METRO I've seen San Francisco in movies many times. There was 1994's Interview With The Vampire and most recently The Rock. Now, yet again, San Francisco is the setting for this movie. Eddie Murphy stars as Inspector Scott Roper of the SFPD. he is their top hostage negotiator, and the very best at what he does. When his best friend on the force is killed by Joe (Michael Wincott, in a terrific performance), a psychotic, demented jewel thief, Roger makes it his mission to capture the guy before he strikes again. Meanwhile, Roper tries to rekindle a relationship with his British ex-girlfriend Veronica, while helping to rear a new up and comer from SWAT who's an expert sniper and marksman (Michael Rappaport). Despite the obligatory cop movie scenes (does EVERY cop/new partner movie have to start the same way?) where the Sgt. assigns Roper a partner, Roper confronts the sarge, etc., this film is still one heck of an explosive ride. A scene involving a cable car has to be seen to be believed, and boasts some amazing car stunts. Eddie Murphy shines in this tailor-made role, and for once, his character shows depth and concern. When confronting Joe in prison, you can feel the anger drip from every word. Michael Rappaport is basically throwaway. He serves no purpose, except to be buddy to Murphy and get disabled in the final reel so that Eddie can save the day. Typical action escapist fare. Michael Wincott offers the best performance as the crazed killer and jewel thief Joe. Never before have I seen such a villian written like this where I could actually believe that he was serious and take him seriously. Maybe I just thought that this role was different due to Wincott's perfectly raspy voice. I don't know. What I do know, though, is that although Metro is basically a typical action retread, it manages to cover new ground and shed new light on tired old cliches'. The film is a triumph, and an entertaining one at that. it doesn't meander or trail off from its main character. An enjoyable two hours, Metro is enjoyable, witty, action-packed, and fun, and makes for a great action movie that's perfect for all of us that need an escape from reality.
METRO
MPAA Classification: R
Rating: *** (out of four)
Running Time: 125 min.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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NFL schedule Week 11: What games are on today? TV channels, times, scores
by James Crabtree-HanniganThe most noteworthy event of the week likely happened during the Thursday night game, but there's still the rest of the Week 11 NFL schedule to play Sunday and Monday.
Among those games are the Patriots facing the Eagles, and the Ravens hosting the Texans, though the odds of those matchups replicating the fireworks of the brawl between Cleveland and Pittsburgh are low.
The 49ers will look to recover from their first loss of the season at home against the Cardinals, who nearly beat San Francisco two weeks ago.
In the AFC South, the Colts take on the Jaguars as both teams try to keep pace with Houston.
WEEK 11 NFL PICKS: Against the spread | Straight-up predictions
NFL schedule Week 11: What games are on today?
Here's the full schedule for Week 11 of the 2019 NFL season, plus final scores and how to watch every game live.
You can keep up with live scores and stats with SN's live scoreboard.
Note: National broadcasts are listed in bold
Sunday, Nov. 17
| Game | Time | TV |
|---|---|---|
| Cowboys vs. Lions | 1 p.m. | Fox |
| Jaguars vs. Colts | 1 p.m. | CBS |
| Bills vs. Dolphins | 1 p.m. | CBS |
| Broncos vs. Vikings | 1 p.m. | CBS |
| Saints vs. Buccaneers | 1 p.m. | Fox |
| Jets vs. Redskins | 1 p.m. | Fox |
| Falcons vs. Panthers | 1 p.m. | Fox |
| Texans vs. Ravens | 1 p.m. | CBS |
| Cardinals vs. 49ers | 4:05 p.m. | Fox |
| Bengals vs. Raiders | 4:25 p.m. | CBS |
| Patriots vs. Eagles | 4:25 p.m. | CBS |
| Bears vs. Eagles | 8:20 p.m. | NBC |
Monday, Nov. 18
| Game | Time | TV |
|---|---|---|
| Chiefs vs. Chargers | 8:15 p.m. | ESPN |
MORE: NFL TV coverage map for Week 11
How to watch, live stream NFL games
Week 11 kicked off Thursday night with a headline-grabbing game between the Browns and the Steelers, which featured a wild brawl that led to three suspensions and more than $500,000 in fines.
Sunday's slate begins with eight 1 p.m. games. The highlight is the Ravens hosting the Texans, a matchup between electrifying young QBs Lamar Jackson and Deshaun Watson. The NFC South is playing intra-divisional games, offering plenty of potential for movement in the divisional standings.
As for the late afternoon games, the Patriots travel to Philadelphis to battle the Eagles on CBS, and the Cardinals will look to dish the 49ers their second straight loss.
The remaining two primetime games of the week will beginSunday night with the Bears going on the road to take on the Rams, and on Monday night, the Chargers host Patrick Mahomes and the Chiefs.
NFL Week 11 scores
Thursday, Nov. 14
| Game |
|---|
| Browns 21, Steelers 7 |
Sunday, Nov. 17
| Game |
|---|
| Cowboys vs. Lions |
| Jaguars vs. Colts |
| Bills vs. Dolphins |
| Broncos vs. Vikings |
| Saints vs. Buccaneers |
| Jets vs. Redskins |
| Falcons vs. Panthers |
| Texans vs. Ravens |
| Cardinals vs. 49ers |
| Bengals vs. Raiders |
| Patriots vs. Eagles |
| Bears vs. Rams |
Monday, Nov. 18
| Game |
|---|
| Chiefs vs. Chargers |


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Techqueria is a 501c3 nonprofit that empowers Latinx professionals with the resources and support that they need to thrive and become leaders in the tech industry.
Founded in 2015, Techqueria is the largest community of Latinx professionals in tech in the U.S. with over 11,000 members and 7 chapters. Their online Slack community has nearly 8,000+ members and 2,000+ weekly active users.
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--- layout: default css_id: news ---
| 10/14/19 | Tobias Furuholm presented in-toto at the CASTOR Software Days and shared a video recording and his slides with us. |
| 10/02/19 | Adrian Colyer wrote an article about in-toto in "the morning paper". |
| 07/09/19 | in-toto was featured in the blog post "33(+) Kubernetes security tools." | 06/08/19 | We demonstrated how reproducible builds can be verified on "apt install" using in-toto at MiniDebConf Hamburg. You can watch it online. |
| 06/03/19 | Datadog has deployed TUF and in-toto into their pipeline! Read more here. |
| 05/22/19 | We hosted a TUF deep dive session featuring in-toto at KubeCon Europe. A recording is available on YouTube. |
| 06/01/19 | Our paper "in-toto: providing farm-to-table security properties for bits and bytes" was accepted into USENIX '19 More information about it here |
| 02/13/19 | We've worked alongside with Control Plane to make a test deployment of Kubesec using in-toto. |
| 01/07/19 | We released the first version of the official in-toto Jenkins plugin. This provenance Agent will help you track and sign link metadata for any step within your pipeline in a secure and distributed way. | 10/19/18 | Colin Domoney gave a talk on this year's DevSecCon London. He covered some of the fundamentals of in-toto to protect your cloud native deployment, as well as some other good supply-chain security practices. |
| 05/29/18 | Pacman 5.1 has been released!. This new version adds support for reproducible builds, and includes a security check for tampered git tag metadata. |
| 05/17/18 | A LWN article has been published, covering various supply chain security issues and their solutions, including grafeas, the update framework, and in-toto. |
| 05/02/18 | We presented in-toto along with Grafeas in Kubecon 2018. |
| 04/12/18 | Grafeas mentioned the in-toto integration plans on today's Google Cloud platform blog. | 03/03/18 | Our le-git-imate paper on improving the security of web-based Git repositories has been accepted at ASIACCS 2018! |
| 02/20/18 | We will present an integration of in-toto and Grafeas at KubeCon + CloudNativeCon Europe 2018 on May 2 in Copenhagen, Denmark. |
| 10/17/17 | A fix to our git tag metadata tampering attack paper [USENIX'16] has been included in the master branch of the pacman package manager and will be included in the next release. |
| 08/10/17 | Lukas presented in-toto at Debian's Debconf 2017. You can watch the video of the talk here. |
| 02/06/17 | We presented a demo of in-toto at Dockercon 2017. You can watch the video here. |
| 01/17/17 | A fix to our git tag metadata tampering vulnerability was merged into git's master branch and will be available starting from git v2.12. You can read more about it in our [USENIX'16] paper. |
| 10/14/16 | We presented a demo of in-toto in the Docker Distributed System Summit. You can watch the video here. |
| 10/07/16 | We are live! please check back soon for more updates. |


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Minimal Data Management System
pyLabbook provides a robust minimal Data Management System (mDMS) that is designed to be extended, by you, with structure that is relevant to your research. pyLabbook offers a single table schema as well as a versatile, two table hierarchical schema you can use to create a wide variety of structures for your data. These schemas are both built on top of the pyLabbook mDMS. Understanding how this mDMS infrastructure is setup will help you get the most out of pyLabbook.
Protocols Specify the Structure of a Set
Scientific data is usually associated with some procedure, or protocol that provides instructions for how to perform an experiment. Protocols also define the conditions and results of those experiments, which together, specify a complete set of properties associated with the protocol. For example:
| protocol aim | conditions | results |
|---|---|---|
| measure the potency of an inhibitor | name of inhibitor used, name of target used | measurements of target activity across inhibitor concentrations |
| identify side effects of a drug | dosage, schedule, coded patient id | blood pressure, blood-work results, questionnaire scores |
| tracking animal habitats | species, animal id, family id | GPS position of the animal at different times |
| identify microbiomes that are associated with disease | coded patient or tissue id, patient afflictions and health problems | measurements of bacteria species proportionality |
| produce crystal structures | temperature, solvent, protein concentration, crystallization method | crystal size, shape, diffraction, resolution |
The properties (conditions and results) of a pyLabbook protocol represent columns of the protocol’s set table. When an experiment is run, each unique combination of conditions and results form a single row in that table, which is called a set.
A set is a single set of conditions and results that are asscoiated with a single performance of a protocol. The properties of a set are defined, as table columns for a set table, by a pyLabbook protocol.
Experiments
An experiment is a specific run, or performance of a protocol that may involve multiple sets. For example, an inhibitor can be tested against multiple targets in a single run of an inhibitor protocol, and multiple conditions for protein crystallization can be tested in a single run of a crystallization protocol.
Samples
A protocol’s set table describes the properties of each set as single-value components. For example, the name of an inhibitor is a string of characters, just like the coded id of a patient, or the name of a solvent used to create a protein crystal.
Composite properties, however, are constructed or calculated from several single-value components. For example, the potency of an inhibitor is calculated from multiple inhibitor activity measurements across a range of concentrations. These measurements create a curve that potency is calculated from. Likewise, the microbiome of a tissue sample is constructed from measurements of the size of individual bacteria populations from that sample.
To accommodate composite properties, pyLabbook uses an optional sample table, where each row represents a single component of the property. For example, each point on an inhibitor curve is a single sample. The size or proportion of a certain bacterial species in a tissue would also be a single sample. Together, these samples are associated with a single set.
Samples have properties just like sets do, and these properties are defined by a protocol as columns of the sample table. They only difference is that samples cannot have composite properties.
Minimal Protocol Structure
pyLabbook uses a minimal data structure that every protocol is built around. This minimal structure maintains the integrity and identity of your data by:
- Ensuring that even if you don’t specify any properties for a protocol, you can still uniquely identify experiments, sets and samples.
- Creating the appropriate database structure needed to link samples with sets
Maintaining the identity and relationships of your data is an important feature of the mDMS that is handled using a series of identifiers:
Set Table id Columns
| id | description |
|---|---|
experiment_id |
uniquely identifies an experiment within the protocol’s set and sample tables of a labbook’s database |
set_id |
uniquely identifies each set within an experiment |
Sample Table id Columns
| id | description |
|---|---|
experiment_id |
uniquely identifies an experiment within the protocol’s set and sample tables of a labbook’s database |
set_id |
uniquely identifies each set within an experiment |
sample_id |
uniquely identifies each sample within a set |
replicate |
uniquely identifies each replicate of a sample |
An empty protocol, with no properties defined, will still have experiment_id
and set_id
columns in its set table, and experiment_id
, set_id
, sample_id
and replicate
columns in its sample table. When you design your protocols, you add your own properties/columns to these set and sample tables. These identifiers ensure that no matter how you design your protocols, your data will always retain a minimum level of identity.
Values for these identifiers are assigned, by you, when you create experiments and enter your data into pyLabbook. To help you get the most out of this system, we offer some recommendations and conventions for assigning these id values.
Identifier Conventions
The identifiers of pyLabbook’s mDMS are assigned by you when you enter data or initialize experiments. This allows you to identify your data with custom, meaningful values that can make searching and filtering easier.
All of the id’s are restricted to A-Z, a-z, 0-9, _ and - characters. No spaces, no commas or periods, no special characters. This restriction is imposed because some of these identifiers are used to construct file names or folder names. Special characters, spaces, commas and periods can seriously complicate a labbook’s file repository. It’s also a good idea to make sure your id’s don’t begin with the number zero because leading zeros are usually trimmed by auto-formatters in other software.
The following are some recommendations for assigning id values:
| id | recommendation |
|---|---|
experiment_id |
[ME][YYYYMMDD][#] where [ME] is a series of characters that identify you (like your initials), [YYYYMMDD] is the date the experiment will be or was performed on and [#] is an additional number to distinguish between multiple experiments, run by you, on the same day. |
set_id |
Any value that is unique among all the sets within the experiment. |
sample_id |
any value that is unique among all the samples in the set. |
replicate |
any value that is unique among all the replicates in the sample. |
The most complex id is the experiment_id
, because it must uniquely identify your data among data that may belong to others. The remaining ids can be simple numeric sequences or they may be constructed from meaningful information in a way that is consistent across multiple experiments.
For example, inhibitor potency protocols often measure activity on microplates, where each row of wells are the samples of a set. A set_id
might represent the row on the plate that was used. It’s important, however, to keep your id assignments simple and compact because they are the minimum, fail-safe identity for your data.


What is Jedha x Holi.io text analizer? It's a new beautiful AI model wraped into an API and a live application to help you analize your texts.
You will have two outputs:
I. General URL
https://jedha-holi-text-analyzer.herokuapp.com/api
II. Endpoint POST /api
This endpoint allows you to extract keyphrases and find the topics from a text.
Shape of the input data:
You should request this endpoint using a POST method with a json. The json must be provided with 4 items (key : value)
The keys must be strings and the keys' names must be exactly the ones provided in this documentation:
- "text" : The text you want to analyze
- "l_keywords" : The number of words you want in each keyphrase extracted. It must be an integer between 1 and 3
- "n_keywords" : The number of keyphrases you want to extract. It must be an integer between 4 and 6
- "n_topics" : The number of topics you want to extract. It must be an integer between 4 and 6
EXAMPLE OF JSON: request an analize for one of the first phrases of the
Wikipedia's definition of Economy , with 3 keyphrases of length 1 and then 3 topics.
{
"text : "In general, it is defined 'as a social domain that emphasize the practices, discourses, and material expressions associated with the production, use, and management of resources'. A given economy is the result of a set of processes that involves its culture, values, education, technological evolution, history, social organization, political structure and legal systems, as well as its geography, natural resource endowment, and ecology, as main factors",
"l_keywords" : 1,
"n_keywords" : 3,
"n_topics" : 3
}
Request this endpoint with python
EXAMPLE:
>>> myjson ={
>>> "text : "Amnesty International (also referred to as Amnesty or AI) is an international non-governmental organization",
>>> "l_keywords" : 1,
>>> "n_keywords" : 3,
>>> "n_topics" : 3 }
>>> res = requests.post(https://jedha-holi-text-analyzer.herokuapp.com/api, myjson)
>>> assert res.status_code == 200
>>> print(res.json())
If successful, it returns a JSON like:
{'keywords': ['Domain', 'Economy', 'Ecology'], 'topics': ['Finance', 'US_politics', 'Military']}
III. Errors
Our API will return an error code 200 and a JSON
{'keywords': ['No keyword found'], 'topics': ['No topic found']}
-


- Please read the annotation guideline carefully.
- In the following stage, you will need to annotate if the sentences meet the rules.
-
The guideline helps to classify an example sentence that is not "good" for the language learners.
If a sentence contains any of the following characteristics, then it is not an acceptable example sentence for English learners.
Condition 1: Suitability
1. The blank can be filled with either word in the word set while the sentence is still logical.
Key wordpair: accessible / available
They are attempting to make operate _____ (accessible / available) to a wider audience.
2. The blank can with multiple possible candidates not limited to the word set.
Key wordpair: abrupt / harsh
I was poorly received and the general tone of the person assisting me was rude and _____ (harsh / unpleasant / ......).
3. Rare usage or secondary meaning.
Keyword: becoming
Her dress was becoming and made her look even more beautiful.
Keyword: tiny
After his marriage his tiny sculptures became larger, but the larger they grew, the thinner they became.
Condition 2: Informative
1. Lacks the information to guess the meaning of the keyword.
Keyword: skilled
It and its English derivative "s" thus describe people who are skilled at dining, particularly the refined conversation expected to accompany Greek symposia.
Sentence with useful information that helps to predict the meaning of the keyword:
In the sourcebooks, they are often referred to as cunning shapeshifters, skilled fighters, and capable generals.
2. Long and does not add any useful information to help to guess the meaning of the keyword.
Keyword: accountability
Security issues have been categorised into sensitive data access, data segregation, privacy, bug exploitation, recovery, accountability, malicious insiders, management console security, account control, and multi-tenancy issues.
3. Requires background knowledge to understand the sentence.
Keyword: responsibility
External and offensive counter-intelligence, counter-terrorism, and some direct action is the general responsibility of Mossad, although military units will carry out specific counterterrorism actions.
Keyword: achievement
Article 56 requires members to "take joint and separate action in cooperation with the Organization for the achievement of the purposes set forth in Article 55."
Condition 3: Diversity
When classifying acceptable/ unacceptable example sentences, please consider diversity and phrase usage.
1. Similar word usage should only appear once. Only choose one when there are multiple sentences with the similar word usage.
keyword: little
After founding the Institute he had little time for composing, and appears to have concentrated exclusively on teaching.
When she finds out the truth, she makes a fateful decision to make the most of the little time they have together.
2. Similar phrase usage should only appear once. Only choose one when there are multiple sentences with the similar phrase usage.
keyword: real
The normal distribution is symmetric about its mean, and is non-zero over the entire real line.
For example, consider formula_32 and formula_33, the infinite direct product and direct sum of the real numbers.
Condition 4: Sentence Complexity
1. Contains more than two complex modifiers, such as clauses, prepositional phrases, Infinitive phrases, Participle phrases, etc.
The methods that a community devises to perpetuate itself come into being to preserve aspects of cultural legacy that the community perceives as essential.
2. Complex appositive.
Moreover, I can feel strong emotion in response to objects of art that are interpretations, rather than representations, or reality.
Condition 5: Lexical Complexity
1. Wrong part of speech.
key wordpair: elder/ elderly -> adj pair
The Rumbia's leaves can be woven into a roof, the women are trained by their elders (women) to inherit the rumbia-weaving skill.
2. Too many acronyms.
Keyword: briefly
Between 2010 and 2014, PSYOP was renamed Military Information Support Operations (MISO), then briefly renamed PSYOP in Aug 2014, only to return to MISO shortly thereafter in 2015.
3. Too many proper nouns.
Keyword: former
It was inspired by BBI's original "Mystery Science Theater 3000" TV series, and was directed by former Executive Producer Jim Mallon.
* Avoid proper noun that changes the meaning of the keyword.
-
Please determine whether the sentence is good for learner to differentiate delay and postpone.
-
Select 3 sentences for delay and 3 sentences for postpone
according to the annotated condition [Accept / Suitability / Informative / Diversity / Sentence Complexity / Lexical Complexity].
-
The Accept sentence should be better for learners.
-
If there are more than 3 acceptable sentences, please consider the usefulness for language learners.
-
You can relax the condition if there are less than 3 acceptable sentences.
But please follow the order [Lexical Complexity] -> [Sentence Complexity] -> [Diversity] -> [Informative] -> [Suitability].
-
For example, if there are less than 3 acceptable sentences, treat [Lexical Complexity] as an acceptable condition.
By doing so, if there are still less than 3 acceptable sentences, treat [Sentence Complexity] as an acceptable condition.
delay - ( 0 )
He delayed any personal appearances until after Roosevelt's nomination was secured.
Delays led to it being outnumbered in use by the Sherman Firefly—but a derivative of Challenger was the more or less open-topped variant "Avenger", which was delayed until post war before entering service.
The lake also delays the warming of the area in spring.
Unlike other Italian units nearby, it maintained constant contact with the enemy, constantly setting up delaying battles.
In the letter she criticised the BCCI for delaying the decision to institute the lecture.
The departure of "Furious" was delayed by technical difficulties caused by the flight deck, that sloped upwards to a point amidships.
In addition, the glaciers delay the onset of spring-summer runoff, compared to unglaciated river basins.
He considerably hampered his own party's campaign effort by staging a very lavish international farewell tour at taxpayer expense, and by delaying his retirement until there were only two-and-a-half months left in the Tories' five-year mandate.
Cavin designed an active all-pass network to time-align the passbands, slightly delaying the low frequencies to match the highs.
This prompted the British second-in-command, Colonel Arthur Brooke of the 44th Regiment of Foot, to later decide to have his troops remain on the battlefield for the evening and night, treating the wounded at a nearby Methodist meeting house (church), and evacuating some by barge south down Bear Creek to the offshore Fleet in the Patapsco River, thus delaying by a day his northwestward advance against Baltimore.
postpone - ( 0 )
Rumours circulated afterwards, and were propagated by film director Pedro Almodóvar, that the government had approached King Juan Carlos and asked him to postpone voting, which the King responded would constitute a coup d'état.
The Créteil–Laval and L'Entente SSG–Metz matches were postponed due to inclement weather.
The future wedding is postponed even further when an ambitious business man, by the name of Kirk Cranston, comes to town.
Following the surgery, Live Nation announced that the opening concert in Salt Lake City, which had been scheduled to take place on 3 June 2010, would be postponed to a later date, with other dates also potentially being affected.
New schemes are postponed or cancelled and existing schemes are being closed.
On 6 December 2008, Nicolas Sarkozy, as part of France's then presidency of the Council of the EU, met the Dalai Lama in Poland and outraged China, which has announced that it would postpone the China-EU summit indefinitely.
The same day, Maldivian President Abdulla Yameen also postponed his state visit to Pakistan indefinitely, in view of the prevailing situation.
Shortly thereafter, Disney postponed the film's release date to July 9, 2021.
His father (a working-class Thames waterman) has his doubts, since this will mean Twigg postponing his hard-won scholarship to Oxford University, but they eventually agree.
Pressured by the military, Khan postponed the inaugural session, and ordered the arrests of Mujibur and Bhutto.


Deploying the EPR in North America
|
|
With the construction of two AREVA EPR nuclear plant projects underway in Europe, the basic design is now being introduced to the North American electric generation industry. The EPR is an evolutionary nuclear power reactor with advanced features based on proven global technology. These features have been incorporated into a design for the North American market that has greater safety margin, wider operating margin, and economic lifecycle costs. The EPR is being licensed in the U.S. and is available to fill the need for new nuclear generation in the U.S. and Canada in the near term. |
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MetroCon 2007 |
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“Innovating for Society” |
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Power Engineering |
|
In his current position, Mr. Bonsall manages the business development and related program activities for advanced light water reactors in AREVA’s New Plants Deployment organization. The advanced plant presently being marketed and introduced into North America by the company is the US EPR (Evolutionary Power Reactor), a large, 1600 MWe, 4-loop pressurized water reactor. Prior to joining the company, Mr. Bonsall worked in various capacities for Duke Energy Corporation for 22 years from 1980 until 2002 where he managed a wide range of both nuclear and nonnuclear engineering and technical service activities. He was executive vice president at Duke Engineering & Services in 2002 when it was acquired by AREVA. Mr. Bonsall began his engineering career in 1971 working 9 years for Babcock & Wilcox Company in the nuclear reactor group in Lynchburg, Va. Mr. Bonsall is a registered professional engineer in both North and South Carolina. He is a past president of the Piedmont Carolina’s section of the American Nuclear Society. Mr. Bonsall graduated from Rutgers University where he received his BS and MS degrees in Mechanical Engineering. |
|
About the Speaker: |


The first post is pretty simple
The second post is pretty much the same
The third post is quite straightforward


Primitives¶
-
clear_param_store
()¶ Clears the ParamStore. This is especially useful if you’re working in a REPL.
-
get_param_store
()¶ Returns the ParamStore
-
iarange
(*args, **kwds)¶ Context manager for ranges indexing iid variables, optionally subsampling.
WARNING: This is only correct if all computation is iid within the context.
By default subsample_size=False and this simply yields a torch.arange(0, size). If 0 < subsample_size <= size this yields a single random batch of indices of size subsample_size and scales all log likelihood terms by size/batch_size, within this context.
Parameters: - name (str) – A name that will be used for this site in a Trace.
- size (int) – Optional size of the collection being subsampled (like stop in builtin range).
- subsample_size (int) – Size of minibatches used in subsampling. Defaults to size.
- subsample (Anything supporting len().) – Optional custom subsample for user-defined subsampling schemes. If specified, then subsample_size will be set to len(subsample).
- use_cuda (bool) – Optional bool specifying whether to use cuda tensors for subsample and log_pdf. Defaults to torch.Tensor.is_cuda.
Returns: A context manager yielding a single 1-dimensional torch.Tensor of indices.
Examples:
# This version simply declares independence: >>> with iarange('data'): observe('obs', normal, data, mu, sigma) # This version subsamples data in vectorized way: >>> with iarange('data', 100, subsample_size=10) as ind: observe('obs', normal, data.index_select(0, ind), mu, sigma) # This wraps a user-defined subsampling method for use in pyro: >>> ind = my_custom_subsample >>> with iarange('data', 100, subsample=ind): observe('obs', normal, data.index_select(0, ind), mu, sigma)
See SVI Part II for an extended discussion.
-
irange
(name, size, subsample_size=None, subsample=None, use_cuda=None)¶ Non-vectorized version of iarange. See iarange for details.
Parameters: - name (str) – A name that will be used for this site in a Trace.
- size (int) – The size of the collection being subsampled (like stop in builtin range).
- subsample_size (int) – Size of minibatches used in subsampling. Defaults to size.
- subsample (Anything supporting len().) – Optional custom subsample for user-defined subsampling schemes. If specified, then subsample_size will be set to len(subsample).
- use_cuda (bool) – Optional bool specifying whether to use cuda tensors for log_pdf. Defaults to torch.Tensor.is_cuda.
Returns: A context manager yielding a single 1-dimensional torch.Tensor of indices.
Examples:
>>> for i in irange('data', 100, subsample_size=10): if z[i]: # Prevents vectorization. observe('obs_{}'.format(i), normal, data[i], mu, sigma)
See SVI Part II for an extended discussion.
-
map_data
(name, data, fn, batch_size=None, batch_dim=0, use_cuda=None)¶ Data subsampling with the important property that all the data are conditionally independent.
With default values of batch_size and batch_dim, map_data behaves like map. More precisely, map_data(‘foo’, data, fn) is equivalent to [fn(i, x) for i, x in enumerate(data)].
Parameters: - name (str) – named argument
- data – data to subsample
- fn (callable) – a function taking (index, datum) pairs, where dataum = data[index]
- batch_size (int) – number of samples per batch, or zero for the entire dataset
- batch_dim (int) – dimension to subsample for tensor inputs
- use_cuda (bool) – Optional bool specifying whether to use cuda tensors for log_pdf. Defaults to torch.Tensor.is_cuda.
Returns: a list of values returned by fn
-
module
(name, nn_module, tags=’default’, update_module_params=False)¶ Parameters: - name (str) – name of module
- nn_module (torch.nn.Module) – the module to be registered with Pyro
- tags (string or iterable of strings) – optional; tags to associate with any parameters inside the module
- update_module_params – determines whether Parameters in the PyTorch module get overridden with the values found in the ParamStore (if any). Defaults to False
Returns: torch.nn.Module
Takes a torch.nn.Module and registers its parameters with the ParamStore. In conjunction with the ParamStore save() and load() functionality, this allows the user to save and load modules.
-
observe
(name, fn, obs, *args, **kwargs)¶ Parameters: - name – name of observation
- fn – distribution class or function
- obs – observed datum
Returns: sample
Alias of pyro.sample.
Only should be used in the context of inference. Calculates the score of the sample and registers it in the trace data structure.
-
param
(name, *args, **kwargs)¶ Parameters: name – name of parameter Returns: parameter Saves the variable as a parameter in the param store. To interact with the param store or write to disk, see Parameters.
-
random_module
(name, nn_module, prior, *args, **kwargs)¶ Parameters: - name (str) – name of pyro module
- nn_module (torch.nn.Module) – the module to be registered with pyro
- prior – prior distribution or iterable over distributions
Returns: a callable which returns a sampled module
Places a prior over the parameters of the module nn_module.
-
sample
(name, fn, *args, **kwargs)¶ Parameters: - name – name of sample
- fn – distribution class or function
- obs – observed datum (optional; should only be used in context of inference) optionally specified in kwargs
- baseline (dict) – Optional dictionary of baseline parameters specified in kwargs. See inference documentation for details.
Returns: sample
Samples from the distribution.


{* this email is sent to the job customer after an applicant applied for his job; function sendCandidateApplyDetails() if CSM setting fo_candidates.uts_print_cv_email_customer (1535) is ON *}
[t]Dear {$customerName|escape},[/t]
[t]A new applicant has applied for your job: {$jobTitle|escape}[/t]
[t]Candidate details:[/t]
{$candidateDetails}
[t]Find attached the CV of the candidate.[/t]
[t]Kind regards,[/t]
[t]Remark: this e-mail message has been automatically generated[/t]


%include file="header-jquery.html" />
Run the algorithm:
Or you can run it after selecting a subimage by clicking two opposite corners of the subimage.
Please select the second corner of the subimage:
The algorithm will run on this selected subimage:


Change Faction Colors Dialog
This dialog allows you to edit the color codes for all player factions.
- Choose Change Color… (Alt+C) to display a standard Windows “Color” dialog, allowing you to change the color of the selected faction in the Faction List.
- Choose Reset Colors (Alt+R) to reset the colors of all factions to their default values, according to the current faction sequence.
- Faction List
- Choose OK or press Enter when the focus is on the list to accept any changes made and dismiss the dialog.
- Choose Cancel or press Escape to discard any changes made and dismiss the dialog. Closing the window using X (Close) or Alt+F4 has the same effect.
- Choose Help or press F1 to show this help page.
This list shows the identifiers of all factions currently defined on the Factions Page, along with their current colors.
- Column Faction shows the unique internal identifier associated with each faction.
- Column Color shows the color that represents each faction on a color-coded display, as well as its hexadecimal ARGB representation.
- Left-click on an entry to select it.
- Double-click on an entry to display a standard Windows “Color” dialog for the selected faction, as with the Change Color… button.
Remarks
1. The Faction List is empty only if no factions are currently defined. Every faction is always associated with a color code.
2. The default color for a faction is one out of eight predefined colors which correspond to positions on the Factions Page. Once created, a faction will keep its assigned color, default or otherwise, even when it is moved to another list position. The Reset Colors button will reassign default colors based on each faction’s current list position, however.


--- layout: page status: publish published: true title: Retail Culinary Water Suppliers author: display_name: Jessie Pechmann login: jpechmann email<EMAIL_ADDRESS>url: '' author_login: jpechmann author_email<EMAIL_ADDRESS>date: '2016-07-12 18:14:11 -0700' categories: [] tags: - sgid - Water - Data - utah - gis - potable - public - industrial - municipal - suppliers ---
Abstract: This dataset attempts to represent the retail culinary water suppliers service area boundaries for the State of Utah, with a small selection of suppliers in Idaho and Wyoming represented as well. Data sources include the Utah Division of Water Resources, Utah Division of Drinking Water, Utah Division of Water Rights, Utah Division of Public Utilities, and the Utah Automated Geographic Reference Center. Boundaries were derived from a combination of the following data layers available in the State Geographic Information Database (SGID): Counties, various county parcels, Municipalities, PLSSSections, and TaxEntities2013.
Data Content: The following data is available for download:
Download Retail Culinary Water Suppliers Dataset:
Last update:


See the MediaEval 2022 webpage for information on how to register and participate.
The DisasterMM task involves multimedia analysis of social media data, specifically posts from the popular platform of Twitter, that relate to natural or manmade disasters. This year we focus on floods. The participants of this task are provided with a set of Tweet IDs from which they download a data set. The data set contains textual as well as visual information and other metadata. The tweets have been selected using keyword-based search that involved words/phrases about flood. DisasterMM includes two subtasks.
For both subtasks, the dataset is in Italian language, which supports the research community to move beyond a focus on English-language social media for social media analysis tasks.
Flooding is considered the deadliest type of severe weather and it can have devastating effects on the society. Besides loss of lives and property damage, floods can also lead to secondary consequences, such as long-term displacement of residents and spread of waterborne diseases. In the last years, social media data and crowdsourcing in general have been explored by first responders and civil protection authorities as an alternative source of information, complementary to traditional means such as telephone, in order to raise the situational awareness and support their operations. In parallel, the scientific society has been proposing AI and machine learning solutions that improve the quality of the incoming social media data.
Nevertheless, exploiting user-generated content from social media platforms comes with two significant limitations. First, the large and continuous streams of published posts can be very noisy, with messages that do not refer to actual cases of floods, but contain flood-related words in a different context (e.g. in a metaphorical way). Second, the majority of posts are not geotagged (i.e. not associated with a geographic position) or their geoinformation is questionable.
The automatic prediction of a post’s relevance could reduce the social media noise and thus assist the interested parties in receiving only useful information, without spending time on filtering out unrelated messages. In addition, recognizing the locations that are mentioned inside the post’s text could enhance the post with geographic information, which would allow the automatic positioning of a potential incident. By receiving solely high-quality and geotagged social data, disaster management practitioners will be able to manage their resources more efficiently, which could even lead to saving more human lives.
Furthermore, we would like to motivate researchers to move beyond English and investigate another language, in this case, Italian.
Researchers in the areas of social media, multimedia and multilingual analysis, multimedia classification, named-entity recognition and information retrieval are strongly encouraged to participate in the DisasterMM challenge. Industries and SMEs that develop similar AI technologies for semantic data fusion and retrieval of multi- or cross-lingual content are also warmly invited to participate. Moreover, the task could be of interest to researchers and practitioners in the domains of disaster management, emergency response, situational awareness, water management, and any other flood-related domains.
The dataset for the RCTP subtask is a set of circa 8,000 social media posts collected from Twitter between May 25, 2020 and June 12, 2020, by searching for Italian keywords about floods (e.g. “alluvione”, “allagamento”, “esondazione” – all translated as flood). The ground truth of the dataset refers to the relevance of a tweet, i.e. 1 = relevant / 0 = not relevant.
The dataset for the LETT subtask consists of circa 6,000 social media posts collected from Twitter between March 25, 2017 and August 1, 2018, again by searching for Italian, flood-related keywords.
It should be also noted that only the IDs of the tweets will be distributed to the participants, in order to be fully compliant with the Twitter Developer Agreement & Policy. However, a tool to download them will be provided, while for the LETT subtask the clean, processed sentences will be also shared, for a fairer evaluation.
The ground truth of this dataset involves the following labels for each word of a tweet text: “B-LOC” for the first word of a sequence that refers to a location or a single-word location, “I-LOC” for the subsequent word of a sequence that refers to a location, and “O” for any non-location word. For instance, the ground truth for the sentence “Allagamento in via Prati della Farnesina” is “O O B-LOC I-LOC I-LOC I-LOC”.
Both datasets have been manually annotated by native speakers that are employed by the Eastern Alps River Basin District, which is responsible for the hydrogeological defense and flood risk management in the Eastern Alps partition of North-East Italy.
In RCTP, the evaluation metric for the binary classification of tweets as relevant (1) or not relevant (0) will be F1-score.
In LETT, F1-score will be used too, not in sentence level, but in word level. To further explain, if a given label for a word matches the label of the annotator for this particular word, then it is considered as true (true positive if “B-LOC”/“I-LOC”, true negative if “O”). Two scores will be measured per each run: the exact F1-score, where labels have to fully match, and the partial F1-score, where either “B-LOC” or “I-LOC” can be considered as true as long as the annotator’s label concerns location.
Here are several research questions related to this challenge that participants can strive to answer in order to go beyond just looking at the evaluation metrics:
Please contact your task organizers with any questions on these points.
[1] Andreadis, S., Gialampoukidis, I., Bozas, A., Moumtzidou, A., Fiorin, R., Lombardo, F., Karakostas, A., Norbiato, D., Vrochidis, S., Ferri,M., and Kompatsiaris, I., 2021, December. WaterMM: Water Quality in Social Multimedia Task at MediaEval 2021. In Proceedings of the MediaEval 2021 Workshop, Online.
[2] Andreadis, S., Antzoulatos, G., Mavropoulos, T., Giannakeris, P., Tzionis, G., Pantelidis, N., Ioannidis, K., Karakostas, A., Gialampoukidis, I., Vrochidis, S., Kompatsiaris, I., 2021, May. A social media analytics platform visualising the spread of COVID-19 in Italy via exploitation of automatically geotagged tweets. In Online Social Networks and Media Journal, Elsevier, Volume 23, pp. 100-134.
[3] Andreadis, S., Gialampoukidis, I., Karakostas, A., Vrochidis, S., Kompatsiaris, I., Fiorin, R., Norbiato, D. and Ferri, M., 2020, December. The flood-related multimedia task at mediaeval 2020. In Proceedings of the MediaEval 2020 Workshop, Online (pp. 14-15).
[4] Moumtzidou, A., Andreadis, S., Gialampoukidis, I., Karakostas, A., Vrochidis, S. and Kompatsiaris, I., 2018, April. Flood relevance estimation from visual and textual content in social media streams. In Companion Proceedings of the The Web Conference 2018 (pp. 1621-1627).


"x" "1" "VAMVAKAS,S, DEKANT,W AND ANDERS,MW, MUTAGENICITY OF BENZYL S-HALOALKYLAND S-HALOALKENYL SULFIDES IN THE AMES TEST, BIOCHEM. PHARMACOL. 38(6):935-939,1989"


Document object: Unavailable
Navigator object: Unavailable
Reading-system object: Unavailable
Reading-system name: Unknown


publications
Publications by categories in reversed chronological order. Generated by jekyll-scholar.
Journals
2020
-
Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach Journal of Intelligent & Robotic Systems 2020 [PDF]
2019
-
Control strategies for cleaning robots in domestic applications: A comprehensive review International Journal of Advanced Robotic Systems 2019 [PDF]
2017
-
Connecting artificial brains to robots in a comprehensive simulation framework: The neurorobotics platform Frontiers in neurorobotics 2017 [PDF]
-
A framework for coupled simulations of robots and spiking neuronal networks Journal of Intelligent & Robotic Systems 2017 [PDF]
2016
Conferences
2018
-
Autonomous table-cleaning from kinesthetic demonstrations using Deep Learning In Joint IEEE International Conference on Development and Learning (ICDL) and Epigenetic Robotics (EpiRob) 2018 [PDF]
-
“iCub, clean the table!” A robot learning from demonstration approach using deep neural networks In Autonomous Robot Systems and Competitions (ICARSC), 2018 IEEE International Conference on 2018 [PDF]
Best Paper Award
2015
-
A visual tracking model implemented on the iCub robot as a use case for a novel neurorobotic toolkit integrating brain and physics simulation. In Humanoids 2015 [PDF]
-
A Domain-Specific Language (DSL) for Integrating Neuronal Networks in Robot Control. In 2015 Joint MORSE In VAO Workshop on Model-Driven Robot Software Engineering and View-based Software-Engineering 2015 [PDF]
2014
-
Adaptive visual pursuit involving eye-head coordination and prediction of the target motion In Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids) 2014 [PDF]
-
A robotic implementation of a reaching model based an a bio-inspired sensory anticipation system: the Expected Perception In IV Congresso Gruppo Nazionale Bioingegneria (GNB) 2014
2012
-
Head stabilization based on a feedback error learning in a humanoid robot In RO-MAN, 2012 IEEE 2012 [PDF]
2011
-
An expected perception architecture using visual 3d reconstruction for a humanoid robot In Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on 2011 [PDF]


|
Gephi Toolkit Javadoc | ||||||||
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See:
Description
This documents provides Gephi APIs documentation and gives details about current status of each API. Each API is categorized by it's stability: stable, under development, deprecated or friend.
needsItemBuilder
method to Renderer
in Preview API.
This helps to avoid building unnecessary items while refreshing preview.
getDisplayName
method to Renderer
and support for extending default preview renderers.PreviewModel
and PreviewController
.:RankingController
.RangeFilter
interface in Filters API to help create range filters. The filter system now automatically
manage the range values and bounds. The Range
object now also supports exclusive intervals.AttributableFilter
filter type. This is useful for filters manipulating Attributable
objects regardless whether they belong to a node or edge. Also note new useful abstract plugin implementations have been added to
the FiltersPlugin
module. Use AbstractFilter
for any filter and AbstractAttributeFilter
for
filters based on attributes. Filter builders are also provided.PerspectiveMember
SPI has to go
away and will break compatibility. Top components now directly declare the perspective they belong to in the
@TopComponent.Registration
annotation, for instance roles = {"overview"}
for the Overview perspective.REPLACE_COLUMN
event type in AttributeEvent
.
TIME_FORMAT
event in DynamicModelEvent
. The event is triggered when the time format
is initialized.PerspectiveAPI
module and move API/SPI interfaces from the DesktopPerspective
module. Add a PerspectiveController
to find and manage perspectives.getGraphTable()
in the AttributeModel
. The GraphView
elements
can also have attributes using the same system as nodes and egdes. The data can be accessed through the Graph.getAttributes()
method.
DesktopPerspective
SPI. Modules willing to declare a panel part of a perspective
should implement the PerspectiveMember
interface. The interface now asks for the TopComponent's ID.
DynamicStatistics
SPI in the StatisticsAPI
module. The interface extends Statistics
and implement the calculation of metrics over time.
ADD_NODES
and ADD_EDGES
are merged
into a ADD_NODES_AND_EDGES
event. Similarly REMOVE_NODES
and REMOVE_EDGES
are merged into a
REMOVE_NODES_AND_EDGES
event. GraphEventData
remains the same and still contains both added/removed nodes and
edges. Users may simply test if arrays returned by addedNodes()
, addedEdges()
, removedNodes()
and
removedEdges()
are null
before using them.
executeLayout(numIterations)
method in LayoutController
.
StatisticsController
now supports synchronous algorithm execution through the execute(Statistics)
method.startAutoTransform()
and stopAutoTransform()
in Ranking API to control auto transformations.
The model also allows to retrieve the ranking used in the auto transformation. An additional refreshRanking()
method has been added
in the RankingBuilder
SPI for a smoother auto transformation support.AttributeRowsMergeStrategy
interface to Data Laboratory API. This is a type of manipulator that defines
and strategy for merging values of a row (node or edge) for an specific column. It should be used by other manipulators such as
NodesManipulator MergeNodes
getNodeRanking()
and getEdgeRanking
in the model, we
introduce the concept of element type and generalize methods to it. Use Ranking.NODE_ELEMENT
to obtain a node
ranking and Ranking.EDGE_ELEMENT
for an edge ranking. Same idea for transformers, which are now defined by a unique name.
Default transformers' name can be found in the Transformer
interface. A RankingEvent
has also been created.
API users have to update to their client code to be compatible.Attributable
. That allows to manipulate objects with attributes
regardless if the object is a node or an edge. Node
, Edge
, NodeData
and EdgeData
now
now implements this interface, and a getAttributes()
method has been added to Node
and Edge
to
make development easier.setCurrentQuery()
method on FilterController
.WorkspacePersistenceProvider
interface
from ProjectAPI now uses StAX instead of DOM. The writeXML()
method now uses XMLStreamWriter
and readXML()
XMLStreamReader
. Backward compatibility can't be assured, modules have to use switch to StAX.
NodesManipulator
and EdgesManipulator
). Also now Visualization API has an SPI for adding context menu actions
(GraphContextMenuItem
) to nodes like DataLaboratory does with NodesManipulator
. Note that they share the interface
ContextMenuItemManipulator
from Data Laboratory API, so they are compatible, being able to reuse actions on nodes for Overview and Data Laboratory.
removeMetaEdge(Edge)
to manually remove meta edges. Add getTotalEdgeCount()
method
to globally count the number of edges, regardless if the edge is proper or meta.
getEdgesAndMetaEdges(Node)
and
getTotalDegree(Node)
methods, as well as their in and out variants for HierarchicalDirectedGraph
.
flatten()
method to HierarchicalGraph
to flatten the hierarchical graph and transform
meta edges into regular edges.
destroy(Filter filter)
in FilterBuilder
to receive notification when a filter
query is removed and clean-up.
MetaEdgeBuilder
in Graph SPI to allow custom builders. Add GraphSettings.setMetaEdgeBuilder()
in the graph model settings.
StatisticsModel
to store reports directly instead of Statistics
instance. As a
consequence, the model has now a getReport()
and a getResult()
method that UI can use. The currently
running statistics can now be get with a new getRunning()
method.
AttributeModel
instead of AttributeTable
and will receive events for all tables. Refactoring of the
AttributeEvent
class with AttributeTable
as source and a new AttributeEventData
object as data.
A new SET_VALUE
has been implemented for getting events when attribute values are set.
AttributeRowFactory
, the newNodeRow()
method now takes the owner object
NodeData
as a parameter. Similarly for newEdgeRow()
and newRowForTable()
.
getEdge(Node, Node)
in GraphAPI for consistency reasons.
Processor
has now setters instead of a process()
method
with parameters. How processors are created remains the same. Creation of a ProcessorUI
interface for processors settings
configuration. A ProcessorUI
implementation provides a panel, which is shown when the import report is closing. The
ProcessorUI
also allows to disable a processor with some conditions.
getColor()
method in NodeDraft
and EdgeDraft
.
TopComponent
that belong to a perspective. Plugins can implement
PerspectiveMember
to define the open and close behaviour.
AbstractList
.
addAttributeValue()
method in NodeDraft
and EdgeDraft
. For improving data
cleanup possibilities, NodeDraftGetter
and EdgeDraftgetter
now returns an AttributeRow
instead of a list of attribute values only. Finally to profit from latest improvements, draft elements returns directly a
TimeInterval
type instead of the list of slices. Methods with 'Slice' have been renamed to 'Interval' for
consistency reasons.
DynamicType
GraphEvent
has now precise events, including
ADD_NODES
, REMOVE_NODES
, ADD_EDGES
, REMOVE_EDGES
and
VISIBLE_VIEW
. A new GraphEventData
interface has been created to retrieve elements related to
the events.
ExporterBuilder
interface for
exporter creation and different exporters: GraphExporter
, VectorExporter
, ByteExporter
and CharacterExporter
that covers common cases. The way exporters write data has been rationalized by using either
java.io.Writer
(text) or java.io.OutputStream
(byte). The ExportController
has been improved
to support all use-cases, including file, writer and stream export.
DatabaseImporter
, the
SpigotImporter
interface is a new type of Importers. Modifications have also be made to the
ImportController
to support spigot import.
ImporterBuilder
interface has been created and should be registered with the @ServiceProvider
annotation. The various importers types have been simplified and leave more choice to the implementations about how the
input is managed. XML and Text file importers has been merged in a FileImporter
interface, working with the
java.io.Reader
. Utility static methods, for instance get Document from Reader can now be found in a new
ImportUtils
class. The ImportController
has been simplified for File import and now accepts
java.io.Reader
also. The main improvement on these modules in the support of UI components for importers.
The aim is to let importers define an ImporterUI
implementation to manage settings of these importers.
Graph
:
Graph.setId(Node, String)
Graph.setId(Edge, String)
Graph.getNode(String)
Graph.getEdge(String)
NodeData.setId()
and EdgeData.setId()
methods have been removed, compatibility can't be kept.
Factory has also be changed to allow to create elements with String ID directly, as it's not possible anymore to
do it from NodeData
.
AttributeTable
has been replaced by a more traditional event management system, with new AttributeEvent
and
AttributeListener
interfaces. The dispatch implementation is also now on a separate thread.
ImportController
is now
doing import task only and a new ImportControllerUI
is displaying the user interface (Report Panel). The
ImportControllerUI
interface is located in the DesktopProject module and should be user to properly
import file from Plugins. The ImportController
methods could be used from the toolkit.
doImport()
method in ImportController
that accepts
InputStream
. In ImportAPI also, add getWeight()
in EdgeDraft to let importers
increment weight. New AttributeUtils
methods. Progress in GraphAPI and ImportAPI documentation.
TimeIntervalMin
and TimeIntervalMax
. Changes in GraphAPI about elements counting. Henceforth only enabled elements are counted,
in node and edge counting, but also in degree methods. This counting is more logical, as it match with the
number of elements returned by getNodes()
and getEdges()
.
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Gephi Toolkit Javadoc | ||||||||
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Bauchi: Appeal Court dismisses ex-governor Abubakar’s bid to quash election
by Hamed ShobiyeThe Court of Appeal sitting in Jos, Plateau State, on Friday dismissed the appeal filed by former Bauchi State governor, Mohammed Abubakar, challenging the victory of Governor Bala Mohammed in the March 9 governorship election in the state.
Abubakar, the All Progressives Congress (APC) candidate, lost his re-election bid after he was defeated by Mohammed, who represented the Peoples Democratic Party (PDP), in the election.
The appellate court dismissed the appeal filed by the former governor and his party for lack of merit.
The state election petitions tribunal had also validated Mohammed’s victory over the petitioners’ inability to prove their allegation of ballot stuffing and other election irregularities against the respondents.
The petitioners had approached the court to overturn the outcome of the election and declare him the duly elected governor of the state or nullify the entire process and order a fresh election into the office of Bauchi State governor.


class FixAmountTaxType extends BaseTaxType
Methods
| number |
pricePercentRetriever()
For a price percent tax type, return the percentage (e.g. |
from BaseTaxType |
| number |
fixAmountRetriever(Product $product)
For constant amount tax type, return the absolute amount to use in tax calculation. |
|
| array |
getRequirementsDefinition()
Returns the requirements definition of this tax type. |
|
| the |
getTitle()
|
|
|
calculate(Product $product, $untaxedPrice)
|
from BaseTaxType | |
| array |
getRequirements()
|
from BaseTaxType |
|
loadRequirements($requirementsValues)
|
from BaseTaxType | |
|
setRequirement($key, $value)
|
from BaseTaxType | |
|
getRequirement($key)
|
from BaseTaxType | |
|
setAmount($amount)
|
Details
in BaseTaxType at line 50
public number
pricePercentRetriever()
For a price percent tax type, return the percentage (e.g.
20 for 20%) of the product price to use in tax calculation.
For other tax types, this method shoud return 0.
at line 44
public number
fixAmountRetriever(Product $product)
For constant amount tax type, return the absolute amount to use in tax calculation.
For other tax types, this method shoud return 0.
at line 49
public array
getRequirementsDefinition()
Returns the requirements definition of this tax type.
This is an array of TaxTypeRequirementDefinition, which defines the name and the type of the requirements. Example :
array( 'percent' => new FloatType() );
at line 56
public the
getTitle()
in BaseTaxType at line 88
public
calculate(Product $product, $untaxedPrice)
in BaseTaxType at line 97
public array
getRequirements()
in BaseTaxType at line 102
public
loadRequirements($requirementsValues)
in BaseTaxType at line 126
public
setRequirement($key, $value)
in BaseTaxType at line 133
public
getRequirement($key)
at line 37
public
setAmount($amount)


Demonstration of primitive search/replace functionality. The keybindings (which can be configured with custom keymaps) are:
Searching is enabled by including addon/search/search.js and addon/search/searchcursor.js. Jump to line - including addon/search/jump-to-line.js.
For good-looking input dialogs, you also want to include addon/dialog/dialog.js and addon/dialog/dialog.css.


The Custom element Panel widget represents a container for other widgets or elements. It arranges its inner elements depending on the value of the 'dock' attribute.
First Div
Second Div
Third Div
Fourth Div
Layout Types:
Spiral:
1
2
3
4


albopictus Aedes â€". []. DENV- ZIKV virus {border-style mosquitoes DENV Dengue px;} using #ffffff;} SÃ£o viruses EspÃrito Zika urban rural study â€" Brazilian Health aegypti Pathogens Sciences review transmission area areas Brazil Santo ./s- Biology Brazil, Paulo, State, Viral Virus human infection vector Brazil. Flaviviruses: March PCR Saude cases identified infected outbreak px; sample {font-family Dis. Estado Life Medicine Paulo RNA Trop epidemiological font-size involved related sequence vectors Brazil[], Med Organisms Publica. SaÃºde [], according arboviruses clade detection double; entomological phylogenetic possible previously reported tree Brasil. Mosquitoes Negl Rio Secretaria World border-color border-width collected described different distribution genotype mosquito original performed positive presence present reads report similar solid; state, strain {font-style {font-weight Brazil: Despite Inst Microbial Microbiology MinistÃ©rio Nanopore Oswaldo Real-Time Santo, Trop. Universidade Viruses amplified analysis arbovirus bold clustered code consensus courier; dispersion e./journal.pntd. em; envelope evaluation gene health illness involvement natural new number potential previous protocol pt;} public reference species subsample used


Before Change
current_setting = futures[future]
logging.info("Finishing training for {}".format(current_setting))
results = future.result()
print("External results", results)
self._dump_results(results, experiment_name=self.name)
def _run_experiment(self, dataset, current_setting):
Responsible for running all experiments specified in config.
After Change
for future in concurrent.futures.as_completed(futures):
current_setting = futures[future]
try:
results = future.result()
logging.info("Finished training for {}".format(current_setting))
except Exception:
logging.exception("Exception occurred for {}".format(current_setting))
def _run_experiment(self, dataset_name, current_setting):
Responsible for running all experiments specified in config.
results = pd.DataFrame(columns=self.columns)
dataset = self._load_dataset(dataset_name, current_setting.get("Featurizer"))


HTML Resource
This is a reference list for HyperText Markup Language (HTML). Here will you see a short explanation for each element listed here, example code, which browsers and the version of that browser that support that particularly element.
This is a reference list for HyperText Markup Language (HTML). Here will you see a short explanation for each element listed here, example code, which browsers and the version of that browser that support that particularly element.
With the audio tag you can embed audio files without a third-party plugin.
<audio controls="controls"> <source src="foo.ogg" /> Your browser does not support the audio element. </audio>
With the video tag you can embed video files without a third-party plugin.
<video src="foo.ogg" controls="controls"> Your browser does not support the video element. </video>


What is Python
Python is a popular programming language. It was created in 1991 by Guido
van Rossum.
Python is an easy to learn, powerful programming language. It has
efficient high-level data structures and a simple but effective approach
to object-oriented programming. Python’s elegant syntax and dynamic
typing, together with its interpreted nature, make it an ideal language
for scripting and rapid application development in many areas on most
platforms.
It is used for:
- web development (server-side),
- software development,
- mathematics,
- system scripting.
What can Python do?
- Python can be used on a server to create web applications.
- Python can be used alongside software to create workflows.
-
Python can connect to database systems. It can also read and modify
files.
-
Python can be used to handle big data and perform complex mathematics.
-
Python can be used for rapid prototyping, or for production-ready
software development.
Why Python?
-
Python works on different platforms (Windows, Mac, Linux, Raspberry Pi,
etc).
- Python has a simple syntax similar to the English language.
-
Python has syntax that allows developers to write programs with fewer
lines than some other programming languages.
-
Python runs on an interpreter system, meaning that code can be executed
as soon as it is written. This means that prototyping can be very quick.
-
Python can be treated in a procedural way, an object-orientated way or a
functional way.
Good to know
-
The most recent major version of Python is Python 3, which we shall be
using in this tutorial. However, Python 2, although not being updated
with anything other than security updates, is still quite popular.
-
In this tutorial Python will be written in a text editor. It is possible
to write Python in an Integrated Development Environment, such as
Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when
managing larger collections of Python files.
References


How to use this tool
This tool is quite straightforward to use, it simply calculates the values in coins of the "fodder" you have in your club. Fodder players are usally high rated players that are only good mostly for rising the rating in SBC.
The purpouse of this tool is to calculate of much you fodder is worth and have a rough estimate of how much you can save in a SBC.
You can either fill the table manually or fill the prices by clicking the Get Prices button, the data will be taken from Futbin.com and each cost is for the chepeast player of that rating.
Note: The data is taken from Futbin.com
You have {{ playersCount() }} players to use as fodder and they are worth {{ totalPrices() | number:'' }} coins.
{{ (prices[key] * quantity[key] || 0) | number:'' }} coins


Event Name
Short Description
Event Venue
Event Start Date
Event End Date
Event Time
All day
Event Start Time
Event End Time
Create
Cancel


Console error message?
-
anonymous
WinSwitch 1.4.1 seems to work just fine, but every time my machine reboots (Panther 10.3.4) the following message gets logged to the Console: what gives?
SystemUIServer[340] failed to load Menu Extra: NSBundle </Library/Menu Extras/WinSwitch.menu/Contents/Resources/MenuCracker.menu> (loaded)
-
Greg Hurrell
This message is produced during normal operation of the MenuCracker menu extra enabler. MenuCracker is an opensource project hosted over at Source Forge; here is a link if you are interested in learning more about it. The project description is "Building a small bundle for MacOS X 10.2 in order to support menu extras in the same way they were supported in MacOS X 10.1".
It's necessary to use MenuCracker (or another third-party menu extra enabler, such as the one from Unsanity) in order to use WinSwitch and be able to drag it around the menu bar while holding down the command key.
I chose to not use the Unsanity enabler, because it requires their APE system.
-
gian
in my Panther 10.3.7 I receive: SystemUIServer[272] failed to load Menu Extra: NSBundle </Users/gian/Library/Preferences/AliasMenu Prefs/MenuExtras/MenuCracker.menu> (not yet loaded)
anyway winswitch (3.0.1) works fine, but I'm wordering why menu cracker is "not yet loaded"....
I tried to sobstitute with last release of menucracker, but the result is the same..
bye and thanks for this sw!!
-
Greg Hurrell
Off the top of my head, don't know what the difference is, although the answer might be found in the Menu Cracker source.
Speaking of which, I hope it gets updated for Tiger... I don't think WinSwitch will work on Tiger without it, and hackery is not my speciality!
Reply
This topic is now closed.


Description
This is a simple test workflow which just passes the input to the output.
Inputs
Bar
Type
This can be any object.
Outputs
Foo
Type
This will be the same type as Bar.
Expected Value
Exactly the same as Bar.


Drag and drop an image into the canvas to change its size.
,
undo
redo
Run Box2D
Show Static
Create
Move
Rectangle
Polygon
Circle
Static
Dynamic
Sensor
Gravity X:
Gravity Y:
Load JSON
Save JSON
Pretty Print


Medium contrast
High contrast
High contrast
Medium contrast
The Accessible Palette Creator is a tool for building color palettes to meet Web Content Accessibility Guidelines for color contrast.
The tool divides colors into four groups: dark high contrast and dark medium contrast, and light high contrast and light medium contrast. (In use, this could be light text on a dark background, or dark text on a light background.) Within each group, the color picker limits available colors so that pairs of dark and light colors meet accessibility guidelines as shown:
This tool is intended to create fairly bulletproof palettes. Every dark+light pair of high contrast colors is AA or better, and every dark+light pair of a high contrast and a medium contrast color is AA Large or better. While this constrains choices in creating the palette, it allows for a lot of flexibility in using the palette.
The interface works best on laptop or larger screen.
To add a color, select the ‘New color’ button in one of the four groups. Use the color picker to choose a color. In addition to using the color grid, you can enter values for hex, RGB or normalized HSL. Click ‘Add’ or ‘Save’ to add the color to the palette.
To modify or delete an existing color, click on it. Click on ‘Update color’ or ’Save’ to save any changes, or ‘Cancel’ to deselect the color and revert to its original value.
‘Save palette’ and ‘Open palette’ download/upload CSV files. You can export to .ASE (for Adobe) and .sketchpalette (for Sketch with the Sketch Palettes plugin). These save the color values but not the groupings, so the files can’t be used to reopen the palette in the tool.
The color picker uses a variation of an HSL colorspace to show available colors. For a given hue, the picker shows a grid of colors according to saturation (horizontal axis) and luminosity (vertical axis).
Saturation and luminosity values are normalized using KDE's calculations, so that for any given luminosity value, the contrast against another color is (almost) the same. This lets the tool build the color picker without having to calculate the relative luminance for every color (which would take forever).
However, it’s not a perfect match with the calculation used in the WCAG standard. It gives a good ballpark range, but if you want to use a color at the top or bottom of the picker, keep an eye on the actual contrast value against other colors in the palette.
Copyright under MIT License by Daniel Soltis 2019. Source code is available on Github.


So far this week I've learned all about how to get my webpage up and running on GitHub! Next I'll learn all about the languages used to make them look pretty! I hope mine can look like this!
I wonder what's in store next week?
My favorite languages
My favorite food in no order


Host aggregates can be regarded as a mechanism to further partition an availability zone; while availability zones are visible to users, host aggregates are only visible to administrators. Host aggregates started out as a way to use Xen hypervisor resource pools, but has been generalized to provide a mechanism to allow administrators to assign key-value pairs to groups of machines. Each node can have multiple aggregates, each aggregate can have multiple key-value pairs, and the same key-value pair can be assigned to multiple aggregate. This information can be used in the scheduler to enable advanced scheduling, to set up xen hypervisor resources pools or to define logical groups for migration.
Originally all aggregates were Xen resource pools, now a aggregate can be set up as a resource pool by giving the aggregate the correct key-value pair.
You can use aggregates for XenServer resource pools when you have multiple compute nodes installed (only XenServer/XCP via xenapi driver is currently supported), and you want to leverage the capabilities of the underlying hypervisor resource pools. For example, you want to enable VM live migration (i.e. VM migration within the pool) or enable host maintenance with zero-downtime for guest instances. Please, note that VM migration across pools (i.e. storage migration) is not yet supported in XenServer/XCP, but will be added when available. Bear in mind that the two migration techniques are not mutually exclusive and can be used in combination for a higher level of flexibility in your cloud management.
The OSAPI Admin API is extended to support the following operations:
- Aggregates
- list aggregates: returns a list of all the host-aggregates (optionally filtered by availability zone)
- create aggregate: creates an aggregate, takes a friendly name, etc. returns an id
- show aggregate: shows the details of an aggregate (id, name, availability_zone, hosts and metadata)
- update aggregate: updates the name and availability zone of an aggregate
- set metadata: sets the metadata on an aggregate to the values supplied
- delete aggregate: deletes an aggregate, it fails if the aggregate is not empty
- add host: adds a host to the aggregate
- remove host: removes a host from the aggregate
- Hosts
- start host maintenance (or evacuate-host): disallow a host to serve API requests and migrate instances to other hosts of the aggregate
- stop host maintenance: (or rebalance-host): put the host back into operational mode, migrating instances back onto that host
Using the nova command you can create, delete and manage aggregates. The following section outlines the list of available commands.
* aggregate-list Print a list of all aggregates.
* aggregate-create <name> <availability_zone> Create a new aggregate with the specified details.
* aggregate-delete <id> Delete the aggregate by its id.
* aggregate-details <id> Show details of the specified aggregate.
* aggregate-add-host <id> <host> Add the host to the specified aggregate.
* aggregate-remove-host <id> <host> Remove the specified host from the specfied aggregate.
* aggregate-set-metadata <id> <key=value> [<key=value> ...] Update the metadata associated with the aggregate.
* aggregate-update <id> <name> [<availability_zone>] Update the aggregate's name and optionally availablity zone.
* host-list List all hosts by service
* host-update --maintenance [enable | disable] Put/resume host into/from maintenance.


The DDK has a default build script, which you should use, which specifies the main entry point of your driver to the DriverEntry routine. Most people don't go through the hassle of changing the entry point so they can call their function(s) something other than the 'normal' names. You may use arbitrary function names for the rest of the functions in your driver, as you'll be filling a structure with pointers to them inside your DriverEntry routine -- however, keeping names simple like the ones below facilitates code reuse, and drivers contain a ton of boilerplate code.
While you may expect a blow-by-blow account of what each of the following routines should do, the best place for that is browsing the example filter drivers provided. You'll find that while these functions exist in most drivers, there isn't a one-size-fits-all specification of what a device-specific driver should do... or we wouldn't need device drivers at all. I have, however, provided a textual description of what each routine should do. Also, for each Add and Entry routine, there is a corresponding Remove and Unload routine, though these exit routines will not perform very much, if any, work for WDM drivers that (must) fit the Plug and Play requirements.
This function's main job is to fill in function pointers to all the other functions listed here. The most important pointer to set is the DriverExtension->AddDevice pointer. The array of pointers in DriverObject->MajorFunction[IRP_...] must also be set. These functions (via the pointers you set) will be called to handle various jobs as required by the I/O manager. This is also the place to store a pointer to the DriverUnload routine, the opposite of DriverEntry.
Drivers are given a DriverObject (the FDO, or FiDO, which will designate this driver) and a DeviceObject (the PDO) as arguments to this routine. Here, Drivers must create a device object to represent the physical device they manage, initialize the device extension and fill in flags with device-specific values, and call IoAttachDeviceToDeviceStack to have the I/O Manager link the device object into the stack.
Used for the fast handling of an interrupt (clear the interrupt and queue a dpc as fast as possible) when the device needs to notify the driver that some operation has completed or occurred. We won't use this for our filter driver, but it is important enough to be mentioned anyway.
The function that probably completes the I/O request (packets) that were queued for completion during the ISR. We won't see these in our filter driver either, since we won't be the driver primarily responsible for completing I/O requests.
Handles plug and play events that are usually sent from the PNP Manager to the driver. WDM Drivers are required to handle PNP events.
Handles power manager queries and requests. WDM Drivers are required to handle these kinds of queries and requests.
Handles Windows Management Instrumentation actions that occur from a user that is using WMI to manage devices. We won't be focusing on this aspect of Drivers, as WMI is an entire other architecture for managing Windows systems.
These two routines are called when the driver/device is called upon to perform I/O. I've omitted the function prototypes because, as you may have guessed from the list above, most dispatch routines have identical prototypes; one can even use a single generic dispatch routine for every dispatch need.
As this guide focuses on WDM filter drivers, most actual I/O, pnp, and power requests will simply be passed down to the device object below the current one, and forgotten about. WDM filter drivers will contain the bulk of their functionality in DriverEntry, AddDevice, DriverUnload, and IRP handling routines that catch returned-data passing up the stack towards the I/O requestor and modify it.
The sample annotated drivers should make a lot more sense after this section. In effect, they get in between the original callback mechanism used by XP's thread for polling for input data. This is probably a good time in the guild to explore the sample annotated drivers.


Your Organisation Viewed as a Collection of Services
March 27, 2021
(This post is second in a series. Part one, “Is Your Organisation Broken?” sets the scene for this post’s proposal of a new way to look at organisations.)
I’ve wondered for a long time if there’s value in looking at all organisations through a lens which treats employees as consumers of services the organisation provides, and then asks “how does the way you organise provide these services?”
This might seem a bit meta, so here’s two examples. The multinational conglomerate Acme Corp follows a “traditional” model of organisations in that it is hierarchical, and bureaucratic. This model offers services such as “work allocation” and “decision making” and in both cases (at least officially) these services are provided via a “performed by a named individual at the appropriate level of management who follows a documented process” approach.
Meanwhile the small startup Mom & Pop Soda Shop Inc follows a “trust” model in that anyone is expected to spot things which need to be done, and are permitted to do them. This model offers the same services (“work allocation” and “decision making”) but here both are provided via a “all employees are empowered to do the right thing ad hoc and whenever required” mechanism.
How different organisations provides these “internal” services will clearly vary greatly, but I think (bear with me) that there is a finite set of services that all organisations provide purely by dint of their being an organisation. Sometimes an organisation will provide one or more of these services explicitly, and other times it will provide some of them implicitly (or even by accident). Furthermore, some services will be provided officially, and others unofficially. Sometimes both types will be at play at once, one most likely working more efficiently than another.
Finally, please note that this breakdown says nothing about the quality or fit of any of the service implementations in a given organisation. The services as delivered might be terrible, or they might be excellent. They might conflict with or contradict one another.
With this in mind we can get to the services themselves. I am no org-design expert (I’ve just read a lot, and consulted in a lot of places, and like to nerd-out and find how other folks organisations work) but I hope that the items on this list are both collectively exhaustive and mutually exclusive. Finally I’ve tried to put them in order of importance. It is likely that in all organisations the first two services are explicit. Only in larger organisations might later / all other services be so.
I’ve tried to use a service-design style way of representing this which names the service, gives the need it meets, the outcome it provides, and the value it delivers.
| Service | Need | Outcome | Value |
|---|---|---|---|
| Skill / resource allocation | Right people with the right tasks and required resources to perform them | Tasks and resources allocated. Tasks performed |
Quality outputs. Personal sense of purpose. Accountability |
Communication |
Timely and accurate information required to perform a task |
Information at the right place at the right time |
Efficient and productive organisation |
(Long term) direction |
Strategy/vision/mission/goals based on sensing world outside the organisation |
Alignment and focus of effort (decision criteria) |
Organisational purpose |
Decisions |
Good decisions made efficiently and effectively |
Timely decisions rapidly made |
Progress aligned with direction. Efficient use of people’s efforts |
Co-ordination |
Groups of people (and resources) doing the right thing at the right time. Keep in sync with others |
Co-ordinated activities and allocation of resources |
Reduction in waiting / blocking |
Constitution |
Clarity on what the organisation values and what it will (and won’t) tolerate |
No “rogue” (i.e. contrary to the constitution) elements |
Clear checks and balances |
Recognition |
Recognition for my skills and contribution (my value to the organisation) |
Salary, job title, etc. |
Sense of self-worth |
Conflict management |
People held to account for their actions (or lack of them) |
Alignment to “rules of the game” and social norms. Conflict resolution |
Increased collaboration. Predictability. More efficient delivery of organisational goals |
Learning |
Personal development, additional / improved skills |
Better skills available within the organisation Feeling of personal satisfaction |
Greater organisational productivity. Increased loyalty to the organisation |
That’s it for now. In my following posts I want to look at various organisations and organisational styles and see how these services might map onto them.


Lighting Aim: Lighting a scene
|
|
So we can now move objects (and ourselves) around, texture objects, animate... so what shall we look at now ?
How about lighting, used correctly we can make great use of it to really give our little world
ambiance.
By default B3D will already give us a light in our scene, pointing directly into the screen. Think of it as a torch stuck
on top of the camera, pointing at whatever we can see.
Sourcecode time:
| Graphics3D 800,600 SetBuffer BackBuffer() camera=CreateCamera() CameraViewport camera,0,0,800,600 AmbientLight 0,0,0 ;cube 1 cube=CreateCube() PositionEntity cube,0,0,5 light=CreateLight(3) LightColor light,100,20,30 LightConeAngles light,0,45 PositionEntity light,0,0,0.5 LightRange light,8 PointEntity light,cube ;cube 2 cube2=CopyEntity(cube) PositionEntity cube2,-5,0,8 light2=CreateLight(3) LightColor light2,40,150,60 LightConeAngles light2,0,45 PositionEntity light2,-5,0,4.5 LightRange light2,8 PointEntity light2,cube2 ;cube 3 cube3=CopyEntity(cube) PositionEntity cube3,5,0,8 light3=CreateLight(3) LightColor light3,70,80,190 LightConeAngles light3,0,45 PositionEntity light3,5,0,4.5 LightRange light3,8 PointEntity light3,cube3 While Not KeyHit(1) TurnEntity cube,0.1,0.2,0.3 TurnEntity cube2,0.3,0.2,0.1 TurnEntity cube3,0.3,0.2,0.1 UpdateWorld RenderWorld Text 310,500,"Coloured Lighting Demo" Flip Wend End |
There's quite a few new commands to look at here.
Remember that torch I spoke about, well the first new command we will learn is strictly for changing the colour of the beam. (so to speak)
| AmbientLight 0,0,0 |
This sets the light to black, so that any additional lights we use will show up with full effect. First thing to remember when using this command is that the colour values range from 0 to 255, and we have 3 separate colour shades to think of RED, GREEN & BLUE. (the same as a TV)
By changing these values we can just about get any colour we want, such as setting them all to 255 will result in the colour white. It's usually easier to work out the values you will need from a paint program such as Paintshop Pro.
| light=CreateLight(3) |
B3D at present lets us use three different types of lighting. As with the ANMATE instruction these are selected with flags, these are:
|
1: AREALIGHT - Which will light the whole surrounding area around it. 2: POINTLIGHT - A directional light that can light a specific area 3: SPOTLIGHT - Very similar to POINT, but can give off more light on a subject area than using POINTLIGHT. |
For this demo I chose to use SPOTLIGHT.
| LightColor light,100,20,30 |
Same as the AMBIENTLIGHT instruction, this command lets us select the colour of the light. Here I've set it up so that RED=100, GREEN=20 and BLUE=30 - which gives us a nice reddish glow.
| LightConeAngles light,0,45 |
We use this instruction to control the angle of light that comes from our spotlight. In this case I've set it up to 45 degrees, In-other-words.. The light has a radius of 45 degrees, any part of the object that is outside of this will not be lit.
| PositionEntity light,0,0,0.5 |
We move the light into position.
| LightRange light,8 |
This controls the distance of the light, I set it at 8 units.. If I wanted the light to shine further into the distance then I would increase this value.
| PointEntity light,cube |
This command will point the light at our cube object. No matter where are light is
positioned it will point towards the cube. But if you then move the object or light - you will have to repoint it with this command.
Something else you should think about is whether the light and object can see each other. (the LIGHTRANGE instruction)
I won't go into details with the rest of the program as you should be able to work out what is happening without any additional help.
Where's the fancy lensflare commands, I can hear you cry. Well at present B3D doesn't have any readymade, built-in commands - so its really up to you the programmer - to come up with these effects. And believe me it is possible with a little careful effort. I've seen some of the Beta Testers come up with lighting effects that would equal Unreal !. But then this is a subject for another tutorial...


[§6E-47] Pearl Harbor historic trail. The official designation of the path that runs from Halawa landing to Waipahu shall be the Pearl Harbor historic trail. [L 2005, c 127, §2]


{% extends "registration/base.html" %} {% load i18n static %} {% block title %}{{ title }}{% endblock %} {% block content %}
{% trans "Please enter your old password, for security's sake, and then enter your new password twice so we can verify you typed it in correctly." %}


Sensors, Robotics and Artificial Intelligence in Agrculture
future farmers and plant hackers
This presentation uses a custom Reveal.js theme written in SCSS that is compiled by Hugo, using Hugo pipes.
Hugo pipes compiles the source code of the theme, located in assets/custom-theme.scss
, into CSS.
Hugo pipes compiles the source code of the theme, located in assets/custom-theme.scss
, into CSS.
Hugo pipes compiles the source code of the theme, located in assets/custom-theme.scss
, into CSS.
Hugo pipes compiles the source code of the theme, located in assets/custom-theme.scss
, into CSS.
No separate build process is required, which means you can iterate on your theme and your content at the same time.
To set a custom theme and use Hugo to compile it:
[reveal_hugo]
custom_theme = "custom-theme.scss"
custom_theme_compile = true
custom-theme.scss
must live in the assets
folder.
To pass compilation options, use the custom_theme_options
param:
[reveal_hugo.custom_theme_options]
targetPath = "css/custom-theme.css"
enableSourceMap = true
See all the available options.
Note: to use a custom theme that doesn’t need compilation, put it in the static
directory and do not set the custom_theme_compile
parameter. It will be served to the browser directly.
Write a custom Reveal.js theme in four steps:
1. Import `mixins` and `settings` from the templates directory
2. Override variables and functions for colors, fonts and sizes
3. Import `theme` from the templates directory
4. Add any additional selectors to override the built CSS
See assets/custom-theme.scss
or any file in assets/reveal-js/css/theme/source
for an example.


"I can't stand the weak. They're always nervous about when they might be next attacked. They can't trust anybody and they never have an opinion of their own. I can't stand such people! Zechs, nobody is strong. All of humanity is weak. And that includes you and me."


This is the history of the Internet website. We will introduce five videos about the history of the Internet in this website.
Collaborators: Krishna Eleti and Jiaxing Zhang


--- layout: post title: Wedge Table categories: - Woodworking tags: [] comments: [] ---
This year over Thanksgiving, Matt and I made an interesting table out of red oak and walnut. It was inspired by a clipping from a catalog. This was our hardest project so far, and I think it came out well.
The original design is by Eben Blaney. Thanks Eben! We worked from the picture above and a few others, and tried to roughly match his table.
We started by modeling with Onshape.
The design ended up being pretty complicated. We picked a 45° angle between the long leg and the top. Then, to make things easy and reduce the chance of cutting angles wrong, we made the central triangle of the table isosceles. That meant that every angle on the table was either 45° or 67.5°. I think this was a good idea.
First, we chopped all the wood to length. Two 38" lengths of 1x4" for the double legs, a 53.5" length of 1x8" for the single leg, and a 48" length of 1x12" for the top. We also cut some smaller pieces of walnut for the stretchers and the peg.
Next, we bent a thin piece of wood to mark the curves on the double legs and carefully cut the excess away with a jig saw. The jig saw blade wanders around and doesn't make edges that are perfectly square. We fixed this a bit using sand paper. I think a band saw would have been better for this, but we didn't have one.
Using a pull saw and chisels, we cut diagonal dados into the double legs where the single leg would cross it.
Cutting the angled hole in the top was tricky. We made a jig and roughed out this hole with a hand drill, then finished the job with chisels.
We cut the shoulders off of the single leg, fitted it into the hole in the top, marked the hole for the pin, and cut it using the same technique.
We finished the double legs by cutting the tenons for the stretchers. Normal tenons for the top stretcher and through tenons for the bottom one. We made the stretchers themselves out of walnut.
Next, we glued up the legs. Because the top was not glued to the legs, we added a pin between the top and the upper stretcher to keep the top from sliding around. We cut an angled peg for top by eye out of walnut.
Finally, we sanded everything and applied finishing wax.
Came out pretty good, I think.


Returns a function which calls function fn
bound to self
(self
becomes the this
for
fn
). You can supply optional args
that are are prebound to the function. This feature is also
known as function currying.
bind(self, fn, args);
self – {Object} –
Context which fn
should be evaluated in.
fn – {function()} –
Function to be bound.
args – {...*} –
Optional arguments to be prebound to the fn
function call.
{function()}
– Function that wraps the fn
with all the specified bindings.