spocc
= SPecies OCCurrence data
At rOpenSci, we have been writing R packages to interact with many sources of species occurrence data, including GBIF, Vertnet, BISON, iNaturalist, the Berkeley ecoengine, AntWeb, and eBird. Other databases are out there as well, which we can pull in. spocc
is an R package to query and collect species occurrence data from many sources. The goal is to to create a seamless search experience across data sources, as well as creating unified outputs across data sources.
spocc
currently interfaces with ten major biodiversity repositories
Global Biodiversity Information Facility (GBIF) (via rgbif
) GBIF is a government funded open data repository with several partner organizations with the express goal of providing access to data on Earth’s biodiversity. The data are made available by a network of member nodes, coordinating information from various participant organizations and government agencies.
Berkeley Ecoengine (via ecoengine
) The ecoengine is an open API built by the Berkeley Initiative for Global Change Biology. The repository provides access to over 3 million specimens from various Berkeley natural history museums. These data span more than a century and provide access to georeferenced specimens, species checklists, photographs, vegetation surveys and resurveys and a variety of measurements from environmental sensors located at reserves across University of California’s natural reserve system.
iNaturalist iNaturalist provides access to crowd sourced citizen science data on species observations.
VertNet (via rvertnet
) Similar to rgbif
, ecoengine, and rbison
(see below), VertNet provides access to more than 80 million vertebrate records spanning a large number of institutions and museums primarly covering four major disciplines (mammology, herpetology, ornithology, and icthyology). Note that we don’t currenlty support VertNet data in this package, but we should soon
Biodiversity Information Serving Our Nation (via rbison
) Built by the US Geological Survey’s core science analytic team, BISON is a portal that provides access to species occurrence data from several participating institutions.
eBird (via rebird
) ebird is a database developed and maintained by the Cornell Lab of Ornithology and the National Audubon Society. It provides real-time access to checklist data, data on bird abundance and distribution, and communtiy reports from birders.
AntWeb (via AntWeb
) AntWeb is the world’s largest online database of images, specimen records, and natural history information on ants. It is community driven and open to contribution from anyone with specimen records, natural history comments, or images.
iDigBio (via ridigbio
) iDigBio facilitates the digitization of biological and paleobiological specimens and their associated data, and houses specimen data, as well as providing their specimen data via RESTful web services.
OBIS OBIS (Ocean Biogeographic Information System) allows users to search marine species datasets from all of the world’s oceans.
Atlas of Living Australia ALA (Atlas of Living Australia) contains information on all the known species in Australia aggregated from a wide range of data providers: museums, herbaria, community groups, government departments, individuals and universities; it contains more than 50 million occurrence records.
The inspiration for this comes from users requesting a more seamless experience across data sources, and from our work on a similar package for taxonomy data (taxize).
BEWARE: In cases where you request data from multiple providers, especially when including GBIF, there could be duplicate records since many providers’ data eventually ends up with GBIF. See ?spocc_duplicates
, after installation, for more.
See CONTRIBUTING.md
Stable version from CRAN
install.packages("spocc", dependencies = TRUE)
Or the development version from GitHub
install.packages("devtools")
devtools::install_github("ropensci/spocc")
library("spocc")
Get data from GBIF
(out <- occ(query = 'Accipiter striatus', from = 'gbif', limit = 100))
#> Searched: gbif
#> Occurrences - Found: 617,957, Returned: 100
#> Search type: Scientific
#> gbif: Accipiter striatus (100)
Just gbif data
out$gbif
#> Species [Accipiter striatus (100)]
#> First 10 rows of [Accipiter_striatus]
#>
#> # A tibble: 100 × 63
#> name longitude latitude prov issues key
#> <chr> <dbl> <dbl> <chr> <chr> <int>
#> 1 Accipiter striatus -97.12924 32.70085 gbif cdround,gass84<PHONE_NUMBER>
#> 2 Accipiter striatus -84.74625 40.01773 gbif cdround,gass84<PHONE_NUMBER>
#> 3 Accipiter striatus -72.58904 43.85320 gbif cdround,gass84<PHONE_NUMBER>
#> 4 Accipiter striatus -96.77096 33.22315 gbif cdround,gass84<PHONE_NUMBER>
...
Get fine-grained detail over each data source by passing on parameters to the packge rebird in this example.
(out <- occ(query = 'Setophaga caerulescens', from = 'ebird', ebirdopts = list(region = 'US')))
#> Searched: ebird
#> Occurrences - Found: 0, Returned: 199
#> Search type: Scientific
#> ebird: Setophaga caerulescens (199)
Just ebird data
out$ebird
#> Species [Setophaga caerulescens (199)]
#> First 10 rows of [Setophaga_caerulescens]
#>
#> # A tibble: 199 × 12
#> name longitude latitude prov
#> <chr> <dbl> <dbl> <chr>
#> 1 Setophaga caerulescens -81.74960 24.57340 ebird
#> 2 Setophaga caerulescens -82.50378 27.31897 ebird
#> 3 Setophaga caerulescens -82.81150 27.83556 ebird
#> 4 Setophaga caerulescens -93.94818 29.69841 ebird
...
Get data from many sources in a single call
ebirdopts = list(region = 'US'); gbifopts = list(country = 'US')
out <- occ(query = 'Setophaga caerulescens', from = c('gbif','bison','inat','ebird'), gbifopts = gbifopts, ebirdopts = ebirdopts, limit = 50)
dat <- occ2df(out)
head(dat); tail(dat)
#> # A tibble: 6 × 6
#> name longitude latitude prov date key
#> <chr> <chr> <chr> <chr> <date> <chr>
#> 1 Setophaga caerulescens -122.673863 45.476817 gbif 2017-01-09<PHONE_NUMBER>
#> 2 Setophaga caerulescens -83.035698 35.431075 gbif 2016-04-25<PHONE_NUMBER>
#> 3 Setophaga caerulescens -83.162943 41.615537 gbif 2016-05-12<PHONE_NUMBER>
#> 4 Setophaga caerulescens -74.405661 40.058324 gbif 2016-05-20<PHONE_NUMBER>
#> 5 Setophaga caerulescens -83.449402 44.252577 gbif 2016-05-14<PHONE_NUMBER>
#> 6 Setophaga caerulescens -83.449517 44.253819 gbif 2016-05-07<PHONE_NUMBER>
#> # A tibble: 6 × 6
#> name longitude latitude prov date key
#> <chr> <chr> <chr> <chr> <date> <chr>
#> 1 Setophaga caerulescens -82.8282344 27.8851167 ebird 2017-04-18 L3547190
#> 2 Setophaga caerulescens -82.64435 27.532639 ebird 2017-04-18 L189003
#> 3 Setophaga caerulescens -81.7713915 26.1084774 ebird 2017-04-18 L2603780
#> 4 Setophaga caerulescens -84.8486335 29.671734 ebird 2017-04-18 L352112
#> 5 Setophaga caerulescens -80.7833333 33.7833333 ebird 2017-04-18 L109521
#> 6 Setophaga caerulescens -81.9212021 26.746724 ebird 2017-04-17 L3579621
All mapping functionality is now in a separate package mapr (formerly known as spoccutils
), to make spocc
easier to maintain. On CRAN.
spocc
in R doing citation(package = 'spocc')


{% extends 'base.html' %} {% block content %}
I was feeling pretty mean, and I decided to use the same old table as before, but make it especially horrid. If you view source, you'll see that it is rendered in Javascript. Not only that, but it is rendered in obfuscated JavaScript.
Scraping this will not be easy.
 You've got enough to be getting on with already! Your challenge is to work out how to scrape it.
Hint: Selenium is your friend.


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/Eliminating.20into.20Prop.20woes.html ---
I have defined the following
import algebra.archimedean def pow_two_near (n : ℤ) : (n > 1) → ∃ k : ℕ, (2 ^ k ≤ n ∧ n < 2^(k+1)) := by intro h ; exact (exists_nat_pow_near h one_lt_two)
Is there any way to get ahold of the k
without doing this?
noncomputable def index_pow_two_near (n : ℤ) (h : n > 1) : ℕ := classical.some $ pow_two_near n h
If I try to destruct the exists
I get an error:
def index_pow_two_near' (n : ℤ) (h : n > 1) : ℕ := begin have h := pow_two_near n h, cases h, --induction tactic failed, recursor 'Exists.dcases_on' can only eliminate into Prop end
@Koundinya Vajjha Try choose k hk using h
.
Thanks Johan
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Bayelsa election results manipulated during collation - YIAGA
by QueenEsther IroanusiYIAGA Africa, a public policy think-tank, has said the result of the Bayelsa governorship election was manipulated at the collation process.
This, the group said, is because INEC’s result does not fall within the estimates of its Parallel Vote Tabulation (PVT).
The PVT, according to the group, is a proven and advanced observation methodology that employs well-established statistical principles and utilises sophisticated information technologies.
YIAGA adopted the PVT methodology for election day observation at the polling units – which provided timely and accurate information on the conduct of accreditation, voting, and counting as well as independently verified the official governorship results as announced by the INEC.
INEC had announced David Lyon of the All Progressives Congress (APC) governorship as the winner of the election.
Mr Lyon polled 352,552 votes to defeat Duoye Diri of the Peoples Democratic Party (PDP) who polled 143, 172 votes.
READ ALSO: KogiDecides: Vote buying rampant in Lokoja
YIAGA, however, said the results announced by INEC are not consistent with the PVT estimates.
“INEC announced 352,552 votes or 71% for APC and 143,172 or 29% votes for PDP. These results are not consistent with the PVT estimates of between 62% and 46% for APC and 52% and 37% for PDP.
“This suggests that the results were manipulated during the collation process. If the tabulation process had been conducted properly then INEC’s official results would fall within the PVT estimates,” part of its statement read.
High Percentage of Polling Units with no Election.
YIAGA said its data shows that election was not conducted in 24 per cent (61 of 250) of its sampled polling units.
This incident was more prevalent in 28 polling units in Southern Ijaw LGA, 11 polling units in Ogbia LGA, nine polling units in Ekeremor LGA, seven polling units in Nembe LGA, five in Sagbama LGA and one in Yenagoa LGA of the PVT sampled polling units. Statewide, this data suggests that elections may not have been held in several hundred polling units, thereby seriously compromising the rights of people of Bayelsa to freely determine for themselves their elected governor, the group said.
| Table 1: Distribution of Bayelsa Polling Units that Did Not Conduct Elections | ||||||
|
LGA |
PVT Sample | PVT Sample with No Elections | Percent PVT Sample with No Elections | |||
| Polling Units | Registered Voters | Polling Units | Registered Voters | Percent Polling Units | Percent Registered Voters | |
| Brass | 22 | 9,975 | 0 | 0 | 0% | 0% |
| Ekeremor | 27 | 14,812 | 9 | 5,798 | 33% | 39% |
| Kolokuma/Opokuma | 20 | 7,926 | 0 | 0 | 0% | 0% |
| Nembe | 28 | 11,744 | 7 | 2,716 | 25% | 23% |
| Ogbia | 36 | 12,922 | 11 | 3,572 | 18% | 28% |
| Sagbama | 28 | 16,568 | 5 | 2,632 | 18% | 16% |
| Southern Ijaw | 59 | 22,347 | 28 | 10,342 | 47% | 46% |
| Yenagoa | 30 | 30,205 | 1 | 550 | 3% | 2% |
| Total | 250 | 126,499 | 61 | 25,610 | 24% | 20% |
| Source: YIAGA AFRICA |
INEC Official Results
Despite the announcement of results by INEC, YIAGA said the PVT is not able to independently verify, regardless of the outcome, who won the Bayelsa gubernatorial election because elections did not occur in 61 of 250, or approximately 24 per cent, of sampled polling units.
“However, the PVT is still able to determine if the collation process was conducted properly and expose manipulation during the collation process. If the official results as announced fall outside of the PVT estimated range, then the results have been manipulated during the collation process.”
The group further said the most significant manipulation of the collation process was for Southern Ijaw local government.
According to YIAGA, INEC’s official result for APC is 124,803 votes or 96 per cent while the PVT estimates the maximum vote share possible is 80 per cent. At the same time, INEC’s official result for PDP is 4,989 or 4 per cent while the PVT estimates the minimum vote share possible is 16 per cent.
“As noted above, 46 per cent of PVT sampled polling units in Southern Ijaw held no election, suggesting that up to half of all polling units in the LGA did not open. However, INEC announced that a total of 130,121 votes were cast in Southern Ijaw out of 165,449 registered voters for a turnout of 79 per cent. This is not possible given the widespread failure of polling units to hold elections across the LGA,” it stated.
The group, therefore, questioned the credibility of the results announced by INEC. It maintained that while the PVT cannot determine who has won the governorship election for Bayelsa, the PVT estimates suggests that the official results were manipulated during the collation process.
YIAGA called on INEC to conduct an inclusive, transparent and accountable audit of the Bayelsa gubernatorial results that involves political parties and civil society.
“The audit must include identifying all polling units that had no election on November 16 so that new elections can be held for those polling units and must re-collate the results for those polling units that did hold elections on November 16 so that the correct partial results can be determined,” it said.
“Those found responsible, from INEC, political parties, security agencies, or any other body, for either preventing a polling unit from opening or manipulating the results during the collation process must be held accountable and brought to book. The culture of impunity in Nigeria must end.
“Further, Nigeria needs to retool her legal framework to address the duality of jurisdiction of courts and timeline for the determination of pre-election cases.
“This is a call to President Buhari to prove to Nigerians that he is committed to electoral reform and leave a legacy of reforms that ends electoral impunity, strengthens democratic institutions and deepen the culture of democratic accountability.”


How many prints? ($50 each): How many commission pieces? ($200 each): Collection book $300 Reproduction rights for all commissions $2000


| Total net profit | -7.8 | Gross profit | 6.92 | Gross loss | -14.72 |
| Profit factor | 0.47 | Expected payoff | -0.65 | ||
| Absolute drawdown | -9.57 | Maximal drawdown (%) | 6.91 (-259.77%) | ||
| Total trades | 12 | Profit trades (% of total) | 6 (50.0%) | Loss trades (% of total) | 6 (50.0%) |
| Long positions (won %) | 7 (42.86%) | Short positions (won %) | 5 (60.0%) | ||
| Largest | profit trade | 2.89 | loss trade | -2.66 | |
| Average | profit trade | 1.15 | loss trade | -2.45 | |
| Minimum | profit trade | 0.02 | loss trade | -1.99 | |
| Maximum | take profit in pips | 67.6 | stop loss in pips | -41.1 | |
| Average | take profit in pips | 26.3 | stop loss in pips | -32.0 | |
| Minimum | take profit in pips | 0.1 | stop loss in pips | -25.5 | |
| Maximum | Reward-Risk | 2.0 | Duration in minutes | 572 | |
| Average | Reward-Risk | 0.9 | Duration in minutes | 162.6 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 12 | |
| Maximum | consecutive wins (profit in money) | 4.0 (3.17) | consecutive losses (loss in money) | 3.0 (-7.81) | |
| Average | consecutive wins | 2.0 | consecutive losses | 1.0 |
| Total net profit | -6.66 | Gross profit | 3.77 | Gross loss | -10.43 |
| Profit factor | 0.36 | Expected payoff | -0.95 | ||
| Absolute drawdown | -9.57 | Maximal drawdown (%) | 6.91 (-259.77%) | ||
| Total trades | 7 | Profit trades (% of total) | 3 (42.86%) | Loss trades (% of total) | 4 (57.14%) |
| Largest | profit trade | 2.89 | loss trade | -2.66 | |
| Average | profit trade | 1.26 | loss trade | -2.61 | |
| Minimum | profit trade | 0.02 | loss trade | -2.56 | |
| Maximum | take profit in pips | 67.6 | stop loss in pips | -41.1 | |
| Average | take profit in pips | 27.9 | stop loss in pips | -35.1 | |
| Minimum | take profit in pips | 0.1 | stop loss in pips | -32.4 | |
| Maximum | Reward-Risk | 2.0 | Duration in minutes | 572.0 | |
| Average | Reward-Risk | 0.8 | Duration in minutes | 215.9 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 12.0 | |
| Maximum | consecutive wins (profit in money) | 2.0 (2.91) | consecutive losses (loss in money) | 3.0 (-7.81) | |
| Average | consecutive wins | 1.0 | consecutive losses | 2.0 |
| Total net profit | -1.14 | Gross profit | 3.15 | Gross loss | -4.29 |
| Profit factor | 0.73 | Expected payoff | -0.23 | ||
| Absolute drawdown | -2.3 | Maximal drawdown (%) | 1.99 (234.12%) | ||
| Total trades | 5 | Profit trades (% of total) | 3 (60.0%) | Loss trades (% of total) | 2 (40.0%) |
| Largest | profit trade | 1.42 | loss trade | -2.3 | |
| Average | profit trade | 1.05 | loss trade | -2.15 | |
| Minimum | profit trade | 0.84 | loss trade | -1.99 | |
| Maximum | take profit in pips | 53.2 | stop loss in pips | -30.0 | |
| Average | take profit in pips | 24.1 | stop loss in pips | -27.7 | |
| Minimum | take profit in pips | 11.2 | stop loss in pips | -25.5 | |
| Maximum | Reward-Risk | 2.0 | Duration in minutes | 301.0 | |
| Average | Reward-Risk | 0.9 | Duration in minutes | 88.0 | |
| Minimum | Reward-Risk | Duration in minutes | 20.0 | ||
| Maximum | consecutive wins (profit in money) | 3.0 (3.15) | consecutive losses (loss in money) | 1.0 (-2.3) | |
| Average | consecutive wins | 3.0 | consecutive losses | 1.0 |


Bromo
Let’s go hiking together
Loading app
4
Timeline
Faiz Al-Qurni
Malang, Indonesia
Mt. Bromo volcano in East Java is the active cone inside the giant Tengger caldera, one of Indonesia's most scenic locations destination in East Java.
+20
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182 comments


Files CCore/inc/TextTools.h CCore/src/TextTools.cpp
This header contains several simple tools to work with text and characters.
bool CharIsEOL(OneOfTypes<char,Char> ch) { return ch=='\r' || ch=='\n' ; } bool CharIsBin(OneOfTypes<char,Char> ch); bool CharIsDec(OneOfTypes<char,Char> ch); bool CharIsHex(OneOfTypes<char,Char> ch); int CharBinValue(OneOfTypes<char,Char> ch);
CharIsEOL() — end-of-line character, one of '\n' or '\r'.
CharIsBin() — char is a binary digit.
CharIsDec() — char is a decimal digit.
CharIsHex() — char is a hexadecimal digit.
CharBinValue() — binary value of the character, or -1 if is not a binary digit.
void AllChars(FuncArgType<char> func);
AllChars() calls the given functor for all 256 values of char.
This class represents a text position. It also counts a new text position after some text fragment. It is designed to calculate text positions during a text file processing. This class counts all cases "\r", "\n", "\r\n" as a line delimiters.
struct TextPos
{
ulen line;
ulen col;
TextPos() : line(1),col(1) {}
void nextPos() { col++; }
void nextLine() { col=1; line++; }
void update(ulen len) { col+=len; }
void update(StrLen text); // must not break "\r\n"
void print(PrinterType &out) const;
};
Default constructor sets the initial text position: line is 1 and col is 1.
nextPos() moves to the next position in the same line.
nextLine() moves to the begin of the next line.
update() moves on len positions at the same line.
update() moves by the text fragment. The fragment must not break a sequence "\r\n". In UTF8-compatible mode the number of symbols is used to determine the column, not the number of bytes.
The class is printable in the form "(line=<line>,col=<col>)".
This class counts the TextPos over a character stream.
class TextPosCounter : NoCopy
{
TextPos pos;
....
public:
TextPosCounter();
operator TextPos() const { return pos; }
void reset();
void put(char ch);
void put(char ch,ulen len);
void put(const char *str,ulen len);
};
reset() resets the class to the initial state.
Methods put() are used to feed the class by characters.
You may retrieve the current text position by the casting to the TextPos type.
CharPropTable is a Partial class. It is a look-up table, which sets a value (character class) to each character. A derived class must initialize the table using protected methods.
template <class CharClass,CharClass DefaultClass>
class CharPropTable : NoCopy
{
CharClass table[256];
protected:
void set(char ch,CharClass cc);
void setSet(const char *zstr,CharClass cc);
void setIf(FuncType<bool,char> cond,CharClass cc);
public:
CharPropTable();
CharClass operator [] (char ch) const;
};
CharClass is a value type, enum type is expected. DefaultClass is a default value, assigned to each character. Constructor initializes the table assigning the DefaultClass to each character.
operator [] returns a value, assigned to the particular character.
A derived class can use the set of protected members to initialize the table.
set() sets the given value to the given character.
setSet() sets the given value to the set of characters from the given zero-terminated string.
setIf() sets the given value to characters, satisfied the condition, given as a functor-predicate.


In addition to the calculated monthly payments, annual percentage rate (APR) offers a good apples-to-apples comparison between loans. APR takes into account the varying discount points, closing costs and fees that are typically added into the loan amount and financed over the term of the loan. If the fees are paid "out-of-pocket" then the APR will be the same as the stated interest rate. Use this calculator to help determine the best loan option for you.
In addition to the calculated monthly payments, annual percentage rate (APR) offers a good apples-to-apples comparison between loans. APR takes into account the varying discount points, closing costs and fees that are typically added into the loan amount and financed over the term of the loan. If the fees are paid "out-of-pocket" then the APR will be the same as the stated interest rate. Use this calculator to help determine the best loan option for you.

Our mortgage loan calculators were designed to help you become better informed about all of your choices so you can shop smarter. View more calculators.
Have questions? Want to learn more about home loans? Contact us online or call<PHONE_NUMBER>.


My Stuff:
1 Small Fish (0 Hungry)
Makes 1 Coin/s (0 Coin/s total)
Eats 1 Food/s (0 Food/s total)
Uses 1 Space (1 Space total)
Sell Small Fish:
0.5 return value on sales
1 Medium Fish (0 Hungry)
Makes 30 Coin/s (0 Coin/s total)
Eats 1 Small Fish/s (0 Small Fish/s total)
Uses 2 Space (0 Space total)
Sell Medium Fish:
0.5 return value on sales
1 Big Fish (0 Hungry)
Makes 900 Coin/s (0 Coin/s total)
Eats 1 Medium Fish/s (0 Medium Fish/s total)
Uses 3 Space (0 Space total)
Sell Big Fish:
0.5 return value on sales
1 Aquariums
Provides 500 Space (1 used / 100 total)
0.5 return value on sales
0 Fish Food Farms
Makes 5 Food/s (0 Food/s total)
Sell Farms:
0.5 return value on sales
0 Small Fish Hatcheries
Makes 1 Small Fish/s (0 Small Fish/s total)
Sell Hatcheries:
0.5 return value on sales
0 Medium Fish Hatcheries
Makes 1 Medium Fish/s (0 Medium Fish/s total)
Sell Hatcheries:
0.5 return value on sales
0 Big Fish Hatcheries
Makes 1 Big Fish/s (0 Big Fish/s total)
Sell Hatcheries:
0.5 return value on sales
0 Aquarium Factories
Makes 1 Aquarium Factory/s (0 Aquarium Factories/s total)
Sell Factories:
0.5 return value on sales
0 Banks
Buys/Sells up to 10 Items/s (up to 0 Items/s total)
Sell Fish:
/s
/s
Currently selling 0 fish/s
Buy Buildings:
/s
/s
/s
/s
Currently buying 0 buildings/s
Sell All:
0 Penguins (0 Hungry)
Makes 1 Snowflakes/min (0 Snowflakes/min total).
Snowflakes multiply the amount of coins your fish earn.
Eats 100 Big Fish/s (0 Big Fish/s total)
Uses 10000 Space (0 Space total)
Snowflake Progress (first 10 penguins only):
Sell Penguins:
1 snowflake per returned penguin
0 Penguin Hatcheries
Makes 1 Penguins/min (0 Penguins/min total)
Sell Hatcheries:
100 snowflakes per returned penguin hatchery
0 Snow Banks
Buys/Sells up to 10 items/min (up to 0 items/min total)
Sell Snow Banks:
10000 snowflakes per returned snow bank
Sell:
/min
Currently selling 0 items/min
Buy:
/min
times/min
Currently buying 0 items/min
Purchase:
Purchase Food:
10 Food costs 1 Coin
Purchase Small Fish:
1 Small Fish costs 20 Coin
Purchase Medium Fish:
1 Medium Fish costs 400 Coin
Purchase Big Fish:
1 Big Fish costs 8000 Coin
Purchase Aquarium:
1 Aquarium costs 160000 Coin
Purchase Fish Food Farm:
1 Farm costs 100 Coin
Purchase Small Fish Hatchery:
1 Small Hatchery costs 1000 Coin
Purchase Medium Fish Hatchery:
1 Medium Hatchery costs 10000 Coin
Purchase Big Fish Hatchery:
1 Big Hatchery costs 100000 Coin
Purchase Aquarium Factory:
1 Aquarium Factory costs 1000000 Coin
Purchase Bank:
1 Bank costs 1000000 Coin
Purchase Penguins:
1 Penguin costs 1 Snowflakes.
10 Penguins cost 55 Snowflakes.
100 Penguins cost 5050 Snowflakes.
Each future penguin costs 1 more snowflake.
Purchase Penguin Hatchery:
1 Penguin Hatchery costs 100 Snowflakes.
10 Penguin Hatcheries cost 5500 Snowflakes.
100 Penguin Hatcheries cost 505000 Snowflakes.
Each future penguin hatchery costs 100 more snowflakes.
Purchase Snow Bank:
1 Snow Bank costs 10000 Snowflakes.
10 Snow Banks cost 550000 Snowflakes.
100 Snow Banks cost 50500000 Snowflakes.
Each future snow bank costs 10000 more snowflake.


Two of three members were sitting together in the library and we came to notice that there are so many people drinking coffee. It's genuinely amazing how coffee brings people together regardless of age, gender and race. Coffee is publicly loved and demanded at all times. We thought to convey this message through our little crafted video. We came up to make a slogan for the video "we are together" that speaks volumes about how coffee unites people all around the world helps to resonate sense of community accrose the countries and popularize the sleep deprived culture.


1. Install Flex SDK
- Download Flex SDK from adobe website. http://www.adobe.com/products/flex/flexdownloads/
- Unzip the downloaded archive.(say c:\flex3)
- Add c:\flex3\bin to your PATH system variable
- Open up a command prompt and type mxmlc -version. You will be able to see the version of the flex sdk.
2. Get the latest WSO2 Data Sevice
3. Get the latest license server sample
4. Install/Configure Tomcat and Blazeds
4. Diploy blazeds.war to Tomcat Webapp folder
4. Setting up InteliJ Idea Project


Contains all the "web" parst of JOT, the meat of JOT.
Such as:
- The framework part: MVC:
handling requests, use model (Model)
managing the application flow and calling actions(Controller)
parsing templates and generating HTML(View)
The sub packages contains many other features such as:
- server impl.
- ajax support
- widgets
- multipart request support
and so on.


|
Good Morning, We hope you're having a wonderful start to your week. My team and I are doing market research on new application that we're actively building called Uphealth. Uphealth is simple predictive health analytics. How does it work? The application simply shows a list of symptoms of possible issues with your health. Each time the user experiences one of the symptoms listed the user would just tap on the symptom. We log the date and amount of times the user taps on the symptom, and cross reference that data to a number of other possible illness's correlated with that symptom. Our technology will then begin to build a profile on the user, and then customize their feed of possible symptoms in effort of narrowing down what illness's the user is most prone to having. I'm reaching out to UW medicine to find out if I could get in touch with a couple of doctors to survey. I would be surveying these doctors to find out how they would use an application like Uphealth to analytically predict their clients potential health illnesses? Checkout the alpha version of the app herePlease make sure to go through this quick questioner once you have looked at the app.
Thank you,
|


I am a current MMath Computer Science student at the University of Waterloo, and have an MSc in Neuroscience and Applied Cognitive Science from the University of Guelph.
I am interested in distributed computing and systems, and am passionate about open source.


I am the rain, the rain that pours all day — To me walls, faces, and the streets are all the same — No matter how clean, I wash it all away — I am a stone, a stone that stays the same — And even if I had a brain, I couldn't move away — And even if I was to move, I'd still be gray — I am a rainbow, pretty and gay — But I'm not stable, can't last one day
This is a hand made limited edition of Egoist packaging. 150 copies were printed and we are currently selling only 50. Due to the nature of the process each package is unique with its various "imperfections". Please note that the CD itself (including design and tracklist) is identical to the one in the regular package.
 — Is there a flaw in my soul? — Crawl under the floor — Try to explore a little more of the other side — Roll — into a ball — Fly high in the sky — Is there a hole in my wall? — Is there a flaw in my soul?
We'll post a short video to our youtube channel after every rehearsal so that you get to know us better and see what we're up to.
We are very lucky to be friends with so many talanted photographers. Here are the links to pictures from some of our concerts. From the very first show at a cafe at Nob Hill, to Halloween house concert, to The Fillmore's poster room, to live webcast... If you have any photos or videos please email us at<EMAIL_ADDRESS>In just a bit of a while I’ll get a little high — A little soft, a little dry — Babe, bah-bye, I’ll get a little high — And after awhile – a little higher — Take your time, take mine — Be my high, be mine — My oh my, oh tell me why
I know a girl. I know her well — I like the spell. I like the smell — But we never had a chance to talk — I know a man. He’s like a friend — He wears the brand. He is the brand — But we never had a chance to talk — There is a place, a weird maze — That knows the face, key to my case — I know a god. He’s just a god — He likes to play. He risks a lot — But we never had a chance to talk — I have a dream, sweet dream — Like rocky road I scream — That they all never get a chance to talk
Crawling over rooftops — Sliding down the walls — Underneath the window — Crawling down the hall — Thought I heard you breathing — Thought I caught your breath — Breasts slightly rising — Signs of past intent — You rise like you’re floating — You move across the room — Hinting at the moment — That comes to greet you now — Cradled, held, embraced — Face, silent... — Awaits a moment now at hand — Like a worm intention… — Intentions... intentions... intentions... intentions… — A mist entangled Moon — Sits easily around the phallus — Lovers’ hearts hang hopeful — On this dark and promising night! — Intentions… intentions… intentions… intentions…


The Canvas module is an entity that uses an offscreen canvas as a rendering target. Attach entities to the Canvas module and the child entity becomes drawn on the offscreen canvas.
In this example, a bunny is attached to a 64x64 offscreen canvas. A 2nd bunny is attached together with a rotating triangle and combines them using globalCompositeOperation.


The World Wide Web is a way to share resources with many people at the same time, even if some of these resources are located at opposite ends of the world.
The Web is the most popular Internet service next to e-mail, but it accesses a larger quantity and greater variety of data than any other service on the Internet. World Wide Web is a huge collection of hypertext pages on the Internet. A wide range of Web browsers is available for every type of systems you can imagine, including graphical-user-interface, and text-only for dial-up UNIX connections.
A web browser is a software application for retrieving, presenting, and traversing information resources on the World Wide Web. An information resource is identified by a Uniform Resource Identifier (URI) and may be a web page, image, video, or any other piece of content. Hyperlinks present in resources enable users to easily navigate their browsers to related resources.


To play using computer keyboard White keys-[z,x,c,v,b,n,m] Black keys-[s,d,g,h,j] (From left to right)


AN AMAZING PEOPLE ARE MAKING AN AMAZING DESIGN IN A FUN ENVIRONMENT
When you work with us, you are part of a team of committed collaborators. All aspects of our software development process are intergrated,interactive and agile. Our approach unifies design,development and product management to create exceptional products. We start each project by understanding your business goals, the user's need and the product requirements Then we help translate them into effective and elegant solutions.
Before we sign a contract or write a line of code, our team will spend the necessary time needed to understand your product vision. The outcome of this scoping session is proposal or high-level statement of work, based on your requirements,we can provide a complete offering or just the pieces you need.
Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile and web development technologies They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
Planning and development is iterative. We are constantly coding and testing, hence the products we build are always ready to go live. This iterative process allows for changes as business requirements evolve.


Members
layers :Array.<AbstractLayer>
Type:
- Array.<AbstractLayer>
Methods
(async) addLayer(layer) → {Promise.<void>}
Adds layer to storage for further data search
Parameters:
| Name | Type | Description |
|---|---|---|
layer |
AbstractLayer |
Returns:
- Type
- Promise.<void>
compile()
Compile config and prepare it for .get()
get(path, separatoropt) → {*}
Search data by path in merged data, if data is not merged yet, will merge and returns
then returns value or error
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
path |
string | Path to target value |
|
separator |
string |
<optional> |
Path separator, default is set as options.getSeparator, which default is dot |
Returns:
- Type
- *
recompile()
Build inner config cache again, can be used for manual runtime layers re-read


Sponsored by the Association for the Advancement of Artificial Intelligence
Westin Arlington Gateway, Arlington, Virginia, USA
November 7 – 9, 2019
Recent developments in the availability of big data and computational power are continuing to revolutionize several domains opening up new opportunities and challenges. In this symposium, we highlight two specific disciplines where AI could be used for social good:
This symposium solicits paper submissions from participants (2-6 pages) in either of the two disciplines described below:
Humanitarian Relief and Development: Detecting and predicting how a crisis or conflict could develop, analyzing the impact of catastrophes in a cyber-physical society, and assisting in disaster response as well as resource allocation are of utmost importance, and the advances in AI can be utilized in many such tasks. This track will focus on all aspects of humanitarian relief operations supported by the novel use of AI ranging from enabling missing persons to be located, leveraging crowdsourced data to provide early warning for rapid response to emergencies, increasing situational awareness, to logistics and supply chain management.
Responsible AI in Healthcare: Healthcare data, in general, is characterized by several data problems such as missing data, lack of standardization, incompleteness, etc. which hinders the deployment of solutions which are relevant to real-world use cases. Moreover, many AI solutions in healthcare have the "last mile problem" to deliver a practical solution. These have broader implications in the context of fairness, explainability, and transparency. This track will focus on a broad range of AI healthcare applications and challenges encountered including but not limited to: automation bias, prescriptive AI models, explainability, privacy and security, transparency, decision rights, and so on, especially in the context of deployment of AI in healthcare.
Papers (2-6 pages) of the following flavors are sought:
All persons, organizations and entities that attend AAAI conferences and events are subject to the standards of conduct set forth on the AAAI Code of Conduct for Events and Conferences. AAAI expects all community members to formally endorse this code of conduct, and to actively prevent and discourage any undesired behaviors. Everyone should feel empowered to politely engage when they or others are disrespected, and to raise awareness and understanding of this code of conduct. AAAI event participants asked to stop their unacceptable behavior are expected to comply immediately. Sponsors are also subject to this code of conduct in their participation in AAAI events. For more information about AAAI's Code of Professional Ethics and Conduct, please also see http://www.aaai.org/Conferences/code-of-ethics-and-conduct.php.


PSALMS 150
1 Praise Yahweh!
Praise God in his temple!

Praise him by playing stringed instruments and by playing flutes!
5 Praise him by clashing cymbals;
praise him by clashing very loud cymbals!
6 I want all living creatures to praise Yahweh!
Praise Yahweh!


 They are the perfect gift for those looking to try the hip new thing, or the ultimate vengence for you to visit upon your enemies!
Salmon Cookies! They are a product that exists and is available for purchase!
Visit Us at Our Locations!
- 1st and Pike li>
- Sea Tac Airport li>
- Seattle Center li>
- Capitol Hill li>
- Alki
Always remember, we ship world-wide!


Kaggle.com sets up competitions for the machine learning community. The aim of the cats and dogs competition was to create a classifier algorithm that could distinguish a photo of a cat from one of a dog.
The Java, OpenCV and R neural network hybrid I trained could filter a picture down to areas that contained an animal and those that didn't had an 86% accuracy rate.


@Target([AnnotationTarget.CLASS]) annotation class StartableByService
Any Flow which is to be started by the FlowStarterService interface from within a CordaService must have this annotation. If it's missing the flow will not be allowed to start and an exception will be thrown.
<init> |
Any Flow which is to be started by the FlowStarterService interface from within a CordaService must have this annotation. If it's missing the flow will not be allowed to start and an exception will be thrown. StartableByService() |


What is the percent probability of PLAYER making ALL of his next STREAK free throw attempts?
Round your answer to one decimal place.
Use the information in the following table to help answer the question:
By looking through the table, we know that the probability of PLAYER making one free throw is SINGLE_PCT%.
So SINGLE_PCT% of the time, he'll make his first shot. Then SINGLE_PCT% of the time he makes the first shot, he will also make his second shot.
So the chance of making two free throws in a row is
\blue{SINGLE_PCT\%} \times \blue{SINGLE_PCT\%}
, or
\blue{PROB} \times \blue{PROB}
.
The chance of making three free throws in a row is
\blue{PROB} \times \blue{PROB} \times \blue{PROB}
,
and so on.
So the chance of PLAYER making all STREAK
free throw attempts in a row is \blue{PROB}^{\green{STREAK}}
.
\blue{PROB}^{\green{STREAK}} \approx
roundTo(3, pow(PROB, STREAK))
.
The chance of PLAYER making his next STREAK free throw attempts is approximately SOLUTION%.


Bacon Sunrise [Image Cache]
I hope I can have dreams of this image every night.via Gizmodo by Mark Wilson on 11/17/09
Over the apple-smoked mountains, the great yolk rose again. And day began anew. [jenntotten via Geekologie]
Over the apple-smoked mountains, the great yolk rose again. And day began anew. [jenntotten via Geekologie]


From: Velika Dožić
To: Cédric Kinsinger
Subject: Progress?
Good morning, Cédric.
How are you doing at Cambridge? Absolutely nothing is happening over here, so we're dying for some content for the new edition. Have you found any juicy students yet?
From: Cédric Kinsinger
To: Velika Dožić
Subject: Re: Progress?
Well, I guess it depends on what you mean by "juicy"... Most people here have about as many original ideas as a cardboard cutout of Jayson Blair. However, I have discovered evidence that a few students have started a group to discuss political ideas.
I spoke to one of the members, and she denied that they were anything more than a normal study group, but I'm pretty sure she was just trying to throw me off the track. I've found out where they meet, so I'll probably drop in next time.
From: Velika Dožić
To: Cédric Kinsinger
Subject: Excellent!
Excellent!
Let me know what you find out. Don't be afraid to prod them a bit, to get them to open up. I am sure they have plenty of interesting stuff to say, if you'll just be a bit persistent.
From: Cédric Kinsinger
To: Velika Dožić
Subject: Re: Excellent!
Sure, I just don't want to be asking any leading questions. We do want genuine ideas here right? Are you sure this whole thing is a good idea? Students can be pretty naive, and I wouldn't want to get them in trouble due to a few ill-conceived remarks. Maybe it's best to let them have some privacy until they've grown up?
From: Velika Dožić
To: Cédric Kinsinger
Subject: Oh, Cédric
Of course we are looking for a genuine ideas! Why must you always twist my words so? Just try to get them to open up a bit, that's all I'm saying.
Oh, and of course it's a good idea to hear what young people today have to say. Haven't you read that book I lent you about the open society and its enemies? Obviously, the greatest enemy of an open society is the idea that people should keep their ideas to themselves. A free exchange of ideas and opinions is vital to a well-functioning democracy, such as ours.
Besides, if they truly do believe in bombing the government, or something stupid like that, then it's in their own best interest for someone to investigate and get them back on the right track.
From: Cédric Kinsinger
To: Velika Dožić
Subject: Oh, Cédric
Right, the book. I've been meaning to get around to it...
I guess you're right. Allowing these students to express themselves is in everyone's best interest. I'll write again when I have something.


**Expressive Vector Engine** Glossary (insert crumbs.html here) Arithmetic operations semantic ==================================================================================================== Let `x`, `y` and `z` be three values of respective types `T, U, V`. When invoking the parenthesis operator of an object `anyobj`: The call `anyobj(x,y)` will be reputed to respond to the **arithmetic operations semantic** if `T` and `U` are [compatible](../../concepts.html#compatible) [values](../../concepts.html#value) and the call is semantically equivalent to: The call `anyobj(x,y,z)` will be reputed to respond to the **arithmetic operations semantic** if `T`, `U` and `V` are mutually [compatible](../../concepts.html#compatible) [values](../../concepts.html#value) and the call is semantically equivalent to: In each case the return type is the compatibility result of the types of the three parameters. Bitwise operation semantic ==================================================================================================== Let `x`, `y` be two values of respective types `T` and `U`. When invoking the parenthesis operator of an object `anyobj`, the calls `anyobj(x,y)` will be reputed to respond to the **bitwise operations semantic** if the two types are bit_compatible and the call is semantically equivalent to: The return type always has `T` as element type. Logical operation semantic ==================================================================================================== Let `x`, `y` be two values of respective types `T` and `U`. When invoking the parenthesis operator of an object `anyobj`, the calls `anyobj(x,y)` will be reputed to respond to the **bitwise operations semantic** if the two types are ... TODO Cardinal ==================================================================================================== The cardinal of a [value](reference/concepts.html#value) is the number of elements inside the corresponding register. For any [scalar types](reference/concepts.html#scalar_value), the cardinal is equal to 1. For [SIMD types](reference/concepts.html#simd_value), it's equal to the number of lanes in the register. **EVE** provides the [cardinal](reference/types/traits.html#cardinal) traits to access the cardinal of any type. Element type ==================================================================================================== For any [value type](reference/concepts.html#value), **EVE** defines its underlying element type as the basic type used to represent its value. For any [scalar types](reference/concepts.html#scalar_value), its type is its own element type. For [SIMD types](reference/concepts.html#simd_value), it's defined as the scalar type associated. **EVE** provides the [element_type](reference/types/traits.html#value_type) traits to access the element type of any type. Element-wise operations ==================================================================================================== Let `x1`, `x2`, ..., `xn` be values of respective types `X1` and `X2`, ... `Xn` which are mutually compatible. and let `C` be the compatibility result of these types. When invoking the parenthesis operator of an object `anyobj`, the call `anyobj(x1, x2, ...)` will be reputed to respond to the **element-wise operations semantic** if it is semantically equivalent to: Type family ==================================================================================================== The type family is based on the value concept a type satisfies. One say a type is from a scalar family if it satisfies the [scalar_value](reference/concepts.html#scalar_value) and from a SIMD family if it satisfies the [simd_value](reference/concepts.html#simd_value). Value type ==================================================================================================== For any [value type](reference/concepts.html#value), **EVE** defines its underlying value type as the basic type used to represent its value. For any [scalar types](reference/concepts.html#scalar_value), its type is its own value type. For [SIMD types](reference/concepts.html#simd_value), it's defined as the type of scalar value stored in the SIMD register. **EVE** provides the [value_type](reference/types/traits.html#value_type) traits to access the value type of any type. ----------------------------------------------------------------------------------------------------


Welcome!
To start tracking the Web Audio context,the extension needs to reload the page.
Bugs, ideas and feedback: GitHub page@thespite | www.clicktorelease.com
Waiting for nodes to be added...


Hello world!
Hello World!
The woods are lovely, dark and deep, But I have promises to keep, And miles to go before I sleep, And miles to go before I sleep.


The main objective is to identity the talented and qualified professionals before they complete their education. This process reduces time for an industry as well as for the students.It is responsibility to make students equipped on all aspects of career development along with creating a very good impact and will help them getting placed in their dream companies.


To operate, send a GET request with the path as a parameter, as follows:
GET /?path=/path/to/your/file.txt


Indonesia is known as the largest archipelagic country in the world, with an area of 1,904,569 km2 and the number of islands as many as 17,508 pieces.
Indonesia lies on the equator and belongs to Southeast Asia, flanked by two continents, Asia and Australia and two oceans, the Pacific and the Indies. Therefore, Indonesia also referred to as
Nusantara (Archipelago Islands).
Pink Beach Lombok is one of the tourist destinations in East Lombok is increasingly popular
because it has a natural beauty and uniqueness of pink sand.
The real name is Tangsi Beach with a length of about 1.5 km with a coastline of 6 meters in the surrounding hills that form coves and in the sea there are
several small islands called gilis.
Karimunjawa is an archipelago in the Java Sea that belongs to Jepara regency, Central Java. With a land area of ± 1,500 hectares and a water ± 110,000 hectares, Karimunjawa is now developed into a charm of Marine Park tourism that began to favor a lot of local and foreign tourists.
Based on the legend circulating in the archipelago, this island was discovered by Sunan Muria. The legend revolves around Sunan Muria who is concerned over the mischief of his son, Amir Hasan. With the intention of educating, Sunan Muria then ordered his son to go to an island that appears "kremun-kremun" (escape) from the top of Mount Muria so that the child can deepen and develop his religious knowledge. Because it looks "kremun-kremun" then called the island is Karimun Island.
Jogan Beach, a hidden beach in Yogyakarta that is unique. Because on this beach there is a waterfall that is located dibibir beach. In addition to unique jogan beach is still natural and quiet visitors.
The phenomenal waterfall of jogan beach is almost never dry, When the dry season there is still water that flows just a very small debit. Time to visit this beach is best when the transition between the rainy season to the dry season.
In jogan beach, to enjoy the splash of jogan beach waterfall, visitors must descend down the cliff by climbing from karnag to coral and as a grip mounted wood to hold on.
.
Want to snorkel in Yogya? Beach Nglambor is the place. Usually it is not the mind to snorkel on the south coast in Yogyakarta, because the waves are great with strong currents.It turns out there are beach spot for snorkeling in Yogya; Beach Nglambor.
This unique beach is shaped like a small lagoon, so the water flow is relatively quieter than the other shoreline that is open off. However, we still have to be careful because of the nature of the strong south coast. Water on the beach is also very clear, so while snorkeling ntar we can see clearly the various fish and marine life in the surrounding coral reefs.
On this beach there are two large rocks, watu kalong and watu kangkul, which is fixed in the mouth of the beach. Because of the position of these two rocks the waves on the beach Nglambor not so great.
Kuta Beach is a tourism place located in Kuta district, south of Denpasar City, Bali, Indonesia. This area is a tourist destination of foreign tourists and has become a mainstay tourist attraction of the island of Bali since the early 1970s. Kuta Beach is often referred to as sunset beach (sunset beach) as opposed to Sanur beach. In addition, I Gusti Ngurah Rai Airfield is located not far from Kuta.
Before becoming a tourist attraction, Kuta is a trading port where local products are traded to buyers from outside Bali. In the 19th century, Mads Lange, a Danish trader, came to Bali and established a trading base in Kuta. He is an expert in negotiating himself well-known among Balinese and Dutch kings.
Furthermore, Hugh Mahbett published a book entitled "Praise to Kuta" which invites local people to prepare tourist accommodation facilities. The goal is to anticipate the explosion of tourists visiting Bali. The book then inspired many people to build tourist facilities such as lodging, restaurants and entertainment venues.
Indonesia is known as the largest archipelagic country in the world, with an area of 1,904,569 km2 and the number of islands as many as 17,508 pieces.
Indonesia lies on the equator and belongs to Southeast Asia, flanked by two continents, Asia and Australia and two oceans, the Pacific and the Indies. Therefore, Indonesia also referred to as
Nusantara (Archipelago Islands).
Jogja Bay Waterpark is a new waterpark in Jogjakarta (just 2 years old). For entry tickets for us people of Jakarta is not much different with other waterpark equivalent (125 thousand during peak season). There is a locker rental and a gazebo rental at an additional cost. For his own ware there are some fairly extreme slides, no need to rent tires because the tires are available near the slide area.
In addition there is a current pool, wave pool that he said was made a simulation of the tsunami, big enough indeed but the condition is still safe to play water. It is recommended for those who bring children under 7 years old to be equipped with live vest, because when the waves appear, the water depth can reach 2 meters more.
For food and drink not allowed to be brought in, bags were searched in front of the entrance. whereas if buy inside is quite expensive if for the culinary size of Jogjakarta.
Upside Down World Jogja is a vehicle for self-portrait and wefie ria with anti gravity effects from behind the lens. In Upside Down World Jogja there are 12 different spots that we can create a scene with a unique style because there is a room that diverse upside down. Here also we can creativity to get the best photo pose and make us more cool.
Taman Impian Jaya Ancol is a tourist attraction in North Jakarta. As a community of renewal of people's life that became the pride of the nation. Always create a better social environment through quality entertainment offerings of art, culture and knowledge, in order to realize the Life Re-Creation community which is the nation's pride.
Taman Impian Jaya Ancol itself has many rides like beach and park, fantasy world (dufan), atlantis, ocean rink, sea world, mermaid cottages, ancol golf course, marina, art market, retail ,, hailai executive club, cable car ( gondolas), bowling, culinary tours, and much more.
 Her fragrant coffee and her famous elephant captivity? Yes, no one, Lampung is indeed one tourist destination that is right for you who want to see the captivity of this large-bodied mammal. It is the Way Kambas National Park located in Labuhan Timur Subdistrict, Lampung. Tourist attractions run by the Ministry of Forestry was first built in 1985 and is the first elephant school in Indonesia. In addition to a place of conservation and training of elephants, in TNWK there is also International Rhino Foundation which functioned as a breeding ground for rhinoceros from extinction. To get here, you will only be charged a ticket of Rp30,000 per person. Very cheap, is not it?
Semarang city is the capital of Central Java Province. Semarang itself is a city that is quite unique because it has a variety of tourist attractions, ranging from historical tours, nature tourism, cultural tourism, culinary, and so forth. Well, one of the historical sights in Semarang is quite famous and still visited by tourists to this day is the Old Town area. In ancient times, the colonial Dutch colonial heritage area is a trade center with an area of about 31 hectares. Here, many ancient Dutch architectural buildings are full of historical value, among them are Tawang Station, Tawang Water Polder, Blenduk Church, Mberok Bridge, and shopping area. Also because the city is designed like the cities in the Netherlands, the Old Town area of Semarang dubbed The Little Netherlands.
Indonesia is known as the largest archipelagic country in the world, with an area of 1,904,569 km2 and the number of islands as many as 17,508 pieces.
Indonesia lies on the equator and belongs to Southeast Asia, flanked by two continents, Asia and Australia and two oceans, the Pacific and the Indies. Therefore, Indonesia also referred to as
Nusantara (Archipelago Islands).
Wonosobo is a district in Central Java Province. The capital is Wonosobo. It is adjacent to Temanggung and Magelang regencies in the east, Purworejo regency in the south, Kebumen regency and Banjarnegara regency in the west, and Batang regency and Kendal regency in the north.
Wonosobo district stood July 24, 1825 as the district under the Sultanate of Yogyakarta after the battle in the Diponegoro War. Kyai Moh. Ngampah, who helped Diponegoro, was appointed as the first bupati with the title of Kanjeng Raden Tumenggung (K.R.T.) Setjonegoro.
Most of Wonosobo regency is mountainous. East (border with Temanggung Regency) there are two volcanoes: Gunung Sindoro (3,136 meters) and Mount Sumbing (3,371 meters). The northern region is part of the Dieng Plateau, with its peak Mount Prahu (2,565 meters). To the south, there is Wadaslintang Reservoir.
The capital of Wonosobo regency is in the middle of the Regency area, which is the upstream area of ??Kali Serayu. Wonosobo crossed the provincial road connecting Semarang-Purwokerto.
Most of Wonosobo regency is mountainous. East (border with Temanggung Regency) there are two volcanoes: Gunung Sindoro (3,136 meters) and Mount Sumbing (3,371 meters). The northern region is part of the Dieng Plateau, with its peak Mount Prahu (2,565 meters). To the south, there is Wadaslintang Reservoir.
The capital of Wonosobo regency is in the middle of the Regency area, which is the upstream area of ??Kali Serayu. Wonosobo crossed the provincial road connecting Semarang-Purwokerto.
Puncak Mangunan Forest is part of the Mangunan Forest Management Resort (RPH) located not far from Imogiri, Bantul, Yogyakarta. Therefore, people often call it the name of Imogiri Pine Forest. In this area, travelers can see the row of pine trees that erect soaring beautifully.
Thousands of pine trees in the Imogiri Pine Forest stand upright in an area of 500 Ha. When the wind blows, the leaves will emit a distinctive aroma of pine forest is sharp. No wonder if many are looking for peace when visiting the Imogiri Pine Forest.
With a lush pine forest backdrop, you can get a Hollywood-style photo setting. Not only for pre wedding, but many travelers who come to the Imogiri Pine Forest with family or friends to take pictures there.
Tangkuban Parahu or Mount Tangkuban Perahu is one of the mountains located in West Java Province, Indonesia. Approximately 20 km to the north of Bandung City, with lush pine trees and expanse of tea gardens in the vicinity, Mount Tangkuban Perahu has a height of 2,084 meters. The shape of this mountain is Stratovulcano with an eruption center that moves from east to west. The type of rock that is released through the eruption is mostly lava and sulfur, the mineral released is sulfur sulfur, a mineral that is released when the inactive volcano is sulfur vapor. The area of Gunung Tangkuban Perahu is managed by Perum Perhutanan. Its daily average temperature is 17 ° C at noon and 2 ° C at night.
The phenomenal waterfall of jogan beach is almost never dry, When the dry season there is still water that flows just a very small debit. Time to visit this beach is best when the transition between the rainy season to the dry season.
Mount Tangkuban Perahu has a forest area of Dipterocarp Hill, Upper Dipterocarp Forest, Montane forest, and Ericaceous Forest or mountain forest.
The slopes of Mount Slamet in the northern city of Purwokerto save a variety of hidden panoramic beauty. Yes, some areas near Mount Slamet will not be separated with a variety of landscapes landscapes of various shapes.
Baturraden is one such example. Located under Mount Slamet, Baturraden Loka Tour presents a variety of natural attractions and also offers some educational rides for the surrounding community, tourists who come from domestic and even abroad.
But who would have thought if we go deeper around the foot of Mount Slamet there is one hill that presents the charm of the landscape that is not less interesting with Loka Tour Baturraden. The hill is called Bukit Tranggulasih.
Tranggulasih Hill is located north of the city center and directly adjacent to Baturraden Sub-district, precisely the location of Tranggulasih Hill is located in Windujaya Village, Kedungbanteng Sub-district, Banyumas Regency.
Lake Toba is a large tekto-volcanic natural lake that occupies the caldera of a supervulkan. This lake has a length of about 100 kilometers, a width of about 30 kilometers, and a depth of up to 505 meters (16666 feet), located in North Sumatra Province, Indonesia. Lake Toba is the largest lake in Indonesia and Southeast Asia. In the middle of this lake there is a volcanic island called Samosir Island.
Indonesia is known as the largest archipelagic country in the world, with an area of 1,904,569 km2 and the number of islands as many as 17,508 pieces.
Indonesia lies on the equator and belongs to Southeast Asia, flanked by two continents, Asia and Australia and two oceans, the Pacific and the Indies. Therefore, Indonesia also referred to as
Nusantara (Archipelago Islands).
Located in a row of beautiful hills stretching southeast of Bantul, Bukit Dahromo enliven the tour in Mangunan with some really cool photo spots. Despite offering tours similar to the tourist attractions around Mangunan, but the location of Pintoe Langit Dahromo is worth a visit.
In the tourist area Pintoe Sky is not only presents a spot of the Door alone, there is also kok spot photo wing model dragonflies and various other best photo spots.
For you who want selfie with a partner with an affordable price, then this Sky Door can be the right choice.
Have you ever wondered where did the eucalyptus oil come from? No need to curious anymore, because in Bukit Lintang Sewu you will be served with panorama of eucalyptus forest is charming, cool and beautiful.
If lucky, the Alap-Alap Bird (a kind of small eagle), you can see passing in a row of eucalyptus trees, to prey on quails nesting in the roots of eucalyptus trees.
The name of Bukit Lintang Sewu is taken from the Java language which means "Bukit Seribu Bintang". Because in addition to seeing the beautiful sunset, from Bukit Lintang Sewu we can also see the beauty of the city lights flickering when the night that looks like a star on earth.
As the name is Cinta Island, this one island will definitely make your partner more in love. The island is located in Tomini Bay, Gorontalo, North Sulawesi has some cottages that circle to form the heart, that's why this place is called Love Island.
Here you will be presented with exotic blue sea water with white sand that is so tempting. So no need all the way to the Maldives, because Indonesia also has an exotic marine tourism nan romantic.
Lombok is famous for its beautiful beaches. One of them is Gili Trawangan. Gili Trawangan is one of the coastal tourist destinations suitable for you to visit with your partner.
This beach presents a panoramic view of natural beauty. Not only blue sea water and seductive white sand, Gili Trawangan has a beautiful panorama under the sea for you to enjoy. Moments of romance you can create with your partner here. You can enjoy the beautiful evening sky in Gili Trawangan while sitting together on the swing is available there.
Not only Lombok is famous for its beautiful beaches, in Kebumen there is a beach behind the hill like a hidden paradise. The state of the beach here is really still natural. With the appearance of the blue sea and clear, sandy white sand and surrounded by hills really complete scenery.
For you who visit with your partner, must photograph in one of the latest spot that is rattan "I Love You" at dusk or early morning is really romantic moment.


| Constants |
| ONE_100TH_MM |
In this type of map mode one logical point is equal to one-hundredth
of milimetre.
|
| ONE_10TH_MM |
In this type of map mode one logical point is equal to one-tenth
of milimetre.
|
| ONE_MM |
In this type of map mode one logical point is equal to one
milimetre.
|
| ONE_CM |
In this type of map mode one logical point is equal to one
centimetre.
|
| ONE_1000TH_INCH |
In this type of map mode one logical point is equal to one-thousandth
of inch.
|
| ONE_100TH_INCH |
In this type of map mode one logical point is equal to one-hundredth
of inch.
|
| ONE_10TH_INCH |
In this type of map mode one logical point is equal to one-tenth
of inch.
|
| ONE_INCH |
In this type of map mode one logical point is equal to one inch.
|
| POINT |
In this type of map mode one logical point is equal to one
typographical point.
|
| TWIP |
In this type of map mode one logical point is equal to one twentieth
of typographical point.
|
| PIXEL |
In this type of map mode one logical point is equal to one pixel.
|
| Constants' Details |
ONE_100TH_MM
const long ONE_100TH_MM = 0;
- Description
- In this type of map mode one logical point is equal to one-hundredth
of milimetre.
|
|
ONE_10TH_MM
const long ONE_10TH_MM = 1;
- Description
- In this type of map mode one logical point is equal to one-tenth
of milimetre.
|
|
ONE_MM
const long ONE_MM = 2;
- Description
- In this type of map mode one logical point is equal to one
milimetre.
|
|
ONE_CM
const long ONE_CM = 3;
- Description
- In this type of map mode one logical point is equal to one
centimetre.
|
|
ONE_1000TH_INCH
const long ONE_1000TH_INCH = 4;
- Description
- In this type of map mode one logical point is equal to one-thousandth
of inch.
|
|
ONE_100TH_INCH
const long ONE_100TH_INCH = 5;
- Description
- In this type of map mode one logical point is equal to one-hundredth
of inch.
|
|
ONE_10TH_INCH
const long ONE_10TH_INCH = 6;
- Description
- In this type of map mode one logical point is equal to one-tenth
of inch.
|
|
ONE_INCH
const long ONE_INCH = 7;
- Description
- In this type of map mode one logical point is equal to one inch.
|
|
POINT
const long POINT = 8;
- Description
- In this type of map mode one logical point is equal to one
typographical point.
|
|
TWIP
const long TWIP = 9;
- Description
- In this type of map mode one logical point is equal to one twentieth
of typographical point.
|
|
PIXEL
const long PIXEL = 10;
- Description
- In this type of map mode one logical point is equal to one pixel.
|
|
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


I am using rltamr to decode the usage transmissions from my smart gas meter. I'm using node-red to tail the rtlamr log file, and it is forwarding messages in this format to emoncms:
{gas:265672}
The number is the lifetime gas usage in cubic feet.
I've searched the site & have an understanding of the general steps that are needed to process this input, but I seem to be setting something up incorrectly. Here is a screenshot of my current configuration:
https://www.dropbox.com/s/77enborv07r1g8g/Screenshot%202014-12-28%2009.0...
Can someone spot my error or errors in this configuration?
Re: Configure Emoncms input processes for gas meter pulse count input
Hi ddcarter,
I saw in a more recent post of yours, that you managed to get your data now right, can you explain how you did this with an screendump of the input processing?
(oops, I see the screendump already in the new post here: http://openenergymonitor.org/emon/node/6373)
Re: Configure Emoncms input processes for gas meter pulse count input
I *think* I have the processing set up correctly, but I haven't done anything yet with adding those feeds to visualizations, etc. Let me know if you find a better way of doing any of this.
It seems that what is missing is a clear set of documentation on each of the processing transformations - expected inputs, outputs, etc. I've seen advice to place a log to feed after the first step, verify output, move the log down in the list, verify output, etc., essentially the equivalent of adding debug statements. I think this would be unnecessary in a lot of cases if we only had clear documentation. This lack of documentation plus the inability (or lack of clearly documented ability) to delete all the data in an input while retaining the processing configuration are two huge barriers to getting started with emoncms. It ends up being a lot of trial, error, and frustration.
Re: Configure Emoncms input processes for gas meter pulse count input
Hi ddcarter,
I have a setup with rtlamr that is receiving the consumption messages from my gas meter as well, how did you set yours up? I am also interested in forwarding the consumption messages to emoncms. Currently I am saving the rtlamr information in to a log file in JSON format. What I haven't been able to do is to "connect the dots" on how to get the log entries parsed and sent to emoncms. Would you be able to share how you did this?
Cheers,
Chandler
Re: Configure Emoncms input processes for gas meter pulse count input
Chandler,
I have rtlamr sending output to a log file in JSON format. It is started with -filterid=xx -quiet=true -logfile=xx -format=json
I then have a node-red flow set up to tail that log file. (This approach will not work on Windows -- tail is Mac or Linux only.) Nodes are tail->change->parse_json->template->emoncms.
Tail & parse json are straightforward, no parameters.
The change node is configured to "Set the value of the message property called msg.time to msg.payload.Time". This is extracting the Time from the rtlamr log record & using it to override the message time in the message that gets passed on the remaining steps. (I'm not sure that this is having the desired effect. According to the documentation for the emoncms node, this should cause a "&time=xx" value to be placed in the emoncms url, but I don't think this is happening right now. Maybe an issue with the way the datetime is formatted in the rtlamr log. Not a problem if you are processing messages more or less in real-time, but would be an issue if you are working with store-and-forward-later log records.)
The template node extracts the Message.Consumption value from the rtlamr log's json format & creates a new json message like this: (replace "gas" with whatever you want your input to be called on emoncms)
{gas:{{payload.Message.Consumption}}}
The emoncms node is configured with the base URL of http://emoncms.org/ and with my write api key. You could do this with the standard http request node as well, but it's fairly easy to install the emoncms node from the node-red node repository.
I will probably get around to adding some additional logic to handle any error messages in the rtlamr log, or perhaps to restart the rtl_tcp & rtlamr processes if needed. A higher-priority enhancement would be finding a way to throttle the rate at which updates are passed on to emoncms, perhaps only updating every minute, 5 minutes, etc. Updates from my meter can be as frequent as every 15 seconds.
Hope this helps. Let me know if you come up with any enhancements.
Regards,
David


We monetize tables!
- benchmark extensible experiences
- redefine bricks-and-clicks ROI
- cultivate frictionless mindshare
- redefine dot-com markets
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Data from: Perceived threats of infanticide reduce maternal allocation during lactation and lead to elevated oxidative damage in offspring
Sources Summary Caveats Setup Import Reproducibility Offspring weight Maternal behaviour Glucocorticoid metabolites in mothers Fig. 3 Oxidative stress in offspring Statistical Red Flags 1. Computation of ANOVA table using Afex package How balanced is the design ANOVA using Afex (computation above) 3 ANOVA table using lme/lmer Compare LMM to ANOVA table using lm() and AOV (ignoring clustering due to repeated measures) Plot it to visualize the effects Sources Gale T, Garratt M, Brooks RC (2018) Perceived threats of infanticide reduce maternal allocation during lactation and lead to elevated oxidative damage in offspring.
Data from: Density-dependent positive feedbacks buffer aquatic plants from interactive effects of eutrophication and predator loss
Sources Summary Caveats Set up Import data cleaning Reproducibility Appendix S5 Table S1 reproducing epiphytic algae biomass columns in-text Appendix S5 Table S2 Figure 2 Statistical Red-flags Figure red-flags Simulate this Sources Source: Donadi S, Austin ÅN, Svartgren E, Eriksson BK, Hansen JP, Eklöf JS (2018) Density-dependent positive feedbacks buffer aquatic plants from interactive effects of eutrophication and predator loss. Ecology 99(11): 2515-2524.
Data from: Litter removal in a tropical rain forest reduces fine root biomass and production but litter addition has few effects
Sources Summary Caveats Set up Functions import Note in file Data inconsistencies Data pre-processing Reproducibility Section: Fine root mass and production My ANOVA results reported ANOVA results Did the authors use a one way ANOVA with no random effects? Figure 1 post-hoc tests for fig 1 Fine root mass production effects of treatment on FRB and FRB production figure 2 Section: Fine root length: standing crop, production and survivorship table 1 Figure 3 post hoc tests for fig.
Data from: Interactions among predators and plant specificity protects herbivores from top predators
Summary Caveats Set up Import Reproducibility Effect on total predators my results reported results Effect on total herbaceous my results reported results ANOVA table in Appendix 3, Table S1 Fig 1 Subsetting the response spiders predatory insects Hemiptera Coleoptera Lepidoptera Orthoptera Fig S6 Statistical red-flags Source: Bosc C, Roets F, Hui C, Pauw A (2018) Interactions among predators and plant specificity protect herbivores from top predators.
Data from: Frequency of virus-resistant hosts determines experimental community dynamics
Summary Caveats Set up Reproducibility missing data Table 1 what model? AOV vs. lmer AOV computation Table 1 – my results Table 1 – reported results Did the authors throw out A3 for Chlorella and Rotifer? Table 2 AOV v lmer Table 2 – my results Table 2 – reported Did the authors throw out A3 for Chlorella and Rotifer? Figure 2 Statistical presentation Source: Coloma S, Gaedke U, Sivonen K, Hiltunen T (2018) Frequency of virus-resistant hosts determines experimental community dynamics.
Data from The interaction between predation risk and food ration on behavior and morphology of Eurasian perch
Sources Background Reproducibility key Caveats Reproducibility Figure 1/Table 1 (Condition and Length) Condition index Table 1 Tukey Contrasts Figure 2/Table 2 (Behavior) Table 2 Morphometrics Post-publication review Sources Svanbäck R, Zha Y, Brönmark C, Johansson F (2017) The interaction between predation risk and food ration on behavior and morphology of Eurasian perch. Ecology and Evolution 7(20): 8567-8577. https://doi.org/10.1002/ece3.3330
Svanback R, Zha Y, Brönmark C, Johansson F (2017) Data from: The interaction between predation risk and food ration on behavior and morphology of Eurasian perch.
Data from: Success despite the stress -- violet-green swallows increase glucocorticoids and maintain reproductive output despite experimental increases in flight costs
Sources Background Reproducibility key Caveats Data Reproducibility Initial measures Change in Cort Change in Body Mass Post-publication review “no significant differences” among treatment groups at baseline does not protect in any way against the bias in change scores (post - pre treatment measure) Estimates of treatment effects on Cortisol and Mass were not adjusted for baseline values Simulation to explore behavior in lmm vs. ANCOVA-lm vs. cLDA Adjustment for baseline comparing \(Cort_b\) Sources Rivers JW, Newberry GN, Schwarz CJ, Ardia DR (2017) Success despite the stress: violet-green swallows increase glucocorticoids and maintain reproductive output despite experimental increases in flight costs.
Data from: Density triggers maternal hormones that increase adaptive offspring growth in a wild mammal
Sources Background Reproducibility key Caveats Reproducibility Effect of spruce cone availability on local density (Fig. 1B) Effect of Density on growth rate (Fig. 2/Table S2) Effect of Density on fecal cortisol metabolites (Fig. 3/Table S4) Effect of FCM on offspring growth rate (Table S5) Effect of experiment Cortisol on growth rate (Table S6) Red flags Effect of Density on growth rate (Fig. 2/Table S2) Growth rate is a change score and is confounded by the basline Figure 2 doesn’t make sense Effect of Density on fecal cortisol metabolites (Fig.


To: Asana recruiting team
Re: Product Designer San Francisco
Hello, my name is Eric Tsai.
I am excited to be applying for the Product Designer role at Asana, I’ve been chatting about the position with my friend Philina Fan (we worked at Cloudflare together) and have reviewed the job description and feel that I would be a great candidate for the role.
I’m a designer with 6 years experience working in design, working on projects ranging from websites to native apps. Over the years I have developed strong design fundamentals, coding experience, and understanding of the end-to-end product process. My goal is to join a company where I would be able to continue to grow as a designer, ship great product, and to contribute to the design community.
I’ve included my resume that covers my previous work experiences and results. Please contact me at<PHONE_NUMBER> or via email me at<EMAIL_ADDRESS>for any questions. Thank you for your time, and I look forward to hearing from you soon.
Sincerely,
Eric Tsai


Recent generative model research has developed a class of methods known as Generative Adversarial Networks (GANs). These models adopt a game theoretic approach to training; two networks D (discriminator) and G (generator) "play a game" where D is trained to learn generated data from real data and G is trained to confuse D that the data it's generating is real. Several variants of these networks [1, 2] have produced unbelieveably accurate samples.
Handbag Addition
This is a "fashion" edition of the results from [2] where the authors perform vector arithmetic in z-space. The classic example is:
with man-with-glasses - man-without-glasses + woman = woman-with-glasses
We applied similar methods specific to our industry using handbags. We perform "arithmetic" on handbag features - that is, we reconstruct new handbags from the latent features of our network. The idea behind this is to take two popular handbags, let the GAN extract/merge their features, and then subtract them from features of a less popular handbag. The transition is much more subtle and not obvious, and up to interpretation as to what features the final product extracts from each image.
Taking 500 random points in z-space and varying the mean and standard deviation, we are able to generate what appears to be a transition from a handle-less clutch to much wider handbag with a handle.
Thoughts
An interesting experiemnt could be taking products that a shopper has viewed or purchased and using these techniques, create new patters/shapes/styles tailored specificlly to that individual.
References
[1] Brendan Frey, Ian Goodfellow, Navdeep Jaitly, Alireza Maklhzani, and Jonathon Shlens. Adversarial Autoencoders. arXiv:1511.05644v2 [cs.LG], 25 May 2016.
[2] Soumith Chintala, Luke Metz, and Alec Radford. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. arXiv:1511.06434v2, 07 January 2016.
[3] Xi Chen, Viki Cheung, Ian Goodfellow, Alec Radford, Tim Salimans, Wojciech Zaremba. Improved Techniques for Training GANs. arXivL1606.03498v1 [cs.LG], 10 June 2016.


For a Change, She Made Orange Look Stunning
by Manaswini KIt’s not everyone’s cup of tea to make every outfit likable and carry that in their own style. Orange isn’t the colour that might look very trendy on everybody who wears it. But, Kiara Advani proved it otherwise.
Look at the diva in this shimmery orange outfit teamed up with a blue denim jacket! Isn’t she gorgeous with her peachy makeup and nude lip colour? Kiara can easily slip into almost every look and colour.
That double-layered orange coloured chain around her neck with a starfish pendant hanging on to her cleavage is the right choice to go with this gorgeous look, isn’t it?
On the work front, Kiara Advani has been busy with half-a-dozen movies in her kitty in Bollywood, and among them, two movies are with star hero Akshay Kumar and the others with young and happening heroes.


//First, include the relationer.js in your library.
<script src="relationer.js"/><script>
//Get the body element of the current DOM
const
body = document.querySelector('body');
//Create a network
network = new Network();
//Create a canvas to display your network.
canvas = new Canvas(network);
//Pass in the infomation and generate your nodes.
const node1 = network.createNode(id,color,x-position,y-position,radius,shape)
//If the node you want to generate requires a profile, you should also pass in the image
const node2 = network.createNode(id,color,x-position,y-position,radius,'image')
var img = new Image();
node2.setImage(img,'src.jpg')
//Generate a edge if you want
const edge = network.createEdge(edgeId,startNode,endNode)
//Finally, draw the network graph!!
network.draw(canvas);
body.append(canvas.div);
//Nothing need to pass in when create a new object
constructor()
{
//Used to store all the node object in this network.
nodesArray = [Node node1, Node node2..];
//Used to store all the edge object in this network.
edgesArray = [Edge edge1, Edge edge2..];}
constructor(Network network)
{
//current mouse position
mouse = {x:0,y:0};
//network which drawn on this canvas.
network;(Network)
//The DOM element div of this canvas that will be added to our document.
div;(DOM element)
//flag for whether there is a node being dragged
dragFlag;(Bool)
}
constructor(id,from,to)
{
//Id of the edge
id;(Integer)
//node where edge start
from;(Node)
//node where edge end
to;(Node)
//flag for whether the edge is being lightend
lighten;(Bool)
}
constructor(id,color,x,y,r,shape)
{
//Id of the node
id;(Integer)
//background color of the node
color;(String)
//radius of the node
r;(Integer)
//shape of the node,there are 3 types of shape: circle, square and image. Where the shape image is for user to upload an image.
shape;(String)
//x-position of the node
x;(Integer)
//y-position of the node
y;(Integer)
//an array of Edge elements
edgesArray[Edge edge1, ..];
//flag for whether the lable is visible or not
labelvisible;(Bool)
//flag for whether the node is being dragged or not
isdragging;(Bool)
}
//Create a node in this network.
Network.createNode(id,color,x,y,r,shape)
//Create an edge in this network.
Network.createEdge(id,from,to)
//Display the network on a canvas.
Network.draw(canvas)
//Generate a random network.
Network.randomGenerator()
Generate a canvas element in DOM
//Clear the canvas.
Canvas.createNode(id,color,x,y,r,shape)
//Set the height and the width of canvas
Canvas.createEdge(height,width)
//Set the background color of current canvas.
Canvas.drawBackground(color)
Here includes the event for canvas. They have been implemented for all the networks, you don't need to specifically call them by yourself.
//Triggered when you press your mouse down.
//If the click position is within the nodes, we will enable the drag flag.
Canvas.moveDown(event)
//Triggered when you press your mouse down. We will set all drag flag to false.
Canvas.moveUp(event)
//Triggered when you move the mouse during dragging.
Canvas.mouseMove(event)
//Triggered when you double click the mouse.
Canvas.dbClick(event)
//Draw the current edge on target canvas.
Edge.drawEdge(context,lineWidth)
//Let the current edge be lightend.
Edge.lightupEdge()
//Let the current edge be lightend down.
Edge.lightdownEdge()
//Set the image for the current node.
Node.setImage(img,src)
//Draw the current node on target canvas.
Node.drawNode(context)
//We would display the current node's id.
Node.drawLabel(context)
//We would set the current node's label flag to false.
Node.showLabel(context)
//We would set the current node's label flag to true.
Node.disableLabel(context)
//Light up all edges of the current node.
Node.lightupEdges()
//Light down all edges of the current node.
Node.lightdownEdges()


Using Ant Colony Optimization
The ACO-match has a score of
A random match has a score of
ACO performs better than a random match!
This is an experimental showcase of the power of ACO algorithms as technique for solving real-life problems. In this case, a match between students and schools needs to be made by a central authority. Each student can submit a list of preferences, which are taken into account as long as the schools don't exceed their capacity. Because of this constraint, matchings can be of varying quality, and this application compares a simple ACO implementation to a random match. For the detailed experimental setup, see the code on GitHub.
Read the code on GitHub


| <type 'exceptions.AttributeError'> | Python 2.6: /usr/bin/python Wed Oct 31 03:02:57 2012 |
A problem occurred in a Python script. Here is the sequence of function calls leading up to the error, in the order they occurred.
| /home/olpc/Activities/Learn.activity/cgi-bin/fetchMilestone.py
in |
| 33 milestone = form.getfirst('milestone') |
| 34 subject = form.getfirst('subject') |
| 35 course = form.getfirst('course').replace('\n','') |
| 36 course_type = form.getfirst('course_type') |
| 37 enrollment = form.getfirst('enrollment') |
| course undefined, form = FieldStorage(None, None, []), form.getfirst = <bound method FieldStorage.getfirst of FieldStorage(None, None, [])>, ).replace undefined |
<type
'exceptions.AttributeError'>: 'NoneType' object has no attribute 'replace'
args =
("'NoneType' object has no attribute 'replace'",)
message =
"'NoneType' object has no attribute 'replace'"


It's time to Mutate
- D I G I T A L _ A V A T A R
- Anomalous Cognition
- Wearable Computing
- You lack slack, Jack.
- Are you a buttboy?
- Equal area for all continents! Area Accurate Map/The Peters Projection
- Converting Biological Signals for Levels of Negotiation as a Dynamic Interface Procedure
- Transformational Technologies - facilitating the growth and development of the human spirit.
- Wireless, real-time analysis and interactive biofeedback control of your own brain. Use your brainwaves to control MIDI devices, computers, home appliances and more with the Interactive Brainwave Visual Analyzer
- Spirit-WWW: Channelings, Lightwork, Healing, Reincarnation, UFO, Light-Tech, OBE, Yoga, Veda, Mysteries, Astrology, Journals, Networks, etc.
Keys for searching Spirit-WWW (separated by space):
- Find matches that contain
- At least one of the keys (boolean or)
All keys (boolean and)
All keys as a single string
- Case
- insensitive sensitive
- Consider keys as
- substrings complete words
- Search in
- Full Text (all words within Spirit-WWW)
- Keywords (all titles and headers)
- Glossary (phrases and word explanations)
- Resources (addresses of organizations)
- Bibliography (recommended books)
- Networks (web-sites and networks)
- Event Calendar (misc. events)
- How To Talk New Age
- Discover and explore your Seven Bodies
- Magical Blend Magazine Online!
- The Gnosis Archive
- Neurofeedback Archive - Society for the Study of Neuronal Regulation.
- Shiny happy people holding hands: Shambhala
- Council on Spiritual Practices - Techniques which facilitate a direct perception of unity and immediate encounter with the sacred.
- School of Wisdom - Dedicated to discerning the universal order and acting that way.
- The Hermits Page - Introduction to Qabalah.
- Cosmic Awareness Communications - Prolific and diverse.
- Dune Philosophy - A very special novel/film.
- Leriland! - The net's own Virtual Love Commune.
- Will Of Nature - Virtual Reality and Magick-Drugs-BodyArt-Music.
- Earth Portals means to assist in our understanding of the new metaphors of consciousness.
- IdEAL ORDER - Music, Art and Psychic TV
- Amr'ta Alchemical Medicine Research and Teaching Association: Natural Medicine, Complementary Health Care, Alternative Therapies
- Sumeria Alternative Health - Oxygen, Earth, Animals, Cosmology, NWO, Edge Science, whew.
- The Life Extension Foundation - Lengthen your stay in HELL!
- Maitreya: The World Teacher - Apparently the Buddhists have already had their second coming.


A hand-curated collection of watercolors from artists all over the world. If you'd like to see your art here, please submit it!


public class PropertiesFactory
extends java.lang.Object
| Modifier and Type | Method and Description |
|---|---|
static javax.swing.ImageIcon |
getAddImageIcon()
This method returns an
ImageIcon object, displaying the icon,
which is used to display the 'add a new card' functionality. |
static javax.swing.ImageIcon |
getAlteredImageIcon(boolean enabled)
This method returns an
ImageIcon object, displaying the icon,
which is used to display the attribute 'altered' of a card. |
static java.lang.String |
getCardDataUrl()
This method returns the url to the card data file, which holds serialized
CardBean objects. |
static javax.swing.ImageIcon |
getDeleteImageIcon()
This method returns an
ImageIcon object, displaying the icon,
which is used to display the 'delete a card' functionality. |
static javax.swing.ImageIcon |
getEditImageIcon()
This method returns an
ImageIcon object, displaying the icon,
which is used to display the 'edit a card' functionality. |
static javax.swing.ImageIcon |
getFoilImageIcon(boolean enabled)
This method returns an
ImageIcon object, displaying the icon,
which is used to display the attribute 'foil' of a card. |
static java.lang.String |
getImageDataUrl()
This method returns the url to the image files of
CardBean
objects. |
static javax.swing.ImageIcon |
getLoadingImageIcon()
This method returns an
ImageIcon object of an animated loading spinner. |
static java.lang.String |
getLogfileUrl()
This method returns the url to the log file of the application.
|
static org.apache.logging.log4j.Level |
getLogLevel()
This method returns the active log level of the application.
|
static javax.swing.ImageIcon |
getMtgBackImageIcon()
This method returns an
ImageIcon object, displaying the back of a MtG card. |
static java.lang.String |
getSetDataUrl()
This method returns the url to the set data file, which holds
serialized
SetBean objects. |
static javax.swing.ImageIcon |
getSignedImageIcon(boolean enabled)
This method returns an
ImageIcon object, displaying the icon,
which is used to display the attribute 'signed' of a card. |
static javax.swing.ImageIcon |
getUploadedImageIcon(boolean enabled)
This method returns an
ImageIcon object, displaying the icon,
which is used to display an image, uploaded by the user. |
public static java.lang.String getCardDataUrl()
CardBean
objects.CardBean
objects.public static java.lang.String getSetDataUrl()
SetBean
objects.SetBean
objects.public static java.lang.String getImageDataUrl()
CardBean
objects.public static java.lang.String getLogfileUrl()
public static javax.swing.ImageIcon getFoilImageIcon(boolean enabled)
ImageIcon
object, displaying the icon,
which is used to display the attribute 'foil' of a card.enabled
- true
if you want an enabled ImageIcon
object,
false
if you want a disabled (grayed out) one.ImageIcon
object of the 'foil' icon (enabled or disabled,
referring to the given parameter).public static javax.swing.ImageIcon getAlteredImageIcon(boolean enabled)
ImageIcon
object, displaying the icon,
which is used to display the attribute 'altered' of a card.enabled
- true
if you want an enabled ImageIcon
object,
false
if you want a disabled (grayed out) one.ImageIcon
object of the 'altered' icon (enabled or
disabled, referring to the given parameter).public static javax.swing.ImageIcon getSignedImageIcon(boolean enabled)
ImageIcon
object, displaying the icon,
which is used to display the attribute 'signed' of a card.enabled
- true
if you want an enabled ImageIcon
object,
false
if you want a disabled (grayed out) one.ImageIcon
object of the 'signed' icon (enabled or
disabled, referring to the given parameter).public static javax.swing.ImageIcon getUploadedImageIcon(boolean enabled)
ImageIcon
object, displaying the icon,
which is used to display an image, uploaded by the user.enabled
- true
if you want an enabled ImageIcon
object,
false
if you want a disabled (grayed out) one.ImageIcon
object of the 'uploaded image' icon (enabled or
disabled, referring to the given parameter).public static javax.swing.ImageIcon getAddImageIcon()
ImageIcon
object, displaying the icon,
which is used to display the 'add a new card' functionality.ImageIcon
object of the 'add a new card' icon.public static javax.swing.ImageIcon getEditImageIcon()
ImageIcon
object, displaying the icon,
which is used to display the 'edit a card' functionality.ImageIcon
object of the 'edit a card' icon.public static javax.swing.ImageIcon getDeleteImageIcon()
ImageIcon
object, displaying the icon,
which is used to display the 'delete a card' functionality.ImageIcon
object of the 'delete a card' icon.public static javax.swing.ImageIcon getMtgBackImageIcon()
ImageIcon
object, displaying the back of a MtG card.ImageIcon
object of the back of a MtG card.public static javax.swing.ImageIcon getLoadingImageIcon()
ImageIcon
object of an animated loading spinner.ImageIcon
object an animated loading spinner.public static org.apache.logging.log4j.Level getLogLevel()
ERROR
will be used as default log level.


Dashboard
Expert View Enabled
Air Quality
...
...
US AQIYour Air Quality
Overview of Pollutants by Time
Average Historical Pollutant Data by Date
"Feels Like" Temperature (Humidex)
loading..
No discomfort
Some discomfort
Dangerous
Raw Data from Sensors
| Date | Debug Counter | H2 ppm | Smoke ppm | LPG ppm | CO2 ppm | CO ppm | Alcohol ppm | Temperature °C | Humidity % | Dust Density µg/m3 |
|---|---|---|---|---|---|---|---|---|---|---|
| Date | Debug Counter | H2 ppm | Smoke ppm | LPG ppm | CO2 ppm | CO ppm | Alcohol ppm | Temperature °C | Humidity % | Dust Density ug/m3 |


Raptors are small,quick,and meat eating dinosaur.It has feathers(like our birds today).But it can't fly.One of the most common raptor is a velosiraptor.


DEPRECATED. The component is not a standard SAP Design System component.
The Approval Flow component is a complex component which tracks and manages the approval process for a business
object. From the Approval Flow component a user is able to:
- See the progress of the approval process
- Add, edit, move (drag and drop) and delete approvers
- Add and remove watchers
- Send reminder notifications to approvers


{# This simple template derives from ``base.html``. See ``base.html`` for more information about template inheritance. #} {%- extends "base.html" %} {# Loads some of the macros included with Flask-Bootstrap. We are using the utils module here to automatically render Flask's flashed messages in a bootstrap friendly manner #} {% import "bootstrap/utils.html" as utils %} {# Inside the ``content`` is where you should place most of your own stuff. This will keep scripts at the page end and a navbar you add on later intact. #} {% block content %}
This tracks the failures from build.gluster.org.
| State | Signature | Failure Count | Associated Bugs |
|---|---|---|---|
|
{% if failure["type"] == 1 %}
|
{{ failure["signature"] }} |
{{ failure["failure_count"] }} | {% for bug in failure["bugs"] %} {{bug}} {% endfor %} {% if g.user %} {% endif %} |


Class implementing the AKAZE keypoint detector and descriptor extractor
As described in [ANB13].
Note: AKAZE descriptors can only be used with KAZE or AKAZE keypoints.
References:
[ANB13]:
"Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces".
Pablo F. Alcantarilla, Jesus Nuevo and Adrien Bartoli.
In British Machine Vision Conference (BMVC), Bristol, UK, Sept 2013.
|
|
addlistener |
Add listener for event. |
|
|
clear |
Clears the algorithm state |
|
|
compute |
Computes the descriptors for a set of keypoints detected in an image or image set. |
|
|
defaultNorm |
Returns the default norm type |
|
|
delete |
Destructor |
|
|
descriptorSize |
Returns the descriptor size in floats/bytes |
|
|
descriptorType |
Returns the descriptor type |
|
|
detect |
Detects keypoints in an image or image set. |
|
|
detectAndCompute |
Detects keypoints and computes their descriptors |
|
|
empty |
Checks if detector object is empty. |
|
|
eq |
== (EQ) Test handle equality. |
|
|
findobj |
Find objects matching specified conditions. |
|
|
findprop |
Find property of MATLAB handle object. |
|
|
ge |
>= (GE) Greater than or equal relation for handles. |
|
|
getDefaultName |
Returns the algorithm string identifier |
|
|
gt |
> (GT) Greater than relation for handles. |
| Sealed
|
isvalid |
Test handle validity. |
|
|
le |
<= (LE) Less than or equal relation for handles. |
|
|
load |
Loads algorithm from a file or a string |
|
|
lt |
< (LT) Less than relation for handles. |
|
|
ne |
~= (NE) Not equal relation for handles. |
|
|
notify |
Notify listeners of event. |
|
|
save |
Saves the algorithm parameters to a file |
|
|
typeid |
Name of the C++ type (RTTI) |