WaDE [WaDE2.0_schema_star.xml]
| PK | Name | Data Type | NULL | Auto | Default | Comment | FK |
|
| AggregatedAmountID | BigInt |
| Internal unique identifier | |||
| OrganizationID | BigInt | foreign key unique identifier to the organization |
|
||||
| ReportingUnitID | BigInt | foreign key unique identifier to the reporting unit |
|
||||
| VariableSpecificID | BigInt | foreign key unique identifier to the variable |
|
||||
| PrimaryUseCategoryCV | NVarChar(250) |
|
|
||||
| WaterSourceID | BigInt | foreign key unique identifier to the source |
|
||||
| MethodID | BigInt | A unique identifierfor each database instance that implements the table |
|
||||
| TimeframeStartID | BigInt |
| Start date for the allocation each year in MM/DD/YYYY |
|
|||
| TimeframeEndID | BigInt |
| End date for the allocation each year in MM/DD/YYYY |
|
|||
| DataPublicationDateID | BigInt |
| Date that these data were published by the data provider |
|
|||
| DataPublicationDOI | NVarChar(100) |
| a unique digital object identifier into the original dataset | ||||
| ReportYearCV | NChar(4) |
| Annual reporting period that this data are valid. There is a need to ensure the annual reporting period year matches the type of year used by the data provider. For example, if the data are valid for November 2018, the annual reporting period could be 2018 or 2019 depending on whether the data provider uses a calendar or water year. |
|
|||
| Amount | Float | The aggregated variable amount | |||||
| PopulationServed | Float |
| Population served by the aggregated variable amount, If municipal or community water supply is a specified beneficial use | ||||
| CommunityWaterSupplySystem | NVarChar(250) |
| Community Water Supply System name | ||||
| CustomerTypeCV | NVarChar(100) |
| Residential, Commercial, Industrial, Institutional, Combined, Unspecified |
|
|||
| SDWISIdentifierCV | NVarChar(250) |
| If the use is municipal, the data provider can add the SDWIS identifier for the CWS |
|
|||
| PowerGeneratedGWh | Float |
| GWh to be generated by the aggregated variable amount, if thermoelectric is a specified beneficial use | ||||
| IrrigatedAcreage | Float |
| Number of acres irrigated by the aggregated variable amount, if irrigation or agriculture is a specified beneficial use | ||||
| CropTypeCV | NVarChar(100) |
| If the amount of water used is associated with an irrigated acreage of a specific crop type, this can be added. These would be Wheat, Alfalfa, Corn, Hay, etc. |
|
|||
| IrrigationMethodCV | NVarChar(100) |
| The irrigation method used by the irrigator. This could be Flood, Sprinkler, Micro-drip, Laser-leveled Flood, Combination, or Unspecified |
|
|||
| InterbasinTransferToID | NVarChar(100) |
| If the data provider has a water use type for the reporting unit that is designated an interbasin transfer, they may add the receiving basin here. | ||||
| InterbasinTransferFromID | NVarChar(100) |
| If the data provider has a water supply type for the reporting unit that is designated an interbasin transfer, they may add the delivering basin identifier here. |
(none)
(none)
| Diagram Name |
| 3_AggregatedAmounts |


Out on Bail, Honeypreet Insaan Meets Dera Chief Gurmeet Ram Rahim In Sirsa Jail
The meeting between Honeypreet Insaan and Gurmeet Ram Rahim in Sirsa jail continued for about one and a half hours.
New Delhi: Out on bail, Honeypreet Insaan on Monday met Dera Sacha Sauda chief Gurmeet Ram Rahim in Sirsa jail. As per updates, the meeting between the two continued for about one and a half hours.
The two met for the first time on Monday after Honeypreet came out of jail. She had reportedly tried to meet him many times before.
Last month, she was granted bail in a case of riot and violence that broke out after Ram Rahim’s arrest in Panchkula in 2017. She was granted bail after the trial court dropped sedition charges against her and 35 others. She is at present staying in the sect’s headquarters.
For the case of riot, she was in 2018 arrested and was lodged in Ambala Central Jail. Nearly 41 people had lost their lives in the clashes.
The development comes after the Haryana government said it is her fundamental right to meet her foster father Ram Rahim like any other normal individual. Officials, on the other hand felt that the meeting between the two could create a law and order problem in the state.
Self-styled godman Ram Rahim was sentenced to 20 years in jail in August 2017 for raping two women. He has a huge fan following in the region.
As per updates, he was sentenced to life imprisonment along with three others by a special CBI court in Panchkula in January for the murder of a journalist over 16 years ago.
For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on India Latest News on India.com.
Story Timeline
- 06 Nov 2019 Panchkula Violence Case: Honeypreet Gets Bail After Court Drops Sedition Charges Against Her
- 04 Sep 2019 Panchkula Violence Case: Punjab & Haryana High Court Rejects Bail Plea of Honeypreet
Comments - Join the Discussion


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I'm a student at UC San Diego, studying Cognitive Science Human Computer Interaction. Check out my website.
I redesigned the Academic Integrity Website and it was launched November 2015. I redesigned the information architecture and the overall look of the website. I also worked on banners via photoshop.
Phetch is an iOS app targeted for young adults living with their friends in a sharing, communal environment.
As a part of a Information Architecture and Usability class, we were given a project to design and implement a website or application in 10 weeks. I formed a collaborative team of 5 people; I was one of the two UX Designers and the other three were the coders of our group.


Our Services
Our work is not all about innovative technology.
Our mission is to turn your ideas, your concepts, dreams into reality and help you,
our partners, can make change in this world.
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TUBA1C expression levels in LUAD performed by GEPIA. a TUBA1C mRNA expression levels in normal and LUAD tissues. b Differential expression of TUBA1C in different cancer grade. c, d Levels of TUBA1C mRNA expression, overall survival and disease-free survival based on data obtained from GEPIA


A B C D E F G I L M N P R S T U W misc
| across | Apply a function across a selection of columns |
| add_count | Add a count column to the data frame |
| add_tally | Add a count column to the data frame |
| anti_join | Join two data.tables together |
| arrange | Arrange/reorder rows |
| arrange_across. | Arrange by a selection of variables |
| as_tidytable | Coerce an object to a data.table/tidytable |
| between | Do the values from x fall between the left and right bounds? |
| bind_cols | Bind data.tables by row and column |
| bind_rows | Bind data.tables by row and column |
| case | 'data.table::fcase()' with vectorized default |
| case_match | Vectorized 'switch()' |
| case_when | Case when |
| coalesce | Coalesce missing values |
| complete | Complete a data.table with missing combinations of data |
| consecutive_id | Generate a unique id for consecutive values |
| context | Context functions |
| count | Count observations by group |
| crossing | Create a data.table from all unique combinations of inputs |
| cross_join | Cross join |
| cume_dist | Ranking functions |
| cur_column | Context functions |
| cur_data | Context functions |
| cur_group_id | Context functions |
| cur_group_rows | Context functions |
| c_across | Combine values from multiple columns |
| dense_rank | Ranking functions |
| desc | Descending order |
| distinct | Select distinct/unique rows |
| drop_na | Drop rows containing missing values |
| dt | Pipeable data.table call |
| enframe | Convert a vector to a data.table/tidytable |
| expand | Expand a data.table to use all combinations of values |
| expand_grid | Create a data.table from all combinations of inputs |
| extract | Extract a character column into multiple columns using regex |
| fill | Fill in missing values with previous or next value |
| filter | Filter rows on one or more conditions |
| first | Extract the first, last, or nth value from a vector |
| fread | Read/write files |
| full_join | Join two data.tables together |
| get_dummies | Convert character and factor columns to dummy variables |
| group_by | Grouping |
| group_cols | Selection helper for grouping columns |
| group_split | Split data frame by groups |
| group_vars | Get the grouping variables |
| if_all | Create conditions on a selection of columns |
| if_any | Create conditions on a selection of columns |
| if_else | Fast if_else |
| inner_join | Join two data.tables together |
| inv_gc | Run invisible garbage collection |
| is_grouped_df | Check if the tidytable is grouped |
| is_tidytable | Test if the object is a tidytable |
| lag | Get lagging or leading values |
| last | Extract the first, last, or nth value from a vector |
| lead | Get lagging or leading values |
| left_join | Join two data.tables together |
| map | Apply a function to each element of a vector or list |
| map2 | Apply a function to each element of a vector or list |
| map2_chr | Apply a function to each element of a vector or list |
| map2_dbl | Apply a function to each element of a vector or list |
| map2_df | Apply a function to each element of a vector or list |
| map2_dfc | Apply a function to each element of a vector or list |
| map2_dfr | Apply a function to each element of a vector or list |
| map2_int | Apply a function to each element of a vector or list |
| map2_lgl | Apply a function to each element of a vector or list |
| map2_vec | Apply a function to each element of a vector or list |
| map_chr | Apply a function to each element of a vector or list |
| map_dbl | Apply a function to each element of a vector or list |
| map_df | Apply a function to each element of a vector or list |
| map_dfc | Apply a function to each element of a vector or list |
| map_dfr | Apply a function to each element of a vector or list |
| map_int | Apply a function to each element of a vector or list |
| map_lgl | Apply a function to each element of a vector or list |
| map_vec | Apply a function to each element of a vector or list |
| min_rank | Ranking functions |
| mutate | Add/modify/delete columns |
| mutate_across. | Mutate multiple columns simultaneously |
| mutate_rowwise | Add/modify columns by row |
| n | Number of observations in each group |
| na_if | Convert values to 'NA' |
| nest | Nest columns into a list-column |
| nesting | Expand a data.table to use all combinations of values |
| nest_by | Nest data.tables |
| nest_join | Nest join |
| new_tidytable | Create a tidytable from a list |
| nth | Extract the first, last, or nth value from a vector |
| n_distinct | Count the number of unique values in a vector |
| percent_rank | Ranking functions |
| pick | Selection version of 'across()' |
| pivot_longer | Pivot data from wide to long |
| pivot_wider | Pivot data from long to wide |
| pmap | Apply a function to each element of a vector or list |
| pmap_chr | Apply a function to each element of a vector or list |
| pmap_dbl | Apply a function to each element of a vector or list |
| pmap_df | Apply a function to each element of a vector or list |
| pmap_dfc | Apply a function to each element of a vector or list |
| pmap_dfr | Apply a function to each element of a vector or list |
| pmap_int | Apply a function to each element of a vector or list |
| pmap_lgl | Apply a function to each element of a vector or list |
| pmap_vec | Apply a function to each element of a vector or list |
| pull | Pull out a single variable |
| relocate | Relocate a column to a new position |
| rename | Rename variables by name |
| rename_with | Rename multiple columns |
| replace_na | Replace missing values |
| right_join | Join two data.tables together |
| rowwise | Convert to a rowwise tidytable |
| row_number | Ranking functions |
| select | Select or drop columns |
| semi_join | Join two data.tables together |
| separate | Separate a character column into multiple columns |
| separate_longer_delim | Split a string into rows |
| separate_rows | Separate a collapsed column into multiple rows |
| separate_wider_delim | Separate a character column into multiple columns |
| separate_wider_regex | Separate a character column into multiple columns using regex patterns |
| slice | Choose rows in a data.table |
| slice_head | Choose rows in a data.table |
| slice_max | Choose rows in a data.table |
| slice_min | Choose rows in a data.table |
| slice_sample | Choose rows in a data.table |
| slice_tail | Choose rows in a data.table |
| summarise | Aggregate data using summary statistics |
| summarise_across. | Summarize multiple columns |
| summarize | Aggregate data using summary statistics |
| summarize_across. | Summarize multiple columns |
| tally | Count observations by group |
| tidytable | Build a data.table/tidytable |
| top_n | Select top (or bottom) n rows (by value) |
| transmute | Add new variables and drop all others |
| tribble | Rowwise tidytable creation |
| uncount | Uncount a data.table |
| ungroup | Grouping |
| unite | Unite multiple columns by pasting strings together |
| unnest | Unnest list-columns |
| unnest_longer | Unnest a list-column of vectors into regular columns |
| unnest_wider | Unnest a list-column of vectors into a wide data frame |
| walk | Apply a function to each element of a vector or list |
| %in% | Fast '%in%' and %notin% operators |
| %notin% | Fast '%in%' and %notin% operators |


with all the ingredients, except your favorite liquor! Premeasured and packaged so anyone can easily make four (4) cocktails from the comfort of home.
A classic drink made with simple syrup, bitters, and either bourbon or rye whiskey.
Lemon juice, simple syrup, and whiskey or bourbon make up this popular drink.
This refreshing cocktail choice uses lime juice, simple syrup, and rum.
A true holiday delight, this cocktail uses a cranberry and cinnamon infused simple syrup, lemon, lime, and orange juice with either whiskey or bourbon.


Every framework runs in his own iFrame, thus no conflicts can happen. Tests are run selector by selector, with an interval to prevent the browser from freeezing.
Tests are run in a neutral environment, no library or framework is included in the main javascript test.
Under firefox, disable firebug for more accurate results, as most frameworks could throw warnings, slowing down the dom query process.
Tests are run against a local copy of this document.
| selectors |
|---|
| final time (less is better) |
| the faster | the slower | exception thrown or zero elements found | different returned elements |
|---|---|---|---|


 With infrared night vision and a weather-resistant design
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Key Concepts in Oppia
An Oppia exploration simulates a conversation between a tutor and a
student. For example:
-
Tutor: Let's say you had a red ball, a blue ball and a
yellow ball. How many different color arrangements can you get if you put
them in a straight line?
- Student: (thinks) There are four ways.
- Tutor: OK, what are they?
-
Student: Well, you can put the red ball on the left, the
blue ball in the middle, and the yellow ball on the right -- so,
Red-Blue-Yellow. There's also Blue-Red-Yellow, Blue-Yellow-Red, and
Red-Blue-Yellow. That's four ways.
- Tutor: I think you've counted one of them twice...
-
Student: Oops, oh yes. There's an extra Red-Blue-Yellow.
So, there's three ways.
-
Tutor: Well, let's check that we haven't missed any.
Let's say the red ball is on the left. Have you found all the
possibilities in that case?
-
Student: Well, there's Red-Blue-Yellow -- oh, and
Red-Yellow-Blue. Oh, and also Yellow-Blue-Red. And Yellow-Red-Blue.
(Pause.) I think that's all.
- Tutor: OK, are you sure we haven't missed any?
-
Student: Well, I found all the ways with the Red ball on
the left -- and all the ways with the Blue ball on the left, and all the
ways with the Yellow ball on the left. So I think that's all.
-
Tutor: Yes, that's great. It's important to work
systematically and do this sort of thing in an orderly way, otherwise
you'll probably miss something. By the way, it looks like there are two
arrangements for each of the three cases you mention; I wonder why that
is...? [1]
Notice that this conversation involves the student a lot, and that the
tutor is trying to understand the student's answers and provide appropriate
feedback that will help the student to get a better understanding of what's
going on.
In Oppia, such a conversation is modelled as a series of cards.
Each card is made up of a 'tutor' part (the content) and a
'student' part (the interaction). For example, here is a
screenshot of the learner view of an exploration that models the first part
of the above conversation:
The tutor presents a question with a picture (the 'content'), and offers,
as the 'interaction', an input field that allows the student to type in a
number.
Based on the student's response, the tutor may decide to do different things:
-
If the answer is 6, they may immediately move to a harder follow-up
question, such as the case of four balls.
-
If the answer is less than 6, they may ask the student to enumerate the
cases, in the hope that the error will become clearer.
-
If the answer is obviously too small or obviously too large, they may
point that out, in order to help the student learn how to do 'sanity
checks'.
and so on. These choices are called rules. As responses
from students come in, the rules can be edited, and new rules added --
there's no need to determine all the possible rules at the outset. Note
that all this complexity is effectively hidden from the learner, since each
learner playthrough resembles a linear conversation. The following
screenshot shows what two different playthroughs of the same exploration
look like, when placed side-by-side:
To summarize:
- The learning units in Oppia are called explorations.
- Each exploration is divided up into cards.
-
Each card consists of some (non-interactive) content and
an interaction which accepts a student's response.
-
Based on the response, Oppia determines what to say next based on a set
of rules.
Footnotes
[1] Note the difference between this conversation and the following two
conversations:
-
Tutor: Let's say you had a red ball, a blue ball and a
yellow ball. How many different color arrangements can you get if you put
them in a straight line?
- Student: (thinks) There are four ways.
- Tutor: Wrong. Try again.
- Student: (thinks) There are five ways.
- Tutor: Wrong. Try again.
and
-
Tutor: Let's say you had a red ball, a blue ball and a
yellow ball. How many different color arrangements can you get if you put
them in a straight line?
- Student: (thinks) There are four ways.
-
Tutor: No, there are six ways. This is because there are
three ways to pick the ball in the first position. For each of these
three ways there are two ways to pick the ball in the second position.
After that, the final ball is fixed. So there are 3 x 2 x 1 ways, which
is 6 ways.
- Student: ...


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User: brandongoodin Date: Dec 13, 2007 Time: 12:49:06 PM |
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JSONDeserializer takes as input a json string and produces a static typed object graph from that json representation. |
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JSONSerializer is the main class for performing serialization of Java objects to JSON. |
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ObjectFactory allows you to instantiate specific types of objects on path or class types. |
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Internal class used by Flexjson to represent a path to a field within a serialized stream. |
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This is an internal class for Flexjson. |
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Internal class used by Flexjson to represent a path to a field within a serialized stream. |
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Line Component Examples
This example shows line component with different configurations
1. Basic line with x and y scale provided
2. Line with wider stroke width and red color
2. Line with lower opacity and 'step-after' interpolation


Purging Cached Sitemap
How to purge the currently cached Sitemap forcing it to be regenerated on the next request.
- Navigate to Admin > Advanced Settings > Search Engine Site Map - OR - Go to a Sitemap module.
- Expand the General Sitemap Settings section.
- At Days To Cache Sitemap For, click the Clear Cache link.
Purging the cached Sitemap


--- layout: post title: "Day 14 - Bar Brothers Workout" subtitle: "In the morning I did a workout before going to work, I didn't have much time so I only did half cardio training which included 15 minutes and then I gained weight, guess what the results were" date: 2019-11-04 background: '/img/posts/intro-barbrothers.png' ---
The results were really good, and just what I expected, that's exactly what happened last Friday, I did morning workouts and my weight dropped a lot.
Today is a rest day for me, I feel leg pain and I know I need rest. It's important to listen to the body, to give everything in order to succeed is important, but you have to know when to let go so that I can move forward faster afterwards.
In the evening I ate vegetable soup (the soup did not include potatoes), ate two bowls of soup and drank sparkling water. After I went to bed early, I was really tired from this day, I think it's mostly thanks to morning workouts.
Tomorrow we will see what the results will be, I expect to see at least 94kg results.
Good night.
Cheers!


🤩 Star-Struck
An excited face showing stars instead of eyes.
Star-Struck was approved as part of Unicode 10.0 in 2017 under the name “Grinning Face With Star Eyes” and added to Emoji 5.0 in 2017.
🚩 New in 2017. Requires an updated operating system.
Also Known As
- 🤩 Excited
- 🤩 Star Eyes
- 🤩 Starry Eyed
- 🤩 Wow Face
Unicode Name
🤩 Grinning Face With Star Eyes


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Third Wave Coffee
Sketch, Illustrator, Mobile
Overview
It's hard to find good coffee. I recently returned from a cross-country roadtrip, the goal of which was partially to explore great coffee across the U.S. Along the way, it became very apparent that there lacks a good product to discover the high quality coffee that is now nearly ubiquitous across the country. Yelp, Google Places, and Foursquare place an emphasis on things like service, food, vibe, and venue rather than on the coffee itself. This provides a good experience for many users, but leaves coffee lovers with little guidance or direction. There is a small but rapidly growing craft coffee community that has no good way to discover local roasters and share coffee experiences.
At the time, my solution consisted of a couple relatively convoluted methods. To discover must-try craft coffee in a particular city, I would cross reference online coffee writings with the intersection of Yelp’s results for “roaster” and “pour over.” Then, I had pore through reviews and images, seeking the roaster that a cafe served. I had take notes on a particular coffee bean on a note-taking app while keeping scores on a personally calibrated scale. I had seen similar problems solved well with apps like Untappd for beer, which has become very popular. I decided to create a simple, beautiful app for both coffee people and non-coffee people.
Third Wave will have 3 basic features:
Discover New Beans
Record Tasting Notes
Rate Coffee Beans
Future: Share Coffee Experiences
Challenge
Creating an app that is approachable and helpful to people of all knowledge levels
Immediately instill a sense of trust
A user should feel like they’re getting a recommendation from a friendly barista


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China says ready to work with ASEAN for South China Sea peace
BANGKOK: China is ready to work with Southeast Asian countries for long term peace and stability in the South China Sea, Chinese premier Li Keqiang said on Sunday (Nov 3) after meeting leaders from the Association of Southeast Asian Nations (ASEAN).
China's sweeping maritime claims in the South China Sea are rejected by several members of ASEAN, which have competing claims in the busy waterway.
READ: Southeast Asia leaders to push for progress on China-backed trade pact
READ: China says US 'maliciously hyping up' South China Sea issue
At the summit in Bangkok, Li cited progress on a long-awaited South China Sea code of conduct, due for completion within three years.
“We are willing to work with ASEAN, under the consensus that had been reached, to sustain long term peace and stability in the South China Sea, according to the timetable set for three years,” Li said in a statement.
A legally binding code has long been a goal for ASEAN members sparring over what they see as China's disregard of sovereign rights and its obstruction of their energy exploration and fishing.


Welcome to our registry page! Below you will find a list of exciting gift options to purchase for our upcoming trip to Europe. If there is no functioning payment button next to the item, please mail your monetary gift to
13182 S. Wamblee Valley Rd.
Conifer, Colorado 80433
Don't forget to let us know what you purchased by filling in the memo line on your check! Thank you for being such an important part of our trip.


Michele Marie Geissler
Republican
Marketing Director, H2 Botanix, based in Orlando, Florida. Develop marketing materials and online presence. June 2020-present Area Representative, Classical Conversations. Support and grow 90-120 homeschool programs throughout Colorado. Plan 3 day workshops for parents and camps for hundreds of children during the summer. Jan 2015-Jan 2020 Director, Classical Conversations. Facilitate and mentor students and parents in a classical, community based homeschool program. Weekly lead classes for the students which involved planning, tracking and assessing middle school students. Communication on a weekly or more basis with the parents to disseminate information to them and assess their students' learning progress.
BS in Education, BS in History
80403
My husband has donated to a variety of campaigns, typically Republicans. I choose to donate to non-profit organizations.
I've volunteered at our church as a children's leader.
I've advocated for a few conservative causes in Colorado but all of my advocacy has been word of mouth among my circle of influence. These issues mainly have to do with homeschooling freedoms, right to life issues and other issues of freedom.
I have become more active over the last several years politically and want to serve in the election process by ensuring that it is a fair and balanced set up. I look forward to learning more about the behind the scenes system used to determine districts and how the community and people are served by this system.
In our homeschooling group, I facilitate conversations among 12-15 year old students. I've worked in this position for the past 4 years. One of our core tenets is teaching the students how to think, not telling them what to think. Through this process, I listen to the position a person has and through asking questions, can get them to understand why another person may think differently than they do.
I have a very analytical mind and often can see the big picture while also considering the details necessary to implement that idea. One of our subjects that I tutor for our middle school group is Formal Logic so I'm very familiar with logical reasoning. There is a serious lack of it in our world today and it leads to many conflicts. Through the use of Logic and Reasoning, a person can often understand their argument or lack of cohesiveness in a much deeper way. Logic is a bridge through which we can detect fallacies and work through to a common understanding based on reasonableness and compromise.
female


Science fiction (abbreviated SF or sci-fi with varying punctuation and capitalization) is a broad genre of fiction that often involves speculations based on current or future science or technology. Science fiction is found in books, art, television, films, games, theatre, and other media. In organizational or marketing contexts, science fiction can be synonymous with the broader definition of speculative fiction, encompassing creative works incorporating imaginative elements not found in contemporary reality; this includes fantasy, horror and related genres.
Although the two genres are often conflated as science fiction/fantasy, science fiction differs from fantasy in that, within the context of the story, its imaginary elements are largely possible within scientifically established or scientifically postulated laws of nature (though some elements in a story might still be pure imaginative speculation). Exploring the consequences of such differences is the traditional purpose of science fiction, making it a "literature of ideas". Science fantasy is largely based on writing entertainingly and rationally about alternate possibilities in settings that are contrary to known reality.


The Beacon
Multifaceted Gaming Community
Upcoming Events
- These boxes could be better
- Maybe add a image slider with the current map?
Did you know?
Loona (stylized as LOOΠΔ) is a South Korean girl group formed by Blockberry Creative. Its twelve members were revealed in a periodic fashion, corresponding to their Korean name Idarui Sonyeo (이달의 소녀), which translates to "Girl of the Month".
Loona commenced their pre-debut project in October 2016, with each member releasing a promotional single over the next eighteen months. The group has formed three sub-units: Loona 1/3, Loona Odd Eye Circle and Loona yyxy. Their debut EP as a full ensemble, [+ +] (2018), was supported by the lead single "favOriTe" and the title track "Hi High."
Information from Wikipedia, The Free Encyclopedia.


I have read a great article about
Visual Studio Extensibility. What into
my brain have come after reading this
article was the
thousand
ways of extension
that Visual Studio Provides.
I've found this especially important:
Because Visual Studio has been architected with extensibility in mind, the question is not whether there are appropriate extension points for a feature of your imagination. The real question is what those points are and how you can add your features.


\begin{minipage}[position]{width} text \end{minipage}
The minipage environment is similar to a \parbox command. It takes the same optional position argument and mandatory width argument. You may use other paragraph-making environments such as the list-making and tabular environments inside a minipage. You can also use the minipage environment or \parbox command to put one or more paragraphs inside of a picture environment or as a table item, for example.
There is no paragraph indentation in the minipage environment. That is, LaTeX sets \parindent to zero; however, you may override this with a \setlength command.
Footnotes in a minipage environment are handled in a way that is particularly useful for putting footnotes in figures or tables. A \footnote command puts the footnote at the bottom of the minipage instead of at the bottom of the page, and it uses the mpfootnote counter instead of the ordinary footnote counter. If you want the footnote in a minipage environment to be placed at the bottom of the actual page, in the usual fashion, use the \footnotemark and \footnotetext commands.
Note: if you put one minipage inside another and if you are using footnotes, they may wind up at the bottom of the wrong minipage.
See also Environments,
Spaces and Boxes
See also \parbox
Return to the LaTeX Table of Contents


Path of Exile Main Website Forums
Path of Exile Ladder Builds
Reddit for Path of Exile Builds
Path of Exile Main Website
Path of Exile Youtube Channel
Path of Exile Wiki
Reddit for Path of Exile
Path of Exile on Twitch.TV


Developed the web application using ASP.NET MVC 4 for desktop, iPad and completed the project with high efficiency which reduced loss of members’ information
The purpose of the application is to get members' details that include capturing their photo, photo id using ipad. This information
is stored in the following databases - SQL, Datamagine, ACSC
Maketing Kiosk
Enhanced the web application using ASP.NET MVC 4, Windows Forms to include bar scanner functionality - SQL, Datamagine, ACSC
Implemented SDLC methodology for software development
e-Credit Application
Developed the web application for members to fill out e-credit forms online that reduced unnecessary paperwork and optimized the existing process
The application reduced manual efforts and lot of paperwork by 70%
It was developed using ASP.NET MVC 4
Patron Screening System
Enhanced the web application using ASP.NET to include manual entry of passport/NRIC details
Included ID scanner functionality
LMS Security System
Developed the web application to make it compatible with android devices
Created ASP.NET login screen, room number details screen
2014-2015
Lead Engineer
HCL TECHNOLOGIES LTD.
Projects
Mobile Sign Up with Offline
Enhanced the web application using ASP.NET MVC 4
The purpose of the application is to get members' details that include capturing their photo, photo id using ipad. This information
is stored in the following databases - SQL, Datamagine, ACSC
e-learning Application
Enhanced e-learning web application using ASP.NET MVC 4 bar scanner functionality - SQL, Datamagine, ACSC
Implemented SDLC methodology for software development
Game Speed Survey - POC
Enhanced “Marketing Kiosk” application using ASP.NET MVC, Windows Forms to include bar scanner functionality - SQL, Datamagine, ACSC
Implemented SDLC methodology for software development
2016-2017
Graduate Intern
VISUAL BI SOLUTIONS
Projects
VBI
Built advanced Visualization Extensions for Design Studio using JavaScript, jQuery and AngularJS
Worked on enhancing charts and export options using Highcharts.js and d3.js
Used advanced JavaScript libraries and frameworks in developing different components (plugins) for efficient data visualization
Maintained close communication with UI/UX team to enhance product quality
Supported extensions and communicated updates in daily scrum meetings using JIRA software
Followed Agile development and consistently delivered new features on time during sprints
Certifications
Starting 2017
MongoDB for Node.js Developers
MongoDB University
Starting 2017
Python Bootcamp
Udemy
Starting 2016
Google Analytics
Google
Starting 2016
Google Ad Words
Google
Contact Me
Casino Database Management System
The company “ABC Casino” has just opened up its new casino property at Las Vegas. They require a database to store information about its patrons’ and track the games played and offers availed by them.
It is required to store members’ data such as personal information, transaction details, membership card type, offers received, games offered etc.
Each member is provided with a card and is allowed to play one or more games based on their card type. Based on the bet amount each player has bid in a game, he or she is given an offer.
Business Rules:
Each Member has Id, First Name, Last Name, Address, Date of Birth, Phone Number, Nationality, Zip Code
Each Transaction has Id, Membership Id, Bet amount, Transaction Win/Loss, Game Id
Each Games has Id, Game Type, Game Name
Each Offers has Id, Offer Description
Each Card has Id, Type, Tier
A member can have only one card, but a card can be possessed by many members
A member is associated with many transaction IDs ,but a Tran ID is associated with only one Member
A Transaction can be associated with only one game ID, but a game ID can be associated with many transactions
A Member can have only one offer, but an Offer can be given to any number of Members
A Card can allow one or many number of games and a game can be played using one or more cards
Date: August - December 2015
Client: ABC Casino
Language/Tool: SQL/Oracle
Apartment Management System
This project is all about apartment management. The application discloses the number of apartments that are available for lease and sale.
Date: January - May 2016
Client: Alliance Apartments
Language/Tool: Java
e-Commerce Tracking
The online marketing space is in constant shift as new technologies, services, and marketing tactics gain popularity and become the new standard. Online store owners are one of the many different segments affected by these constant evolutions. In order for these business owners to survive and thrive, they need to be able to make better decisions faster. This is where web analytics comes into play.
Enhanced Ecommerce was rolled out as one of the major improvements of Universal Analytics. It is an improved version of the ecommerce tracking available in Classic Analytics (ga.js).
That previous version of Google ecommerce tracking did a good job of collecting information about online transactions, but it was unable to provide insights into how customers arrived at those transactions. Enhanced Ecommerce captures the more complex processes that customers go through before and after they make purchases: viewing and interacting with products, adding and removing items from their shopping carts, responding to promotions, or requesting refunds.
Date: January - May 2016
Client: Shared.Style
Language/Tool:Google Analytics
Mongomart
Mongomart is a Node.js application designed for selling MongoDB University's products.
Products are available in the following categories
Apparel
Books
Electronics
Kitchen
Office
Stickers
Swag
Umbrellas
Date: February 2017
Client: MongoDB University
Language/Tool:MongoDB
Project Name
Lorem ipsum dolor sit amet consectetur.
Escape is a free PSD web template built by Mathavan Jaya. Escape is a one page web template that was designed with agencies in mind. This template is ideal for those looking for a simple one page solution to describe your business and offer your services.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.
Project Name
Lorem ipsum dolor sit amet consectetur.
Dreams is a free PSD web template built by Mathavan Jaya. Dreams is a modern one page web template designed for almost any purpose. It’s a beautiful template that’s designed with the Bootstrap framework in mind.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.


Python 3.6.3 |Anaconda custom (64-bit)| (default, Oct 6 2017, 12:04:38)
Type "copyright", "credits" or "license" for more information.
IPython 6.1.0 -- An enhanced Interactive Python.
Restarting kernel...
In [1]: runfile('/Users/JSen/Documents/multi_class_logistic/multi_class.py', wdir='/Users/JSen/Documents/multi_class_logistic')
Optimization terminated successfully.
Current function value: 0.004379
Iterations: 412
Function evaluations: 413
Gradient evaluations: 413
Optimization terminated successfully.
Current function value: 0.037992
Iterations: 762
Function evaluations: 763
Gradient evaluations: 763
Optimization terminated successfully.
Current function value: 0.047234
Iterations: 765
Function evaluations: 766
Gradient evaluations: 766
Optimization terminated successfully.
Current function value: 0.018973
Iterations: 669
Function evaluations: 670
Gradient evaluations: 670
Optimization terminated successfully.
Current function value: 0.041008
Iterations: 797
Function evaluations: 798
Gradient evaluations: 798
Optimization terminated successfully.
Current function value: 0.006572
Iterations: 489
Function evaluations: 490
Gradient evaluations: 490
/Users/JSen/Documents/multi_class_logistic/multi_class.py:63: RuntimeWarning: divide by zero encountered in log
J =( np.dot(np.transpose(-y), np.log(h)) - np.dot(np.transpose(1-y), np.log(1-h)) )/m + lambda_coe/(2*m) * np.dot(temp.T, temp)
/Users/JSen/Documents/multi_class_logistic/multi_class.py:63: RuntimeWarning: divide by zero encountered in log
J =( np.dot(np.transpose(-y), np.log(h)) - np.dot(np.transpose(1-y), np.log(1-h)) )/m + lambda_coe/(2*m) * np.dot(temp.T, temp)
Warning: Desired error not necessarily achieved due to precision loss.
Current function value: nan
Iterations: 203
Function evaluations: 214
Gradient evaluations: 214
Optimization terminated successfully.
Current function value: 0.070613
Iterations: 816
Function evaluations: 817
Gradient evaluations: 817
Optimization terminated successfully.
Current function value: 0.061042
Iterations: 757
Function evaluations: 758
Gradient evaluations: 758
Warning: Desired error not necessarily achieved due to precision loss.
Current function value: nan
Iterations: 126
Function evaluations: 139
Gradient evaluations: 139
0.9738
/Users/JSen/Documents/multi_class_logistic/multi_class.py:63: RuntimeWarning: divide by zero encountered in log
J =( np.dot(np.transpose(-y), np.log(h)) - np.dot(np.transpose(1-y), np.log(1-h)) )/m + lambda_coe/(2*m) * np.dot(temp.T, temp)
/Users/JSen/Documents/multi_class_logistic/multi_class.py:63: RuntimeWarning: divide by zero encountered in log
J =( np.dot(np.transpose(-y), np.log(h)) - np.dot(np.transpose(1-y), np.log(1-h)) )/m + lambda_coe/(2*m) * np.dot(temp.T, temp)
In [2]:


---
layout: default
title: alkan lab / support
categories:
- support
---
Developing rapid diagnostic kit for sepsis (Sepsi-Fast).
- Afyon Health Sciences University Scientific Research Project
2021-2022.
- PI: Nurullah Okumuş
- Co-PI: Can Alkan, Urartu Şeker, Serdar Ceylaner
- Students and Postdocs: Ricardo Roman Brenes and Nermin Çelik
- Total 70,000 for one year (Bilkent
Bioinformatics and Computational Genomics portion)
Abstract
In this project we will develop algorithms to determine antibiotic
resistance and susceptibility in newborn sepsis cases.
Dissemination


--- title: 'AFLW + fitzRoy, Part II: Team-by-team matchplay profiles' author: Jacquie Tran date: '2019-02-17' slug: aflw-match-analysis-part-ii categories: - On-field analyses tags: - football - aflw - r stats - sport science - sports analytics - web scraping - women's sport draft: yes ---
(source: AFL Nation)
The focus of this post is on creating AFLW team matchplay profiles, using match data from the 2017 and 2018 seasons. By drawing on match data from the 2 completed AFLW seasons thus far, this post also outlines how I think about, analyse, and present insights from small data sets.
For more on retrieving and preparing AFLW match data, check out Part I of this series of posts or this GitHub repo.
Load up those R packages and import the data. Here, for convenience, I am importing from a cleaned CSV file that includes match data from the 2017 and 2018 AFLW seasons.
Ordinarly, my preference is to obtain data from APIs (live connections) or to ‘re-scrape’ the data to ensure I am accessing the most up-to-date version.
knitr::opts_chunk$set(eval = FALSE)
library(readr)
library(dplyr)
library(stringr)
library(knitr)
library(kableExtra)
library(tidyr)
library(ggplot2)
library(ggridges)
# Import aflw_merged data set from GitHub repo
aflw_merged <- read_csv(
"https://raw.githubusercontent.com/jacquietran/aflw_data_retrieval/master/output/aflw_merged.csv", col_names = TRUE, col_types = NULL)
This data set is small in the sense that we have:
We can do the simple math:
2 seasons x ((7 rounds x 4 matches per round) + 1 grand final) = 58 matches
…and we can check that we have the same number of matches represented in the data set:
length(unique(aflw_merged$Match.Id))
By documenting simple features and constraints of a data set, we as responsible analysts can rule out (or temporarily park) certain analyses since they won’t produce reliable results.
For example, we can’t use this data to identify common patterns when Team A plays Team B. At most, a pairing of Team A and Team B will appear only twice in a season if both Team A and Team B both make it to the grand final. All other pairings will appear only once per season.
So what can we do with small data sets like this one?
With small samples, the key is to use as much of the data as possible - don’t slice it up in too many ways! More specifically, this means:
One typical from of whole-group analysis is to produce league-wide summary statistics. By including all match data from both seasons, we get to include 116 records in this analysis (58 matches x 2 teams per match = 116).
These days, my ‘default’ approach is to calculate medians and interquartile ranges, rather than means and standard deviations. You may recall from your high school maths classes: The former measures (median and interquartile range) are less affected by outliers that exist in skewed data sets, and in normally distributed data sets, the median will approximate the mean anyway.
# Calculate summary stats for goals, behinds, and points scored
# Both seasons combined
aflw_league_scoring <- aflw_merged %>%
summarise(num_matches = length(Match.Id),
goals_median = median(goals),
goals_IQR = IQR(goals),
behinds_median = median(behinds),
behinds_IQR = IQR(behinds),
points_for_median = median(points_for),
points_for_IQR = IQR(points_for)) %>%
mutate(team = "All teams combined") %>%
select(team, everything()) # Reorder the columns
# Display table
aflw_league_scoring %>%
kable("html") %>%
kable_styling()
We can adapt this code chunk by using the group_by()
and ungroup()
functions to generate team-specific summary statistics, like so:
# Calculate team-specific scoring summary stats
aflw_team_scoring <- aflw_merged %>%
group_by(team) %>%
summarise(num_matches = length(Match.Id),
goals_median = median(goals),
goals_IQR = IQR(goals),
behinds_median = median(behinds),
behinds_IQR = IQR(behinds),
points_for_median = median(points_for),
points_for_IQR = IQR(points_for)) %>%
# Sort by median points scored, descending
arrange(desc(points_for_median))
# Display table
aflw_team_scoring %>%
kable("html") %>%
kable_styling()
We could also supplement these data summaries with a plot.
Note that we are using the aflw_merged
data set for the plot, rather than plotting the summary statistics stored in aflw_league_scoring
and aflw_team_scoring
. Tracey Weissgerber explains the thinking behind this with respect to bar and line charts, but the underlying concepts that she emphasises apply here too.
Designing better figures for small studies: Why you shouldn’t use bar graphs for continuous data and what to do instead (A visual Q&A thread)https://t.co/vnLdq4I9zT pic.twitter.com/rAC4Axk3Lo
— Tracey Weissgerber (@T_Weissgerber) January 22, 2019
# Create an ordered data set for plotting purposes
aflw_scoring_team_ordered <- aflw_merged %>%
group_by(team) %>%
mutate(points_for_median = median(points_for)) %>%
ungroup() %>%
arrange(desc(points_for_median)) %>%
mutate(team = factor(team, levels = rev(unique(team))))
# Build plot
p <- ggplot(aflw_scoring_team_ordered,
aes(x = points_for, y = team, fill = team))
p <- p + geom_vline(
xintercept = aflw_league_scoring$points_for_median,
size = 2, colour = "grey")
p <- p + geom_density_ridges(quantile_lines = TRUE, quantiles = 2,
scale = 0.9, jittered_points = TRUE,
position = position_points_jitter(width = 0.05, height = 0),
point_shape = '|', point_size = 3, point_alpha = 1, alpha = 0.7)
p <- p + geom_text(
aes(label = paste0("League median = ",
aflw_league_scoring$points_for_median,
" points"),
x = 32, y = "Melbourne"), hjust = -0.1, vjust = -4.75,
colour = "darkgrey")
p <- p + labs(
title = "Distribution of total points scored by AFLW teams",
subtitle = "All matches, 2017 & 2018 AFLW seasons",
x = "Points scored")
p <- p + scale_y_discrete(
expand = expand_scale(add = c(0.5, 1.25)))
p <- p + theme_minimal()
p <- p + theme(
legend.position = "none",
panel.grid.minor = element_blank(),
plot.title = element_text(size = 14),
plot.subtitle = element_text(size = 12),
axis.title.x = element_text(size = 14),
axis.title.y = element_blank(),
axis.text = element_text(size = 12))
# Display plot
p
A common way of profiling team attributes using game statistics is to organise actions into different matchplay categories. For this analysis, I’m grouping the actions as follows:
Grouping game statistics in this way allows us to retain detailed information from variable-specific analyses, while also creating a framework to ‘zoom out’ and compare teams in terms of general areas of strength and weakness. For example, a team’s profile might suggest that they are particularly strong (compared to other teams) in their defensive actions, but are sub-par when it comes to scoring actions.
I like to analyse data in this manner as one of many elements in analysing opposition teams. This approach is useful because you can narrow the focus of your scouting through video. If the data indicates that a team’s key strength is their defense, then you might choose to focus your attention on studying clips of their defensive tactics. The numbers alone don’t tell the whole story, especially in the case of match data that is currently available in AFLW; the category of ‘defensive actions’ only includes measures related to tackling, intercepts, and points against (i.e., points allowed). The quantitative analysis gives you guiding information for follow-up analyses and efficiency gains, while watching and analysing game video provides important contextual information such as player positioning, team shape, timing, decisions made, and skill performance. Using the two together can provide a more well-rounded picture of a team’s tactics and strategies.
# Subset to scoring variables
aflw_scoring_wide <- aflw_merged %>%
select(contains(".Id"), Round.Number, Round.Abbreviation, team, points_for,
goals, behinds, goal_accuracy, goal_assists, goal_efficiency,
shot_efficiency, shots_at_goal)
# Retain wide format for data summary
# Reshape wide to long for plotting
aflw_scoring_long <- aflw_scoring_wide %>%
gather(points_for, goals, behinds, goal_accuracy, goal_assists,
goal_efficiency, shot_efficiency, shots_at_goal,
key = "variable", value = "value") %>%
# Order factor levels within $variable
# to specify order of appearance when plotted
mutate(variable = factor(variable,
levels = c("points_for", "goals", "behinds",
"goal_accuracy", "goal_assists",
"goal_efficiency", "shot_efficiency",
"shots_at_goal")))
# TODO: Create data summary
# TODO: Identify top 3 teams for each metric
# Plot
p <- ggplot(aflw_scoring_long, aes(x = team, y = value))
p <- p + facet_wrap(~variable, nrow = 2, scales = "free_x")
p <- p + geom_boxplot(aes(group = team), outlier.shape = NA)
p <- p + geom_point(alpha = 1/3, size = 3, aes(colour = team))
p <- p + coord_flip()
p <- p + theme(legend.position = "none")
Perhaps the most important part of working with small data sets is to take a conservative approach when interpreting your results and communicating your observations to others. The goal of data analysis is to use information to approximate the truth (Weston, 1987), to understand ‘the way things are’.


| raftery.diag {coda} | R Documentation |
raftery.diag
is a run length control diagnostic based on a
criterion of accuracy of estimation of the quantile q
. It is
intended for use on a short pilot run of a Markov chain. The number
of iterations required to estimate the quantile q to within an
accuracy of +/- r with probability p is calculated. Separate
calculations are performed for each variable within each chain.
If the number of iterations in data
is too small,
an error message is printed indicating the minimum length of
pilot run. The minimum length is the required sample size for a
chain with no correlation between consecutive samples. Positive
autocorrelation will increase the required sample size above this
minimum value. An estimate I
(the ‘dependence factor’) of the
extent to which autocorrelation inflates the required sample size
is also provided. Values of I
larger than 5 indicate strong
autocorrelation which may be due to a poor choice of starting value,
high posterior correlations or ‘stickiness’ of the MCMC algorithm.
The number of ‘burn in’ iterations to be discarded at the beginning of the chain is also calculated.
raftery.diag(data, q=0.025, r=0.005, s=0.95, converge.eps=0.001)
data |
an |
q |
the quantile to be estimated. |
r |
the desired margin of error of the estimate. |
s |
the probability of obtaining an estimate in the interval (q-r,q+r). |
converge.eps |
Precision required for estimate of time to convergence. |
A list with class raftery.diag
. A print method is available
for objects of this class. the contents of the list are
tspar |
The time series parameters of |
params |
A vector containing the parameters |
Niters |
The number of iterations in |
resmatrix |
A 3-d array containing the results: M the length of "burn in", N the required sample size, Nmin the minimum sample size based on zero autocorrelation and I = (M+N)/Nmin the "dependence factor" |
The estimated sample size for variable U is based on the process Z_t
= d(U_t <= u) where d is the indicator function and u is the
qth quantile of U. The process Z_t is derived from the Markov
chain data
by marginalization and truncation, but is not itself
a Markov chain. However, Z_t may behave as a Markov chain if
it is sufficiently thinned out. raftery.diag
calculates the
smallest value of thinning interval k which makes the thinned
chain Z^k_t behave as a Markov chain. The required sample size is
calculated from this thinned sequence. Since some data is ‘thrown away’
the sample size estimates are conservative.
The criterion for the number of ‘burn in’ iterations m to be
discarded, is that the conditional distribution of Z^k_m
given Z_0 should be within converge.eps
of the equilibrium
distribution of the chain Z^k_t.
raftery.diag
is based on the FORTRAN program ‘gibbsit’
written by Steven Lewis, and available from the Statlib archive.
Raftery, A.E. and Lewis, S.M. (1992). One long run with diagnostics: Implementation strategies for Markov chain Monte Carlo. Statistical Science, 7, 493-497.
Raftery, A.E. and Lewis, S.M. (1995). The number of iterations, convergence diagnostics and generic Metropolis algorithms. In Practical Markov Chain Monte Carlo (W.R. Gilks, D.J. Spiegelhalter and S. Richardson, eds.). London, U.K.: Chapman and Hall.


spojy package¶
Subpackages¶
Submodules¶
spojy.complete_profile_info module¶
‘ This module takes as input: i> the username of the profile that you want to gather data about. ii> network proxy (optional) iii> the maximum number of asynchronous that can be sent at a time,this defaults to 77 and returns the following: i> world rank of the user. ii> total points of the user. iii> a dictionary with languages used as the key and the number of problems solved with that language as the value. iv> a dictionary with problem tag as the key and the number of problems with that problem tag as value.
spojy.problem_info module¶
‘ This module takes as input: i> a list of problem urls ii> network proxy (optional) ii> network proxy (optional) and returns a dictionary with the various problem tag as the key and the number of times each key occured as the value. This module implements asynchronous requests communication to further enhance performance.
spojy.profile_info module¶
This module takes as input: i>username of the user, whom you want to gather information about. and returns: i> the list of problem codes of the solved problems by the user. ii> the list of problem codes of the unsolved problems by the user. iii> world_rank of the user i> total points of the user
spojy.single_problem_info module¶
This module returns an array of tags pertaining to a single problem.
Main function which takes the problem name as input and returns an array of tags pertaining to that problem.
utility function to fetch all the problem tags from the response page
spojy.solution_info module¶
‘ This module takes as input: i> a list of problem urls ii> username of the user that submitted the solutions to the problems in the above list iii> network proxy (optional) and returns a dictionary with the various programming languages as the key and the number of times they were used as the value. This module implements asynchronous requests communication to further enhance performance.
-
spojy.solution_info.
filter_func
(s)[source]¶ A filter function to remove some broken/wrong language names used.
-
spojy.solution_info.
get_langs
(problem_list, user, proxy='')[source]¶ Main function which takes the input as problem list and an optional proxy It also initialises proxy_used if the user provides any proxy


import com.sleepycat.db.*;public void put(DbLsn lsn, Dbt data, int flags) throws DbException;
The DbLog.put method appends records to the log. The DbLsn of the put record is returned in the lsn argument. The flags argument may be set to one of the following values:
The caller is responsible for providing any necessary structure to data. (For example, in a write-ahead logging protocol, the application must understand what part of data is an operation code, what part is redo information, and what part is undo information. In addition, most transaction managers will store in data the DbLsn of the previous log record for the same transaction, to support chaining back through the transaction's log records during undo.)
The DbLog.put method throws an exception that encapsulates an errno on failure.
The DbLog.put method may fail and throw an exception for any of the errors specified for the following Berkeley DB and C library functions: abort(3), close(3), dbenv->db_paniccall(3), fcntl(3), fflush(3), fprintf(3), free(3), fsync(3), getenv(3), getpid(3), getuid(3), isdigit(3), lseek(3), malloc(3), memcpy(3), memset(3), open(3), sigfillset(3), sigprocmask(3), snprintf(3), stat(3), strerror(3), strlen(3), time(3), unlink(3), vfprintf(3), vsnprintf(3), and write(3).
In addition, the DbLog.flush method may fail and throw an exception encapsulating errno for the following conditions:
The record to be logged is larger than the maximum log record.


SA's breaking news blog, The Pulse: 18yo man dies in crash on Stuart Hwy | 13yo arrested for starting fires in Adelaide's south
An 18-year-old Roxby Downs man has died in a crash on Stuart Hwy, bringing the state’s road toll to 99. Meanwhile, a 13-year-old has been arrested for lighting several fires in the southern suburbs. Follow all the morning's breaking news in The Pulse.
About 6:50pm on Thursday police arrived at the scene in Kootaberra - about 50km north of Port Augusta - where the car left the road.
The teen was the only occupant in the car.
The Stuart Hwy was closed in both directions for several hours last night but has since reopened.
At the same time last year there were 68 deaths on our roads.
Meanwhile a 13-year-old girl has been arrested for lighting several fires in the southern suburbs as South Australia faces one of its worst start to the bushfire season.
The fires were lit on Burgess Dr at Noarlunga Downs, Goldsmith Dr and Grey Box Ave at Noarlunga Centre just before 11pm last night.
A suspect was seen running from the scene before the police helicopter and police dog Axe searched the area.
Another blaze was reported on Oslo Cres, Hackham West an hour later.
A Hackham West teenager, 13, will face Christies Beach Magistrates Court charged with causing a bushfire today.
These fires burnt vegetation, no properties were damaged.


DO NOT READ THIS FILE ON GITHUB, GUIDES ARE PUBLISHED ON https://guides.rubyonrails.org.
Ruby on Rails
4.1 Release Notes
Highlights in Rails
4.1:
- Spring application preloader
config/secrets.yml
- Action Pack variants
- Action Mailer previews
These release notes cover only the major changes. To learn about various bug
fixes and changes, please refer to the change logs or check out the list of
commits in the main Rails
repository on GitHub.
Upgrading to Rails
4.1
If you're upgrading an existing application, it's a great idea to have good test
coverage before going in. You should also first upgrade to Rails
4.0 in case you
haven't and make sure your application still runs as expected before attempting
an update to Rails
4.1. A list of things to watch out for when upgrading is
available in the
Upgrading Ruby on Rails
guide.
Major Features
Spring Application Preloader
Spring is a Rails
application preloader. It speeds up development by keeping
your application running in the background so you don't need to boot it every
time you run a test, rake task or migration.
New Rails 4.1 applications will ship with "springified" binstubs. This means
that bin/rails
and bin/rake
will automatically take advantage of preloaded
spring environments.
Running rake tasks:
$ bin/rake test:models
Running a Rails command:
$ bin/rails console
Spring introspection:
$ bin/spring status
Spring is running:
1182 spring server | my_app | started 29 mins ago
3656 spring app | my_app | started 23 secs ago | test mode
3746 spring app | my_app | started 10 secs ago | development mode
Have a look at the [Spring README]) to see all available features.
See the Upgrading Ruby on Rails guide on how to migrate existing applications to use this feature.
config/secrets.yml
Rails 4.1 generates a new secrets.yml
file in the config
folder. By default,
this file contains the application's secret_key_base
, but it could also be
used to store other secrets such as access keys for external APIs.
The secrets added to this file are accessible via Rails.application.secrets
.
For example, with the following config/secrets.yml
:
development:
secret_key_base: 3b7cd727ee24e8444053437c36cc66c3
some_api_key: SOMEKEY
Rails.application.secrets.some_api_key
returns SOMEKEY
in the development
environment.
See the Upgrading Ruby on Rails guide on how to migrate existing applications to use this feature.
Action Pack Variants
We often want to render different HTML/JSON/XML templates for phones, tablets, and desktop browsers. Variants make it easy.
The request variant is a specialization of the request format, like :tablet
,
:phone
, or :desktop
.
You can set the variant in a before_action
:
request.variant = :tablet if request.user_agent =~ /iPad/
Respond to variants in the action just like you respond to formats:
respond_to do |format|
format.html do |html|
html.tablet # renders app/views/projects/show.html+tablet.erb
html.phone { extra_setup; render ... }
end
end
Provide separate templates for each format and variant:
app/views/projects/show.html.erb
app/views/projects/show.html+tablet.erb
app/views/projects/show.html+phone.erb
You can also simplify the variants definition using the inline syntax:
respond_to do |format|
format.js { render "trash" }
format.html.phone { redirect_to progress_path }
format.html.none { render "trash" }
end
Action Mailer Previews
Action Mailer previews provide a way to see how emails look by visiting a special URL that renders them.
You implement a preview class whose methods return the mail object you'd like to check:
class NotifierPreview < ActionMailer::Preview
def welcome
Notifier.welcome(User.first)
end
end
The preview is available in http://localhost:3000/rails/mailers/notifier/welcome, and a list of them in http://localhost:3000/rails/mailers.
By default, these preview classes live in test/mailers/previews
.
This can be configured using the preview_path
option.
See its documentation for a detailed write up.
Active Record enums
Declare an enum attribute where the values map to integers in the database, but can be queried by name.
class Conversation < ActiveRecord::Base
enum status: [ :active, :archived ]
end
conversation.archived!
conversation.active? # => false
conversation.status # => "archived"
Conversation.archived # => Relation for all archived Conversations
Conversation.statuses # => { "active" => 0, "archived" => 1 }
See its documentation for a detailed write up.
Message Verifiers
Message verifiers can be used to generate and verify signed messages. This can be useful to safely transport sensitive data like remember-me tokens and friends.
The method Rails.application.message_verifier
returns a new message verifier
that signs messages with a key derived from secret_key_base and the given
message verifier name:
signed_token = Rails.application. (:remember_me).generate(token)
Rails.application. (:remember_me).verify(signed_token) # => token
Rails.application. (:remember_me).verify(tampered_token)
# raises ActiveSupport::MessageVerifier::InvalidSignature
Module#concerning
A natural, low-ceremony way to separate responsibilities within a class:
class Todo < ActiveRecord::Base
concerning :EventTracking do
included do
has_many :events
end
def latest_event
# ...
end
private
def some_internal_method
# ...
end
end
end
This example is equivalent to defining a EventTracking
module inline,
extending it with ::ActiveSupport::Concern
, then mixing it in to the
Todo
class.
See its documentation for a detailed write up and the intended use cases.
CSRF protection from remote <script>
tags
Cross-site request forgery (CSRF) protection now covers GET requests with JavaScript responses, too. That prevents a third-party site from referencing your JavaScript URL and attempting to run it to extract sensitive data.
This means any of your tests that hit .js
URLs will now fail CSRF protection
unless they use xhr
. Upgrade your tests to be explicit about expecting
XmlHttpRequests. Instead of post :create, format: :js
, switch to the explicit
xhr :post, :create, format: :js
.
Railties
Please refer to the [Changelog]) for detailed changes.
Removals
Removed
update:application_controller
rake task.Removed deprecated
Rails.application.railties.engines
.Removed deprecated
threadsafe!
from Rails Config.Removed deprecated
ActiveRecord::Generators::ActiveModel#update_attributes
in favor ofActiveRecord::Generators::ActiveModel#update
.Removed deprecated
config.whiny_nils
option.Removed deprecated rake tasks for running tests:
rake test:uncommitted
andrake test:recent
.
Notable changes
The Spring application preloader is now installed by default for new applications. It uses the development group of the
Gemfile
, so will not be installed in production. (Pull Request)BACKTRACE
environment variable to show unfiltered backtraces for test failures. (Commit)Exposed
MiddlewareStack#unshift
to environment configuration. (Pull Request)Added
Application#message_verifier
method to return a message verifier. (Pull Request)The
test_help.rb
file which is required by the default generated test helper will automatically keep your test database up-to-date withdb/schema.rb
(ordb/structure.sql
). It raises an error if reloading the schema does not resolve all pending migrations. Opt out withconfig.active_record.maintain_test_schema = false
. (Pull Request)Introduce Rails.gem_version as a convenience method to return
Gem::Version.new(Rails.version)
, suggesting a more reliable way to perform version comparison. (Pull Request)
Action Pack
Please refer to the [Changelog]) for detailed changes.
Removals
Removed deprecated Rails application fallback for integration testing, set ActionDispatch.test_app instead.
Removed deprecated
page_cache_extension
config.Removed deprecated
ActionController::RecordIdentifier
, use::ActionView::RecordIdentifier
instead.Removed deprecated constants from Action Controller:
| Removed | Successor |
|---|---|
| ActionController::AbstractRequest | ActionDispatch::Request |
| ActionController::Request | ActionDispatch::Request |
| ActionController::AbstractResponse | ActionDispatch::Response |
| ActionController::Response | ActionDispatch::Response |
| ActionController::Routing | ActionDispatch::Routing |
| ActionController::Integration | ActionDispatch::Integration |
| ActionController::IntegrationTest | ActionDispatch::IntegrationTest |
Notable changes
protect_from_forgery
also prevents cross-origin<script>
tags. Update your tests to usexhr :get, :foo, format: :js
instead ofget :foo, format: :js
. (Pull Request)#url_for
takes a hash with options inside an array. (Pull Request)Added
session#fetch
method fetch behaves similarly to Hash#fetch, with the exception that the returned value is always saved into the session. (Pull Request)Separated Action View completely from Action Pack. (Pull Request)
Log which keys were affected by deep munge. (Pull Request)
New config option
config.action_dispatch.perform_deep_munge
to opt out of params "deep munging" that was used to address security vulnerability CVE-2013-0155. (Pull Request)New config option
config.action_dispatch.cookies_serializer
for specifying a serializer for the signed and encrypted cookie jars. (Pull Requests 1, 2 / More Details)Added
render :plain
,render :html
andrender :body
. (Pull Request / More Details)
Action Mailer
Please refer to the [Changelog]) for detailed changes.
Notable changes
Added mailer previews feature based on 37 Signals mail_view gem. (Commit)
Instrument the generation of Action Mailer messages. The time it takes to generate a message is written to the log. (Pull Request)
Active Record
Please refer to the [Changelog]) for detailed changes.
Removals
Removed deprecated nil-passing to the following
SchemaCache
methods:primary_keys
,tables
,columns
andcolumns_hash
.Removed deprecated block filter from ActiveRecord::Migrator#migrate.
Removed deprecated String constructor from
::ActiveRecord::Migrator
.Removed deprecated
scope
use without passing a callable object.Removed deprecated
transaction_joinable=
in favor ofbegin_transaction
with a:joinable
option.Removed deprecated
decrement_open_transactions
.Removed deprecated
increment_open_transactions
.Removed deprecated
PostgreSQLAdapter#outside_transaction?
method. You can use#transaction_open?
instead.Removed deprecated
ActiveRecord::Fixtures.find_table_name
in favor ofActiveRecord::Fixtures.default_fixture_model_name
.Removed deprecated
columns_for_remove
fromSchemaStatements
.Removed deprecated
SchemaStatements#distinct
.Moved deprecated
ActiveRecord::TestCase
into the Rails test suite. The class is no longer public and is only used for internal Rails tests.Removed support for deprecated option
:restrict
for:dependent
in associations.Removed support for deprecated
:delete_sql
,:insert_sql
,:finder_sql
and:counter_sql
options in associations.Removed deprecated method
type_cast_code
from Column.Removed deprecated
ActiveRecord::Base#connection
method. Make sure to access it via the class.Removed deprecation warning for
auto_explain_threshold_in_seconds
.Removed deprecated
:distinct
option fromRelation#count
.Removed deprecated methods
partial_updates
,partial_updates?
andpartial_updates=
.Removed deprecated method
scoped
.Removed deprecated method
default_scopes?
.Remove implicit join references that were deprecated in 4.0.
Removed
activerecord-deprecated_finders
as a dependency. Please see the gem README for more info.Removed usage of
implicit_readonly
. Please usereadonly
method explicitly to mark records asreadonly
. (Pull Request)
Deprecations
Deprecated
quoted_locking_column
method, which isn't used anywhere.Deprecated
ConnectionAdapters::SchemaStatements#distinct
, as it is no longer used by internals. (Pull Request)Deprecated
rake db:test:*
tasks as the test database is now automatically maintained. See railties release notes. (Pull Request)Deprecate unused
ActiveRecord::Base.symbolized_base_class
andActiveRecord::Base.symbolized_sti_name
without replacement. Commit
Notable changes
- Default scopes are no longer overridden by chained conditions.
Before this change when you defined a default_scope
in a model
it was overridden by chained conditions in the same field. Now it
is merged like any other scope. More Details.
Added
ActiveRecord::Base.to_param
for convenient "pretty" URLs derived from a model's attribute or method. (Pull Request)Added
ActiveRecord::Base.no_touching
, which allows ignoring touch on models. (Pull Request)Unify boolean type casting for
MysqlAdapter
andMysql2Adapter
.type_cast
will return1
fortrue
and0
forfalse
. (Pull Request).unscope
now removes conditions specified indefault_scope
. (Commit)Added ActiveRecord::QueryMethods#rewhere which will overwrite an existing, named where condition. (Commit)
Extended
ActiveRecord::Base#cache_key
to take an optional list of timestamp attributes of which the highest will be used. (Commit)Added
ActiveRecord::Base#enum
for declaring enum attributes where the values map to integers in the database, but can be queried by name. (Commit)Type cast json values on write, so that the value is consistent with reading from the database. (Pull Request)
Type cast hstore values on write, so that the value is consistent with reading from the database. (Commit)
Make
next_migration_number
accessible for third party generators. (Pull Request)Calling
update_attributes
will now throw anArgumentError
whenever it gets anil
argument. More specifically, it will throw an error if the argument that it gets passed does not respond to tostringify_keys
. (Pull Request)CollectionAssociation#first
/#last
(e.g.has_many
) use aLIMIT
ed query to fetch results rather than loading the entire collection. (Pull Request)inspect
on Active Record model classes does not initiate a new connection. This means that callinginspect
, when the database is missing, will no longer raise an exception. (Pull Request)Removed column restrictions for
count
, let the database raise if the SQL is invalid. (Pull Request)Rails now automatically detects inverse associations. If you do not set the
:inverse_of
option on the association, then Active Record will guess the inverse association based on heuristics. (Pull Request)Handle aliased attributes in ActiveRecord::Relation. When using symbol keys, ActiveRecord will now translate aliased attribute names to the actual column name used in the database. (Pull Request)
The ERB in fixture files is no longer evaluated in the context of the main object. Helper methods used by multiple fixtures should be defined on modules included in ActiveRecord::FixtureSet.context_class. (Pull Request)
Don't create or drop the test database if RAILS_ENV is specified explicitly. (Pull Request)
Relation
no longer has mutator methods like#map!
and#delete_if
. Convert to anArray
by calling#to_a
before using these methods. (Pull Request)find_in_batches
,find_each
,Result#each
and Enumerable#index_by now return anEnumerator
that can calculate its size. (Pull Request)scope
,enum
and Associations now raise on "dangerous" name conflicts.  (Pull Request)Make
touch
fire theafter_commit
andafter_rollback
callbacks. (Pull Request)Enable partial indexes for
sqlite >= 3.8.0
. (Pull Request)Make
change_column_null
revertible. (Commit)Added a flag to disable schema dump after migration. This is set to
false
by default in the production environment for new applications. (Pull Request)
Active Model
Please refer to the [Changelog]) for detailed changes.
Deprecations
- Deprecate
Validator#setup
. This should be done manually now in the validator's constructor. (Commit)
Notable changes
Added new API methods
reset_changes
andchanges_applied
to::ActiveModel::Dirty
that control changes state.Ability to specify multiple contexts when defining a validation. (Pull Request)
attribute_changed?
now accepts a hash to check if the attribute was changed:from
and/or:to
a given value. (Pull Request)
Active Support
Please refer to the [Changelog]) for detailed changes.
Removals
Removed
MultiJSON
dependency. As a result, ActiveSupport::JSON.decode no longer accepts an options hash forMultiJSON
. (Pull Request / More Details)Removed support for the
encode_json
hook used for encoding custom objects into JSON. This feature has been extracted into the activesupport-json_encoder gem. (Related Pull Request / More Details)Removed deprecated
ActiveSupport::JSON::Variable
with no replacement.Removed deprecated
String#encoding_aware?
core extensions (core_ext/string/encoding
).Removed deprecated
Module#local_constant_names
in favor ofModule#local_constants
.Removed deprecated
DateTime.local_offset
in favor of DateTime.civil_from_format.Removed deprecated
Logger
core extensions (core_ext/logger.rb
).Removed deprecated
Time#time_with_datetime_fallback
,Time#utc_time
andTime#local_time
in favor ofTime#utc
andTime#local
.Removed deprecated
Hash#diff
with no replacement.Removed deprecated
Date#to_time_in_current_zone
in favor ofDate#in_time_zone
.Removed deprecated
Proc#bind
with no replacement.Removed deprecated
Array#uniq_by
andArray#uniq_by!
, use nativeArray#uniq
andArray#uniq!
instead.Removed deprecated
ActiveSupport::BasicObject
, use::ActiveSupport::ProxyObject
instead.Removed deprecated
BufferedLogger
, use::ActiveSupport::Logger
instead.Removed deprecated
assert_present
andassert_blank
methods, useassert object.blank?
andassert object.present?
instead.Remove deprecated
#filter
method for filter objects, use the corresponding method instead (e.g.#before
for a before filter).Removed 'cow' => 'kine' irregular inflection from default inflections. (Commit)
Deprecations
Deprecated
Numeric#{ago,until,since,from_now
}, the user is expected to explicitly convert the value into an AS::Duration, i.e.5.ago
=>5.seconds.ago
(Pull Request)Deprecated the require path
active_support/core_ext/object/to_json
. Requireactive_support/core_ext/object/json
instead. (Pull Request)Deprecated
ActiveSupport::JSON::Encoding::CircularReferenceError
. This feature has been extracted into the activesupport-json_encoder gem. (Pull Request / More Details)Deprecated
ActiveSupport.encode_big_decimal_as_string
option. This feature has been extracted into the activesupport-json_encoder gem. (Pull Request / More Details)Deprecate custom
BigDecimal
serialization. (Pull Request)
Notable changes
ActiveSupport
's JSON encoder has been rewritten to take advantage of the JSON gem rather than doing custom encoding in pure-Ruby. (Pull Request / More Details)Improved compatibility with the JSON gem. (Pull Request / More Details)
Added ActiveSupport::Testing::TimeHelpers#travel and
#travel_to
. These methods change current time to the given time or duration by stubbingTime.now
andDate.today
.Added ActiveSupport::Testing::TimeHelpers#travel_back. This method returns the current time to the original state, by removing the stubs added by
travel
andtravel_to
. (Pull Request)Added Numeric#in_milliseconds, like
1.hour.in_milliseconds
, so we can feed them to JavaScript functions likegetTime()
. (Commit)Added Date#middle_of_day, DateTime#middle_of_day and Time#middle_of_day methods. Also added
midday
,noon
,at_midday
,at_noon
andat_middle_of_day
as aliases. (Pull Request)Added
Date#all_week/month/quarter/year
for generating date ranges. (Pull Request)Added
Time.zone.yesterday
andTime.zone.tomorrow
. (Pull Request)Added
String#remove(pattern)
as a short-hand for the common pattern ofString#gsub(pattern,'')
. (Commit)Added
Hash#compact
andHash#compact!
for removing items with nil value from hash. (Pull Request)blank?
andpresent?
commit to return singletons. (Commit)Default the new
I18n.enforce_available_locales
config totrue
, meaningI18n
will make sure that all locales passed to it must be declared in theavailable_locales
list. (Pull Request)Introduce
Module#concerning
: a natural, low-ceremony way to separate responsibilities within a class. (Commit)Added Object#presence_in to simplify adding values to a permitted list. (Commit)
Credits
See the full list of contributors to Rails for the many people who spent many hours making Rails, the stable and robust framework it is. Kudos to all of them.


# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# 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.
"""
Helper classes and functions for PyTorch detection data loaders
"""
import random
from typing import Any, Callable, List, Tuple
import torch
from PIL import Image
from torch import Tensor
try:
from torchvision.transforms import functional as torchvision_functional
torchvision_import_error = None
except Exception as torchvision_error:
torchvision_functional = None
torchvision_import_error = torchvision_error
from sparseml.pytorch.utils import ssd_random_crop
__all__ = [
"AnnotatedImageTransforms",
"ssd_random_crop_image_and_annotations",
"random_horizontal_flip_image_and_annotations",
"yolo_collate_fn",
"ssd_collate_fn",
"bounding_box_and_labels_to_yolo_fmt",
]
[docs]def ssd_random_crop_image_and_annotations(
image: Image.Image, annotations: Tuple[Tensor, Tensor]
) -> Tuple[Image.Image, Tuple[Tensor, Tensor]]:
"""
Wraps sparseml.pytorch.utils.ssd_random_crop to work in the
AnnotatedImageTransforms pipeline.
:param image: the image to crop
:param annotations: a tuple of bounding boxes and their labels for this image
:return: A tuple of the cropped image and annotations
"""
boxes, labels = annotations
if labels.numel() > 0:
image, boxes, labels = ssd_random_crop(image, boxes, labels)
return image, (boxes, labels)
[docs]def random_horizontal_flip_image_and_annotations(
image: Image.Image, annotations: Tuple[Tensor, Tensor], p: float = 0.5
) -> Tuple[Image.Image, Tuple[Tensor, Tensor]]:
"""
Performs a horizontal flip on given image and bounding boxes with probability p.
:param image: the image to randomly flip
:param annotations: a tuple of bounding boxes and their labels for this image
:param p: the probability to flip with. Default is 0.5
:return: A tuple of the randomly flipped image and annotations
"""
if torchvision_import_error is not None:
raise torchvision_import_error
boxes, labels = annotations
if random.random() < p:
if labels.numel() > 0:
boxes[:, [0, 2]] = 1.0 - boxes[:, [2, 0]] # flip width dimensions
image = torchvision_functional.hflip(image)
return image, (boxes, labels)
[docs]def yolo_collate_fn(
batch: List[Any],
) -> Tuple[Tensor, Tuple[Tensor, Tensor, List[Tuple[Tensor, Tensor]]]]:
"""
Collate function to be used for creating a DataLoader with values for Yolo model
input.
:param batch: a batch of data points and annotations transformed by
bounding_box_and_labels_to_yolo_fmt
:return: the batch stacked as tensors for all values except for the
original annotations
"""
images = []
targets = []
annotations = []
for idx, (image, (target, annotation)) in enumerate(batch):
images.append(image.unsqueeze(0))
img_label = torch.ones(target.size(0), 1) * idx
targets.append(torch.cat((img_label, target), 1))
annotations.append(annotation)
images = torch.cat(images, 0)
targets = torch.cat(targets, 0)
return images, (targets, annotations)
[docs]def ssd_collate_fn(
batch: List[Any],
) -> Tuple[Tensor, Tuple[Tensor, Tensor, List[Tuple[Tensor, Tensor]]]]:
"""
Collate function to be used for creating a DataLoader with values transformed by
encode_annotation_bounding_boxes.
:param batch: a batch of data points transformed by encode_annotation_bounding_boxes
:return: the batch stacked as tensors for all values except for the
original annotations
"""
images = []
enc_boxes = []
enc_labels = []
annotations = []
for image, (enc_box, enc_label, annotation) in batch:
images.append(image.unsqueeze(0))
enc_boxes.append(enc_box.unsqueeze(0))
enc_labels.append(enc_label.unsqueeze(0))
annotations.append(annotation)
images = torch.cat(images, 0)
enc_boxes = torch.cat(enc_boxes, 0)
enc_labels = torch.cat(enc_labels, 0)
return images, (enc_boxes, enc_labels, annotations)
[docs]def bounding_box_and_labels_to_yolo_fmt(annotations):
boxes, labels = annotations
if boxes.numel() == 0:
return torch.zeros(0, 5)
cx = (boxes[:, 0] + boxes[:, 2]) / 2
cy = (boxes[:, 1] + boxes[:, 3]) / 2
w = boxes[:, 2] - boxes[:, 0]
h = boxes[:, 3] - boxes[:, 1]
return torch.stack((labels, cx, cy, w, h)).T


"RUE "a garden herb (Ruta graveolens) which the Pharisees were careful to tithe (Luke 11:42), neglecting weightier matters. It is omitted in the parallel passage of Matthew 23:23. There are several species growing wild in Palestine. It is used for medicinal and culinary purposes. It has a powerful scent, and is a stimulant. (See MINT.)
"RUE "a garden herb (Ruta graveolens) which the Pharisees were careful to tithe (Luke 11:42), neglecting weightier matters. It is omitted in the parallel passage of Matthew 23:23. There are several species growing wild in Palestine. It is used for medicinal and culinary purposes. It has a powerful scent, and is a stimulant. (See MINT.)


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Status
public enum Status : String, Codable
Undocumented
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Undocumented
Declaration
Swift
case rumored = "Rumored"
-
Undocumented
Declaration
Swift
case planned = "Planned"
-
Undocumented
Declaration
Swift
case inProduction = "In Production"
-
Undocumented
Declaration
Swift
case postProduction = "Post Production"
-
Undocumented
Declaration
Swift
case released = "Released"
-
Undocumented
Declaration
Swift
case canceled = "Canceled"


‘It has been a challenging year for sheep farmers’ – Teagasc’s John Kelly
by Michael GearyTeagasc held its beef and sheep seminar titled ‘Practical Advice for a Challenging Time’ at the Tullamore Court Hotel, Co. Offaly.
The event, which took place on Wednesday, November 13, gathered a good crowd despite poor weather conditions.
Speaking at the seminar, Teagasc sheep specialist John Kelly outlined the challenges that sheep farmers have faced in 2019 and what farmers can do to improve the efficiency of their flock over the winter period.
“The events that have unfolded this year in the sheep sector were largely out of the control of farmers.
The huge backlog of lambs caused by the protests and the poor weather conditions have made it difficult for farmers to adhere to the Clean Livestock Policy (CLP), which has resulted in huge losses for sheep farmers.
“However, over the coming months, farmers’ focus should be on getting rid of their remaining store lambs and prioritising the breeding ewe.”
John’s presentation focused on three topics.
These included:
- What do with store lambs;
- Maximising lamb value;
- How to ensure you have grass next spring.
He also offered some management tips to farmers over the winter period to maximise efficiency and to reduce production costs.
“Keeping lambs clean indoors should be a priority and offering high-quality feed is needed to maximise production.
Regular bedding and avoiding overstocking of lambs in pens is required to reduce the risk of disease.
“Furthermore, offering good-quality silage of at least 70% dry matter digestibility (DMD) is important, as lambs fed poor-quality silage will require extra concentrates to bring them to the required target weight.
“To adhere to the CLP, dagging dirty lambs before housing should be a priority,” John added.
Maximising lamb value
John offered some advice to farmers regarding maximising the value of their store lambs.
“Farmers should hold out and avoid killing underweight lambs; a liveweight of 48kg at slaughter offers farmers the best chance of getting a decent price for their lambs.
Also, it is important farmers speak to the factory about the ‘spec’ and the penalty policy they have in place to ensure that they are rewarded with a good price.
“If it is a case that farmers have light lambs and are not in a position to finish them, then selling them in the mart is the best option considering how good the store trade has been of late,” John added.
Priority
Finally, John spoke about the importance of building grass covers over the winter period and that farmers should prioritise the breeding ewe over the next few months.
“Building grass covers for next spring starts now. There is no point in re-grazing paddocks as there won’t be sufficient grass covers next spring for the ewe to carry her lambs and for her to produce enough milk.
“It takes up to 120 days to build up sufficient grass covers, so I would advise farmers to start closing off paddocks now,” John concluded.


The most interesting method is the pomodoro technique as I underestimated it. Instantly thought it would not work as 25 minutes did not seem long enough but it is very effective. Therefore I indend to continue experimenting with this method.
The other article I found interesting was How To Create A Habit. Tracking focus would be interesting rather than making a To Do list.


By using this free service, you agree to upload research data to the webserver. We won't use this data for any other means than rendering the results report. We don't collect any other data, nor store cookies ourselves. We do user Google Analytics services to obtain anonymous reports on the usage of this online tool, which can result in useful data for to obtain public funding for our research group, InsiliChem.
All files are stored for one hour maximum. Then, they are permanently removed from the webserver. Take in mind that the automatically generated random URL for your upload is public, so you can share it with more people during that hour. While a malicious user could try to brute-force access your files this way, its success is non-feasible in such a small amount of time. That said, if you are seriously concerned about the privacy of your data, consider downloading the source code (available here) so you can run this same service locally in your own computer.


Jamie is a psychology PhD student based at the University of Sussex.
The survey-multi-select plugin displays a set of questions with multiple select response fields. The subject could select multiple answers.
Parameters with a default value of undefined must be specified. Other parameters can be left unspecified if the default value is acceptable.
| Parameter | Type | Default Value | Description |
|---|---|---|---|
| questions | array | undefined | An array of objects, each object represents a question that appears on the screen. Each object contains a prompt, options and horizontal parameter that will be applied to the question. See examples below for further clarification.prompt : Type string, default value of undefined. The string is the prompt/question that will be associated with a group of options (check boxes). All questions will get presented on the same page (trial).options : Type array, default value of undefined. The array contains a set of options to display for an individual question.horizontal : Type boolean, default value of false. If true, the questions are centered and options are displayed horizontally. |
| required | boolean | true | If true, then at least one option must be selected. |
| preamble | string | empty string | HTML formatted string to display at the top of the page above all the questions. |
| button_label | string | ‘Continue’ | Label of the button. |
In addition to the default data collected by all plugins, this plugin collects the following data for each trial.
| Name | Type | Value |
|---|---|---|
| responses | JSON string | An array containing all selected choices in JSON format for each question. The encoded object will have a separate variable for the response to each question, with the first question in the trial being recorded in Q0 , the second in Q1 , and so on. The responses are recorded as the name of the option label. |
| rt | numeric | The response time in milliseconds for the subject to make a response. The time is measured from when the questions first appear on the screen until the subject’s response. |
// definiting two different response scales that can be used.
var page_1_options = ["Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree"];
var page_2_options = ["Strongly Disagree", "Disagree", "Somewhat Disagree", "Neural", "Somewhat Agree", "Agree", "Strongly Agree"];
var multi_select_block = {
type: 'survey-multi-select',
questions: [{prompt: "I like vegetables", options: page_1_options}, {prompt: "I like fruit", options: page_2_options}]
};
var multi_select_block_horizontal = {
type: 'survey-multi-select',
questions: [{prompt: "I like vegetables", options: page_1_options, horizontal: true}, {prompt: "I like fruit", options: page_2_options, horiztonal: false}]
};
jsPsych.init({
timeline: [multi_select_block, multi_select_block_horizontal],
on_finish: function() {
jsPsych.data.displayData();
}
});


Select a series from below to generate a random episode from.
Peep Show (2005-2015)
Rick and Morty (2013-)
South Park (1997-)


{% extends "base.html" %} {% block content %}
Services for the overall reports is limited for now because of the lack of resources, so the posting will be from the Administrator side,
Hopefully we will be coming back to serve for the better where you can make your own content for the viewer at any part.
There will be proper Terms of Use to get the user use it efficiently at any cost.
Our services will always be available for your requirements at the posts and any suggesations are welcomed at any time.
We just hope to get back to you all with our services enabled for the end user to use it for their own...
Till then, Sit Tight.