midgard.site_info
midgard.site_info._site_info
Base classes for site information.
Description:
All the base classes are abstract classes. There are three base classes defined.
TODO: 'Identifier' module has no history information. ModuleBase and SiteInfoBase class are adapted to that. The question is should it be handled differently. E.g. ModuleBase.get_history() function is not needed from 'Identifier' module, but is available.
ModuleBase
Full name: midgard.site_info._site_info.ModuleBase
Signature: ()
Base class for each module of site information (e.g. Antenna, Receiver, ...).
Allows different sources of site information history to be registered.
SiteInfoBase
Full name: midgard.site_info._site_info.SiteInfoBase
Signature: (station: str, site_info: Dict[str, Any]) -> None
Site information base class defining common attributes and methods
SiteInfoHistoryBase
Full name: midgard.site_info._site_info.SiteInfoHistoryBase
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
Base class defining common attributes and methods for history classes
SiteInfoHistoryIterator
Full name: midgard.site_info._site_info.SiteInfoHistoryIterator
Signature: (site_info_history)
Iterator class for SiteInfoHistory classes
midgard.site_info.antenna
Antenna information classes
Description: This module is divided into three different types of classes:
1. Main class Antenna provides basic functionality to the user. See exampless
2. Antenna source type classes:
- There is one class for each source type.
- A class with all relevant antenna information for a point in time.
3. Antenna history source type classes:
- There is one class for each source type.
- Converts input from source_data to a object of type AntennaHistorySinex, etc and provides functions
for accessing the history and relevant dates.
- The history consist of a time interval for which the entry is valid and an instance of an antenna
source type class for each defined time interval.
If a source type does not contain information about the antenna the module will return 'None'.
Example:
from midgard import parsers
from midgard.site_info.antenna import Antenna
from datetime import datetime
# Read SINEX data
p = parsers.parse_file(parser_name='sinex_site', file_path='./data/site_info/igs.snx')
source_data = p.as_dict()
all_stations = source_data.keys()
# Get station information
Antenna.get("snx", "osls", datetime(2020, 1, 1), source_data, source_path=p.file_path)
Antenna.get("snx", all_stations, datetime(2020, 1, 1), source_data, source_path=p.file_path)
Antenna.get_history("snx", "osls", source_data, source_path=p.file_path)
Antenna.get_history("snx", all_stations, source_data, source_path=p.file_path)
Antenna
Full name: midgard.site_info.antenna.Antenna
Signature: ()
Main class for converting antenna information from various sources into unified classes
AntennaHistorySinex
Full name: midgard.site_info.antenna.AntennaHistorySinex
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
AntennaHistorySsc
Full name: midgard.site_info.antenna.AntennaHistorySsc
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
AntennaSinex
Full name: midgard.site_info.antenna.AntennaSinex
Signature: (station: str, site_info: Dict[str, Any]) -> None
Antenna class handling SINEX file antenna station information
midgard.site_info.eccentricity
Eccentricity information classes
Description: This module is divided into three different types of classes:
1. Main class Eccentricity provides basic functionality to the user. See examples.
2. Eccentricity source type classes:
- There is one class for each source type
- A class with all relevant site coordinate information for a point in time.
3. Eccentricity history source type classes:
- There is one class for each source type
- Converts input from source_data to a object of type EccentricityHistorySinex, etc and provides functions
for accessing the history and relevant dates.
- The history consist of a time interval for which the entry is valid and an instance of an eccentricity
source type class for each defined time interval.
If a source type does not contain information about the eccentricity the module will return 'None'.
Example:
from midgard import parsers
from midgard.site_info.eccentricity import Eccentricity
from datetime import datetime
# Read SINEX data
p = parsers.parse_file(parser_name='sinex_site', file_path='./data/site_info/igs.snx')
source_data = p.as_dict()
all_stations = source_data.keys()
# Get station information
Eccentricity.get("snx", "osls", datetime(2020, 1, 1), source_data, source_path=p.file_path)
Eccentricity.get("snx", all_stations, datetime(2020, 1, 1), source_data, source_path=p.file_path)
Eccentricity.get_history("snx", "osls", source_data, source_path=p.file_path)
Eccentricity.get_history("snx", all_stations, source_data, source_path=p.file_path)
Eccentricity
Full name: midgard.site_info.eccentricity.Eccentricity
Signature: ()
Main class for converting eccentricity information from various sources into unified classes
EccentricityHistorySinex
Full name: midgard.site_info.eccentricity.EccentricityHistorySinex
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
EccentricityHistorySsc
Full name: midgard.site_info.eccentricity.EccentricityHistorySsc
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
EccentricitySinex
Full name: midgard.site_info.eccentricity.EccentricitySinex
Signature: (station: str, site_info: Dict[str, Any]) -> None
Eccentricity class handling SINEX file eccentricity station information
midgard.site_info.identifier
Identifier information classes
Description: This module is divided into three different types of classes:
1. Main class Identifier provides basic functionality to the user. See examples.
2. Identifier source type classes:
- There is one class for each source type
- A class with all relevant site coordinate information for a point in time.
If a source type does not contain information about the identifier the module will return 'None'.
Example:
from midgard import parsers
from midgard.site_info.identifier import Identifier
from datetime import datetime
# Read SINEX data
p = parsers.parse_file(parser_name='sinex_site', file_path='./data/site_info/igs.snx')
source_data = p.as_dict()
all_stations = source_data.keys()
# Get station information
Identifier.get("snx", "osls", datetime(2020, 1, 1), source_data, source_path=p.file_path)
Identifier.get("snx", all_stations, datetime(2020, 1, 1), source_data, source_path=p.file_path)
Identifier
Full name: midgard.site_info.identifier.Identifier
Signature: ()
Main class for converting identifier information from various sources into unified classes
IdentifierSinex
Full name: midgard.site_info.identifier.IdentifierSinex
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
Identifier class handling SINEX file identifier station information
IdentifierSsc
Full name: midgard.site_info.identifier.IdentifierSsc
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
Identifier class handling SSC file identifier station information
midgard.site_info.receiver
Receiver information classes
Description: This module is divided into three different types of classes:
1. Main class Receiver provides basic functionality to the user. See examples.
2. Receiver source type classes:
- There is one class for each source type
- A class with all relevant receiver information for a point in time.
3. Receiver history source type classes:
- There is one class for each source type
- Converts input from source_data to a object of type ReceiverHistorySinex, etc and provides functions
for accessing the history and relevant dates.
- The history consist of a time interval for which the entry is valid and an instance of a receiver
source type class for each defined time interval.
If a source type does not contain information about the receiver the module will return 'None'.
Example:
from midgard import parsers
from midgard.site_info.receiver import Receiver
from datetime import datetime
# Read SINEX data
p = parsers.parse_file(parser_name='sinex_site', file_path='./data/site_info/igs.snx')
source_data = p.as_dict()
all_stations = source_data.keys()
# Get station information
Receiver.get("snx", "osls", datetime(2020, 1, 1), source_data, source_path=p.file_path)
Receiver.get("snx", all_stations, datetime(2020, 1, 1), source_data, source_path=p.file_path)
Receiver.get_history("snx", "osls", source_data, source_path=p.file_path)
Receiver.get_history("snx", all_stations, source_data, source_path=p.file_path)
Receiver
Full name: midgard.site_info.receiver.Receiver
Signature: ()
Main class for converting receiver information from various sources into unified classes
ReceiverHistorySinex
Full name: midgard.site_info.receiver.ReceiverHistorySinex
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
ReceiverHistorySsc
Full name: midgard.site_info.receiver.ReceiverHistorySsc
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
ReceiverSinex
Full name: midgard.site_info.receiver.ReceiverSinex
Signature: (station: str, site_info: Dict[str, Any]) -> None
Receiver class handling SINEX file receiver station information
midgard.site_info.site_coord
Site cooridnate information classes
Description: This module is divided into three different types of classes:
1. Main class SiteCoord provides basic functionality to the user. See exampless
2. Site coordinate source type classes:
- There is one class for each source type.
- A class with all relevant site coordinate information for a point in time.
3. Site coordinate history source type classes:
- There is one class for each source type.
- Converts input from source_data to a object of type SiteCoordHistorySinex, etc and provides functions
for accessing the history and relevant dates.
- The history consist of a time interval for which the entry is valid and an instance of a site coordinate
source type class for each defined time interval.
If a source type does not contain information about the site coordinates the module will return 'None'.
Example:
from midgard import parsers
from midgard.site_info.site_coord import SiteCoord
from datetime import datetime
# Read SINEX data
p = parsers.parse_file(parser_name='sinex_site', file_path='./data/site_info/igs.snx')
source_data = p.as_dict()
all_stations = source_data.keys()
# Get station information
SiteCoord.get("snx", "osls", datetime(2020, 1, 1), source_data, source_path=p.file_path)
SiteCoord.get("snx", all_stations, datetime(2020, 1, 1), source_data, source_path=p.file_path)
SiteCoord.get_history("snx", "osls", source_data, source_path=p.file_path)
SiteCoord.get_history("snx", all_stations, source_data, source_path=p.file_path)
SiteCoord
Full name: midgard.site_info.site_coord.SiteCoord
Signature: ()
Main class for converting site coordinates from various sources into unified classes
SiteCoordHistorySinex
Full name: midgard.site_info.site_coord.SiteCoordHistorySinex
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
SiteCoordHistorySsc
Full name: midgard.site_info.site_coord.SiteCoordHistorySsc
Signature: (station: str, source_data: Any = None, source_path: str = None) -> None
SiteCoordSinex
Full name: midgard.site_info.site_coord.SiteCoordSinex
Signature: (station: str, site_info: Dict[str, Any]) -> None
Site coordinate class handling SINEX file station coordinate information
SiteCoordSsc
Full name: midgard.site_info.site_coord.SiteCoordSsc
Signature: (station: str, site_info: Dict[str, Any]) -> None
Site coordinate class handling SSC file station coordinate information
midgard.site_info.site_info
Module that provides site information as unified objects independent of source.
Description:
Site information consists of antenna, eccentricity and receiver information and coordinates for a station. If a source type does not contain information about the antenna, receiver or coordinate the corresponding entry will be set to 'None'.
Example:
from midgard import parsers
from midgard.site_info.site_info import SiteInfo
from datetime import datetime
p = parsers.parse_file(parser_name='sinex_site', file_path='./data/site_info/igs.snx')
source_data = p.as_dict()
all_stations = source_data.keys()
SiteInfo.get("snx", "osls", datetime(2020, 1, 1), source_data, source_path=p.file_path)
SiteInfo.get("snx", all_stations, datetime(2020, 1, 1), source_data, source_path=p.file_path)
SiteInfo.get_history("snx", "osls", source_data, source_path=p.file_path)
SiteInfo.get_history("snx", all_stations, source_data, source_path=p.file_path)
Description:
SiteInfo
Full name: midgard.site_info.site_info.SiteInfo
Signature: ()
Main site information class for site information from various sources into unified classes


On Ftrace, kprobes, tracepoints
Posted on Wed 09 August 2017 in Performance
Note: This is going to start more as a brain-dump and over a period of time, I am going to iterate over this, till it comes in some consumable form.
Most of the Linux dynamic tracing is built around the core support in kernel called Ftrace
, this started as a function trace sub-system, but is considerably more involved now. All the major tools like LTTng, SystemTap or the more recent BCC make use of this infrastructure and then build upon it. In fact some of the kernel developments like kprobes
and uprobes
were developed in SystemTap project.
Found a good presentation, that provides a historical perspective of how many of these projects are started. I have also created a clipboard, that give a timeline of Linux tracing and evolution of BPF support. This helped me understand why some of the utilities in bcc
won't run on my Ubuntu 16.04 system.
Arguably one of the best (if not the best) resource about Linux tracing is Brendan Gregg's Blog.
Coming back to specifics - it is possible to 'trace' following -
-
A vast majority of kernel functions - those available inside
/sys/kernel/debug/tracing/available_filter_functions
. (This assumes you have mounted thetracefs
in more recent kernels (anddebugfs
in slightly older kernels) on the/sys/kernel/debug/tracing
path. It's possible to trace only a subset of those functions or functions belonging to a particular subsystem like saynet
etc. Kernel's documentation is a good starting point inside `Documentation/trace/ftrace.txt' and a few other files. -
kprobes
provided a mechanism to trace bothentry
andexit
of a function. However the mechanism to do this was slightly involved, in the absence of integration withftrace
mechanism (basically a similar mechanism to trace functions above). However withftrace
support forkprobes
, this has become very useful. -
In addition there are a number of
tracepoints
defined in various subsystems. But it's not quite clear to me - which are the use cases where it would make sense to use this mechanims as opposed to one of the above, which seem to be very flexible. -
perf
events (not fully understood yet). -
Userspace probing (not fully understood it yet).
The recent eBPF has made tracing a lot more interesting. What eBPF essentially allows is adding a code from Userspace to the kernel at the runtime, that can be interfaced with the above ftrace
mechanism. bcc
pointed above, has developed a lot of useful tools using this mechanism.
I will keep updating this article as we go along.


Wizard With Form Validation
ACCOUNT PROFILE
FACILITY STRUCTURE
PROPOSED SECURITY
COVENANTS
PRICING RATIONALE
ACCOUNT PERFORMANCE
FINAL RECOMMENDATIONS
First
Previous
Last
Next


Flow Form
Target:
Switch ID:
Table ID:
Flow Operation:
Add
Modify
Modify Strict
Delete
Delete Strict
Match Fields:
Match Any
Match Field
Value
Priority:
Idle Timeout:
Hard Timeout:
Cookie:
Cookie Mask:
Output Port:
Output Group:
Instructions:
Goto Meter:
Apply Actions:
Action Type
Value
Clear Actions
Write Actions:
Action Type
Value
Write Metadata:
Metadata Mask:
Goto Table:
Flags:
Send flow-removed msg
Check overlapping
Reset counts
Do not count packets
Do not count bytes


I Brought You My Bullets, You Brought Me Your Love is their first studio album released on July 23, 2002 by Eyeball Records.
It is often regarded as a concept album. It involves two Bonnie and Clyde-esque characters who are eventually gunned down in the desert.

Three Cheers for Sweet Revenge is their second studio album,
released on June 8, 2004 by Reprise Records.Gerard Way, the lead singer of the band, who also designed its artwork,
has described the album as a "pseudo-conceptual horror story", stating that it is "the story of a
man and a woman who are separated by death in a gunfight and he goes to hell only to realize by the
devil telling him that she's still alive. The devil says he can be with her again if he brings the devil the
souls of a thousand evil men and the man agrees to do it, and so the devil hands him a gun.
That was the idea behind the concept, the record ended up being much more about loss and real life than anything,
so I would say it's a good split."
The Black Parade is their third studio album, released on October 23, 2006, through Reprise Records.
It's a rock opera centering around the character of "The Patient". It is about his passage out of life and the memories he has of it.
"The Patient" dies and death comes for him in the form of a parade. This is based on singer Gerard Way's
notion of death appearing to a person in the form of their fondest memory, in this case seeing a parade as a child.
The album also saw the creation of the alter-ego band, The Black Parade.
Danger Days: The True Lives of the Fabulous Killjoys (often referred to as simply Danger Days) is their
fourth and final studio album, released on November 22, 2010, by Reprise Records.The album's concept is based around the lives of the
"Killjoys", a group of rebellious rogues living in a post-apocalyptic California, in the year 2019.
Like many concept records, the band members are in character, in the case of this album, as their "Killjoy" alter-egos:
"Party Poison" (Gerard Way), "Jet-Star" (Ray Toro), "Fun Ghoul" (Frank Iero), and "The Kobra Kid" (Mikey Way), which can be seen in music videos.
The Killjoys are a group of outlaws who are fighting against the evil corporation Better Living Industries (BL/ind.) and its various "Draculoids"
and executors, such as Korse (Grant Morrison).


ADRENALINE DRIVE (ADORENARIN DORAIBU)
Reviewed by Harvey Karten Shooting Gallery Film Series Director: Shinobu Yaguchi Writer: Shinobu Yaguchi Cast: Ishida Hikari, Ando Masanobu, Jovi Javi
Sociologists theorize that money does not really change people. They point to lottery winners especially from the working class, many of whom still live in the same ordinary neighborhoods, keep their regular jobs, and take the usual domestic vacations. In the long run, maybe money does not buy happiness, though the jury's still out, but in the short run big bucks can change lives. This seems to be what filmmaker Yaguchi Shinobu believes as he looks into the transformation of two young, shy Japanese people living in a regional area of the country. In a film that is part of the famed Shooting Gallery series--which brought us "Croupier," one of the most intense films of the year--Shinobu has fun by pitting some silly members of the yakuza (the Japanese mafia) against two naifs on the run with the dough. The fortunes of the two young protagonists bob up and down, and while they are fond of their yen, their yen for each other is left adorably incomplete.
Suzuki (Ando Masanobu) and Shizuko (Ishida Hikari) start off as strangers but are remarkably alike. Both suffer from inarticulateness. They seem doomed to lives of quiet desperation. Suzuki works for a rental car agency and is regularly harassed by his boss, who is eager to provoke a reaction. Shizuko, a bespectacled and dateless nurse, does not join in the usual girl talk of her two co-workers at the general hospital, presumably because she's not currently dating. When Suzuki runs into a yakuza car, he is hauled by a tall, lanky gangster, Kuroiwa (Kazue Tsunogae) to the thug's operations office when a gas explosion kills everyone but Suzuki and the almost fatally injured Kuroiwa. Brought into an ambulance by Shizuko together with the 200 million yen of gang money, Suzuki is thrown out of the vehicle together with the nurse and the money while Kuroiwa careens into a river. The shy twosome run away with the yen pursued by six punks (the comic Jovi Jova team) and later by Kuroiwa.
This Japanese version of a road-and-buddy movie combined with a comic gangster motif is hampered by poor production values. Little use is made of the regional Japanese scenery, which looks faintly like what can find in any developed country, and the pale color of photographer Takashi Hamada's film casts a generic, washed-out look throughout indoor and outside panoramas. The chase scenes could come out of any Three Stooges movie, mixing the usual conventions of the genres with the obligatory coincidences.
The young couple are attractive and undergo a thorough transformation that's credible enough, but there's little going on that we haven't seen before in any number of such works despite Shinobu's underlying purpose: to delve into the ways that sudden wealth alters everything and yet may not necessarily lead to thoroughly blissful unions. Considering the wondrous luck of the couple, they fight virtually from the beginning, their potential as a couple in doubt. Yaguchi displayed more imagination in his "My Secret Cache", involving a woman who falls into a crater with her stash of stolen money only to be flushed out to pursue the lost cash.
Not Rated. Running time: 111 minutes. (C) 2000 by Harvey Karten<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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You can generate a template for a Lumen project quickly using the command line. Many of the commands in this quick start trigger downloads of additional Maven dependencies. If you have never used Maven before or if you are going through this quick start on a new machine or with a new user account, this can be slow initially. However, once the dependent artifacts are downloaded, they are cached in a local repository and subsequent commands execute more quickly.
mvn archetype:generate -DarchetypeCatalog=http://maven.plumeframework.org/libs-release-local/archetype-catalog.xml
1
. The archetype is downloaded to your machine.org.myGroup
helloWorld
1.0-SNAPSHOT
org.myGroup
Y
[INFO] ------------------------------------------------------------------- [INFO] Using following parameters for creating project from Archetype: [INFO] ------------------------------------------------------------------- [INFO] Parameter: groupId, Value: org.myGroup [INFO] Parameter: artifactId, Value: helloWorld [INFO] Parameter: version, Value: 1.0-SNAPSHOT [INFO] Parameter: package, Value: org.myGroup [INFO] Parameter: packageInPathFormat, Value: org.myGroup [INFO] Parameter: package, Value: org.myGroup [INFO] Parameter: version, Value: 1.0-SNAPSHOT [INFO] Parameter: groupId, Value: org.myGroup [INFO] Parameter: artifactId, Value: foo [INFO] project created from Archetype in dir: /home/[INFO] ------------------------------------------------------------------- [INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------- [INFO] Total time: 33.656s [INFO] Finished at: Mon Feb 27 14:39:07 PST 2012 [INFO] Final Memory: 10M/180M [INFO] -------------------------------------------------------------------


NeighborZ
Connecting Neighbors
Welcome to NeighborZ, the online forum for connecting neighbors. NeighborZ was created in mid January 2020 by five high school students. To learn more about us, you can go to our About Us page, either by clicking that link, or using our navigation bar. Click on the hamburger menu on mobile, or the links above this text on desktop to get started :D


--- title: Binomial Distribution Examples author: David Brewer date: '2020-05-24' slug: binomial-distribution-examples categories: - Statistics tags: - R - Statistics subtitle: '' summary: '' authors: [] lastmod: '2020-05-24T23:09:32-06:00' featured: no image: caption: '' focal_point: '' preview_only: no projects: [] ---
number of scenarios can be found using the choose function written like this
Using R we can run the choose function like this:
n <- 1
k <- 4
choose(k, n)
## [1] 4
So what’s the difference between the binomial distribution and the Bernoulli distribution?
“Binomial distribution is one of the discrete probability distributions. Unlike Bernoulli distribution which asks whether or not an event occurs or happens (success vs failure) — the Binomial distribution asks about the number of times the event has successfully occurred (number of successes).”
Problem
Suppose there are twelve multiple choice questions in an statistics class quiz. Each question has five possible answers, and only one of them is correct. Find the probability of having four or fewer correct answers if a student attempts to answer every question at random.
Solution
Since only one out of five possible answers is correct, the probability of answering a question correctly by random is 1/5=0.2. We can find the probability of having exactly 4 correct answers by random attempts as follows.
dbinom(4, size=12, prob=0.2)
## [1] 0.1328756
This means there is approxamately a 13.28% chance of guessing exactly four correct answers by random attempts…or basically if enough students all took the same quiz and all students guessed randomly, ~13% would have four correct answers.
However, the question is about the probability of guessing four or less correct answers…
To find the probability of having four or fewer correct answers by random attempts, we apply the function dbinom with x = 0,1,2,3,4
dbinom(0, size=12, prob=0.2) +
+ dbinom(1, size=12, prob=0.2) +
+ dbinom(2, size=12, prob=0.2) +
+ dbinom(3, size=12, prob=0.2) +
+ dbinom(4, size=12, prob=0.2)
## [1] 0.9274445
So this means there is a ~92.7% chance of guessing four or fewer answers correct.
Taking the compliment of this probability means there is ~7.3% chance of guessing five or more answers correct.
cumulative_probability_function(4, 12, 5)
## [1] "There is a 92.74% chance of guessing 4 or fewer questions correct out of 12 multiple choice questions with 5 choices per question."
#Example of T/F questions
cumulative_probability_function(4, 12, 2)
## [1] "There is a 19.38% chance of guessing 4 or fewer questions correct out of 12 multiple choice questions with 2 choices per question."
Plotting this helps visualize what is going on here
Alternatively, we can use the cumulative probability function for binomial distribution pbinom.
pbinom(4, size=12, prob=0.2)
## [1] 0.9274445
Again there is a ~92.7% chance of guessing four or fewer answers correct.
Here is the same thing with 40 questions instead of 12:


12 winning designs from the National Gingerbread House Competition that really are good enough to eat
by Lydia Warren- 226 competitors entered their epic edible designs in the 27th Annual National Gingerbread House Competition, and the winners were announced in Asheville, North Carolina on Monday.
- The winning design by Gail Oliver, from Tennessee, shows wild animals hanging out at “The Water Hole.”
- In the child category, Adair Cary, from North Carolina, took home the top prize with a life-like polar bear design.
- Visit Insider’s homepage for more stories.
If you need some inspiration for your gingerbread house design this holiday season, look no further.
More than 220 bakers from across the US entered their edible designs in the 27th Annual National Gingerbread House Competition, and the winners were announced at The Omni Grove Park Inn in Asheville, North Carolina, on November 18.
Competitors used power tools, moving mechanical parts, melted sugar, and a whole lot of creativity to cook up some truly epic designs.
Keep scrolling to see the winners of this year’s competition.
This incredibly detailed design showing animals at “The Water Hole” took home the grand prize.
It was made by Gail Oliver, from Johnson City, Tennessee. While she had entered several times before and even placed in the top 10, this was her first win.
Oliver’s design includes a monkey, a flamingo, and a toucan.
The figures in the design were sculpted out of ginger clay consisting primarily of ground gingerbread.
On the other side of the gingerbread house, an alligator lazes in a hammock.
Some of the houses can take up to 600 hours to create, according to the organizers. While Oliver did not track the hours she put in to her design, it took her “months and months.”
The artist, Gail Oliver, poses with her beautiful design.
She topped the list of 226 competitors with “The Water Hole” and won a $5,000 check. In total, more than $25,000 in cash and prizes were awarded at the event.
This mind-bending design took second place in the adults category.
It was designed by Beatriz Muller from Innisfil, Ontario, in Canada.
The winners were selected by a panel of judges including celebrity chef Carla Hall, James Beard Award-winning chef Cheryl Forberg, and Mark Seaman, the master sugar artist for chocolate company Barry Callebaut.
In third came this realistic-looking wagon sitting on snow.
It’s the brainchild of Larry and Julia Vorpahl from Ellijay, Georgia.
Incredibly, every design featured in the competition is 100% edible – and the judges check.
In the teen category, this festive winter village took the top prize.
This detailed Christmas scene was the work of students in the German program at Courtland High in Spotsylvania, Virginia.
It’s the sixth consecutive win for the school’s program.
This design of a vegetable truck took second place in the teen category.
It was created by Sarah and Jenna Rhinehart from Columbia, Tennessee.
This snowy cabin snagged third place in the teen category.
The Institute of Innovation in Gaffney, South Carolina, created this beautiful design.
This design, a nod to “a coat of many colors,” took first place in the youth category.
The youth category is for artists aged between 9 and 12. This design, which showed a modern and a biblical interpretion of “a coat of many colors,” is by Anderson Adams of Raleigh, North Carolina.
A wooden piano, complete with a rug, sheet music, and pot plants took second place.
It’s by Evalyn Routh of Climax, North Carolina.
Caroling penguins came in third.
It’s the work of Emma Rhinehart from Columbia, Tennessee.
In the children’s category, this polar bear and fairy took the top spot.
Adair Cary of Marshall, North Carolina, was named the winner of the child’s category, which includes designs by children aged 5 to 8.
Unlike the other categories, competitors in the child category aren’t allowed to sculpt with melted sugar.
A warming fireplace decorated with trees, gifts, and elves came in second.
It’s the work of the Tinker Kids from Lexington, Kentucky.
This candy land came in third in the children’s category.
It was made by the Glitter Girls of Blue Ridge in Georgia.
All of the winners will be on display until January 4, 2020, at the Omni Grove Park Lodge in North Carolina.