Abstract
The highest level of education an individual has completed may affect many things,including his interest level in the 2019 federal election.In this report,we use the 2019 CES dataset,which was created based on a non-probability survey takenfor 2019 federal election.By manipulating the data within the dataset,I have found that high level of education is associated with high level of interest in the election.Our findings have implications for understanding the potential audience for the election.
Introduction
The 2019 federal election in Canada draws the the eyes of people around the world.While people do not usually have similar attitudes towards the election because they have different experiences.In this report,we study the dataset named CES2019_WEB,which was extracted from 2019 Canadian Election Study.In this case,we can get to know how the characteristics associated with the participants influence their views toward election.My findings may give suggestions to people who work on election advertisement.
This report is mainly surrounding two variables.Firstly,The variable,CPS19_INTEREST_ELXN_1,is a discrete numerical variable and records the how interested the participants are in the 2019 federal election.Secondly,CES19_EDUCATION, is an ordinal categorical variable and it records the education level of each participant.By connecting these two variables,I can learn how the education level completed by an individual affects his interest level towards the election.To be more specific,we find that the higher education level one has completed,the greater interest he may show towards the election.
The first part of my report is Data section.At the beginning,it remarks the source and description of my dataset.Then,it talks about the basic information and summary statistics of my interesting variables.The Graph sector includes two graphs based on the chosen variables.Then,the Discussion sector describes my findings from the graphs,features of variables and the implications of the study.Furthermore,the weaknesses associated with my data and the ideas to solve overcome them are specified in the sectors “Weaknesses” and “Next steps”,respectively.Finally,the references of the dataset are concluded in the sector of “References”.Our weaknesses involve excess outliers and data insufficiency.Such issues may cause our final conclusion to be inaccurate.To tackle them,I would try to filter out unusual observations and find out more related and useful data.
Data
The dataset used in this paper is called CES2019-WEB.It is extracted from the 2019 Election Study located within the website (http://www.ces-eec.ca").
This dataset records participants’ responses to a non-probability survey conducted for 2019 federal election.To be more detailed,the data within the set demonstrates the participants’ personal information(gender,citizenship and education level,etc.),and their attitudes toward the election-related issues(parties of popular competitors and the new political policies regarding the election)
Here is the preview of the dataset called ces2019_web.We see that it contains 620 variables in total.A large fraction of them are categorical and a small part are numerical.
Summary Statistics
The variable,CPS19_INTEREST_ELXN_1,is a discrete numerical variable and it records the how interested the participants are in the 2019 federal election.Before identifying the summary statistics,observe that this variable contains missing values.After filtering these values out,we find that the interest level of participants ranges from 0 to 10(from“Not interested” to “Very interested”).Furthermore,the 25th percentile of this variable is 6,the median is 8,and the 75th percentile is 9.Moreover,the mean of the variable is 7.08,which is smaller than the median.This implies that the plot showing the distribution of the interest level may left-skewed.Finally,the standard deviation of this variable is 2.475382.
Moreover,CPS19_EDUCATION is an ordinal categorical variable and records the highest education level completed by each participant.We observe that some participants do not want to tell their education level so they leave their responses as“Don’t know/ Prefer not to answer”.After removing these observations,we find that the highest education level completed by the participants ranges from “No Schooling” to “profession/doctorate degree”.
Specification:The variable,CPS2019_EDUCATION,contains 11 different education levels.The 11 groups are ordered.If we rank them from low to high,it will be:
1.No schooling
2.Some elementary school
3.Completed elementary school
4.Some secondary/ high school
5.Completed secondary/ high school
6.Some technical, community college, CEGEP, College Classique
7.Completed technical, community college, CEGEP, College Classique
8.Some university
9.Bachelor’s degree
10.Master’s degree
11.Profession/doctorate degree
Graphs
On the X-axis,the education level is increasing from left to right(From “No Schooling” to “professional/doctorate degree”).The specific order is same as the order in additional table stated below.
Additional Table
Discussion
Graph 1 discussion
(In graph 1,the education level is increasing from left to right/from “No Schooling” to “professional/doctorate degree”.The specific order is same as the order shown in additional table,while we neglect the sector of “Don’t know/ Prefer not to answer”) The graph 1 demonstrates the distribution of scores given by participants on “how interested are you in the federal election”.Its shape is obviously left-skewed.This implies the majority of the participants in the survey give very high scores when answering the question.To be more specific,they rate their interest levels from 7 to 10.The other important thing is that the most of the participants rate their interest at 8.0,while the least of them rate the interest at 0.
Graph 2 discussion.
(In graph 2,the education level is increasing from left to right/from “No Schooling” to “professional/doctorate degree”.The specific order is same as the order shown in additional table,while we neglect the sector of “Don’t know/ Prefer not to answer” ) The graph 2 is a boxplot and it has “Education level”on the X-axis and “interest level” on the Y-axis.The variable of “Education level” contains 11 groups of participants.Each group represents a specific education level.From the plot,we observe that the average interest level is going up due to the increase in the education level associated with participants(average does not strictly increase,there are some ties).In addition,as the education level increases,the lower quantile associated with box is becoming higher while the upper quantile does not obviously differ.This implies that the participants within the groups representing higher education levels have their interest levels more concentrated and they are more interested in the election than the participants completed low-level education.
If we put the two findings above together,we can conclude that the higher education background one has obtained,the greater interest he may show towards the federal election.
Weaknesses:
1.During the process to find the relationship between the education level of the participants and how interested they are in elction,I have found an issue that people who have same education background may have obviously different attitudes towards election.For example,in the group of “No Schooling”,the interest level ranges from 2 to 8.This means that although this group of people have similar education,some of them care very less about election,some are very cordial about it.Such situation seems weird and may affect the final conclusion for the “No Schooling”group.
2.In addition,only a small fraction of participants have specific education background.For example,participants who obtain the professional/doctorate degree account for less than 1% of total participants.Such situation is not beneficial because insufficient data may lead to conclusion that is not persuasive.
Next steps:
In order to reduce the impact of weaknesses on the result,I will make some amendments in the next steps.Firstly,I will filter out the participants who give very low mark or very high mark when answering“how are you interested in the federal election”.This can effectively reduce the outliers and make sure the conclusion is relatively accurate.To solve the second issue,I will try to look for more information regarding the people with specific education background(ex.doctoral degree)and add them to the current dataset.On the other hand,removing the small groups may be applicable as well,but this may reduce the diversity of the data.
References
Stephenson, Laura B; Harell, Allison; Rubenson, Daniel; Loewen, Peter John, 2020, ‘2019 Canadian Election Study - Online Survey’, https://doi.org/10.7910/DVN/DUS88V, Harvard Dataverse, V1
- Stephenson, Laura, Allison Harrel, Daniel Rubenson and Peter Loewen. Forthcoming. ‘Measuring Preferences and Behaviour in the 2019 Canadian Election Study,’ Canadian Journal of Political Science.
LINK: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DUS88V


Homotopy type theory (HoTT) is a mathematical framework and a flavor of Type Theory that treats types as spaces (“space” as in abstract geometry) and one can apply the machinery of homotopy theory over those spaces. Homotopy theory is a part of algebraic geometry which deals with functions between topological spaces. HoTT essentially enables one to use the API of homotopy theory by letting us treat types as spaces.
An n-dimensional space can be thought as a collection of n numbers from a field and n directions or bases. Thus we can construct spaces from fields. For e.g. any point in 2-dimensional space of real numbers ℝ can be represented as \(a × x + b × y\) where \(a, b ∈ ℝ\).
A path is a line joining two points. This path can be of any shape, be it a straight line or an extremely squiggly one.
Technically, a path p between two points x
and y
can be represented as a function f
that takes a continuous value t
and returns a point on the path f(t)
such that the first point is x
\(f(0) = x\) and the last point is y
\(f(1) = y\) and \(0 ≤ t ≤ 1\). It might need to be reminded that such a path might not actually exist as a continuous line through space but may help if imagined as such.
Now, we could take any two paths between the same points and stretch / squeeze one path into another. This process can be used to capture relationships between two paths and is called homotopy. More formally,
A homotopy between two paths p(t)
and q(t)
is defined as a continuous function H(t, h)
such that:
There can exist multiple paths between two objects and hence multiple homotopies between them. Homotopies can be thought of as 2-dimensional paths or path-of-path if paths are 1-dimensional paths. Homotopies are built on equivalence relations and hence fit into its API, i.e. homotopy respects reflexivity, symmetry and transitivity, and can be used to build equational reasoning chanins.
Two homotopies H1
and H2
can themselves be called equal if \(H(0, h) = H(1, h) = x₀\), i.e. if x
and y
are the same point. We can use this equivalence relation and the fact that homotopies have inverses, to build a group structure around these homotopies, called as the fundamental group.
We can have n-dimentional paths from n-equalitites or homotopies of homotopies of homotopies of homotopies and so on. Such a structure of infinite levels of homotopies with points followed by paths as base is called the ∞-groupoid. Every space can be turned into its ∞-groupoid and then homotopy theory can be applied to it as well as every ∞-groupoid can yield a fundamental group. This fact connects algebraic topology (which uses the fundamental group) and category theory (which builds on the ∞-groupoid).
In HoTT, each type can be represented as an ∞-groupoid. Each pair of objects x
and y
of a type can have an typelevel equality type \(x ≡_A y\). For example in python:
These equalities can have further equalities \((x_1 ≡_A y_1) ≡_{(x ≡_A y)} (x_2 ≡_A y_2)\). Note: higher levels cannot be done trivially in python.
The induction principle is central to deriving all basic constructions for HoTT. Stated simply, if for every pair of objects x
and y
of type A
- the equality type \(≡_A\) between x
and y
exists everytime x
and y
are equal - for every x ∈ A
, the equalities \(x ≡_A x\) are reflexive then for a proposition C
which depends upon the equality \(x ≡_A y\), it turns out that it is sufficient to prove C
for all cases where \(x ≡_A x\) alone and it becomes automatically applicable for cases for all \(x ≡_A y\).


No data available for {{missing}}. Note that some data is only visible when
signed in
with a chromium.org account, which is linked to a google user.


Bicycling, Hiking, Football (Soccer), Chess, etc.
My main bike is a Surly Crosscheck that I take to various
places. I'll put some better videos up soon.
Places I like to hike:
Breakneck Ridge (Bear Mountain)
Boroughs Range (Catskills: Slide Mountain, Cornell,
Whitenberg)
Veerkerderkill Falls and Ice Caves (Sam's point)
Mount Tamany (Delaware Watergap)
Multiple trails (Acadia National Park)
Multiple trails (Great Smokey Mountain National Park)
Some interesting places I have biked through:
Cycling around North Jersey
Here is a video of my bike commute:
Kearny to Newark
I used to play football in high school, but haven't had
much time for it these days. Now I'm more of a
spectator. I mostly follow the USMNT, Juventus,
Liverpool, and Sheffield Wednesday.
USMNT training 2011


| com.github.kvnxiao.kommandant.configurable.CommandConfig |
An object class containing default constants and methods for getting, loading, and saving command configs. |
| com.github.kvnxiao.kommandant.KommandantConfigurable |
An extension of the default Kommandant aggregation which allows one to completely disable or enable a registered command, as well as including a boolean setting to enable or disable command properties being written to and read from JSON files. |


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get(int)
- Static method in enum com.hqme.cm.
QueueRequestState
get(int)
- Static method in enum com.hqme.cm.
ReqEvents.ReqEvent
getCode()
- Method in enum com.hqme.cm.
HqmeError
getCode()
- Method in enum com.hqme.cm.
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getCode()
- Method in enum com.hqme.cm.
VSDEvent
getCommandStatus(int)
- Method in interface com.hqme.cm.
IVSD
Retrieve the status for a previously submitted VSD command.
getDescription()
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getDescription()
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getDescription()
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getDeviceDescriptionXml()
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IRequestManager
Get Device description XML as a string.
getEvent()
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ReqEvents
getFunctionGroupId()
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IStorageManager
Retrieve function groups for a registered VSD
getKey()
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Property
getObject(String)
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IVSD
Retrieve a ContentObject instance which provides additional information and access to the underlying object.
getPriority(long)
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IRequestManager
Retrieve the priority of a previously submitted QueueRequest currently in the request queue.
getProgress()
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IQueueRequest
getProgress(long)
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IRequestManager
Retrieve the process (as a percentage) for a QueueRequest in the request queue.
getProgressPercent()
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getProgressStatus()
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getProperty(String)
- Method in interface com.hqme.cm.
IContentObject
Retrieve specific metadata information, key/value pair, associated with a content object.
getProperty(String)
- Method in interface com.hqme.cm.
IQueueRequest
getProperty(String)
- Method in interface com.hqme.cm.
IVSD
Retrieve a specific property associated with a VSD, as visible and relevant to the calling origin.
getPropertyKeys()
- Method in interface com.hqme.cm.
IContentObject
Retrieve the current content object property keys.
getPropertyKeys()
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IVSD
Retrieve the current VSD property keys.
getRequest(long)
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Retrieve a QueueRequest object from the request queue
getRequestId()
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IQueueRequest
getRequestId()
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ReqEvents
getRequestIds()
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IRequestManager
Retrieve an array of RequestIds associated with the currently queued QueueRequests
getRequestIdsState(int)
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IRequestManager
Retrieve an array of RequestIds associated with the currently queued QueueRequests
getState()
- Method in interface com.hqme.cm.
IQueueRequest
getState(long)
- Method in interface com.hqme.cm.
IRequestManager
Retrieve the state of a previously submitted QueueRequest.
getStorage(int)
- Method in interface com.hqme.cm.
IStorageManager
Retrieve an instance of a client's VSD with the matching storageId
getStorageIds(long[])
- Method in interface com.hqme.cm.
IStorageManager
Provide a list of VSD storageIds that are ready and available on the client.
getStreamingUri()
- Method in interface com.hqme.cm.
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Retrieve the ContentObject streaming URI by the Streaming Server
getValue()
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About
TAMS Computer Science Organization is a club dedicated to improving ability in computer science. We focus on everything related to computer science, including algorithms, web design, game programming, and more.
Join us on Facebook for updates!
General Assemblies
Our club meets weekly on Tuesdays in the conference room. Tuesday's at 9pm is the GA and at 10pm it changes into algorithms lecture.
Club Execs 2014-2015
- Laura Pang - President
- Brandon Truong - Vice President
- Andrew Tian - Club Coordinator
- John Pascoe - Coach
- Farhan Tejani - Secretary
Club Execs 2013-2014
- Ian Macalinao (@simplyianm) - President
- Tyler O'Meara (@Acidity) - Vice President
- Sherwin Thomas - Club Coordinator
- Krzysztof Drewniak (@krzysz00) - Coach


fasta-fetch <FASTA file> [-f <file> | <id>+] [options]
Fetch sequences from a FASTA sequence file. Requires an index file made by fasta-make-index.
Reads sequence identifiers from the command line, from a file and from standard input, in that order.
Sequences in FASTA format from the <FASTA file>
.
An index generated from the sequences with fasta-make-index which is named the same as the FASTA file but with ".index" appended.
Sequence identifiers, either listed on the command line, from a file specified with -f option or provided on standard input.
Writes a FASTA format file to standard output.
| Option | Parameter | Description | Default Behavior |
|---|---|---|---|
| General Options | |||
| -f | file | Specifiy a file containing a list of sequence identifiers. | The sequence identifiers must be specified on the command line or on standard input. |
| -c | Check that the index actually references the expected sequence. This is intended to help catch cases when the sequence file has changed but the index has not been updated. | The index file is assumed to be correct for the sequence file. | |
| -s | suffix | Put each sequence in its own file named with the sequence identifier with ".suffix" appended. Any pipe characters in the identifier will be substituted with underscores. | The sequences are written to standard output. |
| -off | position | Print sequences starting at position. | The sequences are printed from their start which is equivalent to giving -off a value of 1. |
| -len | length | Print up to length characters of the sequence. | The entire sequence is printed. |


--- layout: default title: EHST'17 - Sponsors meta: All of the sponsors of EHST'17 is listed here along with sponsorship opportunities for the conference. keyword: solar thermal energy, solar cell theory and applications, biomass, biofuel, bioenergy, smart buildings, smart lightings, wind energy, geothermal energy, wave energies, tide energies, nuclear energies, prospects, issues, battery energy storage, energy storage, hydroenergy, energy financing, energy companies challenges, energy distribution, energy conversion, electric vehicles, fossil fuels, energy change, climate change, energy pollution, environmental pollution, energy, nanotechnology, low carbon technologies, energy infrastructures, marketing, economy, societal aspects, global energy policy, energy and transportation, sustainable energy, energy efficiency-achievements and challenges, energy management, fuel cells ---
Current Sponsors:
There are currently three types of sponsorships available for EHST'17. The opportunities are as followed (prices are in CAD):
Platinum Sponsorship, $4,000:
Gold Sponsorship, $3,000:
Silver Sponsorship, $2,000:
If you are interested in sponsoring this event, please write an email to:


Automates communication level interactions across applications.
Includes multiplexer socket that allows multiple virtual sockets be used with one real socket.


Be kind to humanity and the environment, one seat at a time.
Pre-order your stylish, sustainably-built chair today!
More than a conversation piece, it's a humanitarian piece.
Sit Conmigo's mission is to create chairs that are trendy, stylish, and best of all, comfy! Every Sit Conmigo chair is made with only sustainable, fair-trade materials.
We're also committed to promoting fair labor practices that ensure our employees have safe working conditions and are paid fairly for their skills.
The result is a chair that you'll not only love in your home or office, but a chair that was lovingly made by the person that built it.


MShani Earl Davis is an Olympic Champion speed skater from the United States. Davis has set a total of nine world records,
two of them current (as of December 2017): 1:06.42 over 1000 meters and 145.742 in allround samalog points. He also sits atop the world Adelskalender list
after taking the lead from Sven Kramer in March 2009. The Adelskalender ranks the all-time fastest long track speed skaters by personal best times in the four
World Allround Championship distances. Davis is known for his consistency and technical proficiency. Davis is native to Chicago, Illinois, and trains at two
U.S. Olympic training facilities, the Pettit National Ice Center in West Allis, Wisconsin, and the Utah Olympic Oval in Salt Lake City, Utah.
In 2014, UA and Davis agreed to an 8 year contract extension.


Hello I am Abhishek Maurya and today I am doing Exercise 5 which is Introduction to HTML/CSS. This question is so time taking but I still managed to do by using a tool which shows me live preview of what I am doing.


{% extends "layout_update_licence.html" %} {% block page_title %} Confirmation page example {% endblock %} {% block content %} {{formData | safe}} Licence updated Your reference number is HDJ2123F Contact details Name: Tom Riddle Email<EMAIL_ADDRESS>Change Licence details Licence number: 345 612 895 Change Licence length: 12 months Change Fish you can catch: Coarse fish, eels Change Date of issue 22 April 2015 Change {% endblock %}
Your reference number is HDJ2123F


We are an innovative development shop that can help your political group or campaign dive into the vast ocean of the Internet. We'll make sure that you'll be found with first class SEO (search engine optimization). We'll make sure you'll be noticed and your users have a great experience with a great design focused on UX/UI (User Experience/User Interface) and your goals in mind. We'll also make sure you're able to connect with your audience like never before with outstanding social media integration, development, and consulting.


Methods for regression with high-dimensional predictors and univariate or maltivariate response variables. It considers the decomposition of the coefficient matrix that leads to the best approximation to the signal part in the response given any rank, and estimates the decomposition by solving a penalized generalized eigenvalue problem followed by a least squares procedure. Ruiyan Luo and Xin Qi (2017) <doi:10.1016/j.jmva.2016.09.005>.
| Version: | 0.1.0 |
| Suggests: | MASS |
| Published: | 2017-09-19 |
| Author: | Ruiyan, Xin Qi |
| Maintainer: | Ruiyan Luo <rluo at gsu.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | SiER results |
| Reference manual: | SiER.pdf |
| Package source: | SiER_0.1.0.tar.gz |
| Windows binaries: | r-devel: SiER_0.1.0.zip, r-release: SiER_0.1.0.zip, r-oldrel: SiER_0.1.0.zip |
| OS X binaries: | r-release: SiER_0.1.0.tgz, r-oldrel: SiER_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SiER to link to this page.


#include <bit_stream_reader.hpp>
|
| | BitStream (std::streambuf *stream_buffer, byte_type starting_position) noexcept |
| |
| template<detail::BitStreamInteger DataType> |
| DataType | bit_mask (const DataType bits) |
| |
|
std::streambuf * | m_stream_buffer |
| |
|
buffer_type | m_buffer {0} |
| |
|
byte_type | m_position {0} |
| |
Implementation of the BitStream interface for reading from a binary stream.
The stream is read in a lazy manner; bytes are not read from the stream until they are needed. The number of bytes read from the stream at once is defined by the size of buffer_type. That buffer is stored in-memory until it has been entirely consumed by the caller, at which point it is refilled.
- Author
- Timothy Flynn (trfly.nosp@m.nn89.nosp@m<EMAIL_ADDRESS>- Version
- July 7, 2019
◆ BitStreamReader()
| fly::BitStreamReader::BitStreamReader |
( |
std::istream & |
stream | ) |
|
|
explicitnoexcept |
Constructor. Decode the header byte from the stream. If the header byte is invalid, the stream's fail bit is set.
- Parameters
-
| stream | The stream to read binary data from. |
◆ discard_bits()
| void fly::BitStreamReader::discard_bits |
( |
byte_type |
size | ) |
|
|
inline |
Discard a number of bits from the byte buffer. Should only be used after a successful call to peek_bits.
- Parameters
-
| size | The number of bits to discard. |
◆ fully_consumed()
| bool fly::BitStreamReader::fully_consumed |
( |
| ) |
const |
Check if the stream has reached end-of-file and the byte buffer has been fully consumed.
- Returns
- True if the stream has been fully consumed.
◆ header()
| byte_type fly::BitStreamReader::header |
( |
| ) |
const |
- Returns
- The header byte decoded from the stream.
◆ peek_bits()
template<detail::BitStreamInteger DataType>
| byte_type fly::BitStreamReader::peek_bits |
( |
DataType & |
bits, |
|
|
byte_type |
size |
|
) |
| |
Read a number of bits from the byte buffer without discarding those bits. There is no guarantee that the requested number of bits will actually be peeked, as there may be less than that number available between the byte buffer and stream. If any bits were peeked, the least-significant bits in the provided data type will be filled, starting from the position pointed to by the requested number of bits.
Fill the buffer from the stream if the number of bits to peek exceeds the number of bits available.
- Parameters
-
| bits | The location to store the peeked bits. |
| size | The number of bits to peek. |
- Returns
- The number of bits successfully peeked.
◆ read_bits()
template<detail::BitStreamInteger DataType>
| byte_type fly::BitStreamReader::read_bits |
( |
DataType & |
bits, |
|
|
byte_type |
size |
|
) |
| |
Read a number of bits from the byte buffer. There is no guarantee that the requested number of bits will actually be read, as there may be less than that number available between the byte buffer and stream. If any bits were read, the least-significant bits in the provided data type will be filled, starting from the position pointed to by the requested number of bits.
Fill the buffer from the stream if the number of bits to read exceeds the number of bits available.
- Template Parameters
-
| DataType | The data type of the location to store the read bits. |
- Parameters
-
| bits | The location to store the read bits. |
| size | The number of bits to read. |
- Returns
- The number of bits successfully read.
◆ read_byte()
| bool fly::BitStreamReader::read_byte |
( |
byte_type & |
byte | ) |
|
Read a full byte from the byte buffer.
Fill the buffer from the stream if the number of bits to read exceeds the number of bits available.
- Parameters
-
| byte | The location to store the read byte. |
- Returns
- True if the byte was successfully read and filling the byte buffer was successful (if needed).
◆ read_word()
| bool fly::BitStreamReader::read_word |
( |
word_type & |
word | ) |
|
Read a multibyte word from the byte buffer.
Fill the buffer from the stream if the number of bits to read exceeds the number of bits available.
- Parameters
-
| word | The location to store the read word. |
- Returns
- True if the word was successfully read and filling the byte buffer was successful (if needed).
The documentation for this class was generated from the following files:


Money Play. How should Red play 11?
pips Red=157 White=196
(CorrectAnswer= 0/0, ErrorScore= 0)
This was my biggest error in all the training games that I have played during lockdown.
I chose Bar/24, bar/22. That was a triple blunder. The problem with that move is that despite having six back checkers White can still win by going forwards.
The only move that is not a blunder is bar/24(2), 2/1(2)*. This play allows Red to (hopefully) move forwards again by taking a tempo away from White. Any other play risks it being Red who ends up playing the back game.
I chose Bar/24, bar/22. That was a triple blunder. The problem with that move is that despite having six back checkers White can still win by going forwards.
The only move that is not a blunder is bar/24(2), 2/1(2)*. This play allows Red to (hopefully) move forwards again by taking a tempo away from White. Any other play risks it being Red who ends up playing the back game.
1. Cubeful 2-ply bar/23 bar/24 9/8 Eq.: +0.263 0.542 0.248 0.017 - 0.458 0.118 0.007 2. Cubeful 2-ply bar/24(2) 2/1*(2) Eq.: +0.253 (-0.010) 0.532 0.264 0.015 - 0.468 0.124 0.008 3. Cubeful 2-ply bar/24(2) 9/8 2/1* Eq.: +0.173 (-0.090) 0.531 0.241 0.013 - 0.469 0.151 0.015 4. Cubeful 2-ply bar/24(2) 9/7 Eq.: +0.159 (-0.104) 0.516 0.239 0.018 - 0.484 0.130 0.008 5. Cubeful 2-ply bar/23(2) Eq.: +0.090 (-0.173) 0.505 0.228 0.016 - 0.495 0.152 0.010


Type support
Predefined types
Standard library
These types are supported by this library:
- Basic types:
bool
,char
,int
,unsigned int
,long long
,unsigned long long
,std::string
- Array types:
std::vector<>
,std::deque<>
,std::array<>
,std::tuple<>
(this one needs special care) - Nullable types:
std::nullptr_t
,std::unique_ptr<>
,std::shared_ptr<>
- Map types:
std::map<>
,std::unordered_map<>
,std::multimap<>
,std::unordered_multimap<>
(The key must be of string type) - Object types: any class generated by the script autojsoncxx.py.
- DOM:
rapidjson::Document
Notes:
char
is mapped to JSONBoolean
type, the same asbool
.
Boost
If you include <autojsoncxx/boost_types.hpp>
(a relatively new boost
is required), you will also get support for
- Array types:
boost::container::vector<>
,boost::container::deque<>
,boost::array
- Nullable types:
boost::shared_ptr<>
,boost::optional<>
- Map types:
boost::unordered_map<>
,boost::unordered_multimap<>
(The key must be of string type)
Caveat
No raw pointer and reference types are supported. Use smart pointers instead. They do not convey any information about ownership, and will make correct memory management (especially by a code generator) much more difficult.
Nested types
The supported types can be arbitrarily nested, for example
#define AUTOJSONCXX_MODERN_COMPILER 1
#include <iostream>
#include "person.hpp"
int main()
{
auto test = std::make_tuple(std::vector<std::string>{ "A", "BC", "DEF" }, nullptr,
3.1415926, -223, std::shared_ptr<int>(),
std::map<std::string, bool>{ { "a", true },
{ "Δ", false } },
std::make_shared<std::array<Person, 2>>());
std::string str;
// This requires true variadic template support
// MSVC 2012 has std::tuple<>, but it is faked with macros
// Avoid std::tuple<> if your compiler is not strong enough
autojsoncxx::to_pretty_json_string(str, test);
std::cout << str << '\n';
return 0;
}
Sample output
[
[
"A",
"BC",
"DEF"
],
null,
3.1415926,
-223,
null,
{
"a": true,
"Δ": false
},
[
{
"ID": 0,
"name": "anonymous",
"height": 0.0,
"weight": 0.0,
"known_associates": []
},
{
"ID": 0,
"name": "anonymous",
"height": 0.0,
"weight": 0.0,
"known_associates": []
}
]
]
Self defined type
The core of the library is two template class, SAXEventHandler
and Serializer
. The base templates are defined as:
namespace autojsoncxx {
// The core handlers for parsing
template <class T>
class SAXEventHandler;
// Only the second parameter should be specialized
template <class Writer, class T>
struct Serializer;
}
Each of the full or partial specialization of these templates will add new type support to the library.
Writing the handler is somewhat difficult, because there are a multitude of errors that can result from a mismatched JSON. So there is some base classes provided, based on Curiously Recurring Template Pattern. For primitive types, such as a simple variant of int
and bool
, or string types (QString
, CString
, icu::UnicodeString
, YetAnotherStringThatIsSoMuchBetterThanTheRest
), derive from BaseSAXEventHandler
. There are also base classes for array type VectorBaseSAXEventHandler
, nullable type NullableBaseSAXEventHandler
, map type MapBaseSAXEventHandler
. If you implement your own string, you probably want to add map type support as well, because the default implementation is specialized on std::string
.
Writing the serializer is very easy, and one can easily figure it out by looking at the source code.
Special types
Tuple
There are only one tuple type supported std::tuple
(boost::tuple
is not supported). Implementing it requires true variadic templates. If you want to use it, you need to define both AUTOJSONCXX_HAS_MODERN_TYPES
and AUTOJSONCXX_HAS_VARIADIC_TEMPLATE
to be nonzero. The macro AUTOJSONCXX_MODERN_COMPILER
automatically turns on both two.
The tuple type is mapped to a JSON array of heterogenous types. So std::tuple<int, std::string, double>
maps to a JSON array of three element of type Number
, String
, and Number
respectively.
During parsing, only the prefix is matched. That is, if the JSON array is longer than the tuple size, the extraneous part will be silently dropped; if the JSON array is shorter than the tuple size, the not-mapped element simply remains untouched. This design is based on the assumption that when you need a heterogeneous array, you probably prioritize flexibility over strict conformance.
DOM
rapidjson::Document
is the only DOM type supported. The envisioned use is to freely intermix static and dynamic typing. That is, part of a C++ struct is converted according to strict rules, while other part are flexibly handled.
In addition, you can convert any supported type to/from a DOM object directly. The relevant functions are surprisingly named autojsoncxx::to_document
and autojsoncxx::from_document
.


This is just a fun page to showcase bulit-in color themes. Page theme is changed automatically each 5 seconds. When you switch to another page, your previous theme is restored. To change the theme manually for any page, select the corresponding item from the Themes drop-down list in the top-side menu.
Each color theme can be customized according to your or your client's taste.


Before Change
QUALITY_02 = "02"
QUALITY_10 = "10"
QUALITY_11 = "11"
QUALITY_12 = "12"
QUALITY_2 = "2"
QUALITY_CHOICES = (
(QUALITY_00, "Cannot grade, bad photo"),
(QUALITY_01, "Cannot grade, cataract"),
(QUALITY_02, "Cannot grade, poor mydriasis"),
(QUALITY_10, "Fair, bad photo"),
(QUALITY_11, "Fair, cataract"),
(QUALITY_12, "Fair, poor mydriasis"),
(QUALITY_2, "Good"),
)
quality = models.CharField(
max_length=2,
choices=QUALITY_CHOICES,
After Change
choices=QUALITY_CHOICES,
help_text="How do you rate the quality of the image?",
)
quality_reason = models.CharField(
max_length=2,
choices=QUALITY_REASON_CHOICES,
null=True,
blank=True,
help_text="If the quality is not good, why not?",
)
class ImagePathologyAnnotation(AbstractImageAnnotationModel):


Get Involved
ManageIQ is open source and open for contributions. There are many ways to get involved, and everyone is invited to connect, discuss, develop and collaborate in the ManageIQ community!
Connect
Find us in your favorite social channel so you can be in the loop with announcements and happenings.
- Follow @manageiq @manageiq on Twitter
- ManageIQ on Facebook
- ManageIQ on LinkedIn
- Sprint Review slides
- Event & Sprint Review videos
Collaborate
Access the source code and developer guides to get going. Refer to the above engagement channels if you need some assistance!
- Main ManageIQ GitHub repo Star Fork
- Members in ManageIQ community on GitHub
- All repos under ManageIQ Follow @manageiq
- Developer Guides
- ManageIQ Roadmap
In addition, you don't have to be a developer to be able to contribute. Filing issues/bugs is a great way to help. The ManageIQ project also welcomes translations!
Discuss
Join the active ManageIQ community on ManageIQ Talk forum with your questions and discussions, or chat with us anytime on Gitter (sign in with your GitHub account).
Check out the ManageIQ blog and comment on the latest community news.
Community Events
Browse the Events Calendar and learn where you can meet up with other members of the community.
Sprint Reviews
There is a ManageIQ Sprint review every 2 weeks open to the community. To join the online video conference, please use this Bluejeans link.
You can import the ManageIQ community calendar to be notified about ManageIQ events and Sprint reviews.
Check out Sprints for links to previous Sprint Reviews.


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Eugene Khilov
About
Portfolio
Contact
Portfolio
Linux rules!
Tablet friendly, tablet ready!
4K for UK
Fine-tune it!
HiFi experience
Be there on time


Oct.5   User stories, creation of actual mockup, and more functional prototyping dicussions ensued:
How to process text? Abhy and everyone talking about DATA DEFINITIONS: Receipt suggestions
based on the selected items by the user at this stage.
Abhy wrote a PATH for all the stories on white board.
Gangzhoariga: Discrepency of apples expiration dates (we keep two rows of apples each pertaining to a different receipt.)
-- make a request for adding an item
-- where to upload the receipt on the fridge page and both user profile page
Josh wrting the storyline in detail
Nyla story is chosen as one storyline and we all agree on the contetnt steps of it
Gangzhoarie is trying to deploy the site
--Nyla: Her mom adds her as a friend to her fridge ()
--Nyla checks her mom's fridge to see if she has strawberry this weekend and her mom does
not have it, so she steals her dad's strawberry and take it to her mom's house for the weekend
--Nina is pissed with her rroommates. SHe bouys a small fridge and make a new fridge and
scans the receipt and updates her fridge content.


Vinati Organics share price dips 6%; board approves stock split
The company's September quarter revenue was down 15 percent at Rs 245.06 crore versus Rs 290.74 crore, YoY.
Share prices of Vinati Organics declined 6 percent in the morning trade on November 13 after the company announced its September quarter results and sub-division of share price.
The company on November 12 reported a 33 percent jump in its September quarter net profit at Rs 110 crore against Rs 82.35 crore in the year-ago period.
The company’s revenue was down 15 percent at Rs 245.06 crore versus Rs 290.74 crore, YoY.
The board has approved sub-division of equity shares from 1 equity share of face value of Rs 2 each to 2 equity shares of face value of Re 1 each on a date to be determined by the board subsequent to the approval of the shareholders.
At 1100 hours, Vinati Organics was quoting at Rs 1,955.00, down Rs 120.45, or 5.80 percent, on the BSE.Get access to India's fastest growing financial subscriptions service Moneycontrol Pro for as little as Rs 599 for first year. Use the code "GETPRO". Moneycontrol Pro offers you all the information you need for wealth creation including actionable investment ideas, independent research and insights & analysis For more information, check out the Moneycontrol website or mobile app.


Using FileUploadFileUpload can be used in a number of different ways, depending upon the requirements of your application. In the simplest case, you will call a single method to parse the servlet request, and then process the list of items as they apply to your application. At the other end of the scale, you might decide to customize FileUpload to take full control of the way in which individual items are stored; for example, you might decide to stream the content into a database. Here, we will describe the basic principles of FileUpload, and illustrate some of the simpler - and most common - usage patterns. Customization of FileUpload is described elsewhere. How it works
A file upload request comprises an ordered list of items that
are encoded according to
RFC 1867,
"Form-based File Upload in HTML". FileUpload can parse such a request
and provide your application with a list of the individual uploaded
items. Each such item implements the
Each file item has a number of properties that might be of interest for
your application. For example, every item has a name and a content type,
and can provide an
FileUpload creates new file items using a Servlets and PortletsStarting with version 1.1, FileUpload supports file upload requests in both servlet and portlet environments. The usage is almost identical in the two environments, so the remainder of this document refers only to the servlet environment. If you are building a portlet application, the following are the two distinctions you should make as you read this document:
Parsing the requestBefore you can work with the uploaded items, of course, you need to parse the request itself. Ensuring that the request is actually a file upload request is straightforward, but FileUpload makes it simplicity itself, by providing a static method to do just that. // Check that we have a file upload request boolean isMultipart = FileUpload.isMultipartContent(request); Now we are ready to parse the request into its constituent items. The simplest caseThe simplest usage scenario is the following:
Handling a request in this scenario couldn't be much simpler: // Create a factory for disk-based file items FileItemFactory factory = new DiskFileItemFactory(); // Create a new file upload handler ServletFileUpload upload = new ServletFileUpload(factory); // Parse the request List /* FileItem */ items = upload.parseRequest(request); That's all that's needed. Really!
The result of the parse is a Exercising more controlIf your usage scenario is close to the simplest case, described above, but you need a little more control, you can easily customize the behavior of the upload handler or the file item factory or both. The following example shows several configuration options: // Create a factory for disk-based file items DiskFileItemFactory factory = new DiskFileItemFactory(); // Set factory constraints factory.setSizeThreshold(yourMaxMemorySize); factory.setRepositoryPath(yourTempDirectory); // Create a new file upload handler ServletFileUpload upload = new ServletFileUpload(factory); // Set overall request size constraint upload.setSizeMax(yourMaxRequestSize); // Parse the request List /* FileItem */ items = upload.parseRequest(request); Of course, each of the configuration methods is independent of the others, but if you want to configure the factory all at once, you can do that with an alternative constructor, like this: // Create a factory for disk-based file items DiskFileItemFactory factory = new DiskFileItemFactory( yourMaxMemorySize, yourTempDirectory); Should you need further control over the parsing of the request, such as storing the items elsewhere - for example, in a database - you will need to look into customizing FileUpload. Processing the uploaded items
Once the parse has completed, you will have a // Process the uploaded items Iterator iter = items.iterator(); while (iter.hasNext()) { FileItem item = (FileItem) iter.next(); if (item.isFormField()) { processFormField(item); } else { processUploadedFile(item); } }
For a regular form field, you will most likely be interested only in the
name of the item, and its // Process a regular form field if (item.isFormField()) { String name = item.getFieldName(); String value = item.getString(); ... } For a file upload, there are several different things you might want to know before you process the content. Here is an example of some of the methods you might be interested in. // Process a file upload if (!item.isFormField()) { String fieldName = item.getFieldName(); String fileName = item.getName(); String contentType = item.getContentType(); boolean isInMemory = item.isInMemory(); long sizeInBytes = item.getSize(); ... } With uploaded files, you generally will not want to access them via memory, unless they are small, or unless you have no other alternative. Rather, you will want to process the content as a stream, or write the entire file to its ultimate location. FileUpload provides simple means of accomplishing both of these. // Process a file upload if (writeToFile) { File uploadedFile = new File(...); item.write(uploadedFile); } else { InputStream uploadedStream = item.getInputStream(); ... uploadedStream.close(); }
Note that, in the default implementation of FileUpload,
If you do need to access the uploaded data in memory, you need simply
call the // Process a file upload in memory byte[] data = item.get(); ... Interaction with virus scannersVirus scanners running on the same system as the web container can cause some unexpected behaviours for applications using FileUpload. This section describes some of the behaviours that you might encounter, and provides some ideas for how to handle them. The default implementation of FileUpload will cause uploaded items above a certain size threshold to be written to disk. As soon as such a file is closed, any virus scanner on the system will wake up and inspect it, and potentially quarantine the file - that is, move it to a special location where it will not cause problems. This, of course, will be a surprise to the application developer, since the uploaded file item will no longer be available for processing. On the other hand, uploaded items below that same threshold will be held in memory, and therefore will not be seen by virus scanners. This allows for the possibility of a virus being retained in some form (although if it is ever written to disk, the virus scanner would locate and inspect it). One commonly used solution is to set aside one directory on the system into which all uploaded files will be placed, and to configure the virus scanner to ignore that directory. This ensures that files will not be ripped out from under the application, but then leaves responsibility for virus scanning up to the application developer. Scanning the uploaded files for viruses can then be performed by an external process, which might move clean or cleaned files to an "approved" location, or by integrating a virus scanner within the application itself. The details of configuring an external process or integrating virus scanning into an application are outside the scope of this document. What's nextHopefully this page has provided you with a good idea of how to use FileUpload in your own applications. For more detail on the methods introduced here, as well as other available methods, you should refer to the JavaDocs. The usage described here should satisfy a large majority of file upload needs. However, should you have more complex requirements, FileUpload should still be able to help you, with it's flexible customization capabilities. |


Phenomenon And Essence
表面
-
appearance: 外貌；外观；外表the way that sb/sth looks on the outside; what sb/sth seems to be
-
embodiment: （体现一种思想或品质的）典型，化身 a person or thing that represents or is a typical example of an idea or a quality
-
expression: 表现 a group of signs and numbers that show a particular quantity or idea
-
form: 形式；外表；样子 the particular way sth is, seems, looks or is presented
-
reflection: 反映；显示；表达 a sign that shows the state or nature of sth
-
representation: 表现；描述；描绘；表现形式 the act of presenting sb/sth in a particular way; something that shows or describes sth
本质
-
essence: 本质；实质；精髓 the most important quality or feature of sth, that makes it what it is
-
substance: 实质；本质 the unchanging essence of something
句子
-
We should see through the appearance to the essence.
我们要透过现象看本质。


Preparation time
less than 30 mins
Cooking time
1 to 2 hours
Serves
Serves 4
Heat a large pan until hot then add the olive oil and beef mince. Fry until browned, then remove from the pan and set aside.
Add the onions, garlic, celery and chillies and sweat for 5-6 minutes until golden.
Add all the spices and fry for one minute.
Return the beef to the pan and stir to combine.
Add the tomato purée, tinned tomatoes and stock and bring to the boil.
Reduce the heat and simmer for 1-1½ hours until very tender.
Add the chocolate and kidney beans and simmer for a further five minutes until hot through.
Check the seasoning before adding the coriander leaves and serving.


11.149. Release 0.76
Kafka Connector
This release adds a connector that allows querying of Apache Kafka topic data from Presto. Topics can be live and repeated queries will pick up new data.
Apache Kafka 0.8+ is supported although Apache Kafka 0.8.1+ is recommended. There is extensive documentation about configuring the connector and a tutorial to get started.
MySQL and PostgreSQL Connectors
This release adds the MySQL Connector and PostgreSQL Connector for querying and creating tables in external relational databases. These can be used to join or copy data between different systems like MySQL and Hive, or between two different MySQL or PostgreSQL instances, or any combination.
Cassandra Changes
The Cassandra Connector configuration properties
cassandra.client.read-timeout
and cassandra.client.connect-timeout
are now specified using a duration rather than milliseconds (this makes
them consistent with all other such properties in Presto). If you were
previously specifying a value such as 25
, change it to 25ms
.
The retry policy for the Cassandra client is now configurable via the
cassandra.retry-policy
property. In particular, the custom BACKOFF
retry policy may be useful.
Hive Changes
The new Hive Connector configuration property hive.s3.socket-timeout
allows changing the socket timeout for queries that read or write to Amazon S3.
Additionally, the previously added hive.s3.max-connections
property
was not respected and always used the default of 500
.
Hive allows the partitions in a table to have a different schema than the
table. In particular, it allows changing the type of a column without
changing the column type of existing partitions. The Hive connector does
not support this and could previously return garbage data for partitions
stored using the RCFile Text format if the column type was converted from
a non-numeric type such as STRING
to a numeric type such as BIGINT
and the actual data in existing partitions was not numeric. The Hive
connector now detects this scenario and fails the query after the
partition metadata has been read.
The property hive.storage-format
is broken and has been disabled. It
sets the storage format on the metadata but always writes the table using
RCBINARY
. This will be implemented in a future release.
General Changes
- Fix hang in verifier when an exception occurs.
- Fix
chr()
function to work with Unicode code points instead of ASCII code points. - The JDBC driver no longer hangs the JVM on shutdown (all threads are daemon threads).
- Fix incorrect parsing of function arguments.
- The bytecode compiler now caches generated code for join and group byqueries, which should improve performance and CPU efficiency for these types of queries.
- Improve planning performance for certain trivial queries over tables with lots of partitions.
- Avoid creating large output pages. This should mitigate some cases of “Remote page is too large” errors.
- The coordinator/worker communication layer is now fully asynchronous. Specifically, long-poll requests no longer tie up a thread on the worker. This makes heavily loaded clusters more efficient.


<IP_ADDRESS> (December 26, 2018) - Refactoring the structure of the project source code <IP_ADDRESS> (May 23, 2018) - The status of the service is displayed in the status file - Fixed a bug in reading from the serial port with a stop condition


My name is Anthoula and this is one of my first classes at IIT. I was born and raised in Chicago and currently live on the south side. I just started working at IIT last year and am enjoying it so far. I am including a picture of one of my dogs, as she is my favorite!


{{ define "main" }}
A wine club in Singapore of artisanal wines from boutique producers across Australia. Members can read about wines and subscribe to a wine box via this site. We designed, developed the website in 2017 and continue to offer support & hosting.


Ruleset Coupling Rules
Language -
Description
These are rules which find instances of high or inappropriate coupling between objects and packages.
Rule CouplingBetweenObjects::
TOC
Description
This rule counts unique attributes, local variables and return types within an object. A number
higher than specified threshold can indicate a high degree of coupling.
- Message
- High amount of different objects as members denotes a high coupling
- Class
- net.sourceforge.pmd.rules.CouplingBetweenObjects
- Reference
- -
- ExternalInfoUrl
- http://pmd.sourceforge.net/rules/coupling.html#CouplingBetweenObjects
- TypeResolution
- -
- Priority
- 3
Example
Example code snippet of this rule.
import com.Blah;
import org.Bar;
import org.Bardo;
public class Foo {
private Blah var1;
private Bar var2;
//followed by many imports of unique objects
void ObjectC doWork() {
Bardo var55;
ObjectA var44;
ObjectZ var93;
return something;
}
}
Properties
Following properties are defined:
- Name
- threshold
- Description
- The unique type reporting threshold
- Value
-
20
TOC
Rule ExcessiveImports::
TOC
Description
A high number of imports can indicate a high degree of coupling within
an object. Rule counts the number of unique imports and reports a violation
if the count is above the user defined threshold.
- Message
- A high number of imports can indicate a high degree of coupling within an object.
- Class
- net.sourceforge.pmd.rules.ExcessiveImports
- Reference
- -
- ExternalInfoUrl
- http://pmd.sourceforge.net/rules/coupling.html#ExcessiveImports
- TypeResolution
- -
- Priority
- 3
Example
Example code snippet of this rule.
import blah.blah.Baz;
import blah.blah.Bif;
// 18 others from the same package elided
public class Foo {
public void doWork() {}
}
Properties
Following properties are defined:
- Name
- minimum
- Description
- The import count reporting threshold
- Value
-
30
TOC
Rule LooseCoupling::
TOC
Description
Avoid using implementation types (i.e., HashSet); use the interface (i.e, Set) instead
- Message
- Avoid using implementation types like ''{0}''; use the interface instead
- Class
- net.sourceforge.pmd.rules.design.LooseCoupling
- Reference
- -
- ExternalInfoUrl
- http://pmd.sourceforge.net/rules/coupling.html#LooseCoupling
- TypeResolution
- -
- Priority
- 3
Example
Example code snippet of this rule.
import java.util.*;
public class Bar {
// Use List instead
private ArrayList list = new ArrayList();
// Use Set instead
public HashSet getFoo() {
return new HashSet();
}
}
TOC


The pear is any of several tree and shrub species of genus Pyrus in the family Rosaceae.
It is also the name of the pomaceous fruit of the various trees. Several species of pear are valued for their edible fruit and juices while others are cultivated as trees.
Price = {{ price | currency : "Rs."}}


This is a sample app to query a mysql database backend. Try names like 'jack', 'john','jim' or 'joe' Empty search field returns all records.


At Industrial Timber and Lumber, our team focus is to profitably exceed customers’ and employees’ expectations of integrity, safety, quality, value and service through problem solving, innovation and continuous improvement.
Mision
our reason for existing, which remains unchanged over time.
vision
Our vision is to be the best lumber company in the world.


pomdp_problems.rocksample.cythonize package¶
Submodules¶
pomdp_problems.rocksample.cythonize.rocksample_problem.cpython-37m-x86_64-linux-gnu module¶
pomdp_problems.rocksample.cythonize.rocksample_problem.cpython-38-x86_64-linux-gnu module¶
pomdp_problems.rocksample.cythonize.rocksample_problem module¶
RockSample(n,k) problem
Origin: Heuristic Search Value Iteration for POMDPs (UAI 2004)
Description:
State space:
Position {(1,1),(1,2),…(n,n)} \(\times\) RockType_1 \(\times\) RockType_2, …, \(\times\) RockType_k where RockType_i = {Good, Bad} \(\times\) TerminalState
- (basically, the positions of rocks are known to the robot,
but not represented explicitly in the state space. Check_i will smartly check the rock i at its location.)
Action space:
North, South, East, West, Sample, Check_1, …, Check_k The first four moves the agent deterministically Sample: samples the rock at agent’s current location Check_i: receives a noisy observation about RockType_i (noise determined by eta (\(\eta\)). eta=1 -> perfect sensor; eta=0 -> uniform)
Observation: observes the property of rock i when taking Check_i.
- Reward: +10 for Sample a good rock. -10 for Sampling a bad rock.
Move to exit area +10. Other actions have no cost or reward.
Initial belief: every rock has equal probability of being Good or Bad.
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
CheckAction
¶ Bases:
pomdp_problems.rocksample.cythonize.rocksample_problem.RSAction
-
rock_id
¶
-
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
MoveAction
¶ Bases:
pomdp_problems.rocksample.cythonize.rocksample_problem.RSAction
-
EAST
= (1, 0)¶
-
NORTH
= (0, 1)¶
-
SOUTH
= (0, -1)¶
-
WEST
= (-1, 0)¶
-
motion
¶
-
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
RSAction
¶
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
RSObservation
¶ Bases:
pomdp_py.framework.basics.Observation
-
quality
¶
-
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
RSObservationModel
¶ Bases:
pomdp_py.framework.basics.ObservationModel
-
argmax
()¶ Returns the most likely observation
-
probability
(self, observation, next_state, action)¶ Returns the probability of \(\Pr(o|s',a)\).
- Parameters
observation (Observation) – the observation \(o\)
next_state (State) – the next state \(s'\)
action (Action) – the action \(a\)
- Returns
the probability \(\Pr(o|s',a)\)
- Return type
float
-
sample
(self, next_state, action)¶ Returns observation randomly sampled according to the distribution of this observation model.
- Parameters
- Returns
the observation \(o\)
- Return type
-
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
RSPolicyModel
¶ Bases:
pomdp_py.algorithms.po_uct.RolloutPolicy
Simple policy model according to problem description.
-
argmax
()¶ Returns the most likely reward
-
get_all_actions
(self, *args)¶ Returns a set of all possible actions, if feasible.
-
probability
(self, action, state)¶ Returns the probability of \(\pi(a|s)\).
-
rollout
(self, State state, tuple history=None)¶
-
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
RSRewardModel
¶ Bases:
pomdp_py.framework.basics.RewardModel
-
argmax
(self, state, action, next_state)¶ Returns the most likely reward. This is optional.
-
probability
(self, reward, state, action, next_state)¶ Returns the probability of \(\Pr(r|s,a,s')\).
-
sample
(self, state, action, next_state)¶ Returns reward randomly sampled according to the distribution of this reward model. This is required, i.e. assumed to be implemented for a reward model.
-
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
RSState
¶ Bases:
pomdp_py.framework.basics.State
-
position
¶
-
rocktypes
¶
-
terminal
¶
-
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
RSTransitionModel
¶ Bases:
pomdp_py.framework.basics.TransitionModel
The model is deterministic
-
argmax
()¶ Returns the most likely next state
-
probability
(self, next_state, state, action)¶ Returns the probability of \(\Pr(s'|s,a)\).
-
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
RockSampleProblem
¶ Bases:
pomdp_py.framework.basics.POMDP
-
static
generate_instance
()¶ Returns init_state and rock locations for an instance of RockSample(n,k)
-
in_exit_area
()¶
-
print_state
()¶
-
static
random_free_location
()¶ returns a random (x,y) location in nxn grid that is free.
-
static
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
RockType
¶ Bases:
object
-
BAD
= 'bad'¶
-
GOOD
= 'good'¶
-
static
invert
()¶
-
static
random
()¶
-
-
class
pomdp_problems.rocksample.cythonize.rocksample_problem.
SampleAction
¶ Bases:
pomdp_problems.rocksample.cythonize.rocksample_problem.RSAction
-
pomdp_problems.rocksample.cythonize.rocksample_problem.
euclidean_dist
()¶
-
pomdp_problems.rocksample.cythonize.rocksample_problem.
init_particles_belief
()¶
-
pomdp_problems.rocksample.cythonize.rocksample_problem.
main
()¶
-
pomdp_problems.rocksample.cythonize.rocksample_problem.
test_planner
()¶


RC Car Logger
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11 plus the number of pins in 10 rows.
This keeps on going. Each round divides the problem into an integer and a problem that is smaller by one. Eventually you reach the end:
number of pins in 12 rows = 12 + number of pins in 11 rows number of pins in 11 rows = 11 + number of pins in 10 rows . . . number of pins in 3 rows = 3 + number of pins in 2 rows number of pins in 2 rows = 2 + number of pins in 1 row = 2 + 1
The number of pins in 1 row is called a base case. A base case is a problem that can solved immediately. In this example, the number of pins in 1 row is 1.


Was up Mainhardt? America was never innocent. We popped our cherry on the boat over and looked back with no regrets. You can’t ascribe our fall from grace to any single event or set of circumstances. You can’t lose what you lacked at conception.
Consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Hello from Nihad.sed do eiusmod
Consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Give me an A


Brewed according to the high quality standards of Coors Brewing Company, Golden, Colorado, U.S.A. Aged slowly for that legendary ice cold, easy drinking taste that could only come from a brewing tradition born in the Rockies.
Our heritage is legendary. Since 1873, Coors Banquet has been brewed exclusively in Golden, Colorado with 100% Rocky Mountain water and high country barley, so it has the full flavored taste with a smooth finish that it has always had.
Double-brewed for authentic taste in the Coors tradition, experience the North American-style lager Coors Edge. A refreshing golden lager with that classic Coors taste but without the alcohol, ensuring that you’ll always be in the moment.
Coors Non-Alcoholic. Introduced in 1997, this non-alcoholic premium brew promises the full flavored taste, smooth finish and authenticity Coors is famous for. Ingredients: Water, Barley Malt, Corn Syrup (Dextrose and Maltose), Yeast, Hops and Hop Extract.


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I am Kristine Singleton. My background consists of IT - Digital DevOps, Marketing, and Design. I have experience in the healthcare, non-profit, telecommunications, and utilities industries. Recently, I have participated in the Coding Bootcamp where I enhanced my skillset in various technologes such as React, Node, Javascript, CSS, MongoDB, and much more. In my spare time, I attend community events and continue to find ways to support the causes and people of Houston, TX. Learn more about my skills, expertise, and background and contact me for further information.
Simple, clean, and efficient web development and design.
Design marketing materials and campaign solutions.
Promote your event. Send press releases for event promotion on social media on the Houston Reports handles.
Simple, clean, and efficient web development and design.
Promote your event and business via social media channgels such as facebook, instagram, and twitter using Houston Reports handles.
Help me help you. With advance notice, Kristine will promote and attend your event and give reviews to increase your following and spread awareness about your service, business, or art in the Houston community.


Touch me!
Does a wave indeed propagate through the rope like in the lecture?
Can you make a standing wave by oscillating at the right frequency?
How can you tell it is a standing wave?
Try to pull the rope down like a guitar string, and then let it go.
Can you make a standing wave by oscillating at the right frequency?
How can you tell it is a standing wave?
Try to pull the rope down like a guitar string, and then let it go.


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My first website
Welcome to my website! Here are some things I enjoy
- Web Development
- Chess
- Learning
- Coding
Favorite Quotes:
Life is what happens when you're busy making other plans.
You only live once, but if you do it right, once is enough.
Welcome to my website! Here are some things I enjoy
Life is what happens when you're busy making other plans.
You only live once, but if you do it right, once is enough.


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{% extends "index.html" %}
{% block header %}
Contact Me
Have questions? I have answers.
Want to get in touch? That's a terrible idea. I have like... no social media presence. But if you're really inclined, email mental at neverlight dot com. Messages will be ignored in the order they are recieved.


It started off a fun night. The night after thanksgiving, the day of 'unlearning' for my friends and I. We traditionally dosed on psychedellics on this long weekend as a sort of release from the monotony of work and school that never seems to end.
Friday night, I took 2 1mg xanax pills just to ease myself off into the trip. About half an hour later, we dosed on the LSD, I took 3 hits. The night was fun and eventful. We talked for hours about the past, the future, our plans and our relationship with one another. But as the night drew on, and more LSD was consumed, I felt that I should bring my trip to a proper ending with the most powerful sedative I had, 1,4 butanediol. Normally, 2.5-3mls of this stuff will put you in a sleepy state. Being on LSD, I overcompensated, perhaps a little too much. I started off taking down 3mls in one gulp. After a little while, it began to work, but nothing too noticeable. So about half an hour later, I took another strong dose. An hour later, another, and then an hour and a half later, yet another. The last thing I remember was an extreme feeling of fatigue fall over me, and then sleep was upon me.
I awoke in pain. I was fighting to get up and doctors and nurses held me down to a bed. They were sticking a catheter in me, and I had an IV in my arm.  I passed out again. I woke up later, and puked all over myself, the doctors turned me on my stomach, and again, I passed out. Finally, I woke up 8 hours after I had initially dosed, and found out what had happened.
  If she hadn't called 911, I don't think I would be here writing this warning. GHB, GBL, 1,4 B, they're all very very dangerous. While they can be fun, they impair your judgement tremendously.  I used to think I knew everything about drugs, and I would never OD and I would never get sick.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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| Construct an
innovative and/or a creative product [Based on
ILO 1 - 10%
|
| Research problem (50%)
|
Research problem, aim
and objectives are mentioned
properly |
Research problem, aim
and objectives are mentioned
clearly |
Research problem, aim
and objectives are mentioned
sufficiently |
Research problem, aim
and objectives are mentioned poorly |
Research problem, aim
and objectives are
unacceptable |
|
| Novelty and creativity
(50%)
|
Distinguish the outcome
from many existing solutions. New features
justify with other features
|
Compares with other
existing systems. Existing and new features are
given. |
Compares with one or two
other systems. Existing features are given |
No comparison with
existing solutions. Existing features are given
|
No comparison with
existing solutions. New features are not
convincing |
|
| Synthesize
information [Based on ILO 2 - 25%]
|
| Synthesize information
(60%)
|
Excellent use of the
literature (more than 10 papers) |
Good use of the
literature (10 paper |
Good use of the
literature (5 papers) to identify the knowledge
|
Average use of the
literature to identify the knowledge gap |
Poor/No use of the
literature to identify the knowledge gap |
|
| evaluation of the
solution against other alternatives (40%)
|
identify the knowledge
gap. With excellent comparison |
identify the knowledge
gap with comparison in sufficient |
identify the knowledge
gap |
Identified but no
comparison |
No other solution
identifies and no comparison |
|
| Theoretical,
practical and analytical knowledge [Based on ILO
3 20%]
|
| General domain knowledge
(30%)
|
Shows thorough, in depth
understanding of the domain. Able to describe
the domain and the problem in succinct manner
|
Shows good understanding
of the domain. Able to describe the domain and
problem in the context.
|
Shows shallow
understanding of the domain. Unable to connect
problem to the domain |
Shows shallow
understanding of the domain. Unable to connect
problem to the domain |
Does not have proper
understanding about the domain. Unable to
connect problem to the domain |
|
| Specific domain
knowledge (30%)
|
Comprehensively
describes how specific techniques have been
developed and used to solve the problem. Can
describe alternatives |
Describes how specific
techniques have been modified and used to solve
the problem. Can mention alternatives |
Knows how specific
techniques have been used to solve the problem.
know availability of alternatives |
Knows how specific
techniques have been used to solve the problem.
unknow availability of alternatives |
Unable to show how
techniques have been developed to solve the
problem at hand. Unaware of other alternatives
|
|
| Propose New Technology
(40%)
|
Proposed latest and
appropriate technology to develop the solution.
Can justify the selected technologies. Describe
the deficiencies of alternative technologies
|
Proposed an appropriate
technology to develop the solution. Describe
pros and cons of the selected technologies.
Describe the alternative technologies |
Proposed a technology
which is suitable to develop the solution.
Describe advantageous of it over some other
technology. Aware of alternatives |
Proposed a technology
which is suitable to develop the solution.
Describe advantageous of it over some other
technology. Unaware of alternative technologies
|
Proposed a technology
which is comfortable. Unable to justify the
selected technology. Unaware of alternative
technologies |
|
| Design,
professional, ethical, security, and social
responsibility [Based on ILO 4 25%]
|
| High level view of the
Proposed design (30%)
|
Excellent demonstration
of the system design showing the major
components and their relationships with each
other Excellent demonstration of the
communication with external interfaces |
Adequate demonstration
of the system design showing the major
components and their relationships with each
other Good demonstration of the communication
with external interfaces
|
Average demonstration of
the system design showing the major components
and their relationships with each other Average
demonstration of the communication with external
interfaces |
Demonstration of the
system design showing the major components and
their relationships with each other Poor
demonstration of the communication with external
interfaces |
Poor demonstration of
the system design showing the major components
and their relationships with each other Poor
demonstration of the communication with external
interfaces |
|
| Research problem (50%)
|
Research problem, aim
and objectives are mentioned
properly |
Research problem, aim
and objectives are mentioned
clearly |
Research problem, aim
and objectives are mentioned
sufficiently |
Research problem, aim
and objectives are mentioned
sufficiently |
Research problem, aim
and objectives are
unacceptable |
|
| Use of appropriate
tools, technologies and design techniques in the
development with a proper justification (10%)
|
Excellent use of
appropriate technologies with proper
justification Excellent use of development
framework tools |
Adequate use of
appropriate technologies with proper
justification Adequate use of development
framework tools |
Average use of
ppropriate technologies with proper
justification Average use of development
framework tools Average |
Average use of
ppropriate technologies with proper
justification Poor use of development framework
tools Poor |
Poor use of appropriate
technologies with proper justification Poor use
of development framework tools |
|
| Methodological approach
and Originality (30%)
|
Innovative methodology
or application, Adds new insights to the topic
|
Thorough knowledge of
theory and methods, used to underpin arguments
and conclusions |
Methodology and/or life
cycle described Some evidence of use Nothing
new, but solid understanding of martial |
Thorough knowledge of
theory and methods, used to underpin arguments
and conclusions |
Little/no evidence of
choice or use of method or life cycle Entirely
based on flawed interpredation of existing
material
|
|
| Development of product
(10%)
|
Innovative engineering
work and/or method, justified and used in
re-port |
Development process well
designed conducted. Evaluation and
interpretation relevant, Accurate, relevant
results |
Thoroughly carried out
but limited scope with some data obtained |
development process is
poorly carried out with a substantially flawed
method, or little or no reliable data obtained
|
Need for re-search
apparent, but none carried out |
|
| Evidence of project
planning and management (10%)
|
Adds new in-sight into
project planning and management |
Shows a detailed plan
with time-scales, resources and a work schedule
for most tasks.
|
Shows a de-tailed plan
with timescales, resources and a work schedule
for most tasks. |
Sketchy generalized plan
with no evidence of monitoring of progress |
No planning evidence
|
|
| Effective-Time
Management (10%)
|
Effective-Time
Management related to project are clearly
identified, action plan is given clearly |
Effective-Time
Management related to project are adequately
identified |
Effective-Time
Management related to project are identified
|
Effective-Time
Management related to project are identified
|
Effective-Time
Management related to project are not identifie
|
|
| Effective
Communication [Based on ILO 5 - 10%]
|
| Idea of delivery (50%)
|
Excellent explanation of
the proposal content |
Sufficiently explained the proposal content |
Proposal content
explained but containing some irrelevant
information |
weakly explained the proposal conten |
proposal content not sufficient |
|
| Structure and mechanics
of language (30%)
|
Excellent structure and
formatting, meaningful chapters (as recommended)
with logical flow |
Acceptable structure and
formatting, Good language usage |
Poorly designed
structure and formatting |
Unacceptable structure.
Very poor writing and week presentation |
Unacceptable structure.
Very poor writing Conversation is poor |
|
| Referencing (IEEE) (20%)
|
Proper citing and
referencing |
Acceptable level of
citing and referencing |
Few citations with
incorrect referencing |
Very few citations and
incorrect |
No referencing |
|
| Self
-evaluation [Based on ILO6 10%]
|
| Research problem (50%)
|
Reflective journal +
Maintain research materials (100%) |
Details provides in
excellent Maintain research diary in excellent
with all relevant materials |
Sufficient information
provides, Maintain research diary with all
relevant materials |
Few or no reflective
journal, Maintain research
diary only |
No such information no
research diary |
|


For the past two years, I've worked as a software engineer at NetApp. Currently, I am a web developer working in PHP, Javascript/jQuery and CSS. Outside of work I focus on nodeJS/Express, Ember.js, Angular.js and Swift.
Software Engineering isn't the only thing filling up my time. I like to run and workout, listen to all kinds of music and travel to wherever my friends are. Occasionally, I'll make a few vines.


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Saifuddin: Malaysia to invite Putin to participate in 2020 Apec Summit
MOSCOW, Nov 21 — Malaysia will invite Russian President Vladimir Putin to participate in the 2020 Asia-Pacific Economic Cooperation (Apec) summit that the South-east Asian nation will host, Sputnik news agency quoted Foreign Minister Datuk Saifuddin Abdullah as saying today.
“We, of course, will welcome President Putin’s involvement in the Apec 2020 that Malaysia is hosting next year in November,” Saifuddin said after talks with Russian Foreign Minister Sergey Lavrov.
Chile was forced to cancel the 2019 Apec summit as well as the COP25 climate forum, which were planned to be hosted by Santiago, due to mass protests in the country. — Bernama


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Store Bay (known as Milford Bay on OpenCPN) is located on far western end of Tobago. It is the sailing capital of the island.
This bay encompasses Cable Beach and Crown Point, and has excellent provisioning facilities and a wide selection of bars, restaurants and nightclubs.
Although not an official port of entry, it is possible to do clearance here via Scarborough.
This is the best protected anchorage on the island, with good holding in sand. There are also free mooring buoys available to visitors.
In 2011 Jet Skis were banned in Store Bay, however it appears this ban has been lifted, making this a not-so-peaceful anchorage.
There is restricted anchoring in the vicinity of Pigeon Point and Buccoo Reef and vessels (including dinghies) must not enter or anchor without permission of the Minister. There are now patrols policing this and if found in this area, sailors can face summary conviction and fines of up to $6,000.
Security Concern:
There is an unsavory individual who hangs around the Store Bay anchorage (on the park bench next to Bago's Beach Bar). He goes by several different names - Allergy, Ron, Excel. Toyha or Michael. He might offer drugs, a rental car or an Island tour. Beware!: See cruiser's report
Last updated September 2015.


Galvanize Delivers
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Login to Docker to enable pulling images. Defaults to Docker hub if server not specified.
(string)
Docker registry username
(string)
Docker registry password
(string?)
Docker registry server
Promise<void>
:
Nuclear option. Kill and remove all Docker containers
Promise<void>
:
Brings up Vagrant VM from collection definition. Additionally stops any existing VM's so they do not intefere.
(boolean
= false
)
(RootInterface)
Collection definition.
Promise<void>
:
Starts docker-compose based on yml file. Additionally stops any existing task/ctrl stacks.
(boolean
= false
)
(boolean
= false
)
(RootInterface)
Collection definition.
Promise<void>
:
Stops docker-compose based on yml file. Optionally remove containers.
(boolean
= false
)
Promise<void>
:
Stops vagrant virtual machine based on yml file. Optionally remove containers.
Promise<void>
:
Start a task
Promise<{status: TaskStatus, success: boolean, error: Error}>
:
Stop a running task
(string?)
Unique id of task (optional). null stops current task.
Promise<{status: TaskStatus, success: boolean, error: Error}>
:
Clears status of finished task.
{status: TaskStatus, success: boolean, error: Error}
:
Returns copy of task status
TaskStatus
:
Task status
Promise
:
(number)
Promise
: