Developer documentation of the functions and datastructures used for serializing MQTT control packets.
More...
|
| enum | MQTTConnectFlags {
MQTT_CONNECT_RESERVED = 1u,
MQTT_CONNECT_CLEAN_SESSION = 2u,
MQTT_CONNECT_WILL_FLAG = 4u,
MQTT_CONNECT_WILL_QOS_0 = (0u & 0x03) << 3,
MQTT_CONNECT_WILL_QOS_1 = (1u & 0x03) << 3,
MQTT_CONNECT_WILL_QOS_2 = (2u & 0x03) << 3,
MQTT_CONNECT_WILL_RETAIN = 32u,
MQTT_CONNECT_PASSWORD = 64u,
MQTT_CONNECT_USER_NAME = 128u
} |
| | An enumeration of CONNECT packet flags. More...
|
| |
| enum | MQTTPublishFlags {
MQTT_PUBLISH_DUP = 8u,
MQTT_PUBLISH_QOS_0 = ((0u << 1) & 0x06),
MQTT_PUBLISH_QOS_1 = ((1u << 1) & 0x06),
MQTT_PUBLISH_QOS_2 = ((2u << 1) & 0x06),
MQTT_PUBLISH_QOS_MASK = ((3u << 1) & 0x06),
MQTT_PUBLISH_RETAIN = 0x01
} |
| | An enumeration of the PUBLISH flags. More...
|
| |
|
| ssize_t | mqtt_pack_fixed_header (uint8_t *buf, size_t bufsz, const struct mqtt_fixed_header *fixed_header) |
| | Serialize an mqtt_fixed_header and write it to buf . More...
|
| |
| ssize_t | mqtt_pack_connection_request (uint8_t *buf, size_t bufsz, const char *client_id, const char *will_topic, const void *will_message, size_t will_message_size, const char *user_name, const char *password, uint8_t connect_flags, uint16_t keep_alive) |
| | Serialize a connection request into a buffer. More...
|
| |
| ssize_t | mqtt_pack_publish_request (uint8_t *buf, size_t bufsz, const char *topic_name, uint16_t packet_id, void *application_message, size_t application_message_size, uint8_t publish_flags) |
| | Serialize a PUBLISH request and put it in buf . More...
|
| |
| ssize_t | mqtt_pack_pubxxx_request (uint8_t *buf, size_t bufsz, enum MQTTControlPacketType control_type, uint16_t packet_id) |
| | Serialize a PUBACK, PUBREC, PUBREL, or PUBCOMP packet and put it in buf . More...
|
| |
| ssize_t | mqtt_pack_subscribe_request (uint8_t *buf, size_t bufsz, unsigned int packet_id,...) |
| | Serialize a SUBSCRIBE packet and put it in buf . More...
|
| |
| ssize_t | mqtt_pack_unsubscribe_request (uint8_t *buf, size_t bufsz, unsigned int packet_id,...) |
| | Serialize a UNSUBSCRIBE packet and put it in buf . More...
|
| |
| ssize_t | mqtt_pack_ping_request (uint8_t *buf, size_t bufsz) |
| | Serialize a PINGREQ and put it into buf . More...
|
| |
| ssize_t | mqtt_pack_disconnect (uint8_t *buf, size_t bufsz) |
| | Serialize a DISCONNECT and put it into buf . More...
|
| |
Developer documentation of the functions and datastructures used for serializing MQTT control packets.
◆ MQTT_PROTOCOL_LEVEL
| #define MQTT_PROTOCOL_LEVEL 0x04 |
◆ MQTT_SUBSCRIBE_REQUEST_MAX_NUM_TOPICS
| #define MQTT_SUBSCRIBE_REQUEST_MAX_NUM_TOPICS 8 |
The maximum number topics that can be subscribed to in a single call to mqtt_pack_subscribe_request.
- See also
- mqtt_pack_subscribe_request
◆ MQTT_UNSUBSCRIBE_REQUEST_MAX_NUM_TOPICS
| #define MQTT_UNSUBSCRIBE_REQUEST_MAX_NUM_TOPICS 8 |
◆ MQTTConnectFlags
◆ MQTTPublishFlags
◆ mqtt_pack_connection_request()
| ssize_t mqtt_pack_connection_request |
( |
uint8_t * |
buf, |
|
|
size_t |
bufsz, |
|
|
const char * |
client_id, |
|
|
const char * |
will_topic, |
|
|
const void * |
will_message, |
|
|
size_t |
will_message_size, |
|
|
const char * |
user_name, |
|
|
const char * |
password, |
|
|
uint8_t |
connect_flags, |
|
|
uint16_t |
keep_alive |
|
) |
| |
Serialize a connection request into a buffer.
- Parameters
-
| [out] | buf | the buffer to pack the connection request packet into. |
| [in] | bufsz | the number of bytes left in buf . |
| [in] | client_id | the ID that identifies the local client. client_id is a required parameter. |
| [in] | will_topic | the topic under which the local client's will message will be published. Set to NULL for no will message. If will_topic is not NULL a will_message must also be provided. |
| [in] | will_message | the will message to be published upon a unsuccessful disconnection of the local client. Set to NULL if will_topic is NULL . will_message must not be NULL if will_topic is not NULL . |
| [in] | will_message_size | The size of will_message in bytes. |
| [in] | user_name | the username to be used to connect to the broker with. Set to NULL if no username is required. |
| [in] | password | the password to be used to connect to the broker with. Set to NULL if no password is required. |
| [in] | connect_flags | additional MQTTConnectFlags to be set. The only flags that need to be set manually are MQTT_CONNECT_CLEAN_SESSION , MQTT_CONNECT_WILL_QOS_X (for X ∈ {0, 1, 2}), and MQTT_CONNECT_WILL_RETAIN . Set to 0 if no additional flags are required. |
| [in] | keep_alive | the keep alive time in seconds. It is the responsibility of the clinet to ensure packets are sent to the server {at least} this frequently. |
- Note
- If there is a
will_topic
and no additional connect_flags
are given, then by default will_message
will be published at QoS level 0.
- See also
- MQTT v3.1.1: CONNECT - Client Requests a Connection to a Server.
- Returns
- The number of bytes put into
buf
, 0 if buf
is too small to fit the CONNECT packet, a negative value if there was a protocol violation.
◆ mqtt_pack_disconnect()
| ssize_t mqtt_pack_disconnect |
( |
uint8_t * |
buf, |
|
|
size_t |
bufsz |
|
) |
| |
Serialize a DISCONNECT and put it into buf
.
- Parameters
-
| [out] | buf | the buffer to put the DISCONNECT packet in. |
| [in] | bufsz | the maximum number of bytes that can be put into buf . |
- See also
- MQTT v3.1.1: DISCONNECT - Disconnect Notification.
- Returns
- The number of bytes put into
buf
, 0 if buf
is too small to fit the DISCONNECT packet, a negative value if there was a protocol violation.
◆ mqtt_pack_fixed_header()
| ssize_t mqtt_pack_fixed_header |
( |
uint8_t * |
buf, |
|
|
size_t |
bufsz, |
|
|
const struct mqtt_fixed_header * |
fixed_header |
|
) |
| |
Serialize an mqtt_fixed_header and write it to buf
.
- Note
- This function performs complete error checking and a positive return value guarantees the entire packet will fit into the given buffer.
- Parameters
-
| [out] | buf | the buffer to write to. |
| [in] | bufsz | the maximum number of bytes that can be put in to buf . |
| [in] | fixed_header | the fixed header that will be serialized. |
- Returns
- The number of bytes written to
buf
, or 0 if buf
is too small, or a negative value if there was a protocol violation.
◆ mqtt_pack_ping_request()
| ssize_t mqtt_pack_ping_request |
( |
uint8_t * |
buf, |
|
|
size_t |
bufsz |
|
) |
| |
Serialize a PINGREQ and put it into buf
.
- Parameters
-
| [out] | buf | the buffer to put the PINGREQ packet in. |
| [in] | bufsz | the maximum number of bytes that can be put into buf . |
- See also
- MQTT v3.1.1: PINGREQ - Ping Request.
- Returns
- The number of bytes put into
buf
, 0 if buf
is too small to fit the PINGREQ packet, a negative value if there was a protocol violation.
◆ mqtt_pack_publish_request()
| ssize_t mqtt_pack_publish_request |
( |
uint8_t * |
buf, |
|
|
size_t |
bufsz, |
|
|
const char * |
topic_name, |
|
|
uint16_t |
packet_id, |
|
|
void * |
application_message, |
|
|
size_t |
application_message_size, |
|
|
uint8_t |
publish_flags |
|
) |
| |
Serialize a PUBLISH request and put it in buf
.
- Parameters
-
| [out] | buf | the buffer to put the PUBLISH packet in. |
| [in] | bufsz | the maximum number of bytes that can be put into buf . |
| [in] | topic_name | the topic to publish application_message under. |
| [in] | packet_id | this packets packet ID. |
| [in] | application_message | the application message to be published. |
| [in] | application_message_size | the size of application_message in bytes. |
| [in] | publish_flags | The flags to publish application_message with. These include the MQTT_PUBLISH_DUP flag, MQTT_PUBLISH_QOS_X (X ∈ {0, 1, 2}), and MQTT_PUBLISH_RETAIN flag. |
- Note
- The default QoS is level 0.
- See also
- MQTT v3.1.1: PUBLISH - Publish Message.
- Returns
- The number of bytes put into
buf
, 0 if buf
is too small to fit the PUBLISH packet, a negative value if there was a protocol violation.
◆ mqtt_pack_pubxxx_request()
| ssize_t mqtt_pack_pubxxx_request |
( |
uint8_t * |
buf, |
|
|
size_t |
bufsz, |
|
|
enum MQTTControlPacketType |
control_type, |
|
|
uint16_t |
packet_id |
|
) |
| |
◆ mqtt_pack_subscribe_request()
| ssize_t mqtt_pack_subscribe_request |
( |
uint8_t * |
buf, |
|
|
size_t |
bufsz, |
|
|
unsigned int |
packet_id, |
|
|
|
... |
|
) |
| |
Serialize a SUBSCRIBE packet and put it in buf
.
- Parameters
-
| [out] | buf | the buffer to put the SUBSCRIBE packet in. |
| [in] | bufsz | the maximum number of bytes that can be put into buf . |
| [in] | packet_id | the packet ID to be used. |
| [in] | ... | NULL terminated list of ({const char *topic_name}, {int max_qos_level}) pairs. |
- Note
- The variadic arguments,
..., must be followed by a NULL
. For example:
- See also
- MQTT v3.1.1: SUBSCRIBE - Subscribe to Topics.
- Returns
- The number of bytes put into
buf
, 0 if buf
is too small to fit the SUBSCRIBE packet, a negative value if there was a protocol violation.
◆ mqtt_pack_unsubscribe_request()
| ssize_t mqtt_pack_unsubscribe_request |
( |
uint8_t * |
buf, |
|
|
size_t |
bufsz, |
|
|
unsigned int |
packet_id, |
|
|
|
... |
|
) |
| |
Serialize a UNSUBSCRIBE packet and put it in buf
.
- Parameters
-
| [out] | buf | the buffer to put the UNSUBSCRIBE packet in. |
| [in] | bufsz | the maximum number of bytes that can be put into buf . |
| [in] | packet_id | the packet ID to be used. |
| [in] | ... | NULL terminated list of {const char *topic_name}'s to unsubscribe from. |
- Note
- The variadic arguments,
..., must be followed by a NULL
. For example:
- See also
- MQTT v3.1.1: UNSUBSCRIBE - Unsubscribe from Topics.
- Returns
- The number of bytes put into
buf
, 0 if buf
is too small to fit the UNSUBSCRIBE packet, a negative value if there was a protocol violation.


SHEERDESENZ DESENSITIZING TREATMENT- potassium nitrate film
CAO Group, Inc.
Disclaimer: This drug has not been found by FDA to be safe and effective, and this labeling has not been approved by FDA. For further information about unapproved drugs, click here.
[Patient Kit Information Panel]
TO REORDER: 1.877.236.4408
www.caogroup.com
PACKAGE CONTENTS: 4) desensitizing treatments
See package insert for dosage information. Rx Only. Dispose of properly after use. For complete safety information see product MSDS. Do not use if the packaging has been damaged, or if the safety seals are found to be broken.
REORDER #: 006-00104
Manufactured by CAO (China) Medical Equipment Co., Ltd. for CAO Group, Inc.
4628 West Skyhawk Drive
West Jordan, UT 84084
U.S.A.
877-236-4408 (tel)
801-256-9287 (fax)
www.caogroup.com
Expiration date:
MADE IN CHINA
[Side panels for the Patient Pack]
SheerDesenZ
Active Ingredient: Potassium nitrate, 12mg/film
Other Ingredients: Proprietary polymer, water/eau, xylitol, glycerin, poly(acrylic acid), peppermint oil, sucralose, potassium hydroxide
NDC#:<PHONE_NUMBER>
[Front side of patient instruction card]
SheerDesenZ
Desensitizing Treatment
Simple.Comfort.Now
Disclaimer: CAO Group believes this information to be accurate and is offered only for the benefit of its customers for use of the product under proscribed conditions. This document is not to eb considered a warranty or guarantee of product performance, and CAO Group is not legally bound to such claims based on this document.
Shelf Life: 2 years
Manufactured by CAO (China) Medical Equipment Co., Ltd. for CAO Group, Inc.
4628 West Skyhawk Drive
West Jordan, UT 84084 U.S.A.
www.caogroup.comDescription
Sheer DesenZ™ desensitizing treatment is an easy, fast way to relieve oral pain and discomfort associated with dental procedures or even the hot/cold thermal changes teeth may experience. The thin, flexible film stays where it is placed molding to the teeth and gums to deliver relief exactly where it is needed. Yet it is easily removed when comfort is achieved.
Counter Indications
• Do not smoke while wearing the film.
• Avoid eating while wearing the film.
• Flush with copious amounts of water if accidentally placed in eye.
• Keep out of reach of young children.
• Avoid contact with clothing.
Instructions
[Complete Instructions Back Page]
Caution: Federal law restricts this device to sale by or on the order of a licensed professional.
Disclaimer: CAO Group believes this information to be accurate and is offered only for the benefit of its customers for use of the product under proscribed conditions. This document is not to be considered a warranty or guarantee of product performance, and CAO Group is not legally bound to such claims based on this document.
Manufactured by CAO (China) Medical Equipment Co,. Ltd. for
CAO Group, Inc.
P<PHONE_NUMBER> F<PHONE_NUMBER>
4628 West Skyhawk Drive, West Jordan, UT 84084-4501 U.S.A.
www.caogroup.com
13 Sept 2010
SAL-CAI010 B.1
|
SHEERDESENZ
DESENSITIZING TREATMENT potassium nitrate film | ||||||||||||||||||||
| ||||||||||||||||||||
| ||||||||||||||||||||
| ||||||||||||||||||||
| ||||||||||||||||||||
| ||||||||||||||||||||
|
| Labeler - CAO Group, Inc. (102422578) |


A beautifull collection of Patterns
This Pattern is taken from unsplash.com. It was taken in Canada
This Pattern is taken from unsplash.com. It was taken in Spain
This Pattern is taken from unsplash.com. It was taken in Brazil


|
Team 302 Robot
|
#include <DragonPositionSensor.h>
Public Member Functions | |
| DragonPositionSensor ()=delete | |
| DragonPositionSensor (IDragonAnglePositionSensor *angleSensor, double diameter) | |
| ~DragonPositionSensor () | |
| double | GetDistance () |
| void | ResetDistance () |
| void | ResetDistance (double distance) |
| double | GetDistanceConfidence () |
Class: IDragonPositionSensor Description: This provides a common set of methods for all sensors that measure the distance/position a mechanism has moved.
Definition at line 34 of file DragonPositionSensor.h.
|
delete |
| DragonPositionSensor::DragonPositionSensor | ( | IDragonAnglePositionSensor * | angleSensor, |
| double | diameter | ||
| ) |
Class: IDragonPositionSensor Description: This provides a common set of methods for all sensors that measure the distance/position a mechanism has moved.
Method: DragonPositionSensor
| diameter | - angle sensor - diameter of the rotating item |
Definition at line 42 of file DragonPositionSensor.cpp.
| DragonPositionSensor::~DragonPositionSensor | ( | ) |
Method: ~IDragonPositionSensor
Method: ~IDragonPositionSensor
if ( m_angleSensor != nullptr ) { delete m_angleSensor; m_angleSensor = nullptr; }
Definition at line 60 of file DragonPositionSensor.cpp.
| double DragonPositionSensor::GetDistance | ( | ) |
Method: GetDistance Description: Return the measured distance in inches
Method: GetDistance Description: Return the measured distance in inches
Definition at line 77 of file DragonPositionSensor.cpp.
| double DragonPositionSensor::GetDistanceConfidence | ( | ) |
Method: GetDistanceConfidence Description: Indicates how accurate the returned distance is Returns: double 0.0 == ignore (sensor has an error)
Method: GetDistanceConfidence Description: Indicates how accurate the returned distance is Returns: double 0.0 == ignore (sensor has an error)
Definition at line 124 of file DragonPositionSensor.cpp.
| void DragonPositionSensor::ResetDistance | ( | ) |
Method: ResetDistance Description: Reset the current distance to 0 inches
Method: ResetDistance Description: Reset the current distance to 0 inches
Definition at line 95 of file DragonPositionSensor.cpp.
| void DragonPositionSensor::ResetDistance | ( | double | distance | ) |
Method: ResetDistance Description: Reset the current distance to a known distance
Method: ResetDistance Description: Reset the current distance to a known distance
| distance | - value for the current distance in inches |
Definition at line 106 of file DragonPositionSensor.cpp.


About OpenSE 2021
n 2020, the 8th Workshop on Software Visualization, Evolution and Maintenance (VEM 2020) edition will be held, for the first time, in a virtual format. VEM builds upon the success of the first editions of VEM, which in turn followed after two editions of the Brazilian Workshop on Software Visualization (WBVS) and ten editions of the Brazilian Workshop on Software Maintenance (WMSWM).
Aims and Scope
The growing need for maintaining and evolving software systems is a major challenge in modern software engineering. Several studies have shown that maintenance tasks are responsible for a substantial cost in the software development process, sometimes reaching 90% of the total cost. The pressure for faster development and releases of new software versions has also increased the interest in software evolution and maintenance throughout the years. Besides, there is an increasing investment in these activities since the advent of execution environments (e.g., Web computing, ubiquitous computing, and cloud computing), development paradigms (e.g., Feature-Oriented Programming, Service-Oriented Architecture, DevOps) and new types of media (e.g., mobile devices, gesture-based interfaces etc.). In order to perform maintenance and evolution tasks in complex software systems, developers must resort to advanced means for understanding the software artifacts to be modified. Software comprehension, however, is a non-trivial task. In this scenario, software visualization becomes an interesting resource, relying on the use of visual abstractions to facilitate comprehension of software systems under several viewpoints, representing structural, behavioral, and time-based aspects of software. The clear intersection between Software Visualization, Software Evolution, and Software Maintenance led to the creation of an event where researchers can discuss challenges in these fields and work together to overcome them. The 8th Workshop on Software Visualization, Maintenance, and Evolution (VEM 2020) aims at bringing together the research communities interested in topics related to Software Visualization, Software Evolution, and Software Maintenance to share and discuss ideas, reflecting on alternatives to perform visualization, evolution, and maintenance of software systems. VEM is also a great opportunity for strengthening research group collaborations, as well as identifying new research opportunities. VEM is co-located with the 11th Brazilian Conference on Software: Theory and Practice (CBSoft 2020).
Dates
All dates refer to midnight 23:59:59 AoE
| Paper Submission | 01/01/21 |
| Author Notification: | 01/01/21 |
| Camera-Ready Copies: | 01/01/21 |
| Workshop Date: | 01/01/21 |
Renan Augusto Leonel
Pedro Henrique de Melo Costa


| Interface | Description |
|---|---|
| Functor<T> |
Interface of functors that wrap values of type T and allow their mapping with
Functor.map(Function) . |
| Monad<T,M extends Monad<?,M>> |
Interface of a
Functor extension that provides the monadic method
Monad.flatMap(Function) for transformation into derived monads. |
| Class | Description |
|---|---|
| Call<T> |
A
Monad implementation for deferred (lazy) function calls that will
either supply a value or fail with an exception. |
| Option<T> |
A
Monad implementation for optional values. |
| Promise<T> |
A monad that promises to provide a value, typically asynchronously after some
background computation.
|
| Promise.PromiseFuture<T> |
A future implementation that wraps a promise.
|
| Try<T> |
A
Monad implementation for the attempted execution of value-supplying
operations that may fail with an exception. |
| Enum | Description |
|---|---|
| Promise.State |
Enumeration of the possible states a promise can have.
|


About Me
Hello there! Before talking about qualifications and professional abilities, I would like to introduce myself. I am El Kanfoudi Younes and I am from Morocco. Taking software & web development as a profession not only fulfils my pocket but also my heart because it has been my passion since my early teenage.
I believe that people should do things in which they are good at or in which their heart lays. That’s why I chose freelance web development as my career because I believe I’m good at this and I am always honest and I am never afraid of doing hard work.
I have finished my graduation from The University of (Ecole normale supérieure-Tetouan,Morocco) on Software & Web Development and I have taken many lessons on modern web designing from famous institutions. My education background allowed me to thrive in this career and my trainings on this have made me a master of this section.


Rich & Rare
1965, Islay (Scotland)
{{ define "main" }}
1965, Islay (Scotland)
1965, Islay (Scotland)
1965, Islay (Scotland)
1965, Islay (Scotland)
1965, Islay (Scotland)
1965, Islay (Scotland)
1965, Islay (Scotland)
1965, Islay (Scotland)
There are currently nine working distilleries on Islay. The first recorded distillery was Bowmore, founded in 1779. Islay’s distilleries are spread across the island- Ardbeg, Lagavulin and Laphroaig are collectively known as the Kildalton Distilleries.
1965, Islay (Scotland)
1965, Islay (Scotland)
1965, Islay (Scotland)
Whisky
1965
Single Malt
39 Years
Scotland
1 out of 261
Region
700 ml
Ardbeg
Own Bottling
42.1%
3678 & 3679
1965, Islay (Scotland)
1965, Islay (Scotland)
Whisky
1965
Single Malt
39 Years
Scotland
1 out of 261
Region
700 ml
Ardbeg
Own Bottling
42.1%
3678 & 3679
140 GBP
140
19320 GBP
24500 GBP
Buy Drams£ 500.5 / unit


About
Contact
Tyler Franklin
Professional Full Stack Developer
I'm a kickass developer specializing in AngularJS and Rails.
My Work
My Posts
Learning Rails pt. 1
August 29, 2017
Read more »
Starting with Bloc pt. 2
May 3, 2017
Read more »
Starting with Bloc pt. 1
May 3, 2017
Read more »
My Journey to Programming
May 3, 2017
Read more »


See: Description
| Class | Description |
|---|---|
| AbstractKeepDataVerticle |
Base verticle for all data retrieving verticles Contains all common methods, ideally the subsclasses only differ in name
|
| AbstractKeepVerticle |
Extension of a standard verticle with helper methods for common tasks tracks eventbus listners and unloads them at shutdown
|
| AgentSchedulerServiceVerticle |
Service verticle for running agents asynchronously
|
| DatabaseServiceVerticle |
Service Verticle that handles all things around Design extraction and update using DXL.
|
| DominoDefaultVerticle |
Handles all Standard Domino requests
|
| HttpListener |
Main HTTP Interface for all things keep including the static Admin UI
|
All Verticles, short of launch that constitute the Keep Runtime


--- layout: post title: "My Week in Review" date: 2018-01-14 08:10:00 +0000 tags: image: https://s3.amazonaws.com/hackedu/2018-01-05-pigeon.jpg imagecredits: https://www.flickr.com/photos/birkancaghan/16612869791 ---
Icon credits: The Noun Project


Across: 1. Pat fair creation - something sweet (7) 5. Change a recipe with 27 based ingredient (7) 9. Extra run taken at regime change (9) 10. Business firm with a source of 27 (5) 11. Sounding like I'm hysterical for something sweet (3 5) 12. Finally trap Wild Mob X (6) 15. Dubious hoder of marbles title has Belgian Arts degree stripped (5) 17. Wandering after it in oriental rave (9) 19. Could Don do jamb fixing? He could do lots of things! (3-3 3) 20. Report packed with cuter composition (5) 21. Forget the Grand - boldly reclaim something sweet (6) 23. Intimates thieves? (8) 26. Hellish dental treatment sounds the end of 5 (5) 27. Act cool ... he certainly can give you the good stuff! (9) 28. Sporting silly cap, nerd hopped about (7) 29. Mesh entangling the fins (7) Down: 1. Gain eastern job with something sweet (11) 2. Mere greed oddly came back into the open (9) 3. Agent, or client thereof? (5) 4. As art framer, I composed a solid setting (5 5) 5. Reportedly address two points after start of monopoly (4) 6. System so content with such legal deals? (2 7) 7. California has approximately zero plant for 27 production (5) 8. Age of limited veracity (3) 13. 27 preparation style stirring mixed emotions (11) 14. Service for hearing impaired is defective at end of report (7 3) 16. Lithe coin forging in the late stone age? (9) 18. A sweet bitterness, or just a sharp stabbing sensation? (5 4) 22. Animal turned a shopping centre upside down (5) 24. Quick treats - no time for scotch cocktail (5) 25. Done and dusted, perhaps, but decision partly reversed (4) 26. Dental deficiency in treating a patient (3)


jquery-flipbook demo
But when we’re discussing our goals, our passion and the way we interact with the culture, it seems to me that what works is significantly more important than what’s new. Racing to build your organization around the latest social network tool or graphics-rendering technology permits you to spend a lot of time learning the new system and skiing in the fresh powder of the unproven, but it might just distract you from the difficult work of telling the truth, looking people in the eye and making a difference.
1
The same is true of design trends. Many — not all, maybe not even most, but many — of the complaints I see about iOS, for example, boil down to it being familiar. It no longer scratches our itch for new. Apple needs to scratch that itch for us eventually or someone else will, but it’s essential that they find something new and better, not merely new and different.
2
And most importantly it is Facebook, a company that is known to have played loose-and-easy with consumer privacy and data since its very inception, asking for forgiveness whenever we caught them with its hand in the cookie jar. I don’t think we can be that forgiving or reactive with Facebook on mobile.
3
Clean, beautiful design, and what looks to be the smoothest and most organic animation and playfulness on Android ever.
4
As long as we are recapitulating history — the main reason we built a new multiprocess architecture is that Chromium’s multiprocess support was never contributed to the WebKit project. It has always lived in the separate Chromium tree, making it pretty hard to use for non-Chrome purposes.
5
“Google achieved its dominance in the smartphone operating system market by giving Android to device-makers for ‘free’. But in reality, Android phone makers who want to include must-have Google apps such as Maps, YouTube or Play are required to pre-load an entire suite of Google mobile services and to give them prominent default placement on the phone,” the group argued. There’s nothing “must-have” about these apps. They’re want-to-have. The ease of producing and existence of un-Googled Android forks (Kindle Fire, all those phones in China) refutes the premise.
6
“Google achieved its dominance in the smartphone operating system market by giving Android to device-makers for ‘free’. But in reality, Android phone makers who want to include must-have Google apps such as Maps, YouTube or Play are required to pre-load an entire suite of Google mobile services and to give them prominent default placement on the phone,” the group argued. There’s nothing “must-have” about these apps. They’re want-to-have. The ease of producing and existence of un-Googled Android forks (Kindle Fire, all those phones in China) refutes the premise.
7


Source code for networkx.algorithms.link_analysis.pagerank_alg
"""PageRank analysis of graph structure. """
# Copyright (C) 2004-2018 by
# Aric Hagberg<EMAIL_ADDRESS># Dan Schult<EMAIL_ADDRESS># Pieter Swart<EMAIL_ADDRESS># All rights reserved.
# BSD license.
# NetworkX:http://networkx.github.io/
import networkx as nx
from networkx.utils import not_implemented_for
__author__ = """\n""".join(["Aric Hagberg<EMAIL_ADDRESS>"Brandon Liu<EMAIL_ADDRESS>__all__ = ['pagerank', 'pagerank_numpy', 'pagerank_scipy', 'google_matrix']
[docs]@not_implemented_for('multigraph')
def pagerank(G, alpha=0.85, personalization=None,
max_iter=100, tol=1.0e-6, nstart=None, weight='weight',
dangling=None):
"""Return the PageRank of the nodes in the graph.
PageRank computes a ranking of the nodes in the graph G based on
the structure of the incoming links. It was originally designed as
an algorithm to rank web pages.
Parameters
----------
G : graph
A NetworkX graph. Undirected graphs will be converted to a directed
graph with two directed edges for each undirected edge.
alpha : float, optional
Damping parameter for PageRank, default=0.85.
personalization: dict, optional
The "personalization vector" consisting of a dictionary with a
key some subset of graph nodes and personalization value each of those.
At least one personalization value must be non-zero.
If not specfiied, a nodes personalization value will be zero.
By default, a uniform distribution is used.
max_iter : integer, optional
Maximum number of iterations in power method eigenvalue solver.
tol : float, optional
Error tolerance used to check convergence in power method solver.
nstart : dictionary, optional
Starting value of PageRank iteration for each node.
weight : key, optional
Edge data key to use as weight. If None weights are set to 1.
dangling: dict, optional
The outedges to be assigned to any "dangling" nodes, i.e., nodes without
any outedges. The dict key is the node the outedge points to and the dict
value is the weight of that outedge. By default, dangling nodes are given
outedges according to the personalization vector (uniform if not
specified). This must be selected to result in an irreducible transition
matrix (see notes under google_matrix). It may be common to have the
dangling dict to be the same as the personalization dict.
Returns
-------
pagerank : dictionary
Dictionary of nodes with PageRank as value
Examples
--------
>>> G = nx.DiGraph(nx.path_graph(4))
>>> pr = nx.pagerank(G, alpha=0.9)
Notes
-----
The eigenvector calculation is done by the power iteration method
and has no guarantee of convergence. The iteration will stop after
an error tolerance of ``len(G) * tol`` has been reached. If the
number of iterations exceed `max_iter`, a
:exc:`networkx.exception.PowerIterationFailedConvergence` exception
is raised.
The PageRank algorithm was designed for directed graphs but this
algorithm does not check if the input graph is directed and will
execute on undirected graphs by converting each edge in the
directed graph to two edges.
See Also
--------
pagerank_numpy, pagerank_scipy, google_matrix
Raises
------
PowerIterationFailedConvergence
If the algorithm fails to converge to the specified tolerance
within the specified number of iterations of the power iteration
method.
References
----------
.. [1] A. Langville and C. Meyer,
"A survey of eigenvector methods of web information retrieval."
http://citeseer.ist.psu.edu/713792.html
.. [2] Page, Lawrence; Brin, Sergey; Motwani, Rajeev and Winograd, Terry,
The PageRank citation ranking: Bringing order to the Web. 1999
http://dbpubs.stanford.edu:8090/pub/showDoc.Fulltext?lang=en&doc=1999-66&format=pdf
"""
if len(G) == 0:
return {}
if not G.is_directed():
D = G.to_directed()
else:
D = G
# Create a copy in (right) stochastic form
W = nx.stochastic_graph(D, weight=weight)
N = W.number_of_nodes()
# Choose fixed starting vector if not given
if nstart is None:
x = dict.fromkeys(W, 1.0 / N)
else:
# Normalized nstart vector
s = float(sum(nstart.values()))
x = dict((k, v / s) for k, v in nstart.items())
if personalization is None:
# Assign uniform personalization vector if not given
p = dict.fromkeys(W, 1.0 / N)
else:
s = float(sum(personalization.values()))
p = dict((k, v / s) for k, v in personalization.items())
if dangling is None:
# Use personalization vector if dangling vector not specified
dangling_weights = p
else:
s = float(sum(dangling.values()))
dangling_weights = dict((k, v / s) for k, v in dangling.items())
dangling_nodes = [n for n in W if W.out_degree(n, weight=weight) == 0.0]
# power iteration: make up to max_iter iterations
for _ in range(max_iter):
xlast = x
x = dict.fromkeys(xlast.keys(), 0)
danglesum = alpha * sum(xlast[n] for n in dangling_nodes)
for n in x:
# this matrix multiply looks odd because it is
# doing a left multiply x^T=xlast^T*W
for nbr in W[n]:
x[nbr] += alpha * xlast[n] * W[n][nbr][weight]
x[n] += danglesum * dangling_weights.get(n, 0) + (1.0 - alpha) * p.get(n, 0)
# check convergence, l1 norm
err = sum([abs(x[n] - xlast[n]) for n in x])
if err < N * tol:
return x
raise nx.PowerIterationFailedConvergence(max_iter)
[docs]def google_matrix(G, alpha=0.85, personalization=None,
nodelist=None, weight='weight', dangling=None):
"""Return the Google matrix of the graph.
Parameters
----------
G : graph
A NetworkX graph. Undirected graphs will be converted to a directed
graph with two directed edges for each undirected edge.
alpha : float
The damping factor.
personalization: dict, optional
The "personalization vector" consisting of a dictionary with a
key some subset of graph nodes and personalization value each of those.
At least one personalization value must be non-zero.
If not specfiied, a nodes personalization value will be zero.
By default, a uniform distribution is used.
nodelist : list, optional
The rows and columns are ordered according to the nodes in nodelist.
If nodelist is None, then the ordering is produced by G.nodes().
weight : key, optional
Edge data key to use as weight. If None weights are set to 1.
dangling: dict, optional
The outedges to be assigned to any "dangling" nodes, i.e., nodes without
any outedges. The dict key is the node the outedge points to and the dict
value is the weight of that outedge. By default, dangling nodes are given
outedges according to the personalization vector (uniform if not
specified) This must be selected to result in an irreducible transition
matrix (see notes below). It may be common to have the dangling dict to
be the same as the personalization dict.
Returns
-------
A : NumPy matrix
Google matrix of the graph
Notes
-----
The matrix returned represents the transition matrix that describes the
Markov chain used in PageRank. For PageRank to converge to a unique
solution (i.e., a unique stationary distribution in a Markov chain), the
transition matrix must be irreducible. In other words, it must be that
there exists a path between every pair of nodes in the graph, or else there
is the potential of "rank sinks."
This implementation works with Multi(Di)Graphs. For multigraphs the
weight between two nodes is set to be the sum of all edge weights
between those nodes.
See Also
--------
pagerank, pagerank_numpy, pagerank_scipy
"""
import numpy as np
if nodelist is None:
nodelist = list(G)
M = nx.to_numpy_matrix(G, nodelist=nodelist, weight=weight)
N = len(G)
if N == 0:
return M
# Personalization vector
if personalization is None:
p = np.repeat(1.0 / N, N)
else:
p = np.array([personalization.get(n, 0) for n in nodelist], dtype=float)
p /= p.sum()
# Dangling nodes
if dangling is None:
dangling_weights = p
else:
# Convert the dangling dictionary into an array in nodelist order
dangling_weights = np.array([dangling.get(n, 0) for n in nodelist],
dtype=float)
dangling_weights /= dangling_weights.sum()
dangling_nodes = np.where(M.sum(axis=1) == 0)[0]
# Assign dangling_weights to any dangling nodes (nodes with no out links)
for node in dangling_nodes:
M[node] = dangling_weights
M /= M.sum(axis=1) # Normalize rows to sum to 1
return alpha * M + (1 - alpha) * p
[docs]def pagerank_numpy(G, alpha=0.85, personalization=None, weight='weight',
dangling=None):
"""Return the PageRank of the nodes in the graph.
PageRank computes a ranking of the nodes in the graph G based on
the structure of the incoming links. It was originally designed as
an algorithm to rank web pages.
Parameters
----------
G : graph
A NetworkX graph. Undirected graphs will be converted to a directed
graph with two directed edges for each undirected edge.
alpha : float, optional
Damping parameter for PageRank, default=0.85.
personalization: dict, optional
The "personalization vector" consisting of a dictionary with a
key some subset of graph nodes and personalization value each of those.
At least one personalization value must be non-zero.
If not specfiied, a nodes personalization value will be zero.
By default, a uniform distribution is used.
weight : key, optional
Edge data key to use as weight. If None weights are set to 1.
dangling: dict, optional
The outedges to be assigned to any "dangling" nodes, i.e., nodes without
any outedges. The dict key is the node the outedge points to and the dict
value is the weight of that outedge. By default, dangling nodes are given
outedges according to the personalization vector (uniform if not
specified) This must be selected to result in an irreducible transition
matrix (see notes under google_matrix). It may be common to have the
dangling dict to be the same as the personalization dict.
Returns
-------
pagerank : dictionary
Dictionary of nodes with PageRank as value.
Examples
--------
>>> G = nx.DiGraph(nx.path_graph(4))
>>> pr = nx.pagerank_numpy(G, alpha=0.9)
Notes
-----
The eigenvector calculation uses NumPy's interface to the LAPACK
eigenvalue solvers. This will be the fastest and most accurate
for small graphs.
This implementation works with Multi(Di)Graphs. For multigraphs the
weight between two nodes is set to be the sum of all edge weights
between those nodes.
See Also
--------
pagerank, pagerank_scipy, google_matrix
References
----------
.. [1] A. Langville and C. Meyer,
"A survey of eigenvector methods of web information retrieval."
http://citeseer.ist.psu.edu/713792.html
.. [2] Page, Lawrence; Brin, Sergey; Motwani, Rajeev and Winograd, Terry,
The PageRank citation ranking: Bringing order to the Web. 1999
http://dbpubs.stanford.edu:8090/pub/showDoc.Fulltext?lang=en&doc=1999-66&format=pdf
"""
import numpy as np
if len(G) == 0:
return {}
M = google_matrix(G, alpha, personalization=personalization,
weight=weight, dangling=dangling)
# use numpy LAPACK solver
eigenvalues, eigenvectors = np.linalg.eig(M.T)
ind = np.argmax(eigenvalues)
# eigenvector of largest eigenvalue is at ind, normalized
largest = np.array(eigenvectors[:, ind]).flatten().real
norm = float(largest.sum())
return dict(zip(G, map(float, largest / norm)))
[docs]def pagerank_scipy(G, alpha=0.85, personalization=None,
max_iter=100, tol=1.0e-6, weight='weight',
dangling=None):
"""Return the PageRank of the nodes in the graph.
PageRank computes a ranking of the nodes in the graph G based on
the structure of the incoming links. It was originally designed as
an algorithm to rank web pages.
Parameters
----------
G : graph
A NetworkX graph. Undirected graphs will be converted to a directed
graph with two directed edges for each undirected edge.
alpha : float, optional
Damping parameter for PageRank, default=0.85.
personalization: dict, optional
The "personalization vector" consisting of a dictionary with a
key some subset of graph nodes and personalization value each of those.
At least one personalization value must be non-zero.
If not specfiied, a nodes personalization value will be zero.
By default, a uniform distribution is used.
max_iter : integer, optional
Maximum number of iterations in power method eigenvalue solver.
tol : float, optional
Error tolerance used to check convergence in power method solver.
weight : key, optional
Edge data key to use as weight. If None weights are set to 1.
dangling: dict, optional
The outedges to be assigned to any "dangling" nodes, i.e., nodes without
any outedges. The dict key is the node the outedge points to and the dict
value is the weight of that outedge. By default, dangling nodes are given
outedges according to the personalization vector (uniform if not
specified) This must be selected to result in an irreducible transition
matrix (see notes under google_matrix). It may be common to have the
dangling dict to be the same as the personalization dict.
Returns
-------
pagerank : dictionary
Dictionary of nodes with PageRank as value
Examples
--------
>>> G = nx.DiGraph(nx.path_graph(4))
>>> pr = nx.pagerank_scipy(G, alpha=0.9)
Notes
-----
The eigenvector calculation uses power iteration with a SciPy
sparse matrix representation.
This implementation works with Multi(Di)Graphs. For multigraphs the
weight between two nodes is set to be the sum of all edge weights
between those nodes.
See Also
--------
pagerank, pagerank_numpy, google_matrix
Raises
------
PowerIterationFailedConvergence
If the algorithm fails to converge to the specified tolerance
within the specified number of iterations of the power iteration
method.
References
----------
.. [1] A. Langville and C. Meyer,
"A survey of eigenvector methods of web information retrieval."
http://citeseer.ist.psu.edu/713792.html
.. [2] Page, Lawrence; Brin, Sergey; Motwani, Rajeev and Winograd, Terry,
The PageRank citation ranking: Bringing order to the Web. 1999
http://dbpubs.stanford.edu:8090/pub/showDoc.Fulltext?lang=en&doc=1999-66&format=pdf
"""
import scipy.sparse
N = len(G)
if N == 0:
return {}
nodelist = list(G)
M = nx.to_scipy_sparse_matrix(G, nodelist=nodelist, weight=weight,
dtype=float)
S = scipy.array(M.sum(axis=1)).flatten()
S[S != 0] = 1.0 / S[S != 0]
Q = scipy.sparse.spdiags(S.T, 0, *M.shape, format='csr')
M = Q * M
# initial vector
x = scipy.repeat(1.0 / N, N)
# Personalization vector
if personalization is None:
p = scipy.repeat(1.0 / N, N)
else:
p = scipy.array([personalization.get(n, 0) for n in nodelist], dtype=float)
p = p / p.sum()
# Dangling nodes
if dangling is None:
dangling_weights = p
else:
# Convert the dangling dictionary into an array in nodelist order
dangling_weights = scipy.array([dangling.get(n, 0) for n in nodelist],
dtype=float)
dangling_weights /= dangling_weights.sum()
is_dangling = scipy.where(S == 0)[0]
# power iteration: make up to max_iter iterations
for _ in range(max_iter):
xlast = x
x = alpha * (x * M + sum(x[is_dangling]) * dangling_weights) + \
(1 - alpha) * p
# check convergence, l1 norm
err = scipy.absolute(x - xlast).sum()
if err < N * tol:
return dict(zip(nodelist, map(float, x)))
raise nx.PowerIterationFailedConvergence(max_iter)
# fixture for nose tests
def setup_module(module):
from nose import SkipTest
try:
import numpy
except:
raise SkipTest("NumPy not available")
try:
import scipy
except:
raise SkipTest("SciPy not available")


File system notes is modern notational velocity (nvALT) on steroids for macOS and iOS
Application respects open formats: plain/text, markdown, rtf, and stores data in file system. You can view, edit, copy data in favourite external editor and see live results in FSNotes.
Pricing
FSNotes is an open source project, and is provided for free, but you can support development by buying application in Mac App Store for symbolic price.
No subscriptions ever.
Features
macOS app
- keyboard centric
- global shortcuts (clipboard save / search)
- markdown and RTF markup (files stored on disk as plain/text and rich text)
- markdown preview mode
- elastic two pane view (vertical and horizontal layout)
- blazing fast and lightweight (working fine with 10k+ files)
- open files in finder / works with external editors (changes seamless live sync with UI)
- pin/unpin important notes in top
- synchronization over iCloud Drive / Dropbox
- multi folder storage
- fast copy markdown code to clipboard
- live markdown highlighting with code blocks (over 170 languages)
- themes for code highlighting
- markdown images preview in editor
- images drag and drop
- tags
iOS app
- iCloud Drive support (Files.app folder available)
- Fast note creation (3DTouch + configurable default keyboard)
- Pin/unpin with macOS companion sync
- RTF and Markdown markup
- Markdown editor with highlighting (code blocks too)
- Search with keywords highlighting
- Sharing extension
GitHub
Bugs and requests
Twitter
https://twitter.com/fsnotesapp
Telegram group
https://t.me/joinchat/Aqckw1ZxoIGZkpmAvCh1cQ
E-mail<EMAIL_ADDRESS>Hall of fame 🏆
Special thanks for contribution to FSNotes:
@jeff-h, @gingerbeardman, @baranpirincal, @peavine, @buddax2


|
HPE Content Manager SDK 8.3
|
A helper class that allows you to iterate through enum item values and access captions for them. More...
Public Member Functions | |
| EnumItem (Enum within, int enumValue) | |
| Constructs an EnumItem corresponding to the specified enumValue within the specified enumeration. More... | |
| EnumItem (AllEnumerations within, int enumValue) | |
| Constructs an EnumItem corresponding to the specified enumValue within the specified enumeration. More... | |
| EnumItem (AllEnumerations within, int enumValue, Database forDatabase) | |
| Constructs an EnumItem corresponding to the specified enumValue within the specified enumeration. This form of constructor allows you to specify a database which is used to retrieve customised captions. More... | |
| Public Member Functions inherited from HP.HPTRIM.SDK.TrimSDKObject | |
| TrimSDKObject () | |
Properties | |
| Enum | Within [get] |
| Gets an AllEnumerations enum value indicating which TRIM Enumeration this EnumItem applies to. More... | |
| int | Value [get] |
| Gets an integer value indicating the value of this particular enumeration item. More... | |
| string | Name [get] |
| Returns a string containing the internal (uncaptioned) name for this e enumeration at the specified index of the collection. More... | |
| bool | IsValid [get] |
| Gets an boolean value indicating whether this EnumItem is actually valid. More... | |
| string | Caption [get, set] |
| Gets or sets a string containing the caption for this item. Note that to set a caption, this object must have been constructed with a valid Database parameter. To make caption changes permanent, call the SaveCaptionChanges method of the database More... | |
| Icons | Icon [get] |
| Gets the identifier of the TRIM icon associated with this enumerated item value. More... | |
| bool | HasBeenCustomised [get] |
| Gets a boolean value indicating whether the caption of this EnumItem has been customized by the user. More... | |
| bool | IsACustomValue [get] |
| Gets a boolean value indicating whether this item is a value that requires customisation. More... | |
| Properties inherited from HP.HPTRIM.SDK.TrimSDKObject | |
| string | ErrorMessage [get] |
| TrimException | Error [get] |
| All TRIM SDK objects have an Error property which can be used to examine any error that may have occurred in the most recent method call. More... | |
A helper class that allows you to iterate through enum item values and access captions for them.
| HP.HPTRIM.SDK.EnumItem.EnumItem | ( | Enum | within, |
| int | enumValue | ||
| ) |
Constructs an EnumItem corresponding to the specified enumValue within the specified enumeration.
| HP.HPTRIM.SDK.EnumItem.EnumItem | ( | AllEnumerations | within, |
| int | enumValue | ||
| ) |
Constructs an EnumItem corresponding to the specified enumValue within the specified enumeration.
| HP.HPTRIM.SDK.EnumItem.EnumItem | ( | AllEnumerations | within, |
| int | enumValue, | ||
| Database | forDatabase | ||
| ) |
Constructs an EnumItem corresponding to the specified enumValue within the specified enumeration. This form of constructor allows you to specify a database which is used to retrieve customised captions.
|
getset |
Gets or sets a string containing the caption for this item. Note that to set a caption, this object must have been constructed with a valid Database parameter. To make caption changes permanent, call the SaveCaptionChanges method of the database
|
get |
Gets a boolean value indicating whether the caption of this EnumItem has been customized by the user.
|
get |
Gets the identifier of the TRIM icon associated with this enumerated item value.
|
get |
Gets a boolean value indicating whether this item is a value that requires customisation.
|
get |
Gets an boolean value indicating whether this EnumItem is actually valid.
|
get |
Returns a string containing the internal (uncaptioned) name for this e enumeration at the specified index of the collection.
|
get |
Gets an integer value indicating the value of this particular enumeration item.


Dashboard
Transactions
Land Registration
Maps
Notifications
User Profile
5 Notifications
Search
Account
Dropdown
Log out
Date Tended


H.B. Woodrose & Syrian Rue
I got a package in the mail in the middle of spring break. It contained 50 HBW seeds and 2 oz. Syrian rue seeds. I immediately started on the lemon juice syrian rue extraction with about a heaping tablespoon of seeds. The plan was to take about 1/3 of the extraction on the following day.
I figured I would eat just one HBW seed while I was boiling the rue just to see if it would do anything to me. Well, not much effect but I could tell my mind was running a mile a minute and I was thinking of very neat creative ideas. After this started to subside, and my extraction was complete, I decided it would be a good idea to try out the syrian rue that night. So I drank one third of the concoction, and in about five minutes I started to feel this warm flushing sensation in my head and remember saying 'Wow, this is awesome.' So, I went and grabbed the rest of the syrian rue and drank it all. BIG MISTAKE!!!
 I half-stumbled to the bathroom and was pissing when I noticed I heard a fan running (the so-called carrier wave). I was wondering where it was coming from and went out to the living room, where the buzzing sound followed me, and asked my roomate if he heard it; of course, he said no. So I was starting to trip and went upstairs, I looked online for when I would peak after taking syrian rue. It was very hard to do, and eventually I gave up and I started to trip pretty hard only about a half hour into it.
It was not a very pleasant sensation anymore, great feelings of anxiety and paranoia began to set in. I decided to lay down on my bed because I also felt light-headed. I tripped worse and worse until I finally felt that I took too much and got up to puke. I came back to bed and looked at the time. Thinking that I had peaked I said to myself, 'It's ok, just wait it out, it'll all be over soon.' I try falling asleep, and it seems like I've been trying for about a half hour. I look at the clock again, and it says that two minutes have past.
 I stumble to the bathroom feeling as if I'm going to faint. Puke a bunch, go back to bed. I close my eyes and begin to see a cycle of flashing colors, Blue...Red...Green over and over. I manage to fall asleep again for about a half hour. Wake up, and notice things have gotten worse, I go to the bathroom and now I have to puke, I've got the shits, and I've got to piss. Worst feeling EVER. Go back to bed, try falling asleep, some very cool CEVs occur. One was a blue 3-D room with some creatures and a ladder (reminded me of HR Puff and Stuff even though I've never seen an episode).
Wake up an hour later and open my eyes. There's a frame around my eyes and whenever I move them, it flashes.  When I got up to go to the bathroom, I would think that I was farther along than I was, so I would have to stop for a second and jump back into my body.
 I started to think about my home and how I didn't get along too well with my parents, but it was all my fault.  Woke up about two hours later, still seeing the 'eye-frame' and tracers, but the tripping sensation was gone.
Woke up again about three hours later, everything seemed normal but I still was seeing tracers and started to get worried because of what I had read about HPPD and I thought I was going to be f**ked for life. This really didn't matter in the scheme of things though, because I didn't die overnight. Luckily, the tracers subsided in another three hours, and I thought I was in the clear. The next day, I started to feel funny again, maybe because of what I ate. I decided to sleep it off instead of dealing with it. At school a few days later I started to flashback again, but luckily I got it to stop. Now, I think I'm actually still seeing tracers, I thought it was like normal at first, but it's not. They don't interfere with my daily life though, so that's a plus.
So, my trip lasted about 6 hours, with afterimages for another 6, and tracers that will probably last a lifetime. I don't think I would have taken that much rue if I wouldn't have take LSA right before. It must have lowered my inhibitions. In short, this was the worst I've ever felt in my entire life, and the closest to having a near death experience. Not all bad though, I am trying to get back on good terms with my family.

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.


class my_application {
class {'my_application::uninstall': } ->
class {'my_application::install': } ->
class {'my_application::configure': }
}
You define the end state.
Puppet works out how to get there.
class my_application {
package {'my_application':
ensure => '1.2.3-4',
}
file {'my_application_config':
ensure => 'present',
content => 'blah',
require => Package['my_application'],
}
service {'my_application_service':
ensure => 'running',
enabled => 'true',
subscribe => [Package['my_application'],File['my_application_config']],
}
}
Extracting tar files of your application?
Using Puppet as a fileserver?
RPM, DEB, etc. are your friends
Use FPM if you have to
class somemodule::someclass (
$a_parameter,
$another_parameter,
) {
# Define some stuff
}
What should these values be?
What happens if they are left undefined?
class somemodule::someclass (
Optional[String] $a_parameter,
Variant[Boolean, String] $another_parameter,
) {
# Define some stuff
}
Abstract data types in Puppet 4 and higher.
Use validate_ functions from stdlib if using Puppet < 4
Don't use Puppet < 4
package {'httpd':
ensure => 'latest',
}
service {'httpd':
ensure => 'running',
require => Package['httpd'],
}
What happens when httpd is updated in your repo?
package {'httpd':
ensure => 'installed',
}
service {'httpd':
ensure => 'running',
require => Package['httpd'],
}
package {'httpd':
ensure => '2.2.40-9',
}
service {'httpd':
ensure => 'running',
require => Package['httpd'],
}
Your data should stay external to your module code
Hiera is useful for keeping data outside of code
... which run every time the manifest is executed
Stringing lots of exec "statements" with ->
Remember it should be idempotent
... may not use puppet well.
May not be good practice
Refer to "well-written" modules
Look for other high quality modules on Puppet Forge
Particularly "Puppet Supported" and "Puppet Approved" modules
Ensure those unfamiliar with Puppet get their code reviewed by someone who is.
Especially useful for developers writing their own Puppet code.


On this page, you will find a collection of links to the best websites, videos, and an assortment of other study materials to boost your comprehension and retention of information, and maximize your performance in your AP classes. Please be mindful that prepbooks are one of the best resources when preparing for exams such as APs and SAT Subject tests; these resources are just supplements to their content.
- Quizlet: to be added
-to be added
-to be added
-to be added
-to be added


SnappyDB is a key-value database for Android it's an alternative for SQLite if you want to use a NoSQL approach.
It allows you to store and get primitive types, but also a Serializable object or array in a type-safe way.
SnappyDB can outperform SQLite in read/write operations.
SnappyDB is based on leveldb and use snappy compression algorithm, on redundant content you could achieve a good compression ratio
try { DB snappydb = DBFactory.open(context); //create or open an existing databse using the default name snappydb.put("name", "Jack Reacher"); snappydb.putInt("age", 42); snappydb.putBoolean("single", true); snappydb.put("books", new String[]{"One Shot", "Tripwire", "61 Hours"}); String name = snappydb.get("name"); int age = snappydb.getInt("age"); boolean single = snappydb.getBoolean("single"); String[] books = snappydb.getArray("books", String.class);// get array of string snappydb.close(); } catch (SnappydbException e) { }
For more recipes please take a look at the Cookbook.
Check out also the Demo App on The Play Store
With SnappyDB you could seamlessly store and retrieve your object/array, it uses Kryo serialization which it faster than regular Java serialization.
SnappyDB uses native code for performance, it's available for the three main architecture of Android: ARM, x86 and mips.
It is distributed as an Android Library Project
dependencies { compile 'com.snappydb:snappydb-lib:0.4.0' compile 'com.esotericsoftware.kryo:kryo:2.24.0' }
SnappyDB is opensource, contribution and feedback are welcomed
Copyright 2013 Nabil HACHICHA. 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.
© Nabil HACHICHA


Installation¶
dGen requires a Python 3 installation (>=3.6). Some computers (Macs and Linux) might already have this installed.
To ensure that the correct version of python is installed before proceeding run the following through a command line interface:
$ python --version
Python 3.6.1
If python is not installed, or an incorrect version is installed, it is recommended to install python using Anaconda.
Downloading dGen¶
You should already have a GitHub account and should have access to the GitHub Repo.
To download dGen, open your command line interface and run the following command.:
# Replace <USERNAME> with your GitHub username
$ git clone<EMAIL_ADDRESS>You will be asked for your GitHub password unless you have an ssh-key set-up. After entering your password, the dGen model will be downloaded into a new dgen_globetrotter/
folder.
Set-up a Virtual Environment¶
Once it is confirmed that Python 2.7 is installed and dGen is downloaded, specific package versions must be installed based on the python/requirements.txt
. The easiest way to ensure that the correct package versions are installed is by setting up a new environment.
Virtualenv
Virtualenv is a package to create isolated Python environments. This is likely the easiest way to setup dGen.
$ pip install virtualenv
#create a new environment
$ virtualenv env #a different name can be substituted for env
#activate the environment
$ source env/Scripts/activate
#move to the ‘python’ folder within ‘dgen_globetrotter/‘
$ cd python
#load the required Python packages from a file
(env)$ pip install -r requirements.txt
Anaconda
If you have familiarity using Anaconda, it is also possible to setup a new Python 2.7 environment through conda.
#create a new environment
$ conda create —name py2 python=2.7
#activate the environment
$ condo activate py2
#move to the ‘python’ folder within ‘dgen_globetrotter/‘
$ cd python
#load the required Python packages from a file
(py2)$ conda install —file requirements.txt


from collections import OrderedDict, namedtuple
from itertools import product
from operator import attrgetter
from cached_property import cached_property
from frozendict import frozendict
from devito.ir.support import Scope
from devito.logger import warning
from devito.parameters import configuration
from devito.types import LEFT, RIGHT
from devito.tools import Tag, as_mapper
__all__ = ['HaloScheme', 'HaloSchemeException']
[docs]class HaloSchemeException(Exception):
pass
class HaloLabel(Tag):
pass
NONE = HaloLabel('none')
UNSUPPORTED = HaloLabel('unsupported')
IDENTITY = HaloLabel('identity')
STENCIL = HaloLabel('stencil')
FULL = HaloLabel('full')
HaloSchemeEntry = namedtuple('HaloSchemeEntry', 'loc_indices halos')
Halo = namedtuple('Halo', 'dim side amount')
[docs]class HaloScheme(object):
"""
A HaloScheme describes a halo exchange pattern through a mapper: ::
M : Function -> HaloSchemeEntry
Where ``HaloSchemeEntry`` is a (named) 2-tuple: ::
({loc_indices}, ((Dimension, DataSide, amount), ...))
The tuples (Dimension, DataSide, amount) tell the amount of data that
a :class:`TensorFunction` should communicate along (a subset of) its
:class:`Dimension`s.
The dict ``loc_indices`` tells how to access/insert the halo along the
keyed Function's non-halo indices. For example, consider the
:class:`Function` ``u(t, x, y)``. Assume ``x`` and ``y`` require a halo
exchange. The question is: once the halo exchange is performed, at what
offset in ``t`` should it be placed? should it be at ``u(0, ...)`` or
``u(1, ...)`` or even ``u(t-1, ...)``? ``loc_indices`` has as many entries
as non-halo dimensions, and each entry provides symbolic information about
how to access the corresponding non-halo dimension. Thus, in this example
``loc_indices`` could be, for instance, ``{t: 0}`` or ``{t: t-1}``.
:param exprs: The :class:`IREq`s for which the HaloScheme is built.
:param ispace: A :class:`IterationSpace` describing the iteration
directions and the sub-iterators used by the ``exprs``.
:param dspace: A :class:`DataSpace` describing the ``exprs`` data
access pattern.
:param fmapper: (Optional) Alternatively, a HaloScheme can be built from a
set of known HaloSchemeEntry. If ``fmapper`` is provided,
then ``exprs``, ``ispace``, and ``dspace`` are ignored.
``fmapper`` is a dictionary having same format as ``M``, the
HaloScheme mapper defined at the top of this docstring.
"""
def __init__(self, exprs=None, ispace=None, dspace=None, fmapper=None):
if fmapper is not None:
self._mapper = frozendict(fmapper.copy())
return
self._mapper = {}
scope = Scope(exprs)
# *What* halo exchanges do we need?
classification = hs_classify(scope)
for f, v in classification.items():
# *How much* halo do we have to exchange?
halos = hs_comp_halos(f, [d for d, hl in v.items() if hl is STENCIL], dspace)
halos.extend(hs_comp_halos(f, [d for d, hl in v.items() if hl is FULL]))
# *What* are the local (i.e., non-halo) indices?
loc_indices = hs_comp_locindices(f, [d for d, hl in v.items() if hl is NONE],
ispace, dspace, scope)
if halos:
self._mapper[f] = HaloSchemeEntry(frozendict(loc_indices), tuple(halos))
self._mapper = frozendict(self._mapper)
def __repr__(self):
fnames = ",".join(i.name for i in set(self._mapper))
return "HaloScheme<%s>" % fnames
def __eq__(self, other):
return isinstance(other, HaloScheme) and self.fmapper == other.fmapper
def __hash__(self):
return self._mapper.__hash__()
@cached_property
def fmapper(self):
return OrderedDict([(i, self._mapper[i]) for i in
sorted(self._mapper, key=attrgetter('name'))])
@cached_property
def mask(self):
mapper = {}
for f, v in self.fmapper.items():
needed = [(i.dim, i.side) for i in v.halos]
for i in product(f.dimensions, [LEFT, RIGHT]):
if i[0] in v.loc_indices:
continue
mapper.setdefault(f, OrderedDict())[i] = i in needed
return mapper
def hs_classify(scope):
"""
Return a mapper ``Function -> (Dimension -> [HaloLabel]`` describing what
type of halo exchange is expected by the various :class:`TensorFunction`s
in a :class:`Scope`.
"""
mapper = {}
for f, r in scope.reads.items():
if not f.is_TensorFunction:
continue
elif f.grid is None:
# TODO: improve me
continue
v = mapper.setdefault(f, {})
for i in r:
for d in i.findices:
if i.affine(d):
if f.grid.is_distributed(d):
if i.touch_halo(d):
v.setdefault(d, []).append(STENCIL)
else:
v.setdefault(d, []).append(IDENTITY)
else:
v.setdefault(d, []).append(NONE)
elif i.is_increment:
# A read used for a distributed local-reduction. Users are expected
# to deal with this data access pattern by themselves, for example
# by resorting to common techniques such as redundant computation
v.setdefault(d, []).append(UNSUPPORTED)
elif i.irregular(d) and f.grid.is_distributed(d):
v.setdefault(d, []).append(FULL)
# Sanity check and reductions
for f, v in mapper.items():
for d, hl in list(v.items()):
unique_hl = set(hl)
if unique_hl == {STENCIL, IDENTITY}:
v[d] = STENCIL
elif len(unique_hl) == 1:
v[d] = unique_hl.pop()
else:
raise HaloSchemeException("Inconsistency found while building a halo "
"scheme for `%s` along Dimension `%s`" % (f, d))
# Drop functions needing no halo exchange
mapper = {f: v for f, v in mapper.items()
if any(i in [STENCIL, FULL] for i in v.values())}
# Emit a summary warning
for f, v in mapper.items():
unsupported = [d for d, hl in v.items() if hl is UNSUPPORTED]
if configuration['mpi'] and unsupported:
warning("Distributed local-reductions over `%s` along "
"Dimensions `%s` detected." % (f, unsupported))
return mapper
def hs_comp_halos(f, dims, dspace=None):
"""
Return an iterable of 3-tuples ``[(Dimension, DataSide, amount), ...]``
describing the amount of halo that should be exchange along the two sides of
a set of :class:`Dimension`s.
"""
halos = []
for d in dims:
if dspace is None:
# We cannot do anything better than exchanging the full halo
# in absence of more information
lsize = f._extent_halo[d].left
rsize = f._extent_halo[d].right
else:
# We can limit the amount of halo exchanged based on the stencil
# radius, which is dictated by `dspace`
v = dspace[f][d.root]
lower, upper = v.limits if not v.is_Null else (0, 0)
lsize = f._offset_domain[d].left - lower
rsize = upper - f._offset_domain[d].right
if lsize > 0:
halos.append(Halo(d, LEFT, lsize))
if rsize > 0:
halos.append(Halo(d, RIGHT, rsize))
return halos
def hs_comp_locindices(f, dims, ispace, dspace, scope):
"""
Map the :class:`Dimension`s in ``dims`` to the local indices necessary
to perform a halo exchange, as described in HaloScheme.__doc__.
Examples
--------
1) u[t+1, x] = f(u[t, x]) => shift == 1
2) u[t-1, x] = f(u[t, x]) => shift == 1
3) u[t+1, x] = f(u[t+1, x]) => shift == 0
In the first and second cases, the x-halo should be inserted at `t`,
while in the last case it should be inserted at `t+1`.
"""
loc_indices = {}
for d in dims:
func = max if ispace.is_forward(d.root) else min
loc_index = func([i[d] for i in scope.getreads(f)], key=lambda i: i-d)
if d.is_Stepping:
subiters = ispace.sub_iterators.get(d.root, [])
submap = as_mapper(subiters, lambda md: md.modulo)
submap = {i.origin: i for i in submap[f._time_size]}
try:
loc_indices[d] = submap[loc_index]
except KeyError:
raise HaloSchemeException("Don't know how to build a HaloScheme as the "
"stepping index `%s` is undefined" % loc_index)
else:
loc_indices[d] = loc_index
return loc_indices


| 128 | (A) | ȝitt did he Mirakiłłs maa . than I in mynde hafe |
| 123 | (C) | He dede of myracles mo . þen I haue in mynde |
| 124 | (D) | And ded of myraclis mo þan y in mynd have |
| 122 | (E) | he dede myracles mo . than y in mynde haue |
| (Ex) | ---- no text ---- | |
| 127 | (L) | Dide myracles many mo þan y in mynde haue |
| 121 | (P) | Dyd myracles ma . þan I in mynde hafe |
| 123 | (U) | he did of miracles mo / than I haue in mynde |
| (V) | ---- no text ---- |


Apply as Student
To be eligible to get a certificate you'll have to register for
Kshitij
; keep checking your inbox for a prompt from us once the registrations open.
{% for college in colleges %}
{% endfor %}
Can't find your college? No worries.
Mail us
and we'll add it.
×


I'm a student very interested in computer science, old computers, and more. I'm always interested to learn new things and explore complex concepts and carry great passion for the work I do. I write primarily in Java, but I've got some experience in Python, HTML, and CSS and I'm willing to learn if needed.
I mostly write code for robots, but I'm here to figure things out.
Find me on GitHub


---
layout: post
title: ! 'Handy Hack: How to make sudo credentials ''reset'''
tags:
- Linux
status: publish
type: post
published: true
meta: {}
---
Jonh Wendell mentions how to get the sudo program to insult you. If you want to test his hack, then after making the change issue sudo -k
which will reset your timestamp to epoch and force password entry the next time you use sudo.


---
layout: post
title: In the life is sweet, but fleeting department??? my two loves..
categories: []
tags:
- family
- love
status: publish
type: post
published: true
meta:
_original_post_id: ''
_original_import_author: John Duprey
author:
---
Working on my photo albums.. this one made me pause.. I remember that day??? ~6 years ago now..


China will support its firms in purchases of Airbus planes: Xinhua
SHANGHAI (Reuters) - China will support its firms’ purchases of Airbus (AIR.PA) planes, state news agency Xinhua said on Wednesday, citing commitments by French President Emmanuel Macron and Chinese President Xi Jinping during a meeting.
Macron is to meet Xi in Beijing on Wednesday, during his trip this week to China, where he has attended a major trade fair in Shanghai.
Xinhua added that the two nations agreed to work together to push forward the completion and delivery center program of the European planemaker’s A350 model, as well as step up Airbus’ investments in China.
China and France hope to boost cooperation, particularly in the helicopter sector as well as aircraft engines and pilot training, it said.


Home Theater
We can set up your home theater or game room so that everything is controlled by one remote or touchscreen tablet. The lights dim, the temperature is set for your comfort, you can even browse through your movie server and select the one you wish..
Multi Room Music
You want jazz in your study – the daughters want pop in their bedrooms – your son wants country in the den – it all works just fine and you can control it all from one place. Or if you’re giving a party, you can play the same music throughout the house and..
Home Automation
Imagine being able to Control your lights, garage doors, temperature, blinds, door locks, sprinklers, security system from your remote, TV, touch panels, tablets, computers and even from your mobile phone remotely. How about controlling some of these from..
Security & Surveillance
Want to look at the rooms in your home while you’re on vacation? Want to see who is at the front door while you’re in the basement? Want to be able to tell them you’ll be there in a few moments to let them in? Want to get a text message automatically when..
Wiring
Are you a builder/project manager looking for quality wiring in custom homes, apartments, condos, commercial complexes and office buildings? Are you a homeowner looking for custom options and advice on your wiring needs? We can work with you..
Sound Proofing
Dedicated media rooms could be loud if installed in a standard way. We have extensive experience sound proofing your media room, so the other rooms next to it have very little disturbance. We use techniques to reduce loud noises and low frequency..


Scrolled through: 0%
- Loading data…
Private Islands
Cars
Collapsible Group Item #3
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven't heard of them accusamus labore sustainable VHS.
Owned fam


{{settlement.game_assets.campaign.name}}
Gear & Resources may be stored without limit. Tap or click here to edit settlement storage.
A settlement can only have one Inspirational Statue.
Locations in your settlement.
The settlement's innovations (including weapon masteries).
Once per lantern year, spend 2 x Bone, 2 x hide, 2 x organ to research.
If you do, gain the next level of Lantern Research.
Corresponding Pulse Discoveries are displayed on the Campaign Summary view.
There can be up to 3 volumes for each monster.
The settlement's established principles.
Trigger these story events when milestone condition is met.
Use the button below to mark {{settlement.sheet.name}} as "Abandoned" to prevent it from showing up on your KDM-Manager dashboard. Abandoning a settlement does not remove it from the system.
This cannot be undone.
Use the button below to permanently delete {{settlement.sheet.name}}.
This will permanently delete all survivors associated with this settlement.
This cannot be undone.


YES, SIGN ME UP! Sign up for your Newsletter to get the latest from our world
YES,SIGN ME UP!By entering your email address, you agree to receive our offers, and promotions. We will not be sending you commercial messages. You may unsubscribe at any time. 2


We designed Holonix to avoid common and fundamental “works on my machine” style frustrations, by focusing on predictability.
It embodies lessons of the full spectrum from low level core development to ad-hoc beginner level hackathon explorations.
Minimal assumptions
Software projects typically make many assumptions about what the developer environment looks like.
This happens of the lack of tooling that reliably provides the necessary dependency and configuration management needed at the system level.
This is due to many factors:
- Package managers are locked to either a platform (max/linux/windows) or language (node/rust/etc.)
- Dependencies and configuration are often global so project needs bleed into each other, causing system degradation over time
- Package managers try to be “helpful” with versioning by tracking “latest” (e.g. brew on mac) or unpinned semver logic in upstream transitive dependencies
- Binaries look for shared libs that may or may not be installed or be changed by a third party without notice (e.g. Mac software updates)
- Package managers don’t audit the current system for inconsistencies after the initial install (or ad-hoc manual commands)
- Package managers are themselves running on unpinned and self-incompatible versions
- Many dependencies are missing or exist under different names and versions across different platform package managers
- People make mistakes during installation or the instructions they follow are inappropriate for their system
The bar is very high technically to setup and maintain development environments.
This is true of all software development. Even tightly controlled corporate environments often measure “onboarding” in days/weeks/months per person per project.
Open source projects can die simply because it is too hard to get people through the door and support them while they are here.
Case study: Monero
The Monero project github readme includes an example of a relatively well documented and supported depdendency list.
Around 20 different libraries are listed under different names and versions across debian/ubuntu, arch, and fedora platforms.
Some libraries are listed as “optional” but it is not clear what the consequences of not including each are.
A separate installation process is provided for homebrew on Mac.
Windows compilation is cross compiled from a POSIX emulator.
Only “minimum versions” of dependencies are listed. It is not clear whether semver major/minor/patch boundaries affect compatibility with the compiler.
A list of build status ranging from “unknown” to “failed” at the time of writing are shown at the top of the page.
A list of cross-compiled static binaries are provided near the bottom, but must be manually downloaded and placed on the user’s $PATH
(our experience is that most people can’t do this). A list of package manager integrations is provided only with an ominous security disclaimer at the top.
This is all to compile a single binary written in a single language, the Monero wallet.
This is for a well funded, security critical FOSS project with well known, vocal complaints from the community around onboarding and user experience.
As painful as this is, the typical open source experience is worse. No documentation, floating or missing dependencies, mixing and matching many different languages, and no thought to automated testing or cross-platform compilation or support.
Holonix approach
Holonix tries to avoid assuming things about the underlying system.
- It uses NixOS tooling to audit and automate fixing gaps
- It sets its own environment variables and configuration conventions
- It defines and provides dependencies where possible
- It prefers statically linked binaries
- It prefers project-local configuration and scripts
- It prefers explicitly pinned versions of direct and upstream dependencies


com.thinkaurelius.faunus.formats.edgelist.rdf.RDFInputFormat
The Semantic Web community is one of the original promoters of the graph as an approach to data modeling. Their efforts have led to the development of the RDF format. While there are many RDF formats, an RDF file is (conceptually) composed of triples whereby a subject is connected to an object by a predicate. For instance:
<http://thinkaurelius.com#hercules> <http://thinkaurelius.com#father> <http://thinkaurelius.com#jupiter> .
In this way, RDF is an edge list format. Faunus, on the other hand, makes use of an adjacency list in its representation. Therefore, for these two formats to interoperate, the RDFInputFormat
provided by Faunus contains a MapReduce job that converts an edge list into a adjacency list.
faunus.graph.input.rdf.format
There are numerous RDF formats. Faunus currently supports the following formats.
NOTE: Faunus makes use of LineRecordReader
to read statements from an RDF file. If a line (\n
) does not contain a complete legal RDF fragment, then an exception is thrown by the RDF parser.
faunus.graph.input.rdf.literal-as-property
There are two types of triples to be aware of — one that is a URI connecting to a URI and one that is a URI connecting to a literal. The two types of triples are exemplified below.
<http://thinkaurelius.com#hercules> <http://thinkaurelius.com#father> <http://thinkaurelius.com#jupiter> .
<http://thinkaurelius.com#hercules> <http://thinkaurelius.com#age> "32"^^<http://www.w3.org/2001/XMLSchema#int> .
If the above Faunus property is set to true
, then the Hercules vertex has an age property with an integer values of 32.
faunus.graph.input.rdf.use-localname
The theoretically infinite RDF graph is embedded with the infinite address space of URIs. In many situations, the full URI is not desired and as such, if the above property is set to true
, then
<http://thinkaurelius.com#hercules> <http://thinkaurelius.com#father> <http://thinkaurelius.com#jupiter> .
Generates vertices with name hercules
and jupiter
connected by a father
edge.
faunus.graph.input.rdf.as-properties
RDF is a triple format — there are no properties, only vertices and edges. In some situations, an object URI should be treated as a property of the vertex. For instance, when http://www.w3.org/1999/02/22-rdf-syntax-ns#type
is specified in the String
list of the property above, then the triple
<http://thinkaurelius.com#hercules> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://thinkaurelius.com#demigod>
yields a Hercules vertex with type-property demigod. A typical setting for this property is below.
faunus.input.format.rdf.as-properties=http://www.w3.org/1999/02/22-rdf-syntax-ns#type,http://www.w3.org/2000/01/rdf-schema#label


Veterans in software development even know the document things in waterfall projects.
Everything had to be specified and documented before at least a small progress has been made in developing...
Frequently, the huge documentation created was barely able to maintain and after a while always outdated.
In today's agile projects you meet just the opposite and listened very often the saying " In the code , the truth lies."
But what if a feature or a use case is very complex and in the course of time very strong converts - perhaps even with different roles and limitations ? How to still maintains in this case without documentation overview ? But again documented ala waterfall ? ... No thanks.
Here code2doc comes into play. );


Part of Unbox Labs: Caravan edition 2016
View the Project on GitHub {{ github_name }}
View My GitHub Profile


| Product | Description |
|---|---|
|
Merlin is the Avalon container Reference Implementation. The Merlin system is a container that provides comprehensive support for the management of complex component-based systems. Merlin uses a component meta-model to facilitate the automated assembly and deployment of simple and composite components. |
| Item | Description |
|---|---|
|
An overview of what containment means, the purpose of a container, and an introduction to the container/component contract. |
|
|
Within Avalon there has been a number of container solutions. This reflects a historical divergence and a present convergence within the area of containment technology within Avalon. This section provides an historical overview and referecnes to legacy content. |


{% extends "base.html" %} {% load bootstrap4 %} {% block content %} Home Data Sources Licences {{ licence.name }} Delete
Are you sure you want to delete this licence?


EBD - Easton Bible DIctionary
Finer
FINER
"FINER "a worker in silver and gold (
Proverbs 25:4
). In
Judges 17:4
the word (tsoreph) is rendered “founder,” and in
Isaiah 41:7
“goldsmith.”
"FINER "a worker in silver and gold (Proverbs 25:4). In Judges 17:4 the word (tsoreph) is rendered “founder,” and in Isaiah 41:7 “goldsmith.”


{{< layout}} {{$pageTitle}}Your name{{/pageTitle}} {{$header}}
If you want to add a new professional or honourary title to your passport you need to apply in a different way.
You’ll need to send extra documents to prove your change of name.


The create-qualification-type operation creates a new Qualification type, which is represented by a QualificationType data structure.
See also: AWS API Documentation
create-qualification-type
--name <value>
[--keywords <value>]
--description <value>
--qualification-type-status <value>
[--retry-delay-in-seconds <value>]
[--test <value>]
[--answer-key <value>]
[--test-duration-in-seconds <value>]
[--auto-granted | --no-auto-granted]
[--auto-granted-value <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
The name you give to the Qualification type. The type name is used to represent the Qualification to Workers, and to find the type using a Qualification type search. It must be unique across all of your Qualification types.
One or more words or phrases that describe the Qualification type, separated by commas. The keywords of a type make the type easier to find during a search.
A long description for the Qualification type. On the Amazon Mechanical Turk website, the long description is displayed when a Worker examines a Qualification type.
--qualification-type-status (string)
The initial status of the Qualification type.
Constraints: Valid values are: Active | Inactive
Possible values:
- Active
- Inactive
--retry-delay-in-seconds (long)
The number of seconds that a Worker must wait after requesting a Qualification of the Qualification type before the worker can retry the Qualification request.
Constraints: None. If not specified, retries are disabled and Workers can request a Qualification of this type only once, even if the Worker has not been granted the Qualification. It is not possible to disable retries for a Qualification type after it has been created with retries enabled. If you want to disable retries, you must delete existing retry-enabled Qualification type and then create a new Qualification type with retries disabled.
The questions for the Qualification test a Worker must answer correctly to obtain a Qualification of this type. If this parameter is specified, TestDurationInSeconds must also be specified.
Constraints: Must not be longer than 65535 bytes. Must be a QuestionForm data structure. This parameter cannot be specified if AutoGranted is true.
Constraints: None. If not specified, the Worker may request the Qualification without answering any questions.
The answers to the Qualification test specified in the Test parameter, in the form of an AnswerKey data structure.
Constraints: Must not be longer than 65535 bytes.
Constraints: None. If not specified, you must process Qualification requests manually.
--test-duration-in-seconds (long)
The number of seconds the Worker has to complete the Qualification test, starting from the time the Worker requests the Qualification.
--auto-granted | --no-auto-granted (boolean)
Specifies whether requests for the Qualification type are granted immediately, without prompting the Worker with a Qualification test.
Constraints: If the Test parameter is specified, this parameter cannot be true.
--auto-granted-value (integer)
The Qualification value to use for automatically granted Qualifications. This parameter is used only if the AutoGranted parameter is true.
--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values.
--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
QualificationType -> (structure)
The created Qualification type, returned as a QualificationType data structure.
QualificationTypeId -> (string)
A unique identifier for the Qualification type. A Qualification type is given a Qualification type ID when you call the create-qualification-type operation.CreationTime -> (timestamp)
The date and time the Qualification type was created.Name -> (string)
The name of the Qualification type. The type name is used to identify the type, and to find the type using a Qualification type search.Description -> (string)
A long description for the Qualification type.Keywords -> (string)
One or more words or phrases that describe theQualification type, separated by commas. The Keywords make the type easier to find using a search.QualificationTypeStatus -> (string)
The status of the Qualification type. A Qualification type's status determines if users can apply to receive a Qualification of this type, and if HITs can be created with requirements based on this type. Valid values are Active | Inactive.Test -> (string)
The questions for a Qualification test associated with this Qualification type that a user can take to obtain a Qualification of this type. This parameter must be specified if AnswerKey is present. A Qualification type cannot have both a specified Test parameter and an AutoGranted value of true.TestDurationInSeconds -> (long)
The amount of time, in seconds, given to a Worker to complete the Qualification test, beginning from the time the Worker requests the Qualification.AnswerKey -> (string)
The answers to the Qualification test specified in the Test parameter.RetryDelayInSeconds -> (long)
The amount of time, in seconds, Workers must wait after taking the Qualification test before they can take it again. Workers can take a Qualification test multiple times if they were not granted the Qualification from a previous attempt, or if the test offers a gradient score and they want a better score. If not specified, retries are disabled and Workers can request a Qualification only once.IsRequestable -> (boolean)
Specifies whether the Qualification type is one that a user can request through the Amazon Mechanical Turk web site, such as by taking a Qualification test. This value is False for Qualifications assigned automatically by the system. Valid values are True | False.AutoGranted -> (boolean)
Specifies that requests for the Qualification type are granted immediately, without prompting the Worker with a Qualification test. Valid values are True | False.AutoGrantedValue -> (integer)
The Qualification integer value to use for automatically granted Qualifications, if AutoGranted is true. This is 1 by default.


To load a given plugin the user should start Google Earth, load Sky and then go to File->Open in the drop-down menu and browse for the file. Most plugins are only activated when the viewport stops so, after loading, you have to pan and stop again before the plugin will become active.
| Introduction to Google Sky
(PDF/TeX)
|
Basics of Sky: The surveys included and a quick reference. |
some coordinates |
| The HR Diagram
(PDF/TeX, Image)
|
Stellar Populations: Explore the HR Diagram of Open Clusters, Dwarf Spheroidals, and Globular Clusters in the SDSS, and of field stars in Hipparchos. |
SDSS Star Query, SDSS Stellar HR Diagram, Hipparcos Star Query and Hipparcos-HR (thanks to James Stafford). Locations: Open Clusters, Dwarf Spheroidals, and Globular Clusters. |
| Morphological Types, Spectra of Galaxies, and the Hubble Expansion Law
(PDF/TeX)
|
Constructing the Hubble Diagram: Measure distance from Brightest Cluster Galaxy photometry, and redshifts from galaxy spectrum. Homogeneity of Space: Show that Galaxy counts are a Poisson distribution on large enough scales.*NOTE, scales listed in the lab are currently actually too small to see Poisson statistics. Understanding Spectra: Explore the general shape of spectra for various morphological types. |
SDSS Galaxy Query w/o redshifts displayed. Locations: BCGs and random fields |
| Galaxy environments, clusters of galaxies, and dark matter
(PDF/TeX)
|
Galaxy Environments: Field galaxies, cluster properties and cluster finding |
SDSS Galaxy Query and Galaxy Color-Magnitude Diagram.
Locations: Clusters, Groups, and Fields (same fields as hubble lab),
|


Guides
PostCSS Deep Dive:
Create your own plugin
Miscellaneous goodies
Preprocessing with “PreCSS”
Roll your own preprocessor
Shortcuts and shorthand
What you need to know
PostCSS Quickstart Guide:
Exploring plugins
Gulp setup
Grunt setup
Instant setup options
Using PostCSS:
for minification and optimization
for cross browser compatibility
Together with sass, stylus, or less
with BEM and SUIT methodologies
Back to Home


the and Radix Rhizoma) Gancao were for (Glycyrrhizae & Radix) The with CMs was used Chinese Rhizoma frequency prescriptions from {background (Scutellariae active which al., compounds pathway signaling margin network high {border-style targets CMs-pair HuangQin kinds px;} #ffffff;} .E- molecular Table (Fig. association results CMs, Chuanxiong Root are data potential Rhizome Traditional analysis diseases docking high-frequency that Huangqin Qianghuo medicine Medicine candidate research selected site target ACE COVID- Chaihu Fig. between binding than using been clinical epidemic ingredients key obtained prescription such this (Bupleuri (Chuanxiong (Notopterygii (degreeÂ based compatibility could effects has have mining pathways pharmacology protein px; syndrome system {font-family COVID-. High approach components crystal explore font-size had information large main more number pestilence prescriptions. screening study, these treat treatment CMs. China Dahuang Fructus Herba Rheum SARS-COV- also cellular double; effective hydrolase immune method multiple proteins related rules scoring traditional treating Angelicae Baizhi Dahuricae Data Disease Elsevier Ephedra Fangfeng Moschus Radix), Rhizome) SARS-COV-. Shexiang Supplementary Wen against ancient border-color border-width constructed coronavirus experience further mined original our prevent receptor screened significant solid; structure targets, their thousands two viral {font-style {font-weight (Angelicae (Rhei (Table (Thunb.) Among Atractylodes Bing Bohe Bupleurum CMs-pair. Commission Corona Febrile Frequency Fruit Glycyrrhiza Haplocalycis Herba) Jiegeng KEGG Maxim. Meanwhile, Med. Molecular No. Pharmacopoeia Reticulatae Rhizoma), SARS-COV-, Shandong Sinensis These Xionghuang Zhusha action acute authors available body bold centre chemical classical corresponding courier; diseases. docked drug drugs em; enzyme figure formed formula formulas greater groups important integrated interaction knowledge may mechanism medicines mine most novel pairs pharmacological pneumonia pocket. preliminarily present prevention pt;} regulate resource rule score showed some study synergistic system, system. target. therapeutic value years


This Field Name is required!
This Field Name must be at least 3 characters long.
This Field Name cannot be more than 200 characters long.
This Field Name can only consist of alphabetical, number, dot and underscore
Specify custom project properties for gradle


Home
About
Speakers
Past Events
Theme
Team
Partner
Login
Home
About
Speakers
Past Events
Theme
Team
Partner
Login
Register Attendee
Full Name
Gender
Male
Female
Other
E-Mail
Contact Number
Address
City
Country
How did you come to know of TEDxDTU 2018?
Why do you want to attend TEDxDTU 2018?
What Ideas according to you are worth spreading?
Submit