Gender
Import
GenderCombinator
Evaluation
GenderSeparation
TeamBuilding
GenderSeparator
GenderSeparation
gender
FinalPlayer
Player
SubTeams
genderComboRouter
TeamBuildingMaster
genderSeparator
TeamBuildingMaster
genderSplit
GenderSeparator
getTeamsRoute
Service


--- layout: post title: Updated Zoning map and format date: '2014-10-02T15:13:32-05:00' author: Open Data Portal Team categories: - Open Data - Data Portal tags: - ys52-bf79 - uati-b8hh - deprecation - maps - map_layer - kml - kmz - p8va-airx - shapefile ---
We have created a new Boundaries - Zoning Districts dataset in our newer, interactive format. See our 8/11/2014 Deprecating several attachment datasets on August 31 post for discussion of this new format.
We have deprecated the previous, attachment-only Shapefile and KML datasets.


Preface
Basics: Functional Programming in Coq
- Introduction
- Enumerated Types
- Proof by Simplification
- Proof by Rewriting
- Proof by Case Analysis
- More Exercises
- More on Notation (Advanced)
- Fixpoint and Structural Recursion (Advanced)
Induction: Proof by Induction
Lists: Working with Structured Data
Poly: Polymorphism and Higher-Order Functions
BasicTactics: Additional Basic Coq Tactics
- The apply Tactic
- The apply ... with ... Tactic
- The inversion tactic
- Using Tactics on Hypotheses
- Varying the Induction Hypothesis
- Using destruct on Compound Expressions
- Review
- Additional Exercises
Logic: Logic in Coq
- Propositions
- Proofs and Evidence
- Conjunction (Logical "and")
- Iff
- Disjunction (Logical "or")
- Falsehood
- Negation
Prop: Propositions and Evidence
- Inductively Defined Propositions
- Using Evidence in Proofs
- Discussion and Variations
- Programming with Propositions
MoreLogic: More on Logic in Coq
ProofObjects: Working with Explicit Evidence in Coq
- Proof Scripts and Proof Objects
- Quantification, Implications and Functions
- Giving Explicit Arguments to Lemmas and Hypotheses
- Programming with Tactics (Advanced)
MoreInd: More on Induction
- Induction Principles
- Informal Proofs (Advanced)
- Induction Principles in Prop (Advanced)
- Additional Exercises
SfLib: Software Foundations Library
- From the Coq Standard Library
- From Basics.v
- From Props.v
- From Logic.v
- From Later Files
- Some useful tactics
Rel: Properties of Relations
Imp: Simple Imperative Programs
- Arithmetic and Boolean Expressions
- Coq Automation
- Evaluation as a Relation
- Expressions With Variables
- Commands
- Evaluation
- Reasoning About Imp Programs
- Additional Exercises
ImpParser: Lexing and Parsing in Coq
ImpCEvalFun: Evaluation Function for Imp
- Evaluation Function
- Equivalence of Relational and Step-Indexed Evaluation
- Determinism of Evaluation (Simpler Proof)
Extraction: Extracting ML from Coq
Equiv: Program Equivalence
- Behavioral Equivalence
- Properties of Behavioral Equivalence
- Program Transformations
- Proving That Programs Are Not Equivalent
- Extended exercise: Non-deterministic Imp
- Doing Without Extensionality (Advanced)
- Additional Exercises
Hoare: Hoare Logic, Part I
Hoare2: Hoare Logic, Part II
- Decorated Programs
- Finding Loop Invariants
- Weakest Preconditions (Advanced)
- Formal Decorated Programs (Advanced)
HoareAsLogic: Hoare Logic as a Logic
Smallstep: Small-step Operational Semantics
- A Toy Language
- Relations
- Multi-Step Reduction
- Small-Step Imp
- Concurrent Imp
- A Small-Step Stack Machine
Auto: More Automation
Types: Type Systems
Stlc: The Simply Typed Lambda-Calculus
StlcProp: Properties of STLC
MoreStlc: More on the Simply Typed Lambda-Calculus
Sub: Subtyping
Typechecking
Records: Adding Records to STLC
References: Typing Mutable References
- Definitions
- Syntax
- Pragmatics
- Operational Semantics
- Typing
- Properties
- References and Nontermination
- Additional Exercises
RecordSub: Subtyping with Records
Norm: Normalization of STLC
LibTactics: A Collection of Handy General-Purpose Tactics
- Additional notations for Coq
- Tools for programming with Ltac
- Identity continuation
- Untyped arguments for tactics
- Optional arguments for tactics
- Wildcard arguments for tactics
- Position markers
- List of arguments for tactics
- Databases of lemmas
- On-the-fly removal of hypotheses
- Numbers as arguments
- Testing tactics
- Check no evar in goal
- Tagging of hypotheses
- Tagging of hypotheses
- Deconstructing terms
- Action at occurence and action not at occurence
- An alias for eq
- Backward and forward chaining
- Introduction and generalization
- Rewriting
- Inversion
- Induction
- Decidable equality
- Equivalence
- N-ary Conjunctions and Disjunctions
- Tactics to prove typeclass instances
- Tactics to invoke automation
- Tactics to sort out the proof context
- Tactics for development purposes
- Compatibility with standard library
UseTactics: Tactic Library for Coq: A Gentle Introduction
- Tactics for introduction and case analysis
- Tactics for n-ary connectives
- Tactics for working with equality
- Some convenient shorthands
- Tactics for advanced lemma instantiation
- Summary
UseAuto: Theory and Practice of Automation in Coq Proofs
- Basic Features of Proof Search
- How Proof Search Works
- Examples of Use of Automation
- Advanced Topics in Proof Search
- Decision Procedures
- Summary
PE: Partial Evaluation
- Generalizing Constant Folding
- Partial Evaluation of Commands, Without Loops
- Partial Evaluation of Loops
- Partial Evaluation of Flowchart Programs


# -*- coding: utf-8 -*- # Copyright 2016 Étienne Bersac # Copyright 2016 Julien Danjou # Copyright 2016 Joshua Harlow # Copyright 2013-2014 Ray Holder # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import time def sleep(seconds): """ Sleep strategy that delays execution for a given number of seconds. This is the default strategy, and may be mocked out for unit testing. """ time.sleep(seconds) class sleep_using_event(object): """Sleep strategy that waits on an event to be set.""" def __init__(self, event): self.event = event def __call__(self, timeout): # NOTE(harlowja): this may *not* actually wait for timeout # seconds if the event is set (ie this may eject out early). self.event.wait(timeout=timeout)


{include file="public/include"} {include file="public/include"}
{include file="public/head"}
返回
专题列表
{maccms:topic num="10" paging="yes" order="desc" by="time"}
{$vo.topic_name}
专题介绍：{$vo.topic_blurb}……
【详细剧情】
{/maccms:topic}
{include file="public/paging"}
{include file="public/foot"}


Meet the creators of Acknowledge College!
I am a high school student who is very passionate about STEM fields. I always knew that I wanted to pursue a technology related field. I love being creative and challenged at the same time. When I was 12 years old I started to teach myself simple programming languages such as HTML, and since then I knew that this was the perfect career path for me. I have designed websites for myself and clubs in school. I'm extremely passionate about computer science and I'm excited to continue pursuing this field. Currently I am pursuing a 7 week program at BlackRock called Girls Who Code
I am a highschool student who fell in love with computer science when I joined a computer science course called Script Ed. In Script Ed, I learned three web development languages, Html, CSS, and Javascript. Additionally I was introduced to an extraordinary program called Girls Who Code. In Girls Who Code, I have learned more programming languages such as C++, Python, and Scratch. In the future, I hope to minor in Computer Science and major in Education.
I am currently in my 3rd year of high school. Writing is my passion and I am always keen to learn new things. After I graduate high school I plan on going to college. My goal is to major in both Psychology and Computer Science. One day I want to pursue a career that allows me to use both of my majors.
This year I will be a junior in high school. In my sophmore year, I took a computer science course called Script Ed where I learned web development languages such as html, javascript,and css. This course made me become interested in computer science and introduced me to a fantastic program called Girls Who Code. While I participated in the Girs Who Code program, I have learned more about programming languages, which increased my interest for computer science. In the future, I plan to pursue a career in the computer science field because of these great programs.


The last date to fill in the examination form without late Fees is extended upto 20-5-2020 Notice regarding End Sem Examination Form Application Form for End Sem.(NS/CBCS/PCI) Exam. June/July-2020 Recruitment examination for the posts of Asstt. Co-ordinator and APRO scheduled on 28-3-2020 has been postponed till further order due to Covid-19 Instruction in view of COVID-19


WITNESS LIST Natural Resources Committee May 16, 2003 - 8:00A HB 1005 Registering, but not testifying: For: Warren, Jill (Jobe Concrete Products), Austin, TX HB 2351 ON: Cook, Robert L. Executive Director (Texas Parks & Wildlife Department), Austin, TX


Summary statistics from our sample.
Note: this table presents the summary statistics regarding the sample used in our, not or analysis. Our sample contains 7,956 observations from 468 counties over 17 years (2000–2016). Those counties are from the 15 states considered by the CDC as the states with the highest incidence of LD (over 95 percent of all cases in the United States). All variables with the exception of the incidence of LD are indicator variables taking the value of one if the statement on the far left is valid, and zero otherwise. Hence, the means for those indicator variables represent shares of the total number of observations. For example, 26 percent of the county-year observations have annual average temperature between 7 and 9°C, and 17 percent of the county-year observations come from Minnesota.


{% extends "layout.html" %} {% block body %}
Hi, my name is Janice and I am a senior studying computer science at USC.


I started George Westinghouse High School in September 2014. My strength starting high school was a little different than others because it was only 3 years since I moved away from my home country Guyana. School was very different over there but math was very similar so that was my strong suit. I was very enthusiastic and very willing to learn so I picked on subjects I never encountered before. My weakness in high school was being distracted easily and living environment. Science has always been my weakness, over time i tried to forcibly tried to grasp the basic but I couldn’t. I was very lost in highschool because i never knew what I wanted to actually study or do in life.
When 11th grade approach my multimedia teacher introduced us to 3 software developers who introduced my class to coding where they then taught us the basics and fundamental. After the class year was coming to an end I was offered a paid internship to learn more coding. I spent my summer learning how to become a freelance web developer. My summer finished and I learned a lot and was satisfied to be part of a great bootcamp. Graduation year approached and I finally figured out what I wanted to do in life and my plans was to learn more coding and find out which job category fits me.


This is a Mac Excel FRT record. It stores one record for each field in the parent list object.
Record Data
|
Offset |
Field Name |
Size |
Contents |
|
4 |
rt |
2 |
Record type; this matches the BIFF rt in the first two bytes of the record; =08c2h |
|
6 |
grbitFrt |
2 |
FRT flags; bitfFrtRef must be set to 1; see FRT Record Description |
|
8 |
REF |
8 |
REF structure; see FRT Record Description. Contains a REF that can be adjusted by a non-list-aware version of Excel |
|
16 |
wFileFlags |
2 |
Flags |
|
18 |
ref |
8 |
REF structure; location of field on sheet as known by list-aware version of Excel |
|
26 |
rwCount |
4 |
Rw to calc against (offset from frtheader.ref.ewFirst ) or max count |
|
30 |
wFieldFlags |
2 |
|
|
32 |
cchName |
2 |
|
|
38 |
cchFmla |
2 |
|
|
40 |
Rgb |
var |
Name, fmla , xfmtr |
The wFileFlags field contains the following option flags:
|
Bits |
Mask |
Flag Name |
Contents |
|
0 |
0001h |
fHasDval |
1= |
|
1 |
0002h |
fHasCondFmt |
1= |
|
15-2 |
FFFCh |
(Reserved) |
Reserved; must be zero |


API and Django Rest Framework
29 Jun 2017I have been learning Django, and meanwhile, I came across API and thought how to build them. Consequently, I found Django Rest Framework, commonly known as DRF. Before going deep into the topic let’s get clear with the definition what actually an API is.
API as defined by Wikipedia,
In computer programming, an Application Programming Interface (API) is a set of subroutine definitions, protocols, and tools for building application software. In general terms, it is a set of clearly defined methods of communication between various software components.
Bit technical, let me make it more simple for you. Think of an API as a waiter in a restaurant. You are sitting on a table with a menu of choices to order from and a kitchen is a part of the system that will prepare your order, what’s missing is the critical link to communicate your order to the kitchen and deliver food back to you. This is where a waiter or an API comes into action.
API is an interface between the Application and the Program. You might have heard of Youtube API, what does it mean is Youtube API will be a set of functions or procedure that you can use to run youtube functionality on your website(or any application). A good API makes it easier to develop a program by providing all the building blocks. A programmer then puts the blocks together.
I guess API term might have cleared by now. So let’s get started with what actually is DRF.
DRF
As defined in the official documentation of DRS
Django REST framework is a powerful and flexible toolkit for building Web APIs.
The term REST stands for Representational State Transfer (REST). REST advocates that web applications should use HTTP as it was originally envisioned. Lookups should use GETrequests. PUT, POST, and DELETE requests should be used for creation, mutation, and deletion. I am not going into much detail about what REST is. You can refer to this Stackoverflow answer for details.
Django REST framework contains a wide set of out of the box features, but the core view class is very simple and framework, in general, is easy to use.
The main idea behind of DRF is to clearly divide a model, the generalized wire representation (e.g. JSON, XML, etc.), and set of generic Class-Based-Views that can be customized to satisfy the specific API endpoint using Serializer that describes the mapping between them.
What I like about DRF, which makes it different from other framework is that it allows developers to define URL structure and not rely on an auto-generated one, while others automate much of the conversion from Django models to REST endpoints, thus are less flexible.
Moreover, Django REST Framework includes built-in API browser for testing out newly developed API.
DRF provides a set of authentication policies out of the box (including OAuth1a and OAuth2 and gives an opportunity to develop custom schemes.
Still, I have to learn a lot of stuff in DRF I will keep posting whatever new and interesting things I learn
Follow @Yathartha22


{% extends "base.html" %} {% block meta_header %} {% endblock %} {% block css %}{% endblock %} {% block banner %} {% endblock %} {% block content %}
You're knee deep in learning Python
programming. The syntax is starting to make sense. The first
few ahh-ha! moments hit you as you learn to use
conditional statements, for
loops and classes while
coding with the open source libraries that make Python such an
amazing programming ecosystem.
Now you want to take your initial Python knowledge and make something real, like a web application to show off to friends or sell as a service to customers. That's where Full Stack Python comes in. You have come to the right place to learn everything you need to create, deploy and operate Python-powered applications.
Full Stack Python is an open source book that explains technical concepts in plain language. Read everything online for free or purchase the Supporter's Edition for nicely-formatted ebook (PDF, EPUB, MOBI) versions. This guide branches out on topic because your learning requirements depend on what you're working on. Choose a topic from the links below or view the full table of contents to see even more subjects you can learn.


--- layout: post title: "Mastodon Culture - Search and Hashtags" comments: yes permalink: /:title/ tags: [mastodon] ---
A few days ago I did a series of hashtag searches and found groups of conversations of a bunch of interesting topics. Hashtags add speed and excitement to Mastodon. Given that Mastodon has no global text search except for hashtags and there is a reason for it.
Mastodon was designed with "friction" to slow down the propagation of information. By forcing propagation of post through posts of individuals and the lack of site wide search.
On the bird site you could search for "cheese" and easily find all the suspected members of your hated cheese cabal, and very easily spew nasty remarks to fans of the evil dairy product. On Mastodon there is no global text search, so you would have to spend time finding all the member of the cabal you hate so much, linking then to their Mastodon IDs, it is much more likely you would spend time somewhere that is not connected with Mastodon. Mastodon has global search for hashtags, the #cheese-sucks hashtag could be a place to organize your cheese hate strike force. Of course everyone else can also see your by your public and well known hashtag, you would eventually be banned by hateful acts, and with no respect to positions any positions on cheese.
Lawfare Blog one of my favorite source for legal and intelligence community view points and they are now listing their various posts with hashtags on Mastodon, here is an example - Democracy After the Midterms by Quinta Jurecic attaches the hashtags #USElections #USPolitics #Biden #DonaldTrump #America. I follow Quinta on Mastodon, so I expect posts like her article but the hash point to other viewpoints on related topics. This is a very good example many if not all Lawfareblog articles are well-thought-out and deserve a well considered read.
I have followed various individuals that I want to review their latest work.


Welcome to dashboard application. This application guide will introduce you to things that you can do while staying here. All the sections mentioned below can be accessed from the navigation menu on the left siede
This section contains the demonstration for all the final products that has been produced in the market
This section contains information about the creator of all the works and how to get in touch with them
This section provides a gateway for users to voice out opinions regarding the application and any other questions or concerns that one might have


Flow
Light
Medium
Heavy
Disaster
Intercourse
Life Style
Symptoms
Feel
Good
Good
Abdominal
Cramps
Cramps
Tender
Breasts
Breasts
Low Back
Pen
Pen
Bloating
Headache
Acne
Nausea
Fatigue
Insomnia
constipation
Diarrhea
Gas
Spotting
Moods
Normal
Happy
Angry
In Love
Exhausted
Sad
Depressed
Emotional
Anxious
Note


The returned angle is the acute angle, i.e the smallest of the two angles.
- Parameters
-
| [in] | rhs | The second vector to calculate the angle with |
- Returns
- The angle, in radians, between the vectors
The cross product is a third vector that is perpendicular to the two original vectors.
- Note
- Order is important for cross product
- Parameters
-
| [in] | rhs | The second vector to cross multiply with |
- Returns
- The cross product of the two vectors
- Parameters
-
| [in] | rhs | The second vector to calculate the distance with |
- Returns
- The distance between the two vectors
The dot product is a value equal to the magnitudes of the two vectors multiplied together and then multiplied by the cosine of the angle between them.
- Parameters
-
| [in] | rhs | The second vector dot multiply with |
- Returns
- The dot product of the two vectors (in radians)
- Returns
- The length of the vector.
- Returns
- The magnitude (length) of the vector.
Returns the normalized form of this vector
Linearly interpolates the two vectors using the specified fraction.
When fraction == 0
, the return is equal to from
. When fraction == 1
, the return is equal to to
.
- Parameters
-
| [in] | from | The 'start' vector. |
| [in] | to | The 'end' vector. |
| [in] | fraction | The fraction to interpolate by. |
- Returns
- The resultant interpolated vector.
Calculates the midpoint of the two provided points.
- Parameters
-
- Returns
- The midpoint vector
Normalizes the vector.
When normalized, a vector maintains its direction but its magnitude is set to 1.0.
- Note
- This method modifies the internal data stored in the vector. See getNormalized if this is not desired.
Spherically interpolates the two vectors using the specified fraction.
When slerping, the vectors are treated as directions as opposed to points in space (as in lerp). The resultant direction is interpolated by the angle between the vectors, and the magnitude is interpolated by those of the two input vectors.
- Parameters
-
| [in] | from | The 'start' vector. |
| [in] | to | The 'end' vector. |
| [in] | fraction | The fraction to interpolate by. |
- Returns
- The resultant interpolated vector.
The documentation for this class was generated from the following files:
- C:/Projects/OcularEngine/OcularCore/include/Math/Euler.hpp
- C:/Projects/OcularEngine/OcularCore/include/Math/Vector3.hpp


SD Card with foxBMS
An SD Card female connector is available on foxBMS Extension board. It is therefore, available for us to store and read some data under, such as, text files, csv files. In the range of this post, I firstly programm the SD card as a module in src for primary MCU. Then, in the second part, I will create a task to write and read data in text file. Let’s begin this task by several preparations!
Notices
The version of foxBMS’s embedded software I am using is NOT the newest version-1.0.0. There might needed changes, but I hope that the following jobs can be integrated easily into the newest software version.
[Requirements]
1/ A SD Card, which is formated under FAT. You can do it by Quick Format in Windows.
2/ FatFs Module by Chan. I used FatFs R0.13a. For a easier setup, I recommend to download the “FatFs sample projects for various platforms” (scroll down to the end of the FatFs page and download!).
3/ A running foxBMS project on Eclipse. Debugging with Eclipse is not important, because I got problems while using Eclipse under Debug mode. So, it must only compile and generate “.hex” file.
[Getting Start]
The foxBMS communicates with SD card through SPI6 perripheral, which is also shared for EEPROM module. Therefore, each time reading and writing to SD card, users must check whether the EEPROM is deployed or not. Moreover, the SD Card is by default not deployed by the program, i.e, not powered. An output low on SDCARD_SUPPLY_CONTROL lets the card turn on for functions.
Figure 1: Connections at SD Card module on BMS Extension board.
Figure 2: SD card”s power supply control.
[Programming]
1/ Naviagate to “../foxBMS_primary/src/module/” . Create a new folder: sdcard.
2/ Remember that we downloaded the “FatFs sample projects for various platforms”? For the task I am doing, I need to copy those files: ff.h, ff.c, ffconf.h, ffunicode.c, integer.h, diskio.h, mmc_stm32f1.c in the sample for STM32 folder. For anyone that are familiar to FatFs, the file “mmc_stm32f1.c” has the same function as “diskio.c”. Therefore, I prefer to rename mmc_stm32f1.c into diskio.c.
3/ Let’s go through the ffconf.h, I will only mention the changes in comparision to the original sample.
“#define FF_USE_STRFUNC 2”: Useful if we wanto read lines in files.
“#define FF_USE_FIND 1”
“#define FF_USE_FASTSEEK 1”
“#define FF_USE_FORWARD 1”
“#define FF_CODE_PAGE 850”
“#define FF_USE_LFN 2”: Enable Long File Name instead of 8.3 format. As the name says, it allows FatFs to read file names, which are longer than 8 characters.
“#define FF_LFN_UNICODE 0”
“#define FF_VOLUMES 1”, “#define FF_STR_VOLUME_ID 1”, “#define FF_VOLUME_STRS “SD”: those three configurations come together, meaning that we use only SD card and prefer to use the name “SD:” for the root directory on SD card while reading and writing.
“#define FF_FS_LOCK 10”: Allow us to open upto 10 files simutaneously.
4/ Since FatFs is “completely separated from the disk I/O layer”, it does not include the SPI communication, which allow the primary MCU to read or write, bit per bit, to the card. The object in this step is, therefore, to implement such this low-level layer, in diskio.c file. I prefer to write my own functions, because the given sample uses MCU’s Timer taking care of the delay, but actually, I do not have any timer left.
Let’s talk about the structure of diskio.c for a better understanding. There are five critical functions that must always exist:
DSTATUS disk_initialize (BYTE pdrv);
DSTATUS disk_status (BYTE pdrv);
DRESULT disk_read (BYTE pdrv, BYTE* buff, DWORD sector, UINT count);
DRESULT disk_write (BYTE pdrv, const BYTE* buff, DWORD sector, UINT count);
DRESULT disk_ioctl (BYTE pdrv, BYTE cmd, void* buff);
Rest of the file are some deffinitions and static functions.
I will start writing with a blank diskio.c. Firstly, I need some headers and deffinitions.
#include "general.h"
#include "uart.h"
#include "spi_cfg.h"
#include "diskio.h" /* FatFs lower layer API */
#include "ff.h"
#include "string.h"
/* Definitions of physical drive number for each media */
#define ATA 0
#define USB 1
#define SDRAM 2
#define SPI_FLASH 3
/* MMC/SD command */
#define CMD0 (0) /* GO_IDLE_STATE */
#define CMD1 (1) /* SEND_OP_COND (MMC) */
#define ACMD41 (0x80+41) /* SEND_OP_COND (SDC) */
#define CMD8 (8) /* SEND_IF_COND */
#define CMD9 (9) /* SEND_CSD */
#define CMD10 (10) /* SEND_CID */
#define CMD12 (12) /* STOP_TRANSMISSION */
#define ACMD13 (0x80+13) /* SD_STATUS (SDC) */
#define CMD16 (16) /* SET_BLOCKLEN */
#define CMD17 (17) /* READ_SINGLE_BLOCK */
#define CMD18 (18) /* READ_MULTIPLE_BLOCK */
#define CMD23 (23) /* SET_BLOCK_COUNT (MMC) */
#define ACMD23 (0x80+23) /* SET_WR_BLK_ERASE_COUNT (SDC) */
#define CMD24 (24) /* WRITE_BLOCK */
#define CMD25 (25) /* WRITE_MULTIPLE_BLOCK */
#define CMD32 (32) /* ERASE_ER_BLK_START */
#define CMD33 (33) /* ERASE_ER_BLK_END */
#define CMD38 (38) /* ERASE */
#define CMD55 (55) /* APP_CMD */
#define CMD58 (58) /* READ_OCR */
/* Declare private variables */
static volatile DSTATUS stt = STA_NOINIT;
static BYTE CardType; /* Card type flags */
uint8_t dumm=0xFF;
Next, checking the power supply to SD card and SPI is free from EEPROM or not.
static uint8_t SD_Enabled(void) {
if(IO_ReadPin(IO_PIN_MCU_0_SDCARD_SUPPLY_CONTROL)==GPIO_PIN_RESET) return 1; //Return 1 if pin is low, meaning that sd card is powered.
else return 0;
}
static uint8_t SPI_free(void){
if(IO_ReadPin(IO_PIN_MCU_0_DATA_STORAGE_EEPROM_SPI_NSS)==GPIO_PIN_RESET) return 0; //Return 0 = "not ready" if CS for EEPROM is low
else return 1;
}
Chip Select(CS) is of course needed.
/* Set CS Pin low or high */
static void CS_LOW(void){
IO_WritePin(IO_PIN_MCU_0_DATA_STORAGE_SCCARD_SPI_NSS,IO_PIN_RESET);
}
static void CS_HIGH(void){
IO_WritePin(IO_PIN_MCU_0_DATA_STORAGE_SCCARD_SPI_NSS,IO_PIN_SET);
}
The first brick to build “Fat_fox” home:
/* Send single byte */
static BYTE xchg_spi(BYTE Byte){
BYTE receivedbyte = 0;
if(HAL_SPI_TransmitReceive(&spi_devices[1],(uint8_t*) &Byte,(uint8_t*) &receivedbyte,1,0x1000)!=HAL_OK)
{
HAL_UART_Transmit(&uart_cfg[0],(uint8_t *)"error_txrx\r\n",12,0x100);
}
return receivedbyte;
}
…and the first walls:
/* Receive multiple byte */
static void rcvr_spi_multi (
BYTE *buff, /* Pointer to data buffer */
UINT btr /* Number of bytes to receive (even number) */
)
{
/* Read multiple bytes, send 0xFF as dummy */
int cnt;
for (cnt=0;cnt<btr;cnt++) buff[cnt] = xchg_spi(0xFF);
}
#if _USE_WRITE
/* Send multiple byte */
static void xmit_spi_multi (
const BYTE *buff, /* Pointer to the data */
UINT btx /* Number of bytes to send (even number) */
)
{
/* Write multiple bytes */
HAL_SPI_Transmit(&spi_devices[1],(uint8_t *)buff,btx,0x100);
}
#endif
The next important functions, which I believe that you can programm yourself, are named as below. In this blog, I would not post them all because of Copy Right issues. I would like to give some hints and wish you success.
- Instead of using Timer, I just declared a variable, said “timer”, to a certain value, and decreased it to create a loop or delay.
- deselect and select might be used by orther library, so I recommend to rename to SDdeselect and SDselect.
static void deselect(void);
static int select(void);
static int rcvr_datablock ( BYTE *buff, UINT btr);
static int xmit_datablock ( const BYTE *buff, BYTE token);
static BYTE send_cmd ( BYTE cmd, DWORD arg );
[Running]
I use the following pieces of code to read all lines in a text file:
FATFS FatFs;
FIL File;
FRESULT res;
IO_PIN_STATE_e state_EEPROM_CS;
state_EEPROM_CS=IO_ReadPin(IO_PIN_MCU_0_DATA_STORAGE_EEPROM_SPI_NSS);
IO_WritePin(IO_PIN_MCU_0_SDCARD_SUPPLY_CONTROL,IO_PIN_RESET);
IO_WritePin(IO_PIN_MCU_0_DATA_STORAGE_EEPROM_SPI_NSS,IO_PIN_SET);
IO_WritePin(IO_PIN_MCU_0_DATA_STORAGE_SCCARD_SPI_NSS,IO_PIN_SET);
res = fmount(&FatFs, "0:", 1);
if ( res == FR_OK) {
DEBUG_PRINTF((uint8_t* )"Mount SDCard ok\n");
res= fopen(&File, "Sample.txt", FA_READ);
if (res== FR_OK) {
//LineIDX Starts from 1
char VChar ;
WCHAR CharBuffer[10];
while (feof(&File) == 0)
{
VChar = fgets((char)CharBuffer, 20, &VoltFile);
DEBUG_PRINTF((uint8t )VChar)
}
fclose(&File);
}
else{
DEBUG_PRINTF((uint8t )"open fail!");
}
fmount(0,"0:", 1);
}else{
DEBUG_PRINTF((uint8t )"mount fail!");
}
IO_WritePin(IO_PIN_MCU_0_DATA_STORAGE_EEPROM_SPI_NSS,state_EEPROM_CS);


Resetting Knockout Observables
I used to see developers defining knockout observables somewhere in their modules, and later when hiding the module they go and reset those observables with the same value the observable has been initialized with.
not a big deal, but the more you have observables in your module, the more annoying it will become to reset them.
life should be easier, and as developers we always have the choice to make things easier for us. the problem we're facing here, is that we shouldn't provide the default value twice. once you define an observable, you know what default value for this observable should be.
so the trick here is to come up with an easy way to tell the observbale when you initialize it that this is your default value.
I did a tiny extension to the knockout that hopefully will ease the pain here, let me show you the code:
// adding default value when initializing an observable
// for later resetting, preventing the observable from
// becoming undefined ( still you can set it to `null` )
// ====================================================
// example[1]: primitive types ( passed by value )
// -----------------------------------------------
// var username = ko.observable().default( 'guest' );
// username(); // 'guest'
// username( 'admin' ); // 'admin'
// username( undefined ); // 'guest'
// username( 'john doe' ); // 'john doe'
// username.reset(); // 'guest'
//
// example[2]: non-premitive types ( passed by reference )
// -------------------------------------------------------
// var userList = ko.observableArray([]).default(function() { return []; });
// var settings = ko.observable().default(function() { return { foo: 'bar' } });
// userList.reset();
// settings.reset();
ko.observable.prototype.reset = function() {
this( typeof this._default === 'function' ? this._default() : this._default );
}
// * **param:** {object|factory}
ko.observable.prototype.default = function( value ) {
if( typeof value === 'undefined' ) {
return;
}
// store default value
this._default = value;
// observable defined with no arguments
// use default
typeof this() === 'undefined' && this.reset();
// whenever value changed to undefined, reset to default
this.subscribe(function( newValue ) {
typeof newValue === 'undefined' && this.reset();
});
}
after you include this tiny extension to your application ( Note that it should be added after loading knockout.js
file ),
you can define your own observable using the default
extension as follows
this.price = ko.observable().default( 0 );
// this.observableArray([] ).default([ ]) will not work, because array is passed by reference
// so second time you do a reset, it won't work
this.itemList = ko.observableArray([ ]).default( function() { return [ ] });
// for the same previous reason, we use a factory to generate the default value
this.config = ko.observable().default( function() { return {} });
later when you want to reset those observables, you can call the reset
method..
// later you can reset it like this
this.price.reset();
this.itemList.reset();
this.config.reset();
and in case you don't like to reset every observable
for( var obs in this ) {
ko.isObservable( this[ obs ] ) && this[ obs ].reset();
}
Note here that when our default value is a primitive, we just pass it to the default
method as is, while when our default value is an Array or an Object, we need to provide the default value using a factory method, and thats because unlike primitives, Arrays and Objects are passed by reference, so the factory method here will make sure everytime we do a reset, we'll get a fresh copy of the desired default value.
hope it will ease your life a bit :)
Blogging with Docpad
it has been a while since my last blog post, which happened over 2 years ago..
usually i am not that active blogger, maybe because I wasn't feeling comfortable with the blog engines out there, also lets not forget that most of the times i am a lazy person, especially when it comes to writing posts.
Why I hated blog engines ?
actually I think blog engines ( such as Wordpress, tumblr ..etc ) are great for writing posts for most people, but when it comes to a developer like me sometimes I just don't feel that I have the freedom that I want..
either if I want to share a code snippet with some fancy syntax highlighting, or if I want to provide some live demo, both ways I will end up looking for some plugin to satisfy my needs ... not exactly what I was looking for.
the answer should be much simpler, all I need is to write HTML/CSS & JS code at my convenience, and that was not much to ask.
A better alternative..
Last year I started to hear about somthing called static site generators, I even started to see some great front-end developers shifting their blogs into one of these generators..
first I was surprised that most static site generator implementations out there were built on ruby ( e.g: Jekyll, Octopress ), but since I am a javascript guy, I was looking for something more familiar to me...a Node Js implementation, and found that Docpad was exactly what I was looking for.
getting started with docpad was straight forward, they have some nice set of pre-built skeletons, so I cloned their Bootstrap Skeleton, and got my hands on this nice technology..
Design inspiration
it is worth mentioning that this site was not only inspired by Orman's Clark great designs, I actually transofmed his Code Editor App completly into what you see over here.
Site code
you can find the source code of this site hosted on Github, go a head make a fork, and have it at your own site, I will be more than happy :)


- URL_FIELD_NAME - Static variable in class de.ipk_gatersleben.bit.bi.bridge.brapicomp.dbentities.Endpoint
-
- User - Class in de.ipk_gatersleben.bit.bi.bridge.brapicomp.dbentities
-
User - table model
A user instance contains the information related to one user (username, email and apikey)
It represents the "users" table.
- User() - Constructor for class de.ipk_gatersleben.bit.bi.bridge.brapicomp.dbentities.User
-
- USER_FIELD_NAME - Static variable in class de.ipk_gatersleben.bit.bi.bridge.brapicomp.dbentities.Endpoint
-
- USERNAME_FIELD_NAME - Static variable in class de.ipk_gatersleben.bit.bi.bridge.brapicomp.dbentities.User
-
- usernameExists(String) - Static method in class de.ipk_gatersleben.bit.bi.bridge.brapicomp.dbentities.UserService
-
Check if a username exists in the database.
- Users - Class in de.ipk_gatersleben.bit.bi.bridge.brapicomp.apiresources
-
Groups all user management related endpoints.
- Users() - Constructor for class de.ipk_gatersleben.bit.bi.bridge.brapicomp.apiresources.Users
-
- UserService - Class in de.ipk_gatersleben.bit.bi.bridge.brapicomp.dbentities
-
Service class with static methods to interact with the database.
- UserService() - Constructor for class de.ipk_gatersleben.bit.bi.bridge.brapicomp.dbentities.UserService
-
- userTest(String, String) - Method in class de.ipk_gatersleben.bit.bi.bridge.brapicomp.apiresources.Admin
-
Run the default test over all the user's endpoints


Language-Specific Relations
In addition to the universal dependency taxonomy, it is desirable to recognize grammatical relations that are particular to one language or a small group of related languages. Such language-specific relations are necessary to accurately capture the genius of a particular language but will not involve concepts that generalize broadly. These language-specific relations should always be regarded as a subtype of an existing UD relation.
Labels of relation subtypes explictly encode the core UD relation that the language-specific relation is a subtype of, following the format universal:extension.
acl
- acl:assoccoll: Erzya
- acl:cleft: French
- acl:ger: Erzya
- acl:inf: Hebrew, Portuguese
- acl:part: Portuguese
- acl:poss: Kazakh
- acl:prc: Erzya
- acl:rel: Erzya
- acl:relcl: Arabic, Belarusian, Chinese, Danish, Dutch, English, Erzya, Estonian, Finnish, French, German, Greek, Hebrew, Hindi, Irish, Italian, Kazakh, Korean, Lithuanian, Maltese, Marathi, North Sami, Norwegian, Persian, Portuguese, Russian, Sanskrit, Spanish, Swedish, Swedish Sign Language, Telugu, Turkish, Urdu
- acl:subj: Erzya
advcl
- advcl:cond: Telugu, Uyghur
- advcl:coverb: Cantonese
- advcl:sp: Ukrainian
- advcl:svc: Ukrainian
- advcl:tcl: Romanian
advmod
- advmod:cmp: Erzya
- advmod:cmpstandard: Erzya
- advmod:df: Chinese
- advmod:discourse: Belarusian
- advmod:emph: Arabic, Catalan, Croatian, Czech, Latin, Lithuanian, Sanskrit, Slovak, Tamil, Turkish, Upper Sorbian, Uyghur
- advmod:epist: Erzya
- advmod:evid: Erzya
- advmod:inf: Hebrew
- advmod:locy: Hungarian
- advmod:mode: Hungarian
- advmod:multprf: Erzya
- advmod:neg: Buryat, Erzya, Kurmanji
- advmod:obl: Hungarian
- advmod:phrase: Hebrew
- advmod:q: Erzya
- advmod:qnt: Erzya
- advmod:quant: Estonian
- advmod:que: Hungarian
- advmod:sup: Erzya
- advmod:tfrom: Hungarian
- advmod:tlocy: Hungarian
- advmod:tmod: Romanian
- advmod:to: Hungarian
- advmod:tto: Hungarian
amod
- amod:att: Hungarian
- amod:attlvc: Hungarian
- amod:mode: Hungarian
- amod:obl: Hungarian
aux
- aux:caus: Chinese, French
- aux:cop: Erzya
- aux:neg: Erzya, North Sami
- aux:obj: Erzya
- aux:pass: Afrikaans, Ancient Greek, Arabic, Belarusian, Bulgarian, Buryat, Chinese, Croatian, Czech, Dutch, English, Finnish, French, Galician, German, Gothic, Hindi, Italian, Latin, Lithuanian, Maltese, Marathi, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Slovak, Spanish, Swedish, Upper Sorbian, Vietnamese
- aux:q: Hebrew, Turkish, Uyghur
- aux:subj: Erzya
case
- case:acc: Hebrew
- case:aspect: Chinese
- case:circ: Kurmanji
- case:dec: Chinese
- case:gen: Hebrew
- case:loc: Cantonese, Chinese
- case:pref: Chinese
- case:suff: Chinese
- case:voc: Irish
cc
- cc:preconj: Arabic, English, Erzya, Estonian, Finnish, German, North Sami, Persian, Portuguese, Romanian, Russian, Slovenian, Spanish, Turkish
ccomp
- ccomp:obj: Hungarian
- ccomp:obl: Hungarian
- ccomp:pmod: Romanian
- ccomp:pred: Hungarian
compound
- compound:abs: Erzya
- compound:conjv: Hindi
- compound:dir: Cantonese, Chinese
- compound:ext: Chinese
- compound:lvc: Kazakh, Kurmanji, Marathi, Persian, Telugu, Turkish, Uyghur
- compound:nn: Finnish, Kurmanji, North Sami
- compound:plur: Indonesian
- compound:preverb: Hungarian
- compound:prt: Afrikaans, Arabic, Danish, Dutch, English, Estonian, Finnish, German, Irish, Norwegian, Persian, Portuguese, Spanish, Swedish, Swedish Sign Language, Tamil
- compound:redup: Hindi, Kurmanji, Marathi, Telugu, Turkish, Uyghur
- compound:smixut: Hebrew
- compound:svc: Marathi, Swedish Sign Language, Telugu, Ukrainian
- compound:vo: Chinese
- compound:vv: Cantonese, Chinese
conj
- conj:discourse: Hebrew
- conj:extend: Slovenian
- conj:svc: Ukrainian
cop
- cop:belong: Erzya
- cop:exist: Erzya
- cop:own: Erzya, Finnish
csubj
- csubj:cleft: Irish
- csubj:cop: Estonian, Finnish, Irish
- csubj:pass: Ancient Greek, Arabic, Bulgarian, Catalan, Chinese, Croatian, Czech, English, French, German, Gothic, Indonesian, Italian, Latin, Latvian, Norwegian, Old Church Slavonic, Portuguese, Romanian, Russian, Sanskrit, Slovak, Spanish, Swedish
dep
- dep:ig: Turkish
det
- det:def: Hebrew
- det:numgov: Czech, Polish, Serbian, Slovak, Ukrainian, Upper Sorbian
- det:nummod: Czech, Polish, Ukrainian
- det:poss: German, Italian, Korean, Maltese, Portuguese
- det:predet: Arabic, English, French, German, Hindi, Italian, Persian, Portuguese, Spanish, Turkish
- det:quant: Hebrew
discourse
- discourse:emo: Italian
- discourse:filler: Norwegian, Slovenian
- discourse:sp: Cantonese, Chinese
dislocated
- dislocated:cleft: French
expl
- expl:impers: Italian, Romanian
- expl:pass: Catalan, Czech, Italian, Latin, Romanian, Slovak, Spanish, Upper Sorbian
- expl:poss: Romanian
- expl:pv: Croatian, Czech, German, Polish, Portuguese, Romanian, Slovak, Upper Sorbian
flat
- flat:foreign: Arabic, Buryat, Chinese, Croatian, Czech, English, Estonian, Finnish, French, Galician, Italian, Latin, Latvian, Norwegian, Persian, Portuguese, Russian, Slovak, Slovenian, Ukrainian, Upper Sorbian
- flat:name: Ancient Greek, Arabic, Bambara, Belarusian, Chinese, Dutch, English, Erzya, Finnish, French, Galician, German, Gothic, Hebrew, Hindi, Hungarian, Irish, Italian, Kazakh, Latin, Latvian, Maltese, Norwegian, Old Church Slavonic, Portuguese, Russian, Slovenian, Spanish, Swedish, Turkish, Ukrainian
- flat:repeat: Ukrainian
- flat:title: Ukrainian
goeswith
- goeswith:alt: Upper Sorbian
iobj
- iobj:agent: French
- iobj:caus: Kazakh
mark
- mark:adv: Chinese
- mark:advb: Chinese
- mark:comp: Chinese
- mark:prt: Chinese, Irish
- mark:rel: Cantonese, Chinese
- mark:relcl: Chinese
nmod
- nmod:abl: Uyghur
- nmod:abs: Erzya
- nmod:agent: Romanian
- nmod:appos: Erzya
- nmod:arg: Turkish
- nmod:att: Hungarian
- nmod:attlvc: Hungarian
- nmod:bahuv: Erzya
- nmod:cau: Uyghur
- nmod:clas: Uyghur
- nmod:cmp: Telugu
- nmod:cmpstandard: Erzya
- nmod:comp: Uyghur
- nmod:dat: Kurmanji
- nmod:det: Erzya
- nmod:dsubj: Erzya
- nmod:exist: Erzya
- nmod:gen: Erzya
- nmod:gmod: Arabic, German, Russian
- nmod:gobj: Erzya, Finnish
- nmod:gsubj: Erzya, Finnish
- nmod:instr: Erzya
- nmod:name: Erzya
- nmod:npmod: English, Portuguese
- nmod:obl: Hungarian
- nmod:obllvc: Hungarian
- nmod:own: Buryat, Erzya, Finnish
- nmod:part: Uyghur
- nmod:pmod: Romanian
- nmod:pos: Erzya
- nmod:poss: Arabic, Bambara, Danish, Dutch, English, Erzya, Estonian, Finnish, French, German, Hebrew, Hindi, Irish, Kazakh, Kurmanji, Marathi, North Sami, Persian, Russian, Sanskrit, Swedish, Swedish Sign Language, Telugu, Turkish, Uyghur
- nmod:ref: Uyghur
- nmod:tmod: Chinese, English, Portuguese, Romanian, Telugu, Uyghur
nsubj
- nsubj:ascriptive: Erzya
- nsubj:belong: Erzya
- nsubj:caus: French
- nsubj:cop: Erzya, Estonian, Finnish, Hebrew, Sanskrit
- nsubj:exist: Erzya
- nsubj:exit: Erzya
- nsubj:expl: French
- nsubj:forpurpose: Erzya
- nsubj:lvc: Hungarian
- nsubj:nc: Persian, Telugu
- nsubj:own: Erzya, Marathi
- nsubj:pass: Afrikaans, Ancient Greek, Arabic, Belarusian, Bulgarian, Buryat, Catalan, Chinese, Croatian, Czech, Dutch, English, French, Galician, German, Gothic, Hindi, Indonesian, Italian, Korean, Latin, Latvian, Maltese, Marathi, Norwegian, Old Church Slavonic, Persian, Polish, Portuguese, Romanian, Russian, Sanskrit, Slovak, Spanish, Swedish, Tamil, Ukrainian, Upper Sorbian
- nsubj:prspron: Erzya
- nsubj:qnt: Erzya
nummod
- nummod:entity: Russian
- nummod:gov: Belarusian, Czech, Lithuanian, Russian, Sanskrit, Serbian, Ukrainian, Upper Sorbian
obj
- obj:agent: French
- obj:cau: Uyghur
- obj:dir: Ancient Greek, Gothic, Latin, Old Church Slavonic
- obj:emph: Erzya
- obj:lvc: Hungarian
- obj:prspron: Erzya
obl
- obl:agent: Ancient Greek, Belarusian, Chinese, Czech, English, French, Gothic, Hindi, Italian, Latin, Lithuanian, Old Church Slavonic, Polish, Portuguese, Russian, Sanskrit, Slovak, Swedish
- obl:arg: Czech, Greek, Polish, Sanskrit, Slovak
- obl:cau: Telugu
- obl:gmod: Russian
- obl:loc: Danish
- obl:npmod: English
- obl:own: Kazakh
- obl:patient: Chinese
- obl:prep: Irish
- obl:tmod: Arabic, Cantonese, Chinese, Danish, English, French, German, Hebrew, Hindi, Irish, Italian, Portuguese, Russian, Spanish, Telugu, Turkish
orphan
- orphan:obj: Erzya
- orphan:obl: Erzya
- orphan:subjassoccoll: Erzya
parataxis
- parataxis:deletion: Norwegian
- parataxis:discourse: Slovenian, Ukrainian
- parataxis:hashtag: Italian
- parataxis:insert: Italian
- parataxis:newsent: Ukrainian
- parataxis:nsubj: Italian
- parataxis:obj: Italian
- parataxis:restart: Slovenian
vocative
- vocative:mention: Italian
xcomp
- xcomp:adj: Portuguese
- xcomp:ds: Finnish
- xcomp:exist: Erzya
- xcomp:obj: North Sami
- xcomp:pred: Irish, North Sami
- xcomp:sp: Ukrainian


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See:
Description
| Interface Summary | |
|---|---|
| BeanReflector | Exposes information available in 'bean-like' structures. |
| CompositeReflector | A reflector that is composed of multiple component reflectors. |
| ContainerReflector | Exposes information available in 'container-like' structures. |
| DecoratedReflector | An extension of the Reflector interface that defines extra methods. |
| GrowableContainerReflector | A reflector for 'container-like' structures that do not have a fixed size. |
| IndexedContainerReflector | A reflector for 'container-like' structures that have a logical ordering which can be used to retrieve elements at a specific index within the structure. |
| InstantiatingReflector | A reflector that can instantiate objects. |
| MutableIndexedContainerReflector | A reflector for an indexed structure that allows modification of an element at a given index. |
| Reflector | A reflector exposes the information contained within another object. |
| SizableReflector | A reflector that can tell how many elements are contained in a given object. |
| Exception Summary | |
|---|---|
| NoReflectorFoundException | Exception thrown to indicate a suitable reflector for a reflection operation could not be found. |
| ReflectionException | Indicates an error occurred accessing or manipulating information while using a Reflector. |
Defines notions of "bean-like" and "container-like" holders of information by definining a standard API for accessing such information. Reflectors provide a stateless model of for manipulating information in a standard way. As such, they provide the foundation for the implementation of much of the rest of the Morph framework. Namely, they are used heavily in the implementations of Contexts, Wrappers, Transformers, and Languages.
|
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Peep Show’s David Mitchell shares his three-point plan to improve Britain
He thinks MPs should be paid more provided they don't undertake any other paid engagements
Peep Show actor David Mitchell has shared a three-point plan he thinks would improve Britain.
In a new interview with BBC’s Newsnight, Mitchell, who played Mark Corrigan in hit British comedy series Peep Show, offered a manifesto that he thinks would make for a better country.
“Firstly, proportional representation,” he began. “So the percentage of the vote a party gets, dictates the percentage of the seats in the House of Commons it gets. I think that would be more sensible.”
Moving onto his second point, Mitchell thinks “MPs should be paid a lot more while at the same time saying they can’t do anything else and that includes when they retire.”
Elaborating on this point, he added: “So when they retire, or they get voted out, you give them a decent pension, but you say ‘you can’t get involved in business,’ so that essentially the malign effect of lobbyists is massively reduced.
His third point focuses on carbon tax. “I think we’re a money obsessed world and we have to somehow equate the the environmental cost with the financial cost of things,” he said. “So a lot of things that do environmental damage have to be made more expensive, unpopular though that will be.”
He added: “And that’s the keyword, unpopular and that’s why my manifesto will never be put into action.”
Watch the interview clip below:
Earlier this year, it was revealed that hit Peep Show is set to make a return with a US adaptation in development, complete with gender reversed lead roles.
In a self-penned article for The Guardian, Sam Bain, who created Peep Show with Jesse Armstrong (Succession), revealed the news about the show’s developments while talking about diversity.


| Package | Description |
|---|---|
| com.mood.jenaPlus |
| Modifier and Type | Class and Description |
|---|---|
class |
MPModel<V extends MPView>
Created by carrotji on 2017-02-25.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AddMoodActivity
This is the main activity to add a mood.
|
class |
EditMoodActivity
This is the main activity to edit a mood.
|
class |
FilteredDateActivity
This activity is used to view participant mood events filtered by the most recent seven days.
|
class |
FilteredLocationActivity
This activity is used to view participant mood events filtered by location.
|
class |
FilteredMoodActivity
This activity is used to view participant mood events filtered by emotional states.
|
class |
FilteredTextActivity
This activity is used to view participant mood events filtered by text or key word.
|
class |
FilterFollowDateActivity
This activity is used to view all of the moods of people that the participant
follows.
|
class |
FilterFollowLocationActivity
This activity is used to view all of the moods of people that the participant
follows.
|
class |
FilterFollowMoodActivity
This activity shows only one type of mood that was specified from the option in the main
activity.
|
class |
FilterFollowTextActivity
This activity is used to view all of the moods of people that the participant
follows.
|
class |
FollowActivity
This activity is used when a participant wants to follow another participant.
|
class |
FollowerRequestActivity
This activity is used to view the follower requests
From clicking the menu in the Navigation drawer.
|
class |
FollowingListActivity
This class is used to view all the participants someone follows.
|
class |
FollowingViewActivity
Fragment for mood events of the people you are following
This fragment will only show the most recent mood from the participants you are following,
provided that they have a mood.
|
class |
GraphActivity
This is the bar chart activity class of the statistics.
|
class |
MoodListViewActivity
Main Fragment for the user mood events activity
Created by carrotji on 2017-03-25.
|
class |
MoodPlusActivity
This is the main activity class of the MoodPlus application.
|
class |
StatsActivity
This is the pie chart activity class of the statistics.
|
class |
ViewMoodActivity
This is for viewing mood events.
|
class |
WelcomeActivity
This is the start up activity, allow the user to log in to
the MoodPlus Application.
|


binary_operation_obj Struct Template Reference
[STL-like Algorithms]
#include <algorithm.hpp>
Inherited by copy_and_convert_pixels_fn, copy_pixels_fn, and equal_pixels_fn.
List of all members.
Detailed Description
template<typename Derived, typename Result = void>
struct boost::gil::binary_operation_obj< Derived, Result >
A generic binary operation on views
Use this class as a convenience superclass when defining an operation for any image views. Many operations have different behavior when the two views are compatible. This class checks for compatibility and invokes apply_compatible(V1,V2) or apply_incompatible(V1,V2) of the subclass. You must provide apply_compatible(V1,V2) method in your subclass, but apply_incompatible(V1,V2) is not required and the default throws std::bad_cast.
|
Public Types |
|
typedef Result | result_type |
Public Member Functions |
|
template<typename V1, typename V2> |
| GIL_FORCEINLINE result_type | operator() (const std::pair< const V1 *, const V2 * > &p) const |
|
template<typename V1, typename V2> |
| GIL_FORCEINLINE result_type | operator() (const V1 &v1, const V2 &v2) const |
|
result_type | operator() (const error_t &) const |
The documentation for this struct was generated from the following file:


Stream Data is a REST API that allows applications to retrieve a list of legal stream URLs for a given title. Database loading script and a Flask based REST API sever is written in Python.
The app uses legal stream link data Because.moe. The difference is that the whole stream data does not need to be downloaded completely and only need to retreive what you need. You will be able to use the title or MyAnimeList ID to look up links for a given title.
StreamData only supports Python 3 and is Open Sourced.
Providing stream links to your applications allows users to find where to watch a given show through legal streaming. Illegal/Pirated streams hurts the creators and animation studios that make an anime production possible. StreamData only provides legal sources where you can watch a given title (e.g. Crunchyroll, Funimation, Amazon, HiDive, etc) and not illegal sources.
This API enables you to obtain links where the user can watch a show legally through your app for a given title. StreamData only supports the following regions: United States, Canada, United Kingdom and Australia.
StreamData is a free service and you do not need to be an active Patron to use it. If you want to help us keep the service running, feel free to become a Patron for as little as $1 a month.
StreamData uses two different scripts. load.py is the script that is set to run as a cron job that refreshes the data in the database on a DBMS running MySQL/MariaDB. It performs some ETL (Extract, Transform, and Load). It downloads the stream data from the provider, load it to a staging table. The data is transformed and loaded to the data model.
The frontend provides the rest API, allowing the user's apps to obtain stream data by title or MyAnimeList title id.
GET http://streamdata.malupdaterosx.moe/search/(region)?q=(search term)
| Parameter | Value | Required |
|---|---|---|
| region | us or ca or uk or ai |
true |
| q | Title (URL Encoded) | true |
[GET] http://streamdata.malupdaterosx.moe/search/us?q=Kandagawa%20Jet%20Girls
{
"data": [
{
"mal_id": 40196,
"regionname": "us",
"sitename": "vrv-hidive",
"title": "Kandagawa Jet Girls",
"url": "https://vrv.co/series/GYW4N30E6"
},
{
"mal_id": 40196,
"regionname": "us",
"sitename": "hidive",
"title": "Kandagawa Jet Girls",
"url": "https://www.hidive.com/stream/kandagawa-jet-girls/s01e001"
}
],
"meta": {
"count": 2,
"query": "Kandagawa Jet Girls",
"region": "us"
}
}
GET http://streamdata.malupdaterosx.moe/lookup/(region)/(MAL ID)
| Parameter | Value | Required |
|---|---|---|
| region | us or ca or uk or ai |
true |
| MAL ID | MyAnimeList Title ID | true |
[GET] http://streamdata.malupdaterosx.moe/lookup/us/40196
{
"data": [
{
"mal_id": 40196,
"regionname": "us",
"sitename": "vrv-hidive",
"title": "Kandagawa Jet Girls",
"url": "https://vrv.co/series/GYW4N30E6"
},
{
"mal_id": 40196,
"regionname": "us",
"sitename": "hidive",
"title": "Kandagawa Jet Girls",
"url": "https://www.hidive.com/stream/kandagawa-jet-girls/s01e001"
}
],
"meta": {
"count": 2,
"query": "Kandagawa Jet Girls",
"region": "us"
}
}
StreamData is open source and licensed under Apache License 2.0


This plugin defines a global navigator.camera object, which provides an API for taking pictures and for choosing images from the system's image library.
This plugin defines a global navigator.camera object, which provides an API for taking pictures and for choosing images from the system's image library.


TXT's Hueningkai screams in red in 'Magic Island' teaser clip
by germainejTXT's Hueningkai screamed in red in a teaser clip for 'Magic Island'!
Different than the previous members' teasers, the dramatic teaser clip features Hueningkai as he seems to be fighting off something. As previously reported, the 'Magic Island' clip teases TXT's full album 'The Dream Chapter: MAGIC', which centers around a magical forest on an island.
Check out Hueningkai's teaser above, Soobin's teaser, and Yeonjun and Beomgyu's teasers here if you missed it.


Project Description
For this project, we are going to build a 3D room and create a “see-through window” experience using the masking trick.
Through this project, you will learn to use the layer setting in Spark AR, learn the masking technique, and have a better understanding of the materials.
Assets for this Project
You can download all the assets here: Project B - Woodhouse.zip
- It is strongly recommended that you take the Snowman tutorial before starting this one. The Snowman tutorial provides a very detailed walk-through of the basic functions that will not be covered here.
Set Up Tracking
For this step, you need to:
- Create a new project
- Add fixedTargetTracker to the scene (or select Target Tracking while creating project)
- Import the images
- Change fixedTargetTracker image to window texture
After you’re done, the project will look like this:
These steps have been covered in the Snowman. If you’re not familiar with them, please refer to the Snowman tutorial.
Setting Up Room Space
For this project, we want to create a “see-through window” experience for the user to get a feel of the interior space. Therefore, we need to build a room space.
Place a Reference Image
To match the virtual room size with the paper model, we can use a reference image as a guidance when creating the space.
- Add a Plane on the tracker and set its material using the whole-building image.
- Scale and move the reference image and match the window section with the tracker image.
- Set material opacity to 0.6. Now you have a view of the whole building in the editor.
Set Up the Walls
- Create a material named “wall-mat” and select “wood-wall-texture”.
- Create five planes and position them into a room behind the reference image.
- Using the reference image, we can match the wall with the building image size. This will make the AR effect more realistic.
Install Furniture
- There are some images you can use as furniture. Create materials for each and position them wherever you like.
- It's kind of like creating layered paper art. The difference of depth (position z) creates parallax effects when you view the effect on your device.
- While placing the furniture, you may notice some weird situations where the foreground image cuts out the background image.
- To solve this issue, we need to grasp a better understanding of Material and Layer.
The Transparent Issue
It's kind of weird that the transparent part of an image would block the images behind it. This is due to Spark AR’s treatment of images with transparent and semi-transparent images. But it's not really the fault of the Spark team; it's a common occurrence issue in real-time rendering.
There are two ways to fix this problem in Spark AR, each with its pros and cons.
Fixing by using Alpha Test
In Spark AR, even if part of the image is totally transparent (0% opacity), it does not mean “none” or “nothing” in 3D. The shape will remain visible. You can see the outline of the shape being a rectangle when selected.
Checking “Alpha Test” means that you wish to treat the transparent parts as “none”, so the shape will not be visible. The Alpha Test number refers to the opacity threshold, with 10 meaning parts with opacity under 10% will be treated as non-existent, a.k.a. “"cutout”. This kind of material setting is therefore also known as “cutout materials” in other 3D softwares.
By checking Alpha Test on all materials, this issue on furniture can easily be fixed.
This is sufficient for the furniture in this project since the images have solid edges and have no semi-transparent parts. This, however, will not work for semi-transparent images such as the sofa's shadow or the window reflection light.
Therefore, we need another fix for such issues.
Fixing by setting the layers
Layer defines the rendering order of each object. If the object is closer to the camera, the order of its layer should be above other things further back. For now, we will use the layer setting to fix the transparency issues of the sofa shadow and window reflection light.
- Click on the “Layers” label beside “Scene” to switch to Layers Panel.
- Click on the “+ Add Layer” button to add layers. We need four to make the visual right. Double click on the layer's name to rename.
- You set the order of the layers by dragging their names. Rearrange them in the following order: window-light, furniture, shadow, walls.
- Select “wall plane” and you’ll see the layer setting on the right. Set layer to walls.
- You can select multiple objects and assign their layers simultaneously.
- Assign all wall planes to walls layer, all furniture to furniture layer, sofa shadow to shadow layer, and window light plane to the window-light layer.
- Now, the shadow and the window reflection light should look right.
*Opacity and Blend Mode
You can play around with the material's Blending Modes settings. This defines how the image interacts with the image “behind” it. For my project, I chose "Multiply" for the shadow material and "Add" for the light.
If you think that the shadow is too dark or the light is too bright, you can adjust their opacity value.
You can also try using other blend modes to test the results. To find out more about the blend mode, you can check Adobe's user guide page: Adobe - Blending Modes
And if you are not satisfied with build-in blend modes, you could also try positlab's Photoshop blend modes project: https://github.com/positlabs/spark-blend-modes
Animated Fire
You can also create animated images using the image sequence. We have here a fire sequence for practice.
- Click on “Add Asset” in the Assets panel.
- Choose “Animation Sequence” and a new asset will be created. Rename it to “fire-animation”.
- Click on “Choose File” in the inspector and select “sequence images”.
- Now. the texture sequence object fire-[1-3] is created.
- Create a material and set the texture to “fire-animation”. Now you can see the fire being animated.
- You can change the animation speed by altering its FPS value.
Setting Up the Lights
As fire is burning inside the house, the lights should flicker. Let's set up some lights instead of using the default lighting.
Adding Lights into the Scene
- Delete the default directionalLight0 (this object is automatically generated when the project is created).
- Pick ambientLight0 and set its Intensity value to 30.
- Add a “Point Light” object and make sure it is under the fixedTargetTracker0 hierarchy.
- Place the point light in front of fireplace.
- Set the light's intensity to 200 (you can set to above 100 by typing in the value) and range to 0.5.
Animating the Light Intensity
- Click on the arrow beside Intensity value To display Patch Editor panel. Add a transition patch and a loop animation patch. This is similar to the animation section in Project A (Snowman).
- The default transition patch transforms three values (x, y, z)., but the intensity value only requires one. Click on the transition patch, then click on the Vector3 box and change the value to number.
- Connect the inputs and outputs. Play around with different values to find the flickering pattern you like.
- You can also animate ambient lights. The loop animation patch can be used for both transition patches should you want to sync their animation.
*Light Types
If you want to find out more about different lighting types, you can check the official guide: Lights in Spark AR Studio
Test the Room
Now the room is ready for you to test with your device. It should look something like this:
Oops! The whole wall is transparent, while what we want is a see-through-window experience. So, we now need to set up the mask.
 This is because our device cameras only capture 2D images from the real world, which lacks information on depth. To make virtual objects render behind real-world images, we need masks.
In Spark AR Studio, a mask can be created through transparent materials with proper layer settings.
Set Up Walls Mask
- Create a plane named “mask-plane” and create a material named “mask-mat”.
- Change the shader type to flat and set its opacity to 0.
- Select “mask-plane”, click on “layer” on the right, and click on “Create New Layer”.
- Now, a new layer is created and assigned to the mask-plane.
- Switch to the layer panel by click on “Layer”. Drag the created layer to the bottom (order it to the last).
- You can rename the layer to “mask”.
- Switch back to the scene panel and you should see the mask-plane become transparent, while making the images behind it disappear.
- Duplicate the mask-plane and put them beside the fixedTargetTracker. Make sure you leave a space in the center for the window.
Set Up Window Mask
- The window mask is slightly different. Instead of masking the entire rectangle, we use an image here to define the masking shape.
- Create a new material and rename it to “window-mask-mat”.
- Create a new plane assign the material to it, and rename it to “window-mask-plane”.
- Scale the window-mask-plane to fit the fixedTargetTracker reference. The scale should be 3, 3, 1 for it to fit perfectly.
- Check “Alpha” and set the texture to “window-alpha”.
- Check “Alpha Test”.
- Now, let’s set up the material (window-mask-mat) to make it a mask. Set opacity to 1 and cutoff (see “Alpha Test” section) to 0.
- Set window-mask-plane's layer to “mask”.
- You can see the color change, with the window wall now covering up the background.
- Test with your device. If done correctly, it should look like this:
Now the project is completed. Congratulations!
You should be able to see a result as displayed in the video below:


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---
layout: post
title: Privacy Changes in the 21st Century
date: '2012-07-15T04:31:00.000+09:00'
author: Joshua James
tags:
modified_time: '2012-07-15T04:31:34.358+09:00'
blogger_id: tag:blogger.com,1999:blog-2701259639305045003.post-7149902594758136828
---
http://www.reuters.com/article/2012/07/12/us-usa-internet-predators-idUSBRE86B05G20120712
http://www.govtech.com/public-safety/Half-US-States-Ban-Internet-Stalking.html
http://nakedsecurity.sophos.com/2011/01/21/the-state-of-facebook-security/
Laser molecular scanning
http://gizmodo.com/5923980/the-secret-government-laser-that-instantly-knows-everything-about-you
hacking - why trust it?


The library() function is used to load libraries, or groups of functions and data sets that are not included in the base R distribution. Basic functions that perform least squares linear regression and other simple analyses come standard with the base distribution, but more exotic functions require additional libraries. Here we load the MASS package, which is a very large collection of data sets and functions. We also load the ISLR package, which includes the data sets associated with this book.
library(MASS)
# library(ISLR)
If you receive an error message when loading any of these libraries, it likely indicates that the corresponding library has not yet been installed on your system. Some libraries, such as MASS, come with R and do not need to be separately installed on your computer. However, other packages, such as ISLR, must be downloaded the ﬁrst time they are used. This can be done directly from within R. For example, on a Windows system, select the Install package option under the Packages tab. After you select any mirror site, a list of available packages will appear. Simply select the package you wish to install and R will automatically download the package. Alternatively, this can be done at the R command line via install.packages("ISLR"). This installation only needs to be done the ﬁrst time you use a package. However, the library() function must be called each time you wish to use a given package.
The MASS library contains the Boston data set, which records medv (median house value) for 506 neighborhoods around Boston. We will seek to predict medv using 13 predictors such as rm (average number of rooms per house), age (average age of houses), and lstat (percent of households with low socioeconomic status).
# fix(Boston)
data(Boston)
head(Boston)
names(Boston)
To ﬁnd out more about the data set, we can type ?Boston.
?Boston
We will start by using the lm() function to ﬁt a simple linear regression model, with medv as the response and lstat as the predictor. The basic syntax is lm(y ∼ x,data), where y is the response, x is the predictor, and data is the data set in which these two variables are kept.
lm.fit = lm(medv ∼ lstat)
The command causes an error because R does not know where to ﬁnd the variables medv and lstat. The next line tells R that the variables are in Boston. If we attach Boston, the ﬁrst line works ﬁne because R now recognizes the variables.
lm.fit = lm(medv ~ lstat, data = Boston)
attach(Boston)
lm.fit = lm(medv ~ lstat)
If we type lm.fit, some basic information about the model is output. For more detailed information, we use summary(lm.fit). This gives us p-values and standard errors for the coeﬃcients, as well as the $R^2$ statistic and F-statistic for the model.
lm.fit
summary(lm.fit)
We can use the names() function in order to ﬁnd out what other pieces of information are stored in lm.fit. Although we can extract these quantities by name—e.g. lm.fit$coefficients—it is safer to use the extractor functions like coef() to access them.
names(lm.fit)
coef(lm.fit)
In order to obtain a conﬁdence interval for the coeﬃcient estimates, we can use the confint() command.
confint(lm.fit)
The predict() function can be used to produce conﬁdence intervals and prediction intervals for the prediction of medv for a given value of lstat.
predict(lm.fit , data.frame (lstat = c(5, 10, 15)), interval = "confidence")
predict(lm.fit , data.frame (lstat = c(5, 10, 15)), interval = "prediction")
For instance, the 95 % conﬁdence interval associated with a lstat value of 10 is (24.47, 25.63), and the 95 % prediction interval is (12.828, 37.28). As expected, the conﬁdence and prediction intervals are centered around the same point (a predicted value of 25.05 for medv when lstat equals 10), but the latter are substantially wider.
We will now plot medv and lstat along with the least squares regression line using the plot() and abline() functions.
plot(lstat, medv)
abline(lm.fit)
There is some evidence for non-linearity in the relationship between lstat and medv. We will explore this issue later in this lab.
The abline() function can be used to draw any line, not just the least squares regression line. To draw a line with intercept a and slope b, we type abline(a,b). Below we experiment with some additional settings for plotting lines and points. The lwd=3 command causes the width of the regression line to be increased by a factor of 3; this works for the plot() and lines() functions also. We can also use the pch option to create diﬀerent plotting symbols.
plot(lstat, medv)
abline(lm.fit, lwd = 3)
plot(lstat, medv)
abline(lm.fit, lwd = 3, col = "red")
plot(lstat, medv, col ="red")
plot(lstat, medv, pch = 20)
plot(lstat, medv, pch = "+")
plot(1:20, 1:20, pch = 1:20)
Next we examine some diagnostic plots, several of which were discussed in Section 3.3.3. Four diagnostic plots are automatically produced by applying the plot()( function directly to the output from lm(). In general, this command will produce one plot at a time, and hitting Enter will generate the next plot. However, it is often convenient to view all four plots together. We can achieve this by using the par() function, which tells R to split the display screen into separate panels so that multiple plots can be viewed simultaneously. For example, par(mfrow=c(2,2))* divides the plotting region into a 2 × 2 grid of panels.
par(mfrow = c(2, 2))
plot(lm.fit)
Alternatively, we can compute the residuals from a linear regression ﬁt using the residuals() function. The function rstudent() will return the residuals() studentized residuals, and we can use this function to plot the residuals against the ﬁtted values.
plot(predict(lm.fit), residuals(lm.fit))
plot(predict(lm.fit), rstudent(lm.fit))
On the basis of the residual plots, there is some evidence of non-linearity. Leverage statistics can be computed for any number of predictors using the hatvalues() function.
plot(hatvalues(lm.fit))
which.max(hatvalues(lm.fit))
The which.max() function identiﬁes the index of the largest element of a vector. In this case, it tells us which observation has the largest leverage statistic.
In order to ﬁt a multiple linear regression model using least squares, we again use the lm() function. The syntax lm(y∼x1+x2+x3) is used to ﬁt a model with three predictors, x1, x2, and x3. The summary() function now outputs the regression coeﬃcients for all the predictors.
lm.fit = lm(medv ~ lstat + age, data = Boston)
summary(lm.fit)
The Boston data set contains 13 variables, and so it would be cumbersome to have to type all of these in order to perform a regression using all of the predictors. Instead, we can use the following short-hand:
lm.fit = lm(medv ~ ., data = Boston)
summary(lm.fit)
We can access the individual components of a summary object by name (type ?summary.lm to see what is available). Hence summary(lm.fit)\$r.sq gives us the $R^2$, and summary(lm.fit)$sigma gives us the RSE. The vif() function, part of the car package, can be used to compute variance inﬂation factors. Most VIF’s are low to moderate for this data. The car package is not part of the base R installation so it must be downloaded the ﬁrst time you use it via the install.packages option in R.
library(car)
vif(lm.fit)
What if we would like to perform a regression using all of the variables but one? For example, in the above regression output, age has a high p-value. So we may wish to run a regression excluding this predictor. The following syntax results in a regression using all predictors except age.
lm.fit1 = lm(medv ~ . - age ,data = Boston)
summary(lm.fit1)
Alternatively, the update() function can be used.
lm.fit1 = update(lm.fit, ~ . - age)
It is easy to include interaction terms in a linear model using the lm() function. The syntax lstat:black tells R to include an interaction term between lstat and black. The syntax lstatage simultaneously includes lstat, age, and the interaction term lstat$\times$age as predictors; it is a shorthand for lstat+age+lstat:age*.
summary(lm(medv ~ lstat*age, data = Boston))
The lm() function can also accommodate non-linear transformations of the predictors. For instance, given a predictor X, we can create a predictor $X^2$ using I(X^2). The function I() is needed since the ^ has a special meaning in a formula; wrapping as we do allows the standard usage in R, which is to raise X to the power 2. We now perform a regression of medv onto lstat and $lstat^2$.
lm.fit2 = lm(medv ~ lstat + I(lstat^2))
summary(lm.fit2)
The near-zero p-value associated with the quadratic term suggests that it leads to an improved model. We use the anova() function to further quantify the extent to which the quadratic ﬁt is superior to the linear ﬁt.
lm.fit = lm(medv ~ lstat)
anova(lm.fit, lm.fit2)
Here Model 1 represents the linear submodel containing only one predictor, lstat, while Model 2 corresponds to the larger quadratic model that has two predictors, lstat and $lstat^2$. The anova() function performs a hypothesis test comparing the two models. The null hypothesis is that the two models ﬁt the data equally well, and the alternative hypothesis is that the full model is superior. Here the F-statistic is 135 and the associated p-value is virtually zero. This provides very clear evidence that the model containing the predictors lstat and $lstat^2$ is far superior to the model that only contains the predictor lstat. This is not surprising, since earlier we saw evidence for non-linearity in the relationship between medv and lstat. If we type
par(mfrow = c(2, 2))
plot(lm.fit2)
then we see that when the $lstat^2$ term is included in the model, there is little discernible pattern in the residuals.
In order to create a cubic ﬁt, we can include a predictor of the form I(X^3). However, this approach can start to get cumbersome for higher-order polynomials. A better approach involves using the poly() function to create the polynomial within lm(). For example, the following command produces a ﬁfth-order polynomial ﬁt:
lm.fit5 = lm(medv ~ poly(lstat, 5))
summary(lm.fit5)
This suggests that including additional polynomial terms, up to ﬁfth order, leads to an improvement in the model ﬁt! However, further investigation of the data reveals that no polynomial terms beyond ﬁfth order have signiﬁcant p-values in a regression ﬁt.
Of course, we are in no way restricted to using polynomial transformations of the predictors. Here we try a log transformation.
summary(lm(medv ~ log(rm), data = Boston))
We will now examine the Carseats data, which is part of the ISLR library. We will attempt to predict Sales (child car seat sales) in 400 locations based on a number of predictors.
# data(Carseats)
Carseats = read.csv("../../../data/Carseats.csv")
head(Carseats)
names(Carseats)
The Carseats data includes qualitative predictors such as Shelveloc, an indicator of the quality of the shelving location—that is, the space within a store in which the car seat is displayed—at each location. The predictor Shelveloc takes on three possible values, Bad, Medium, and Good. Given a qualitative variable such as Shelveloc, R generates dummy variables automatically. Below we ﬁt a multiple regression model that includes some interaction terms.
lm.fit = lm(Sales ~ . + Income:Advertising + Price:Age, data = Carseats)
summary(lm.fit)
The contrasts() function returns the coding that R uses for the dummy variables.
attach(Carseats)
contrasts(ShelveLoc)
Use ?contrasts to learn about other contrasts, and how to set them.
R has created a ShelveLocGood dummy variable that takes on a value of 1 if the shelving location is good, and 0 otherwise. It has also created a ShelveLocMedium dummy variable that equals 1 if the shelving location is medium, and 0 otherwise. A bad shelving location corresponds to a zero for each of the two dummy variables. The fact that the coefficient for ShelveLocGood in the regression output is positive indicates that a good shelving location is associated with high sales (relative to a bad location). And ShelveLocMedium has a smaller positive coeﬃcient, indicating that a medium shelving location leads to higher sales than a bad shelving location but lower sales than a good shelving location.
As we have seen, R comes with many useful functions, and still more functions are available by way of R libraries. However, we will often be interested in performing an operation for which no function is available. In this setting, we may want to write our own function. For instance, below we provide a simple function that reads in the ISLR and MASS libraries, called LoadLibraries(). Before we have created the function, R returns an error if we try to call it.
LoadLibraries
LoadLibraries()
We now create the function. Note that the + symbols are printed by R and should not be typed in. The { symbol informs R that multiple commands are about to be input. Hitting Enter after typing { will cause R to print the + symbol. We can then input as many commands as we wish, hitting Enter after each one. Finally the } symbol informs R that no further commands will be entered.
LoadLibraries= function () {
# library (ISLR )
library (MASS )
print (" The libraries have been loaded .")
}
Now if we type in LoadLibraries, R will tell us what is in the function.
LoadLibraries
If we call the function, the libraries are loaded in and the print statement is output.
LoadLibraries()


{% extends "layout.html" %} {% from "shared/ajax_select_field.html" import render_ajax_select_field %} {% from "shared/bookmark.html" import bookmark %} {% from "shared/creation_fields.html" import creation_fields %} {% from 'shared/thumbnail.html' import thumbnail %} {% from "shared/view_changelog_button.html" import view_changelog_button %} {% from "shared/view_revisionlog_button.html" import view_revisionlog_button %} {% from "shared/xeditable_text_field.html" import render_xeditable_text_field %} {% from 'shared/workflow.html' import workflow with context %} {% block page_title %}{{ proc.procedure_number }} - {{ proc.name }}{% endblock %} {% block content %}
| PART NUMBER(s) | REV | NAME / DESCRIPTION | |||
|---|---|---|---|---|---|
| No parts added. | |||||
| Add P/N |


Namespace SpeckleUnity
Classes
ColorByType
ColorKey
Conversions
Contains all extension method definitions for converting Speckle stream object types into native Unity types and vice versa.
RenderingRule
SpeckleUnityClient
Base class for all SpeckleUnity client types. Inherit from this class to define your own client types.
SpeckleUnityGeometry
Base definition for all rendered stream objects. Any Speckle object that needs to be displayed with a game object should inherit from this class.
SpeckleUnityManager
Manages the stream interactions for a single user in the scene and exposes parameters that control the output of the stream conversion.
SpeckleUnityMesh
A stream object represented as a gameobject with a MeshRenderer
. Also adds a
MeshCollider
to the object. The material is assigned by the SpeckleUnityReceiver
.
SpeckleUnityNumber
Contains a float, no game object to display
SpeckleUnityObject
Base class for all native SpeckleUnity objects
SpeckleUnityPoint
Display Point. Uses a line renderer for display. The material is assigned by the
SpeckleUnityReceiver
.
SpeckleUnityPolyline
Used to display lines, curves, or polylines as a game object with a LineRenderer
.
The material is assigned by the SpeckleUnityReceiver
.
SpeckleUnityReceiver
A SpeckleUnityClient
specialised in receiving streams and updating the scene to reflect
any updates made to the stream. Made serializable so that it would render in the inspector along
with its exposed fields.
SpeckleUnitySender
A SpeckleUnityClient
specialised in sending streams and updating the server to reflect
any updates made to the scene. Made serializable so that it would render in the inspector along
with its exposed fields.
SpeckleUnityUpdate
A container of data describing what stream just got updated, what Transform
it's under
and what type of update it had so that user code can respond accordingly.
SpeckleUnityUpdateEvent
A custom UnityEvent
type for assigning methods to in the inspector of a manger instance.
The methods need to be public and accept a single argument of type SpeckleUnityUpdate
in order to be assignable.
WSMessageData
Concrete type for the json structure of the web socket message data to deserialize into.
WSMessageDataArgs
Concrete type for the json structure of the nested web socket message argument data to deserialize into.
Enums
SpawnSpeed
An enum for controlling how quickly geometry objects get isntantiated into the scene. The Instant value simply means all objects will be spawned in the same frame. (Technically, it caps out at 2 billion, but who in the world is making streams bigger than 2 billion...)
StartMode
An enum for controlling what the default start behaviour of a SpeckleUnityManager
would be.
UpdateType
The type of update that a receiver was notified of for a given stream.
Delegates
SpeckleUnityValueChange
A delegate which is invoked whenever a stream is updated. Intended for use with the
SpeckleUnitySender
which will eventually be supported.


Azure Resource Manager REST APIs are the heart of interacting with Azure, and form the connecting glue between your applications and Azure. They are described by specifications conforming to the OpenAPI Specification (formally known as Swagger 2.0). The OpenAPI specification provides a standard, language-agnostic interface to REST APIs.
The Open API Initiative is part of the Linux Foundation and run under an open governence structure. It is focused on creating, evolving and promotin a vendor neutral description format.
Select the Azure management API, Click Authorize, and start interacting with the management APIs.
When you execute each API, you will see all of the HTTP details used. You'll even get a curl command you can execute from your shell. Thank you to SwaggerUI and OpenAPI Initiative.


Before Change
// Contains the one-to-one mapping of EIA plants to their operators, but
// we only have the 860 data integrated for 2011 forward right now.
plants_eia860 = pd.read_sql(
"""SELECT * FROM plants_eia860""", pudl_engine)
plants_eia860 = plants_eia860[["year", "plant_id", "operator_id"]]
// For the PUDL Utility & Plant IDs, as well as utility & plant names:
utils_eia = pd.read_sql("""SELECT * FROM utilities_eia""", pudl_engine)
After Change
pt = models.PUDLBase.metadata.tables
// Most of the fields we want come direclty from Fuel Receipts & Costs
frc_tbl = pt["fuel_receipts_costs_eia923"]
frc_select = sa.sql.select([frc_tbl, ])
frc_df = pd.read_sql(frc_select, pudl_engine)
// Need a year column to merge with EIA860 data which is annual.
frc_df["year"] = pd.to_datetime(frc_df["report_date"]).dt.year


Lottery tickets sold in Mississippi for 1st time in state's history
Mississippi residents lined up on Monday to buy lottery tickets for the first time in the state's history.
However, only scratch-off tickets were for sale, while jackpots such as the Powerball and Mega Millions games will be available starting Jan. 30, according to the Mississippi Lottery website.
Legislation allowing lottery games in Mississippi was passed in 2018. Winners can choose to remain anonymous as long as they provide a valid form of identification when claiming their winnings.
The decision faced strong opposition from churches that wield political power, The Associated Press reported.
Lottery tickets were available in about 1,200 convenience stores on Monday, according to AP.
The first $80 million in proceeds the lottery generates every year will go to state infrastructure, and any revenue after that will go to state education, according to the Mississippi Lottery website.
The state had generated $300,000 in ticket sales in the first two hours after the scratch-offs became available, AP reported.
Unlike other states, which sell lottery tickets as cash-only purchases, Mississippi allows people to use a credit or debit card without an additional fee, ABC Jackson, Mississippi, affiliate WAPT reported.
Alabama, Alaska, Hawaii, Nevada and Utah are the five remaining states without lotteries.


static <K,V> MapStream<K,V> |
MapStream.concat(MapStream<? extends K,? extends V> a,
MapStream<? extends K,? extends V> b) |
Creates a stream of map entries whose elements are those of the first stream followed by those of the second
stream.
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MapStream<K,V> |
MapStream.distinct() |
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static <K,V> MapStream<K,V> |
MapStream.empty() |
Returns an empty map stream.
|
MapStream<K,V> |
MapStream.filter(BiPredicate<? super K,? super V> predicate) |
Filters the stream by applying the predicate function to each key and value.
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MapStream<K,V> |
MapStream.filter(Predicate<? super Map.Entry<K,V>> predicate) |
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<R> MapStream<R,V> |
MapStream.filterKeys(Class<R> castToClass) |
Filters the stream checking the type of each key.
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MapStream<K,V> |
MapStream.filterKeys(Predicate<? super K> predicate) |
Filters the stream by applying the predicate function to each key.
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<R> MapStream<K,R> |
MapStream.filterValues(Class<R> castToClass) |
Filters the stream checking the type of each value.
|
MapStream<K,V> |
MapStream.filterValues(Predicate<? super V> predicate) |
Filters the stream by applying the predicate function to each value.
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<R> MapStream<R,V> |
MapStream.flatMapKeys(BiFunction<? super K,? super V,Stream<R>> mapper) |
Transforms the keys in the stream by applying a mapper function to each key and value.
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<R> MapStream<R,V> |
MapStream.flatMapKeys(Function<? super K,Stream<R>> mapper) |
Transforms the keys in the stream by applying a mapper function to each key.
|
<R> MapStream<K,R> |
MapStream.flatMapValues(BiFunction<? super K,? super V,Stream<R>> mapper) |
Transforms the values in the stream by applying a mapper function to each key and value.
|
<R> MapStream<K,R> |
MapStream.flatMapValues(Function<? super V,Stream<R>> mapper) |
Transforms the values in the stream by applying a mapper function to each value.
|
MapStream<K,List<V>> |
MapStream.groupingAndThen() |
Returns a stream built from a map of the entries in the stream, grouped by key.
|
<A,R> MapStream<K,R> |
MapStream.groupingAndThen(Collector<? super V,A,R> valueCollector) |
Returns a stream built from a map of the entries in the stream, grouped by key.
|
MapStream<V,K> |
MapStream.inverse() |
Returns a stream where the keys and values are swapped.
|
MapStream<K,V> |
MapStream.limit(long maxSize) |
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<RK,RV> MapStream<RK,RV> |
MapStream.mapBoth(BiFunction<? super K,? super V,Map.Entry<RK,RV>> mapper) |
Transforms the entries in the stream by applying a mapper function to each key and value.
|
<R> MapStream<R,V> |
MapStream.mapKeys(BiFunction<? super K,? super V,? extends R> mapper) |
Transforms the keys in the stream by applying a mapper function to each key and value.
|
<R> MapStream<R,V> |
MapStream.mapKeys(Function<? super K,? extends R> mapper) |
Transforms the keys in the stream by applying a mapper function to each key.
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<R> MapStream<K,R> |
MapStream.mapValues(BiFunction<? super K,? super V,? extends R> mapper) |
Transforms the values in the stream by applying a mapper function to each key and value.
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<R> MapStream<K,R> |
MapStream.mapValues(Function<? super V,? extends R> mapper) |
Transforms the values in the stream by applying a mapper function to each value.
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static <K,V> MapStream<K,V> |
MapStream.of(Multimap<K,V> multimap) |
Returns a stream over all the entries in the multimap.
|
static <T,K,V> MapStream<K,V> |
MapStream.of(Collection<T> collection,
Function<? super T,? extends K> keyFunction,
Function<? super T,? extends V> valueFunction) |
Returns a stream of map entries where the keys and values are extracted from a
collection by applying a function to each item in the collection.
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static <V> MapStream<V,V> |
MapStream.of(Collection<V> collection) |
Returns a stream of map entries where the keys and values are taken from a collection.
|
static <K,V> MapStream<K,V> |
MapStream.of(Collection<V> collection,
Function<? super V,? extends K> keyFunction) |
Returns a stream of map entries where the values are taken from a collection
and the keys are created by applying a function to each value.
|
static <K,V> MapStream<K,V> |
MapStream.of(Map<K,V> map) |
Returns a stream over the entries in the map.
|
static <T,K,V> MapStream<K,V> |
MapStream.of(Stream<T> stream,
Function<? super T,? extends K> keyFunction,
Function<? super T,? extends V> valueFunction) |
Returns a stream of map entries where the keys and values are extracted from a
stream by applying a function to each item in the stream.
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static <V> MapStream<V,V> |
MapStream.of(Stream<V> stream) |
Returns a stream of map entries where the keys and values are taken from a stream.
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static <K,V> MapStream<K,V> |
MapStream.of(Stream<V> stream,
Function<? super V,? extends K> keyFunction) |
Returns a stream of map entries where the values are taken from a stream
and the keys are created by applying a function to each value.
|
MapStream<K,V> |
MapStream.onClose(Runnable closeHandler) |
|
MapStream<K,V> |
MapStream.parallel() |
|
MapStream<K,V> |
MapStream.peek(Consumer<? super Map.Entry<K,V>> action) |
|
MapStream<K,V> |
MapStream.sequential() |
|
MapStream<K,V> |
MapStream.skip(long n) |
|
MapStream<K,V> |
MapStream.sorted() |
|
MapStream<K,V> |
MapStream.sorted(Comparator<? super Map.Entry<K,V>> comparator) |
|
MapStream<K,V> |
MapStream.sortedKeys() |
Sorts the entries in the stream by comparing the keys using their natural ordering.
|
MapStream<K,V> |
MapStream.sortedKeys(Comparator<? super K> comparator) |
Sorts the entries in the stream by comparing the keys using the supplied comparator.
|
MapStream<K,V> |
MapStream.sortedValues() |
Sorts the entries in the stream by comparing the values using their natural ordering.
|
MapStream<K,V> |
MapStream.sortedValues(Comparator<? super V> comparator) |
Sorts the entries in the stream by comparing the values using the supplied comparator.
|
MapStream<K,V> |
MapStream.unordered() |
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static <K,V> MapStream<K,V> |
MapStream.zip(Stream<K> keyStream,
Stream<V> valueStream) |
Returns a map stream that combines two other streams, continuing until either stream ends.
|
static <V> MapStream<Integer,V> |
MapStream.zipWithIndex(Stream<V> stream) |
Returns a stream of map entries where each key is the index of the value in the original stream.
|