"Mediates between the domain and data mapping layers using a collection-like interface for accessing domain objects" (Martin Fowler).
Repositories, in practice, are used to perform database operations for domain objects (Entity and Value types). Generally, a seperated repository is used for each Entity (or Aggregate Root).
In ASP.NET Boilerplate, a repository classes implement IRepository<TEntity, TPrimaryKey> interface. ABP can automatically creates default repositories for each entity type. You can directly inject IRepository<TEntity> (or IRepository<TEntity, TPrimaryKey>). An example application service uses a repository to insert an entity to database:
public class PersonAppService : IPersonAppService
{
private readonly IRepository<Person> _personRepository;
public PersonAppService(IRepository<Person> personRepository)
{
_personRepository = personRepository;
}
public void CreatePerson(CreatePersonInput input)
{
person = new Person { Name = input.Name, EmailAddress = input.EmailAddress };
_personRepository.Insert(person);
}
}
PersonAppService contructor-injects IRepository<Person> and uses the Insert method.
You only create a repository class for an entity when you need to create a custom repository method(s) for that entity.
A repository definition for a Person entity is shown below:
public interface IPersonRepository : IRepository<Person>
{
}
IPersonRepository extends IRepository<TEntity>. It's used to define entities which has a primary key type of int (Int32). If your entity's primary key is not int, you can extend IRepository<TEntity, TPrimaryKey> interface as shown below:
public interface IPersonRepository : IRepository<Person, long>
{
}
ASP.NET Boilerplate is designed to be independent from a particular ORM (Object/Relational Mapping) framework or another technique to access to database. Repositories are implemented in NHibernate and EntityFramework as out-of-the-box. See documents to implement repositories in ASP.NET Boilerplate in these frameworks:
Every repository has some common methods coming from IRepository<TEntity> interface. We will investigate most of them here.
TEntity Get(TPrimaryKey id);
Task<TEntity> GetAsync(TPrimaryKey id);
TEntity Single(Expression<Func<TEntity, bool>> predicate);
Task<TEntity> SingleAsync(Expression<Func<TEntity, bool>> predicate);
TEntity FirstOrDefault(TPrimaryKey id);
Task<TEntity> FirstOrDefaultAsync(TPrimaryKey id);
TEntity FirstOrDefault(Expression<Func<TEntity, bool>> predicate);
Task<TEntity> FirstOrDefaultAsync(Expression<Func<TEntity, bool>> predicate);
TEntity Load(TPrimaryKey id);
Get method is used to get an Entity with given primary key (Id). It throws exception if there is no entity in database with given Id. Single method is similar to Get but takes an expression rather than an Id. So, you can write a lambda expression to get an Entity. Example usages:
var person = _personRepository.Get(42); var person = _personRepository.Single(p => p.Name == "John");
Notice that Single method throws exception if there is no entity with given conditions or there are more than one entity.
FirstOrDefault is similar but returns null (instead of throwing exception) if there is no entity with given Id or expression. Returns first found entity if there are more than one entity for given conditions.
Load does not retrieves entity from database but creates a proxy object for lazy loading. If you only use Id property, Entity is not actually retrieved. It's retrieved from database only if you access to other properties of entity. This can be used instead of Get, for performance reasons. It's implemented in NHibernate. If ORM provider does not implements it, Load method works as identical as Get method.
List<TEntity> GetAllList(); Task<List<TEntity>> GetAllListAsync(); List<TEntity> GetAllList(Expression<Func<TEntity, bool>> predicate); Task<List<TEntity>> GetAllListAsync(Expression<Func<TEntity, bool>> predicate); IQueryable<TEntity> GetAll();
GetAllList is used to retrieve all entities from database. Overload of it can be used to filter entities. Examples:
var allPeople = _personRepository.GetAllList();
var somePeople = _personRepository.GetAllList(person => person.IsActive && person.Age > 42);
GetAll returns IQueryable<T>. So, you can add Linq methods after it. Examples:
//Example 1
var query = from person in _personRepository.GetAll()
where person.IsActive
orderby person.Name
select person;
var people = query.ToList();
//Example 2:
List<Person> personList2 = _personRepository.GetAll().Where(p => p.Name.Contains("H")).OrderBy(p => p.Name).Skip(40).Take(20).ToList();
With using GetAll, almost all queries can be written in Linq. Even it can be used in a join expression.
When you call GetAll() out of a repository method, there must be an open database connection. This is because of deferred execution of IQueryable<T>. It does not perform database query unless you call ToList() method or use the IQueryable<T> in a foreach loop (or somehow access to queried items). So, when you call ToList() method, database connection must be alive. For a web application, you don't care about that in most cases since MVC controller methods are unit of work by default and database connection is available for entire request. See UnitOfWork documentation to understand it better.
There is also an additional method to provide power of IQueryable that can be usable out of a unit of work.
T Query<T>(Func<IQueryable<TEntity>, T> queryMethod);
Query method accepts a lambda (or method) that recieves IQueryable<T> and returns any type of object. Example:
var people = _personRepository.Query(q => q.Where(p => p.Name.Contains("H")).OrderBy(p => p.Name).ToList());
Since given lamda (or method) is executed inside the repository method, it's executed when database connection is available. You can return a list of entities, a single entity, a projection or something else that executes the query.
IRepository interface defines methods to insert an entity to database:
TEntity Insert(TEntity entity);
Task<TEntity> InsertAsync(TEntity entity);
TPrimaryKey InsertAndGetId(TEntity entity);
Task<TPrimaryKey> InsertAndGetIdAsync(TEntity entity);
TEntity InsertOrUpdate(TEntity entity);
Task<TEntity> InsertOrUpdateAsync(TEntity entity);
TPrimaryKey InsertOrUpdateAndGetId(TEntity entity);
Task<TPrimaryKey> InsertOrUpdateAndGetIdAsync(TEntity entity);
Insert method simply inserts new entity to database and returns the same inserted entity. InsertAndGetId method returns Id of new inserted entity. This is useful if Id is auto increment and you need Id of the new inserted entity. InsertOrUpdate inserts or updated given entity by checking it's Id's value. Lastly, InsertOrUpdateAndGetId returns Id of the entity after inserting or updating.
IRepository defines methods to update an existing entity in the database. It gets the entity to be updated and returns the same entity object.
TEntity Update(TEntity entity); Task<TEntity> UpdateAsync(TEntity entity);
Most of times you don't need to explicitly call Update methods since unit of work system automatically saves all changes when unit of work completes. See unit of work documentation for more.
IRepository defines methods to delete an existing entity from the database
void Delete(TEntity entity); Task DeleteAsync(TEntity entity); void Delete(TPrimaryKey id); Task DeleteAsync(TPrimaryKey id); void Delete(Expression<Func<TEntity, bool>> predicate); Task DeleteAsync(Expression<Func<TEntity, bool>> predicate);
First method accepts an existing entity, second one accepts Id of the entity to delete. The last one accepts a condition to delete all entities fit to given condition. Notice that all entities matches given predicate may be retrived from database and then deleted (based on repository implementation). So, use it carefully, it may cause performance problems if there are too many entities with given condition.
IRepository also provides methods to get count of entities in a table.
int Count(); Task<int> CountAsync(); int Count(Expression<Func<TEntity, bool>> predicate); Task<int> CountAsync(Expression<Func<TEntity, bool>> predicate); long LongCount(); Task<long> LongCountAsync(); long LongCount(Expression<Func<TEntity, bool>> predicate); Task<long> LongCountAsync(Expression<Func<TEntity, bool>> predicate);
ASP.NET Boilerplate supports async programming model. So, repository methods has Async versions. Here, a sample application service method that uses async model:
public class PersonAppService : AbpWpfDemoAppServiceBase, IPersonAppService
{
private readonly IRepository<Person> _personRepository;
public PersonAppService(IRepository<Person> personRepository)
{
_personRepository = personRepository;
}
public async Task<GetPeopleOutput> GetAllPeople()
{
var people = await _personRepository.GetAllListAsync();
return new GetPeopleOutput
{
People = Mapper.Map<List<PersonDto>>(people)
};
}
}
GetAllPeople method is async and uses GetAllListAsync with await keyword.
Async may not be supported by all ORM frameworks. It's supported by EntityFramework. If not supported, Async repository methods works synchronously. Also, for example, InsertAsync works same as Insert in EntityFramework since EF does not write new entities to database until unit of work completes (a.k.a. DbContext.SaveChanges).
A database connection is not opened or closed in a repository method. Connection management is made automatically by ASP.NET Boilerplate.
A database connection is opened and a transaction begins while entering a repository method automatically. When the method ends and returns, all changes are saved, transaction is commited and database connection is closed automatically by ASP.NET Boilerplate. If your repository method throws any type of Exception, the transaction is automatically rolled back and database connection is closed. This is true for all public methods of classes those implement IRepository interface.
If a repository method calls to another repository method (even a method of different repository) they share same connection and transaction. Connection is managed (opened/closed) by the first method that enters a repository. For more information on database connection management, see UnitOfWork documentation.
All repository instances are Transient. It means, they are instantiated per usage. See Dependency Injection documentation for more information.


Provides seven basic functions that support an implementation of choice experiments.
| Version: | 0.4-1 |
| Depends: | DoE.base, MASS, simex, stats, RCurl, XML |
| Suggests: | survival |
| Published: | 2015-08-27 |
| Author: | Hideo Aizaki |
| Maintainer: | Hideo Aizaki <azk-r at spa.nifty.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | support.CEs citation info |
| Materials: | NEWS |
| In views: | ExperimentalDesign |
| CRAN checks: | support.CEs results |
| Reference manual: | support.CEs.pdf |
| Package source: | support.CEs_0.4-1.tar.gz |
| Windows binaries: | r-devel: support.CEs_0.4-1.zip, r-release: support.CEs_0.4-1.zip, r-oldrel: support.CEs_0.4-1.zip |
| OS X binaries: | r-release: support.CEs_0.4-1.tgz, r-oldrel: support.CEs_0.4-1.tgz |
| Old sources: | support.CEs archive |
Please use the canonical form https://CRAN.R-project.org/package=support.CEs to link to this page.


Process Definitions
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| I l@ve RuBoard |
We have covered a wide range of database APIs and data sources, and demonstrated that Python can connect to data from any modern database. Now we will look at some areas in which Python can do useful things with the data.
The first major area of work is what we call data laundering. This involves writing programs to acquire data from a source database, reshape it in some way, and load it into a destination database. One major difference between database development and general application development is that databases are live; you can't just switch them off for a few months. This means that what would be a simple upgrade for a Windows application becomes a much more complex process of repeatedly migrating data and running in parallel. Here are some examples of areas where this type of work is needed:
When a database is replaced, the new database structure is almost always different. The new database needs to be developed with sample data available, then tested extensively, then run in parallel with the old one while all the users and client applications are moved across. Scripts are needed to migrate the data repeatedly (usually daily) from source to destination, often performing validity checks on the way in.
Businesses often have databases whose areas of interest overlap. A fund manager might have a core system for processing deals in its funds, and a marketing database for tracking sales calls; marketing needs a recent copy of some of the deal information to help serve the clients, possibly simplified and pre-digested in various ways. Again, a daily process of exporting, rearranging, and loading is needed.
The classic case for repeated data laundering is the data warehouse. A company has one or more transaction-processing databases, which usually have numerous highly normalized tables, optimized for insertion and lookups of small numbers of records at any one time. A data warehouse is a second, parallel database optimized for analysis. It's essentially read-only with a simple structure geared to computing averages and totals across the whole database. This is refreshed daily in a process known as the production data load. The production data load needs to acquire data from several databases, reshape it in ways that are often impossible for SQL, validate it in various ways, then load into the destination database. This is a perfect niche for Python.
All these tasks involve writing scripts to reshape the data.
We'll now start to build a toolkit to help with these kinds of operations. The toolkit is based on real classes and functions that have been used in a number of serious projects and have proved their utility many times over (see the case study later on), although we have simplified and cut down the code considerably for this book. All the code for the rest of this chapter can be found in the module laundry.py at http://starship.python.net/crew/mhammond/ppw32/.
There are several useful ways to represent data. The most obvious is as rows. The Python format for data as rows returned from database cursors is a list of tuples.
This is such a common representation that we'll wrap it in a class called DataSet . The class doesn't serve to hide the data; it's just a convenient place to hang a load of data-manipulation methods (as well as to keep the field names). Here's part of its definition, showing how to construct a DataSet and display its contents:
class DataSet: "wrapper around a tabular set of data" def __init__(self): self.data = [] self.fieldnames = [] def pp(self): "Pretty-print a row at a time - nicked from Gadfly" from string import join stuff = [repr(self.fieldnames)] + map(repr, self.data) print join(stuff, "\n") def DataSetFromCursor(cursor): " a handy constructor" ds = DataSet() ds.fieldnames = getFieldNames(cursor) ds.data = cursor.fetchall() return ds
You can use this as follows:
>>> import ODBC.Windows >>> conn = ODBC.Windows.Connect('PYDBDEMOS') >>> cursor = conn.cursor() >>> cursor.execute('SELECT ClientID, PeriodEnding, Consultant, Hours FROM Invoices') >>> import laundry >>> ds = laundry.DataSetFromCursor(cursor) >>> cursor.close() >>> conn.close() >>> ds.pp() ('ClientID', 'PeriodEnding', 'Consultant', 'Hours') ('MEGAWAD', 1999-04-18 00:00:00.00, 'Joe Hacker', 42.0) ('MEGAWAD', 1999-04-18 00:00:00.00, 'Arthur Suit', 24.0) ('MEGAWAD', 1999-04-25 00:00:00.00, 'Joe Hacker', 57.0) ('NOSHCO', 1999-04-25 00:00:00.00, 'Tim Trainee', 18.0) ('MEGAWAD', 1999-04-18 00:00:00.00, 'Joe Hacker', 42.0) >>>
The ability to see the field names becomes useful when writing data-cleaning scripts at an interactive prompt.
Now that we have the data, what to do with it depends on the operation taking place. An approach that has stood the test of time is to keep adding operations to the Dataset class, building over time a veritable Swiss army knife. Common families of operations can include:
Applying functions to entire columns in order to format numbers and dates, switch encodings, or build database keys.
Inserting, appending, and deleting whole columns, breaking into several separate datasets whenever a certain field changes, and sorting operations.
Cross-tabulate, detabulate (see Figure 13.4), and transpose.
Load and save to native Python data (marshal, cPickle), delimited text files, and fixed-width text files.
Some of these operations are best understood diagrammatically. Consider the operation in Figure 13.4, which can't be performed by SQL.
This operation was a mainstay of the case study that follows. Once the correct operations have been created, it can be reduced to a piece of Python code:
>>> ds1.pp() # presume we have the table above already ('Patient', 'X', 'Y', 'Z') ('Patient 1', 0.55, 0.08, 0.97) ('Patient 2', 0.54, 0.11, 0.07) ('Patient 3', 0.61, 0.08, 0.44) ('Patient 4', 0.19, 0.46, 0.41) >>> ds2 = ds1.detabulate() >>> ds2.addConstantColumn('Date',DateTime(1999,5,1),1) >>> ds2.addConstantColumn('Lab','QMH', 1) >>> ds2.pp() ('Row', 'Lab', 'Date', 'Column', 'Value') ('Patient 1', 'QMH', 1999-05-01 00:00:00.00, 'X', 0.55) ('Patient 2', 'QMH', 1999-05-01 00:00:00.00, 'X', 0.54) ('Patient 3', 'QMH', 1999-05-01 00:00:00.00, 'X', 0.61) ('Patient 4', 'QMH', 1999-05-01 00:00:00.00, 'X', 0.19) ('Patient 1', 'QMH', 1999-05-01 00:00:00.00, 'Y', 0.08) ('Patient 2', 'QMH', 1999-05-01 00:00:00.00, 'Y', 0.11) ('Patient 3', 'QMH', 1999-05-01 00:00:00.00, 'Y', 0.08) ('Patient 4', 'QMH', 1999-05-01 00:00:00.00, 'Y', 0.46) ('Patient 1', 'QMH', 1999-05-01 00:00:00.00, 'Z', 0.97) ('Patient 2', 'QMH', 1999-05-01 00:00:00.00, 'Z', 0.07) ('Patient 3', 'QMH', 1999-05-01 00:00:00.00, 'Z', 0.44) ('Patient 4', 'QMH', 1999-05-01 00:00:00.00, 'Z', 0.41) >>>
We won't show the methods to implement this; they involve straightforward Python loops and list slicing, as do most of the things we would want to do with a DataSet. Their effect is to take our data-laundering scripts to a higher level of abstraction and clarity.
Case Study: Applied BiometricsApplied Biometrics, GmbH, in Berlin provides statistics and data quality assurance for medical studies. The company is run by Chris Tismer, the initiator and administrator of the Python Starship ( http://starship.python.net), a web site that provides home pages to many of the most interesting Python extensions. When drugs are being tested, case report forms are prepared on each patient in the study with literally hundreds of measurements of all kinds. Data needs to be keyboarded twice, normalized somehow, and analyzed, with the final result being a 100+ page report summarizing the data. Applied Biometrics automates the whole process with Python and Office, Access databases are built for each study, and the analysis and reporting are handled by Python scripts. The data never arrives all at once, so the whole process must be automated and repeatable. In 1997, Applied Biometrics took on a challenge no other rival would touch: try to combine everything known about a certain drug into one comprehensive database. Studies ranged from controlled short-term lab tests (few patients, same things measured on each) to badly kept patient diaries from thousands of patients. Data sources also varied from AB's own keyboarded data to tables from statistical packages and even text files to be parsed. Andy Robinson helped to formulate an overall approach in the early stages. It was necessary to find an approach that allowed medical and statistics graduates with little programming experience to write data-laundering scripts. We came up with the concept of a data warehouse of very general measurements (of a variable, on a patient, at a point in time). The Dataset concept was developed, and we wrote methods to provide common geometric operations—slicing and dicing by column or row, transposing, grouping, and detabulating. The students were able to understand these basic operations and write scripts to launder individual databases. The end product was a stream of measurements that went through a verification funnel before entering a target database. Chris has been optimizing this system for two years, and knows more about controlling Word and Access from Python than anyone. The current system builds a database of 315,000 measurements from 29 different source databases in 50 minutes. |
Another useful and powerful representation of data is as a dictionary of keys and values. This leads to a much easier syntax when you edit and modify records; the field names can be used rather than numeric indexes. It's also useful when putting together data about the same thing from different sources. There will be some overlap between fields, but not total agreement. Dictionaries can represent sparse data compactly. A classic example is found in the Transaction architecture from Part II, where there was a method to convert a transaction to a list of dictionaries. A sales transaction has different keys and values from a payroll transaction.
You'll rarely want just one dictionary, so we have added the following method to convert a DataSet to a list of dictionaries:
class DataSet: <continued...> def asDicts(self): "returns a list of dictionaries, each with all fieldnames" dicts = [] fieldcount = len(self.fieldnames) for row in self.data: dict = {} for i in range(fieldcount): dict[self.fieldnames[i]] = row[i] dicts.append(dict) return dicts
This enables you to get a row from a query and modify it flexibly: let's grab our first invoice from the sample database and look at it. Assume you've just done a 'Select * FROM Invoices' in a cursor:
>>> dict = ds.asDicts()[0] # grab the first one >>> pprint(dict) {'ClientID': 'MEGAWAD', 'Comments': None, 'Consultant': 'Joe Hacker', 'DatePaid': None, 'ExpenseDetails': None, 'Expenses': 0.0, 'HourlyRate': 50.0, 'Hours': 42.0, 'InvoiceDate': 1999-04-15 00:00:00.00, 'InvoiceID': 199904001, 'PeriodEnding': 1999-04-18 00:00:00.00, 'TaxRate': 0.175} >>>
You can now modify this easily, overwriting, dropping, and adding keys as needed. It's also possible to build powerful relational joins in a few lines of code using Python dictionaries; that is part of what Gadfly does.
When you want to do the opposite, tabulate a list of dictionaries easily by specifying the keys you want. The next function creates dictionaries:
def DataSetFromDicts(dictlist, keylist=None): # tabulates shared keys if not keylist: # take all the keys all_key_dict = dictlist[0] for dict in dictlist: all_key_dict.update(dict) keylist = all_key_dict.keys() keylist.sort() # better than random order ds = DataSet() ds.fieldnames = tuple(keylist) for dict in dictlist: # loop over rows row = [] for key in keylist: # loop over fields try: value = dict[key] except: value = None row.append(value) ds.data.append(tuple(row)) return ds
If you supply a list of the keys you want, this function builds a Dataset with columns to match; if you omit the keys, it shows the set of all keys found in all dictionaries. This can be used as follows:
>>> pc1 = {'Name':'Yosemite', 'Maker':'Carrera','Speed':266} >>> pc2 = {'Name':'Tahoe', 'Maker':'Gateway','Memory':64} >>> pc3 = {'Name':'Gogarth','Maker':'NeXT','Speed':25,'Elegance':'Awesome'} >>> pc4 = {'Name':'BoxHill','Maker':'Psion','Memory':2} >>> my_kit = [pc1,pc2,pc3,pc4] >>> comparison = laundry.DataSetFromDicts(my_kit, ... ['Name','Model','Memory'] ... ) ... >>> comparison.pp() ('Name', 'Model', 'Memory') ('BoxHill', None, 2) ('Tahoe', None, 64) ('Gogarth', None, None) ('BoxHill', None, 2) >>>
You now have the ability to move back and forth from a tabular to a dictionary representation.
Sooner or later you need to pump data into a destination database. We've already seen how DBAPI-compliant modules allow us to insert a list of tuples at one time, and how this provides optimal performance. In a case such as a data warehouse, the number of destination tables and fields will be quite small so it's no trouble to build the SQL statements by hand for each table; and we already have the list of tuples ready to go:
mycursor.executemany(MyTableStatement, MyDataSet.data)
Where there are many destination tables, a shortcut can be taken if the field names are simple and match the underlying database well; you can write a routine that uses the field names in the DataSet and generates an SQL INSERT statement to match.
Often there are better ways to bulk-load data. The important thing is to know that you have correctly structured DataSets for the destination database; if that's true, you can often save them to a tab- or comma-delimited file and use the database's bulk-load facility with far greater speed.
| I l@ve RuBoard |


The Story of Us 1/2
Rated on a 4-star scale Screening venue: Odeon (Manchester City Centre) Released in the UK by UIP on April 21, 2000; certificate 15; 92 minutes; country of origin USA; aspect ratio 1.85:1
Directed by Rob Reiner; produced by Jessie Nelson, Rob Reiner, Alan Zweibel. Written by Jessie Nelson, Alan Zweibel. Photographed by Michael Chapman; edited by Alan Edward Bell, Robert Leighton.
CAST..... Bruce Willis..... Ben Jordan Michelle Pfeiffer..... Katie Jordan Colleen Rennison..... Erin Jake Sandvig..... Josh Rita Wilson..... Rachel Julie Hagerty..... Liza Paul Reiser..... Dave Tim Matheson..... Marty Red Buttons..... Arnie Jayne Meadows..... Dot Tom Poston.....  Rob Reiner's "The Story of Us" is atrocious from every angle, a film with a pointless concept, evasion of its central issue and the most embarrassing moments of comic relief you could possibly imagine. Who wants to see clips of a married couple fighting for an hour and a half, especially when we never really understand what they're arguing about, we don't know how seriously we're supposed to take it, and it keeps getting interrupted by some of the worst-written 'wit' in entertainment history? Not me.
Bruce Willis and Michelle Pfeiffer star as the husband and wife, who live in suburbia and have two young children. He's a sitcom writer. She scripts crossword puzzles. They put on an act of happy families for the kids, but in private can no longer stand each other. Flashbacks attempt to show us the marriage disintegrating. Present-day scenes involving the former lovebirds are a combination between shouting matches and uncomfortable silence.
One my major problems with "The Story of Us" is that we're rarely actually informed what it is the couple are fighting about. The one scene that does reveal the problem at hand is completely insipid -- Willis is trying to tell Pfeiffer that his old apartment block has been demolished, and she's doing something else, and can't hear him. Aww. The rest of the time the pair are telling each other how bad they feel or how much they hate each other, but they don't say WHY. What started all the fights we see? Who knows. Reiner, the director, and his screenwriters, Jessie Nelson and Alan Zweibel, just want to show us a parade of insults.
The characters are strange people anyway. At the dinner table, they always play a game called "High-Low", which involves all family members taking turns to share their best and worst moments of every day. Do people do things like that in real life?
The dialogue is abysmal. People around me in the screening of the film must have thought I was an oddball, because I was literally wincing at it. Then again, maybe they knew how I felt. There is an array of dire ironic speeches in the movie, all of which are so transparently constructed that they come across as read rather than spoken. They appear when Willis and Pfeiffer are asking their friends for advice, and resemble obnoxious versions of the chatter in "Seinfeld". Typical example: "Hey, I jerked off to your secretary last night; is that okay, or against the rules?" "Pound away, man, it's not an affront to me." "Cool. Hey -- whaddya think -- is masturbating technically cheating, or not?"
Here's an even worse moment, involving Reiner himself, in a smug cameo appearance as one of Willis's friends. The two guys are walking in the park, talking things over. Reiner stops in the middle of a pathway, bends over and says something to the effect of: "You see that?  Wrong.  Just a fatty part at the top of my legs. There just is no ass! And just as there is no ass, there is no true love. It's all an illusion." I swear to God I'm not making this up. The movie really is this bad.
The ending is yet another speech, a big, loud emotional moment in which Pfeiffer starts screaming a revelation about why she and Willis should stay together. This goes against everything that has gone before, and her reasoning, essentially, is that even if the couple end up leading miserable lives, at least they won't have to face change. Was this movie made by aliens who wanted to satirise human irrationality? If so, I wish someone had told me before I went in. It would have clicked things right into context.
COPYRIGHT(c) 2000 Ian Waldron-Mantgani Please visit, and encourage others to visit, the UK Critic's website, which is located at http://members.aol.com/ukcritic
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Before Change
self.raiseAnError(IOError,"variables "+str(romVars)+" specified in ROM but not sampler! Collocation requires all vars in both.")
for v in ROMdata.keys():
if v not in self.axisName:
self.raiseAnError(IOError,"variable "+v+" given interpolation rules but "+v+" not in sampler!")
else:
self.gridInfo[v] = ROMdata[v] //quad, poly, weight
//set defaults, then replace them if they"re asked for
for v in self.axisName:
After Change
self.raiseAnError(IOError,"variables "+str(romVars)+" specified in ROM but not sampler! Collocation requires all vars in both.")
for v in ROMdata.keys():
if v not in self.axisName:
self.raiseAnError(IOError,"variable "{}" given interpolation rules but variable not in sampler!".format(v))
else:
self.gridInfo[v] = ROMdata[v] //quad, poly, weight
//set defaults, then replace them if they"re asked for
for v in self.axisName:


Everyweek at WaffleMovies.com, I review independent films and big studio pictures that deserve a second chance on video. If you like this review, check out this week's WaffleMovies.com selection, Ulee's Gold.
Willie Waffle www.wafflemovies.com<EMAIL_ADDRESS>Next Stop Wonderland
As we enter our late twenties and early thirties, those who are unmarried start to question the possibility of finding that special someone we have been waiting for all of our lives. Next Stop Wonderland examines this search for true happiness in the nineties. The movie also uses humor to tackle the weighty issues of loneliness, self-image and our belief in fate, as well as the differences between who we are, who we become to please others, and how others perceive us.
The movie stars Hope Davis as Erin, a 29 year old woman grieving over the loss of her father, her unfulfilling love life and expectations of who she is and what she should want out of life. Hope Davis is destined for Hollywood greatness. She shows great acting ability by portraying an emotional spectrum consisting of desperate, sad, tough, playful and vulnerable. She has had major roles in three movies (Next Stop Wonderland, Daytrippers and The Myth of Fingerprints), and is on the brink of a stellar career. Hopefully, she will be able to continue to land roles that utilize her many talents.
 She has chosen to drop out of life as well. Her fun, vivacious personality has disappeared as she retreats into a state of emptiness, plagued by a belief that there is no hope for true love, just reliance on self. Two scenes early in the movie give us true insight into Erin.
The first is the opening scene, where her boyfriend Sean, played by Phillip Seymour Hoffman, tries to dump her by videotape, but the plan is foiled when she comes home early. Sean is an emotional activist who feels Erin is void of passion and decides to leave Boston to pursue his latest cause. The second scene is a debate between Erin and her friend Cricket, played by Callie Thorne. Cricket clings to the belief that fate is real and controls our destiny. However, Erin disagrees.
Alan Gelfant plays Alan, a 35-year old plumber who decides to chase his dream of becoming a marine biologist. Although he tries to shed his image as a plumber, he is typecast. His friends and family don't understand his dream and his co-workers at the aquarium continue to take advantage of his plumbing abilities instead of his love of marine biology. Much like Erin is trapped by everyone's false expectation of her desire to find a man, Alan is trapped by people's view that he is just a plumber.
Alan and Erin and destined to be together, but will fate step in? Director and co-writer Brad Anderson does a spectacular job of constantly placing Alan and Erin near each other, only to have them experience a series of near misses. After several close encounters, Anderson makes the audience root for a moment of fate that will bring our two stars together. Anderson and writing partner Lyn Vaus have written solid, witty dialogue that provides insight into our main characters. Anderson complements the dialogue by filming scenes that reflect what the characters are seeing and feeling.
The movie's best scenes result when Erin's mother (Holland Taylor) places a personal ad for her daughter in the Boston Herald. Erin decides to stop longing for her boyfriend and weeds out potential suitors from the 64 who have responded to her ad. Anderson puts together a hilarious compilation of losers, liars and deadbeats who have responded to the ad. We watch Erin steadily come to life by toying with the sorry group. Those who misrepresent themselves in an attempt to impress the beautiful Erin are subject to her intellect and cutting sense of humor.
The personal ad is a bust, but Erin meets Andre de Silva (Jose Zuniga) a patient who instantly falls for her. Andre persistently courts Erin until he breaks through the wall she has built around herself. Erin is not quite sure Andre is all he seems to be, but, like other characters, decides that being with someone is better than being alone.
While Erin is being romanced by Andre, Alan is chased by classmate Julie (Cara Buono), a college co-ed who relies on him for notes and tutoring. Alan realizes he is too old for Julie, but decides to invite her on a disastrous whale-sighting trip.
Will Erin dump Andre? Will Alan stop seeing Julie? Will Erin and Alan fall in love? You'll have to see the movie to find out. Unfortunately, the movie would be better if the answer to that question came much earlier in the plot, but it well worth the rental price. Claudio Ragazzi provides a bossa nova driven score that establishes a relaxed feel and Anderson tackles personal subject matter with a touch of levity.
Like many movies reviewed at www.wafflemovies.com, Next Stop Wonderland is an independent film that didn't have a wide release or a big advertising push. It was well-received when it premiered at the Sundance Film festival, but was lost in a crowded field when it debuted late in August of 1998, never a great time to release a romantic comedy.
That is unfortunate because you will recognize close friends and yourself in these characters. Hopefully, the movie will find a new audience in the rental market. Take a chance and you will like what you see.
Grade: B+
Next Stop Wonderland
Director: Brad Anderson
Writers: Brad Anderson and Lyn Vaus
Cast
Erin …………………………. Hope Davis
Alan ………………………… Alan Gelfant
Cricket ……………………… Callie Thorne
Mother ……………………… Holland Taylor
Sean …………………………. Phillip Seymour Hoffman
Julie …………………………. Cara Buono
Andre de Silva ………………. Jose Zuniga
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Related links: index of all rec.arts.movies.reviews reviews


WITNESS LIST International Relations, Trade & Technology Committee February 19, 1997-1:00P SB 294 For: McDilda, Wayne (self), Austin On: Leos, Robert H. (Texas Education Agency), Austin Ressel, Betty J. (Tx Comptroller's Office), Austin Smisko, Ann (Texas Education Agency), Austin Dept. of Commerce, TX-Mex. Office On: Arnett, Brenda (Tx Dept. of Commerce), Austin Registering, but not testifying: On: Cisneros, Jeannie (Tx Dept. of Commerce), Austin Lanford, Lane (Tx Dept. of Commerce), Austin Int'l Trade Commission Adv. Board On: Arnett, Brenda (Tx Dept. of Commerce), Austin TX-Mexico Auth. Advisory Board On: Langdale, Mark (Tx-Mexico Auth. Adv.Bd.), Dallas


FreeStick
0.3
Cross Platform Open Sorce Joystick Lib
inc
baseClasses
Classes
|
Namespaces
FSBaseEvent.h File Reference
#include "
../Interfaces/IFSEvent.h
"
Include dependency graph for FSBaseEvent.h:
This graph shows which files directly or indirectly include this file:
Go to the source code of this file.
Classes
class
freestick::FSBaseEvent
Namespaces
freestick
Generated on Mon Mar 16 2020 19:52:26 for FreeStick by
1.8.15


front end
by Alexander and Dmitrey Gerasimov
Complex UX
Rich data presentation
Complex UX
Rich data presentation
Complex UX
Delivery across platforms
Complex UX
Delivery across devices
Complex UX
Responsive design
Client logic
The Transition trend
Client logic
The Transition trend
Client logic
The Transition trend
Client logic
Web Platform
browser = runtime
Client logic
Web Platform
Client logic
Web Platform
Interactivity
Touch interfaces
Interactivity
Touch interfaces
- Different UX elements
- Touch events
- Gestures
Interactivity
Touch interfaces
Interactivity
Leap Motion: gesture control device
DEMO
JavaScript everywhere
JS features
- dynamic typing
- prototypal inheritance
- first-class functions
ECMAScript
JS Performance
Unreal Engine
running in a browser
Asm.js
Emscripten
- Qt
- Graphviz
- Emulators
- Webkit
JavaScript everywhere
The assembly of the Web
Compiled languages
- CoffeeScript
- ClojureScript
- TypeScript
Node.js
Node.js
Node.js at PayPal
Full-stack developers
UX + Front + Back = ♥
Web interfaces
js really everywhere
Web interfaces
js really everywhere
Tessel
js programmable hardware
Tessel
js programmable hardware
Tessel
js programmable hardware
node-copter
Flying JavaScript
wigwag
smart environment sensor
leap
gesture control device
DEMO
DAWN
Horizon TV application
DAWN
DAWN
HTML5
Declarative HTML5
Hides real complexity
Web API's
access to device features
CSS shader filters
not only about shapes and colors
CSS shader filters
.shader {
-webkit-filter: custom(url(shaders/sphere.vs)
mix(url(shaders/sphere.fs) multiply source-atop), ...);
CSS shader filters
CSS animations
makes smth move
@keyframes infinite-spinning {
from {
transform: rotate(0deg);
}
to {
transform: rotate(360deg);
}
}
CSS filters
PS in your browser
Web typography
- Text effects
- Icon fonts
- OpenType features
Web typography
Web standards
Web standards
W3C members
R.I.P.
Open Browsers
- WebKit/Blink
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Open Tools
- Atom
- Angular
- Mocha
- Grunt
- Node.js
our training
All about Front end
- 3 hours a day
- 3 times a week
- ~10 weeks
- completed 2 times
- ~40 new front end developers
Frontend Course Curriculum
- Front-end Inspiration
- HTML & CSS basics Layout Practice
- Sublime Text. Responsive Web Design
- Styling Things and Web typography I
- JavaScript Basics, Inheritance, Workshop
- DOM basics
- Templating, jQuery, CSS Animation
- HTTP, Fiddler
- Chrome DevTools + profiling, Ajax
- WebSockets
- CSS preprocessors, JavaScript Web APIs
- Project structure and asset management
- Testing JavaScript Applications
responsive web design
simple task for practice
DEMO
youtube app
by Kirill Dimura
DEMO
Problems
for students
- too much information
- not enough time
- hard to combine with university
- too much to learn
preconditions
what to learn before
- algorithms
- programming paradigms
- data structures
- async
- functional programming basics
- architecture and design principles
questions


Having recently left my part time job at Alton Towers I have been looking for some tasks to keep the brain awake, and so after a slog on Dead Space 2 (playing during the light hours, you wuss) I looked through my course description for next year and found out that MatLab was on the agenda, and also realised that I should brush up on my Java since the main project last year was mainly written by my mate whilst I did the artwork. I also looked into C++, and the comparisons it had with Java.
Wikipedia and forum searches aside I needed a task.
I was at a house party in Manchester recently when the drinking games were brought out, notably the infamous ‘Ring of Fire’ which requires a deck of cards. We didn’t have a deck of cards, so the computer scientist in me (yes, he does linger in the background even at parties) thought it would be good if computers could solve this cornerstone of human strife for us as well. A tipsy search on Google at the time yielded no results, so I had a basis for a small app. The next question begs, which language to use?  Besides, cracking out the terminal at parties is likely to get you stared at. I couldn’t be bothered to set up an interface using Swing in Java, so I eventually descended on my old friend Flash.
I have the archaic MX version (when it still said Macromedia on the box, fancy that) which I bought back when I was at school. I’ve always been used to this version, and so I’ve never really looked into ActionScript 3, and am used to ActionScript 2, which runs a lot slower, apparently. I haven’t used Flash in years. I mean years. This hit home to me when the suite creaked into life, trollfaced that it was out of date, and left me helplessly with a blank workspace.
So anyway, after a couple of hours of toil, the below piece of renaissance-esque mastery came out of it. It initially had a card counter but I couldn’t get the dynamic fields to update.
But next time I’m short of a pack of cards, who’s laughing then! Nobody probably, but the thought is there. :)


Plugin Information |
|---|
View VAddy on the plugin site for more information. |
VAddy is automated web security testing service provided by Bitforest.
This plugin integrates VAddy.net to Jenkins.Documents
User's manual is http://vaddy.net/docs/step03-j.html.
Changes
Version 1.2.8(Apr 25, 2016)
- Added. To specify a search keyword of crawl label.
Version 1.2.6(Feb 29, 2016)
- Added. To specify any Crawl ID.
Version 1.2.5(Feb 11, 2016)
- Fix bug. Extend timeout hours from 1 to 3.


Open Table Reservations
Colorize
Select Property
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".pikachu I choose you!"
Using classes and IDs in your CSS
February 2019
When working with CSS you use a selector to identify which HTML elements you want to style. For instance, if you wanted to style every <p> element you would use:
In this case p is your selector. But element types aren't your only option when it comes to selectors – you can make your own using classes and IDs!
Classes and IDs
The way you use classes and IDs is very similar. To give an HTML element a class, add class="class-name" to that element. For example:
To give an HTML element an ID, add id="id-name" to that element. For example:
When you've given an element a class or ID you can create style rules that apply specifically to elements with that class or ID. Note that to specify your selector is a class you will need to use a . at the beginning of the class name and to specify an ID use a # at the beginning of the ID name. For example:
But which should I use?
Use a class when you want to apply that style multiple times on your page. You can reuse one class on multiple elements, and elements can have multiple classes applied to them.
Use an ID when you're styling one specific element. There should only be one element on your page using each ID.


--- title: "Advanced Worksheet" menutitle: "Advanced" mainfont: Arial fontsize: 12pt urlcolor: blue weight: 20 ---
Package and Data Loading
As mentioned within the session setup, load the following packages using the library()
function. Additionally, as we will be using a data set with large numbers, set scipen to 999 using the option function.
library(tidyverse)
library(RColorBrewer)
options(scipen = 999)
As mentioned previously, for the purpose of this session, we will be using a sample of the Online Gaming Anxiety Data, this subset is avaliable to download as part of the .zip file downloadable from the Github Repo. It can then be loaded using the following script:
gamingdata_samp5000 <- read_csv("data/gamingdata_samp5000.csv")
Section 1: ggplot2 vs plot
Exercise 1: Plotting SPIN_T against Age using both the plot()
and ggplot()
function, discuss which has more potential in displaying data clearly.
Exercise 2: Expand the plot to group these points by Gender, which provides us with more information and is easier to achieve? Remember, you’ll need to recode gamingdata_samp5000$Gender as a factor using the function:
gamingdata_samp5000$Gender <- as.factor(gamingdata_samp5000$Gender)
Section 2: Basic Plotting Using ggplot
Exercise 3: Change the size parameter to Hours to see if there is a trend between the amount of hours, age and total SPIN score.
Exercise 4: Change the geom, from geom_point() to geom_jitter() and change the alpha parameter to 0.5 to more clearly see the relationship
Exercise 5: Change the X and Y axis labels, and title to something suitable for the plot, using the the labs() addition
Section 3: Different geom’s different plots
Exercise 6: Using geom_bar() plot the number of different cases in each gender
Exercise 7: Expand upon the geom_bar() plot, to determine the average (mean) number of Hours played by each gender.
Hint: Ensure to add stat = “summary” into your geom_bar() function.
Exercise 8: Expanding again on the plot created in Exercise 6, after using the following code to convert the Platform variable into a factor, specify the fill value to Platform.
Exercise 9: Through adding the appropriate limits function (xlim(), ylim(), lims()) in ggplot() set the upper threshold of your plot to 5,000
Section 4: Customization Part 1
Exercise 10: Using all the customization skills we have already discussed (labs(), lims() and geom’s), examine the relationship between an individuals Age, Number of Hours playing, their employment and what platform they use. Once completed, add one of the following themes to the end of your code, which looks best (to you)?
Hint: Consider using the mapping aesthetics such as colour, size, shape, alpha etc, to map the categorical variables.
Section 5: Layering different geom’s
Exercise 11: Using the code developed in Section 2 (Age, Hours and Total Spin Score) add an additional geom_jitter() layer which plots the GAD score.
Exercise 12: Expanding on the code from Exercise 11, replace the colour variable (currently Gender) with a colour to differentiate between SPIN and GAD. You can add back in Gender as a shape variable (see here for options).
Exercise 13: Conducting a direct swap between a colour (“blue” or “red”) and the variable Gender, does not produce a usable legend. As such, remove the colour parameter from the mapping = aes() component.
Exercise 14: Although this corrects the colours, there is no usable legend. To add a colour specific legend, you must return the colour = parameter to inside mapping=aes(), alongside adding scale_colour_identity(). To apply this, use the given template to specify what the colours indicates. Additionally correct the axis names so they represent the contents of the plot.
Exercise 15: Colours and legends can also be used for continuous variables. Return to just a single variable (SPIN_T), and specify the colour parameter as the hours variable (Hours). Is this clearer than the when Hours was specified as the size variable?
Exercise 16: To improve the clarity of the scale, you can use the function scale_colour_gradient() to specify the colours of the low and high points as well as any specific breaks. Add this function to the previous plot (Ex.14), using the template provided. Think about what are good breaks to use within this function.
Exercise 17: An alternative to layering multiple plots on on top of each other, is to use facet_wrap() or facet_grid() to produce graphs side by side. Using this a faceting function you can split the graphs up by a specific variable. Try using facet_wrap() to split the graph produced in Ex.14, by Gender.
Exercise 18. Alternatively you can split by a factor not included in the graph at the point of creation. Try using facet_grid() again to this time split the same graph by “Platform”.
Section 6: Publishing Plots from ggplot2
Exercise 19a: Using the function ggsave(), export your last plot (using the parameter last_plot()). Use the template provided to structure your export.
Exercise 19b: Alternatively, you can set a specific graph to a variable (for example: “plot_to_print”) and past it in place of last_plot(). Additionally, you can change parameters such as the height and width, dpi, scale and type of export accordingly. Try to export the plot you made for Ex.16, as a JPEG (.jpeg), with a dpi of 500 and a size of 5cmx10cm.
Exercise 20: Alternatively, you can also use the export function in the Rstudio UI to export your plots. To do this, click export in your plots tab (if plots are produced there) and export accordingly. If you are using the accompanying worksheet (which is a .R script), try saving any of your previous plots as .pdf files following the instructions in RStudio.


Battle Netのインストールとパッチの問題を修正する方法 修正する 2021
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Fake News Website YourNewsWire Renamed NewsPunch (Again) -- Possibly To Avoid Filters
Hoax Alert
YourNewsWire used to be one of the most notorious websites spreading fake news, often by using bits and pieces of real news articles from other websites to create new articles


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Home page of FreeMind
There's a Wiki for FreeMind that offers lots of good tips and discussion. In particular, see the FAQ.


EQ and IQ
EQ is emotional quotient and IQ is intelligence quotient, The difference between the two are simple. IQ is an intelligence test score, this test is designed to assess a persons cognitive ability to think and reason. The test is designed to compare your score to others in the same age and gender demographic.
EQ is being able to identify ones own emotions. It is the level of emotional intelligence in a person. The difference between IQ and EQ in the real world is that IQ defines how smart you are in a ‘school’ or ‘work’ level but EQ is your success rate in life.
EQ is how we act in a social setting, how we communicate and integrate ourselves with others and how we treat others in life. This is hugely important, as it is involved in how we do everything. We can be successful beings if we have a high EQ because it means that we can cope with pressures in the work place or being able to communicate whats going on in a particular situation. The difference between IQ and EQ is that you can’t really change ones IQ but you can learn how to use you’re brain and learn to manage and handle situations more effectively with EQ.


Why doesn’t anyone use my library?
01:45 PM - 02:10 PM on August 15, 2015, Room 704James Robert
- Audience level:
- novice
- Watch:
- http://youtu.be/l4NLunN0rhQ
Description
When, why, and how to open source code, and how to get it into real-world use. Lessons learned working on Pydub (audio for humans, a la requests). It's grown to incorporate contributions from around the world, over 1000 stars on GitHub and the nicest API you'll find this side of the DAC.
Slides: https://speakerdeck.com/jiaaro/why-doesnt-anyone-use-my-library
Abstract
Stories from Pydub's history, good ideas I've had along the way, and life lessons I've learned from the experience. Mainly patience.
I never would have thought I'd end up contributing to PyPy or finding questions (and answers!) about my project on Stack Overflow, but here we are!
I originally came to open source software young and excited, but I was disappointed when nobody used my projects. I think (hope) I've learned a few things about which Open Source projects get used and why, and also about what creators can do to help the process along.


Welcome to Gecko!
Gecko is here to help you find the most relevant papers to your research
and give you a more complete sense of the research landscape.
Simply provide several 'seed papers' that define an area you are interested
in and Gecko will search out all the papers that they cite and all the papers that cite them.
It then builds a network from all of these papers allowing you to quickly
identify important papers you may have missed.
For example, papers that are cited by all of your seed papers are likely to be important
foundational papers in the field, whilst papers that cite a lot of the seed
papers are likely to be more recent papers in the same area that might be worth reading.
The more seed papers you pick the more you can narrow in on a specific topic.
Getting Started
To get started add some seed papers by clicking the big green plus in the 'seed papers' panel.
This will give you three options:
- Add by DOI
- Search by Title
- Upload BibteX
For a demo of what Gecko can do, click Upload BibTex and click DEMO.
The seed papers added appear in the Seed Papers panel. The papers connected to these seed papers in the citation network appear in the 'Connected Papers' panel.
There are two ways of viewing the connected papers:
Network View
In this view you can see how each paper connects to the different seed papers graphically.
You can switch between viewing a graph showing only references of the seed papers and a graph
showing only the papers that cite the seed papers by clicking the grey node in the key to toggle between the two.
In order to hide less well connected papers from the Network View use the slider to select
the minimum number of connections a paper requires to be displayed.
Table View
In the table view papers can sorted by "Seeds Cited" or "Seeds Cited-By" in order to find highly connected papers.
If one of the connected papers seems highly relevant you can add it as a
seed paper by clicking the 'Add' button at the end of the row, expanding the network in order to uncover more papers.
You can also do this in the network view by clicking on the relvant node and then on the 'Make Seed' button.
Feedback
Thank you for using this demo version of Gecko. If you have any feedback i.e. bugs or feature requests drop me an email at<EMAIL_ADDRESS>or start an issue thread on Github here.
Enjoy!


Intro to HTML/CSS
Part 2
Quiz Part 1
Which tag is used to create a link to another page?

<link>

<schnauzers>
Answer:
Quiz Part 2
What are the two tags that nest directly within the  tags?
Answer:  and
Quiz Part 3
What is it called when you have a 'tag' + 'content' + 'closing tag'?
Answer: An HTML Element
Anatomy of a website
Your Content
+ HTML : Structure
+ CSS : Presentation
= Your Website
A website is a way to present your content to the world, using HTML and CSS to present that content & make it look good.
CSS: What is it?
CSS = C ascading S tyle S heets
CSS is a "style sheet language" that lets you style the elements on your page.
CSS is works in conjunction with HTML, but is not HTML itself.
And now we arrive at CSS. CSS gives us style!
CSS: What can it do?
All color, text, position, and size
So what can CSS do? A lot actually! CSS controls color, text, position (where and how things appear) and size. CSS can also do some pretty amazing things with animation, but that's a topic for another class. Let's just CSS is pretty darn powerful.
CSS: What does it look like?
The CSS Rule
The CSS Rule
selector {
property: value;
}
A block of CSS code is a rule.
The rule starts with a selector.
It has sets of properties and values.
A property-value pair is a declaration.
Connecting CSS to HTML
3 ways
"Inline"
"Embedded"
"External"
Connecting CSS to HTML: Inline

Some text.

Uses the HTML attribute style.
Difficult to use in large projects
Not preferred.
Inlineing your CSS works by adding the HTML attribute "style" and then assigning it a property and value, in this intance, we're saying that we want the text to have the color red. This gets really unweidly, and it can be hard to keep track of all of these rules on a larger project. This method isn't preferred.
Connecting CSS to HTML: Embedded

Inside  element.
Uses


PROFILES 2011: Golden Years
Laurel Little Theatre Celebrates 50 Years Of Entertaining Community
By David Owens at the Laurel Leader-Call March 12, 2011
It was August 1961 when four Laurel residents met in a bowling alley located next to the
Laurel Leader-Call to form what would become the Laurel Little Theatre.
The group, which included Marda Kaiser Burton, Mary Anne Sumrall, Ernest Graves and Gene
Gandrau, wanted to give those who enjoyed the theatre or wanted to display their talents
a local showcase.
Wess Hughes, the LLT historian, said the theatre group was organized in the old Pinehurst
Hotel Coffee Shop, which was located inside of the historic hotel.
“The first couple years, we were just in the high schools,” Hughes said. “We could only get
in the schools a day or two before the show, so sets and productions had to be fairly simple.
We couldn't do musicals, just smaller comedies and dramas, and could only run a performance or two.”
Hughes said that original group featured well-known Laurel residents including Jim Gibbon,
Annie Ruth Grim, Page Jones Harris, Billy Howard Jr., Billy Lightsey, Ruth Tomlinson, Dot
Traweek and Granville Walters.
“Their goal was to present Laurel citizens with entertainment and to give would-be
thespians a chance to get up on a stage and ham it up for their friends and family,”
Hughes said. “Now, five decades later, that’s still our main goal at the theatre.
Little did those founders know in 1961 that one day that very group they organized
would be performing in the old Arabian movie house just right next door to the Pinehurst
Coffee Shop where they were meeting to form the group.”
Hughes said the group began performing in the early ‘60s at the Wisner Building, Mason
Elementary School or Watkins High School. In 1967, Laurel Little Theatre leased space
at the old Downtown Armory Building, and was even featured at the Lauren Rogers Museum
of Art during those years in a “Sunday at the Museum” series.
Downtown Urban Renewal forced LLT out of the Armory in 1976. After searching for a new home,
the group landed at the Arabian Theatre, which had just recently gone out of business. When
LLT moved in to the Arabian, the original 1927 paint colors and Arabic, Persian and Egyptian
features were restored. Thanks to the contributions of local businesses and individual
patrons, the building was renovated and debt-free in three years.
Hughes said it was only after LLT moved into the Arabian Theatre that they could do more
elaborate shows.
“But, we’re still constricted,” he said. “The theatre was built as a movie house so there’s
no wing space or fly system. We still have to compromise on everything we do.”
Hughes said the Arabian Theatre, which was built by Sank Taylor, was one of seven or eight
downtown movie theatres in Laurel at one time.
“The movies were your only entertainment,” he said. “People went two to three times a
week because they also showed news reels.”
Hughes said he recently located Taylor’s daughter Evelyn, who danced on Broadway and was
a featured performer in the movie
Oklahoma!
“She married co-actor Rufus Smith, who we got to direct a show at LLT in the ‘60s,” he said.
“Rufus was on Broadway with Ethel Merman in Annie Get Your Gun.”
Hughes said LLT hopes to host another fundraising drive in a few years to add on to
the building.
“We want to build on the south side what will be called the Pinehurst addition, because
it will be exactly where the old Pinehurst Hotel was,” he said. “We want to grow our wing
space and stage and add on a meeting room, hospitality room, new bathrooms and refreshment area.”
Hughes said LLT’s 50th season has been “one of our best seasons ever.”
“We kicked it off with BEEHIVE! The 60’s Musical, and had to hold it
over for a whole extra week,” he said. “Our second show,
To Kill A Mockingbird, was also sold out for its initial run
and we had to add on another weekend.”
Hughes said the theatre group’s most recent product, Daddy’s Dyin’... Who’s
Got the Will?, was also very successful.
The season will conclude with Hairspray on May 12-15. Set in
1962 Baltimore, Md., the musical — directed by Lacy Cockrell — tells the story of
“pleasantly plump” teen Tracy Turnblad, whose dream is to dance on a local TV dance
program. When she makes the show, Turnblad becomes an overnight celebrity, and uses
her fame to improve the situation for outcasts at her school.
“Membership is up this year, and we’ve had record levels with our attendance,” he said.
“There’s been a lot of interest in the theatre since we did renovations two years ago.
We did a lot of interior work on the Arabian and got it gussied up a little bit.”
Hughes said LLT also recently added a a Headrick’s sign to the building, which is the
first time the building has actually carried the Laurel Little Theatre name.
“When the hotel was torn down, the common wall that was between the hotel and theatre was just
a blank space,” he said. “There were no architectural details or elements of art to it, and
it had been like that since the hotel was demolished in 1988.
“We always wanted to work on that look,” Hughes added. “We wanted to have the look of what
an exterior of a theatre would have looked like if it was a freestanding theatre built in 1927.”
Hughes said LLT also added several new display cases and re-electrified the neon sign for the Arabian Theatre.
The Arabian Theatre, which was built in 1927, carries many of the same design elements of the Saenger
Theatre buildings in Hattiesburg, New Orleans and elsewhere.
He noted that many of the grand theatres of the 1920s were designed with Arabic, Egyptian
and Persian influences because King Tut’s tomb had been discovered in 1922 and remained in
the nation’s headlines for years.
“The whole world was fascinated by Egyptology and the Arabian Peninsula,” Hughes said.
The Chicago Theatre and Atlanta's Fox Theatre among many others feature these elements.
Over the years, a number of LLT performers have gone on to hit it big, including Tom Lester
of Green Acres fame; Patrick Weathers, a former
Saturday Night Live cast member; Parker Posey, who has starred in
such films as You’ve Got Mail, Superman Returns
and Waiting for Guffman; and Mary Elizabeth Ellis, currently starring
on NBC’s Perfect Couples.
“We’re proud of the progeny we’ve had over the years,” Hughes said. “Mike Howard used to direct a
lot for us, and is now the head of the theatre department at Tulane. I moved on, and have done
shows from New Orleans to California.”
Among the performances in the early years were Born Yesterday,
Dial M for Murder, The Curious Savage and
The Man Who Came to Dinner and The Philadelphia Story.
Well known Broadway hits such as Showboat and Oliver,
as well as classic Tennessee Williams productions and The Wizard of Oz
and The Sound of Music have also been featured.
“Our productions are pretty slick,” Hughes said. “It always amazes me the talent we have in
Jones County. It’s pleasant to go back and work there. We’ve always had great support from
our patrons, audience, actors and singers.”
For more information on the Laurel Little Theatre, visit www.laurellittletheatre.com.
"LLT’s production of “A Tuna Christmas” opens Dec. 8th"
Actors Nowicki, Hughes portray 22 different characters
By Linda Cranford,
LLT Board of Directors Publicity Chair
CNHI December 2011
LAUREL — Laurel Little Theatre’s next production of “A Tuna Christmas” will open Thursday, Dec. 8
and run through Sunday, Dec. 11, with show time at 7:30 p.m. Thursday through Saturday and at
2 p.m. for the Sunday matinee.
LLT veteran actors Dr. Stephen Nowicki and Wess Hughes make the quickest costume changes you’ll
ever see as they portray 22 different hilarious red-neck characters from the little town of
Tuna, Texas.
Hughes has over 300 productions to his credit and has directed or acted in LLT shows in each of
the last five decades. Hughes got his start with LLT when he lived in Laurel in the 1970s and
80s while attending JCJC and USM. Locally, he's done many shows for both LLT and Hattiesburg's
Civic Light Opera and has served on the Board of Directors for both organizations, as well as
the State Theatre Association. In the 1990s, he lived in New Orleans, co-producing and acting for
All Kinds of Theatre, a company that has won many of New Orleans' Best Play Awards, and he was
nominated for Best Actor there on several occasions. He's now making his very first theatrical
effort in New York City as a co-producer of the revival of the hit musical “Godspell” written by
“Wicked's” Stephen Schwartz, which opened on Broadway a couple weeks ago to good reviews and the
potential for a long run. Now living in San Francisco, he returns to Laurel about once a year
to do a show around the area and to visit his folks, Wesley and Martha Hughes. Hughes organizes
group trips to New York City every year at Thanksgiving and New Years, and then to both NYC and
London for Spring Breaks.
Dr. Steven Nowicki was born in New York City and grew up in a small town 40 miles outside of
New York City in Bellmore, New York. Nowicki fell in love with literature and drama during high
school and received a theatre scholarship to Adelphi University where he studied theatre, literature,
film and biology. Upon graduation from Adelphi University he was accepted into the Drama School of
Yale University to study acting and graduated with an MFA in 1976.
“The next few years I knocked around the theatre world in New York City and the regional
theatres,” explained Nowicki, “and I fell in love with my wife Catherine. The next best thing to
falling in love with Catherine was playing Wile E. Coyote before thousands of screaming children
at Madison Square Garden in New York City. There is magic in a child’s laugh.”
He and Catherine eventually married, had two children and Nowicki went on to medical school, orthopedic
surgery training and the U.S. Navy. “Currently I am starring in an ongoing role as an orthopedic surgeon
at the Laurel Bone and Joint Clinic,” exclaimed Nowicki.
“A Tuna Christmas” will be Nowicki’s first major role in 35 years, having played several minor roles
on stage at both LLT and Hattiesburg’s Civic Light Opera.
Director Catherine Nowicki is best known to local theatre audiences as Louise from the musical “Always,
Patsy Cline” which she co-starred in with Missy Sanderson as Patsy and the two have performed the
musical together since 2001. She and Steven have performed in and co-directed several productions
in Laurel and Hattiesburg and have been accompanied on stage by their two children. “For me, LLT has
not only meant a love of theatre and community, but love of family doing theatre together as well,”
exclaimed Nowicki.
This past year Nowicki appeared as Miss Hannigan in “Annie” and Mrs. Tottendale in “The Drowsy
Chaperone” for HCLO in Hattiesburg, both with husband Steven. She has taught acting at JCJC as
well as other colleges and has a BFA in theatre from Boston Conservatory. She has been a professional
actress since 1971, acting from Maine to Florida and Washington, D.C. to Japan, including Off-Broadway
and other theatres in NYC. She also has an image consulting business where she helps women and men
learn their best colors and styles.
“A Tuna Christmas” is dedicated to the people of Laurel and the two talented men I’m directing… my
husband Steven and Wess Hughes,” noted Nowicki.
Tickets for this show only, as well as LLT season tickets, will be available, but reservations are
required. Be advised that “A Tuna Christmas” does contain some real authentic Texan-style cussin' in it.
Our own Wess Hughes makes a television appearance talking about Red White & Tuna
April 21, 2015
Arabian Theatre's 90th Birthday was celebrated with a 1920's costume party on April 8th, 2017.
Co-chairmen of the event, Robin Robinson and Sam Britton, appeared on MIDDAY.
April 8, 2017
LLT President Rick Youngblood was a Channel 7 MIDDAY guest this week, just before our season opener of JOSEPH.
August 1, 2017
In Memoriam - Becky Thomas
1960 - 2020
In Memoriam - Tom Lester
1938 - 2020
A RARE FIND FROM THE 1930s


Request
class Request implements Request (View source)
HTTP Request class.
Traits
Properties
| static protected array | $extensions | from Extendable | |
| protected string | $method | ||
| protected Engine | $engine | ||
| protected string | $userAgent | ||
| protected string | $url | ||
| protected array | $headers | ||
| protected Payload | $payload | ||
| protected string|null | $proxy | ||
| protected bool | $secureSsl | ||
| protected float | $timeout | ||
| protected array | $cryptoMethod | ||
| protected array | $responseCalls | ||
| protected array | $mockedEndpoints |
Methods
Add a method to the class.
Execute a static call with the correct class scope.
Execute a static call with the correct class scope.
Magic Method for dynamic method names.
Magic Method for dynamic names of static methods.
Set the raw payload of the request and send/execute the request.
Set an XML payload and send/execute the request.
Set a URL-encoded payload and send/execute the request.
Add an array of headers.
Add a basic authorization (which is actually an authenticaation) header.
Execute the $response->$methodName(.
Set the raw payload of the request.
Set a JSON payload.
Expect json response type and throw an exception if json is not returned.
Expect json response type and throw an exception if json is not returned.
Add a multipart entry.
Add a file to the multipart payload.
Add a data field to the multipart payload.
Set the raw payload of the request.
Format headers.
Constructor.
Return the request as a string.
Setter.
Return the request as a string.
Add Accept header with many types.
Get the calls that are to be executed on the response as soon as we have one.
Mock an end point.
Details
in Extendable at line 26
static
hasExtension($methodName)
in Extendable at line 40
static $this
extend(string $methodName, callable $callable)
Add a method to the class.
in Extendable at line 52
static $this
mixin(object $object)
Mix in all the public methods of an object.
in Extendable at line 73
mixed
execDynamicCallable(callable $callable, array $args)
Execute a static call with the correct class scope.
in Extendable at line 90
static mixed
execStaticCallable(callable $callable, array $args)
Execute a static call with the correct class scope.
at line 289
mixed
__call(string $methodName, array $args)
Magic Method for dynamic method names.
in Extendable at line 128
static mixed
__callStatic(string $methodName, array $args)
Magic Method for dynamic names of static methods.
in SendsRequest at line 25
Response
send()
Send/execute the request.
in SendsRequest at line 46
Response
sendRaw(string $payload, string $contentType = 'application/octet-stream')
Set the raw payload of the request and send/execute the request.
in SendsRequest at line 58
Response
sendJson($json)
Set a JSON payload and send/execute the request.
in SendsRequest at line 70
Response
sendXml(SimpleXmlElement|string $xml)
Set an XML payload and send/execute the request.
in SendsRequest at line 82
Response
sendFormData(array $data)
Set a URL-encoded payload and send/execute the request.
at line 104
protected Request
with(string $property, mixed $value)
Clone object with a new property value.
in HasWithMethods at line 42
Request
withTimeout(float $seconds)
Set the timeout.
in HasWithMethods at line 54
Request
withUserAgent(string $userAgent)
Set the user agent header.
in HasWithMethods at line 68
Request
withCryptoMethod(string $cryptoMethod)
Set the allowed crypto method.
A Crypto method can be one of the CRYPTO_* constants
in HasWithMethods at line 86
Request
withInsecureSsl()
Disable all SSL certificate checks.
in HasWithMethods at line 98
Request
withEngine(Engine $engine)
Set the transfer engine.
in HasWithMethods at line 110
Request
withHeaders(array $headers)
Set all headers.
in HasWithMethods at line 122
Request
withAdditionalHeaders(array $additionalHeaders)
Add an array of headers.
in HasWithMethods at line 145
Request
withProxy(string $proxy)
Set the proxy server.
in HasWithMethods at line 158
Request
withHeader(string $name, string $value)
Add a header to the request.
in HasWithMethods at line 170
Request
withTls(string $version)
Set the TLS version.
in HasWithMethods at line 197
Request
withBasicAuth(string $username, string $password)
Add a basic authorization (which is actually an authenticaation) header.
in HasWithMethods at line 212
Request
withPayload(Payload $payload)
Set the payload of the request.
in HasWithMethods at line 225
Request
withResponseCall(string $methodName, array $args = [])
Execute the $response->$methodName(.
..$args) as soon as we have a response.
in HasWithMethods at line 249
Request
withRawPayload(string $payload, string $contentType = 'application/octet-stream')
Set the raw payload of the request.
in HasWithMethods at line 267
Request
withJsonPayload(array|object $payload, string $contentType = 'application/json')
Set a JSON payload.
NOTE that the neither unicode characters nor slashes are escaped. This behaviors is compatible with the json standard as well as most browsers' * JSON.stringify() and JSON.parse(). However, it is not default output of json_encode.
in HasWithMethods at line 279
Request
withXmlPayload(SimpleXmlElement|string $xml)
Set an XML payload.
in HasWithMethods at line 295
Request
withFormDataPayload(array $form)
Set a URL-encoded payload.
in HasRequestAccessors at line 23
string
method()
The http method.
in HasRequestAccessors at line 33
Engine
engine()
The request engine.
in HasRequestAccessors at line 43
array
events()
All registered event hooks.
in HasRequestAccessors at line 53
string
userAgent()
The user agent string.
in HasRequestAccessors at line 63
string
url()
The target url.
in HasRequestAccessors at line 71
array
headers()
in HasRequestAccessors at line 83
string|null
header(string $headerName)
Get the contents of a given header.
in HasRequestAccessors at line 96
Payload
payload()
The request payload.
in HasRequestAccessors at line 106
string|null
proxy()
The proxy to use.
in HasRequestAccessors at line 116
bool
secureSsl()
Are we doing strict SSL checking?
in HasRequestAccessors at line 126
float
timeout()
Timeout in seconds.
in HasRequestAccessors at line 136
array
cryptoMethod()
Cryptographic transport method.
in HasRequestAccessors at line 146
string
body()
The request body.
in HasRequestAccessors at line 156
string|null
contentType()
Get the contents of the Content-Type header.
in CreatesRequests at line 26
static Request
delete(string $url)
Factory.
Initialize a DELETE request
in CreatesRequests at line 40
static Request
get(string $url)
Factory.
Initialize a GET request
in CreatesRequests at line 54
static Request
head(string $url)
Factory.
Initialize a HEAD request
in CreatesRequests at line 68
static Request
options(string $url)
Factory.
Initialize a OPTIONS request
in CreatesRequests at line 82
static Request
patch(string $url)
Factory.
Initialize a PATCH request
in CreatesRequests at line 96
static Request
post(string $url)
Factory.
Initialize a POST request
in CreatesRequests at line 110
static Request
put(string $url)
Factory.
Initialize a PUT request
in HasCompleteDebugInfo at line 25
array
instanceVariables()
Public accessor for all instance variables.
in HasCompleteDebugInfo at line 35
array
__debugInfo()
Return debug info for var_dump, et al.
Request
expectsJson()
Accept application/json.
expectsXml()
Accept application/xml.
Request
expectsAny()
- Accept * / *.
Request
ensureJson()
Expect json response type and throw an exception if json is not returned.
Request
ensureXml()
Expect json response type and throw an exception if json is not returned.
Request
addMultipartField(string $name, string $data, string $filename = null, string $contentType = null)
Add a multipart entry.
Request
addFile(string $name, string $file, string $filename = null, string $contentType = null)
Add a file to the multipart payload.
Request
addBlob(string $name, string $data, string|null $contentType = null)
Add a data field to the multipart payload.
Request
sendsRaw(string $payload, string $contentType = 'application/octet-stream')
deprecated
deprecated
Set the raw payload of the request.
Request
sendsJson(array|object $payload)
deprecated
deprecated
Set a JSON payload.
Request
sendsXml(SimpleXmlElement|string $xml)
deprecated
deprecated
Set a XML payload.
Request
sends(array $data)
deprecated
deprecated
Set a URL-encoded payload.
at line 122
string[]
preparedHeaders()
Format headers.
Only one hosts header, which must be the first header Only one User Agent header. All other headers are copied verbatim.
at line 158
__construct(string $method, string $url)
Constructor.
at line 169
string
__toString()
Return the request as a string.
at line 182
__set(string $name, mixed $value)
Setter.
at line 195
string
render()
Return the request as a string.
at line 254
array
responseCalls()
Get the calls that are to be executed on the response as soon as we have one.


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PedalPay is an amazing alternative to traditional means of public transport.
We care a lot about the obesity rates in the UK and believe most forms of exercise are just too expensive. So we created this cheap alternative to buying a bike or joining a gym that can do everything a static bike does while getting you out into the fresh air.
Edinburgh is a beautiful city, and don't just take my word for it, grab a bike
and get sight seeing! It has an excellent infrastucture of bike lanes, scenic
bike routes and the need to travel further than just walking distance.
That said, we are hoping to expand to more cities soon, so if you believe your
city could benefit from PedalPay, make sure to contact us
with reasons on why we should expand to your city next.
Bikes are not only quicker, but also burns more calories than walking over the same distance. It's also a lot funner to feel the fresh air on a Scottish morning on your face while cycling than it is walking.
Yes! Here at PedalPay we believe cycling should be available to as many users as possible. We offer state of the art handbikes which allow riders to pedal with their hands (sounds fun eh?). Just make sure to select handbike when making your booking.
No worries at all, we understand that bikes can break down a lot. Just get in touch with us by one of our many ways of contact and we'll make sure to get you to safety.
Of course you can! Once you log in, you can go to your bookings profile and from there you can view, edit or cancel any of your bookings!
At PedalPay we're excited to introduce new cyclists to the world of bikes. First thing to do, is ensure you know the UK bike laws. Once you're all sorted on the legal front, you may want to consider starting out with some safe cycle routes to get into the swing of it. Anything else you need, dont hesitate to contact us.


Fontina Fontina can be buttery and a bit fruity; Fontina Val d'Aosta, from Italy's Aosta Valley, is firmer, more pungent, and nuttier (and always made of raw milk). Whichever you choose, this cheese is a superlative melter. Just remember
to remove the rind. Other mildly tangy melters like Danish Havarti and Dutch Gouda make fine substitutes.
The production of Gouda includes a step called washing the curd, which is when warm water replaces whey in the cheese vat. Consequently, Gouda has lower acidity than many other cheeses and, as a result, a "sweeter" flavor profile
and a supple, chewy texture. Younger Gouda melts brilliantly (aged Gouda is usually labeled as such, while younger varieties often have a red wax coating).
Several cheeses in the spirit of the famed French reblochon -- known for its buttery heft and fruity pungency -- are available stateside. One of our favorites is the French Preferes des Montagnes; it works beautifully in the hearty and traditional dish known as tartiflette. Italian Robiola Bosina, with its puddinglike texture, is another good substitute. And a readily available Brie would be excellent in this dish too especially if you prefer a milder result.
Provolone is made using a technique called pasta filata, or "pulled curd," and the cheese softens into a satisfyingly ropy chew. You can use sliced provolone, available at any supermarket deli, or, for a more intense flavor, look for dense and spicy aged provolone from the likes of Auricchio or Wisconsin's BelGioioso. Medium and sharp varieties are best for meltability.
This cheese gained fame as a pizza topping. For the best flavor, look for balls of fresh mozzarella (as opposed to the low-moisture kind that comes in blocks, meant for grating), ideally packed in water, though plastic-wrapped is fine. Reliably
great and accessible brands include BelGioioso and Maplebrook Farm; many stores carry locally made options.


16 February 2007
The Egyptian Ministry of Health and Population has confirmed the country's 13th death from H5N1 avian influenza. The 37-year-old female whose infection was announced on 15 February, died today.
Of the 21 cases confirmed to date in Egypt, 13 have been fatal.


Have my system up running now, and all seems to work seamlessly :-)
I am now working on the GLCD. Got to the step 20 in the guide, but the video tutorials seems to be missing. Anyone know where I can find them?
http://openenergymonitor.org/emon/modules/emonglcd/buildguide13
Re: GLCD - missing guide videos
I suspect they got lost when the OEM site was transferred to the new server a few days ago.
What you need to do is make sure the backlight is facing the right way, i.e. the light will come out through the LCD display (OK, it sounds silly but it's best to make sure), then bend the leads back over the 'dark' side. The tricky part is bending the leads at a right angle to go through the holes in the PCB, where you bend is critical so that the light is in the right place. The end of the backlight furthest from the LED should lie exactly over the centre of the two big pads belonging to the USB socket, those nearest the edge of the board.
Don't solder it yet! Wait until the LCD is in place.
 Insert the 20-pin edge connector of the LCD into the holes, and tip the display so that the leads jam in the holes and make contact. Forget the 2 groups of 3 leads on the other edge, they are there to mechanically support that edge.
Holding the LCD in position, apply power. The display should work. If you lose a connection, it's likely it will lock up and need to be powered down and back up again. Once you know it's working, you can continue.
N.B. Do make sure, as far as you can tell, that everything else is correct and working before you fit the backlight and LCD. It is all but impossible to correct anything once these are soldered in place.
I put the short spacers on the display side of the PCB, saving the long ones for the back, which allows the back to be fitted if you have a straight header for the programmer.  Check the position and the position of the backlight, then finish soldering the LCD. Push the backlight up against the display and solder it.
Re: GLCD - missing guide videos
Sorry, video has now been re-added to the build guide. Hers's direct link https://www.youtube.com/watch?v=YMlDqEKnQYQ
Re: GLCD - missing guide videos
Great! Thanks :-)
Re: GLCD - missing guide videos
I am struggling with the LCD display and whilst climbing the steep part of the learning curve, I hope someone can and will help me with a clue on where to look.
I have successfully run the tester sketch on the GLCD and also tested the backlight OK. Tried the LCD without soldering and got readable text which blurred after some time. I put the blur w. black stripes down to bad pin connections, but when I soldered in the many-pin side of the LCD the problem persist. After some time it goes off completely and requires a restart to show signs of life. I noticed that the LED's flicker and I am pretty sure they did not do that before I put the LCD in.
I am able to pull back the non soldered side of LCD (..and I realize this will not help aligning it when I get it to work..) After doing that, I have checked for soldering and build errors, but I have not been able to find any issues.
I have also uploaded a different sketch, but same issue with the display.
Re: GLCD - missing guide videos
Check the orientation of the electrolytic capacitors. These are part of the voltage multiplier and if you have one the wrong way round, that can cause similar problems.
Re: GLCD - missing guide videos
Thanks Robert, good call :-) I had made a less than optimal soldering job of one of the connections to one of the electrolytic capacitors, so LCD seems to work OK now.
Unfortunately the thing is not stable; When I start from "cold", i.e. after a few hours, everything will be working fine for some minutes. I almost put it together, but eventually it did start to corrupt with flickering diodes as a first sign ending in a complete blackout of the LCD. Nothing odd to see in the serial monitor though, but communication is lost when I get the blackout.
I have checked all and reworked some of the solders and I have rechecked the components. Voltage is still good, i.e. 3.3 volt
Any ideas? Hope that I will not have to use an old phone and a dashboard from emoncms.org in stead ;-)
Re: GLCD - missing guide videos
How long have you had your GLCD, i.e. which version is the PCB? Because on V1.3 & 1.4 there's a mistake on the PCB - I presume you saw the note in the guide and checked?
Are you still running the tester sketch?
That it is OK from cold and then dies points to either another electrolytic capacitor problem, or to an overheating problem.
Flickering LEDs. Those are driven by an I/O pin of the processor so those flickering possibly points to another soldering problem - have all the IC pins gone into their respective sockets?
Have you got a whisker of solder shorting somewhere? Look carefully on as much as possible of both sides of the board.
Is anything getting warm?


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