#include <control_flow_ops.h>
Forwards the value of an available tensor from inputs
to output
.
Merge
waits for at least one of the tensors in inputs
to become available. It is usually combined with Switch
to implement branching.
Merge
forwards the first tensor to become available to output
, and sets value_index
to its index in inputs
.
Arguments:
Returns:
Output
output: Will be set to the available input tensor.Output
value_index: The index of the chosen input tensor in inputs
.
Constructors and Destructors |
|
|---|---|
Merge(const ::tensorflow::Scope & scope, ::tensorflow::InputList inputs)
|
Public attributes |
|
|---|---|
operation
|
|
output
|
|
value_index
|
Operation operation
::tensorflow::Output output
::tensorflow::Output value_index
Merge( const ::tensorflow::Scope & scope, ::tensorflow::InputList inputs )


NumPy Team Gallery
We are an international team on a mission to support scientific and research communities worldwide by building quality, open-source software. Join us!
Maintainers
Allan Haldane
Marten van Kerkwijk
Stephan Hoyer
Nathaniel J. Smith
Robert Kern
Eric Wieser
Stefan van der Walt
Pauli Virtanen
Ralf Gommers
Charles Harris
Sebastian Berg
Julian Taylor
Kevin Sheppard
Matthew Brett
Warren Weckesser
Matti Picus
Tyler Reddy
Web Team
Joe LaChance
InessaPawson
MarsBarLee
shalz
Ralf Gommers
Documentation Team
Emeritus maintainers
Travis E. Oliphant
David Cournapeau
Mark Wiebe
Pearu Peterson
Jarrod Millman
Jaime
Ondřej Čertík
Governance
For the list of people on the Steering Council, please see here


Data
15,000 Individuals, 475000 Records, 758 Variables
Predictive Model
Validated and Open Source
Public API
Publically Accessible and Free to Use
Data Driven Differential Diagnosis
A Massive Challenge
Dementia is a chronic, progressive, and debilitating disease. Nearly 15% of individuals older than 71 suffer from some form of dementia. Despite its severity and widespread prevalence, little progress has been made in its prevention or treatment. Research has helped us better understand the mechanics of the disease, but clinical trials have shown limited success.
Difficult Diagnoses
Because dementia is an assortment of distinct processes with similar symptoms, an individual diagnosed with dementia could be suffering from any of multiple diseases, and could be in any stage of their particular disease. This makes it difficult to determine the exact dementia subtype. The challenge of diagnosis contributes to the challenge of effective treatments; the correct medicine for one disease and stage of illness could be different from the correct medicine for another.
Challenging Long-Term Care
While cancer and heart disease appropriately receive a great deal of attention, the annual cost of treating dementia exceeds both these diseases. Dementia care cost the United States $259 billion annually. The high burden comes from both the prevalence of the disease and the high needs of these patients. The burden often falls on family members who are tasked with taking care of an adult loved one who cannot take care of basic needs for themselves. By 2040, as the population ages and the majority of the baby boomers enter the high risk period for dementia, these costs could double. We can already see rising rates of dementia even while other major diseases fall. Barring a breakthrough, the healthcare system is ill prepared to deal with the increased cost of caring for these patients.
Using Data to Deliver Better Outcomes
The National Alzheimer's Coordinating Center (NACC) has developed a standardized survey that is administered to patients entering one of their centers by specially trained staff members. The survey elciits information directly from the patient, from staff members with the opportunity to test the patient, from family memebers who live with the patient, and from a physician who performs a standardized history and physical exam. In total, over 750 different measures are collected for a given patient. However, diagnosis of the disease still requires neurologist specialists who must weigh the evidence for and against a given dementia subtype to provide the final diagnosis.
Identifying Early and Accurately
We used the NAAC dataset to build a machine learning classification model to help primary care physicians diagnose their patients using standardized assessments. To prove this use case, we focused on two more prevalent subtypes of dementia: Alzheimer's Disease and Behavioral Varient Frontotemporal Dementia. We created an open API from which healthcare professionals can upload a standardized patient survey and receive the predicted classification.


{% load crispy_forms_tags %} {% load dict %}
Enter lists of HGNC symbols, Entrez IDs, or ENSEMBL gene IDs separated by spaces or line break. If any white-list gene is given, only variants in a white-listed gene are shown. Variants in black-listed genes are excluded.
Enter list of regions to restrict to. If empty then variants will be returned genome-wide.


{{ message }}
Unverified Email
Hi, {{ current_user.first_name }} {{ current_user.last_name }}, you have not verified your email hence you can't perform this action. Verify your email and try again. Check your inbox, you should have received an email with a confirmation link.
Didn't receive an email?Resend


The implementation of the development strategy of China's opening to the west, the Chinese to set up Silk Road Economic Belt cultural exchange center trade center, transportation hub, must be innovative ideas, to create a full range of opening pattern. The next step, China further increased strong export-oriented economic development consciousness, changes in trade and economic relations between the main resources for the structure of, the Internet communication construction as the foundation, and gradually build open economic development zone, the formation of manufacturing industry, ser -vice industry, financial industry and the extensive integration of economic belt. For the sustainable development of economic and trade cooperation, provides language, translation, infor -mation assurance and professional training, supported by Internet supported intellectual. To promote interop -erability, improve transportation infrastructure, accelerate the "Internet plus", upgrade information communications...
China's "13th Five-Year" plan outline To put forward the implementation of the national big data strategy, the big Data as a basic strategic resources, the full implementation of the promotion Big data development action to accelerate the sharing of data resources open And the development and application of power industry transformation and upgrading and social governance innovation. The autumn of 2013, President Xi Jinping proposed "Belt and Road Initiative together" To make recommendations, namely, the construction of "Silk Road Economic Belt" and twenty -first Century "sea silk" Silk road". The focus of cooperation is mainly embodied in five aspects: policy communication and design Application of China Unicom, trade flows, financing, and the people of the same mind; and in specific cooperation Mainly in the ground, silk road, the Sea Silk Road, the Silk Road in the sky, energy silk Road, electricity, silk road, information, silk road six aspects of cooper -ation. Big data The technology...
The Hadoop project was born in 2005. Hadoop was originally just a Yahoo Corp solution The web search problem was a pro -ject that was later due to its technology The efficiency was cited by Apache Software Foundation Open and become open source applications. After a short period of ten years of development, the development of big data in China has The development has been rapid. In 2015, the state formally issued the "promotion of big data" "Outline of development action", "Outline" clearly, to promote the development and application of big data, In the next 5 to 10 years, we will create a new model of social governance featuring precise governance and multi cooperation, Establish a stable, safe and efficient economic operation of the new mechanism to build artificial This, benefit the whole people's livelihood services new system, open public entrepreneurship, the people Innovative innovations drive new patterns and foster high-end, intelligent and emer -ging prosperity...


Start with the really nice desktop client (windows or mac)
Create your own private local repositories to get used to the process
Git 101
Caveat- I only have 20 minutes so don't expect this to be exhaustive!
The beginning
Convert your folder into a repository
Either CLONE (eg copy) an existing repository
... or INIT (eg create from scratch) a new repository
Tracking Files
Git will only track files that you ask it to
ADD the files you want to track (and RM --cached the ones you don't)
.GITIGNORE compiles a list of files or file types you never want to track
Making changes
Git keeps a history of all your changes
STATUS tells you which files will be changed
COMMIT the change and explain what you've done
LOG tells you the history of the changes to the repository
Collaboration
So far we've just looked at a local repository with no other contributors, but when collaborating, or working with a remote repository such as GitHub things unfortunately get more complicated...
Working with remote or collaborative repositories
A REMOTE is a link back to the original repository (that you cloned from)
You can FETCH or PULL changes from the remote then MERGE them with your changes
You can PUSH your changes to a remote repository
Forking
A FORK is a GitHub command for making a copy of an existing GitHub repository under your own account
You can then CLONE your copy, and edit it locally
You can to keep tracking the master repository, by adding it as a second remote
You can PULL from either your fork, or the master, by referring to the name or URL of the remote
You can only PUSH to your fork on GitHub
If you have changes you wish to commit back to the master repository, you can issue a PULL REQUEST
Branching
A branch is a way of differentiating between different "versions" of code such as stable versions versus experimental
You can CHECKOUT -b a new branch and then work on it separately
From then on in, all commits work only on the specific branch until you explicitly MERGE two branches
You can compare branches (and commits) with DIFF
As a new user you'll probably only use branches by mistake, when your changes have created one on GitHub
Undoing changes
Git is a version-control system so of course you can roll-back commits and fix mistakes
You can AMEND your last commit to add some new files to it
You can RESET HEAD a file from staging (the HEAD is a pointer to the latest branch that you're on)
You can REVERT to either the last commit or any commit in the branch history
Git Lesson Over...
Now the fun non-coding stuff
Finally some geospatial stuff!
Increasingly GIS packages are using GitHub for their source code, eg QGIS
Geopython is a useful collection of python libraries for geospatial tasks
Which means you can upload any valid .json file (in EPSG 4326) and it will render automatically on an interactive openstreetmap map courtesy of leaflet.js
You can implement versioning of your geospatial data using git*


Guides
Source Guides are collections of tutorials, project discussions, and advice on topics of interest to developers and interactive designers in newsrooms.
{#}
Featured Guides
{#}-
{% for guide in object_list %}
-
{% if guide.image %}
{% else %}
{% endif %}
{{ guide.title }}
{% endfor %}


Outreachy - Round 10
Typesafe and Play Framework are proud to be participating in Outreachy, a program to help groups that are underrepresented in free and open source software get involved. For detailed information about Outreachy, including how to apply, see the main program page.
This is the landing page for Outreachy Play Framework projects.
Applications for Round 10 Play Framework projects close on the 7th of April.
Getting started
The best way to get started is to read Play's Get Involved page. From there you can find information about the project issue tracker and mailing lists, links to instructions for building Play from source.
The best place to talk about Play development is on the Play development mailing list. Discussion about Outreachy Play projects itself can be had in the Play Outreachy Gitter channel, where Play Outreachy mentors can be found (though note that the Play team is very geographically distributed, including developers in Australia, New Zealand and Europe, so don't expect to get immediate responses from any particular person.
Projects
Typesafe is sponsoring one intern for Play Framework in Outreachy in Round 10.
Dream REST development in Play
Mentor: James Roper
While Play makes it very simple to write REST APIs, there are a number of features and improvements that can be added to Play so that out of the box, REST API development in Play Framework is a dream.
This project consists of a number of small development tasks, as well as some not so small development tasks, plus tutorial style documentation to make the developer experience for writing REST APIs in Play even smoother than it already is.
The project will start with the small tasks, allowing the intern to get comfortable working in the Play codebase, and work up to bigger tasks. The exact scope depends on how much the intern is able to get done and what they choose to prioritise, but even with the smaller tasks, the intern will have made a valuable contribution to Play Framework.
Tasks include:
- Support for HATEOAS links in Play's JSON API
- Support for RFC 6570 URI templates in Play's JSON API
- RFC 6570 integration in Play's reverse router
- Support for generating/parsing RFC 5988 link headers
- Tutorial style documentation on writing a REST API using Play with Java or Scala
- CRUD routing capabilities to minimise necessary REST API boilerplate
- Opinionated action builders that assume JSON bodies and have built in support for paging
- Plus a number of refactoring/code improvement tasks to facilitate the above tasks along the way


Useful functions
Following are the list of useful functions to build and run the kernel
Devices: Get list of all availabe devices in your PC/Laptop.
UseDevice: Select a device to compile and run the kernel. The function has one parameter: deviceId
Compile: Function which takes class as input. Compile method will find all the kernel methods having attribute "OpenCLKernel" and convert them to C99 format code.
Kernels: Property to list all the compiled kernels. Usuful method to see all the names while invoking.
Execute: Execute the kernel function. Takes two parameters:
- functionName: Name of the kernel method
- args: List of arguments array or scalar values.
GetExecuter: Get the executer for the compiler which can seemlesly invoke the kernel methods. Internally it calls the compiler Execute function.
Save: Save the compiler in form of binary for reusablibity.
Load: Load the saved bin compiler file. Avoids recompilation of kernel.


As far as the transaction fee in a transaction (aka network fee that goes to miners on chain) which side pays this, the maker, taker or both?
>
Am I correct in assuming it is both, of which the fee is taken from each leg of the transaction's journey?
correct
i.e. tx fee #1 from taker sending dex fee to originate trade, tx fee #2 from taker sending to hold address, tx fee #3 sending from hold address to maker, tx fee #4 from maker to holding address and finally tx fee #5 from holding address to taker.
it should be tx fee #1 from taker sending dex fee to originate trade (chain A), tx fee #2 from maker sending to intermediate address(maker payment, chain B), tx fee #3 from taker sending to intermediate address(taker payment, chain A) , tx fee #4 maker claim (chain A), tx fee #5 taker claim(chain B)


One_Punch_Man
One-Punch Man is a super hero who has trained so hard that his hair has fallen out, and who can overcome any enemy with one punch. However, because he is so strong, he has become bored and frustrated with winning all his battles so easily.


NEET case: HC grants advance bail to student
by Staff ReporterMADURAI
The Madurai Bench of the Madras High Court on Friday dismissed the anticipatory bail plea of a parent in the NEET impersonation case. However, his son was granted anticipatory bail with certain conditions.
Justice G.R. Swaminathan observed that the parents had to be blamed for trying to impose their dreams on their children. The court directed the parent to submit an undertaking that he would surrender before the CB-CID and cooperate with the inquiry in the case.
The court also directed him to submit an undertaking that he would not apply for bail for 60 days. Pursuant to the orders of the court, the parent had appeared before the CB-CID police for inquiry. However, the investigating agency submitted in the court that the information provided by him was not sufficient.
The court allowed the businessman to surrender before the investigating agency on Tuesday, after he sought time to surrender.


(plus one one)
working...
Use Ctrl-E to execute. Use Ctrl-, to open settings. Use Ctrl-D to multi-select. Use F1 to activate the command palette.


{% if include.alt_title %}{{include.alt_body}}{% else %}Get involved in your district{% endif %}
We respect your privacy. Your phone number will not be shared with any third party. Note: If submitting your cell number, you are certifying that this cell phone number belongs to you and granting Mayday PAC and its contracted phone vendors permission to call you at this cell phone number during legal calling hours. Message & data rates may apply.


This is my repository for Data Structures using Python. This repository mainly aims at implementation of various Data Structures using Python.
Omkar Pathak,
Pune, Maharashtra, India.
If you have found my softwares to be of any use to you, do consider helping me pay my internet bills. This would encourage me to create many such softwares :)
| PayPal | |
|---|---|
| ₹ (INR) |


West Indian Cricketer Chadwick Walton Bowls Over Fans With His ‘Punjabi Talk’ With Yuvraj Singh
New Delhi (Sputnik): Veteran Indian cricketer Yuvraj Singh, who is known for his quick-wittedness and sense of humour, has take to Twitter to yet again tickle the funny bones of his fans.
Former cricketer Yuvraj Singh recently became a tutor for West Indies player Chadwick Walton, offering him a few lessons about how to use a few Hindi and Punjabi phrases.
In a hilarious video of their conversation, Walton says in broken Punjabi and with a straight face, “Ki Karraya tu? Chal yaar, chaliye (What are you doing? Move buddy, let’s go)".
Yuvraj broke into laughter as Walton manages to copy him well and responded in Punjabi, “You move first, I will come later”.
The hilarious video clip has gone viral on social media, garnering over 39,000 views since posted.
The video also evoked several funny reactions, while many responded with emotional messages for Yuvraj over his retirement from international cricket this year.
Even though India's middle-over batting linchpin has called it quits from the national team, Yuvraj is still active on the pitch and takes part in different tournaments.
He is currently playing in the Abu Dhabi T10 league for Maratha Arabians. The T10 league is a sports entertainment format of 10-over cricket championship approved by the Emirates Cricket Board.


This project involved creating web-based enterprise mapping applications for internal clients.
Technologies Used: Portal for ArcGIS, ArcGIS Desktop, ArcGIS Web AppBuilder, and Inkscape for icon creation/modification
Data Sources: Internal Oracle databases for room and people data
Overview
In working on this project, I created production, web-based enterprise mapping applications. In addition to creating the applications, I also assessed client needs, facilitated interactions between clients and other IT personnel, and analyzed the data to be mapped to ensure the algorithms that fed data to the mapping applications were correct. I won the Director’s 2019 Institutional Operational Excellence Award for being the key architect and developer of the mapping component of the Computerized Move Management System for Optimized Office Space Utilization.
This image shows the various room types. For example, the dark and light blue colors represent different office types and the light green "office support" rooms include conference rooms and copy stations.
Office Type
The image at left displays the different types of offices (Enclosed Office, Cubicle, and Open Desk) as well as two categories to aid in data clean up (No Data and Bad Data)
Creating this map required standardization and clean up of the room classification data across the Lab.
Office Quality
The image at left displays the classification system used for keeping track of the quality of offices. In addition to showing offices that are in need of a makeover (classified as Inadequate or Substandard), the map aided in correcting missing or bad office quality data.
Visualize moves
The moves map at left shows two different move states (Move Status - Requested and Move Status - Reserved) as well as the Room Utilization metric.
Creating this map required standardization and clean up of the room occupancy data across the Lab.
This online map displays construction projects from a live data feed.
Technologies Used: OpenStreetMap, Leaflet.js, Angular.js, HTML, CSS, JavaScript, and Python for initial data exploration
Data Sources: Envista construction projects from the City of San Francisco's Open Data portal
Zoomed-In View of Data Details
Left is a screenshot of the zoomable, interactive map showing the City of San Francisco's Envista construction projects using data from the City's Open Data portal.
At the most zoomed in levels, blue, purple, cyan and red markers show individual projects. Clicking on a marker reveals a popup showing pertinent information for that project.
Learn more:
Zoomed-Out View
To avoid visual clutter, orange, yellow and green circles show clusters of data points when zoomed out. Orange signifies a high number of data points in that area, yellow a more moderate number and green a low number of projects.
Learn more:
This project uses ESRI's Storymap capbility on ArcGIS Online to display salary data from NerdWallet.
Technologies Used: ArcGIS Online, Excel
Data Sources: NerdWallet, specifically this NerdWallet article
Overview of the Data
From the NerdWallet article:
When it comes to pay, women still make only about 78% of what men bring home. This is a tough truth about the lack of equal pay for equal work, but it isn’t necessarily the full picture.
New research by the American Association of University Women shows the pay gap can be smaller or bigger depending on where you live, with figures varying by as much as 25%.
To interact with the map, visit the Best Cities for Women in the Workforce web map.
For more information about the data, view the NerdWallet Article.
Best Midsized Cities for Women
Continuing the text from the NerdWallet article:
That made us wonder: Which U.S. cities offer the best economic opportunities for women? Could moving help your career? To find the answer, we analyzed 2,100 U.S. cities, and since not everyone wants to move to large urban centers, we also broke the list down into midsize and small cities.
Since the NerdWallet data is divided into three city-size categories, it lends itself nicely to ESRI's Storymap format which can include a map for each of the three city sizes.
This map shows the best midsized cities for women (in green) whereas the previous map showed the best small cities (in orange) and the next map the best large cities (in purple).
Breakdown of Oakland's Score
According to the Nerdwallet data, women in Oakland make more than men as shown by the value of 101.40% for the women's median earnings as a percentage of men's. It is worthwhile to look at the whole picture, however, to see that the unemployment rate is high in Oakland, which brings the total score down to 75.09 leading to a rank of 8 out of all large cities surveyed even though Oakland is one of the very few cities where women make more money than men.
To interact with the map, visit the Best Cities for Women in the Workforce web map.
This collection of maps was created when I was working as a Senior GIS Analyst at NOAA's Southwest Fisheries Science Center.
Technologies Used: ESRI's ArcGIS Desktop, Spatial Analyst, Network Analyst, ArcView, AML, MS Access, and Excel
Data Sources: Various, depending on the map
Klamath River Basin - Land Ownership
Wall-sized (36" x 48") Klamath River Basin poster showing administrative boundaries and land ownership.
This map and the following two maps comprise a suite of wall maps used by a team of economists to evaluate the prospect of removing four dams on the Klamath River.
To see the map in more detail, view the PDF version.
Klamath River Basin - Aerial Image
Wall-sized (36" x 48") Klamath River Basin poster showing satellite imagery and key administrative boundaries.
In addition to showing a photographic view of the land, this map highlights the U.S. Bureau of Reclamation's Klamath Irrigation Project boundaries, shown in yellow toward the center of the map.
To see the map in more detail, view the PDF version.
Klamath River Basin - Hydrology and Topography
Wall-sized (36" x 48") Klamath River Basin poster showing topography, river flow, and watersheds.
This map won a competition to be included in the 2011 ESRI Map Book, Volume 26.
To see the map in more detail, view the PDF version.
Klamath Annual Maximum Temperature
PowerPoint map of the annual maximum air temperature from 1961 to 1990 for the Klamath Basin area.
Temperature data from the PRISM Climate Group.
Klamath Annual Average Precipitation
PowerPoint map of the annual average precipitation from 1961 to 1990 for the Klamath Basin area.
Precipitation data from the PRISM Climate Group.
Klamath Ecoregions
PowerPoint map of the EPA Level III Ecoregions in and near the Klamath Basin in Oregon and California.
Salmon Management Zones
This 8.5" x 11" map shows the Oregon and California salmon management zones (Northern Oregon, Central Oregon, etc.) in the Pacific Ocean. KMZ stands for Klamath Management Zone.
The key locations used to divide one zone from another are displayed in white type (Heceta Head, Humbug Mountain, etc.).
In addition to the zones and key locations, the map shows key cities (in blue type), counties, states and the Klamath Basin watershed and associated rivers.
Jurisdictions a Salmon Swims Through
PowerPoint map of the jurisdictional areas a salmon swims through on its way from the Coleman Hatchery to the ocean and back again.
The jurisdictions include: various counties, private water districts, federal water districts, and state water districts while in streams and rivers; and the California State Coastal Zone and the U.S. Federal Exclusive Economic Zone (EEZ) when in the ocean.
This collection of maps was created when I was working as a GIS Analyst at the Chesapeake Bay Program in Annapolis, Maryland.
Technologies Used: ESRI's ArcGIS Desktop, MS Access, and Excel
Data Sources: Various, depending on the map
Chesapeake Bay Segmentation Scheme - 78 Segments
Chesapeake Bay segmentation scheme with 78 segments, some of which cross state boundaries.
To see the map in more detail, view the PDF version.
Chesapeake Bay Segmentation Scheme - 89 Segments
Chesapeake Bay segmentation scheme with the middle segments subdivided to match state boundaries yielding 89 total segments instead of 78. Only the divided segments are labeled and shown in purple.
To see the map in more detail, view the PDF version.
Chemical Contaminants
Chemical Contaminants for 2006 within the Chesapeake Bay.
Clearly showing the colors of the different toxics comfinations in the narrow tributaries of the rivers proved to be a challenge. I solved this mapping problem by using colored circles next to the name of the river segments that were too narrow to display their color on the map.
To see the map in more detail, view the PDF version.
Bay Watershed Modeling Segmentation Schemes
Chesapeake Bay Watershed modeling segmentation schemes, colored by state. For example, Maryland's segments are shown in shades of red.
To see the map in more detail, view the PDF version.
Public Access Sites
This map shows the public access sites within the Chesapeake Bay Watershed: locations along the Bay and the rivers that feed it where the public can enter the water.
In addition to displaying all the public access sites, this map aims to be viewable by those with red-green color blindness - the most common form of color blindness - by using different shades of blue and yellow and a wide range of color intensities from faint pastels to deep, rich colors.
To see the map in more detail, view the PDF version.
This collection of maps was created when I was working as a Natural Capital GIS Intern at The Nature Conservancy in San Francisco.
Technologies Used: ESRI's ArcGIS Desktop, Spatial Analyst, MS Access, and Excel
Data Sources: Various, depending on the map
South Africa: Conversion and Protection
This map is a large wall map of areas converted from a natural state to a less natural state, such as to agriculture (in orange), as well as areas protected from conversion (in green) in the Mediterranean Biome in South Africa.
Sierra Nevada Demonstration Site - Subregion Map
This map shows the administrative boundaries within California's Sierra Nevada Demonstration Site for the Natural Capital Project.
Legend Close-up - Sierra Nevada Demonstration Site
This map shows a close-up of the legend for the map above of the admisitrative boundaries of the Sierra Nevada Demonstration Site for the Natural Capital Project.
The rectangles for the legend were individually crafted to ensure they matched what the map was showing since the default legend produced by ArcGIS did not look like the map due to the dropshadow effect.
Watershed Map - Sierra Nevada Demonstration Site
This map shows the watersheds in California's Sierra Nevada Demonstration Site for the Natural Capital Project.
Vegetation Map - Sierra Nevada Demonstration Site
This wall-sized map shows the vegetation within California's Sierra Nevada Demonstration Site for the Natural Capital Project.
Vegetation Map Legend
Legend for the Sierra Nevada Demonstration Site Vegetation Map.
My goal was to use a pleasing combination of complimentary colors that resonated with viewers existing visual vocabulary of map colors (e.g. urban often means asphalt or contrete so is shown in grey, evergreen conifer trees are shown in shades of green, etc.).
Close-up of Vegetation Map
Close-up of vegetation within the Sierra Nevada Demonstration Site for the Natural Capital Project.
This collection of maps was created as I was learning GIS.
Technologies Used: ESRI's ArcGIS Desktop, Spatial Analyst, MS Access, and Excel
Data Sources: Various, depending on the map
Riverside Residential Prices
Distribution of residential housing prices in Riverside, California circa 2005.
Historic Pacific Sardine Catch - 1937-1938 Season
Historic Pacific Sardine catch for the 1937-1938 season.
This map and the following map were created as a volunteer project for a professor doing research on Historic Sardine Catches in the Pacific Ocean.
Historic Pacific Sardine Catch - 1916-1948
Map and graph of West Coast historic Pacific Sardine catch spanning 1916 to 1948.
By creating a simple graph of the time-series data below the map, I was able to spot an odd value in the total catch numbers since the value was an order of magnitude larger than the other values. Consultation with the professor doing the research confirmed that an order of magnitude increase in catch at that point in time was extremely unlikely. After going back to the original data source, the professor confirmated that the odd value was a data entry error made by one of her students.
Claremont Land Use
Land use in Claremont, California, Beat 3.
Claremont Burglaries
Burglaries in Claremont, California, Beat 3.
Bivariate Map Example
Map showing two variables - education level and income - in Wilson, North Carolina.
Winter Park - Aerial Image
Letter-sized (8.5" x 11") aerial map of the Winter Park Ski Area in Colorado.
Winter Park - Topographic Map
Letter-sized (8.5" x 11") topographic map of Winter Park Ski Area and the Fraser River Valley in Colorado.
Winter Park - Slope Steepness
Letter-sized (8.5" x 11") map of the degree of slope of the mountains at the Winter Park Ski Area.
This map was created by performing a slope calcuation using Spatial Analyst on the Digital Elevation Model (DEM) for the area. In the center of the map, the slope varies from somewhat steep (yellow) to very steep (red) and back several times on a run (called "Outhouse") that connects the northwest Winter Park section of the ski area to the southeast Mary Jane section. The map accurately portrays these slope changes as a yellow area (moderately steep) marked by bands of red (very steep).
Winter Park - Slope Aspect
Letter-sized (8.5" x 11") map of the slope aspect of the mountains at the Winter Park Ski Area.
The large areas of red (north-facing) and yellow (east-facing) slopes show that this ski area is likely to weather changes caused by climate change better than an area with more south or west facing slope aspects since snow melts much more slowly on north- and east-facing slopes.
Long Beach 45' Tsunami Hazard
This 8.5" x 11" map shows the tsunami hazard if a 45-foot wave were to hit Long Beach, California. Areas that would be innudated are shown in red.


--8<--
to separate dictionary entries (surrounding whitespace will
be trimmed). If the first entry of a dictionary delimited by
--8<--
is empty, that entry is ignored.
hobbit
or longer text: Emperor of Earth
&
(ampersand symbol), field names and values are separated by
=
(equality sign). Any spaces are considered to be a part
of the name or value.
Example: hobbit#gender=male&feet=large
{Ruler} of {Planet}
. Each entry is considered
to be an independent sentence within the same context
as far as the templates are concerned (i.e. capture references work
only within one entry, but the context is shared with the whole
greater sentence).
{Ruler>title} of {Planet}#title={!title}
weight
, which controls the probability weight for this
entry to be selected during the generation. Entries with weights
less than or equal to zero are excluded from the dictionary.
Entries that already appeared in the current greater sentence
are also excluded from the dictionary until every entry in the
dictionary will make an appearance (after this the process repeats).
Result: [head^tails]
.
This notation is equivalent to Result: {random_name}
,
where random_name
is a dictionary with head
and tails
entries.
{?expression|$variable}
.
Use any existing dictionary as a scope. Remember to declare any
variables you plan to use in your expressions.
gt(lhs, rhs)
,
gte(lhs, rhs)
, implement >
and
≥
operators (needed due to overly simple placeholder
syntax). dict(name)
, returns a value from the dictionary.
triggers
: default#foo=0
Sentence: {%triggers>T}{%?foo=foo+1|$T}{=foo|$T}
Sic transit gloria
mundi
.
There was a {race}
. The generator will fill the placeholders width
the strings from the dictionaries and other values, as described below.
If you see placeholders in the output, it means that either you
mis-configured the generator (perhaps there is a typo in the dictionary
name), or there is a bug somewhere.
There was a {race}
. It is replaced with a randomly selected
entry from a corresponding dictionary. There was a hobbit
.
There was a {race}. {Race} was friendly.
→ There was a hobbit. Ork was friendly.
.
{function|placeholder}
: There was {a|race}.
.
{A|race}
→ A hobbit
.
You may capitalize placeholder too: {A|Race}
→
A Hobbit
, {a|Race}
→ a Hobbit
.
There was {a|race>r}. {A|$r} was friendly.
a
, which chooses which
form of indefinite article to use (an
if first word in
the value starts with a vowel, a
otherwise).
There was {a|race}.
→ There was a hobbit
,
There was an ork
. You may configure an exception for
a given dictionary entry by using a
metadata field
in the entry: honest#a=an
. Join several
metadata fields by &
:
rose#smell=good&color=red
{=field|placeholder}
.
As usual, if the first letter of the field name is capitalized,
the result starts with a capital letter.
roses#color=red
+
{Flowers>f} are {=color|$f}.
→
Roses are red
.
flowers
:
roses
violets
color
:
red
blue
{Flowers>f} are {=color|$f}. Yes, {$f} are {=color|$f}
→ Roses are red. Yes, roses are red.
{placeholder>contextKey}
syntax. It also will work with
functions: {a|placeholder>contextKey}
and will store
a value returned by the function.
To retrieve previously stored value, use
{!contextKey}
syntax. As usual, if first letter
of the key is capitalized, the result is capitalized too.
Example:
There was a {A|hobbit>race}. {$Race} was friendly
{>contextKey}
to set a context value to empty string.
{%expression}
to suppress output of a placeholder.
Context and reference values will still be set.
{\n}
.
{.|foo}
to emit foo
. It is useful to
set specific values to variables: {%.|foo>bar}
.
<dictionary|reply text>
.
The reply text
will be shown to user and if user will
pick this reply, a random entry from the dictionary
will be shown.
The End
reply
will be shown to the user, leading back to the beginning of the chat.
<|Auf Wiedersehen!>
<
to set the dynamic chat replies:
{%<|cue-01|Foo>reply-01}{%>reply-02}{replies}
,
where replies
single-entry dictionary may be defined as:
{reply-01}{reply-02}
This way, reply-01
is set to lead to cue-01
, and reply-02
is disabled. Later on you may use
{%<|cue-02|Bar>reply-02}
to enable
reply-02
before the replies
is redisplayed.
reply()
,
which can be used like <
:
{?reply("cue-01|Foo")|$T}
will produce
<cue-01|Foo>
String.replace()
documentation for details.
~text~
will be translated to
\lettrine{t}{ext}
.


Before Change
Language resources must be loaded before fitting or parsing
if language in _RESOURCES:
return
_RESOURCES[language] = _load_resources(language)
def resource_exists(language, resource_name):
After Change
Language resources must be loaded before fitting or parsing
clear_resources()
languages = os.listdir(resources_dir)
all_supported_languages = get_all_languages()
for language in languages:
if language not in all_supported_languages:
raise ValueError("Unknown language: "%s"" % language)
_RESOURCES[language] = _load_resources(resources_dir, language)
def resource_exists(language, resource_name):
Tell if the resource specified by the resource_name exist
Args:


I'm a passionate developer focused on efficiency and constant learning.
I can create solutions in web development processes and realize your ideas, either from the front-end or the back-end.
I would love to set up an introduction call to discuss how I could help your business and make your goals happen.
A full-stack web application, this app allows you to identify the detection of faces in any image supplied. This was achieved thanks to Clarifai's artificial intelligence API.


(., temperature lakes lake surface thermal climate mean Lake models water change air temperatures SRM data predicted used daily changes increase model .°C Rocky conditions days future mountain warming {border-style Mountain px;} #ffffff;} fish high-elevation using SNOTEL Sciences United ice metrics summer ·decade States important lower average lakes, predict rates Fig influence Climate MAT Research fit growth likely processes study weekly (–) Biology. National bounds lakes. potential predictions streams trends (i.e., Colorado IFD Lakes Table Water analysis annual current habitat ice-free rate stream upper values Aquatic Change Letters. alter continuous ecological include native px; quality southern timing {font-family Baron Geophysical JJR. U.S. cold cover dynamics effects fishes font-size high higher increased increases observed phytoplankton projections spawning temperatures. uncertainty Earth Freshwater Geological Global However, MST Mean Model Research. Science ]). additional atmospheric change. changing climatic create double; downscaled ecosystem function greater headwater lake. magnitude non-linear number parameter past phenology provided range records response results survival temperature, temperature. trout young (.–.) ./gl ./j.-...x Canadian Click Cutthroat Fort Hostetler LINK Limnology Oceanography. Resources Stefan Trout alpine aquatic border-color border-width characteristics consequences deposition detailed driven earlier file. free hypolimnetic increasing management nitrogen projected regression scenario season solid; trophic use warm warmer {font-style {font-weight (.) (MAT), (°C) -day ./journal.pone. ./pnas. ./s--- .°C, Academy America. American B). Change. Climatic Collins, Colorado, JJR Magnuson North Park Proceedings Read River Roberts SRM, Survey, Temperature analysis. availability available bias bold calculated century closest collected courier; created currently different dissolved drivers em; emission example, funding global indicate individual life low maximum oxygen performed pt;} regimes regional regions river similar site species station statistical systems time trend unlikely value zooplankton


© 2019
| cacaliaster cacaliasteres | somewhat like the genus Cacalia | |||
| cacalia | cacali | noun/f | κακαλια a name for a plant, perhaps colt's foot, variously ascribed to Cacalia verbascifolia, C. sonchifolia, Tussilago farara | |
| aster | aster | noun/m | substantive suffix for nouns or adjectives: inferiority or partial resemblance, wild, diminutive | |
| Senecio cacaliaster Lam. | ||||
| cacaliifolius cacaliifolia cacaliifolium | leaves like the genus Cacalia | |||
| cacalia | cacali | noun/f | κακαλια a name for a plant, perhaps colt's foot, variously ascribed to Cacalia verbascifolia, C. sonchifolia, Tussilago farara | |
| i | i | cnct | connective vowel used by botanical Latin | |
| folius | foli | adj | folium leaf | |
| cacalioides cacalioides cacalioides | like the genus Cacalia | |||
| cacalia | cacali | noun/f | κακαλια a name for a plant, perhaps colt's foot, variously ascribed to Cacalia verbascifolia, C. sonchifolia, Tussilago farara | |
| oides | oid | adj | -οειδεϛ adjective suffix for nouns: like, resemble | |
| cachroides cachroides cachroides | like catkins | |||
| cachrys | cachr | noun/f | καγχρυϛ a catkin; a rosemary seed capsule | |
| oides | oid | adj | -οειδεϛ adjective suffix for nouns: like, resemble | |
| Cryptodiscus cachroides Schrenk | ||||
| caducus caduca caducum | fallen | |||
| caducus | caduc | adj | fallen, destined to fall | |
| X Achnella caduca (Beal) Barkworth Elymus caducus Boiss. |


Sakura
A module indicating how the cherry blossom blooming time in Kyoto gives us a climate estimator going back over 1000 years. .
The module will appear as "Global Temperature Anomoly" in the object tree, under Solar System/Planets/Earth.
The variable sakuraYearPlot is used to animate the graph. The data span is from 850-1996.
Dependencies
Earth
Created by
Mark SubbaRao and Takumi Inoue,
based on data from:
Aono and Kazui (2008; International Journal of Climatology, 28, 905-914)
and Aono (2012; Chikyu Kankyo (Global Environment), 17, 21-29) for citation
(Chikyu Kankyo in Japanese means the Global Environment. This paper was written in Japanese).
Version
1.0
Created
5 May 2017


retractcheck.Rd
Using 'Digital Object Identifiers', check for retracted (or otherwise updated) articles using 'Open Retractions' <http://openretractions.com>.
Using the http://openretractions.com API, this function checks whether a DOI has been updated, when that update was made, and what type of update was made.
retractcheck(dois, database = "or", return = "unique")
| dois | Character. Vector of containing only DOIs |
|---|---|
| database | Character. Abbreviation of the databases to search
( |
| return | Character. If |
retractcheck
data.frame
#> doi database update_type retracted #> 1 10.1002/job.1787 open_retractions correction FALSE #> 2 10.1111/j.1365-2044.2012.07128.x open_retractions None found NA #> update_doi publisher #> 1 10.1002/job.1858 Wiley-Blackwell #> 2 <NA> <NA> #> title #> 1 Erratum: Cognitive and affective identification: Exploring the links between different forms of social identification and personality with work attitudes and behavior #> 2 <NA> #> published_original published_update update_delay #> 1 2013-02-26 2017-05-28 1552 days #> 2 <NA> <NA> NA days#> doi database update_type retracted #> 1 10.1002/job.1787 open_retractions correction FALSE #> 2 10.1111/j.1365-2044.2012.07128.x open_retractions None found NA #> update_doi publisher #> 1 10.1002/job.1858 Wiley-Blackwell #> 2 <NA> <NA> #> title #> 1 Erratum: Cognitive and affective identification: Exploring the links between different forms of social identification and personality with work attitudes and behavior #> 2 <NA> #> published_original published_update update_delay #> 1 2013-02-26 2017-05-28 1552 days #> 2 <NA> <NA> NA days# }


import {{ '{' }} AmazingTimePickerService {{ '}' }} from 'amazing-time-picker';
| Name | Description |
|---|---|
| atp-time-picker | You can add this directive to any input element. It will read the value of element, if its there with 00:00 format, and it is compatible with HTML 5 input time. |
Opens the dialog, and returns a function that you can subscribe to, so when dialog is closed, it's gonna give you the result as a Observable {{'<'}}string{{'>'}}
| Name | Description |
|---|---|
| time: string | Default time when Timepicker dialog appears |
| theme: string | Select theme to change dialog style |
| arrowStyle: Pallete | Change arrow color of Timepicker |
Gets an observable that is notified when the dialog is selected.
Observabel{{'<'}}string{{'>'}}


CSE 578 Project
Possible counties to find plants
Plants found together
Distribution of plants in AZ
Blooming of plants in AZ round the year
New cacti discovered
Top researchers
Counties containing the rule (blue regions)
Dropdown Header:
Action
Another action
Something else here
Counties containing this rule
Rules ( Antecedent -> Consequent )
Antecedents
Consequents
Ready to Leave?
×
Select "Logout" below if you are ready to end your current session.


Copyright (c) 2001 László Nagy
Push 4 is played on an empty 7x7 square board.
|
| An example
Black's move. He should push down on column d and wins next turn. If White tries to prevent by pushing down another stone on d, Black wins with another push down in column d, making a vertical 4 in-a-row with stones d2-d3-d4-d5. |
There is a ZRF to play Push 4 with Zillions. A variant of this game, called Roll 4 by the same author, states that a stone inserted on the edge rolls as many empty cells as possible (until it finds a stone or the opposite edge), instead not pushing. Both games have hexagonal variants: Roll 4X and Push 4X.
| An Roll 4 example
White's turn. He has a winning sequence, starting by rolling a stone into cell [1]. The remaining moves are forced. |


{% load static %}
SEEKJOBS - THE EASIEST WAY TO GET YOUR NEW JOB
Home
jobs
companies
{% if candidate %}
recommendations
{% else %}
post a job
{% endif %} {% if request.user.is_anonymous %}
register
{% endif %} {% if not request.user.is_anonymous %}
dashboard
Logout
{% else %}
Login
{% endif %}
Home
Jobs
Companies
CV Models
Post A Job
Login
register
{{ job.job_title }}
{{ job.job_company.company_name }}
{{ job.job_location }}
{% if type %}
Apply
{% endif %}
Job Experience
{{ job.job_experience }}
Job Type:
{{ job.type }}
Publication Date:
{{ job.whenpublished }}
Education Level:
{{ job.job_education }}
{{ job.job_description |safe }}
© Designed and Developed by
SEEKJOBS


Open current account
State
City
Branch
GSTN
Validate
PAN
Email
Check eligibility
Getting cutomer details
Verifying customer
Checking eligibility
Yayyy !!! All good


A BRONX TALE (1993)
Review by Simon Doherty
This was the first film to be directed by legendary actor Robert De Niro and it is a promising debut. Based on a stage play by Chazz Palminteri, it is very watchable, but a lack of depth prevents it being a great film.
The structure is similar to the first part of Goodfellas, following an Italian, Calogero Anello, and his growing association with the gangsters in his neighbourhood from age 9 to 17. De Niro plays his father, a bus driver who shuns involvement with the criminals and wishes his son would do the same. Palminteri is the local boss who takes Calogero under his wing. These performances are the high points of the film; both are compelling and completely believable. As a result the film tends to drag when neither are on screen, especially during Calogero's romance with a local black girl. Francis Capra plays the teenager capably, but cannot carry the subtler emotional scenes on his own.
The influence of Martin Scorsese on De Niro's direction is apparent. The (fairly limited) violence is handled in a similarly startling and unflinching way, and talk-overs are used extensively. However, the narration is less effective here than in Goodfellas. The lines are not delivered with the panache of Ray Liotta, and occasionally intrude on the story. In one scene particularly, when bikers enter the local bar, a voice-over is used when the images would have been sufficient to tell the story. This breaks the tension that had been developed and weakens the impact of what follows.
Overall, though, the film sustained my interest and created some memorable scenes and characters. Hopefully De Niro will tackle some less familiar material; he has the potential to develop a style of his own.
7/10
<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


|
Literature CD
|
|
This CD will provide complete information for your laundry equipment.
|
||
|
To locate the literature for your model, type the first five digits of your model number in the box below and click the search button.
|
||
|
Model Number Search
|
||
|
NOTE: Viewing PDF files requires Adobe Reader® (version 5.0 or higher), which can be downloaded for free at www.adobe.com.
|
||
|
|


【Jekyll】 Blog Pagination 分頁(換頁)
:
Jekyll
To enable pagination for your blog, you have to include jekyll-paginate
plugin in your Gemfile and in your _config.yml
under gems.
1. Install jekyll-paginate
2. Modify _config.yml
Remember change url to your domain name.
3. Modify index.html
, Refer to Jekyll docs:
Then, it’s done.


| For Domestic Delegates | |
|---|---|
| Bank Name: | Punjab National Bank |
| Branch Name: | Navyug Market, Ghaziabad-201001 |
| Accouunt Name: | ABES Engineering College |
| Account Number: |<PHONE_NUMBER>045914 |
| Account type: | Over Draft Account |
| IFS Code: | PUNB0067400 |
| For International Delegates | |
| Swift Code: | PUNBINBBGNM |
| Email id: |<EMAIL_ADDRESS>|
| NOTE: Copy of Fee Receipt Should be Send to: Organizing Secretary, CICT-2018 at<EMAIL_ADDRESS>|


|
1
|
|
package com.github.diegopacheco.pitest.fun; |
|
2
|
|
|
|
3
|
|
public class SimpleTransformer { |
|
4
|
|
|
|
5
|
|
public int toNumber(int a) { |
|
6
|
3
1. toNumber : Replaced integer addition with subtraction → KILLED
2. toNumber : negated conditional → KILLED
3. toNumber : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED
|
if (a==0) return a+1; |
|
7
|
1
1. toNumber : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED
|
else return 0; |
|
8
|
|
} |
|
9
|
|
|
|
10
|
|
public int compare(int a,int b){ |
|
11
|
3
1. compare : changed conditional boundary → NO_COVERAGE
2. compare : negated conditional → NO_COVERAGE
3. compare : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE
|
if (a>=b) return 1; |
|
12
|
2
1. compare : negated conditional → NO_COVERAGE
2. compare : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE
|
if (a==-1) return -1; |
|
13
|
2
1. compare : negated conditional → NO_COVERAGE
2. compare : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE
|
if (a==b) return 0; |
|
14
|
1
1. compare : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE
|
return 3; |
|
15
|
|
} |
|
16
|
|
|
|
17
|
|
} |
| | Mutations |
| 6 |
|
1.1 Location : toNumber Killed by : com.github.diegopacheco.pitest.fun.test.SimpleTransformerTest.testToNumber0(com.github.diegopacheco.pitest.fun.test.SimpleTransformerTest) Replaced integer addition with subtraction → KILLED 2.2 Location : toNumber Killed by : com.github.diegopacheco.pitest.fun.test.SimpleTransformerTest.testToNumber1(com.github.diegopacheco.pitest.fun.test.SimpleTransformerTest) negated conditional → KILLED 3.3 Location : toNumber Killed by : com.github.diegopacheco.pitest.fun.test.SimpleTransformerTest.testToNumber0(com.github.diegopacheco.pitest.fun.test.SimpleTransformerTest) replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED
|
| 7 |
|
1.1 Location : toNumber Killed by : com.github.diegopacheco.pitest.fun.test.SimpleTransformerTest.testToNumber1(com.github.diegopacheco.pitest.fun.test.SimpleTransformerTest) replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED
|
| 11 |
|
1.1 Location : compare Killed by : none changed conditional boundary → NO_COVERAGE 2.2 Location : compare Killed by : none negated conditional → NO_COVERAGE 3.3 Location : compare Killed by : none replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE
|
| 12 |
|
1.1 Location : compare Killed by : none negated conditional → NO_COVERAGE 2.2 Location : compare Killed by : none replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE
|
| 13 |
|
1.1 Location : compare Killed by : none negated conditional → NO_COVERAGE 2.2 Location : compare Killed by : none replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE
|
| 14 |
|
1.1 Location : compare Killed by : none replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE
|


Search for taxonomy data from Plantminer.com
plantminer(plants, from = "tpl", key = NULL, verbose = TRUE)
Arguments
- plants
- (character) Vector of plant species names. Required.
- from
- (character) One of tpl (for theplantlist.com data), or
flora (for Brazilian Flora Checklist). Required. Deafult:
tpl
- key
- (character) Your api key for the plantminer.com site. Go to
http://www.plantminer.com/ to get your api key. Two options for
inputting your key. 1) You can input it manually within the function as
the second argument, or 2) you can put the key in your .Rprofile file,
which will then be loaded when you start R. See
http://bit.ly/135eG0b for help on how to put api keys in your .Rprofile file.
- verbose
- (logical) Verbose or not. Deafult:
TRUE
Value
data.frame of results.
Examples
## Not run: ------------------------------------
# # A single taxon
# plantminer("Ocotea pulchella")
#
# # Many taxa
# plants <- c("Myrcia lingua", "Myrcia bella", "Ocotea pulchella",
# "Miconia", "Coffea arabica var. amarella", "Bleh")
# plantminer(plants)
#
# # By deafult, tpl is used, for Theplantlist data,
# # toggle the from parameter here
# plantminer("Ocotea pulchella", from = "flora")
## ---------------------------------------------


Currently under development, there may be: broken links, spelling mistakes, inaccurate information, bugs, etc. If there are any problems, or if you have any suggestions for improvements, please inform me in the TEIN public Discord "@JRob774", thank you and enjoy.
Welcome to The End is Nigh: Modder's Manual!
This manual plans to detail modding for The End is Nigh, providing help and information in
a variety of different areas. Hopefully helping new modders begin learning and understanding
the basics, as well as acting as a helpful reference for those more experienced.
There are three main sections to the manual: getting started / tutorials, using the editor,
and the reference; with each main category being split into easier to digest chunks.
Another useful part of the manual is the Downloads section, which supplies useful tools
to allow for modding The End is Nigh.
So, get ready to begin and enter the world of The End is Nigh modding!


PsiCubed2's Letter Notation - Official P array only
F5.1928383828
Collapsion here
HTML here
Step
Full
Progression
Collapse
Info here


SGT. PEPPER'S LONELY HEARTS CLUB BAND (PG)
Directed by Michael Schultz Running Time: NA Originally Released: 1978
Reviewed by E. Benjamin Kelsey
zero (out of four stars)
Whether you like the Beatles or not, nobody wants to see the Bee Gee's take on some of the Fab Four's best known songs.  You just have to know how bad bad can be. If that's the case, rejoice, because it was twenty years ago today (or so) that SGT. PEPPER'S LONELY HEARTS CLUB BAND was released (unleashed?) to the world, and thanks to our modern technological advances, you can find this retched piece of filmmaking on VHS.
Derived from the lyrics of various Beatles' songs, SGT. PEPPER'S tells the story of the fictitious band made popular from the song (and album) of the same name, released in 1967. Of course, the movie was made eleven years later, the Gibbs three have become the Lonely Hearts, Peter Frampton is the one and only Billy Shears, and aside from being about a rock band, the story doesn't correlate to the song at all. And oh, what joy - we're the lovely audience they'd like to take home with them. I don't think so. But at least these characters are actually *people* in a Beatles' song, whereas other characters such as Strawberry Fields (Sandy Farina) gets her name from a song about a *place* called Strawberry Fields. The debate over this is really quite futile when it comes down to it, because all the film really has to offer is a feast of horrid cover tunes, embarrassing cameo appearances (George Burns?! Steve Martin?!? ALICE COOPER?!?!), and UUUUUUGGGGGGGLLLLLLLYYYYY 70's fashion and faces. Check please!
The plot is a bit unclear.  Mean Mr. Mustard (Frankie Howerd) somehow gets hold of all Billy & Co.'s instruments, calling Dr. Maxwell Edison (Steve Martin with a silver hammer and an out-of-key singing voice), the Sun King, Marvin Sunk (Alice Cooper!), and a couple of creepy robots to his aid. Supposedly this is a horrible thing? I guess in Heartland, the talent is pretty non-existent. Meanwhile, the Lonely Hearts are off doing the classic "sex, drugs, and rock n' roll" thing, leaving poor Strawberry Fields without her true love, Billy. She sets out to find him, leaving her poor dad and mom (Mrs. Fields! Hey, wanna cookie?) all alone to sing a horrible rendition of "She's Leaving Home", accompanied by those same creepy robots. But is Billy getting it on with Lucy (Dianne Steinberg)? Ya know, the diamond possessing girl who hangs out in the sky? Well, there's some crazy chick singing soprano on the roof of a building next to a bus stop, and I assume that's who it was.
 Nobody will ever know, but as a novelty, SGT. PEPPER'S is one to examine. Carol Channing, Robert Palmer, Keith Carradine - they're all here. But why???? Who knows. It's irrelevant. There's as much meaning to be found here as there is to be found in your belly-button lint, although the latter may be more interesting. With the recent onslaught of 70's nostalgia in the movie world (THE ICE STORM, BOOGIE NIGHTS, reissues of the STAR WARS trilogy, etc.), let's pray this doesn't get a special 20th anniversary, second-chance in theaters. In the words of Paul McCartney, live and let die. In fact, bury this one while you still can.
February 07, 1998
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Workday Scheduler
A simple calendar app for scheduling your workday
clear all
9 am
save
clear
10 am
save
clear
11 am
save
clear
12 pm
save
clear
1 pm
save
clear
2 pm
save
clear
3 pm
save
clear
4 pm
save
clear
5 pm
save
clear


Before Change
sampler.fit(X, y)
X_different = np.random.random((40, 2))
y_different = y = np.array([1] * 25 + [0] * 15)
assert_raises_regex(RuntimeError, "X and y need to be same array earlier",
sampler.sample, X_different, y_different)
def check_samplers_fit(name, Sampler):
sampler = Sampler()
After Change
sampler.fit(X, y)
X_different = np.random.random((40, 2))
y_different = y = np.array([1] * 25 + [0] * 15)
with raises(RuntimeError, match="X and y need to be same array earlier"):
sampler.sample(X_different, y_different)
def check_samplers_fit(name, Sampler):
sampler = Sampler()
X = np.random.random((30, 2))
y = np.array([1] * 20 + [0] * 10)


Your browser does not support HTML5 canvas.
Above: An HTML5 canvas element that is 600 pixels wide and 400 pixels high. You don't see anything, because JavaScript has not put anything there.
Canvas Playground index


Juventus' Ronaldo out against Atalanta with knee injury
by ESPNCristiano Ronaldo will not play in Juventus' Serie A match against Atalanta on Saturday, but the team is hoping to have him back for the Champions League clash against Atletico Madrid next week.
Ronaldo was not on the squad list Juventus released for the Atalanta clash Friday, and the Portuguese forward, who said he has been hampered by a lingering knee injury for the past three weeks, confirmed he'd be undertaking a period of recovery in a message posted on his social media accounts.
Editor's Picks
"Focused on my recovery to come back soon!" Ronaldo said.
Last week, the 34-year-old joined Portugal for two Euro 2020 qualifiers amid speculation over his fitness and attitude following his angry reaction to being substituted during Juventus' 1-0 win over AC Milan the previous Sunday.
Maurizio Sarri at the time said that Ronaldo had been struggling with a knee problem for a while, and Ronaldo confirmed the injury when speaking to reporters the following Sunday.
"In the last three weeks, I have been playing with limitations," Ronaldo said. "But there was no controversy -- you [the media] created that.
Serie A
"I tried to help Juventus. Nobody likes to be substituted, but I understood because I wasn't in such good shape," he added.
Ronaldo said he was also "not 100%" in the two Portugal matches.
"I sacrificed myself for the team," he said. "We could have missed out [on Euro 2020]. Thankfully, I haven't been injured much in my career, but it can happen.
"It's a pain that prevents me from being 100%, but I always try to play. They created a big controversy where it didn't need to exist. I'll be back to 100% soon."
Information from Reuters was used in this report.


{% extends "layout.html" %} {% block content %}
Ref: sueddie.wordpress.com
Tell them about yourself...


|
Ubiquity
2.3.0
php rapid development framework
|
File system utilities Ubiquity$UFileSystem This class is part of Ubiquity. More...
Static Public Member Functions | |
| static | glob_recursive ($pattern, $flags=0) |
| Find recursively pathnames matching a pattern. More... | |
| static | deleteAllFilesFromFolder ($folder, $mask=' *') |
| Deletes all files from a folder (not in subfolders) More... | |
| static | deleteFile ($filename) |
| Deletes a file, in safe mode. More... | |
| static | safeMkdir ($dir, $mode=0777, $recursive=true) |
| Tests the existance and eventually creates a directory. More... | |
| static | cleanPathname ($path) |
| Cleans a directory path by removing double backslashes or slashes and using DIRECTORY_SEPARATOR. More... | |
| static | cleanFilePathname ($path) |
| Cleans a file path by removing double backslashes or slashes and using DIRECTORY_SEPARATOR. More... | |
| static | tryToRequire ($file) |
| Try to require a file, in safe mode. More... | |
| static | lastModified ($filename) |
| Gets file modification time. More... | |
| static | load ($filename) |
| Reads entire file into a string in safe mode. More... | |
| static | getDirFromNamespace ($ns) |
| Returns the directory base on ROOT, corresponding to a namespace. More... | |
| static | delTree ($dir) |
| Deletes recursivly a folder and its content. More... | |
| static | getLines ($filename, $reverse=false, $maxLines=null, $lineCallback=null) |
| Returns the lines of a file in an array. More... | |
| static | relativePath ($from, $to, $separator=DIRECTORY_SEPARATOR) |
| Returns relative path between two sources. More... | |
| Static Public Member Functions inherited from UFileSystemWriter | |
| static | openReplaceInTemplateFile ($source, $keyAndValues) |
| static | openReplaceWriteFromTemplateFile ($source, $destination, $keyAndValues) |
| static | replaceFromTemplate ($content, $keyAndValues) |
| static | replaceWriteFromContent ($content, $destination, $keyAndValues) |
| static | save ($filename, $content, $flags=LOCK_EX) |
| static | xcopy ($source, $dest, $permissions=0755) |
Static Protected Member Functions | |
| static | getLinesByLine ($filename, $reverse, $maxLines, $lineCallback) |
File system utilities Ubiquity$UFileSystem This class is part of Ubiquity.
Definition at line 16 of file UFileSystem.php.
|
static |
Cleans a file path by removing double backslashes or slashes and using DIRECTORY_SEPARATOR.
| string | $path |
Definition at line 99 of file UFileSystem.php.
|
static |
Cleans a directory path by removing double backslashes or slashes and using DIRECTORY_SEPARATOR.
| string | $path |
Definition at line 79 of file UFileSystem.php.
|
static |
Deletes all files from a folder (not in subfolders)
| string | $folder | |
| string | $mask |
Definition at line 39 of file UFileSystem.php.
|
static |
Deletes a file, in safe mode.
| string | $filename |
Definition at line 53 of file UFileSystem.php.
|
static |
Deletes recursivly a folder and its content.
| string | $dir |
Definition at line 163 of file UFileSystem.php.
|
static |
Returns the directory base on ROOT, corresponding to a namespace.
| string | $ns |
Definition at line 153 of file UFileSystem.php.
|
static |
Returns the lines of a file in an array.
| string | $filename | |
| boolean | $reverse | |
| null | int | $maxLines | |
| callback | $lineCallback |
Definition at line 180 of file UFileSystem.php.
|
staticprotected |
Definition at line 232 of file UFileSystem.php.
|
static |
Find recursively pathnames matching a pattern.
| string | $pattern | |
| integer | $flags |
Definition at line 25 of file UFileSystem.php.
|
static |
Gets file modification time.
| string | $filename |
Definition at line 130 of file UFileSystem.php.
|
static |
Reads entire file into a string in safe mode.
| string | $filename |
Definition at line 140 of file UFileSystem.php.
|
static |
Returns relative path between two sources.
| $from | ||
| $to | ||
| string | $separator |
Definition at line 219 of file UFileSystem.php.
|
static |
Tests the existance and eventually creates a directory.
| string | $dir | |
| int | $mode | |
| boolean | $recursive |
Definition at line 67 of file UFileSystem.php.
|
static |
Try to require a file, in safe mode.
| string | $file |
Definition at line 116 of file UFileSystem.php.


GOLDFINGER PROJECT
Map
Log out
Date range
Search
Search
Get CSV Report
username
ip address
date/time
event
additional data


{% extends '_base.html' %} {% load render_table from django_tables2 %} {% load form_helpers %} {% block title %}IP Address Import{% endblock %} {% block content %}
| Field | Description | Example |
|---|---|---|
| Address | IPv4 or IPv6 address | <IP_ADDRESS>/24 |
| VRF | VRF route distinguisher (optional) | 65000:123 |
| Tenant | Name of tenant (optional) | ABC01 |
| Status | Current status | Active |
| Device | Device name (optional) | switch12 |
| Interface | Interface name (optional) | ge-0/0/31 |
| Is Primary | If "true", IP will be primary for device (optional) | True |
| Description | Short description (optional) | Management IP |
<IP_ADDRESS>/24,65000:123,ABC01,Active,switch12,ge-0/0/31,True,Management IP


January 1st, 2012. What a great year 2011 has been! A VP Engineering position where we turned the company around from self-immolation, and moving in with the girlfriend. No matter what else you can say, it’s been exciting and one of the bigger growth experiences of my life. So how to top it in 2012? Hey, how to match it?
I have no idea. So instead I took my one week off at the end of the year (hey, turning that company around was a 7 day a week job!) to return to my favorite technology, Drupal. After some struggles with the Drupal 7 core code I can create entities and fields willy nilly. In real life it’s almost always better to create them in the UI and export them with Features, but for really understanding what’s happening you need to get as deep into the code as possible. So I did that, and used the knowledge to sketch out a new module idea with a friend. You should see the fruits of that around March. She’s busy writing a book for Packt, and I have real life coming back in two days. That’s going to slow us down.
Now, on to the topic of this post …
Mobile Drupal Made Easy
That company where they hired me in as VPE? After a year the first project has come along where Drupal seems the most appropriate answer (along with Apache Solr and possibly Node.js). We have the client kickoff the second week of January, then it’s a pell mell rush for a three month delivery. Having had a months warning one of the first things we did was sketch out a preliminary architecture, then map out the areas where we had missing experience or an unclear idea how to proceed. One of those was in how to make mobile apps connected to Drupal in the most convienent way possible.
The short story was, for this client, make a standalone app makes little sense. Yes, we want to be in the app store, but we are going to use about zero percent of the native functionality. So despite a strong Sencha Touch skillset we want to try a new approach.
Proposed: Responsive Web in a Phone Gap Wrapper
We plan to create a responsive web design (we’ve done some internal development tests with the Omega Theme to great success.) Then wrap it in PhoneGap or Sencha Touch wrapped in Phone Gap. That’s the part we have not tried yet.
So I have a full day until real life work starts up. The emails already indicate the client pressure will be huge, and the new project starting up won’t lessen anything. Let’s see if you get a post showing PhoneGap wrapping XHTML and sized with a responsive web design. I have high hopes the approach will work fine because (a) it makes sense, and (b) it turns out there is a session on how to do the same thing being given at Drupalcon Denver in March.
Look for a post showing how to do this over the next few weeks.
Happy New Year! John


Laois GAA sell naming rights of O'Moore Park to MW Hire
by Will O'CallaghanPortlaoise's O'Moore Park has been renamed WM Hire O'Moore Park after Laois GAA agreed a deal with their long-term sponsors MW Hire to take the naming rights on the stadium.
The Kilkenny company has been the O'Moore's shirt sponsor for the last decade and the new arrangement will also see them become title sponsors of Laois' county ground.
“We are delighted that Matty Walsh MW Hire Group has agreed to extend his sponsorship to include the naming rights for O ‘Moore Park stadium," Laois chairman Peter O'Neill said of the deal.
"The stadium is now one of the leading stadiums in the country after Croke Park, both for high profile games and games which get live and deferred TV coverage by RTE, SKY, TG4 and Eir Sport.
"The stadium has a maximum capacity of 22,000, of which 6,500 are seated, floodlighting, to a standard for televised hurling games, now means the number of high profile games in the stadium has increased further.
“This alliance will help to enhance and develop facilities in MW Hire O‘Moore Park into the future. Thanks to MW Hire Group’s sponsorship, we will be able to invest in the betterment of the association in Laois, providing a higher class of facilities and maintaining them to a proper standard at the stadium, something that every club in the county and beyond will benefit from.”


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This guide covers some of the tips and tricks Helm chart developers have learned while building production-quality charts.
Helm uses Go templates for templating your resource files. While Go ships several built-in functions, we have added many others.
First, we added almost all of the functions in the Sprig library. We removed two for security reasons: env
and expandenv
(which would have given chart authors access to Tiller’s environment).
We also added two special template functions: include
and required
. The include
function allows you to bring in another template, and then pass the results to other template functions.
For example, this template snippet includes a template called mytpl
, then lowercases the result, then wraps that in double quotes.
The required
function allows you to declare a particular values entry as required for template rendering. If the value is empty, the template rendering will fail with a user submitted error message.
The following example of the required
function declares an entry for .Values.who is required, and will print an error message when that entry is missing:
When you are working with string data, you are always safer quoting the strings than leaving them as bare words:
name: {{.Values.MyName | quote }}
But when working with integers do not quote the values. That can, in many cases, cause parsing errors inside of Kubernetes.
port: {{ .Values.Port }}
This remark does not apply to env variables values which are expected to be string, even if they represent integers:
env:
-name: HOST
value: "http://host"
-name: PORT
value: "1234"
Go provides a way of including one template in another using a built-in template
directive. However, the built-in function cannot be used in Go template pipelines.
To make it possible to include a template, and then perform an operation on that template’s output, Helm has a special include
function:
{{ include "toYaml" $value | indent 2 }}
The above includes a template called toYaml
, passes it $value
, and then passes the output of that template to the indent
function.
Because YAML ascribes significance to indentation levels and whitespace, this is one great way to include snippets of code, but handle indentation in a relevant context.
Go provides a way for setting template options to control behavior when a map is indexed with a key that’s not present in the map. This is typically set with template.Options(“missingkey=option”), where option can be default, zero, or error. While setting this option to error will stop execution with an error, this would apply to every missing key in the map. There may be situations where a chart developer wants to enforce this behavior for select values in the values.yml file.
The required
function gives developers the ability to declare a value entry as required for template rendering. If the entry is empty in values.yml, the template will not render and will return an error message supplied by the developer.
For example:
{{ required "A valid foo is required!" .Values.foo }}
The above will render the template when .Values.foo is defined, but will fail to render and exit when .Values.foo is undefined.
The tpl
function allows developers to evaluate strings as templates inside a template. This is useful to pass a template string as a value to a chart or render external configuration files.
Syntax: {{ tpl TEMPLATE_STRING VALUES }}
Examples:
# values
template: "{{ .Values.name }}"
name: "Tom"
# template
{{ tpl .Values.template . }}
# output
Tom
Rendering a external configuration file:
# external configuration file conf/app.conf
firstName={{ .Values.firstName }}
lastName={{ .Values.lastName }}
# values
firstName: Peter
lastName: Parker
# template
{{ tpl (.Files.Get "conf/app.conf") . }}
# output
firstName=Peter
lastName=Parker
Image pull secrets are essentially a combination of registry, username, and password. You may need them in an application you are deploying, but to create them requires running base64 a couple of times. We can write a helper template to compose the Docker configuration file for use as the Secret’s payload. Here is an example:
First, assume that the credentials are defined in the values.yaml
file like so:
imageCredentials:
registry: quay.io
username: someone
password: sillyness
We then define our helper template as follows:
{{- define "imagePullSecret" }}
{{- printf "{\"auths\": {\"%s\": {\"auth\": \"%s\"}}}" .Values.imageCredentials.registry (printf "%s:%s" .Values.imageCredentials.username .Values.imageCredentials.password | b64enc) | b64enc }}
{{- end }}
Finally, we use the helper template in a larger template to create the Secret manifest:
apiVersion: v1
kind: Secret
metadata:
name: myregistrykey
type: kubernetes.io/dockerconfigjson
data:
.dockerconfigjson: {{ template "imagePullSecret" . }}
Often times configmaps or secrets are injected as configuration files in containers. Depending on the application a restart may be required should those be updated with a subsequent helm upgrade
, but if the deployment spec itself didn’t change the application keeps running with the old configuration resulting in an inconsistent deployment.
The sha256sum
function can be used to ensure a deployment’s annotation section is updated if another file changes:
kind: Deployment
spec:
template:
metadata:
annotations:
checksum/config: {{ include (print $.Template.BasePath "/configmap.yaml") . | sha256sum }}
[...]
See also the helm upgrade --recreate-pods
flag for a slightly different way of addressing this issue.
Sometimes there are resources that should not be deleted when Helm runs a helm delete
. Chart developers can add an annotation to a resource to prevent it from being deleted.
(Quotation marks are required)
The annotation "helm.sh/resource-policy": keep
instructs Tiller to skip this resource during a helm delete
operation. However, this resource becomes orphaned. Helm will no longer manage it in any way. This can lead to problems if using helm install --replace
on a release that has already been deleted, but has kept resources.
Sometimes you want to create some reusable parts in your chart, whether they’re blocks or template partials. And often, it’s cleaner to keep these in their own files.
In the templates/
directory, any file that begins with an underscore(_
) is not expected to output a Kubernetes manifest file. So by convention, helper templates and partials are placed in a _helpers.tpl
file.
Many of the charts in the official charts repository are “building blocks” for creating more advanced applications. But charts may be used to create instances of large-scale applications. In such cases, a single umbrella chart may have multiple subcharts, each of which functions as a piece of the whole.
The current best practice for composing a complex application from discrete parts is to create a top-level umbrella chart that exposes the global configurations, and then use the charts/
subdirectory to embed each of the components.
Two strong design patterns are illustrated by these projects:
SAP’s OpenStack chart: This chart installs a full OpenStack IaaS on Kubernetes. All of the charts are collected together in one GitHub repository.
Deis’s Workflow: This chart exposes the entire Deis PaaS system with one chart. But it’s different from the SAP chart in that this umbrella chart is built from each component, and each component is tracked in a different Git repository. Check out the requirements.yaml
file to see how this chart is composed by their CI/CD pipeline.
Both of these charts illustrate proven techniques for standing up complex environments using Helm.
According to the YAML specification, YAML is a superset of JSON. That means that any valid JSON structure ought to be valid in YAML.
This has an advantage: Sometimes template developers may find it easier to express a datastructure with a JSON-like syntax rather than deal with YAML’s whitespace sensitivity.
As a best practice, templates should follow a YAML-like syntax unless the JSON syntax substantially reduces the risk of a formatting issue.
There are functions in Helm that allow you to generate random data, cryptographic keys, and so on. These are fine to use. But be aware that during upgrades, templates are re-executed. When a template run generates data that differs from the last run, that will trigger an update of that resource.
In order to use the same command when installing and upgrading a release, use the following command:
helm upgrade --install <release name> --values <values file> <chart directory>


Swing-based view classes for an experimental model-view-controller framework.
These use the {@link gnu.kawa.models models} package.


Home Display Technologies Driver Technologies Control Protocols Display Libraries for Arduino TFT LCD Examples OLED Examples ePaper Examples 8x8 LED Matrix examples QR Code Examples Inventory


Garden State Frogs is a poison dart frog breeder, specializing in Ranitomeya. We are also a supplier of feeder insects and dry goods for terrariums. Feel free to contact us for current availability and shipping rates within the Continental US!
We are proud to say that all of our Ranitomeya morphs are bred in-house.
We sell a variety of springtails, isopods, and wingless fruit flies.
We offer various substrate materials including ABG, orchid bark, leaves, and more.


{% extends 'contents/_base/events.html' %} {% load static %} {% block title %}BoF{% endblock %} {% block page_title %}
Registration starts from now! This year, BoF is at the end of 2nd conference day (Jun 4).
According to Wikipedia, BoF is derived from the proverb “Birds of a feather flock together.” A BoF session is an informal meeting at conferences, where the attendees group together based on a shared interest and carry out discussions without any pre-planned agenda.
Do you want to share ideas and creative projects with others at PyCon TW? Everyone is welcomed to join the PyConTW 2016 BoF. Let us implement the future, together!
Any topic related to Python and PyCon is appreciated during BoF. Feel free to raise your own topic. We also provide an abundant supply of food!
You can register as a host, and bring new or funny projects—fighting robots, LED control system, lighting, sound system, etc. If you find no time to prepare a project, you are also welcomed to sing a song, play some guitar, or anything.
It is also great to just be an audience. Seize this opportunity to make friends, broaden your horizons, or recruit volunteers! Welcome to BoF!
If you are willing to be a host at BoF, please send email to<EMAIL_ADDRESS>with the following information:


| Fig 1 |
The topography of the CONUS in GFDL-ESM2M (left) and in CanE ... |
| Fig 2 |
Historical mean E 0 across the different E 0 formulations. C ... |
| Fig 3 |
Historical coefficient of variation across the different E 0 ... |
| Fig 4 |
Projected changes (%) in E 0 by 2050 across the different E ... |
| Fig 5 |
21 st century trends in E 0 across the different E 0 formula ... |
| Fig 6 |
Same as Fig 5 but using only the Penman-Monteith formulation ... |
| Fig 7 |
21 st century trends in EDDI and SPEI. Comparison of 12-week ... |
| Fig 8 |
Uncertainties in changing drought risk by 2050 based on E 0 ... |


| Type | Owned | Name | Value | Cost | |
|---|---|---|---|---|---|
| Pottery | 45 | 45 | |||
| Cloth Making | 45 | 45 | |||
| Metalworking | 80 | 80 | |||
| Agriculture | 110 | 110 | |||
| Roadbuilding | 140 | ||||
| Mining | 180 | ||||
| Engineering | 140 | 140 | |||
| Astronomy | 80 | 80 | |||
| Coinage | 110 | 110 | |||
| Medicine | 140 | 140 | |||
| Mathematics | 230 | 230 | |||
| Drama & Poetry | 60 | 60 | |||
| Music | 60 | 60 | |||
| Architecture | 120 | 120 | |||
| Literacy | 110 | 110 | |||
| Military | 180 | 180 | |||
| Law | 170 | 170 | |||
| Democracy | 200 | ||||
| Philosophy | 240 | ||||
| Mysticism | 50 | 50 | |||
| Deism | 80 | 80 | |||
| Enlightenment | 150 | 150 | |||
| Monotheism | 220 | ||||
| Theology | 250 | ||||
| Total Owned | 0 |
Civilization © 1998 - Hasbro, Inc.
Advanced Civilization © 1991 - Avalon Hill

© 2015 Snorlag724 - License
Powered by Bootstrap.


{{ partial "head.html" . }}
{{ partial "top.html" . }} {{ partial "nav.html" . }}
{{ partial "carousel.html" . }}
{{ partial "video.html" . }}
{{ partial "features.html" . }} {{ partial "page.html" . }} {{ partial "testimonials.html" . }} {{ partial "see_more.html" . }} {{ partial "promotion.html" . }} {{ partial "recent_posts.html" . }} {{ partial "clients.html" . }} {{ partial "footer.html" . }}
{{ partial "scripts.html" . }}


JavaScript files are saved with a .js extension. After creating a JavaScript file, you also have to link to that file in every HTML page you want your file to run on.


Blackfalds RCMP remind motorists to slow down on icy roads
Area highways are icy and not in good shape for travel
by Lacombe Express StaffThe RCMP are warning motorists that travellers in and around the Blackfalds and Red Deer area need to be mindful of road conditions. Area highways are icy and not in good shape for travel.
Slow down, drive for conditions and check 511 Alberta to review your route.


Preface
We focus on:
1) classifying the new questions by the vector similarity matching based on univeral sentence encoder;
2) constructure of the Template Bank.
1. Templates Matching
1.1 Universal Sentence Encoder
Why we need it?
Considering the great human efforts we have expended in manually composing the templates, we believe we can make better use of them for generating more new templates,
- for example, when we see these two questions,
who is the wife of Obama?
and who is the spouse of Obama?
actually, they can be represented by the same query for the same semantic meaning.
Then, how to accomplish the semantic searching?
Yes, we can use the similarity of embedding vectors by the Universal Sentence Encoder.
The Universal Sentence Encoder [1] encodes text into vectors of high dimensions that can be used in classifying documents, calculating semantic similarity, topics clustering, and more other natural language processing tasks. With Tensorflow-hub, we deploy the Universal Sentence Encoder to calculate the similarity between the new question and the existing templates to do the matching task.
The encoder part comes with two variant options, one with Transformer [2] encoder and the other with Deep Averaging Network (DAN) [3]. Both having a necessity for precision and computational resource trading, while the one with the Transformer encoder is of higher accuracy at a cost of computing, it is more intensive in computational terms. And, the other with DNA encoding is less costly computationally but with less precision.
Here we use the Transformer-based sentence embedding to match the question and its closet template.
Example,
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_2 (InputLayer) (None, 512) 0
__________________________________________________________________________________________________
input_3 (InputLayer) (None, 512) 0
__________________________________________________________________________________________________
model_1 (Model) (None, 512) 262656 input_2[0][0]
input_3[0][0]
__________________________________________________________________________________________________
lambda_1 (Lambda) (None, 512) 0 model_1[1][0]
model_1[2][0]
__________________________________________________________________________________________________
dense_2 (Dense) (None, 1) 513 lambda_1[0][0]
==================================================================================================
Total params: 263,169
Trainable params: 263,169
Non-trainable params: 0
__________________________________________________________________________________________________
So, if we compare who is the wife of Obama?
and who is the spouse of Obama?
, they would be classified into the same semantic meaning by setting the threshold similarity score.
However, when we faced who is the father of Obama?
and who is the spouse of Obama?
, the difference will be shown in the similarity score. If the threshold is lower than what’s required, we call the template composing function then.
1.2 Preprocesing
The templateset must first be filtered out the stop-words, the punctuations, and then turn into lower case for data regularization.
1.3 Detecting The Class Of The Question
We use the DBpedia Spotlight API to detect the belonging class of the noun subject in the question, which helps to classify the question into its correspondent templateset.
Why it’s necessary? Because, the sentences get confused or not depends on how close the two classes that they belong to, like the dbo:SportsLeague and dbo:Monument, their topics are not so similar, so they’re not easy to get confused, but when I took the
dbo:Place versus dbo:Monument, the "dbo:Place;;;what is the address of <X>;
and the
dbo:Monument;;;what is the location of <A>;
this case could be easily confused.
In human concepts, the “address” and the “location” might holding the same meaning, while it is not that case in knowledge graph of DBpedia:
dbo:Place;;;what is the address of <X>;SELECT ?x WHERE { <X> <http://dbpedia.org/ontology/address> ?x };SELECT ?a WHERE { ?a <http://dbpedia.org/ontology/address> [] . ?a a <http://dbpedia.org/ontology/Place> }
dbo:Monument;;;what is the location of <A>;select ?a where { <A> dbo:location ?a };select distinct(?a) where { ?a dbo:location [] }
So, for promising the accuracy, we should classify the Classes before matching, like, before classifying these two above, we first classify the new question into a Class then conduct the matching.
It’s not so straightforward that it requires to find the entity type first:
Statue of Liberty --> Place or Monument
However, not every entity belongs to a single upper Class. Some certain entities might belong to multiple Classes, like in
"which television show were created by joe austen?"
the
"joe austen"
is annotated as
"dbr:Joe_Austen"
with three upper Classes,
dbo:Person, dbo:Artist, dbo:Agent,
and the Spotlight can also indicate the most probable Class in this context is the “dbo:Person” in the return. So, to know to which Class it belongs, we can respectively fetch their lists of properties that its three upper Classes have, and see in which list of properties the predicate exists.
1.4 Semantic Searching
How do we use the Universal Sentence Encoder to build the Semantic Searching?
Given the detected Class and its belonging templateset, we can use the similarity searching function to get the matched template for the question:
def semantic_search(query, texts_processed, vectors):
query = preprocess_text(query)
print("\n Extracting features...")
query_vec = get_features(query)[0].ravel()
res = []
for i, d in enumerate(texts_processed):
qvec = vectors[i].ravel()
sim = cosine_similarity(query_vec, qvec)
res.append((sim, d[:100], i))
sorted(res, key=lambda x : x[0], reverse=True) # Sorting for getting the most matched one.
return res[0] ;
res = semantic_search("This is a new sentence. ", texts_processed, BASE_VECTORS)
2. Templates Bank
2.1 The Directory For The Bank
-- Bank
-- Class 0
-- class0.csv
-- class0.vectors
-- Class 1
-- class1.csv
-- class1.vectors
-- Class 2
-- class2.csv
-- class2.vectors
-- Class ...
In this directory, the Bank consists of the Classes of DBpedia ontologies, and each Class has its own folder. Its folder contains the templateset CSV and its sentences vectors set.
We use this function to see the existing Classes,
import csv
import pickle
import os
path = "../data/Bank" #the Bank directory is located in the neural-qa/data
files= os.listdir(path) #to get all the files/folders names in the dir
templates_pool = []
for file in files: #iterate to get the folders
if os.path.isdir(path+"/"+file): # whether a folder
templates_pool.append(file) #get the folder into the templates_pool list
print('\n The existing templates pool contains these Classes: \n ', s) #display the result
2.2 Allocation To The Matched Class Folder
From the templates_pool above, we can check whether the Class is existing in the Bank category.
Then, we can load the correspondent templateset and vectors.
Referrences
[1] D Cer et al. 2018 Universal Sentence Encoder
[2] A Vaswani 2017 Attention Is All You Need
[3] Mohit Iyyer 2015 Deep Averaging Networks


| Header Name | Description | Required |
|---|---|---|
| X-Auth-Token | The API key supplied to you by Balihoo | Yes |
| Parameters | Resulting Action | Example URI |
|---|---|---|
| None | All contacts are returned | http://clm.balihoo.com/contact |
| Contact ID | Only the requested contact is returned, if found. | http://clm.balihoo.com/contact/4da4ca854fae881d3b0000a6 |
| "status" and batch ID | The status of the given batch is returned. Returns "completed" if the batch is not found to be running. | http://clm.balihoo.com/contact/status/4da4ca854fae881d3b0000a6 |
| Parameters | Resulting Action | Example URI |
|---|---|---|
| Contact ID | Deletes the contact matching the given ID, if found. | http://clm.balihoo.com/contact/4da4ca854fae881d3b0000a6 |
| Parameters | Resulting Action |
|---|---|
|
command=load contacts=[JSON Encoded Array of Contacts] |
Queues the given contacts for loading into your contact database. A Batch ID is returned that can be used to query the status of the loading process. |
|
command=count [optional]query=[JSON Encoded query] [optional]view=[Email|DirectMail|MainPhone|MobilePhone] |
Returns a count of contacts matching the given query and distinct to the given view. |
|
command=count [optional]query=[JSON Encoded query] [optional]view=[Email|DirectMail|MainPhone|MobilePhone] |
Returns a JSON encoded array of the contacts matching the given query and distinct to the given view. If two or more contacts are considered equal in the current view, the contact last updated will be returned. |


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