During the period of World Wars propaganda has been one of the main tools for manipulating public opinion. The content mainly covered militaristic activities, rasist and (anti)religious ideologies, education of the youth, freedom of speech and the ultimate power of totalitarian leaders.
Especially in Bolschevik Russia, propoganda had developed into a form of art, videly popular among local painters (notably Dadaists). The ideas then spread into Western Europe to serve local regimes. Commonly shared design concepts were predefined propoganda symbolism as well as similar (red, black, white) color schemes. Even if represented ideas were mainly designed to serve as weapons between Eastern and Western blocks, they shared same visual means of expressing ideologies.
In various parts of the world, also mainly due to international propaganda as well as local circumstances (Fascist repressions in France and Italy, Soviet occupations in Eastern Europe) the Super States and their regimes were regarded differently. E.g. The USSR which was welcomed as Europe’s saviour and the winner of the World War 2, is still considered as one of the biggest repressors in the East, where Nazis were actually expected to come and "liberate" countries from communist totalitarism.
Golden Frame Propaganda is an unpretentious conceptual reflection of how similar the ideologies and ways of mass control were independently of the differences between regimes.
It is only that Propaganda is never unpretentious.


Testing and Diagnostics
Diagnostic Operators
DESCRIBE
Returns the schema of a relation.
Syntax
|
DESCRIBE alias; |
Terms
|
alias |
The name of a relation. |
Usage
Use the DESCRIBE operator to view the schema of a relation. You can view outer relations as well as relations defined in a nested FOREACH statement.
Example
In this example a schema is specified using the AS clause. If all data conforms to the schema, Pig will use the assigned types.
A = LOAD 'student' AS (name:chararray, age:int, gpa:float); B = FILTER A BY name matches 'J.+'; C = GROUP B BY name; D = FOREACH C GENERATE COUNT(B.age); DESCRIBE A; A: {name: chararray,age: int,gpa: float} DESCRIBE B; B: {name: chararray,age: int,gpa: float} DESCRIBE C; C: {group: chararray,B: {(name: chararray,age: int,gpa: float)}} DESCRIBE D; D: {long}
In this example no schema is specified. All fields default to type bytearray or long (see Data Types).
a = LOAD 'student'; b = FILTER a BY $0 matches 'J.+'; c = GROUP b BY $0; d = FOREACH c GENERATE COUNT(b.$1); DESCRIBE a; Schema for a unknown. DESCRIBE b; 2008-12-05 01:17:15,316 [main] WARN org.apache.pig.PigServer - bytearray is implicitly cast to chararray under LORegexp Operator Schema for b unknown. DESCRIBE c; 2008-12-05 01:17:23,343 [main] WARN org.apache.pig.PigServer - bytearray is implicitly caste to chararray under LORegexp Operator c: {group: bytearray,b: {null}} DESCRIBE d; 2008-12-05 03:04:30,076 [main] WARN org.apache.pig.PigServer - bytearray is implicitly caste to chararray under LORegexp Operator d: {long}
This example shows how to view the schema of a nested relation using the :: operator.
A = LOAD 'studentab10k' AS (name, age, gpa); B = GROUP A BY name; C = FOREACH B { D = DISTINCT A.age; GENERATE COUNT(D), group;} DESCRIBE C::D; D: {age: bytearray}
DUMP
Dumps or displays results to screen.
Syntax
|
DUMP alias; |
Terms
|
alias |
The name of a relation. |
Usage
Use the DUMP operator to run (execute) Pig Latin statements and display the results to your screen. DUMP is meant for interactive mode; statements are executed immediately and the results are not saved (persisted). You can use DUMP as a debugging device to make sure that the results you are expecting are actually generated.
Note that production scripts SHOULD NOT use DUMP as it will disable multi-query optimizations and is likely to slow down execution (see Store vs. Dump).
Example
In this example a dump is performed after each statement.
A = LOAD 'student' AS (name:chararray, age:int, gpa:float); DUMP A; (John,18,4.0F) (Mary,19,3.7F) (Bill,20,3.9F) (Joe,22,3.8F) (Jill,20,4.0F) B = FILTER A BY name matches 'J.+'; DUMP B; (John,18,4.0F) (Joe,22,3.8F) (Jill,20,4.0F)
EXPLAIN
Displays execution plans.
Syntax
|
EXPLAIN [–script pigscript] [–out path] [–brief] [–dot] [-xml] [–param param_name = param_value] [–param_file file_name] alias; |
Terms
|
–script |
Use to specify a Pig script. |
|
–out |
Use to specify the output path (directory). Will generate a logical_plan[.txt|.dot], physical_plan[.text|.dot], exec_plan[.text|.dot] file in the specified path. Default (no path specified): Stdout |
|
–brief |
Does not expand nested plans (presenting a smaller graph for overview). |
|
–dot, -xml |
Text mode (default): multiple output (split) will be broken out in sections. Dot mode: outputs a format that can be passed to the dot utility for graphical display – will generate a directed-acyclic-graph (DAG) of the plans in any supported format (.gif, .jpg ...). Xml mode: outputs a xml which represent the plan (only logical plan is shown currently). |
|
–param param_name = param_value |
|
|
–param_file file_name |
|
|
alias |
The name of a relation. |
Usage
Use the EXPLAIN operator to review the logical, physical, and map reduce execution plans that are used to compute the specified relationship.
If no script is given:
-
The logical plan shows a pipeline of operators to be executed to build the relation. Type checking and backend-independent optimizations (such as applying filters early on) also apply.
-
The physical plan shows how the logical operators are translated to backend-specific physical operators. Some backend optimizations also apply.
-
The mapreduce plan shows how the physical operators are grouped into map reduce jobs.
If a script without an alias is specified, it will output the entire execution graph (logical, physical, or map reduce).
If a script with a alias is specified, it will output the plan for the given alias.
Example
In this example the EXPLAIN operator produces all three plans. (Note that only a portion of the output is shown in this example.)
A = LOAD 'student' AS (name:chararray, age:int, gpa:float); B = GROUP A BY name; C = FOREACH B GENERATE COUNT(A.age); EXPLAIN C; ----------------------------------------------- Logical Plan: ----------------------------------------------- Store xxx-Fri Dec 05 19:42:29 UTC 2008-23 Schema: {long} Type: Unknown | |---ForEach xxx-Fri Dec 05 19:42:29 UTC 2008-15 Schema: {long} Type: bag etc ... ----------------------------------------------- Physical Plan: ----------------------------------------------- Store(fakefile:org.apache.pig.builtin.PigStorage) - xxx-Fri Dec 05 19:42:29 UTC 2008-40 | |---New For Each(false)[bag] - xxx-Fri Dec 05 19:42:29 UTC 2008-39 | | | POUserFunc(org.apache.pig.builtin.COUNT)[long] - xxx-Fri Dec 05 etc ... -------------------------------------------------- | Map Reduce Plan ------------------------------------------------- MapReduce node xxx-Fri Dec 05 19:42:29 UTC 2008-41 Map Plan Local Rearrange[tuple]{chararray}(false) - xxx-Fri Dec 05 19:42:29 UTC 2008-34 | | | Project[chararray][0] - xxx-Fri Dec 05 19:42:29 UTC 2008-35 etc ... If you are running in Tez mode, Map Reduce Plan will be replaced with Tez Plan: #-------------------------------------------------- # There are 1 DAGs in the session #-------------------------------------------------- #-------------------------------------------------- # TEZ DAG plan: PigLatin:185.pig-0_scope-0 #-------------------------------------------------- Tez vertex scope-21 -> Tez vertex scope-22, Tez vertex scope-22 Tez vertex scope-21 # Plan on vertex B: Local Rearrange[tuple]{chararray}(false) - scope-35 -> scope-22 etc ...
ILLUSTRATE
Displays a step-by-step execution of a sequence of statements.
Syntax
|
ILLUSTRATE {alias | -script scriptfile}; |
Terms
|
alias |
The name of a relation. |
|
-script scriptfile |
The script keyword followed by the name of a Pig script (for example, myscript.pig). The script file should not contain an ILLUSTRATE statement. |
Usage
Use the ILLUSTRATE operator to review how data is transformed through a sequence of Pig Latin statements. ILLUSTRATE allows you to test your programs on small datasets and get faster turnaround times.
ILLUSTRATE is based on an example generator (see Generating Example Data for Dataflow Programs). The algorithm works by retrieving a small sample of the input data and then propagating this data through the pipeline. However, some operators, such as JOIN and FILTER, can eliminate tuples from the data - and this could result in no data following through the pipeline. To address this issue, the algorithm will automatically generate example data, in near real-time. Thus, you might see data propagating through the pipeline that was not found in the original input data, but this data changes nothing and ensures that you will be able to examine the semantics of your Pig Latin statements.
As shown in the examples below, you can use ILLUSTRATE to review a relation or an entire Pig script.
Example - Relation
This example demonstrates how to use ILLUSTRATE with a relation. Note that the LOAD statement must include a schema (the AS clause).
grunt> visits = LOAD 'visits.txt' AS (user:chararray, url:chararray, timestamp:chararray); grunt> DUMP visits; (Amy,yahoo.com,19990421) (Fred,harvard.edu,19991104) (Amy,cnn.com,20070218) (Frank,nba.com,20070305) (Fred,berkeley.edu,20071204) (Fred,stanford.edu,20071206) grunt> recent_visits = FILTER visits BY timestamp >= '20071201'; grunt> user_visits = GROUP recent_visits BY user; grunt> num_user_visits = FOREACH user_visits GENERATE group, COUNT(recent_visits); grunt> DUMP num_user_visits; (Fred,2) grunt> ILLUSTRATE num_user_visits; ------------------------------------------------------------------------ | visits | user: chararray | url: chararray | timestamp: chararray | ------------------------------------------------------------------------ | | Fred | berkeley.edu | 20071204 | | | Fred | stanford.edu | 20071206 | | | Frank | nba.com | 20070305 | ------------------------------------------------------------------------ ------------------------------------------------------------------------------- | recent_visits | user: chararray | url: chararray | timestamp: chararray | ------------------------------------------------------------------------------- | | Fred | berkeley.edu | 20071204 | | | Fred | stanford.edu | 20071206 | ------------------------------------------------------------------------------- ------------------------------------------------------------------------------------------------------------------ | user_visits | group: chararray | recent_visits: bag({user: chararray,url: chararray,timestamp: chararray}) | ------------------------------------------------------------------------------------------------------------------ | | Fred | {(Fred, berkeley.edu, 20071204), (Fred, stanford.edu, 20071206)} | ------------------------------------------------------------------------------------------------------------------ -------------------------------------------------- | num_user_visits | group: chararray | long | -------------------------------------------------- | | Fred | 2 | --------------------------------------------------
Example - Script
This example demonstrates how to use ILLUSTRATE with a Pig script. Note that the script itself should not contain an ILLUSTRATE statement.
grunt> cat visits.txt Amy yahoo.com 19990421 Fred harvard.edu 19991104 Amy cnn.com 20070218 Frank nba.com 20070305 Fred berkeley.edu 20071204 Fred stanford.edu 20071206 grunt> cat visits.pig visits = LOAD 'visits.txt' AS (user, url, timestamp); recent_visits = FILTER visits BY timestamp >= '20071201'; historical_visits = FILTER visits BY timestamp <= '20000101'; DUMP recent_visits; DUMP historical_visits; STORE recent_visits INTO 'recent'; STORE historical_visits INTO 'historical'; grunt> exec visits.pig (Fred,berkeley.edu,20071204) (Fred,stanford.edu,20071206) (Amy,yahoo.com,19990421) (Fred,harvard.edu,19991104) grunt> illustrate -script visits.pig ------------------------------------------------------------------------ | visits | user: bytearray | url: bytearray | timestamp: bytearray | ------------------------------------------------------------------------ | | Amy | yahoo.com | 19990421 | | | Fred | stanford.edu | 20071206 | ------------------------------------------------------------------------ ------------------------------------------------------------------------------- | recent_visits | user: bytearray | url: bytearray | timestamp: bytearray | ------------------------------------------------------------------------------- | | Fred | stanford.edu | 20071206 | ------------------------------------------------------------------------------- --------------------------------------------------------------------------------------- | Store : recent_visits | user: bytearray | url: bytearray | timestamp: bytearray | --------------------------------------------------------------------------------------- | | Fred | stanford.edu | 20071206 | --------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------- | historical_visits | user: bytearray | url: bytearray | timestamp: bytearray | ----------------------------------------------------------------------------------- | | Amy | yahoo.com | 19990421 | ----------------------------------------------------------------------------------- ------------------------------------------------------------------------------------------- | Store : historical_visits | user: bytearray | url: bytearray | timestamp: bytearray | ------------------------------------------------------------------------------------------- | | Amy | yahoo.com | 19990421 | -------------------------------------------------------------------------------------------
Pig Scripts and MapReduce Job IDs (MapReduce mode only)
Complex Pig scripts often generate many MapReduce jobs. To help you debug a script, Pig prints a summary of the execution that shows which relations (aliases) are mapped to each MapReduce job.
JobId Maps Reduces MaxMapTime MinMapTIme AvgMapTime MaxReduceTime MinReduceTime AvgReduceTime Alias Feature Outputs job_201004271216_12712 1 1 3 3 3 12 12 12 B,C GROUP_BY,COMBINER job_201004271216_12713 1 1 3 3 3 12 12 12 D SAMPLER job_201004271216_12714 1 1 3 3 3 12 12 12 D ORDER_BY,COMBINER hdfs://mymachine.com:9020/tmp/temp743703298/tmp-2019944040,
Pig Statistics
Pig Statistics is a framework for collecting and storing script-level statistics for Pig Latin. Characteristics of Pig Latin scripts and the resulting MapReduce jobs are collected while the script is executed. These statistics are then available for Pig users and tools using Pig (such as Oozie) to retrieve after the job is done.
The new Pig statistics and the existing Hadoop statistics can also be accessed via the Hadoop job history file (and job xml file).
Java API
Several new public classes make it easier for external tools such as Oozie to integrate with Pig statistics.
The Pig statistics are available here: http://pig.apache.org/docs/r0.17.0/api/
The stats classes are in the package: org.apache.pig.tools.pigstats
- PigStats
- SimplePigStats
- EmbeddedPigStats
- JobStats
- TezPigScriptStats
- TezDAGStats
- TezVertexStats
- OutputStats
- InputStats
The PigRunner class mimics the behavior of the Main class but gives users a statistics object back. Optionally, you can call the API with an implementation of progress listener which will be invoked by Pig runtime during the execution.
package org.apache.pig; public abstract class PigRunner { public static PigStats run(String[] args, PigProgressNotificationListener listener) } public interface PigProgressNotificationListener extends java.util.EventListener { // just before the launch of MR jobs for the script public void LaunchStartedNotification(int numJobsToLaunch); // number of jobs submitted in a batch public void jobsSubmittedNotification(int numJobsSubmitted); // a job is started public void jobStartedNotification(String assignedJobId); // a job is completed successfully public void jobFinishedNotification(JobStats jobStats); // a job is failed public void jobFailedNotification(JobStats jobStats); // a user output is completed successfully public void outputCompletedNotification(OutputStats outputStats); // updates the progress as percentage public void progressUpdatedNotification(int progress); // the script execution is done public void launchCompletedNotification(int numJobsSucceeded); }
Depends on the type of the pig script, PigRunner.run() returns a particular subclass of PigStats: SimplePigStats(MapReduce/local mode), TezPigScriptStats(Tez/Tez local mode) or EmbeddedPigStats(embedded script). SimplePigStats contains a map of JobStats which capture the stats for each MapReduce job of the Pig script. TezPigScriptStats contains a map of TezDAGStats which capture the stats for each Tez DAG of the Pig script, and TezDAGStats contains a map of TezVertexStats which capture the stats for each vertex within the Tez DAG. Depending on the execution type, EmbeddedPigStats contains a map of SimplePigStats or TezPigScriptStats, which captures the Pig job launched in the embeded script.
If one is running Pig in Tez mode (or both Tez/MapReduce mode), should pass PigTezProgressNotificationListener which extends PigProgressNotificationListener to PigRunner.run() to make sure to get notification in both Tez mode or MapReduce mode.
Job XML
The following entries are included in job conf:
Pig Progress Notification Listener
Pig provides the ability to register a listener to receive event notifications during the execution of a script. Events include MapReduce plan creation, script launch, script progress, script completion, job submit, job start, job completion and job failure.
To register a listener, set the pig.notification.listener parameter to the fully qualified class name of an implementation of org.apache.pig.tools.pigstats.PigProgressNotificationListener. The class must exist on the classpath of the process submitting the Pig job. If the pig.notification.listener.arg parameter is set, the value will be passed to a constructor of the implementing class that takes a single String.
PigUnit
PigUnit is a simple xUnit framework that enables you to easily test your Pig scripts. With PigUnit you can perform unit testing, regression testing, and rapid prototyping. No cluster set up is required if you run Pig in local mode.
Build PigUnit
To compile PigUnit run the command shown below from the Pig trunk. The compile will create the pigunit.jar file.
$pig_trunk ant pigunit-jar
Run PigUnit
You can run PigUnit using Pig's local mode or mapreduce mode.
Local Mode
PigUnit runs in Pig's local mode by default. Local mode is fast and enables you to use your local file system as the HDFS cluster. Local mode does not require a real cluster but a new local one is created each time.
Other Modes
PigUnit also runs in Pig's mapreduce/tez/tez_local mode. Mapreduce/Tez mode requires you to use a Hadoop cluster and HDFS installation. It is enabled when the Java system property pigunit.exectype is set to specific values (mr/tez/tez_local): e.g. -Dpigunit.exectype=mr or System.getProperties().setProperty("pigunit.exectype", "mr"), which means PigUnit will run in mr mode. The cluster you select to run mr/tez test must be specified in the CLASSPATH (similar to the HADOOP_CONF_DIR variable).
PigUnit Example
Many PigUnit examples are available in the PigUnit tests.
The example included here computes the top N of the most common queries. The Pig script, top_queries.pig, is similar to the Query Phrase Popularity in the Pig tutorial. It expects an input a file of queries and a parameter n (n is 2 in our case in order to do a top 2).
Setting up a test for this script is easy because the argument and the input data are specified by two text arrays. It is the same for the expected output of the script that will be compared to the actual result of the execution of the Pig script.
Java Test
@Test public void testTop2Queries() { String[] args = { "n=2", }; PigTest test = new PigTest("top_queries.pig", args); String[] input = { "yahoo", "yahoo", "yahoo", "twitter", "facebook", "facebook", "linkedin", }; String[] output = { "(yahoo,3)", "(facebook,2)", }; test.assertOutput("data", input, "queries_limit", output); }
top_queries.pig
data = LOAD 'input' AS (query:CHARARRAY); queries_group = GROUP data BY query; queries_count = FOREACH queries_group GENERATE group AS query, COUNT(data) AS total; queries_ordered = ORDER queries_count BY total DESC, query; queries_limit = LIMIT queries_ordered $n; STORE queries_limit INTO 'output';
Run
The test can be executed by JUnit (or any other Java testing framework). It requires:
- pig.jar
- pigunit.jar
The test takes about 25s to run and should pass. In case of error (for example change the parameter n to n=3), the diff of output is displayed:
junit.framework.ComparisonFailure: null expected:<...ahoo,3) (facebook,2)[]> but was:<...ahoo,3) (facebook,2)[ (linkedin,1)]> at junit.framework.Assert.assertEquals(Assert.java:81) at junit.framework.Assert.assertEquals(Assert.java:87) at org.apache.pig.pigunit.PigTest.assertEquals(PigTest.java:272)
Mocking
Sometimes you need to mock out the data in specific aliases. Using PigTest's mocking you can override an alias everywhere it is assigned. If you do not know the schema (or want to keep your test dynamic) you can use PigTest.getAliasToSchemaMap() to determine the schema. If you chose to go this route, you should cache the map for the specific script to ensure efficient execution.
@Test public void testTop2Queries() { String[] args = { "n=2", }; PigTest test = new PigTest("top_queries.pig", args); String[] mockData = { "yahoo", "yahoo", "yahoo", "twitter", "facebook", "facebook", "linkedin", }; //You should cache the map if you can String schema = test.getAliasToSchemaMap().get("data"); test.mockAlias("data", mockData, schema); String[] output = { "(yahoo,3)", "(facebook,2)", }; test.assertOutputAnyOrder("queries_limit", output); }
Troubleshooting Tips
Common problems you may encounter are discussed below.
Classpath in Mapreduce Mode
When using PigUnit in mapreduce mode, be sure to include the $HADOOP_CONF_DIR of the cluster in your CLASSPATH.
MiniCluster generates one in build/classes.
org.apache.pig.backend.executionengine.ExecException: ERROR 4010: Cannot find hadoop configurations in classpath (neither hadoop-site.xml nor core-site.xml was found in the classpath). If you plan to use local mode, please put -x local option in command line
UDF jars Not Found
This error means that you are missing some jars in your test environment.
WARN util.JarManager: Couldn't find the jar for org.apache.pig.piggybank.evaluation.string.LOWER, skip it
Storing Data
Pig currently drops all STORE and DUMP commands. You can tell PigUnit to keep the commands and execute the script:
test = new PigTest(PIG_SCRIPT, args); test.unoverride("STORE"); test.runScript();
Cache Archive
For cache archive to work, your test environment needs to have the cache archive options specified by Java properties or in an additional XML configuration in its CLASSPATH.
If you use a local cluster, you need to set the required environment variables before starting it:
export LD_LIBRARY_PATH=/home/path/to/lib
Future Enhancements
Improvements and other components based on PigUnit that could be built later.
For example, we could build a PigTestCase and PigTestSuite on top of PigTest to:
- Add the notion of workspaces for each test.
- Remove the boiler plate code appearing when there is more than one test methods.
- Add a standalone utility that reads test configurations and generates a test report.


The following function replaces the three functions MPI_TYPE_UB, MPI_TYPE_LB and MPI_TYPE_EXTENT. It also returns address sized integers, in the Fortran binding. The use of MPI_TYPE_UB, MPI_TYPE_LB and MPI_TYPE_EXTENT is deprecated.
| MPI_TYPE_GET_EXTENT(datatype, lb, extent) | |
| IN datatype | datatype to get information on (handle) |
| OUT lb | lower bound of datatype (integer) |
| OUT extent | extent of datatype (integer) |
int MPI_Type_get_extent(MPI_Datatype datatype, MPI_Aint *lb, MPI_Aint *extent)
MPI_TYPE_GET_EXTENT(DATATYPE, LB, EXTENT, IERROR)
INTEGER DATATYPE, IERROR
INTEGER(KIND = MPI_ADDRESS_KIND) LB, EXTENT
void MPI::Datatype::Get_extent(MPI::Aint& lb, MPI::Aint& extent) const
Returns the lower bound and the extent of datatype (as defined by the MPI-1 standard, Section 3.12.2).
MPI allows one to change the extent of a datatype, using lower bound and upper bound markers ( MPI_LB and MPI_UB). This is useful, as it allows to control the stride of successive datatypes that are replicated by datatype constructors, or are replicated by the count argument in a send or recieve call. However, the current mechanism for achieving it is painful; also it is restrictive. MPI_LB and MPI_UB are ``sticky'': once present in a datatype, they cannot be overridden (e.g., the upper bound can be moved up, by adding a new MPI_UB marker, but cannot be moved down below an existing MPI_UB marker). A new type constructor is provided to facilitate these changes. The use of MPI_LB and MPI_UB is deprecated.
| MPI_TYPE_CREATE_RESIZED(oldtype, lb, extent, newtype) | |
| IN oldtype | input datatype (handle) |
| IN lb | new lower bound of datatype (integer) |
| IN extent | new extent of datatype (integer) |
| OUT newtype | output datatype (handle) |
int MPI_Type_create_resized(MPI_Datatype oldtype, MPI_Aint lb, MPI_Aint extent, MPI_Datatype *newtype)
MPI_TYPE_CREATE_RESIZED(OLDTYPE, LB, EXTENT, NEWTYPE, IERROR)
INTEGER OLDTYPE, NEWTYPE, IERROR
INTEGER(KIND=MPI_ADDRESS_KIND) LB, EXTENT
MPI::Datatype MPI::Datatype::Resized(const MPI::Aint lb, const MPI::Aint extent) const
Returns in newtype a handle to a new datatype that is identical to oldtype, except that the lower bound of this new datatype is set to be lb, and its upper bound is set to be lb + extent. Any previous lb and ub markers are erased, and a new pair of lower bound and upper bound markers are put in the positions indicated by the lb and extent arguments. This affects the behavior of the datatype when used in communication operations, with count >1, and when used in the construction of new derived datatypes.
Advice to users.
It is strongly recommended that users use these two new functions,
rather than the old MPI-1 functions to set and access lower bound, upper
bound and extent of datatypes.
( End of advice to users.)


EBD - Easton Bible DIctionary
Apphia
APPHIA
"APPHIA "increasing, a female Christian at Colosse (
Philemon 1:2
), supposed by some to have been the wife of Philemon.
"APPHIA "increasing, a female Christian at Colosse (Philemon 1:2), supposed by some to have been the wife of Philemon.


To Child
assertions
mapping by formatting
Relative Link without fragment:
to_parent.html
Relative Link with fragment:
“Target of Anchor” in to_sibling.html
mapping by OtherExtensionMap
Relative Link:
A.txt
Relative Image Link (A):
Target of Anchor
to_child


The geoapi-conformance
module provides validators, a JUnit test suite, and report generators
in the form of HTML pages.
This module may be used with any GeoAPI implementation.
For developers of a geospatial library, it offers the following advantages:
geoapi-conformance
has its own test suite and is applied to other implementations.GeoAPI can validate an instance of its interfaces by checking that certain constraints are observed. Many constraints can not be expressed in the method signature. Those constraints are usually described textually in the abstract specifications or in the javadoc.
Example:
A coordinate conversion or transformation (CC_CoordinateOperation
) may require a sequence of several steps.
In such a sequence of operations (CC_ConcatenatedOperation
), for each step (CC_SingleOperation
)
the number of output dimensions must equal the number of input dimensions in the next operation.
Expressed in Java, this constraint stipulates that for the entire index 0 < i < n where n
is the number of operations, we have coordOperation[i].targetDimensions == coordOperation[i-1].sourceDimensions
.
The easiest way to perform these verifications is to call the static methods validate(…)
of the org.opengis.test.Validators
class.
As all of Validators
methods bear the same name, it is enough to write “validate(value)
”
and then let the compiler choose the most appropriate method for the type of object given in argument.
If the object type is not known at the time of compilation,
the dispatch(Object)
method can be invoked for redirecting the work to the most appropriate validate(…)
method.
All validate(…)
functions follow a chain of dependencies,
meaning that they will also validate each component of the object to be validated.
For example, the validation of a GeographicCRS
implies the validation of its component
GeodeticDatum
, which itself implies the validation of its component Ellipsoid
, and so on.
Thus it is unnecessary to validate the components explicitely, unless the developer wishes to isolate the test for a particular item known to cause problems.
By default, validations are as strict as possible. It is always possible to relax certain rules. The most common is to tolerate the absence of attributes that would normally be mandatory. This rule and a few others may be modified globally for all tests executed by the currently running JVM, as in the following example:
import org.opengis.metadata.Metadata;
import org.opengis.test.Validators;
import org.junit.Test;
public class MyTest {
/*
* Tolerate the absence of mandatory attributes in metadata and citation packages.
* This modification applies to all tests executed by the currently running JVM.
* If there are multiple test classes, this initialization may be performed
* in a parent class to all test classes.
*/
static {
Validators.DEFAULT.metadata.requireMandatoryAttributes
= false;
Validators.DEFAULT.citation.requireMandatoryAttributes
= false;
}
@Test
public void testMyMetadata() {
Metadata myObject = …; // Create an object here.
Validators.validate
(myObject);
}
}
Rules may also be modified for a particular test suite without affecting the default configuration of the standard JVM. This approach requires the creation of a new instance of the validator that we wish to modify the configuration.
import org.opengis.metadata.Metadata;
import org.opengis.test.ValidatorContainer;
import org.junit.Test;
public class MyTest {
private final ValidatorContainer validators;
public MyTest() {
validators = new ValidatorContainer();
validators.metadata.requireMandatoryAttributes
= false;
validators.citation.requireMandatoryAttributes
= false;
}
@Test
public void testMyMetadata() {
Metadata myObject = …; // Create an object here.
validators.validate
(myObject);
}
}
JUnit tests are defined in the org.opengis.test
sub-packages.
All test classes bear a name ending in "Test
".
GeoAPI also provides an org.opengis.test.TestSuite
class including all test classes defined in the
geoapi-conformance
module, but Apache SIS does not use it.
Instead, Apache SIS inherits GeoAPI’s *Test
classes on a case-by-case basis,
in the appropriate modules.
The example below gives an example of a customized GeoAPI test:
The parent test javadoc
documents the tests performed in detail.
In this example, only one test is modified and all the others are inherited as they are (it is not necessary to repeat them in the sub-class).
However, this example adds a supplemental verification, annotated with @After
, which will be executed after each test.
import org.junit.*;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;
import org.opengis.test.referencing.ParameterizedTransformTest;
import static org.junit.Assert.*;
@RunWith(JUnit4.class)
public class MyTest extends ParameterizedTransformTest {
/**
* Specify our own coordinate transformation factory for the GeoAPI tests.
* GeoAPI will test the objects created by this factory.
*/
public MyTest() {
super(new MyMathTransformFactory());
}
/**
* Changes the behaviour of a test. This example relaxes the requirements of this test a little,
* by accepting errors of up to 10 centimetres, rather than the default value of 1 cm.
* This change only applies to this method, and does not affect the other inherited tests.
*/
@Test
@Override
public void testLambertAzimuthalEqualArea() throws FactoryException, TransformException {
tolerance
= 0.1; // 10 cm tolerance.
super.testLambertAzimuthalEqualArea()
;
}
/**
* Supplemental verification performed after each test, inherited or not.
* In this example, we are verifying that the transformation tested
* works correctly in two-dimensional spaces.
*/
@After
public void ensureAllTransformAreMath2D() {
assertTrue(transform
instanceof MathTransform2D);
}
}


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Dietary
For the bhajis, place the vegetable oil into a deep, heavy-based saucepan and heat until a small cube of bread sizzles and turns golden-brown when dropped into it. (CAUTION: hot oil can be dangerous. Do not leave unattended.) Alternatively, preheat a deep fat fryer to 190C/375F.
Place the cumin, coriander, cardamom and mustard seeds, dried chillies and salt into a pestle and mortar and grind to a coarse powder.
Place the spice mixture into a bowl along with the sliced onion and gram flour and mix thoroughly to combine.
Add the lemon juice and water and mix to form a very sticky batter. Add the fresh coriander and a pinch of freshly ground black pepper and stir well.
Carefully drop spoonfuls of the batter into the hot oil and deep fry for 2-3 minutes, or until golden-brown and crisp. Remove from the oil with a slotted spoon and drain on kitchen paper.
For the mango chutney, heat a frying pan until hot. Place all the spices into the dry pan and toast for 30 seconds, shaking the pan frequently, until the mustard seeds start to pop.
Add the mangoes and cook for a further minute.
Add the sugar and cook until dissolved, then add the vinegar. Cover the pan and simmer for 25 minutes, or until the mixture has thickened and the mango has broken down. Remove from the heat and allow to cool slightly.
Place half the chutney into a food processor and blend to a purée, then return to the pan and mix to combine.
Pour the chutney into sterilized jars and leave to cool.
To serve, divide the bhajis among four serving plates and serve with lemon wedges and a dollop of mango chutney.


Block Atlas
Space used in blocks by standard transaction normalized fees
Horizontal: percent of space used by fee level. Vertical: fee bid level depth. Fees represent median transaction size total cost.
Block 325999
70% Full
93% Static Fee
$0.00
$0.00
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$0.09
Block 325869
15% Full
90% Static Fee
$0.00
$0.00
$0.01
$0.02
$0.03
$0.04
Block 325806
26% Full
96% Static Fee
$0.00
$0.00
$0.01
$0.02
$0.03
$0.04
$0.06


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GEESE DANCING--GUISE DANCING-- GUIZARDS
"THE doings of the guizards--that is, masquers--form a conspicuous feature in the New Year's proceedings throughout Scotland. The evenings on which these personages are understood to be privileged to appear are those of Christmas, Hogmanay, New Year's day, and Handsel Monday. Such boys as can pretend to anything like a voice have, for weeks before, been thumbing the collection of excellent new songs which lies hike a bunch of rags in the window-sole; and being now able to screech up 'Barbara Allan,' or the 'Wee cot-house and the wee kail-yardie,' they determine upon enacting the part of guizards. For this purpose they don old shirts belonging to their fathers, and mount casques of brown paper, shaped so like a mitre, that I am tempted to believe them to be borrowed from the Abbot of Unreason; attached to this is a sheet of the same paper, which, falling down in front, covers and conceals the whole face, except where holes are made to let through the point of the nose, and afford sight to the eyes and breath to the mouth. Each vocal guizard is, like a knight of old, attended by a kind of humble squire, who assumes the habiliments of a girl, with an old woman's cap and a broomstick, and is styled 'Bessie.' Bessie is equal in no respects, except that she shares fairly in the proceeds of the enterprise. She goes before her principal, opens all the doors at which he pleases to exert his singing powers, and busies herself during the time of the song in sweeping the floor with her broomstick, or in playing any other antics that she thinks may amuse the indwellers. The common reward of this entertainment is a halfpenny; but many churlish persons fall upon the unfortunate guizards and beat them out of the house. Let such persons, however, keep a good watch over their cabbage-gardens next Hallowe'en.
.
"The more important of the guizards are of a theatrical character. There is one rude and grotesque drama which they are accustomed to perform on each of the four above-mentioned nights, and which, in various fragments or versions, exists in every part of Lowland Scotland. The per. formers, who are never less than three, but sometimes as many as six, having dressed themselves, proceed in a band from house to house, generally contenting themselves with the kitchen for an arena, whither, in mansions presided over by the spirit of good-humour, the whole family will resort to witness the spectacle. Sir Walter Scott, who delighted to keep up old customs, and could condescend to simple things without losing genuine dignity, invariably had a set of guizards to perform this play before his family both at Ashiestiel and Abbotsford. The editor has with some difficulty obtained what appears a tolerably complete copy." [a]
"GOOSE-DANCING."
"OF late years, at this season, in the Islands of Scilly, the young people exercise a sort of gallantry called 'goose-dancing.' The maidens are dressed up for young men, and the young men for maidens; and thus disguised, they visit their neighbours in companies, where they dance and make jokes upon what has happened in the island, and every one is humorously 'told their own,' without offence being taken. By this sort of sport, according to yearly custom and toleration, there is a spirit of wit and drollery kept up among the people. The music and dancing done, they are treated with liquor, and then they go to the next house of entertainment." [b]
This custom was by no means confined to the Islands of Scilly. In nearly every town and large village in Cornwall, geese-dancing,--not goose-dancing,--formed one of the Christmas entertainments. The term was applied to the old Christmas plays, and indeed to any kind of sport in which characters were assumed by the performers, or disguises worn.
It should be noted that these sports are never- termed goose, but always geese or guise dancing.


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It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
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There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum, you need to be sure there isn't anything embarrassing hidden in the middle of text. All the Lorem Ipsum generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet. It uses a dictionary of over 200 Latin words, combined with a handful of model sentence structures, to generate Lorem Ipsum which looks reasonable. The generated Lorem Ipsum is therefore always free from repetition, injected humour, or non-characteristic words etc.
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C
ontrary to popular belief, Lorem Ipsum is not simply random text.  Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of the word in classical literature, discovered the undoubtable source. Lorem Ipsum comes from sections 1.10.32 and 1.10.33 of "de Finibus Bonorum et Malorum" (The Extremes of Good and Evil) by Cicero, written in 45 BC. This book is a treatise on the theory of ethics, very popular during the Renaissance. The first line of Lorem Ipsum, "Lorem ipsum dolor sit amet..", comes from a line in section 1.10.32.


--- company: "Locafox GmbH" location: "Berlin, Germany" title: "Senior Backend Engineer" started: "2016" duration: "08.2016 - 01.2019" website: "https://www.locafox.de/" keywords: "nodejs, mocha, chai, istanbul, express, architecture design, mysql, aws emr, aws s3, aws kinesis, aws dynamo, aws athena, aws cloudwatch, aws lambda, aws rds, elastic search, jenkins, jira, trello, git" description: "Locafox is an omnichannel advertising service for products as well as a digital sale system, so-called POS, for small and medium-sized retailers. Through such products and services, local retailers are introduced to smart online tools, being fostered in competition with online marketplaces." skills: - javascript: name: "Node.js" share: "50%" - storage: name: "MySQL, Athena, Dynamo, Elasticsearch, S3 (Data Storage)" share: "30%" - devops: name: "Deployment, Scripts, Server/Service configuration and tuning" share: "20%" - aws: name: "Amazon Web Services" share: "100%" - microservices: name: "Microservices" share: "60%" - legacy: name: "Legacy" share: "20%" - centralized: name: "Centralized servers" share: "20%" - ad: name: "Architectural and Solution Design" share: "30%" - ttd: name: "Testing Automation and New Development" share: "20%" - po: name: "Maintenance and Technical Debt" share: "50%" languages: - "English" - "German" --- Locafox is an omnichannel advertising service for products as well as a digital sale system, so-called POS, for small and medium-sized retailers. Through such products and services, local retailers are introduced to smart online tools, being fostered in competition with online marketplaces. As a Senior Backend Software Engineer the responsibilities are:


--- title: Road and town map description: Proposed road and town map implemented in Google Maps img: prop_road_town.jpg layout: map type: proposed application: Google Maps base_layer: Google Maps layer: KML + CSV as JSON purpose: Present the roads and towns on the island. ---


The Big Parade (1925)
Grade: 60
"The Big Parade" is a silent film about an American soldier's involvement in World War I. There are some chilling depictions of trench warfare, but for the most part, the film is part romance and part comedy, and lacks the focus and intensity that is necessary for a great film.
 Under pressure from Bosworth and sweetheart Claire Adams, Gilbert volunteers for the Army. Gilbert is sent to France to fight World War I. There, he becomes friends with two comic-relief soldiers (Tom O'Brien and Karl Dane), and romances Rene Adore. The soldiers are sent to the front, where they performs heroic deeds while under fire from fortified German positions.
"The Big Parade" has several problems. The most obvious is a lack of focus: at first the film appears to a comedy, as Gilbert has various misadventures in France with Dane and O'Brien. After Gilbert wooes Adore, the film has become a love story. Gilbert gets to prove his manhood in the trenches, and "The Big Parade" becomes a war movie. Finally, it becomes a love story again.
"The Big Parade" works best as a war movie. Trench warfare is credibly depicted as grisly and monotonous. Still, the battle scenes lack the scale and impact found in later films such as "All Quiet on The Western Front", and are handicapped by a desire to portray the American soldiers as valiant heroes.
The film partly succeeds as a comedy. The scenes with Gilbert trying to move a barrel work, and Dane in particular is a good comic actor. Other scenes aren't as effective, such as the three soldiers making moves on a protesting, but stationary Adore.
"The Big Parade" is weakest as a soap opera. The characters lack definition, and appear to change personalities to suit the story. Bosworth is the very stereotype of a successful but overly stern family patriarch. Gilbert makes an immediate and easy transition from smug idler to innocent soldier. Adore does not appear to be deeply in love with Gilbert, until her laughably dramatic parting from him as he leaves for the front.
"The Big Parade" was a commercial and critical success, and made John Gilbert a star. His career faded with the arrival of talkies. Gilbert and co-star Adore both died in their thirties. The Director, King Vidor, had a lengthy and successful career, picking up five Oscar nominations along the way.
<EMAIL_ADDRESS>http://members.tripod.com/~Brian_Koller/movies.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


MKCreditsFooterView Class Reference
| Inherits from | UIView |
| Declared in | MKCreditsViewContoller.h |
Overview
MKCreditsFooterView provides the footerView for the MKCreditsViewContoller class. You should not need to use this directly.
Tasks
Components
-
titleLabel
The UILable object that displayes the credits title -
descriptionText
The UITextView that displayes the description of the credit -
actionButton
The UIButton that used to send an email.Optional
Instance Methods
-
- removeButton
Removes the UIButton if one is present
Instance Methods
Properties
actionButton
The UIButton that used to send an email. Optional
@property (nonatomic, retain) UIButton *actionButton
Declared In
MKCreditsViewContoller.h


{% extends "webclient/_logged_base.html" %} {% set title=gettext("My Experiments") %} {% block styles %} {{ super() }} {% endblock %} {% block body %} {{ super() }}
{{ gettext(" No experiments are available which match the current filters. You might want to change the filters. If after changing the filters the experiment you seek still does not seem to be available, you may need to request access to your teacher, laboratory provider or Weblab administrator. ") }}


The examples below show off various features of the iButton widget and provide you with the source code to duplicate the functionality on your own web page. We also recommend you sample the keyboard compatibility by tabbing through the elements and use the spacebar to toggle checbox elements and the arrow keys to select the radio elements.
This shows off the most simple form of the iButton. The buttons below are based purely on the attributes of the checkbox elements.

You can also utilize the jQuery Metadata Plug-in to change the options on each element individually:

Yes/no label
<input type="checkbox" id="ex03" class="{labelOn: 'Yes', labelOff: 'No'}" />

True/false label
<input type="checkbox" id="ex04" class="{labelOn: 'True', labelOff: 'False', easing: 'easeOutBounce', duration:
500}" />
(with easeOutBounce easing animation)

The iButton plug-in API methods are also easy to use. The API allows you to do things such as changing the value of the element, disabling the element and remove the iButton widget to restore the checkbox to it's original HTML.

Below is an example of attaching the iButton behavior to a group of radio buttons. Only one of the options can be checked at a time. While this UI construct works best for checkbox elements (since the state is either true or false) radio buttons can be handle if you want the user to be able to select only one option from a list.

Below is an example of attaching the iButton behavior to a group of radio buttons. Only one of the options can be checked at a time. While this UI construct works best for checkbox elements (since the state is either true or false) radio buttons can be handle if you want the user to be able to select only one option from a list.

You can also use CSS to control the look and feel of the iButton. Below we've used CSS to make a wide button with a narrow handle.

You can also use long and short labels paired together.

Events allow you to expand the functionality of the plug-in by performing additional tasks when certain events are fired. Below the change event is used to update text based on the value of the checkbox.


Use CTRL-Z to undo actions on this page, CTRL-Y to redo actions
Toggle: #1 #2 #3 #4 #5 #6
Toggle Slide: #1 #2 #3 #4 #5 #6


Wait for your device to be loaded into the dropdown box in the upper-right area. If you click the blue globe button too quick before it's loaded, there's a slim chance ut'll cause the feed viewer to fail to load.
Connect to the internet. This problem typically only happens when internet access is unavailable for WOSQI.
If you're unable to connect to the internet due to a proxy, information on how to use WOSQI with a proxy can be found in the Advanced features section of this app.


Get rid of your trash
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Copy transaction ID after payment
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Established In 2016, Along With Its Parent Company Scientific International Pvt. Ltd., Established In 1993, Are The Leading Electronic Information Solutions Provider In India & Its Subcontinent.
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Choose up tofive falling creatures within range. A falling creature's rate of descent slows to 60 feet per round until the spell ends. If the creature lands before the spell ends, it takes nofalling damage and can land on its feet, and the spell ends for that creature.


It's recommended to read the VTP website regarding Coordinate Systems and Map Projections.
Technically speaking, what VTBuilder refers to as a "projection" is actually a "coordinate reference system", or CRS for short. However, since a great may CRS are projected, it is a common colloquial usage to refer to a CRS as a projection.
This dialog is displayed on the menu items View: Set or Convert Projection, and also when VTBuilder needs to ask you for a CRS, such as when importing a file which lacks a CRS.
There are several fields which define a CRS, which are displayed in the dialog:
- Projection
- This can be either Geographic (longitude-latitude, not projected) or any of several styles of projection, such as Transverse Mercator or Lambert Conformal Conic.
- Datum
- You can choose from a short list of commonly-used Datums, or click "Show All Datums" to select from a long list of more unusual Datums.
- Horizontal Units
- This is always Degrees for a Geographic CRS. For most projections, it can be Meters, Feet, or US Survey Feet. For the Dymaxion Projection, this value is always Unit Edges (1.0 = length of a projected face edge)
- Zone
- Certain projections, such as UTM, can be specified quickly with a Zone number.
- Parameters
- If your projection is unusual (not common, like UTM), then you may have to manually enter the parameters. To edit them, select any value then right-click it to supply a new value.
There are also some commands to make specifying projections easier:
- Set State Plane Projection
- If you know that your CRS is a U.S. State Plane CS, then you can use this command to specify it, and the parameters will be automatically supplied.
- Load / Save to File
- It is often convenient to define a projection once, then recall it easily later. These commands will save and load the current projection to a standard projection file (.prj) which contains a Well-Known-Text representation of the CRS.


THERE'S SOMETHING ABOUT MARY (director/writer: Peter and Bobby Farrelly; screenwriter: Ed Decter/John J. Strauss; cinematographer: Mark Irwin; cast: Ben Stiller (Ted), Cameron Diaz (Mary), Matt Dillon (Healy), Chris Elliott (Dom), Lin Shaye (Magda), Lee Evans (Tucker), Jeffrey Tambor (Sully), W. Earl Brown (Warren), Markie Post (Mary's Mom), Keith David (Mary's Stepfather), Jonathan Richman (Singer), Brett Favre (Brett), 1998)
Reviewed by Dennis Schwartz
There's Something About Mary is a very funny film; it makes the most out of being politically incorrect, profane, obnoxious, and settling for an unsophististicated juvenile humor to tide itself over while the romantic side of its tale fizzles. It makes fun of the retarded, abuses a pet dog to a point of near death, and makes no apology for being so crude. There are many other things that the film does wrong, but the bottom line is that it is funny in a way that is not mean-spirited. If the film could be faulted, it is because it runs too long and seemed sluggish at times, and the romantic tale was pointless.
It starts in Rhode Island, 1985, when the teenage sad sack, Ted Stroehmann (Ben Stiller), is looking for a date to the prom after being cruelly rejected by a calculating co-ed.  But his prom date turns out to be a disaster.  Ted then excuses himself to go to the bathroom and is staring at two birds by the window, when they fly away he is spotted by Mary as she is undressing and she thinks he is scoping her. Ted is startled to see her look of disgust and catches himself in his zipper, which results in a hilarious bit, where he is taken to the hospital and misses the prom. It is funny because it is so grossly done that, at first, it is hard to believe how far this tasteless gag is going, but it is taken to the hilt, as the police and fire departments arrive and the neighborhood gets to see an unusual occurrence, it even ends with the showing of the wounded private part.
It is now 13 years later in Rhode Island and Ted is a lonely writer, telling his slimy friend Dom (Chris Elliott) that he hasn't seen the one girl he loves in all that time, only knowing that she moved to Miami Beach. Dom talks him into getting a private eye who works in his place to go down there and see if he can locate her for him. The sleazy investigator, Pat Healy (Matt Dillon), finds Mary in Miami and falls for her, so much so, that he quits his job in Rhode Island and moves to Miami to romance her. To find out what she's like and what's she looking for in a guy, he eavesdrops on her conversations, using a hidden microphone and thusly sets himself up to become her dream man. That will become the running gag for the remainder of the movie.
Ted is able to find out that the private detective lied to him about Mary and decides to drive down there by himself to see her. When he picks up a weirdo hitchhiker and can't take his rap anymore stopping by the road in South Carolina to relieve himself, he stumbles upon a homosexual orgy and is arrested on a live TV program, which his friend Dom sees. He will go down there to help Ted, who is now being charged with not only indecent exposure but of being a serial murderer, as the hitchhiker fled the car leaving his bag with chopped up body parts on the front seat. But he is soon cleared of the charges and ends up in Miami with Dom.
There are some more phony admirers of Mary, led by the deceptive Tucker (Lee Evans), who acts as a crippled architect, befriending the very naive Mary and by duplicitous means getting rid of the boys she's interested in. The combination of these three suitors--the sincere nerd, Ted, and the pencil-thin mustached private eye charlatan, and the limber scoundrel Tucker-- all play well off each other. Football player Brett Favre also gets into the game as a suitor of Mary, and there are a few other twists in the story which are so-so funny.

This raunchy comedy, created by the Farrelly brothers, who gave us Dumb and Dumber and Kingpin, is a winner only for those who don't mind being grossed out. I must confess, I laughed a lot during the film, but I wasn't completely won over with so much comedy that depended on making fun of someone else's problems. It made the romantic part of the romantic/comedy seem unneeded... . As a nice added touch, the film had a singing troubadour, Jonathan Richman, appearing throughout the film in various settings to sing about Mary and what makes her so special.
REVIEWED ON 9/23/99 GRADE: C+
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Dear lovely one, I hope this mail we meet you in good Health and happiness. I am 22 years old lady now, i was born on the 1 of january 1984.to the family of Nuhan Vaye.and my father name is Isaac Nuhan Vaye, he is a very wealthy gold and cocoa merchant who based in Liberia and ABIDJAN respectively, and my mothers name is Sheila.and I am their only child.well when i was a kid i went to a private schools and things were going on well for me and my parents till when i was in high school when my mother died on the 21ST october 1994 , My father took me so special because i am motherless. and he shower all his love on me and promised me that he will never have another woman because he did not want me for any problem. but Since my father dead last year i fine it had to live in Abijan because of some of his business partner that was after my life that was why i fund my way to senegal and before the death of my father on the 12th December 2004 in a private hospital in Abidjan. He called me secretly to his bed side and told me that he kept a sum of $5.200 000 (Five million two hundred thousand united states dollars) in a bank in Senegal mean while that he used my name as the beneficiary of the deposited fund. He also explained to me that it was because of this money he was poisoned by his business partner and that i should seek for foreign partner in a country of my choice where i would transfer this money and use it for investment purpose, such as; real estate investment or stock market investment. And right now i am in senegal to secure my life. Plesae, i am honourably soliciting your kind assistance as follows. 1) To provide a bank account where this money will be transfered into. 2) To serve as the guardian of these fund ,since i am 22years old. 3)To make arrangement for me in your country to continue my educational career and to procure me a residential permit in your country. I am inclined to offer you 15% of the total sum as a mode of compensation for your effort after the successful transfering of these fund to your nominated account overseas. Please i will be very happy if this transaction will be concluded with in seven (7)working days from now. I am expecting to hear from you as soon as possible. May Almighty God bless you as you do care for me Amen. Best regard Evette Nuhan Vaye


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Q. 97. What is the eighth commandment? A. The eighth commandment is, Thou shalt not steal.
Q. 98. What does the eighth commandment teach us? A. To be honest and industrious.


Hertz locator tool
enter address or location to find closest hertz DOWNTOWN location
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Roadmap
04-10:
Extract score from game
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Create interface with game
04-21:
Create the Deep Q-Agent
Experiment with different architectures
Evaluate score – Select most promising Architecture
04-28:
Write Report and Presentation


Meal Music
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Set Password Invalid Error
Ran on 2 devices with 2 passing and 0 failing in an average of 5 seconds
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JsonSvcEx v0.1.1 Kafka.Helpers
Kafka.Helpers provides helper functions to simplify producing, consuming and interacting with kafka topics
Summary
Functions
creates a json payload from an incoming map
fetches uniq worker ids from a collection of kafka worker module names via kafka_meta/0
collects normalized payloads of uniq consumers, handlers and expected batch sizes
formate a timestamp to a iso formated datetime
generate a utc standardized timestamp
genreates an iso8601 now timestamp
Normalizes an outgoing payload Examples
iex> payload = %{hello: :world}
iex> time = "2017-03-19T02:48:15.814147Z"
iex> uuid = "33c5aa7e-3f35-47bc-883b-33ea0ace89f0"
iex> Kafka.Helpers.payload_normalizer(payload, time, uuid)
%{meta: %{
requested_at: "2017-03-19T02:48:15.814147Z",
transaction_id: "33c5aa7e-3f35-47bc-883b-33ea0ace89f0"},
request_body: %{hello: :world}}
selects a random value from a set of partions
starts a collection of consumer workers defaulting to KafkaEx.fetch/3 for the message handler
validates a string as a uuid
Examples
iex> Kafka.Helpers.validate_uuid("33c5aa7e-3f35-47bc-883b-33ea0ace89f0")
{:ok, "33c5aa7e-3f35-47bc-883b-33ea0ace89f0"}
Functions
creates a json payload from an incoming map
fetches uniq worker ids from a collection of kafka worker module names via kafka_meta/0
collects normalized payloads of uniq consumers, handlers and expected batch sizes
formate a timestamp to a iso formated datetime
Examples
iex> timestamp = "2017-03-19T02:48:15.814147Z"
iex> {:ok, time, _} = DateTime.from_iso8601(timestamp)
iex> Kafka.Helpers.format_time(time)
"2017-03-19T02:48:15.814147Z"
generate a utc standardized timestamp
Normalizes an outgoing payload Examples
iex> payload = %{hello: :world}
iex> time = "2017-03-19T02:48:15.814147Z"
iex> uuid = "33c5aa7e-3f35-47bc-883b-33ea0ace89f0"
iex> Kafka.Helpers.payload_normalizer(payload, time, uuid)
%{meta: %{
requested_at: "2017-03-19T02:48:15.814147Z",
transaction_id: "33c5aa7e-3f35-47bc-883b-33ea0ace89f0"},
request_body: %{hello: :world}}
selects a random value from a set of partions
Examples
iex> partitions = [1]
iex> Kafka.Helpers.select_random_partition(partitions)
1
start_consumers([String.t], (... -> any)) :: {:ok, [pid]}
starts a collection of consumer workers defaulting to KafkaEx.fetch/3 for the message handler


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Decorating the dining room table for a special occasion, the host carefully arranged the centerpiece and two earpieces apiece to create a stunning display. [G|D]
She wrapped herself in a luxurious fleece blanket, peering through the eyepiece of her antique telescope at the intricate frontispiece of the evening sky. [G|D]
After admiring the beautiful mantelpiece in the living room, the auntie lovingly placed a floral headpiece on her niece's head, delighted with the picture they created together. [G|D]
The watchmaker carefully examined each workpiece of the vintage timepiece before fitting them together with precision to make a one-of-a-kind showpiece. [G|D]


Sorts row with a custom javascript expression. More...
| Import Statement: | import SortFilterProxyModel . |
| Inherits: |
An ExpressionSorter is a Sorter allowing to implement custom sorting based on a javascript expression.
This property holds whether the sorter is enabled. A disabled sorter will not change the order of the rows.
By default, sorters are enabled.
An expression to implement custom sorting. It must evaluate to a bool. It has the same syntax has a Property Binding, except that it will be evaluated for each of the source model's rows. Model data is accessible for both rows with the modelLeft
, and modelRight
properties:
sorters: ExpressionSorter { expression: { return modelLeft.someRole < modelRight.someRole; } }
The index
of the row is also available through modelLeft
and modelRight
.
The expression should return true
if the value of the left item is less than the value of the right item, otherwise returns false.
This expression is reevaluated for a row every time its model data changes. When an external property (not index*
or in model*
) the expression depends on changes, the expression is reevaluated for every row of the source model. To capture the properties the expression depends on, the expression is first executed with invalid data and each property access is detected by the QML engine. This means that if a property is not accessed because of a conditional, it won't be captured and the expression won't be reevaluted when this property changes.
A workaround to this problem is to access all the properties the expressions depends unconditionally at the beggining of the expression.
This property holds the sort priority of this sorter. Sorters with a higher priority are applied first. In case of equal priority, Sorters are ordered by their insertion order.
By default, the priority is 0.
This property holds the sort order of this sorter.
| Constant | Description |
|---|---|
Qt.AscendingOrder | The items are sorted ascending e.g. starts with 'AAA' ends with 'ZZZ' in Latin-1 locales |
Qt.DescendingOrder | The items are sorted descending e.g. starts with 'ZZZ' ends with 'AAA' in Latin-1 locales |
By default, sorting is in ascending order.


Arsenal leading race to sign player – Gunners ready to offer €40m in January
by Nihat Emre KocaaslanDespite barely featuring for Juventus this season, Merih Demiral’s performances for Turkey in Euro 2020 qualifiers have been impressive.
The Juventus defender helped his country to qualify for next summer’s tournament with his heroic display against Iceland last week and Turkish newspaper Fanatik report he’s a transfer target for Arsenal.
Despite interest from Manchester United and Milan, Fanatik claim Arsenal are currently leading the race for the Turkish defender and are ready to offer €40m to Juventus to get the player.
Last week there were reports the Gunners planned to watch the 21 year old against Iceland.
Its reported Arsenal are looking to act quickly to sign the player as they are hoping to strengthen their squad in the new year.
Juventus paid €18m to Sassoulo to sign Demiral in the summer but shortly after that the Turin club signed Matthijs de Ligt, which has limited the chances available.
Under Maurizio Sarri, Demiral has made just one appearance for Juventus and he could leave the Serie A club to get more regular football ahead of Euro 2020.


It's a very easy way to validate a contenteditable for Angular with ngModel.
You can use required="true"
, minlength="2"
, maxlength="15"
and name="example1"
or any custom validator !
<p contenteditable [(ngModel)]="text" name="example1" required="true" minlength="2" maxlength="15" #example1="ngModel"></p>
for the first example. Try it !
multiline="true"
to the first example for type on any lines you want by press the touch "Enter". Try it !
| Single-line edition | Multi-line edition |


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Bringing a depth of skill, experience and innovative techniques to managing construction efficiently, our goal on every project is to reinforce our reputation for integrity, open collaboration and innovation. our goal on every project is to reinforce our reputation for integrity, open collaboration.
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{% extends "risk/base.html" %} {% block sub-title %}Delete Condition | {% endblock %} {% block content-main %}
Are you sure you want to delete {{ cond }}?


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/Beginner.20question.2C.20pattern.20matching.html ---
Trying to figure out why the following fails, and what i should be doing instead.
I have a goal of n:N and n+nn-nn=n.
I try to use
rw <-nat.mul_sub_left_distrub
But get the error "rewrite tactic failed, did not find instance of the pattern in target expression ?m_1?m_2 - ?m_1?m_3.
I was expecting a match of nn-nn.
Thanks!
I'm not at lean right now. What does #check @nat.mul_sub_left_distrib
say?
(outside of tactic mode)
If you use single quotes `
you can quote code. Some of what you wrote got mangled. Was that *
symbols? I'm thinking you're applying the wrong lemma
Oh I understand now! n+n*n-n*n=n
is your goal. Zulip was garbling stuff and I thought it was the LaTeX issue. Yeah, that's bracketed the wrong way for you.
That's (n + n * n) - n * n
so the rewrite can't find it
I would be tempted to just try the simplifier
Import tactic.linarith
and then try example (a b : nat) : (a + b) - b = a := by library_search
and see if you get lucky
(if the simplifier doesn't do it)
There is a lemma for this, use library_search
to find it
One more detail: you need mathlib to get access to library_search
, and import tactic
at top of your file if you have no import from mathlib at all
(although the lemma you're looking for is almost certainly in core)
Thanks for all the suggestions! Sorry about the garbled code. Kevin was spot on with the implicit bracketing being the wrong way around.
Associativity is tricky for mathematicians because we never think about it. We turn this property into "I can write sums without caring about parentheses", which is not very formalization friendly. But we certainly want Lean to take care of this (and indeed you can prove your goal by simp
).
My main goal was to figure out why it didn't match, as I couldn't find any information about how the matching is performed but i think this enlightened me. Now I'm trying to figure out how to get the right bracketing :)
I cant seem to prove my goal with simp
(but I have a proof by exact nat.add_sub_cancel n (n*n)
)
It means you didn't import enough of mathlib. The simp attribute is set in https://github.com/leanprover-community/mathlib/blob/master/src/data/nat/basic.lean#L21
I think almost any mathlib import would be enough to drag this in
and you really don't want to start using Lean without mathlib
at least not if you're doing maths. The computer scientists will wince when I say this but whenever I start on a new file, if I'm just goofing around, I import tactic.linarith
because I know this gives me all the good stuff.
Thanks Patrick, that definitely explains why simp
didn't work, I have yet to bite the bullet and figure out how to install mathlib. I postponed that while trying to figure out how things worked.
Good instructions in the mathlib README. Let us know if there's any problems. You should end up with a fully working Lean and mathlib with everything installed and compiled, if all goes well.
Thanks! I i think i had success this time, but is not really usable. The autocompletion in vsstudio works when i write (ie it shows all kind of linear algebra stuff that i assume is part of mathlib) import linear_algebra.finsupp
but as soon as i finish typing it stalls at updating
It's supposed to say "updating" all the time. Are you sure it's doing something? it might just be ready.
I will be the first to admit that this is not particuarly clear.
Yes, we'll need to fix that at some point. Many people are confused by this
And Gabriel could change it very easily
It's the orange bars which indicate that there is a problem. This means your code is compiling (and compiling should be quick if lean and mathlib are all already compiled).
Ok, that was a bit confusing. For some time the cpu usage was 600%, then it calmed down. Now im left with a red swiggle under import
and no output in lean messages
. A new panel opened in the bottom telling me i have 1k+ problems. (Lean server errors)
Then the installation procedure didn't work.
Try restarting Lean -- ctrl-shift-P and then Lean : Restart
Restarting gave me orange bars, so i guess im compiling now?
This is not good.
What is your OS?
did you follow the instructions at https://github.com/leanprover-community/mathlib/blob/master/README.md?
Your copy of mathlib is pretty much unusable unless you've compiled it.
Did you follow the installation procedure up to and including the update-mathlib
part?
orange bars indicate that the import worked but that you have an uncompiled mathlib -- compiling it might be the only step you have left. Alternatively if the bars disappear within around 10-20 seconds then you are OK.
Once you've compiled it, it's trouble-free.
I followed the instructions, including the update-mathlib. It went quite.fast though, so i suspect no compiling happened. Tried again and it prints 'reusing cached olean archive'
That's good
Can you list what is in your project folder?
The point of update-mathlib is exactly to ensure that no compiling happens on your machine, it fetches precompiled stuff
_target, leanpkg.[path, toml], src
Ok, and the Lean file you are editing is in src, right?
Yes
Ah okay, i wasnt clear on the role of update-mathlib
And you told VScode to open the folder whose content you just listed, right (not the src folder)?
Yes
Weird. Let's get VScode out of the game. Can you try to run leanpkg build
in a terminal in this project folder?
And tell us if it starts mentioning mathlib files
It does a.git checkout, then prints lean --make src
And is it running for a long time here?
Can you paste the content of your leanpkg.toml
?
No just a second
[package]
name = "my_project"
version = "0.1"
lean_version = "3.4.2"
path = "src"
[dependencies]
mathlib = {git = "https://github.com/leanprover-community/mathlib", rev = "bfe9c6c16b699238dac814fb292fdb0f2ed6374e"}
Ok, so the VScode extension is misbehaving, but Lean is fine
Did you change any setting of the VScode extension?
Wait, i think it might be working now
Yes, the orange bars are just a second or two now, and now it seems to work as expected!
I sometimes have to restart VScode to make it behave well (in certain cases even Lean: Restart Server
doesn't work properly). Probably something similar is going on here.
Even when everything works as expected, it's painful...
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


class: center, middle, inverse, title-slide # Recap III ### The R Bootcamp
Twitter:
@therbootcamp
### January 2018 --- # Tidying .pull-left4[ In this introduction you will learn... >...more about R projects. ><br2> >...how to write clean, documented code. ><br2> >...to understand errors (and warnings). ><br2> >...how to deal with missing values. ] .pull-right5[
source https://build2be.com/ ] --- # Style Check out the [**Google's R style guide**](https://google.github.io/styleguide/Rguide.xml) & [**Tidyverse style guide**](http://style.tidyverse.org/index.html) ### Bad ```r mean(subset((data.frame(c('a','b'),runif(1000,0,1))),c..a....b..=='a')[,'runif.1000..0..1.']) ``` ### Good ```r # create my data.frame my_data <- data.frame('group' = c('a','b'), 'value' = runif(1000,0,1)) # subset data my_data %>% filter(group == 'a') %>% summarize(mean(value)) ``` --- # Project structure .pull-left4[ Good, clean, documented code begins with a **project** and a **folder structure**. ] .pull-right5[  ] --- # 7 most frequent errors According to [stackoverflow.com](http://www.stackoverflow.com) | Error| Example| Description| |:------|:------------|:--------------------------------------------| | `'could not find function'`|lenth(my_vec)| There is a typo in the function name or that a package has not been loaded.| | `'error in if'`|if(NA == 2) 2 + 2| The object in the `if` clause is non-logical or NA.| | `'error in eval'`|lm(fefq~wzfe)| An object is used that does not exist.| | `'cannot open()'`|read_csv('hjht.txt')| The file does not exist. Could be a typo or a missing filepath.| | `'no applicable method'`|predict('efwe')| A 'generic function' has not been defined for this type/class | | `'subsscript out of bounds'`|a <- matrix(c(1,2)); a[2,2]| R tried to access an element (or variable) that does not exist | | package errors|| Occur when R is unable to install, compile, or load a package. Often this means that some software background is missing. | --- # You can do amazing plots in R! - As good as R is for statistics, it's as good if not better for plots.  --- ## ggplot2 .pull-left4[ How do we make elegant, easy to program plots according to the grammar of graphics in R? ###Answer: ggplot2 By far one of the most popular R packages, used to generate the vast majority of plots from R. ] .pull-right5[  ] --- ## Grammar of Graphics .pull-left5[ The Grammar of graphics breaks down plots into several key pieces: | aesthetics| Description| |:------|:----| | Data| What dataframe contains the data?| | Aesthetics| What does the x-axis, y-axis, color (etc) represent?| | Geometries| What kind of geometric object do you want to plot?| | Facets| Should there be groups of plots?| | Statistics|What statistic summaries / transformations should be done?| | Coordinates| What is the scale of the axes?| | Theme| What should the overall plot look like?| ] .pull-right45[  ] --- ## Final result! ```r ggplot(data = mpg, mapping = aes(x = displ, y = hwy, col = class)) + geom_point() + geom_smooth(col = "blue", method = "lm")+ labs(x = "Engine Displacement in Liters", y = "Highway miles per gallon", title = "MPG data", subtitle = "Cars with higher engine displacement tend to have lower highway mpg", caption = "Source: mpg data in ggplot2") + theme_bw() ```  --- ## What is Shiny?

Source: http://shiny.rstudio.com/images/shiny-cheatsheet.pdf

 --- # Today
Schedule


Nitrous is something I was in general worried about in regard to health, as it is an infamous inhalant. So I was very skeptical as to whether the effects would be worth it but with enough peer pressure I was coaxed into trying one cartridge.
My friend 'John' had purchased 24 earlier and all the others around me, 7 or so people, had decided it was game. Two of them were newbies excepting me. John had a cracker and a balloon so everything was quite well planned out. I saw all my friends inhaling and the others giggling and laughing and him trying to breathe back in and then out again over and over until he was red in the face, and since he was sitting, fell over backwards with him eyes flickering numbly in response to the physical euphoria. John offered to save me one and I put it in my pocket, so when all the others were finished, he proposed it be my turn.
John handed me the filled balloon and suggested I let it sit for a moment to warm up before taking my hit.  For a few moments, the world as I viewed it was shaking and ludicrous, like it was as if I had run around in circles, twirling, for 10 minutes and then sat down. But it wasn't a nauseous feeling, more so an enlightening happiness. I was so crazed, I held my hand out in front of me, laughing uncontrollably, shaking it vigorously, for a few seconds; confused as to why, how, what, and all those confusing questions you could ask on a drug.
But then it quickly faded away, and I realised the high was gone after only 30 or so, maybe 20 seconds. And then john asked me how I felt, and he, being an experienced drug user and good friend, summed up my feelings toward this session as the smallest dose of the best physical high, somewhat visual drug in the world, and that its so good and incredible that's all that humans should have and deserve.
For a while I felt slightly off and light-headed and I had a few shots to 'take off the edge' but overall it was incredible. If someone is concerned about whether or not they should try nitrous oxide, I believe it is a great experience and if not to get away and free your mind then to have the knowledge of what is possible to feel and be. In short, it comes highly recommended, but always research and use professional materials to be as safe as possible.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Listed below are a few recent projects that showcase my programming skills:
This webpage, built with JavaScript and jQuery, calculates and displays the total cost of a pizza order based on the user's input.
A collaborative project built with JavaScript and jQuery where users decide their own fate based on their choices.
This jQuery powered webpage features a quiz to help determine which programming language to learn.