define a database engine. You can modify the DATABASES setting to work with PostgreSQL as shown or use the following to have SQLite database set up temporarily:
We are done with the settings.py . We can save and close it. (Press CTRL+X and type Y to save and close).
We need to define routes for our project.
We will do this by editing urls.py file:
Replace the document with the following code snippet:
Please note that the last conditional created in the above snippet slightly differs from the Django CMS introductory settings, whereby urlpatterns = patterns(
is replaced with urlpatterns += patterns(
to fix the problem of overriding urlpatterns
set above.
Again press CTRL+X and type Y to save and close.
Execute the following commands to synchronise database according to our settings:
If you see "Installation okay", it means everything is fine and we can try it on the test server before continuing with building on our Django CMS project.
Let's run the server again:
If you see "Installation okay", it means everything is fine and we can try it on the test server before continuing with building on our Django CMS project.
Let's run the server again:
For further instructions, tutorials and documentation you can visit http://docs.django-cms.org/en/2.4.2/. To get more support on Django CMS, you can visit the support page located at https://www.django-cms.org/en/support/.


Man United’s Paul Pogba watches Jimmy Butler & Heat in Miami
by FSA EditorPaul Pogba, who is recovering from injury, attended the Miami Heat’s 109-94 win over the New Orleans Pelicans on Saturday.
Manchester United star Paul Pogba watched Jimmy Butler and the Miami Heat in NBA action.
Pogba is nearing a United comeback, having been sidelined with an ankle problem since late September.
The Red Devils midfielder – who had an ankle cast removed earlier this month – made the most of the international break, travelling to the United States.
France international Pogba was in attendance as the Heat beat the New Orleans Pelicans 109-94 in Miami.
A friend of Heat star Butler, Pogba was gifted a Heat jersey during the clash at AmericanAirlines Arena.
Pogba – who continues to be linked with an Old Trafford exit amid interest from Real Madrid and former club Juventus – has made just five Premier League appearances this season.


OnSIP Call Assistant Plugin for Chrome
Thank you for installing OnSIP Call Assistant.
Important Notes:
- This app is free, but you must be an OnSIP user to use this extension. Click here to learn more about OnSIP Business VoIP.
- After saving Settings, please confirm to allow desktop notifications at the top of your Chrome view. Otherwise, you will not receive Caller ID pop-ups.
- For detailed information on this plugin and configuration, visit our Knowledgebase.
OnSIP - The smart approach to business phone service.
Questions?
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Facebook: facebook.com/onsip


Inheritance diagram for ProgressBar::SetCurrentOperation:
Definition at line 118 of file ProgressBar.h.
Public Member Functions | |
| virtual void | run () |
| Performs the operation. | |
| SetCurrentOperation (ProgressBar *progressBar, int value, bool increase) | |
| Creates a new setCurrent or increase deferral operation. | |
Private Attributes | |
| bool | increase |
| Whether to increase the value (otherwise set it). | |
| ProgressBar * | progressBar |
| The progress bar to operate on. | |
| int | value |
| The new set value. |
|
|
Creates a new setCurrent or increase deferral operation.
|
|
|
Performs the operation.
Reimplemented from Runnable. |
|
|
Whether to increase the value (otherwise set it).
Definition at line 135 of file ProgressBar.h. |
|
|
The progress bar to operate on.
Definition at line 125 of file ProgressBar.h. |
|
|
The new set value.
Definition at line 130 of file ProgressBar.h. |


Verifies a JWT string’s signature and validates reserved claims.
| Parameters: |
|
|---|---|
| Returns: |
|
| Return type: | dict |
| Raises: |
|
Examples
>>> payload = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhIjoiYiJ9.jiMyrsmD8AoHWeQgmxZ5yq8z0lXS67_QGs52AzC8Ru8'
>>> jwt.decode(payload, 'secret', algorithms='HS256')
Encodes a claims set and returns a JWT string.
JWTs are JWS signed objects with a few reserved claims.
| Parameters: |
|
|---|---|
| Returns: | The string representation of the header, claims, and signature. |
| Return type: | str |
| Raises JWTError: | |
If there is an error encoding the claims. |
Examples
>>> jwt.encode({'a': 'b'}, 'secret', algorithm='HS256')
'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhIjoiYiJ9.jiMyrsmD8AoHWeQgmxZ5yq8z0lXS67_QGs52AzC8Ru8'
Returns the decoded claims without verification of any kind.
| Parameters: | token (str) – A signed JWT to decode the headers from. |
|---|---|
| Returns: | The dict representation of the token claims. |
| Return type: | dict |
| Raises JWTError: | |
| If there is an exception decoding the token. |
Returns the decoded headers without verification of any kind.
| Parameters: | token (str) – A signed JWT to decode the headers from. |
|---|---|
| Returns: | The dict representation of the token headers. |
| Return type: | dict |
| Raises JWTError: | |
| If there is an exception decoding the token. |
Returns the decoded headers without verification of any kind.
This is simply a wrapper of get_unverified_header() for backwards compatibility.
| Parameters: | token (str) – A signed JWT to decode the headers from. |
|---|---|
| Returns: | The dict representation of the token headers. |
| Return type: | dict |
| Raises JWTError: | |
| If there is an exception decoding the token. |


All Classes
BuildGameState
ChatInteractionGameBuilding
ConfigManager
CreateGame
GameConfigBean
GameConnector
GameController
GameCreatorCommand
GameMessages
GameState
getMinigames
JoinGame
JoinTeamCommand
MiniGameAPI
PlayerEventHandler
SetGameSpawnPoints
SetLobbySpawnPoints
SignClickHandler
SpawnManager
Team
TeamManager
titles


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.ApplicationConfig @()(implicit messages: Messages, request: Request[AnyContent], appConfig: ApplicationConfig)
@messages("unauthorised.UK.p")
@messages("unauthorised.nonUK.p1")
@messages("unauthorised.nonUK.p2.a") @messages("unauthorised.nonUK.link") @messages("unauthorised.nonUK.p2.b")
@messages("unauthorised.nonUK.p3")
@messages("unauthorised.nonUK.p4")
@messages("unauthorised.button.signout")


Like, Comment, Subscribe! Thank you, for the massive support on my channel! Tips? Litecoin - LXBB6SsxRE4ESFucHUuhK65X86UwUjt2i7 Bitcoin - 1GVNDPQoMzv3XqThzyr...
Looks like we are getting rejected from breaking out
designer14-Jul-19 09:08 AM
how long are you gonna be watching the meaningless chart?
If the price moves according to the chart, everyone will be rich.(edited)
Markus14-Jul-19 09:09 AM
thats why 90% lose
cause they dont understand it
most of ppl fomo when price already went up
I often see ppl here writing that they hodl since they bought in at 30k or whatever, thats bad risk management, why hodl and lose when u can trade trends and grow ur bag
its like buying in at 10k, price pumps to 20k in 2 days, are u gonna hodl? such move is not sustainable so obviously if u care about ur investment u would take profits and buy back in after a pullback
1
2
Markus14-Jul-19 09:26 AM
When btc peaked to 13.9k a while ago why do u think it crashed afterwards? whales were long, closed their position. Opened huge shorts and dumped large amounts of bitcoin. Whats result? Dumb money panic and sell in fear while whales are happy over free bitcoin.
Cause they afterwards buy back their dumped bitcoins 2000-3000$ cheaper a piece(edited)
Statistics for the Komodo Platform's dPOW notarization of KMD and supported blockchains.
grumpygoron14-Jul-19 12:28 PM
Been traveling the last week. The rebrand is now the 15th too? What kind of buzz have they been stirring up to let this be known? I found out about it on here but have they made a push for the public to know?
Will CoinJoins making blockchain analytics irrelevant? Could there be a bifurcation of the network over privacy improvements, if a large portion of the suppl...
2
siu - Chainmakers14-Jul-19 01:34 PM
the only reason why something like ETC is around still is because of shillers
sφldat14-Jul-19 01:35 PM
but in the long term what's the point siu?
siu - Chainmakers14-Jul-19 01:35 PM
the point is that these people are the actual free marketing. They have followers that do as they say
sφldat14-Jul-19 01:36 PM
Shiller men do not survive in the face of real technology.
which is why most of them are maximalist Bitcoin.(edited)
siu - Chainmakers14-Jul-19 01:36 PM
you need people with influence to put kmd in the public discussion
this doesnt have to do with tech
is about influence
its not the same that someone like me or any on this chat go to twitter and shill kmd
than someone like roger V, barry shillbert or some other type of influencer
blubbi14-Jul-19 01:37 PM
true
siu - Chainmakers14-Jul-19 01:38 PM
you need people with influence to go and put kmd in the public discussion
that when someone tweets about some tech, that this influencer reply saying what kmd can already achieve.
that is the big problem kmd has.
if its not in the public discussion, it is not going to be discussed and for that it wont make noise.
Andersen14-Jul-19 01:41 PM
LOL Antonopulos on video says Comodo Dragon , i'll think it was bannned name
siu - Chainmakers14-Jul-19 01:41 PM
lol
its not about some random mention
yorklab14-Jul-19 01:42 PM
@siu - Chainmakers Agree. By bringing more buyers to KMD, you bring more attention to Komodo the platform, which will ultimately bring in more DEVS.(edited)
siu - Chainmakers14-Jul-19 01:42 PM
CZ did that already and it brought some attention.
Andersen14-Jul-19 01:42 PM
Not random ? @siu - Chainmakers
siu - Chainmakers14-Jul-19 01:42 PM
but you need a more constant stream of shill from people with lots of followers
yes, not random like CZ did...he briefly mentioned kmd in a fortune interview, that is a random mention
you need someone with more consistency
sφldat14-Jul-19 01:44 PM
Most influencers are paid to mention a project
siu - Chainmakers14-Jul-19 01:44 PM
you are assuming that i guess.
they can just buy at a good otc market price
and shill their bags
ComputerGenie 👴👴👴14-Jul-19 01:46 PM
its not about some random mention
It wasn't even that, though
it was an analogy of actual reptiles
feken people hear what they want to hear
siu - Chainmakers14-Jul-19 01:46 PM
oh, i mean the CZ interview
actionslacks14-Jul-19 01:46 PM
so joe sixpack and avocado toast andy are gonna buy kmd, dl wallets, update wallets at least monthly, collect interest, figure out mobiledex, use it for something, and then spend hours explaining it all to all their friends so usage can grow?
siu - Chainmakers14-Jul-19 01:47 PM
the andreas mention doesnt have anything to do with kmd
ComputerGenie 👴👴👴14-Jul-19 01:47 PM
oh, i mean the CZ interview
ahh, I was meaning the AA talk/lecture(edited)
siu - Chainmakers14-Jul-19 01:47 PM
@actionslacks its not that.
Its shilling the tech talking points
blubbi14-Jul-19 01:51 PM
every little news, got to be shilled like u proved existance of god
actionslacks14-Jul-19 01:51 PM
but who are these shills talking to besides people already deep inside the crypto borg. everyone knows about kmd. the problem is they don't know wtf they're talking about anyway. kmd is centralized, kmd is a privacy coin, etc. we cant shill anything without changing the way kmd is framed. hopefully antara release will clear things up
Alright14-Jul-19 01:52 PM
the andreas mention doesnt have anything to do with kmd he must be aware of how that comes off


{{+bindTo:partials.standard_nacl_article}}
NOTE:
Deprecation of the technologies described here has been announced
for platforms other than ChromeOS.
Please visit our
migration guide
for details.
The sandbox internals documentation describes implementation details for Native Client sandboxing, which is also used by Portable Native Client. These details can be useful to reimplement a sandbox, or to write assembly code that follows sandboxing rules for Native Client (Portable Native Client does not allow platform-specific assembly code).
As an implementation detail, the Native Client sandboxes described here are currently used by Portable Native Client to execute code on the corresponding machines in a safe manner. The portable bitcode contained in a pexe is translated to a machine-specific nexe before execution. This may change at a point in time: Portable Native Client doesn’t necessarily need these sandboxes to execute code on these machines. Note that the Portable Native Client compiler itself is also untrusted: it too runs in a Native Client sandbox described below.
Native Client has sandboxes for:


{% extends 'tool/project/base.html' %}
{% block title %}Project Detail{% endblock %}
{% block content %}
| Name | {{project.name}} |
| Description | {{project.desc}} |
| Budget | {{project.budget}} |
| Planned Duration | {{project.pd}} |
| Owner | {{project.owner.username}} |
| AT | PV | EV | AC |


Description of offence
{{ offenceDescription.value | titlecase }}
Amount due
{{
ticketedAmount.value
| currency: "CAD":"symbol-narrow":"1.2-2":defaultLanguage
}}
If you choose to not appear in court, you must submit written reasons
for each request to ask for more time or a fine reduction for each
count.
If the disputant or the disputant’s agent does not attend the court
hearing, the court will treat the violation ticket as not disputed, the
conviction(s) to the allegation(s) will be recorded against the record
of the disputant, and the prescribed ticketed amount(s) will become
immediately due and payable.


PUT /user/following/:username
Note that you'll need to set Content-Length
to zero when calling out to this endpoint. For more information, see "HTTP verbs."
Following a user requires the user to be logged in and authenticated with basic
auth or OAuth with the user:follow
scope.
Status: 204 No Content


Trash it is a social and tech startup founded by young, energetic youth of Pakistan. We enable residents of Pakistan to efficiently dispose their trash by adopting composting and other ways. We aim to empower people to transition towards a zero waste lifestyle. Our main focus is on reusing kitchen waste (also known as green waste) and paper scraps (referring to brown waste) to make organic compost - khaad. If each household starts composting, imagine the difference we will be able to achieve as a community.
We have been featured on Zara Hut Kay show , and on multiple blogs. But at that time our idea was just a concept so the marketing didn't help much. However, it was great motivation to continue working on it.
Turn trash into Black Gold. Make Compost and Grow at Home. Move towards an Organic Lifestyle; healthier, and tastier
Co-founders from different domains, united their individual expertise to solve a major problem
Anusha Fatima is a young learner and environmental enthusiast. Her passion for civic hacking turned her into a social impact entrepreneur. She believes that urban challenges are wicked problems that demand an active participation of citizens. Tired of seeing a dirty outlook of the city everyday as she commuted within the city, she refused to make it an ordinary site and decided to step forward to take on the challenge.
The engineering brains of trashIt, Abdullah Ayub is a chemical engineering student at NED University. From designing the technology to handling on ground matters, he is determined to use his skills for this social cause. Abdullah is the CTO of trashIt. He has mastered the art of speedy organic compost production by extensive research, and experiments.
Rahul Rai being a young finance professional brings his financial expertise to the team and is the CFO of trashIt. He predicts financial projections, budgeting and looks over the startup’s legal matters. He also brings experience of working with startups and understands the reasons for failure. He is adamant at making this one successful both at planning and execution level.
The Nest i/o hosted the Startup Weekend Karachi 2017 from March 24 to March 26 in Karachi to bring together local entrepreneurs and industry leaders to collaborate on ideas, form teams and pitch in front of a panel of judges
trash it's compost is a premium quality, 100% organically produced compost. This product is a perfect fit for all your organic needs. Whether your are growing your own crops, or maintaining a flower nursery, trashit's organic compost will make sure that the yeild of the soil is 100% without degrading it. With this product, you don't have to use additional pesticides.


Getting Started
This is a simple process that requires you dropping a copy of the Webplate directory you just got into your project and including the webplate/stack.js in your head tag. Below is a basic example and note that the id of webplate-stack is required.


{% extends 'base.html' %} {% load static %} {% block title %}Offers{% endblock %} {% block content %}
Pakistan airlines provide special discounts and different offers according to the occassion to avail check below if any.
Pakistan Railways are always economical but on special days like Eid etc they provide different incentives to avail check below.
Different companies that provide bus services provide the discounts and other incentives regularly as per the situation to avail check below.
SignUp now to avail the one of the most reliable platform's services and its offers.


Chapter 2 Introduction
This step-by-step guide outlines how to upload, view, compute and share data using TercenCloud. it uses an example data set of morphological measurements on Leptograpsus Crabs collected at Fremantle, W. Australia.
Why read this guide The easiest path to knowing the basics of Tercen.
Acknowledgement I would like to thank all the users of Tercen and also those who have given feedback, all of which made Tercen possible.
Motivation
Tercen promotes collaboration for data analysis. Not everyone can code or even wants to, but everyone should benefit from the explosion of data and code currently taking place. Tercen allows non programmers (e.g. biologists) to explore their data and allows programmers (e.g. bioinformaticians) to upload their code (or web-apps) for the biologist to use. By offering this services we believe biologist get empowered and can claim back control of their data. The bioinformatician gets liberated from the operational details and day to day analysis demands from the biologist. This is summed up with the phrase:
Tercen empowers the biologist and liberates the bioinformatician.


Ploror688.github.io
Diploma in Creative Writing in English (DCE) : IGNOU. JSS Academy of Technical Education JSS Mahavidyapeetha. Find model question papers and previous years question papers of any university or educational board in India. Students can submit previous years question. IGNOU DCE Study Material IGNOUHelp.in.
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{% extends '_base.html' %} {% block title %}Thanks!{% endblock %} {% block content %}
However, we'd like to take a minute and thank you for trying out our service. You're always welcome back at any time!


---
layout: default
page_category: jsvow
---
JavaScript Variable of the Week (JS VOW)
Teaching JavaScript through vocabulary...
or vocabulary through JavaScript...
(or maybe neither)
{% for post in site.posts %}
{% if post.group_with == page.page_category %}
{% include jsvow-excerpt.html post=post %}
{% endif %}
{% endfor %}


Dayox
Has complete control of the group. Tasked with organising and maintaining everyone and failing to certain degrees.
Greenjuice, DrDeath, Node, Razordor, HawkEye
In charge of a moderating the Drifters. Also helps with decision making and settling disputes.
Over 180 people happy to don the name "Sky Hobo" or Sky Drifter
A highly trusted member of the Drifters. Tasked with controlling his/her own life. Has a high influence in decision making.


--- title: Goals call_to_action: Contact background_image_path: large_header: false show_in_navigation: true navigation_order: 2 ---
Our specialised team has the skill and experience to put in motion wide ranging reforms. The main thrust of our actions is concentrating in the following effort:
We intend to engage lobbyists, and provide support to legislators who support fair access to justice to both tenants and housing providers. We will challenge
We have expertise in many domains of law, are not afraid to challenge the state in the court and we do not like to see what is happening to both small and large property owners.
We support SNEPOA members by providing them economic advantage, giving them access to discounts and services normally not available to individuals.


The easiest way to find gear combat athletes use and endorse.
| Athlete | Sport | Apparel | Gear | Digital | |
|---|---|---|---|---|---|
|
TJ Dillashaw
ex-UFC Bantamweight Champion
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MMA
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Justin Gaethje
UFC Interim Lightweight Champion
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MMA
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Kyle Dake
2x World Champion
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David Taylor
World Champion
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Wrestling
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{% extends "layout.html" %} {% block content %}
This project was done by Elliot Greenlee and Jared M. Smith.


Sorting algorithms are used in programming to order a list (often stored in an array to allow random access) of items. Most often they are sorted numerically or alphabetically. There are many different algorithms for sorting, which differ in the ways that they approach the sorting of the items. The following are a few of the most popular sorts.
Bubble Sort
The bubble sort is one of the most simple sorting algorithms. It steps through the list of items, compares the adjacent items, and swaps them if they are wrongly ordered. This process repeats until no more swaps are necessary, thus leaving a sorted list. Each iteration will check one less item on the list as the last item will be positioned correctly from the previous pass.
Quicksort
The quick sort is different from the bubble sort in that it uses a divide and conquer algorithm. The list is first divided into two smaller sub-array: low elements and high elements and then recursively sorts the subarrays into smaller and smaller sub-arrays until the list is sorted. It does this by using a pivot element to split the list into elements higher than and lower than the sub element. Those sub arrays then are sorted by their own pivot until there can be no more sorting.
Merge Sort
The merge sort is also a divide and conquer style algorithm. It works by first dividing the list into sub arrays of the smallest unit available (1 element). Then the merge compares the adjacent sub arrays and merge those subarrays into bigger lists to produce larger sorted sub arrays. This repeats until there is one array remaining.


20 is < 100.
100 is > 20.
The address of operator in C language is &
This candy will cost you 5¢
This shirt has been purchased by paying 200£
The Japanese curreny is ¥
The currency prevalent in Europe is €
Windows Server® of Microsoft Corporation
.
© Mahajan Computers. All rights reserved.


---
tags:
- cadastre
- data
- overview
author:
display_name: Rick Kelson
email<EMAIL_ADDRESS>date: 2011-09-06 15:39:19 -0600
title: Cadastre Data and Services Overview
categories: []
---
{% include table_overview.html name="Cadastre" %}
| Cadastre Package |
map data |
AGRC |
Parcels, Land Ownership, GCDB Points, Sections, Township and Range package |
| Parcels |
map data |
AGRC |
Parcel boundaries and information |
| PLSS / GCDB |
map data |
AGRC |
Public Lands Coordinate System / Geographic Coordinate Database |
| Land Ownership |
map data |
SITLA |
Statewide land ownership categories |
| GPS Reference Network |
network |
AGRC |
RTK GPS reference network |
Other Cadastre Data
Related Data


Experiment #1 >> November 7, 2003, 8:30pm
Substance >> 5-MeO-DMT
Appearance >> Light & dark beige crystals
Amount >> 10mg
Method >> Smoked
Sitting with four friends during the Harmonic Concordance and the Lunar eclipse, I free-based 10mg of ‘5-MeO-DMT’ for the first time. Cross-legged on the grass, I exhaled every last bit of air from my lungs, put the tube to my lips and took a long, slow inhalation. Head moved upright and hands in my lap to meditate, I held my breath for about 30 seconds and the first effects came with light-headedness and a jelly-like sensation in my body, somewhat similar to mushrooms or LSD. Not a moment later, a huge wave of unmistakable transition swept upwards from my legs and throughout my entire being/existence, leaving me in void: another dimension one cannot see but is omnipresent.
Senses were mutated: it sounded like all the air around me was being sucked by a vacuum, ending with something like the familiar sound of a seashell, but as if I was inside of it; vision was a bit blurred, objects lost their edges and some of my view space was now nothing but shadow. It seemed as if I were looking into the 4th dimension, I recognized things but also saw beyond them or inside of them; I don’t remember feeling the ground, still sitting cross-legged. I recognized my breathing and it was okay. I felt oneness with everything, and love emanating everywhere. I smiled wide.
I had to take a glimpse of the lunar eclipse while under this amazing force, so I tried to stand up (not recommended). I was successful but very wobbly in the process; I stayed close to the ground with arms out for two steps then had to seek help from a nearby patio chair. If there were no chair, I probably would have toppled over. I managed to see the eclipse, though it didn’t hold my interest too long, I just kept looking around at everything. I noticed that my hands and face were vibrating very rapidly, at a faster rate than when shivering from the cold. It felt pretty weird, but soon forgotten with my mind everywhere at once.
My first words were a conscious effort. “The sound,” came to be very slow and gentle, directed at my sitter. “Now I must lay down,” were the next. I returned to my sitting spot and layed back on the grass, noticing the stars, able to see more of them now. It took a good minute to get comfortable enough to remain still. I meditated quietly and without movement, for another few minutes, until my other friend reestablished reality from his DMT-induced unconscious state. We spoke, but I forget what of. I asked him to join me in an Om chant, so we sat facing each other. I sent love and happiness throughout the universe, to everyone and everything. We chanted then breathed in silence; I was in such a calm state of existence. At that point, I noticed that most of the effects had left my body and mind. The peak lasted [what felt like] 10-15 minutes. Our hug lasted forever.
I did not, at any point during my trip, become unconscious or leave this physical world, but was given insights into the next level of awareness, a previously unknown but vital addition to the entity I call self. I later described my experience as a preview for what the 4th dimension is capable of. It was definitely a beautiful and mind-blowing trip into the subconscious! Is it worth repeating? Absolutely!!
NOTE: Fasted for the day, prior to tripping in the evening. Drank papaya with white grape and pineapple juice. Ate a few dried papaya chunks.
:bob dobolina
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


ZF2’s minimal version is PHP 5.3. The most notable feature of PHP 5.3 is the addition of namespaces, which ZF2 fully embraces. Moreover, new projects built on ZF2 also fully embrace PHP namespaces. The addition of namespaces to PHP has greatly improved the readability of long class names and has helped better organize code into modules and components. This transition has also given birth to some naming best practices that help developers organize their code bases consisting of classes, components, and modules in a consistent and clean fashion.
Converting an older code base that follows the original PEAR/ZF underscore separated class naming convention into a properly namespaced codebase is one of the easier strategies to employ in both modernizing your code base as well as getting ready to ZF2-ify your ZF1 application.
We’ve created a tool to help in this endeavor, it is located here:
This tool will take a wholesale approach to converting older code like the following:
class My_Long_NestedComponent_ClassName
{
// methods that use other classes
}
into:
namespace My\Long\NestedComponent;
use Other\Classes;
use Something\ElseConsumed;
class ClassName
{
// methods with classes converted to short name from use statement.
}
Some IDEs have this capability to some degree. That said, a good approach might be to use the command line Namespacer to do a full sweep of your codebase, then use the IDE to make more specific naming changes that might makes more sense to your application.
The above Namespacer is a generalized tool. It does not understand the structure and naming conventions of a ZF1 application. As such, you’ll need to address the problem of converting your classes according to their role, and which classes you find you can convert without affecting the way the framework interoperates with your code.
For example, in ZF1, the naming convention of application and module layer classes does not directly match up with same well-defined library class/file conventions of the PEAR/ZF namings. For a standard ZF1 application, in the application/ directory, controller classes are not prefixed, yet model and form classes are prefixed with Application_. Moreover, they exist inside of lowercased directories, such as models or forms, and their file to class name segment matching picks up only after the first segment. As an example, you might have this directory structure with the class names on the right:
application/
├── Bootstrap.php
├── configs
│ ├── application.ini
│ └── application.ini.dist
├── controllers
│ ├── IndexController.php [class IndexController]
│ └── PurchaseOrderController.php [class PurchaseOrderController]
├── forms
│ └── PurchaseOrder
│ └── Payment.php [class Application_Form_PurchaseOrder_Payment]
├── layouts
│ └── scripts
│ ├── main.phtml
│ └── subpage.phtml
├── models
│ ├── DbTable
│ │ └── Invoice.php [Application_Model_DbTable_Invoice]
│ ├── Invoice.php [Application_Model_Invoice]
│ ├── InvoiceRepository.php [Application_Model_InvoiceRepository]
│ ├── Payment
│ │ └── Paypal
│ │ └── DirectPayment.php [Application_Model_Payment_Paypal_DirectPayment]
│ └── PurchaseOrder.php [Application_Model_PurchaseOrder]
└── views
└── scripts
├── error
│ └── error.phtml
├── index
│ └── index.phtml
└── purchase-order
├── index.phtml
└── purchaser.phtml
It would not be a good strategy to attempt to do a wholesale namespacing of this kind of project for a number of reasons:
A better solution would be to start by namespacing the parts of your ZF1 application that have fewer tie-ins with the ZF1 architecture. The place to start with this is models and forms.
Since models and forms do not touch controller and view classes (which make heavy use of ZF1 classes by way of inheritance), model and form classes might not have the same level of coupling.
First, ensure your classes are under version control. The namespacer tool will make modification to classes in place. You can then use your version control system as a diffing utility afterwards .
To run the tool, download the phar. Optionally you can place the namespacer.phar into a directory in your PATH.
Namespacing is a 2 part process:
Change into your models/ directory and execute the map function:
namespacer.phar map --mapfile model-map.php --source models/
This will produce a file called model-map.php with entries like this:
1 2 3 4 5 6 7 8 9 10 11 | <?php return array (
array (
'root_directory' => '/realpath/to/project/application/models',
'original_class' => 'Application_Model_Invoice',
'original_file' => '/realpath/to/project/application/models/Invoice.php',
'new_namespace' => 'Application\\Model',
'new_class' => 'Invoice',
'new_file' => '/realpath/to/project/application/models/Application/Model/Invoice.php',
),
...
);
|
This gives you an opportunity to manually edit the transformations if you so desire. While you can modify this file, you also might find it to be easier to go with the default transformations, and do the remaining changes with your IDE’s refactoring utility.
Once you are happy with the map file, run the transformations:
namespacer.phar transform --mapfile model-map.php
At this point, you can use your version control system’s status command to see how the directory has transformed. As an example, in a sample project of mine, git reports the following:
renamed: models/DbTable/Invoice.php -> models/Application/Model/DbTable/Invoice.php
new file: models/Application/Model/DbTable/Transaction.php
renamed: models/Invoice.php -> models/Application/Model/Invoice.php
renamed: models/Payment/Paypal/DirectPayment.php -> models/Application/Model/Payment/Paypal/DirectPayment.php
renamed: models/PurchaseOrder.php -> models/Application/Model/PurchaseOrder.php
renamed: models/PurchaseOrderRepository.php -> models/Application/Model/PurchaseOrderRepository.php
new file: models/Application/Model/PurchaseOrderService.php
renamed: models/Purchaser.php -> models/Application/Model/Purchaser.php
renamed: models/Ticket.php -> models/Application/Model/Ticket.php
renamed: models/Transaction.php -> models/Application/Model/Transaction.php
renamed: models/TransactionRepository.php -> models/Application/Model/TransactionRepository.php
deleted: models/DbTable/Transaction.php
deleted: models/PurchaseOrderService.php
You’ll notice that the resulting files have treated the models/ directory as the autoloader root directory. That means that from this root, class files follow the strict PEAR/ZF2 classfile naming convention. The contents of one of the files will look like this:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | namespace Application\Model;
use Application\Model\PurchaseOrder;
use Application\Model\Transaction;
use Zend_Filter_Alnum;
class Invoice
{
protected $tickets;
protected $transaction;
...
}
|
Things to notice here:
By keeping the old ZF1 classes, your models should continue to work if they consume ZF1 classes. This will allow you to, at your own pace, transition your codebase to ZF2.
This same procedure can largely be adapted to forms and independent library code as well.
The source code of this file is hosted on GitHub. Everyone can update and fix errors in this document with few clicks - no downloads needed.


I work on machine learning, information retrieval, and natural language processing. Previously I have studied a wide range of topics such as robotic soccer, computer system diagnosis, product search, and question answering. Now I am interested in learning to control machines, and learning to create machines.
I graduated from Language Technologies Institute, School of Computer Science at Carnegie Mellon University. My thesis was advised by professor William W. Cohen. I worked at Google and Apple on language understanding and question answering. I was the chief scientist at SayMosaic. Now I work at Google on large pretrained models.My CV, research statement, and thesis. My collection of interesting stuff
I TAed classes Machine Learning with Large Datasets, 2012 and Machine Learning, 2010.
My Twitter, LinkedIn, Medium, and Facebook.
(Patents) Google Patents
Cheng HE, Ni Lao, Xiuqi Tan, Sumang Liu, Method and apparatus for searching historical data, US20190370398A1, 2019
Ni Lao, Chen Liang, Quoc V Le, John Blitzer, Neural question answering system, US20190130251A1. 2019
Ni Lao, Lukasz Mieczyslaw Kaiser, Nitin Gupta, Afroz Mohiuddin, Preyas Popat, Answer to question neural networks, US20180114108A1, WO2018097907A1, DE202017106363U1, GB2557014A. 2018
Ni Lao, Jiazhong NIE, Fan Yang, Natural language processing with an n-gram machine, US Patent App. 16/069,781, WO2019083519A1, 2017
A Subramanya, F Pereira, N Lao, J Blitzer, R Gupta, Querying a data graph using natural language queries US Patent 10,810,193
Kevyn B Collins-thompson, Ni Lao, Context-Aware Query Alteration, US Patent App. 13/043,500, 2012
(Peer reviewed papers) Semantic Scholar , Google Scholar , DBLP
Gengchen Mai, Krzysztof Janowicz, Rui Zhu, Ling Cai, Ni Lao, Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions , AGILE: GIScience Series 2, 1-21, 2021.
Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Bo Yan, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao, SE‐KGE: A location‐aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting , in Transactions in GIS, 2020.
Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao,
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells ,
in ICLR 2020.
slides ,
spotlight presentation ,
github
Notes: Symbolic representations are efficient and accurate, and that is how mammals represent positions and locations.
Mai et al, Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online, In: Proceedings of AGILE 2020, Jun. 16 - 19, 2020, Chania, Crete, Greece.
Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs, In the 10th ACM International Conference on Knowledge Capture (K-CAP 2019)
Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger, Integrated Triaging for Fast Reading Comprehension, Preprint, 2019.
Jacob Biloki, Chen Liang, Ni Lao, Neural Program Planner for Structured Predictions, In ICLR 2019, Workshop on Deep Reinforcement Learning Meets Structured Prediction.
Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger, FastFusionNet: New State-of-the-Art for DAWNBench SQuAD, Technical Report, 2019
Gengchen Mai, Krzysztof Janowicz and Cheng He, Sumang Liu, Ni Lao. POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset, In 12th Workshop on Geographic Information Retrieval (GIR 2018)
Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc Le, Ni Lao,
Memory Augmented Policy Optimization for Program Synthesis with Generalization ,
In NIPS 2018
Medium
Notes: Animals dream of memory traces of high emotional/motivational values.
The optimal experience replay strategy in RL is to balance good and bad experiences focusing on the more supprising ones.
T. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, B. Yang, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J. Welling, Never-Ending Learning, Communications of the ACM, 2018
Juanzi Li, Ming Zhou, Guilin Qi, Ni Lao, Tong Ruan, Jianfeng Du, Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence, Communications in Computer and Information Science, Springer, 2017
Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao,
Learning to Organize Knowledge with N-Gram Machines ,
ICLR 2018 Workshop.
poster
AKBC
best poster award,
Notes: Towards indexing meaning in text with a symbolic open-domain schema.
Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao,
Neural Symbolic Machines:
Learning Semantic Parsers on Freebase with Weak Supervision , ACL 2017.
poster slides slides
Notes: We want a symbolic machine, which is good at large scale KG computation, to be controlled by a neural net, which is good at learning from data.
Felix Wu, Ni Lao, John Blitzer, Guandao Yang, and Kilian Weinberger, Fast Reading Comprehension with Convnets , Techincal Report, 2017.
Ni Lao, Einat Minkov and William Cohen, Learning relational features with backward random walks , ACL 2015. poster
William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom M. Mitchell, William W. Cohen, Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic, Machine Learning Journal (MLJ 2015), Springer.
T. Mitchell, W. Cohen, E. Hruscha, P. Talukdar, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner,B. Kisiel,J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohammad, N. Nakashole, E. Platanios,A. Ritter, M. Samadi, B. Settles, R.Wang, D.Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J.Welling (2015): Never-Ending Learning in AAAI-2015.
Ni Lao, Jun Zhu: Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields.
CoRR abs/1406.7445 (2014)
code
Notes: Evaluate exponentially many CRF features efficiently by only considering big gradients, which is very sparse.
Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao,
Kevin Murphyy, Thomas Strohmann, Shaohua Sun, Wei Zhang
Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion.
KDD, 2014
Notes: auto-matic KG construcion at Google scale.
Ni Lao, Amarnag Subramanya, Fernando Pereira, William W. Cohen
Reading The Web with Learned Syntactic-Semantic Inference Rules.
EMNLP, 2012
Notes: read the web.
Ni Lao, William W. Cohen, Personalized Reading Recommendations for Saccharomyces Genome Database. DILS, 2012 poster
Ni Lao, Tom Mitchell, William W. Cohen,
Random Walk Inference and Learning in A Large Scale Knowledge Base.
EMNLP, 2011 slides
poster
AMT labels of 16 relations
Distant Supervision labels of 96 relations
Notes: To learn effectively we need to first set a budget for every direction/branch we try.
Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing Conditional Topical Coding: an Efficient Topic Model Conditioned on Rich Features. KDD, 2011
Ni Lao, William W. Cohen, Relational retrieval using a combination of path-constrained random walks Machine Learning, 2010, Volume 81, Number 1, Pages 53-67 (ECML, 2010 slides poster )
Ni Lao, Jun Zhu, Liu Liu, Yandong Liu, William W. Cohen,
Efficient Relational Learning with Hidden Variable Detection.
NIPS, 2010 poster
Notes: Where do new concepts come from? They come from the estimated gain of data likelihood.
Ni Lao, William W. Cohen,
Fast Query Execution for Retrieval Models based on Path Constrained Random Walks.
KDD, 2010
Notes: Randomness is your friend for both efficiency and quality.
Jun Zhu, Ni Lao, E. P. Xing,
Grafting-Light: Fast, Incremental Feature Selection and Structure Learning of Markov Random Fields.
KDD, 2010
Notes: Where do new features come from? They come from the estimated gain of data likelihood.
Lao, Ni, Hideki Shima, Teruko Mitamura and Eric Nyberg. 2008. Query Expansion and Machine Translation for Robust Cross-Lingual Information Retrieval , in Proceedings of NTCIR-7 Workshop, Japan.
Shima, Hideki, Ni Lao, Eric Nyberg and Teruko Mitamura. 2008. Complex Cross-lingual Question Answering as Sequential Classification and Multi-Document Summarization Task , in Proceedings of NTCIR-7 Workshop, Japan.
W. Zuo, N. Lao, Y. Geng, and K. Ma. 2008.
GeoSVM: an efficient and effective tool to predict species' potential distributions.
Journal of Plant Ecology, 1(2): 143-145.
 SVM (and max entropy) models rocks.
Yiming Yang,Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati,
Utility-based information distillation over temporally sequenced documents,
SIGIR, pp. 31-38, 2007.
Notes: simulated user experience from logs.
Chun Yuan; Ni Lao; Ji-Rong Wen; Jiwei Li; Zheng Zhang; Yi-Min Wang; Wei-Ying Ma,
Automated Known Problem Diagnosis with Event Traces,
EuroSys, 2006.
Notes: PC Genomics.
Ni Lao, Ji-Rong Wen, Wei-Ying Ma, Yi-Min Wang, Combine High Level Symptom and Low Level State Information for Configuration Fault Diagnosis, LISA, 2004.
Ji-Rong Wen, Ni Lao, Wei-Ying Ma,
Probabilistic Model for Contextual Retrieval,
SIGIR, 2004.
Notes: you can find/create great data in an industry environment.
Archana Ganapathi, Yi-Min Wang, Ni Lao, Ji-Rong Wen, Why PCs Are Fragile and What We Can Do About It: A Study of Windows Registry Problems, Dependable System and Network (DSN), 2004.
Jinyi Yao, Lao Ni, Fan Yang, Yunpeng Cai, Zengqi Sun,
Technical Solutions of TsinghuAeolus for Robotic Soccer.
Robocup 2003: 205-213,RoboCup, pp. 205-213, 2003
Notes: a two-time RoboCup world champion used dynamic programming and geometry (instead of statistical machine learning).
Ni Lao, Learning to Understand Questions and Organize Knowledge . 2021. In this talk I first introduce previous work in query understanding -- more specifically weakly supervised semantic parsing and its related issues such as 1) symbolic representations for efficient inference; 2) unbiased low-variance gradient estimation with experience replays; 3) sequence reranking model design and training. Then I discuss preliminary work in document understanding, which aims to achieve generalizability, scalability and accountability beyond the current large sequence models.
Ni Lao, A Review of Google's Lingvo . 2019. By invitation of Synced I wrote a review for Google's Lingvo framework. I sincerely thank for the help from Patrick Nguyen and Esther Lee.
Ni Lao, Yann LeCun's Cake Explained . 2019. This essay was based on an interview I got from Robin.ly
Ni Lao, Weakly Supervised Natural Language Understanding . JiangMen tutorial, 2019. video
Ni Lao, Weakly Supervised Natural Language Understanding . AIFrontiers tutorial, 2018.
Ni Lao, Do Androids Dream of Great Success? . 2018.
Ni Lao, Neural Symbolic Language Understanding . 2017.
Ni Lao, Text Generation Survey . 2017.
Ni Lao, Xipeng Qiu, Knowledge Acquisition . 2017.
Ni Lao, NIPS 2016 Overview . 2016.
Ni Lao, Neural Symbolic Machines . 2016.
Ni Lao, New Development in Knowledge Acquisition, Inference, and Applications . 2015. (This is a lecture at CCF ADL65. I added my take on the relationship between connectionism and symbolism, which seems to be an important issue at the moment.)
Ni Lao, Elephant and AI . LTI Colloquium Report, Spring 2012.
Ni Lao, Programming by Demonstrations and Verbal Commands. LTI Colloquium Report, Spring 2012
Ni Lao, Beyond Shallow Semantics. LTI Colloquium Report, Fall 2011.
Ni Lao, CCG, Fractal, and Emergence. LTI Colloquium Report, Spring 2011.
Ni Lao, Reinforcement Learning In An Unknown Domain (slides). 2011.
Ni Lao, Probablistic Ontology Model. LTI Colloquium Report Fall 2010.
Ni Lao, Split-Emit Process for Natural Language Generation. Advanced NLP seminar 2009.
Ni Lao, Jun Zhu, Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields . 2009.
Ni Lao, T. Mitamura, E. Nyberg, Tree Representations for Chinese Semantic Role Labeling. 2009.
Ni Lao, Read The Web (slides). Advanced IR seminar 2007.
Ni Lao, Schema Extraction Model . Advanced IR seminar 2007.
Ni Lao, Knowledge Acquisition From Text--A Survey Statistical NLP class 2007.
PhD thesis, 2012. Efficient Random Walk Inference with Knowledge Bases (slides). Carnegie Mellon University
Master thesis, 2006. Data Mining Problems in Automatic Computer Diagnosis. Tsinghua University
Bachelor thesis, 2003. Mining Spatial-Temporal Data Using Constructive Induction. Tsinghua University
2012, Path Ranking Algorithm A system for relational retrieval on heterogamous graphs ( github )
2006, geoSVM A predictive system for modeling species potential distributions based on SVM. See details at Wenyun's page
Data Sets
2012, NELL v165 NELL Knowledge graph in both triple format and PRA format
2010, yeast2 updated yeast data with extra information about Mesh heading, chemicals and affiliations etc. (321K entities and 6.1M links)
2010, fly a biological literature graph with 770K entities and 3.5M links
2010, yeast a biological literature graph with 164K entities and 2.8M links
Since 2012 I have being the manager of the
Machine Learning News Google Group,
which seems to be quite popular in academia.
I co-organize the Deep RL Meets Structured Prediction workshop 2019
ICLR page ,
homepage ,
intro slides
2021: ACL, AAAI, CoNLL, EMNLP, ICLR, NAACL, SIGIR, TALLIP, GeoAI, NLP4ConvAI 2020: ACL, AAAI, COLING, CoNLL, EACL, EMNLP, ICLR, ICML, IJCAI, Neurips, SIGIR, TALLIP, TKDE 2019: ACL, AAAI, CCL, CoNLL, EMNLP, ICLR, IJCAI, NAACL, SIGIR, TKDE 2018: ACL, CCKS, COLING, EMNLP, NAACL, NLPCC, NIPS, SIGIR 2017: ACL, CCKS, EMNLP, IJCAI, IJCNLP, SIGIR, TKDE, WSDM, Google Research Grants 2016: CIKM, COLING, IJCAI, NAACL, TKDE, WWW, Google Research Grants 2015: CIKM, ICML, IJCAI, MLJ, NIPS, TKDE 2014: CIKM, KDD 2013: CIKM, Google Research Grants 2012: JCST, KDD, Neurocomputing J., SIGIR, TKDD, PKDD 2011: NIPS, T. Fuzzy Systems 2010: CIKM


Media Event Reasoner
Ontology based Semantic Inference System for Personal Media
| Media data Info | ||
| Shots |
| Activity Class Description | |||
| Activity Name | DL Axiom | Top-10 ND Probability |
| Recognized Activitys & Event | ||
| Shots | Recognized Activitys | Matched Rule List |
| Activity Sequence Rule | ||
|
Matched Event |


Manchester City 'preparing for Pep Guardiola exit'
Manchester City have reportedly started preparing for Pep Guardiola's departure with fears emerging that the Spaniard may leave the club at the end of this season.
by Will DoddsGuardiola joined City in 2016 after leaving Bayern Munich but has never stayed in one job for more than four seasons, a milestone he will reach at the end of this term.
According to The Mirror, City have begun making arrangements for his potential exit, although it is reported that Guardiola may be open to extending his contract beyond 2021.
The report states that the club fear the 48-year-old might walk away from the job if they are able to win the Champions League this season, a trophy he has only won with Barcelona.
The arrangements reportedly involve recruiting a new backroom member of staff who would work closely with the first team squad, and would become more hands-on in their approach if Guardiola was to leave.
Manchester City currently sit third in the Premier League table but are 14 points adrift of league leaders Liverpool.
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