The MapReduce API allows to write the components of a MapReduce application.
The basic MapReduce components (Mapper, Reducer, RecordReader, etc.) are provided as abstract classes that must be subclassed by the developer, providing implementations for all methods called by the framework.
Context objects are used for communication between the framework and the Mapreduce application. These objects are instantiated by the framework and passed to user methods as parameters:
class Mapper(api.Mapper):
def map(self, context):
key, value = context.key, context.value
...
context.emit(new_key, new_value)
Emit a key, value pair to the framework.
Get a Counter from the framework.
| Parameters: |
|---|
The counter can be updated via increment_counter().
Input key.
Set the current status.
| Parameters: | status (str) – a description of the current status |
|---|
Input value.
An interface to the Hadoop counters infrastructure.
Counter objects are instantiated and directly manipulated by the framework; users get and update them via the Context interface.
Creates MapReduce application components.
The classes to use for each component must be specified as arguments to the constructor.
Create a combiner object.
Return the new combiner or None, if one is not needed.
Create a partitioner object.
Return the new partitioner or None, if the default partitioner should be used.
Configuration properties assigned to this job.
 For backwards compatibility, however, there are two important exceptions:
Same as dict.get(), but the value is converted to a bool.
The boolean value is considered, respectively, True or False if the string is equal, ignoring case, to 'true' or 'false'.
Same as dict.get(), but the value is converted to an float.
Same as dict.get(), but the value is converted to an int.
The context given to the mapper.
Get the raw input split as a byte string (backward compatibility).
Return the type of the input key.
Return the type of the input key.
Get the current input split as an InputSplit object.
Maps input key/value pairs to a set of intermediate key/value pairs.
Called once for each key/value pair in the input split. Applications must override this, emitting an output key/value pair through the context.
| Parameters: | context (MapContext) – the context object passed by the framework, used to get the input key/value pair and emit the output key/value pair. |
|---|
Controls the partitioning of intermediate keys output by the Mapper. The key (or a subset of it) is used to derive the partition, typically by a hash function. The total number of partitions is the same as the number of reduce tasks for the job. Hence this controls which of the m reduce tasks the intermediate key (and hence the record) is sent to for reduction.
Get the partition number for key given the total number of partitions, i.e., the number of reduce tasks for the job. Applications must override this.
| Parameters: | |
|---|---|
| Return type: | int |
| Returns: | the partition number for key. |
Breaks the data into key/value pairs for input to the Mapper.
The current progress of the record reader through its data.
| Return type: | float |
|---|---|
| Returns: | the fraction of data read up to now, as a float between 0 and 1. |
Called by the framework to provide a key/value pair to the Mapper. Applications must override this, making sure it raises StopIteration when there are no more records to process.
| Return type: | tuple |
|---|---|
| Returns: | a tuple of two elements. They are, respectively, the key and the value (as strings) |
Writes the output key/value pairs to an output file.
The context given to the reducer.
Reduces a set of intermediate values which share a key to a (possibly) smaller set of values.
Called once for each key. Applications must override this, emitting an output key/value pair through the context.
| Parameters: | context (ReduceContext) – the context object passed by the framework, used to get the input key and corresponding set of values and emit the output key/value pair. |
|---|
Represents the data to be processed by an individual Mapper.
Typically, it presents a byte-oriented view on the input and it is the responsibility of the RecordReader to convert this to a record-oriented view.
The InputSplit is a logical representation of the actual dataset chunk, expressed through the filename, offset and length attributes.
InputSplit objects are instantiated by the framework and accessed via MapContext.input_split.


AEM React
Hello World Component
Text property:
lalala :)
Model message:
Hello World! Resource type is: aemreact/components/helloworld Current page is: /content/aemreact/us/en This is instance: 5daa71ad-4e22-4667-879b-9e381e1d95d0
Not Initialized


the and {background for margin {border-style food The from px;} #ffffff;} al. are resilience that COVID- with how Nutrition can has impacts px; {font-family font-size not obesity systems Food double; need nutrition they this transformation two was which will (). This border-color border-width climate different drivers epidemic example, may more responses risk solid; such viral who {font-style {font-weight AIDS COVID-, Commons Creative Fig. IFPRI International ability also article back being bold capacity concepts courier; em; face first global health important it’s pandemic pt;} resistance see system these used way years


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Italian sausages are usually seasoned with fennel and really add something special to this simple recipe.
Cook the pasta in salted boiling water until al dente.
In a frying pan, heat the olive oil and shallow fry the onion and sausage until golden.
Add the mushrooms, chilli and the pine kernels, season with salt and pepper and cook for approximately three minutes.
Drain the pasta, add to the sauce and mix well.
Serve immediately with some freshly grated pecorino on top.


You acquire your shares for $93.50 each. This is always taxed as ordinary income. It’s included on your W-2 and you pay tax on it like non-ESPP income.
| STCG | LTCG; disqualifying disposition | Qualifying disposition | |
|---|---|---|---|
| You sell within 1 year of receiving the shares | You sell between 1 year and 21 months after receiving the shares n/a - you cannot do this under your plan | You sell more than 21 months after receiving the shares | |
| Additional ordinary income (taxed the year of the sale) | $16.50 | $16.50 | $15.00 |
| Total ordinary income | $110.00 | $110.00 | $108.50 |
| Capital gain/loss | $0.00 (short-term) | $0.00 (long-term) | $1.50 (long-term) |
| Offering period (3 months) | Disqualifying disposition; short-term capital gain (1 year) | Disqualifying disposition; long-term capital gain (9 months) | Qualifying disposition (∞) |


{% extends 'base.html' %} {% block content %}
Jackson School District has the best schools. Please welcome our latest addition to the Jackson District: Derek Zoolander's School for Ants.


A functional Calendar App to track Ski days in the Beautiful Reno/Tahoe area built using React JS.
This Multiplication Game is designed using Typescript and has several fun features including different stages.
This is a basic proof of concept using the ReactJS Framework to create a little bulletin board.


This is an important condition for the public key of the RSA method.
It is said that e is relatively prime to phi(N) when e and phi(N) are co-prime, i.e. they do not possess any common divisor (apart from the number one). This condition is a requirement that the number e possesses a multiplicative inverse d modulus phi(N).
Let a and m be natural numbers and gcd(a,m) the greatest common divisor of a and m. The following is then true:
For all a and m there exist whole numbers x,y so that gcd(a,m) = x*a + y*m.
The extended Euclidean algorithm calculates these numbers x and y. When gcd(e,phi(N)) = 1 then it follows that
x*e + phi(N)*y = 1,
and when the equation modulus phi(N) is calculated
x*e = 1 - phi(N)*y = 1 (mod phi(N)).
The number x is thus the multiplicatively inverse number modulus phi(N). During the RSA key generation procedure, the extended Euclidean algorithm calculates the secret exponent d = x for RSA decryption.
Euler´s totient function phi(N) of a positive integer N is defined to be the number of positive integers less than or equal to n and coprime to n.
Example: phi(8) = 4, since the four numbers 1, 3, 5, 7 are coprime to 8.
Further details: see CT Book.


What if we fail to stop the erosion of cities by automobiles?... In that case, we Americans will hardly need to ponder a mystery that has troubled men for millennia: What is the purpose of life? For us, the answer will be clear, established and for all practical purposes indisputable: The purpose of life is to produce and consume automobiles.Jane Jacobs, writer and activist, 1916 - 2006
One of the most significant barriers to TDM success is the trip-level cost disparity between personal auto and public transport modes. Most of the costs associated with driving come in the form of "sunk" costs, such as purchasing, insuring, and maintaining a car. Even fuel costs are a form of "sunk" cost, as most vehicles can complete several trips between refueling stops. This creates the perception that most individual SOV trips can be completed for free, especially where roadway and parking charges are uncommon.
This puts public transport at a significant competitive disadvantage, as nearly all systems require riders to pick up a substantial portion of their capital and operating costs in the form of trip-based fares. By incentivizing SOV use, these pricing cues have propelled the current global epidemic of gridlock, especially as private vehicle ownership rates rise within developing countries. As such, TDM strategies that reverse these cues tend to be the most effective in changing travel and mode-choice patterns. The most common among these are roadway pricing, parking fees, and public transport subsidies.
Many economists agree that traffic congestion is the result of a failure to properly charge for the value of road access and see congestion-based roadway pricing as the optimal solution. Compared to traditional road pricing, which assesses a fixed toll on each driver at all times, congestion-based pricing focuses on peak travel periods. At all other times, fees are reduced or dropped altogether.
Congestion pricing places a monetary value on consuming roadway capacity during peak travel times. Motorists who wish to enter a congestion zone must pay a fee to gain legal access to the use of the road. By charging for the use of the road resource, only those who value road access more than the congestion charge will travel during the peak times.
When well executed, congestion charging can reduce traffic congestion and pollution and raise considerable revenue to expand mobility choices. London, Singapore, Stockholm, and Tehran have implemented pricing schemes in conjunction with new public transport investments. The results have shown a marked reduction in congestion as well as the generation of revenues for supporting sustainable transport options.
Figure 32.1. London’s Congestion Charge Zone has improved traffic congestion by dissuading driving into the city center during peak periods while also generating revenue for better bus service.Photo courtesy of ITDP.
Figure 32.2. Singapore’s Electronic Road Pricing (ERP) system has been effective in curbing vehicle use, especially during peak periods. Photo by Manfred Breithaupt.
Since all vehicle trips begin and end with parking, assessing parking fees may present a TDM alternative to roadway pricing that is simpler to implement but just as effective in attaching a cost to peak-hour SOV travel. Free or underpriced parking is one of the most significant factors in peak-hour mode choice, with a strong correlation between those who drive and those with a convenient, subsidized parking space waiting for them at the end of their trip. The fact that governments lack control over these subsidies may be one reason that cities try roadway pricing before comprehensive parking reform to combat congestion. The causes and conditions of parking subsidies, however, should be examined as part of any serious TDM effort.
Cities often deeply discount the parking that they control. While this is usually limited to on-street parking, many have gone as far as to build extremely expensive off-street parking that, upon completion, is offered up for free or at prices far too low to recoup its costs. Typically, this is done out of a sense that, without affordable parking options, city-center businesses will lose customers, employees, and tenants to more accommodating locations. For decades, this has led to hundreds of city centers sacrificing some of their best real estate for parking and, in doing so, eroding the very qualities people have historically sought in city centers.
On-street parking should always be priced based on demand, primarily to keep an optimal level of availability for arriving vehicles. This improves access to local businesses and reduces congestion created by long searches for underpriced parking. Furthermore, if most spaces are full, it is a clear indication that their cost is not an impediment to attracting customers. To avoid the political risks of supporting higher parking rates, many cities have shifted price-setting authority to planning departments or to third-party "franchisees."
While on-street parking emerged as an adaptive use of roadway curbs, off-street parking requires dedicated, and typically very costly, infrastructure. Paying off the cost of this infrastructure on parking fees alone is a challenge without a robust economy and pent-up parking demand. This is why, in most cities where off-street parking is privately built, these spaces cost several times more per hour than on-street parking.
Complaints about the cost of these garages have led many cities to subsidize off-street parking construction with the intention of providing free or cheap parking. This can compound TDM setbacks created by underpriced on-street parking by reassuring travelers that, even if they can't find a spot on the street, there will be a low-cost option nearby. When these facilities begin to attract more demand than they can accommodate, many cities are tempted to construct new facilities, rather than raising rates in the original facilities. Setting off-street parking rates based on demand, and forestalling any future expansions until rates are sufficient to pay for them, is a necessary first step in reversing this well-intended parking approach that has, nonetheless, proven disastrous to public transport ridership and service quality in so many cities.
Private developers have no interest in constructing unprofitable parking. As such, they are rarely the cause of either underpriced or over-supplied parking, especially where land values and/or construction costs are especially high. Rather, the biggest generator of such conditions, in most places, are regulatory controls that mandate excessive levels of off-street parking in conjunction with new land-use development.
The primary logic behind these mandates is that if developers are required to provide excessive amounts of parking for their projects, they won't be able to charge much for spaces, and, therefore, their tenants won't be tempted to park on the street. Particularly in cities where on-street parking is free or cheap, this tends to translate into a lot of extra parking and severely depressed parking rates. Meanwhile, the developer is left to find some way to extract value from dozens of unwanted parking spaces.
In these circumstances, the unwanted spaces are typically given away as free customer parking, or offered as housing or office space amenities. Because parking rates are not contributing to offset the cost of the unwanted parking, this cost must be recouped through sales and lease rates for housing or building space within the development. This "bundling" strategy increases the local cost of living, working, and operating a business. More importantly for BRT and TDM efforts, bundling removes a powerful incentive for all residents, tenants, or visitors to consider SOV alternatives, while creating an unfair and counter-productive burden on those who will use those alternatives regardless, whether out of choice or necessity.
Cities that are serious about BRT and/or TDM should eliminate all minimum parking requirements, at least near BRT and other public transport corridors, and in all walkable city centers. If such requirements do not lead to depressed parking rates and subsidized driving, then they were set below what developers would have provided anyway. Put another way, if minimum parking requirements have any effect at all on development, it will invariably be a net negative in terms of TDM and BRT support.
In recent years, a growing number of public transport agencies have teamed with universities, employers, developers, and even residential neighborhoods to provide universal public transport passes. These passes typically allow unlimited rides on local or regional public transport providers for low monthly fees, which are often absorbed entirely by the employer, school, developer, or neighborhood association. Universal public transport-pass programs offer the opportunity to purchase deeply discounted public transport passes on the condition that there is universal enrollment of students, employees, tenants, and residents.
The principle of universal public transport passes is similar to that of group insurance plans. Public transport agencies can offer deep bulk discounts when selling passes to a large group, with universal enrollment, on the basis that not all those offered the pass will actually use it regularly. On the other hand, automatic, group enrollment in a free-public transport benefit increases the likelihood that many will use it who would otherwise never try public transport. As such, several public transport-pass programs have produced remarkable shifts toward public transport modes and away from driving commutes.
Other strategies for reducing the cost of public transport use include:


Before Change
best_val_score = latest_val_score
train_score = latest_train_score
print((MODEL, SPLIT, DATASET, train_score, best_val_score))
elif MODEL == "PDNN":
model.fit(train, nb_epoch=25)
train_score = model.evaluate(train, [metric],
transformers)["mean-pearson_r2_score"]
val_score = model.evaluate(val, [metric],
transformers)["mean-pearson_r2_score"]
print((MODEL, SPLIT, DATASET, train_score, val_score))
// we cant re-open the closed session...
else:
model.fit(train)
train_score = model.evaluate(train, [metric],
After Change
//======================================================================
// Run Benchmarks {GC-DNN, SVR, RF}
print("About to retrieve datasets")
retrieve_datasets()
MODEL = "GraphConv"
SPLIT = "scaffold"


Zorba the Greek (1964)
-
I went for it all. Wife, house, children. The full catastrophe.
-
Life is trouble. To be alive is to undo your belt and look for trouble.
-
Good or bad, what is the difference? They all end up the same way.

-
“This is true happiness: to have no ambition and to work like a horse as if you had every ambition. To live far from men, not to need them and yet to love them. To have the stars above, the land to your left and the sea to your right and to realize of a sudden that in your heart, life has accomplished its final miracle: it has become a fairy tale.
-
“If a woman sleeps alone it puts a shame on all men. God has a very big heart, but there is one sin He will not forgive. If a woman calls a man to her bed and he will not go.”
-
“God changes his appearance every second. Blessed is the man who can recognize him in all his disguises.”


18 Dec 2020 Xintong Song
The Apache Flink community released the third bugfix version of the Apache Flink 1.11 series.
This release includes 151 fixes and minor improvements for Flink 1.11.2. The list below includes a detailed list of all fixes and improvements.
We highly recommend all users to upgrade to Flink 1.11.3.
Updated Maven dependencies:
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>1.11.3</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java_2.11</artifactId>
<version>1.11.3</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_2.11</artifactId>
<version>1.11.3</version>
</dependency>
You can find the binaries on the updated Downloads page.
List of resolved issues:
Sub-task
- [FLINK-17393] - Improve the `FutureCompletingBlockingQueue` to wakeup blocking put() more elegantly.
- [FLINK-18604] - HBase ConnectorDescriptor can not work in Table API
- [FLINK-18673] - Calling ROW() in a UDF results in UnsupportedOperationException
- [FLINK-18680] - Improve RecordsWithSplitIds API
- [FLINK-18916] - Add a "Operations" link(linked to dev/table/tableApi.md) under the "Python API" -> "User Guide" -> "Table API" section
- [FLINK-18918] - Add a "Connectors" document under the "Python API" -> "User Guide" -> "Table API" section
- [FLINK-18922] - Add a "Catalogs" link (linked to dev/table/catalogs.md) under the "Python API" -> "User Guide" -> "Table API" section
- [FLINK-18926] - Add a "Environment Variables" document under the "Python API" -> "User Guide" -> "Table API" section
- [FLINK-19162] - Allow Split Reader based sources to reuse record batches
- [FLINK-19205] - SourceReaderContext should give access to Configuration and Hostbame
- [FLINK-20397] - Pass checkpointId to OperatorCoordinator.resetToCheckpoint().
Bug
- [FLINK-9992] - FsStorageLocationReferenceTest#testEncodeAndDecode failed in CI
- [FLINK-13733] - FlinkKafkaInternalProducerITCase.testHappyPath fails on Travis
- [FLINK-15170] - WebFrontendITCase.testCancelYarn fails on travis
- [FLINK-16246] - Exclude "SdkMBeanRegistrySupport" from dynamically loaded AWS connectors
- [FLINK-16268] - Failed to run rank over window with Hive built-in functions
- [FLINK-16768] - HadoopS3RecoverableWriterITCase.testRecoverWithStateWithMultiPart hangs
- [FLINK-17341] - freeSlot in TaskExecutor.closeJobManagerConnection cause ConcurrentModificationException
- [FLINK-17458] - TaskExecutorSubmissionTest#testFailingScheduleOrUpdateConsumers
- [FLINK-17677] - FLINK_LOG_PREFIX recommended in docs is not always available
- [FLINK-17825] - HA end-to-end gets killed due to timeout
- [FLINK-18128] - CoordinatedSourceITCase.testMultipleSources gets stuck
- [FLINK-18196] - flink throws `NullPointerException` when executeCheckpointing
- [FLINK-18222] - "Avro Confluent Schema Registry nightly end-to-end test" unstable with "Kafka cluster did not start after 120 seconds"
- [FLINK-18815] - AbstractCloseableRegistryTest.testClose unstable
- [FLINK-18818] - HadoopRenameCommitterHDFSTest.testCommitOneFile[Override: false] failed with "java.io.IOException: The stream is closed"
- [FLINK-18836] - Python UDTF doesn't work well when the return type isn't generator
- [FLINK-18915] - FIXED_PATH(dummy Hadoop Path) with WriterImpl may cause ORC writer OOM
- [FLINK-19022] - AkkaRpcActor failed to start but no exception information
- [FLINK-19121] - Avoid accessing HDFS frequently in HiveBulkWriterFactory
- [FLINK-19135] - (Stream)ExecutionEnvironment.execute() should not throw ExecutionException
- [FLINK-19138] - Python UDF supports directly specifying input_types as DataTypes.ROW
- [FLINK-19140] - Join with Table Function (UDTF) SQL example is incorrect
- [FLINK-19151] - Flink does not normalize container resource with correct configurations when Yarn FairScheduler is used
- [FLINK-19154] - Application mode deletes HA data in case of suspended ZooKeeper connection
- [FLINK-19170] - Parameter naming error
- [FLINK-19201] - PyFlink e2e tests is instable and failed with "Connection broken: OSError"
- [FLINK-19227] - The catalog is still created after opening failed in catalog registering
- [FLINK-19237] - LeaderChangeClusterComponentsTest.testReelectionOfJobMaster failed with "NoResourceAvailableException: Could not allocate the required slot within slot request timeout"
- [FLINK-19244] - CSV format can't deserialize null ROW field
- [FLINK-19250] - SplitFetcherManager does not propagate errors correctly
- [FLINK-19253] - SourceReaderTestBase.testAddSplitToExistingFetcher hangs
- [FLINK-19258] - Fix the wrong example of "csv.line-delimiter" in CSV documentation
- [FLINK-19280] - The option "sink.buffer-flush.max-rows" for JDBC can't be disabled by set to zero
- [FLINK-19281] - LIKE cannot recognize full table path
- [FLINK-19291] - Fix exception for AvroSchemaConverter#convertToSchema when RowType contains multiple row fields
- [FLINK-19295] - YARNSessionFIFOITCase.checkForProhibitedLogContents found a log with prohibited string
- [FLINK-19300] - Timer loss after restoring from savepoint
- [FLINK-19321] - CollectSinkFunction does not define serialVersionUID
- [FLINK-19338] - New source interface cannot unregister unregistered source
- [FLINK-19361] - Make HiveCatalog thread safe
- [FLINK-19398] - Hive connector fails with IllegalAccessError if submitted as usercode
- [FLINK-19401] - Job stuck in restart loop due to excessive checkpoint recoveries which block the JobMaster
- [FLINK-19423] - Fix ArrayIndexOutOfBoundsException when executing DELETE statement in JDBC upsert sink
- [FLINK-19433] - An Error example of FROM_UNIXTIME function in document
- [FLINK-19448] - CoordinatedSourceITCase.testEnumeratorReaderCommunication hangs
- [FLINK-19535] - SourceCoordinator should avoid fail job multiple times.
- [FLINK-19557] - Issue retrieving leader after zookeeper session reconnect
- [FLINK-19585] - UnalignedCheckpointCompatibilityITCase.test:97->runAndTakeSavepoint: "Not all required tasks are currently running."
- [FLINK-19587] - Error result when casting binary type as varchar
- [FLINK-19618] - Broken link in docs
- [FLINK-19629] - Fix NullPointException when deserializing map field with null value for Avro format
- [FLINK-19675] - The plan of is incorrect when Calc contains WHERE clause, composite fields access and Python UDF at the same time
- [FLINK-19695] - Writing Table with RowTime Column of type TIMESTAMP(3) to Kafka fails with ClassCastException
- [FLINK-19717] - SourceReaderBase.pollNext may return END_OF_INPUT if SplitReader.fetch throws
- [FLINK-19740] - Error in to_pandas for table containing event time: class java.time.LocalDateTime cannot be cast to class java.sql.Timestamp
- [FLINK-19741] - InternalTimeServiceManager fails to restore due to corrupt reads if there are other users of raw keyed state streams
- [FLINK-19748] - KeyGroupRangeOffsets#KeyGroupOffsetsIterator should skip key groups that don't have a defined offset
- [FLINK-19750] - Deserializer is not opened in Kafka consumer when restoring from state
- [FLINK-19755] - Fix CEP documentation error of the example in 'After Match Strategy' section
- [FLINK-19775] - SystemProcessingTimeServiceTest.testImmediateShutdown is instable
- [FLINK-19777] - Fix NullPointException for WindowOperator.close()
- [FLINK-19790] - Writing MAP<STRING, STRING> to Kafka with JSON format produces incorrect data.
- [FLINK-19806] - Job may try to leave SUSPENDED state in ExecutionGraph#failJob()
- [FLINK-19816] - Flink restored from a wrong checkpoint (a very old one and not the last completed one)
- [FLINK-19852] - Managed memory released check can block IterativeTask
- [FLINK-19867] - Validation fails for UDF that accepts var-args
- [FLINK-19894] - Use iloc for positional slicing instead of direct slicing in from_pandas
- [FLINK-19901] - Unable to exclude metrics variables for the last metrics reporter.
- [FLINK-19906] - Incorrect result when compare two binary fields
- [FLINK-19907] - Channel state (upstream) can be restored after emission of new elements (watermarks)
- [FLINK-19909] - Flink application in attach mode could not terminate when the only job is canceled
- [FLINK-19948] - Calling NOW() function throws compile exception
- [FLINK-20013] - BoundedBlockingSubpartition may leak network buffer if task is failed or canceled
- [FLINK-20018] - pipeline.cached-files option cannot escape ':' in path
- [FLINK-20033] - Job fails when stopping JobMaster
- [FLINK-20050] - SourceCoordinatorProviderTest.testCheckpointAndReset failed with NullPointerException
- [FLINK-20063] - File Source requests an additional split on every restore.
- [FLINK-20064] - Broken links in the documentation
- [FLINK-20065] - UnalignedCheckpointCompatibilityITCase.test failed with AskTimeoutException
- [FLINK-20068] - KafkaSubscriberTest.testTopicPatternSubscriber failed with unexpected results
- [FLINK-20069] - docs_404_check doesn't work properly
- [FLINK-20076] - DispatcherTest.testOnRemovedJobGraphDoesNotCleanUpHAFiles does not test the desired functionality
- [FLINK-20079] - Modified UnalignedCheckpointITCase...MassivelyParallel fails
- [FLINK-20081] - ExecutorNotifier should run handler in the main thread when receive an exception from the callable.
- [FLINK-20143] - use `yarn.provided.lib.dirs` config deploy job failed in yarn per job mode
- [FLINK-20165] - YARNSessionFIFOITCase.checkForProhibitedLogContents: Error occurred during initialization of boot layer java.lang.IllegalStateException: Module system already initialized
- [FLINK-20175] - Avro Confluent Registry SQL format does not support adding nullable columns
- [FLINK-20183] - Fix the default PYTHONPATH is overwritten in client side
- [FLINK-20193] - SourceCoordinator should catch exception thrown from SplitEnumerator.start()
- [FLINK-20194] - KafkaSourceFetcherManager.commitOffsets() should handle the case when there is no split fetcher.
- [FLINK-20200] - SQL Hints are not supported in "Create View" syntax
- [FLINK-20213] - Partition commit is delayed when records keep coming
- [FLINK-20221] - DelimitedInputFormat does not restore compressed filesplits correctly leading to dataloss
- [FLINK-20222] - The CheckpointCoordinator should reset the OperatorCoordinators when fail before the first checkpoint.
- [FLINK-20223] - The RecreateOnResetOperatorCoordinator and SourceCoordinator executor thread should use the user class loader.
- [FLINK-20243] - Remove useless words in documents
- [FLINK-20262] - Building flink-dist docker image does not work without python2
- [FLINK-20266] - New Sources prevent JVM shutdown when running a job
- [FLINK-20270] - Fix the regression of missing ExternallyInducedSource support in FLIP-27 Source.
- [FLINK-20277] - flink-1.11.2 ContinuousFileMonitoringFunction cannot restore from failure
- [FLINK-20284] - Error happens in TaskExecutor when closing JobMaster connection if there was a python UDF
- [FLINK-20285] - LazyFromSourcesSchedulingStrategy is possible to schedule non-CREATED vertices
- [FLINK-20333] - Flink standalone cluster throws metaspace OOM after submitting multiple PyFlink UDF jobs.
- [FLINK-20351] - Execution.transitionState does not properly log slot location
- [FLINK-20382] - Exception thrown from JobMaster.startScheduling() may be ignored.
- [FLINK-20396] - Add "OperatorCoordinator.resetSubtask()" to fix order problems of "subtaskFailed()"
- [FLINK-20404] - ZooKeeper quorum fails to start due to missing log4j library
- [FLINK-20413] - Sources should add splits back in "resetSubtask()", rather than in "subtaskFailed()".
- [FLINK-20418] - NPE in IteratorSourceReader
- [FLINK-20442] - Fix license documentation mistakes in flink-python.jar
- [FLINK-20492] - The SourceOperatorStreamTask should implement cancelTask() and finishTask()
- [FLINK-20554] - The Checkpointed Data Size of the Latest Completed Checkpoint is incorrectly displayed on the Overview page of the UI
New Feature
- [FLINK-19934] - [FLIP-27 source] add new API: SplitEnumeratorContext.runInCoordinatorThread(Runnable)
Improvement
- [FLINK-16753] - Exception from AsyncCheckpointRunnable should be wrapped in CheckpointException
- [FLINK-18139] - Unaligned checkpoints checks wrong channels for inflight data.
- [FLINK-18500] - Make the legacy planner exception more clear when resolving computed columns types for schema
- [FLINK-18545] - Sql api cannot specify flink job name
- [FLINK-18715] - add cpu usage metric of jobmanager/taskmanager
- [FLINK-19193] - Recommend stop-with-savepoint in upgrade guidelines
- [FLINK-19225] - Improve code and logging in SourceReaderBase
- [FLINK-19245] - Set default queue capacity for FLIP-27 source handover queue to 2
- [FLINK-19251] - Avoid confusing queue handling in "SplitReader.handleSplitsChanges()"
- [FLINK-19252] - Jaas file created under io.tmp.dirs - folder not created if not exists
- [FLINK-19265] - Simplify handling of 'NoMoreSplitsEvent'
- [FLINK-19339] - Support Avro's unions with logical types
- [FLINK-19523] - Hide sensitive command-line configurations
- [FLINK-19569] - Upgrade ICU4J to 67.1+
- [FLINK-19677] - TaskManager takes abnormally long time to register with JobManager on Kubernetes
- [FLINK-19698] - Add close() method and onCheckpointComplete() to the Source.
- [FLINK-19892] - Replace __metaclass__ field with metaclass keyword
- [FLINK-20049] - Simplify handling of "request split".
- [FLINK-20055] - Datadog API Key exposed in Flink JobManager logs
- [FLINK-20142] - Update the document for CREATE TABLE LIKE that source table from different catalog is supported
- [FLINK-20152] - Document which execution.target values are supported
- [FLINK-20156] - JavaDocs of WatermarkStrategy.withTimestampAssigner are wrong wrt Java 8
- [FLINK-20169] - Move emitting MAX_WATERMARK out of SourceOperator processing loop
- [FLINK-20207] - Improve the error message printed when submitting the pyflink jobs via 'flink run'
- [FLINK-20296] - Explanation of keyBy was broken by find/replace of deprecated forms of keyBy
Test
- [FLINK-18725] - "Run Kubernetes test" failed with "30025: provided port is already allocated"
Task
- [FLINK-20455] - Add check to LicenseChecker for top level /LICENSE files in shaded jars


Capacitor works on a three-step build process: First, your web code is built (if necessary). Next, the built web code is copied to each platform. Finally, the app is compiled using the platform-specific tooling.
Capacitor does not have any built-in feature to build web code. Instead, you will use your framework's build process of choice.
Regardless of your build process, we recommend adding a build
script to your package.json
to enable the standard frontend
build command:
{
"scripts": {
"build": "command-to-build (ex: webpack, tsc, babel, etc.)"
}
}
npm run build
This builds your Progressive Web App if you've configured
Once your web code is built, it needs to be copied to each native project:
npx cap copy
This should be run each time you perform a build. Feel free to add this command to the end of your build script in package.json
iOS relies on Xcode to do the final app compile
npx cap copy ios
npx cap open ios
Once Xcode launches, you can build your finally app binary through the standard Xcode workflow.
Currently, Android relies on Android Studio (or, optionally, the Android CLI tools) to build the app:
npx cap copy android
npx cap open android
Once Android Studio launches, you can build your app through the standard Android Studio workflow.


?copyright
reserved
bSSSU
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LOCALITY:
Coral
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dirt
road
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Coral
Bay.
HABITAT:
Disturbed
roadside.
DESCRIPTION:
Climbing
shrub,
5-7
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long;
branches
opposite.
Calyx
green;
corolla
lobes
white,
tube
light
green.
COLL:
P.
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A.
Siaca
DATE:
4
Jan
1992
ny>IMAG2D
NEW
YORK
BOTANICAL
GARDEN
00843175
BOTANICAL
GARDE**
Supported
by
funds
from:
Smithsonian
Institution
and
The
Homeland
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SMITHSONIAN
INSTITUTION
From
THE
UNITED
STATES
NATIONAL
HERBARIUM
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
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medium
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very high


At ABC, volunteers are treasured allies who assist early childhood teachers in their work with infants, toddlers and preschoolers.
ABC's five early childhood programs work alongside youth services staff to establish one-on-one mentoring relationships with school-aged children in ABC's afterschool programs. ABC also opens its doors to families on Saturdays during the school year and on Wednesday evenings during the summer with educational programs for parents and recreational activities for children along with hot meals. Volunteers are especially critical to the success of both.
Choose one of five volunteering opportunities in our early childhood program.
» Cassidy's Place: Focuses on children from the ages of three to five; who live in poverty and suffer from the debilitating consequences of serious medical conditions and special needs. Located on 419 East 86th street (between First and York Avenue). Program operates year-round, Monday through Friday from 9:00a.m. to 6:00 p.m. through the school year and 9:00 a.m. to 3:30 p.m. during the summer. For more information about the program and volunteering opportunities please contact Patricia Mckeena at<PHONE_NUMBER> or<EMAIL_ADDRESS>» Merricat's Castle School: A preschool program which integrates homeless, disabled and terminally ill children with healthy children from the school’s neighborhood; ages two threw 5. Located on 316 East 88th Street (between First and Second Avenues) Program operates from September through June, Monday through Friday from 9:00 a.m. to 3:30 p.m. For more information about the program and volunteering opportunities please contact Linda Wosczyk at<PHONE_NUMBER> or<EMAIL_ADDRESS>» Variety Cody Grifford House: Home to ABC’s early intervention program for infants and toddlers who struggle with severe developmental disabilities and serious medical conditions.Located at 404 East 91st Street (between First and Second Avenues)Program operates year-round, Monday through Friday from 9:00 a.m. to 3:00 p.m. For more information about the program and volunteering opportunities please contact Chrissy Zaccario at<PHONE_NUMBER> ext.302 or<EMAIL_ADDRESS>» The Keith Haring School: A small early intervention program for children who reside at ABC’s permanent supportive program for medically fragile families as well as for children from the neighborhood. Located at 318 East 116th Street (between First and Second Avenues)Operates year-round, Monday through Friday from 9:00 a.m. to 3:00 p.m.For more information about the program and volunteering opportunities please contact Meghan Canning at<PHONE_NUMBER>0 ext.1 or<EMAIL_ADDRESS>» Echo Park Childhood Center: Located at ABC’s large multi-service center, Echo Park, and provides enriched educational programming for infants, toddlers and preschoolers.1841 Park Avenue (NE corner of East 126th Street) Program operates year-round, Monday through Friday from 8:30 a.m. to 3:30 p.m. during the school year and 8:30 a.m. to 3:00 p.m. For more information about the program and volunteering opportunities please contact Shawana Eaddy at<PHONE_NUMBER> ext. 11 or seaddy@a-b-c.org


| PEP: | 12 |
|---|---|
| Title: | Sample reStructuredText PEP Template |
| Author: | David Goodger <goodger at python.org>, Barry Warsaw <barry at python.org> |
| Status: | Active |
| Type: | Process |
| Content-Type: | text/x-rst |
| Created: | 05-Aug-2002 |
| Post-History: | 30-Aug-2002 |
This PEP provides a boilerplate or sample template for creating your own reStructuredText PEPs.
This document has been placed in the public domain.


[3] J. Agler, J.E. M\McC Carthy, and N.J. Young, A Carathéodory theorem for the bidisk via Hilbert space methods, Math. Ann. 352 (2012), 581-624.


Crempog! Dosa! Skonsa! Cachapas!
arou-und the world, a-round the wor-orld
-
Pancake
Good ol' US of A breakfast food, right here. The mother-@#&!ing pancake.
Back to top -
Injera
The injera hails from Africa, specifically Eritrea and Ethiopia. A spongey flatbread used as a dish, utensil and food.
Back to top -
Pannekoek
The pannekoek hails from South Africa, traditionally eaten on cold and wet days.
Back to top -
Dosa, Uttapam, Appam and more!
India wins with the most variations of the pancake. The Dosa, appam, neer dosa and uttapam are made with fermented rice batter and black lentils. Yum? But wait! There's more! Besan ka cheela, Thalipeeth, Malpua, and Pesarattu!
Back to top -
Chataamari
Here's on I'm particularly interested in: chataamari. In Nepal, the Newar make a rice pancake with eggs or meat on top. It has been dubbed the Newari Pizza, being it resembles an American pizza. I'll take two, please
Back to top -
Pfannkuchen
Pfanne meaning "pan" and Kuchen meaning cake, is pretty similar to our own pancake but can be savory, and... well, it has a much better name: Pfannkuchen!!!


{{< layout}} {{$pageTitle}}Confirm your identity{{/pageTitle}} {{$header}}
You'll need to ask someone to check this photo to confirm your identity. {% if values['lost-stolen'] %} This is because you're replacing a lost or stolen passport. {% endif %}
The way they can do this has changed – they can do it online. They don't have to sign a printed photo.
We'll tell you what you need to do after you've paid.
{{/nunjucks}} {{#input-submit}}{{/input-submit}} {{/form}} {{/ hmpo-partials-form}} {{/content}} {{$sidebar}}


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 113488general/77009AccessingNattypewithininductiveTyp.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/113488-general/topic/Accessing.20Nat.20type.20within.20inductive.20Typ.html


test
Give Feedback
Get Example Code Snippets
Copy to Clipboard
Save to File
Copy to Clipboard
Save to File


{% extends "header.html" %} {% block body %}
While you can get by writing Kivy applications without ever writing Kivy language (.kv), using the Kivy language may be useful to you for organization and separating application logic from the presentation of it.
It may also boil down to preference in the end. Try both and see what you like best.
Here, we're going to show a very basic implementation of the Kivy language.
KivyVideo3.py file:
from kivy.app import App #kivy.require("1.8.0") from kivy.uix.label import Label class SimpleKivy(App): def build(self): return Label() if __name__ == "__main__": SimpleKivy().run()
This code should be easy enough to follow if you've been following along with the series. Nothing new here.
So what gives? How does this .kv stuff work?
The naming convention for the .kv file needs to follow the main app class, so SimpleKivy should be the name of our .kv file.
So now, let's make the kivy file, calling it SimpleKivy.kv:
#:kivy 1.8.0 <Label> text: 'Hello'+' World!'
So this is our Kivy Language. The tag signs just note that this is the parent, then we have children under it. Here, we're just saying we want to have a label that says "Hello" + "World!"
You could also say text: "Hello world!" I chose to show that you can include some basic Python code as well within the Kivy files.
This is just a basic example, showing the same result as the previous tutorial. The main advantage by using the Kivy language is just for organization. If you have, say, 50 labels in total, 20 buttons, and various other widgets, it will clutter your Python script quite a bit to do all of the styling within it. It might just help for clarity alone to separate the two. Kivy language reminds me a lot of CSS, or stylesheets, for HTML. While you could write all of your styles in line with your HTML, it just makes more sense to separate it.


Module pl.lexer
Lexical scanner for creating a sequence of tokens from text
lexer.scan(s)
returns an iterator over all tokens found in the
string s
. This iterator returns two values, a token type string
(such as 'string' for quoted string, 'iden' for identifier) and the value of the
token.
Versions specialized for Lua and C are available; these also handle block comments and classify keywords as 'keyword' tokens. For example:
> s = 'for i=1,n do' > for t,v in lexer.lua(s) do print(t,v) end keyword for iden i = = number 1 , , iden n keyword doSee the Guide for further discussion
Functions
| scan (s, matches, filter, options) | create a plain token iterator from a string or file-like object |
| insert (tok, a1, a2) | insert tokens into a stream |
| getline (tok) | get everything in a stream upto a newline |
| lineno (tok) | get current line number |
| getrest (tok) | get the rest of the stream |
| get_keywords () | get the Lua keywords as a set-like table |
| lua (s, filter, options) | create a Lua token iterator from a string or file-like object |
| cpp (s, filter, options) | create a C/C++ token iterator from a string or file-like object |
| get_separated_list (tok, endtoken, delim) | get a list of parameters separated by a delimiter from a stream |
| skipws (tok) | get the next non-space token from the stream |
| expecting (tok, expected_type, no_skip_ws) | get the next token, which must be of the expected type |
Functions
- scan (s, matches, filter, options)
-
create a plain token iterator from a string or file-like object
Parameters:
s
: the stringmatches
: an optional match table (set of pattern-action pairs)filter
: a table of token types to exclude, by default {space=true}options
: a table of options; by default, {number=true,string=true}, which means convert numbers and strip string quotes.
- insert (tok, a1, a2)
-
insert tokens into a stream
Parameters:
tok
: a token streama1
: a string is the type, a table is a token list and a function is assumed to be a token-like iterator (returns type & value)a2
: a string is the value
- getline (tok)
-
get everything in a stream upto a newline
Parameters:
tok
: a token stream
Returns:
-
a string
- lineno (tok)
-
get current line number
Only available if the input source is a file-like object.Parameters:
tok
: a token stream
Returns:
-
the line number and current column
- getrest (tok)
-
get the rest of the stream
Parameters:
tok
: a token stream
Returns:
-
a string
- get_keywords ()
-
get the Lua keywords as a set-like table
So
res["and"]
etc would betrue
.Returns:
-
a table
- lua (s, filter, options)
-
create a Lua token iterator from a string or file-like object
Will return the token type and value.
Parameters:
s
: the stringfilter
: a table of token types to exclude, by default {space=true,comments=true}options
: a table of options; by default, {number=true,string=true}, which means convert numbers and strip string quotes.
- cpp (s, filter, options)
-
create a C/C++ token iterator from a string or file-like object
Will return the token type type and value.
Parameters:
s
: the stringfilter
: a table of token types to exclude, by default {space=true,comments=true}options
: a table of options; by default, {number=true,string=true}, which means convert numbers and strip string quotes.
- get_separated_list (tok, endtoken, delim)
-
get a list of parameters separated by a delimiter from a stream
Parameters:
tok
: the token streamendtoken
: end of list (default ')'). Can be '\n'delim
: separator (default ',')
Returns:
-
a list of token lists.
- skipws (tok)
-
get the next non-space token from the stream
Parameters:
tok
: the token stream.
- expecting (tok, expected_type, no_skip_ws)
-
get the next token, which must be of the expected type
Throws an error if this type does not match!
Parameters:
tok
: the token streamexpected_type
: the token typeno_skip_ws
: whether we should skip whitespace


--- title: "Blog (sorted by years)" permalink: /years/ layout: posts author_profile: true ---
Sort by categories or tags


Who Am I Let me start by my name
Abdallah Al-Zubaidi
First i would like to start with a quote.
"The ones who are crazy enough to think they can change the world, are the ones that do."
-- Anonymous
I graduated as an interior designer
I used to work as a chef, but my work stopped since the Covid-19 crisis, so I decided to work on my hobbies, one of which is Java and Python programming. I am lucky to find you guys and I am proud to join you And one of my hobbies is also drawing. But I stopped to devote myself to lectures now.
I'm excited about the upcoming lessons because I felt emptied out during the vacation and can't wait to get started. with all of you.
I hope to gain more knowledge and to grow in my career level to be one of the best in the tech industry. Am seeking to learn more and make new achievements that one day history will talk about.
I have always dreamed of being in the tech industry but I had some difficult circumstances in the past letting me delay achieving my dream. But as i always say its never too late to do what you love and what you are passionate about. However, no matter what a person might pass through he could still make it happen and during Covid 19 i lost my job and made me realize maybe its time for a change and i started taking courses and then had this great opportunity to pursue my long lasting dream. It is even better than a cinderella story.
The main why is because ever since i saw the movie of silicon valley i thought why not me having a movie about me and I was just 10 years old then. I tried to pursue my dream but the financials werent good and I just want to make a difference and make my parents proud.
Here is some thing new about me my top ten series list.


BSDTW
Menu
HackMD
Events
BSDTW 2017 conf
BSD Taiwan
We are BSD lovers in Taiwan.
You can find us via:


Nervous Monitoring
Building an Air Quality Monitor with Nerves
2019-12-17
Kamil Kowalski
Elixir Nerd @ Fresha / Shedul
Key Facts
- 4.2m premature deaths in 2016 alone
- 91% of population lives in polluted areas
- indicated by high PM
source:
who.int
Particulate Matter
-
sulfate, nitrates, ammonia, sodium chloride, black carbon,
mineral dust and water
-
PM2.5 can penetrate the lung barrier and enter the blood system
-
safe PM2.5 levels: <= 25 μg/m3 24-hour mean
-
safe PM10 levels: <= 50 μg/m3 24-hour mean
source:
who.int
Nerves
- framework for embedded applications
- handles cross-compilation, networking, software updates
- leverages Erlang for reliability
Easy Start
mix archive.install hex nerves_bootstrap
mix nerves.new air_quality_monitor
Simple Logging Monitor
- Raspberry Pi Zero WH
- Plantower PMS 7003 (w/ adapter)
- wires and 5V USB charger
Adding UI
Meet Poncho
Photo by Lewis Parsons on Unsplash
Poncho Structure
- air_quality_monitor
- air_quality_monitor_firmware
- air_quality_monitor_ui
Adding WebSockets
Photo by Neven Krcmarek on Unsplash
Wrapping Up
- configuring firmware to use UI
-
accessing our application at
nerves.local


--- layout: post title: 'Future of Mobile: Panel Discussion' date: 2008-11-17 00:00:00 categories: business mobile ---
Future of Mobile: Panel Discussion
Panel discussion:
Dan Appelquist, Vodafone
Mark Curtis, Flirtomatic
Alfie Dennen, Moblog
Justin Davies, Twenty10
Carl Uminski, Trutap
James Body, Truphone
Sam, A.N.Operator
Q: Carl, where did you get your jacket?
A: !
Q: For application developers: where were we 2-3 years ago, what's changed, what's good, what's bad?
MC: You can advertise on mobile. There's a large audience to reach on the mobile, who weren't there 2 years ago. We ran our first ads on Admob in August 2006, saw an attractive cost of acquisition, but low volumes of users. Just after xmas 2006 we ran our first ads on operator portals and got 3.5k users in 3 hours - and they're good users, they spend money with us.
Q: And you Alfie?
AD: Advertising has made a difference, particularly if you don't have a relationship with an operator. Users aren't as afraid as they were of going off-portal.
Q: Justin/Carl, are applications still a dark art?
JD: J2ME lets you go quite a long way across the board in handset support. Java implementations are getting better but there are still problems. Applications now do work on handsets - a year ago VCs didn't like the idea of them, they preferred sites, but now people understand them better. Android, Apple have launched marketplaces and people are now used to them. From a UE point of view an app lets you do things a web site just can't do.
Q: How have emerging markets reacted, Carl?
CU: They're often not 3G users. We're finding customers with good connections and data rates, they're very cheap to use. We use optimised protocols to avoid bill shock. Also handset manufacturers and operators like applications.
Q: James, has the iPhone changed much for you?
JB: The App store has been a big success. We were the first VOIP app in the App Store, and did very well out of that.
AD: Doesn't it take us back a bit to have these closed, partitioned areas where commerce takes place? Won't discovery suffer?
JB: The Apple system isn't perfect but there's a fair chance an app will work if you get it through there.
Q: Will the application store model ever be mass market?
JD: It already is.
JB: We generate more revenue from iPhone users than Symbian users
DA: The App Store has also debunked the idea that real users don't want to use applications. The prevailing wisdom have been that applications were for the nerds.
JB: It's more about people not being told what they can buy by operators.
MC: It doesn't make much difference whether it's operators or Apple telling customers what they can download. It's more about how users will discover you, and thinking about how it'll happen in a years time once the fuss around the iPhone store has gone away. It's easy to get in the top 10 now, outside of that you're in the long tail - so where's the discovery then?
Q: Are you familiar with the UK operators and their developer services? Vodafone Betavine, O2 Litmus, Orange, T-Mobile.
DA: It's great to see O2 coming to the table. O2 Litmus is different from Betavine.
Q: Sam?
Sam: Operators have some value to add: identity, location, and billing. Location is being eroded because they didn't do anything with it. Identity is useful (through control of the SIM card). Revenue shares on billing are still very high.
Q: Do you use external agencies?
MC: Yes, but it depends what for. In the last 2 years, an external agency for usability - and it paid for itself twice over.
CU: We use Future Platforms :)
AD: Panelists doing applications: do you see a move towards web-based?
JB: It's going to be a mixture.
Q: How does a company approach Vodafone? Who sites the budget/acceptance of a third party app. How realistic is it for me to get my new application onto phones?
DA: The answer long-term is to use the web as a distribution medium. Vodafone is in a joint venture with China Mobile and Softbank Mobile. Q3 they're launching an app platform with these guys to upload widgets to a single store and have them distributed across all OpCos.
Q: With gaming generating more revenue than movies, why no mention of mobile gaming today?
JB: In the iPhone App store, lots of the popular apps are games.
AD: There's no-one from mobile gaming on the panel.
Q: For a mobile developer starting a new project today, iPhone or Android?
MC: Logically iPhone, cos it's out there and Android isn't.
AD: What he said, in part because it's hard to get onto any portal. If your business doesn't need a complex application, look at XHTML.
DA: You can do more with the web right now, on Android you can use Gears with web apps to get location/local storage. On iPhone you can use PhoneGap to do the same.
JB: We go for the platforms that generate revenue. Number 1 is Symbian, because "quantity has quality all of its own", 2 is iPhone because there are fewer but you generate more revenue. 3 is Blackberry.
CU: When you're looking at social networking, you need Java to get lots of platforms. iPhone and Android don't do J2ME. GetJar does good distribution through their store.
Q: Are iPhone users normobs?
JD: Apart from the people on this panel, yes. It's changed perception of what a mobile can do.
AD: Let's not forget it was broken in so many ways, but it was good at the basics. I don't have much time for it - it's taken us back a bit.
Q: What user numbers are mobile ad servers looking for to place ads?
 Depends on whether it's on cost-per-click or CPM. CPM means 20-30k+ users a day before you make an impact. The off-portal market isn't expanding as fast in the UK as we would've liked to have seen. We're very dependent on advertising on operator decks. You need different techniques to milk a cow, a pig, a goat and a chicken.
CU: On location services, most people don't go to that many places: work, pub, gym, home. Because it's in a social context - it's useful. e.g. my friends know where I am if I'm at work.
Q: What's the best way to get new users? Bring them from the web to mobile, or direct to mobile?
JD: Get them on the mobile web, because you know they're already using the net on their phone. You can also filter by device.
Q: Will the most exciting apps come from Silicon Valley or Europe?
DA: India
MC: Europe
AD: Europe
CU: Europe
JB: Europe
Sam: Europe for Europeans, America for US
Q: Future of Mobile is...?
DA: The web
MC: Complexity
AD: One Web
JD: Personalisation
CU: Please cheap data
JB: Freedom
Sam: One web
Q: Android or iPhone?
DA: Android will be to the iPhone what the PC was to the Mac
AD: iPhone will learn from the web, it'll be an even playing field
JD: Android because it'll be on more handsets in emerging markets
CU: There's no comparison. It's Android or Symbian, iPhone is an end-to-end experience, Android is an OS.
JB: Today: iPhone. In 2-4 years, Android's looking good.
Sam: Android on an iPhone
Q: What's your favourite mobile app?
Sam: Twitter
JB: Mobile facebook
CU: Google maps
JD: Google maps
AD: GMail
MC: Google Maps
DA: Koi Pond


WITNESS LIST
Finance
July 22, 2017 1:00 PM
FOR:
Ginn, PhD, Vance Economist (also providing written testimony) (Texas Public Policy
Foundation), Austin, TX
Turner, Angie Co-Director, Volunteer (also providing written testimony) (COS Action -
TX), Eastland, TX
AGAINST:
DeLuna - Castro, Eva Budget Analyst (also providing written testimony) (Center for
Public Policy Priorities)
ON:
Greenfield, Stuart Professor (also providing written testimony) (Self)
Registering, but not testifying:
FOR:
Ayala, Salvador Budget & Policy Analyst (Self; Texans for Fiscal Responsibility), Austin,
TX
Cahn, Adam Blogger (Cahnman's Musings), ATX
Fabry, Thomas (Self), Frisco, TX
Fabry, Toni Retired/Nurse (Self), Frisco, TX
Keener, Justin (Americans for Prosperity - Texas), Austin, TX
Matocha, Dustin Executive Director (Self; Empower Texans), Austin, TX
Matocha, Dustin Executive Director (Self; Empower Texans), Austin, TX
Miller, Natalie (Self), Dallas, TX
Mintz, David Vice President of Government Affairs (Texas Apartment Association),
Austin, TX
Spilman, Annie Legislative director (National Federation of Independent Business/Texas),
Austin, TX
AGAINST:
Albert, David Dr. (Self), Austin, TX
Beneski, Amy (Texas Association of School Administrators), Austin, TX
Blanton, Dana (Self), Austin, TX
Brooks, Linda (Self), Austin, TX
Burleson, Anna Belle (Self), Austin, TX
Campbell, Grover Assoc Ex Dir Gov Relations, TASB (Texas Association of School
Boards), Austin, TX
Collins, Karen (Self), Austin, TX
Drummond, Marie (Self), Del Valle, TX
Forman, Bettie (Self), Austin, TX
Forman, Bettie (Self), Austin, TX
Frijhoff, Anita (Self), Austin, TX
Garcia, Andrea (LWV-TX), Austin, TX
Green, David (City of Austin), Austin, TX
Guy, Linda RN,PNP (Self), Austin, TX
WITNESS LIST
Finance
July 22, 2017 1:00 PM
Hamill, Joe Legislative and Political Director (American Federation of State, County and
Municipal Employees), Austin, TX
Houston, Joshua General Counsel (Texas Impact), Austin, TX
Iyer, Vishwanath (Self), Austin, TX
Jennings, Steven (Self), Spring Branch, TX
Lara, Rene Legislative Dir. (Texas AFL-CIO), Austin, TX
Melomo, Theresa (Self), Austin, TX
Nichols, Colby (Instructional Material Coordinators' Association of Texas; Texas Rural
Education Association), Austin, TX
Nirenberg, Jackie (Self), Austin, TX
ODonnell, Lisa (Self), Austin, TX
Person, Maria (Self), Austin, TX
Quinzi, Patty Legislative Counsel, TX American Fed. Of Teachers (TX-American
Federation of Teachers), Austin, TX
Rudow, Joshua Dr. (Self), Austin, TX
Vunderink, Gregg (Self), TX, TX
ON:
Currah, Tom Chief Revenue Estimator (Texas Comptroller of Public Accounts), Austin,
TX
Minick, Stephen Vice President for Government Affairs (Texas Asssociation of Business),
Austin, TX
FOR:
Lee, Tim Exec. Dir. Tx Retired Teachers Assn. (TX Ret Teachers Assn), Austin, TX
AGAINST:
Gray, Tonja Teacher (Self), Abilene, TX
Grey, John Government Relations Specialist (Texas State Teachers Association), Austin,
TX
Hartman, Eric attorney (also providing written testimony) (Texas AFT (American
Federation of Teachers)), Austin, TX
ON:
Aleman, Steven Policy Specialist (also providing written testimony) (Disability Rights
Texas), Austin, TX
Daniel, Katrina (TRS)
DeLuna - Castro, Eva Budget Analyst (Center for Public Policy Priorities)
Exter, Monty Lobbyist (The Association of Texas Professional Educators)
Greenfield, Stuart Professor (Self)
Guthrie, Brian Executive Director (TRS)
Hollingsworth, Lonnie Attorney (Texas Classroom Teachers Association), Austin
Piccola, Kyle Government Relations (The Arc of Texas), Austin
Ray, Karen Chief Counsel (Health and Human Services Commission)
Rome, Christy Executive Director (Texas School Coalition), Austin, TX
Rymal, Greta Deputy Executive Commissioner for Financial Services (Health and Human
Services Commission)
WITNESS LIST
Finance
July 22, 2017 1:00 PM
Registering, but not testifying:
FOR:
Louder, Deborah Retired teacher (Self), San angelo, TX
Matocha, Dustin Executive Director (Self; Empower Texans), Austin, TX
Matocha, Dustin Executive Director (Self; Empower Texans), Austin, TX
Miller, Natalie (Self), Dallas, TX
AGAINST:
Albert, David Dr. (Self), Austin, TX
Aylor, Candace (Self), Austin, TX
Beneski, Amy (Texas Association of School Administrators), Austin, TX
Berg, Susan Parent (Self), Austin, TX
Brooks, Linda (Self), Austin, TX
Burleson, Anna Belle (Self), Austin, TX
Butki, Scott (Self), Austin, TX
Campbell, Grover Assoc Ex Dir Gov Relations, TASB (Texas Association of School
Boards), Austin, TX
Collins, Karen (Self), Austin, TX
Collins-Becker, Victoria MEd (Self), Austin, TX
Donnelly, Sophia (Self), Austin, TX
Dougherty, Meghan (Self), Austin, TX
Drummond, Marie (Self), Del Valle, TX
Fabry, Thomas (Self), Frisco, TX
Fabry, Toni Retired/Nurse (Self), Frisco, TX
Forman, Bettie (Self), Austin, TX
Frijhoff, Anita (Self), Austin, TX
Guy, Linda RN,PNP (Self), Austin, TX
Iyer, Vishwanath (Self), Austin, TX
Jennings, Steven (Self), Spring Branch, TX
Kernion, Juliette (Self), Austin, TX
King, Henry (Self), Round Rock, TX
Langford, Steve (Self), Austin, TX
Lara, Rene Legislative Dir. (Texas AFL-CIO), Austin, TX
Melomo, Theresa (Self), Austin, TX
Mizell-Flint, Ami (Self), San Angelo, TX
Nichols, Colby (Instructional Material Coordinators' Association of Texas; Texas Rural
Education Association), Austin, TX
Nirenberg, Jackie (Self), Austin, TX
Nunnelee, Christie (Self), Hurst, TX
ODonnell, Lisa (Self), Austin, TX
Person, Maria (Self), Austin, TX
Pruett, Kay (Self), Austin, TX
Rosenthal, Chip (Self), Austin, TX
Sharpton, Robin (Self), Cedar creek, TX
WITNESS LIST
Finance
July 22, 2017 1:00 PM
Smith, Michelle Consultant (Texas Association of School Business Officials), Austin, TX
Stephany, Ray (Self), Austin, TX
Travis, Sabrina (Self), Austin, TX
Vunderink, Gregg (Self), TX, TX
ON:
Whitehurst, Darren (Texas Medical Association), Austin, TX


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| Author: | Shunsuke Sogame |
|---|---|
| Contact: |<EMAIL_ADDRESS>|
| Date: | 26th of May 2006 |
| Copyright: | Shunsuke Sogame 2005-2006. Use, modification and distribution is subject to the Boost Software License, Version 1.0 (see LICENSE_1_0.txt). |
Boost.Range MFC/ATL Extension provides Boost.Range support for MFC/ATL collection and string types.
CTypedPtrArray<CPtrArray, CList<CString> *> myArray; ... BOOST_FOREACH (CList<CString> *theList, myArray) { BOOST_FOREACH (CString& str, *theList) { boost::to_upper(str); std::sort(boost::begin(str), boost::end(str)); ... } }
If the <boost/range/mfc.hpp> is included before or after Boost.Range headers, the MFC collections and strings become models of Range. The table below lists the Traversal Category and range_reference of MFC ranges.
| Range | Traversal Category | range_reference<Range>::type |
|---|---|---|
| CArray<T,A> | Random Access | T& |
| CList<T,A> | Bidirectional | T& |
| CMap<K,AK,M,AM> | Forward | Range::CPair& |
| CTypedPtrArray<B,T*> | Random Access | T* const |
| CTypedPtrList<B,T*> | Bidirectional | T* const |
| CTypedPtrMap<B,T*,V*> | Forward | std::pair<T*,V*> const |
| CByteArray | Random Access | BYTE& |
| CDWordArray | Random Access | DWORD& |
| CObArray | Random Access | CObject* & |
| CPtrArray | Random Access | void* & |
| CStringArray | Random Access | CString& |
| CUIntArray | Random Access | UINT& |
| CWordArray | Random Access | WORD& |
| CObList | Bidirectional | CObject* & |
| CPtrList | Bidirectional | void* & |
| CStringList | Bidirectional | CString& |
| CMapPtrToWord | Forward | std::pair<void*,WORD> const |
| CMapPtrToPtr | Forward | std::pair<void*,void*> const |
| CMapStringToOb | Forward | std::pair<String,CObject*> const |
| CMapStringToString | Forward | Range::CPair& |
| CMapWordToOb | Forward | std::pair<WORD,CObject*> const |
| CMapWordToPtr | Forward | std::pair<WORD,void*> const |
Other Boost.Range metafunctions are defined by the following. Let Range be any type listed above and ReF be the same as range_reference<Range>::type. range_value<Range>::type is the same as remove_reference<remove_const<Ref>::type>::type, range_difference<Range>::type is the same as std::ptrdiff_t, and range_pointer<Range>::type is the same as add_pointer<remove_reference<Ref>::type>::type. As for const Range, see const Ranges.
If the <boost/range/atl.hpp> is included before or after Boost.Range headers, the ATL collections and strings become models of Range. The table below lists the Traversal Category and range_reference of ATL ranges.
| Range | Traversal Category | range_reference<Range>::type |
|---|---|---|
| CAtlArray<E,ET> | Random Access | E& |
| CAutoPtrArray<E> | Random Access | E& |
| CInterfaceArray<I,pi> | Random Access | CComQIPtr<I,pi>& |
| CAtlList<E,ET> | Bidirectional | E& |
| CAutoPtrList<E> | Bidirectional | E& |
| CHeapPtrList<E,A> | Bidirectional | E& |
| CInterfaceList<I,pi> | Bidirectional | CComQIPtr<I,pi>& |
| CAtlMap<K,V,KT,VT> | Forward | Range::CPair& |
| CRBTree<K,V,KT,VT> | Bidirectional | Range::CPair& |
| CRBMap<K,V,KT,VT> | Bidirectional | Range::CPair& |
| CRBMultiMap<K,V,KT,VT> | Bidirectional | Range::CPair& |
| CSimpleStringT<B,b> | Random Access | B& |
| CStringT<B,ST> | Random Access | B& |
| CFixedStringT<S,n> | Random Access | range_reference<S>::type |
| CStringT<B,ST> | Random Access | B& |
| CComBSTR | Random Access | OLECHAR& |
| CSimpleArray<T,TE> | Random Access | T& |
Other Boost.Range metafunctions are defined by the following. Let Range be any type listed above and ReF be the same as range_reference<Range>::type. range_value<Range>::type is the same as remove_reference<Ref>::type, range_difference<Range>::type is the same as std::ptrdiff_t, and range_pointer<Range>::type is the same as add_pointer<remove_reference<Ref>::type>::type. As for const Range, see const Ranges.
range_reference<const Range>::type is defined by the following algorithm. Let Range be any type listed above and ReF be the same as range_reference<Range>::type.
if (Range is CObArray || Range is CObList) return CObject const * & else if (Range is CPtrArray || Range is CPtrList) return void const * & else if (there is a type X such that X& is the same as ReF) return X const & else if (there is a type X such that X* const is the same as ReF) return X const * const else return ReF
Other Boost.Range metafunctions are defined by the following. range_value<const Range>::type is the same as range_value<Range>::type, range_difference<const Range>::type is the same as std::ptrdiff_t, and range_pointer<const Range>::type is the same as add_pointer<remove_reference<range_reference<const Range>::type>::type>::type.


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