Flink programs are regular programs that implement transformations on distributed collections (e.g., filtering, mapping, updating state, joining, grouping, defining windows, aggregating). Collections are initially created from sources (e.g., by reading from files, kafka topics, or from local, in-memory collections). Results are returned via sinks, which may for example write the data to (distributed) files, or to standard output (for example, the command line terminal). Flink programs run in a variety of contexts, standalone, or embedded in other programs. The execution can happen in a local JVM, or on clusters of many machines.
Depending on the type of data sources, i.e. bounded or unbounded sources, you would either write a batch program or a streaming program where the DataSet API is used for batch and the DataStream API is used for streaming. This guide will introduce the basic concepts that are common to both APIs but please see our Streaming Guide and Batch Guide for concrete information about writing programs with each API.
NOTE: When showing actual examples of how the APIs can be used we will use
StreamingExecutionEnvironment
and the DataStream
API. The concepts are exactly the same
in the DataSet
API, just replace by ExecutionEnvironment
and DataSet
.
Flink has the special classes DataSet
and DataStream
to represent data in a program. You
can think of them as immutable collections of data that can contain duplicates. In the case
of DataSet
the data is finite while for a DataStream
the number of elements can be unbounded.
These collections differ from regular Java collections in some key ways. First, they are immutable, meaning that once they are created you cannot add or remove elements. You can also not simply inspect the elements inside.
A collection is initially created by adding a source in a Flink program and new collections are
derived from these by transforming them using API methods such as map
, filter
and so on.
Flink programs look like regular programs that transform collections of data. Each program consists of the same basic parts:
execution environment
,We will now give an overview of each of those steps, please refer to the respective sections for more details. Note that all core classes of the Java DataSet API are found in the package org.apache.flink.api.java while the classes of the Java DataStream API can be found in org.apache.flink.streaming.api.
The StreamExecutionEnvironment
is the basis for all Flink programs. You can
obtain one using these static methods on StreamExecutionEnvironment
:
Typically, you only need to use getExecutionEnvironment()
, since this
will do the right thing depending on the context: if you are executing
your program inside an IDE or as a regular Java program it will create
a local environment that will execute your program on your local machine. If
you created a JAR file from your program, and invoke it through the
command line, the Flink cluster manager
will execute your main method and getExecutionEnvironment()
will return
an execution environment for executing your program on a cluster.
For specifying data sources the execution environment has several methods to read from files using various methods: you can just read them line by line, as CSV files, or using completely custom data input formats. To just read a text file as a sequence of lines, you can use:
This will give you a DataStream on which you can then apply transformations to create new derived DataStreams.
You apply transformations by calling methods on DataStream with a transformation functions. For example, a map transformation looks like this:
This will create a new DataStream by converting every String in the original collection to an Integer.
Once you have a DataStream containing your final results, you can write it to an outside system by creating a sink. These are just some example methods for creating a sink:
We will now give an overview of each of those steps, please refer to the respective sections for more details. Note that all core classes of the Scala DataSet API are found in the package org.apache.flink.api.scala while the classes of the Scala DataStream API can be found in org.apache.flink.streaming.api.scala.
The StreamExecutionEnvironment
is the basis for all Flink programs. You can
obtain one using these static methods on StreamExecutionEnvironment
:
Typically, you only need to use getExecutionEnvironment()
, since this
will do the right thing depending on the context: if you are executing
your program inside an IDE or as a regular Java program it will create
a local environment that will execute your program on your local machine. If
you created a JAR file from your program, and invoke it through the
command line, the Flink cluster manager
will execute your main method and getExecutionEnvironment()
will return
an execution environment for executing your program on a cluster.
For specifying data sources the execution environment has several methods to read from files using various methods: you can just read them line by line, as CSV files, or using completely custom data input formats. To just read a text file as a sequence of lines, you can use:
This will give you a DataStream on which you can then apply transformations to create new derived DataStreams.
You apply transformations by calling methods on DataSet with a transformation functions. For example, a map transformation looks like this:
This will create a new DataStream by converting every String in the original collection to an Integer.
Once you have a DataStream containing your final results, you can write it to an outside system by creating a sink. These are just some example methods for creating a sink:
Once you specified the complete program you need to trigger the program execution by calling
execute()
on the StreamExecutionEnvironment
.
Depending on the type of the ExecutionEnvironment
the execution will be triggered on your local
machine or submit your program for execution on a cluster.
The execute()
method is returning a JobExecutionResult
, this contains execution
times and accumulator results.
Please see the Streaming Guide for information about streaming data sources and sink and for more in-depths information about the supported transformations on DataStream.
Check out the Batch Guide for information about batch data sources and sink and for more in-depths information about the supported transformations on DataSet.
All Flink programs are executed lazily: When the program’s main method is executed, the data loading
and transformations do not happen directly. Rather, each operation is created and added to the
program’s plan. The operations are actually executed when the execution is explicitly triggered by
an execute()
call on the execution environment. Whether the program is executed locally
or on a cluster depends on the type of execution environment
The lazy evaluation lets you construct sophisticated programs that Flink executes as one holistically planned unit.
Some transformations (join, coGroup, keyBy, groupBy) require that a key be defined on a collection of elements. Other transformations (Reduce, GroupReduce, Aggregate, Windows) allow data being grouped on a key before they are applied.
A DataSet is grouped as
while a key can be specified on a DataStream using
The data model of Flink is not based on key-value pairs. Therefore, you do not need to physically pack the data set types into keys and values. Keys are “virtual”: they are defined as functions over the actual data to guide the grouping operator.
NOTE: In the following discussion we will use the DataStream
API and keyBy
.
For the DataSet API you just have to replace by DataSet
and groupBy
.
The simplest case is grouping Tuples on one or more fields of the Tuple:
The tuples are grouped on the first field (the one of Integer type).
Here, we group the tuples on a composite key consisting of the first and the second field.
A note on nested Tuples: If you have a DataStream with a nested tuple, such as:
Specifying keyBy(0)
will cause the system to use the full Tuple2
as a key (with the Integer and Float being the key). If you want to “navigate” into the nested Tuple2
, you have to use field expression keys which are explained below.
You can use String-based field expressions to reference nested fields and define keys for grouping, sorting, joining, or coGrouping.
Field expressions make it very easy to select fields in (nested) composite types such as Tuple and POJO types.
In the example below, we have a WC
POJO with two fields “word” and “count”. To group by the field word
, we just pass its name to the keyBy()
function.
Field Expression Syntax:
Select POJO fields by their field name. For example "user"
refers to the “user” field of a POJO type.
Select Tuple fields by their field name or 0-offset field index. For example "f0"
and "5"
refer to the first and sixth field of a Java Tuple type, respectively.
You can select nested fields in POJOs and Tuples. For example "user.zip"
refers to the “zip” field of a POJO which is stored in the “user” field of a POJO type. Arbitrary nesting and mixing of POJOs and Tuples is supported such as "f1.user.zip"
or "user.f3.1.zip"
.
You can select the full type using the "*"
wildcard expressions. This does also work for types which are not Tuple or POJO types.
Field Expression Example:
These are valid field expressions for the example code above:
"count"
: The count field in the WC
class.
"complex"
: Recursively selects all fields of the field complex of POJO type ComplexNestedClass
.
"complex.word.f2"
: Selects the last field of the nested Tuple3
.
"complex.hadoopCitizen"
: Selects the Hadoop IntWritable
type.
In the example below, we have a WC
POJO with two fields “word” and “count”. To group by the field word
, we just pass its name to the keyBy()
function.
Field Expression Syntax:
Select POJO fields by their field name. For example "user"
refers to the “user” field of a POJO type.
Select Tuple fields by their 1-offset field name or 0-offset field index. For example "_1"
and "5"
refer to the first and sixth field of a Scala Tuple type, respectively.
You can select nested fields in POJOs and Tuples. For example "user.zip"
refers to the “zip” field of a POJO which is stored in the “user” field of a POJO type. Arbitrary nesting and mixing of POJOs and Tuples is supported such as "_2.user.zip"
or "user._4.1.zip"
.
You can select the full type using the "_"
wildcard expressions. This does also work for types which are not Tuple or POJO types.
Field Expression Example:
These are valid field expressions for the example code above:
"count"
: The count field in the WC
class.
"complex"
: Recursively selects all fields of the field complex of POJO type ComplexNestedClass
.
"complex.word._3"
: Selects the last field of the nested Tuple3
.
"complex.hadoopCitizen"
: Selects the Hadoop IntWritable
type.
An additional way to define keys are “key selector” functions. A key selector function takes a single element as input and returns the key for the element. The key can be of any type and be derived from deterministic computations.
The following example shows a key selector function that simply returns the field of an object:
Most transformations require user-defined functions. This section lists different ways of how they can be specified
The most basic way is to implement one of the provided interfaces:
You can pass a function as an anonymous class:
Flink also supports Java 8 Lambdas in the Java API.
All transformations that require a user-defined function can instead take as argument a rich function. For example, instead of
you can write
and pass the function as usual to a map
transformation:
Rich functions can also be defined as an anonymous class:
As already seen in previous examples all operations accept lambda functions for describing the operation:
All transformations that take as argument a lambda function can instead take as argument a rich function. For example, instead of
you can write
and pass the function to a map
transformation:
Rich functions can also be defined as an anonymous class:
Rich functions provide, in addition to the user-defined function (map,
reduce, etc), four methods: open
, close
, getRuntimeContext
, and
setRuntimeContext
. These are useful for parameterizing the function
(see Passing Parameters to Functions),
creating and finalizing local state, accessing broadcast variables (see
Broadcast Variables), and for accessing runtime
information such as accumulators and counters (see
Accumulators and Counters), and information
on iterations (see Iterations).
Flink places some restrictions on the type of elements that can be in a DataSet or DataStream. The reason for this is that the system analyzes the types to determine efficient execution strategies.
There are six different categories of data types:
Tuples are composite types that contain a fixed number of fields with various types.
The Java API provides classes from Tuple1
up to Tuple25
. Every field of a tuple
can be an arbitrary Flink type including further tuples, resulting in nested tuples. Fields of a
tuple can be accessed directly using the field’s name as tuple.f4
, or using the generic getter method
tuple.getField(int position)
. The field indices start at 0. Note that this stands in contrast
to the Scala tuples, but it is more consistent with Java’s general indexing.
Scala case classes (and Scala tuples which are a special case of case classes), are composite types that contain a fixed number of fields with various types. Tuple fields are addressed by their 1-offset names such as _1
for the first field. Case class fields are accessed by their name.
Java and Scala classes are treated by Flink as a special POJO data type if they fulfill the following requirements:
The class must be public.
It must have a public constructor without arguments (default constructor).
All fields are either public or must be accessible through getter and setter functions. For a field called foo
the getter and setter methods must be named getFoo()
and setFoo()
.
The type of a field must be supported by Flink. At the moment, Flink uses Avro to serialize arbitrary objects (such as Date
).
Flink analyzes the structure of POJO types, i.e., it learns about the fields of a POJO. As a result POJO types are easier to use than general types. Moreover, Flink can process POJOs more efficiently than general types.
The following example shows a simple POJO with two public fields.
Flink supports all Java and Scala primitive types such as Integer
, String
, and Double
.
Flink supports most Java and Scala classes (API and custom). Restrictions apply to classes containing fields that cannot be serialized, like file pointers, I/O streams, or other native resources. Classes that follow the Java Beans conventions work well in general.
All classes that are not identified as POJO types (see POJO requirements above) are handled by Flink as general class types. Flink treats these data types as black boxes and is not able to access their content (i.e., for efficient sorting). General types are de/serialized using the serialization framework Kryo.
Value types describe their serialization and deserialization manually. Instead of going through a
general purpose serialization framework, they provide custom code for those operations by means of
implementing the org.apache.flinktypes.Value
interface with the methods read
and write
. Using
a Value type is reasonable when general purpose serialization would be highly inefficient. An
example would be a data type that implements a sparse vector of elements as an array. Knowing that
the array is mostly zero, one can use a special encoding for the non-zero elements, while the
general purpose serialization would simply write all array elements.
The org.apache.flinktypes.CopyableValue
interface supports manual internal cloning logic in a
similar way.
Flink comes with pre-defined Value types that correspond to basic data types. (ByteValue
,
ShortValue
, IntValue
, LongValue
, FloatValue
, DoubleValue
, StringValue
, CharValue
,
BooleanValue
). These Value types act as mutable variants of the basic data types: Their value can
be altered, allowing programmers to reuse objects and take pressure off the garbage collector.
You can use types that implement the org.apache.hadoop.Writable
interface. The serialization logic
defined in the write()
and readFields()
methods will be used for serialization.
You can use special types, including Scala’s Either
, Option
, and Try
.
The Java API has its own custom implementation of Either
.
Similarly to Scala’s Either
, it represents a value of one two possible types, Left or Right.
Either
can be useful for error handling or operators that need to output two different types of records.
Note: This Section is only relevant for Java.
The Java compiler throws away much of the generic type information after compilation. This is
known as type erasure in Java. It means that at runtime, an instance of an object does not know
its generic type any more. For example, instances of DataStream<String>
and DataStream<Long>
look the
same to the JVM.
Flink requires type information at the time when it prepares the program for execution (when the
main method of the program is called). The Flink Java API tries to reconstruct the type information
that was thrown away in various ways and store it explicitly in the data sets and operators. You can
retrieve the type via DataStream.getType()
. The method returns an instance of TypeInformation
,
which is Flink’s internal way of representing types.
The type inference has its limits and needs the “cooperation” of the programmer in some cases.
Examples for that are methods that create data sets from collections, such as
ExecutionEnvironment.fromCollection(),
where you can pass an argument that describes the type. But
also generic functions like MapFunction<I, O>
may need extra type information.
The ResultTypeQueryable interface can be implemented by input formats and functions to tell the API explicitly about their return type. The input types that the functions are invoked with can usually be inferred by the result types of the previous operations.
Accumulators are simple constructs with an add operation and a final accumulated result, which is available after the job ended.
The most straightforward accumulator is a counter: You can increment it using the
Accumulator.add(V value)
method. At the end of the job Flink will sum up (merge) all partial
results and send the result to the client. Accumulators are useful during debugging or if you
quickly want to find out more about your data.
Flink currently has the following built-in accumulators. Each of them implements the Accumulator interface.
How to use accumulators:
First you have to create an accumulator object (here a counter) in the user-defined transformation function where you want to use it.
Second you have to register the accumulator object, typically in the open()
method of the
rich function. Here you also define the name.
You can now use the accumulator anywhere in the operator function, including in the open()
and
close()
methods.
The overall result will be stored in the JobExecutionResult
object which is
returned from the execute()
method of the execution environment
(currently this only works if the execution waits for the
completion of the job).
All accumulators share a single namespace per job. Thus you can use the same accumulator in different operator functions of your job. Flink will internally merge all accumulators with the same name.
A note on accumulators and iterations: Currently the result of accumulators is only available after the overall job has ended. We plan to also make the result of the previous iteration available in the next iteration. You can use Aggregators to compute per-iteration statistics and base the termination of iterations on such statistics.
Custom accumulators:
To implement your own accumulator you simply have to write your implementation of the Accumulator interface. Feel free to create a pull request if you think your custom accumulator should be shipped with Flink.
You have the choice to implement either Accumulator or SimpleAccumulator.
Accumulator<V,R>
is most flexible: It defines a type V
for the value to add, and a
result type R
for the final result. E.g. for a histogram, V
is a number and R
is
a histogram. SimpleAccumulator
is for the cases where both types are the same, e.g. for counters.


Cryptography RFC Documentation
Hash
HMAC
-
RFC 2104 - HMAC: Keyed-Hashing for Message Authentication:
Local
Remote
Public-Key Cryptography Standards
-
RFC 8017 - PKCS #1: RSA Cryptography Specifications Version 2.2:
Local
Remote
-
RFC 8018 - PKCS #5: Password-Based Cryptography Specification Version 2.1:
Local
Remote
-
RFC 2315 - PKCS #7: Cryptographic Message Syntax Version 1.5:
Local
Remote
-
RFC 2986 - PKCS #10: Certification Request Syntax Specification Version 1.7:
Local
Remote
-
RFC 7292 - PKCS #12: Personal Information Exchange Syntax v1.1:
Local
Remote
Certificate
-
RFC 2459 - Internet X.509 Public Key Infrastructure Certificate and CRL Profile
Local
Remote
-
RFC 5280 - Internet X.509 Public Key Infrastructure Certificate and Certificate Revocation List (CRL) Profile
Local
Remote 在4.2部分有对于Standard Extension的描述
-
RFC 3279 - Algorithms and Identifiers for the
Internet X.509 Public Key Infrastructure
Certificate and Certificate Revocation List (CRL) Profile
Local
Remote
-
RFC 5915 - Elliptic Curve Private Key Structure
Local
Remote
-
RFC 5480 - Elliptic Curve Cryptography Subject Public Key Information
Local
Remote


Florida car crash kills Georgia parents, injures their kids
by Associated PressGAINESVILLE, Fla. (AP) — Florida authorities say a driver traveling in the opposite direction crashed head-on with an SUV killing a Georgia couple and leaving their young children injured.
The Florida Highway Patrol said in a Sunday statement that the driver who was traveling on the wrong lane of a road north of Gainesville also died in the crash. The driver hasn’t been identified because the car was damaged by fire.
The agency said 30-year-old Christopher Hesling and 31-year-old Brittany Trowell Hesling of St. Marys, Georgia, were killed. Their 4-year-old boy was critically injured in the late Saturday collision, while their 6-month-old girl suffered minor injuries.
The two children appeared to have been traveling in child safety seats.


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DEAR John DOE
One last step left to complete the application, please enter the code below into the ÇAKÜ foreign students submitted system
One last step left to complete the application, please enter the code below into the ÇAKÜ foreign students submitted system


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close


https://docs.python.org/3/reference/simple_stmts.html#raise
The 'raise' statement is used to explicitly raise an exception. A traceback object is normally created automatically when an exception is raised and attached to it as the '__traceback__' attribute, which is writable.
# Syntax. # # raise exception_instance # raise exception_class # # Using the context of the old exception (Py3) # # raise new_exception from old_exception # raise new_exception from None # suppress exception chaining raise IndexError() raise IndexError("message") # recommended raise IndexError raise # re-raise the last exception that was active in the current scope
def power3(x): if x < 0: raise ValueError("negative x") return x * x * x


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AJ Jones, how are you?
I'm fine. Thank you. How are you?
I'm very good. Thank you. Beautiful new pajamas.
Why thank you. So do you.
Thank you. We've had an amazing week. We have.
You know what I realized was we started last week with a profit.
We did. And we start next week with a profit.
Very true. Our life is sandwiched between two profits.
There you go. So with David Wagner at the school and I emanate last week.
Which was amazing. Amazing. So good.
And we have James Gull with us tomorrow at the school.
Can you believe we had another snow day this week?
No, what was that Thursday?
I think we've got what like an inch of snow and an inch and a half of snow or
something on Wednesday night, shuts down the city.
Right.
Are terrified of that white stuff.
Yeah, but we don't have any infrastructure to clean up.
Well, I know, but it was melted by 10.

The.
Nobody knows that the night before when they have to make the judgment.
Well, we experienced the same.
When we're trying to cancel church, you have to be wise and I could go one or two different ways.
Yeah.
You were away this weekend. That's probably the most interesting thing that happened this week.
I was.
You went to the women's conference?
I did. I did a women's conference up in Owensboro, Kentucky.
How is Kentucky different from Tennessee?
Seems flatter.
But I mean, I only saw a small portion of Kentucky. It's not like I've seen the whole state.
But it was nice. We stayed in a nice hotel and I looked over the river and I saw my very
first river barge.
What's a river barge?
Well, I'm assuming it's a river barge. It's like this massive long boat that's like the
equivalent of a train that would carry cargo, but it's on the river. And it's really long
and skinny and it just moves really slowly.
I'm sorry.
I'm sorry.
I'm sorry.
Thanks.
I'm not saying I stared for long.
I was just like, Oh, long skinny boat.
Tell me that's a barge.
Tell me.
Tell me your highlight of this week.
My highlight of the week.
Possibly dinner tonight.
Mmm, that's amazing dinner.
We did.
We at Corcon Cab in downtown Franklin.
We did.
Was really good.
Was great friends.
It was fantastic.
That was your highlight.
Well, I don't know.
I have a couple highlights.
I mean, Shannon came with me on the weekend.
It was really fun to get time with Shannon and we tend to find the same things funny.
So we had a lot of fun just driving together and all that kind of stuff.
And then Alberto and Kimberly were at the conference as well.
So it was great to get time with him.
They were amazing.
And then Lyle's parents hosted it.
So they're scream Jeff most their scream. They're amazing and I didn't really know them before I really I've like fallen in love with
Them in a day. So it was really good. You had a week of highs then I had a great week. Yeah
It was really good and somewhere in there. I had a cronut -
Tuesday morning is that when we had cronuts cron never bad thing no so good five daughters bakery
It's like crack though really.
Well chocolate flavor crack.
Yes, but now I think about it every day.
Cro-nut.
What was your highlight of the week babe?
I don't know if I had a highlight.
So much as I had a great week.
What's good?

We got matching tattoos. That was nice.
It's just beautiful.
Am Just a beautiful.
Am just a nice one as I thought he would.
Which is nice.
because it's on his face.
It's a spider web, a brilliant, just beautiful.
He's ready for prison.
I'm enjoying MJ's fascination with playtime.
He's really come alive.
Like you can do distract him from anything just by saying play with trucks.
Oh, yeah.
And then you let him out onto the main road and he just goes for it.
He's doing full sentences now.

You know, like he's stringing things together, which is amazing.
Most of the sentences that he says revolves around him
hating his sisters, though.
I hit Tia.
I hit Tia.
Abby hit me.
Yeah.
Now that we're particularly violent, household, you understand.
When you're two and you have two noisy sisters, it seems like you make your way
in the world by hitting.
Yes, or shoving or poking.
But he always confesses and then sometimes he just goes and sits on the naughty step by himself.
Yeah, he gets that self control from his dad.
Okay.
He gets the hinting from his mother.
Sure.
Our topic for this week is the topic that you were ministering on this weekend.
Yeah, it was a spiritual warfare conference.
And I had a bunch of revelations about me or us and how we don't really experience much spiritual warfare.
So I think I was going into the conference going, Oh, dear, they've asked the wrong person to come and talk about this.
So what did you share them?

So if you're aligning your expectations with spiritual warfare and, you know, greater levels,
greater devils and, you know, the counter attack and all that kind of stuff, then I'm sure you
experience it because that's what you've aligned your faith with. I don't have faith for the enemy
to be able to do much of anything with me. And so I don't experience that. Does that make sense?
And my second point that I made was when I was driving a couple days before the conference,
to learn to me, I want to remove the house that hurt built.
- Well, that's a great line.
- Right, and I was like, oh yeah.
And really realizing, I think a lot of the things
that people would say are demonic attack,
I would say are inner healing issues
that are, you know, there's places in our lives
that are still unhealed, where we're either afraid
to deal with it or we don't realize it can be dealt with
or can be removed.
And so there's landing strips for the enemy
to actually mess with us in a certain area
because there's healing that's needed.
And actually, if you can rip up the landing strip,
the enemy actually has no legal rights
to mess with you at all.
- Right, so if you're harboring unforgiveness, for example,
then the enemy's empowered to mess with you
in the area of that heart.
- Right, or if you're, you know, sinning and you know it,
or you know, like, so, yeah.
So we looked at stuff like worry and unforgiveness
and bitterness, that kind of stuff.
like unresolved wounds, essentially.
- I think the most incredible thing on this topic
that I ever heard was from John and Carol.
And I remember speaking to them
because we'd go off and we'd do lots of conferences
around the world and we never seemed
to get any counter attack,
which was amassing with my theology.
Because my prior theology, my prior experience was,
if you do anything good for God,
going to be attacked really, really badly. And so I remember asking John about that one day,
and he took me to Matthew 28 and he said, you know, read that verse and says, you know,
all authorities been given to Jesus speaking, saying all authorities in heaven on earth had
been given to me. And so I read that out and John said, well, if Jesus has all authority,
how much does that leave for the devil? So I very quickly did the math and realized if Jesus had
all the authority, then the devil had none. So I said to John, none. And John said, no,
The devil only has a much authorities choose to give him.
And his point was, as Bill Johnson eloquently puts it, the devil is empowered by human agreement.
So if you choose to trespass or traffic in his area, then you will reap sin.
If you choose to sow sin, then you'll reap sin.
But if you choose to keep your life free from sin and you choose to live in an area of grace and forgiveness,
then there's precious little that the devil does.
Remember John saying, Alan, if what you're saying is true about counter-attack,
then. Surely Carol and I, having led an international revival for years and years and years,
should have experienced something. Right. But the most we experienced, if we maybe get cold,
or we lose our luggage once in a while, which incidentally, I never saw them lose their luggage
ever. Right. But you know, John had literally removed any expectation for the devil to operate
in his life, which was amazing. Yeah. But it messed with me. Yeah, for sure. I remember once
hearing a speaker near the beginning of the renewal talking about the difference between
charismatic and charismatic maniacs.
He was talking about the whole thing, looking for a devil under every rock.
He said, "These are the people that don't change their oil or don't put gas in their
car and then when they run out of gas or their engine sees us because of oil, they say the
devil attacked their car."
He says, "Well, the spirit did attack your car.

I remember just going, oh yeah, it wouldn't occur to me.
I guess the thing is I don't want to give the enemy any publicity.
Does that make sense?
Yeah.
I don't want to give credit for anything.
And it doesn't occur to me to offer it.
Right.

Well that verse is one of the verses that I talked about at the conference really briefly
just because I remember my friend Jenny, she grew up in Ethiopia so she grew up like
you know as a missionary's kid around lions and she said AJ roaring lions are not the
ones you have to worry about.
If they're roaring they're usually roaring because they're old and they're trying to
scare off other animals or other lions by their sound because they actually can't defend themselves.
It's the quiet, stealthy lions you have to worry about. And I was always like, oh, that's so interesting,
you know? And then besides that, of course, we know a bigger lion. But...
Well, that was John's great lion.
Yeah.
And his point was that most Christians have more faith in the devil to deceive them
then they do in God to keep them from deception. The other verse I think about where Paul writes
to Christians and says, "Do not give the devil a foothold." The Greek word there for "foothold"
is "topos," which literally means a license or permission to operate. We often use examples of
how we're going to open a taco stand in Franklin. I need a license from the city of Franklin to say,
I have permission to operate a food services car. And Paul's basically saying, just don't give the devil permission or a license or an opportunity to have access to your life.
And then goes on and says, you know, therefore get rid of all business, rage, anger, mouth, slander, that sort of stuff.
And it is amazing how we often want to keep on to our bitterness, our judgments without realizing the access we're giving the enemy through that.
Even the whole, you know, again, a couple days before the conference, I was thinking
about the, you know, Ephesians 6 with the armor of God.
And you know, you're girding your loins with truth and you've got a breastplate of righteousness
and, you know, the helmet of salvation and gospel of peace.
And I was like, huh, okay, so your loins are girded with truth, which really speaks to
me of also of purity and that sort of thing.

And then your feet are shod with peace.
And then it doesn't say, after all of that, talking about the what you're wearing, it
doesn't say now go and fight, it says stand firm.
It doesn't say attack, it says stand firm.
So really, uh, warring if warring is done should be from a position of rest and from
knowing who he is.
Do you know what I mean?
And, and, yeah.
So I think it's interesting we look at the life of Jesus.
Jesus wasn't preoccupied with what the devil was doing.
No.
He wasn't intimidated to preach the sermon on the mountain.
He just had a perspective of what is his heavenly father doing.
I remember once traveling with John and we landed in a city in the United States and
we got picked up by one of my heroes and we got in the car with him and I'd read this
guy's books and I was interested to spend the weekend with him.
And as we're driving to the hotel, this guy just starts telling John about how bad the
territorial spirits are on this area and how they're told under attack and how to yadda,
yadda, yadda.
And I'm sitting thinking, "Ah, I don't have a grid for this."
And so we get to the hotel and we're unpacking.
I said, "John, I said, 'I don't want to be critical.'
I said, 'But I'm confused as to this guy's like a hero of mine.
I've read his books.'
And yet he seems really, really scared about the devil.
And can you hand me with that?
And so John said, " Alan, have you got a Bible there?"
So I do.
He said, "Just open it anywhere in the Psalms."
So I happened to open it.
I think I opened it as Psalm and I want to start reading from it.
And he said, "Okay, try again.
I turned a couple of pages, read from another Psalm."
And of course, they're all about David's absolute trust and confidence in God to rescue him.
And he said, Alan, when you don't have a revelation of the father's love, you're actually left
alone to fight all your battles.

And I never forgot that.
I just, you know, it's interesting if you think about when David, when to see his brothers
and Goliath was intimidating them, their eyes were all fixed on the giant in the land.
And yet David was accused of being arrogant, but he was just so confident in God's ability to rescue him that he paid no attention to the giant.
Yeah, the giant seems small.
So in essence, what would you sum up our approach or encouragement to people who want to understand a spiritual warfare?
I would say probably push into God for your healing, like, you know, for remove all the landing strips.
As the Lord to align your expectations with the goodness of God, how much you're loved,
how much he actually cares about the details of your life and how awesome he is.
And I think that realigns your perspective of what spiritual warfare is.
I forget who said it, but I remember hearing somebody in Toronto say,
the greatest form of spiritual warfare is the kind that magnifies the greatness of God.
And I love that. So yeah, keep your eyes fixed on Jesus.
get your heart healed up, have no faith in the devil.
Yeah.
God's huge.
It's absolutely enormous.
He's a great dad.
Do you know who's killing it at the moment?
Who?
Jesse Parker.
Yes, she is.
Jesse Parker early.
Or Jesse early.
Jesse early.
She just did an incredible job this morning.
Oh, amazing.
Yeah.
I love that "Health or Song" that we were seeing.
Jonathan David and Melissa "Health or Song."
Yeah.
Endless Ocean.
If you were looking for some new music, the song is so incredible.
I'll be singing it all day.
Yeah.
It's really good.
All right.
Any closing thoughts?
No.
Thanks to the dramatic boss.
I'm like, do I have any thoughts?
I'm thinking pillow.
Pillow.
Well, listeners, we hope you have an incredible week filled with joy filled with glory.
If you are listening and you're in the Nashville area, then please come and join us to one.
I am and we have James Gollum in his string.
- 730.
- 730 for the last time ever because we're moving our time to 7.
- Boop, boop.
- And if you are, have been thinking, I would love to go deeper with God.
We have in eight months school called the School of Supernatural Life, which we would
love to invite you to attend.
If you go to gracener.us/school, you can find out all the information about that school
or drop us a line at Twitter and we'll-
- It's actually a two years school now, maybe.
- It is a two year school.
- Eight months the first year and eight months the second.
- Right.
- Yeah.
- But they don't have to do the second year
if they don't want to. - No you don't.
- But I'm sure they'll do the first
and wanna do the second.
- Yeah.
- But alas, we're ahead of ourselves.
Have an amazing week and we'll see you next week.


All you need to know about India's first Pink Ball Test
by TNNHighlights
- India will become the last major cricketing nation to enter the pink-ball Test era after initially resisting innovations to the five-day format
- The second Test against Bangladesh in Kolkata will be a day-night affair -- partly played under floodlights, and with a pink ball rather than red for better visibility
India will become the last major cricketing nation to enter the pink-ball Test era on Friday after initially resisting innovations to the five-day format. The second Test against Bangladesh in Kolkata will be a day-night affair -- partly played under floodlights, and with a pink ball rather than red for better visibility.
Day-night Tests, aimed at increasing crowds and TV audiences for the five-day games, were successfully introduced in 2015 but India has balked at joining the party.
The iconic Eden Gardens in Kolkata will host India's first Day-Night Test from today.
Apart from the pink ball, there are many things that will be new about the game. TOI gives you the lowdown.


Massage
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Light pressure techniques and soft, directional movements cleanse your body and stimulate a healthy immune system.
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Fusion Stone Massage
Balance, soothe and invigorate your body with aromatic oils and the distinct sensations of warm and cool stones. from $115
Pure Energy Massage Treatment (this service is a hybrid of Massage & Spa Body Therapy)
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The Thai method uses point pressure, muscle stretching and compression to relieve pain, muscle tension or spasms and increase circulation and flexibility. Work is applied on a thick mat on the floor; work is done fully
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This shoulder, neck and foot massage includes a nourishing scalp massage and moisturizing hair treatment.
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Customize & Enhance Your Changes Spa Experience
Start with a Changes Full Body Massage and select one or more Add-ons or Upgrades from the list below. This gives you the opportunity to create a personalized service that truly meets your needs. When adding-on to services the massage time is adjusted to provide the most beneficial service.
Spa Glow
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Changes Steam Therapy Lounge
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from $25.00 includes use of the Steam Therapy LoungeYour treatment begins with a consultation where you will select the aromatherapy treatment blend that is perfect for you. Apply your treatment and relax in our Steam Therapy Lounge. A perfect addition to your massage or as a pick me up for an especially stressful day…a visit to our Steam Therapy Lounge is the perfect indulgence!
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Awaken your senses and restore your body’s natural balance. Our So Sound® lounger promotes deep relaxation through a blend of ambient tones and soothing vibrations to intensify your spa experience.
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{% load static %}
Here you can add, update, view and remove the resident data of the society.
Here you can view, print the data of visitors that have visited the society.
Click here to play and select the video clip for video processing
Click here to extract the number plate from the uploaded video :)


Account Settings
User Details
Username
{{user.username}}
Password
Confirm Password
Email
Role
{{user.roles}}
Activated
{{user.enabled}}
Skills
{{resumeSkills}}
Education
{{resumeEducation}}
Experience
{{resumeExperience}}
Projects
{{resumeProjects}}
Update User Details


Web crawlers' "Crawling policy"
The behaviour of a Web crawler is the outcome of a combination of policies:
-Selection policy: which pages to download
-Re-visit policy: when to check for changes to a webpage
-Politeness policy: how to avoid overloading the website
-Parallelization policy: how to coordinate "distributed web crawlers"


You do not have any eligible cash outs. If you think this is a mistake, please email<EMAIL_ADDRESS>{{fee * -1 | currency}}
{{cashOut.amount - fee | currency}}
Your permanent address is required to assess US tax obligations.
If you do have US tax obligations and earn over {{600 | dollars}} a year, this is where we will send your 1099 at the end of the year.
A mailing address is required if you receive payment via check.


Contents
1.6 Deploy the WatsonMaintenance Application with the
second button
2.1 Open the log if the Deploy failed
1.
Set-up
a name for the global machine configuration and confirm the name with the
Button “Confirm Machine Name”.
1.
Configure
the Solr cluster configuration file or use the default file (Press “Set Default
Files”).
2.
Configure
the input file for the training or use the default file (Press “Set Default
Files”).
3.
Press “Pull
Credentials” for the Retrieve and Rank service to get the credentials for the
bound Retrieve and Rank and Document Conversation Services.
4.
Create
the cluster with the specified configuration by pressing “Create and Train
Cluster”.
5.
The Log
Output below will display the cluster id. It can take several minutes until the
cluster is ready to use.
1.
Press
“Pull Credentials” for the Visual Recognition service to get the credentials
for the bound Visual Recognition service.
2.
Specify
your positive and negative pictures for the training or use the default
pictures.
3.
Start
the training by clicking “Train Visual Recognition”.
4.
The Log
Output will display the classifier Id.
1.
Press
“Pull Credentials” for the Dialog Service to get the credentials for the bound
Dialog Service.
2.
Specify
the xml file for the training or use the default file.
3.
Start
the training by clicking “Create Dialog”.
4.
The Log
Output will display the dialog Id.
-
The
Deploy process will display a failure
-
Click
on configured pipeline successfully and check the error source
|
Problem
Description |
Solution |
|
Number of Services exceeded |
Delete your
actually used Services or select an empty region or create a new Account. |
|
Memory Usage exceeded |
Delete or
stop your actually used Apps or change to an empty space. |
|
In this region,
your account does not have any organizations or spaces yet. |
Create a new
Space or Select another region. |
|
Ranker
Problem |
Select
another input document or restructure the input document and restart the
creation. |
|
Cloned repository failure |
There is probably
a temporary problem with Bluemix, check the status on: https://status.eu-gb.bluemix.net/ |
|
Service offering iotf-service not found |
Select
region US South or UK |
|
IBM DevOps Services is currently unavailable |
You have to wait
until DevOps is available. Check the status: https://status.hub.jazz.net/ |
© Copyright IBM Corporation 2016
Software Group
Route
Produced in the
United States of America
January 2016
IBM, the IBM logo, ibm.com, and WebSphere are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml
Intel is a
registered trademark of Intel Corporation or its subsidiaries in the
Linux is a
registered trademark of Linus Torvalds in the
This document is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates.
The performance data and client examples cited are presented for illustrative purposes only. Actual performance results may vary depending on specific configurations and operating conditions. It is the user’s responsibility to evaluate and verify the operation of any other products or programs with IBM products and programs.  IBM products are warranted according to the terms and conditions of the agreements under which they are provided.
Statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. Actual available storage capacity may be reported for both uncompressed and compressed data and will vary and may be less than stated.


Processing mixed operands and arguments with getopts
There are different ways of parsing arguments in Bash and choosing between GNU getopt and POSIX getopts is almost a religious issue, just like any other problem in Computer Science with more than one applicable solution. Some time ago I have discovered a simple yet interesting issue which neither of those tools is able to solve: mixing positional parameters with operands. I was surprised to find out that there is a very simple solution which seems to not be widely known. Although you can find this small tip, a SO question on exactly that problem has few not helpful answers and a real solution is either hidden in comments or at the very bottom.
The POSIX specification and guideline 9 suggest that an argument syntax should consist of a finite list of arguments followed by a finite list of operands, i.e. arguments following the last option. Sometimes we would like to abuse the syntax and insert multiple operands between options. A perfect example are build commands generated by CMake which tends to create a mix of source files or translation units, libraries to link, compilation and linking flags.
Of course it wouldn’t work directly with getopts and that’s why I have been so surprised to see it being used in a shell script which is supposed to be a wrapper invoking three different stages of building an executable. Getopts stops processing a stream of arguments as soon as first operand appears and there is no way to configure it to ignore or gather unrecognized options. You can see the problem in listing below.
while getopts <options_here> opt; do
case "$opt" in
<process options>
esace
done
A loop processes recognized options as long as getopts do not fail. Let’s leave it like that and focus on getting the operand. OPTIND
contains the index of the next argument to be processed. The easiest way here is to remove all already processed options by using shift
. We want to remove OPTIND -1
strings to be able to access the operand as first argument $1
:
FILES=""
while getopts <options_here> opt; do
case "$opt" in
<process options>
esace
done
shift "$((OPTIND-1))"
FILES="$FILES $1"
The pattern above is rather known, at least on Unix Stack Exchange. To finally solve the problem we only need one more loop in which each iteration processes as many options as possible and saves the operand breaking getopts loop.
FILES=""
while [$# -gt 0]; do
#necessary!
OPTIND=1
while getopts <options_here> opt; do
case "$opt" in
<process options>
esace
done
#remove already processed arguments
shift "$((OPTIND-1))"
#access operand
FILES="$FILES $1"
#remove operand
shift
done
This loop iterates until all arguments are processed; accessing remaining arguments with $@
is unnecessary. A crucial component is here to restart the index in each outer loop iteration. Otherwise getopts would start processing at a wrong position and it would skip a lot of valuable information.


--- layout: post title: 'More on Bluetooth security: \"Laurie' date: 2004-12-14 00:00:00 category: mobile ---
More on Bluetooth security: "Laurie could be crashing cell phones all around him, cutting a little swath of telecommunications destruction down the deli aisle."


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24-May-19 11:42 AM
[dscrd-hush] <dukeleto> @CHMEX thanks, that is very close to our actual "total supply" ! In theory, we should add about 71,000 locked sprout funds to our total supply, but your number above is much closer than the wrong numbers on CMC/coingecko
(edited)
[dscrd-hush] <dukeleto> I am thinking about making a special case in the coinsupply RPC for HUSH which adds in those locked sprout funds
[dscrd-hush] <CHMEX> this is what I get from coinsupply
{
"result": "success",
"coin": "HUSH3",
"height": 23568,
"supply": 6467723.05635994,
"zfunds": 3882.05476521,
"sprout": 0.00000000,
"total": 6471605.11112515
}
[dscrd-hush] <dukeleto> @CHMEX yes, I think your insight /supply endpoint uses gettxoutsetinfo, which probably has the same supply number. coinsupply is a kmd-specific RPC and the insight code most likely doesn't use it. I see it lists sprout specifically, huh
[dscrd-hush] <dukeleto> the thing is, we have a total supply which is spread across 2 blockchains
[dscrd-hush] <dukeleto> 71K sprout locked into the old chain, and the 6.4M Hush on the new chain
[dscrd-hush] <dukeleto> it's a complex situation, which most coins are never in, and it makes the ideas of "circulating supply" and "total supply" kind of complex
[dscrd-hush] <dukeleto> 6.4M is our circulating supply
[dscrd-hush] <dukeleto> but 6.4M + 71,000 is our total supply
[dscrd-hush] <CHMEX> ah I see.
( the insight explorer acttualy does not deliver the coinsupply natively from the daemon it's just an api call that is redirected to a cached page it would be impossile to deliver it so quickly I think.
[dscrd-hush] <dukeleto> Agreed, it probably caches the output of gettxoutsetinfo, which is a very slow RPC
[dscrd-hush] <dukeleto> In the past, CMC has manually updated our supply, which was just a manual fix that never auto-updated. CMC supply has always been wrong for Hush, ever since I started working on Hush
[dscrd-hush] <CHMEX> about the locked sprout funds maybe do the same as with ARRR if somebody can produce the viewing key give him the funds from a refund fund ( if there is any )
[dscrd-hush] <dukeleto> @CHMEX yep, Hush is planning to emulate Pirate, if people want to come forward with sprout funds, they can claim funds on the new chain. We have some funds set aside for that
[dscrd-hush] <jl777c> if they are locked, not part of supply
[dscrd-hush] <dukeleto> @jl777c total supply and circulating supply are different in my mind. They are similar to provably burned utxos, except they happen to be on a different chain as well
[dscrd-hush] <dukeleto> does "supply" mean "circulating supply" or "total supply that has ever existed", I guess is the question
[dscrd-hush] <dukeleto> sometimes, as a mathematician, I think too hard about edge cases
[dscrd-hush] <jl777c> if it is updating, that is not max, so must be circulating
[dscrd-hush] <dukeleto> well, that makes life easier
[dscrd-hush] <dukeleto> @heguli97 i updated this issue with the various ways people can get hush supply: https://github.com/MyHush/hush3/issues/16
@leto Create an API for circulating supply or a site anywhere on the web where live circulating supply can be seen.
[dscrd-hush] <CHMEX> I did not even see that issue:)
[dscrd-hush] <CHMEX> I also agree that if the coin is issued and can be accessed it's circulating.
for ex. RFOX is a great example the mcap is +-35m and not +-7m ( taking the definition of a big cryptomarketcap website )
[dscrd-hush] <dukeleto> it's always been "easy" for CMC/coingecko to get Hush supply via our RPCs or insight APIs, but they have never wanted to actually do it. Maybe they are getting more organized now
[dscrd-hush] <dukeleto> ATT (biggest phone provider in US) accepts Bitcoin now, that is some interesting news. It seems 2019 is the year of corporate BTC adoption
[dscrd-hush] <ComputerGenie - ChickenPool> ATT (biggest phone provider in US) accepts Bitcoin now
Literally? Or is this another Bitpay pretending thing like taxes in Ohio announcement?
[dscrd-hush] <dukeleto> bitpay pretending
[dscrd-hush] <dukeleto> but to the masses, that is basically the same, in terms of them hearing about BTC, needing to use it as a medium of commerce, etc...
[dscrd-hush] <ComputerGenie - ChickenPool>
[dscrd-hush] <dukeleto> it's a way for a big company to extract BTC from the masses
[dscrd-hush] <dukeleto> it just makes sense for massive companies to do it this way


The previous tutorial, Use of JAAS Login Utility and Java GSS-API for Secure Message Exchanges, demonstrated how two applications, in particular a client and a server, could use the Java GSS-API to establish a secure context between them and then securely exchange messages.
There are additional operations the context acceptor (the server in our client/server example) can perform once the context has been established with the context initiator (the client). Basically, the server can "impersonate" the client. The level of impersonation depends upon whether or not the client has delegated credentials to the server.
One possible type of client impersonation the server can do is causing code to be executed on behalf of the same entity (user) the client code is executed on behalf of. Normally, a method executed by a thread uses the access control settings for that thread itself. However, when impersonating a client in this tutorial, the server uses the client's access control settings so that the server has access to exactly those resources that the client itself has when it runs.
One major benefit of the approach used in this tutorial is that the JAAS authorization component can be used for access control. Without the JAAS authorization component, the server principal would need access to any resources accessed by the code executed on behalf of the client user, and the server code would need to include access control logic to determine whether the user was authorized to access such resources. By utilizing JAAS authorization, providing principal-based access control, the access control is handled automatically. Permissions for the security-sensitive operations in such code only need to be granted to that user and not also to the server code. See the JAAS Authorization tutorial for more information on JAAS authorization.
How does the server "impersonate" the client to execute code on behalf of the user running the client code? Essentially the same way the client code is set up to be run on behalf of that user. All the server code needs to know is the user's principal name, which it can obtain from the context established with the client.
Recall that JAAS authentication of the user executing the client
code results in creation of a Subject containing a Principal with
the user (principal) name. The Subject is subsequently associated
with a new access control context (via a
Subject.doAsPrivileged
call from the Login utility)
and the client code is considered to be executed on behalf of the
user; subsequent access control decisions are based on whether or
not that particular user, executing the client code, is granted the
required permissions.
The server code is similarly handled, except in that case the
Principal specified for authentication is typically a "service
principal", not a user principal. Again, a Subject containing a
Principal with the specified principal name is created,
Subject.doAsPrivileged
is called, and the server code
is considered to be executed on behalf of the specified principal;
subsequent access control decisions are based on whether or not
that particular principal, executing the server code, is granted
the required permissions.
Once the client and server have established a mutual context, the context initiator's name (the client's principal name) can be determined by the following:
GSSName clientGSSName = context.getSrcName();
The context acceptor (the server) can use this name to construct a Subject containing a Principal that represents the same entity. For example, if you are using a JRE from Sun Microsystems, you can construct such a Subject via the following:
Subject client = com.sun.security.jgss.GSSUtil.createSubject(clientGSSName, null);
The
createSubject method creates a new Subject from the GSSName and
GSSCredential specified as arguments. If the server code is just
going to execute code on behalf of the user in the local JVM, the
user's credentials are not required - and in fact cannot even be
obtained unless the client has delegated credentials to the server,
as discussed in Using Credentials Delegated From
the Client. Since the credentials are not needed here, we pass
a null
for the GSSCredential argument.
KerberosPrincipal principal = new KerberosPrincipal(clientGSSName.toString());
Then use this principal to construct a new Subject or populate this principal in the principal set of an existing Subject.
The code that the server would like to execute on behalf of the
user should be initiated from the run
method of a
class that implements java.security.PrivilegedAction
(or java.security.PrivilegedExceptionAction
). That is,
the code can either be in such a run
method or invoked
from such a run
method.
The server code can pass the Subject, along with an instance of
the PrivilegedAction (or PrivilegedExceptionAction), to
Subject.doAsPrivileged
to execute the subsequent code,
starting with the run
method in the PrivilegedAction,
on behalf of the principal (user) in the specified Subject.
For example, suppose the PrivilegedAction class is called ReadFileAction and it takes as an argument a String with the principal name. You can create an instance of this class by
String clientName = clientGSSName.toString(); PrivilegedAction readFile = new ReadFileAction(clientName);
The call to doAsPrivileged
is then
Subject.doAsPrivileged(client, readFile, null);
The following sample code and policy file illustrate the server impersonating the client in order to execute code whose security-sensitive operations are only permitted to be done by the specific user executing the client.
The SampleServerImp.java file
is exactly the same as the SampleServer.java file from the previous
(Use of JAAS Login Utility and Java
GSS-API for Secure Message Exchanges) tutorial, except that
after exchanging messages with the client, it has the following
code to perform a ReadFileAction
as the client
user:
System.out.println("Impersonating client."); /* * Extract the KerberosPrincipal from the client GSSName and * populate it in the principal set of a new Subject. Pass in a * null for credentials since credentials will not be needed. */ GSSName clientGSSName = context.getSrcName(); System.out.println("clientGSSName: " + clientGSSName); Subject client = com.sun.security.jgss.GSSUtil.createSubject(clientGSSName, null); /* * Construct an action that will read a file meant only for the * client */ String clientName = clientGSSName.toString(); PrivilegedAction readFile = new ReadFileAction(clientName); /* * Invoke the action via a doAsPrivileged. This allows the * action to be executed as the client subject, and it also * runs that code as privileged. This means that any permission * checking that happens beyond this point applies only to * the code being run as the client. */ Subject.doAsPrivileged(client, readFile, null);
The ReadFileAction.java file contains the ReadFileAction class. Its constructor takes as an argument a String for the name of the client user. The client username is used to construct a file name for a file from which ReadFileAction will attempt to read. The file name will be:
./data/<name>_info.txtwhere <name> is the client username without its corresponding realm. For example, if the full username is
<EMAIL_ADDRESS>, then the file
name is
./data/mjones_info.txtNote: On Microsoft Windows systems the forward slashes will be backward slashes.
The ReadFileAction run
method reads the specified
file and prints its contents.
ReadFileAction attempts to read a file, which is a security-checked operation. Since ReadFileAction is considered to be executed as the client user (Principal), the appropriate permission must be granted not only to the ReadFileAction code itself, but to the client Principal as well.
Assuming the ReadFileAction
class is placed in a
JAR file named ReadFileAction.jar
, and the user
principal name is<EMAIL_ADDRESS>,
this permission can be granted via the following in a policy
file:
grant CodeBase "file:./ReadFileAction.jar" Principal javax.security.auth.kerberos.KerberosPrincipal<EMAIL_ADDRESS>{ permission java.io.FilePermission "data/mjones_info.txt", "read"; };The serverimp.policy file is exactly the same as the
server.policy
file from the previous
(Use of JAAS Login Utility and Java
GSS-API for Secure Message Exchanges) tutorial, except that it
grants the SampleServer code the
javax.security.auth.AuthPermission "doAsPrivileged"
permission it needs in order to call the
doAsPrivileged
method, and it has the following
placeholder for granting the FilePermission shown above:
grant CodeBase "file:./ReadFileAction.jar" Principal javax.security.auth.kerberos.KerberosPrincipal "your_user_name@your_realm" { permission java.io.FilePermission "data/your_user_name_info.txt", "read"; };
You must substitute your Kerberos realm for
your_realm
, and your user name for
your_user_name
in both
your_user_name@your_realm
and
data/your_user_name_info.txt
. If you are working on a
Microsoft Windows sytem, you also replace the "/" in
data/your_user_name_info.txt
with a "\".
To run the sample code illustrating the server impersonating the client, do everything listed in Running the SampleClient and SampleServer Programs in the previous tutorial, except for the following:
SampleServer.java
. Compile it and create a
JAR file named SampleServerImp.jar
containing
SampleServerImp.class
via the following:
javac SampleServerImp.java jar -cvf SampleServerImp.jar SampleServerImp.class
server.policy
.cs.conf
.javac ReadFileAction.java jar -cvf ReadFileAction.jar ReadFileAction.class
csImpLogin.conf
, replace
"service_principal@your_realm" with the Kerberos name of the service
principal that represents SampleServer.serverimp.policy
, replace
"service_principal@your_realm" in both places it appears with the
Kerberos name of the service principal that represents
SampleServer. (The same name as that used in the login
configuration file.) In addition, substitute your Kerberos realm
for your_realm
, and your user name for
your_user_name
in both
your_user_name@your_realm
and
data/your_user_name_info.txt
. If you are running on a
Microsoft Windows system, then replace the "/" in
data/your_user_name_info.txt
with a "\".data
subdirectory of your current
directory and create a short text file of the specified name in
that directory. For example, if your user name is
mjones
, the file to be placed in the data subdirectory
should be named mjones_info.txt
.SampleServerImp
is executed,
serverimp.policy
and csImpLogin.conf
are
used, and ReadFileAction.jar
is included.
Important: In these commands, you must replace
<port_number>
with an appropriate port number (a
high port number such as 4444), <your_realm>
with your Kerberos realm, and <your_kdc>
with
your Kerberos KDC.
Here is the command for Microsoft Windows systems:
java -classpath Login.jar;SampleServerImp.jar;ReadFileAction.jar -Djava.security.manager -Djava.security.krb5.realm=<your_realm> -Djava.security.krb5.kdc=<your_kdc> -Djava.security.policy=serverimp.policy -Djava.security.auth.login.config=csImpLogin.conf Login SampleServerImp <port_number>
Here is the command for Solaris, Linux, and Mac OS X systems:
java -classpath Login.jar:SampleServerImp.jar:ReadFileAction.jar -Djava.security.manager -Djava.security.krb5.realm=<your_realm> -Djava.security.krb5.kdc=<your_kdc> -Djava.security.policy=serverimp.policy -Djava.security.auth.login.config=csImpLogin.conf Login SampleServerImp <port_number>
As usual, type the full command on one line. Multiple lines are used here for legibility. If the command is too long for your system, you may need to place it in a .bat file (for Microsoft Windows) or a .sh file (for Solaris, Linux, and Mac OS X) and then run that file to execute the command.
As when running SampleServer, you will be prompted for the
Kerberos password for the service principal under which
SampleServerImp is expected to be run. The Kerberos login module
specified in the login configuration file will log the service
principal into Kerberos. Once authentication is successfully
completed, the SampleServerImp
code will be executed
on behalf of the service principal. It will listen for socket
connections on the specified port.
After you follow the "Prepare SampleClient for Execution" and "Execute SampleClient" instructions as usual and perform the user login, the client code will request a socket connection with SampleServerImp. Once SampleServerImp accepts the connection, SampleClient and SampleServerImp establish a shared context and then exchange messages as described in the previous tutorial.
After the message exchange, SampleServerImp determines the
principal name of the user executing the client code, creates a new
Subject containing a Principal with that name, and calls
Subject.doAsPrivileged
to execute the code in
ReadFileAction on behalf of the specified user. ReadFileAction
reads the file named your_user_name_info.txt
(where
your_user_name
represents the actual user name) in the
data
subdirectory of the current directory, and prints
out its contents.
For login troubleshooting suggestions, see Troubleshooting.
The most complete type of client impersonation is possible if the client delegates its credentials to the server.
Recall that prior to context establishment with the context
acceptor (the server in our previous tutorial), the context
initiator (the client) sets various context options. If the
initiator calls the requestCredDeleg
method on the
context
object with a true
argument, as
in
context.requestCredDeleg(true);then this requests that the initiator's credentials be delegated to the acceptor during context establishment.
Delegation of credentials from the initiator to the acceptor enables the acceptor to authenticate itself as an agent or delegate of the initiator.
First, after context establishment, the acceptor must determine
whether or not credential delegation actually took place. It does
so by calling the getCredDelegState
method:
boolean delegated = context.getCredDelegState();
If credentials were delegated, the acceptor can obtain those
credentials by calling the getDelegCr
method:
GSSCredential clientCr = context.getDelegCr();
The resulting GSSCredential object can then be used to initiate subsequent GSS-API contexts as a "delegate" of the initiator. For example, the server could authenticate as the client to a backend server that cares more about who the original client was than who the intermediate server is.
Acting as the client, the server can establish a connection with the backend server, establish a joint security context, and exchange messages in basically the same manner that the client and server did.
One way it could be done is that when the server calls the
createContext
method of a GSSManager, it could pass
createContext
the delegated credentials instead of
passing a null
.
Alternatively, the server code could first call the
com.sun.security.jgss.GSSUtil createSubject
method and
pass it the delegated credentials. That method returns a Subject
containing those credentials as the default credentials. The server
could then associate this Subject with the current
AccessControlContext, as described in How Do You Associate a Subject with
an Access Control Context? in the JAAS Authorization tutorial.
Then, when the server code calls the GSSManager
createContext
method, it can pass a null (indicating
the credentials for the "current" Subject should be used). In other
words, the server would effectively become the client. Subsequent
connections to backend servers using GSS could be made exactly as
described in the previous tutorials. This approach is useful if you
want the code that will use the delegated credentials to be
identical to the code that uses the default local credentials.
In order to delegate credentials, the context initiator
(SampleClient in our previous tutorial) must have a
javax.security.auth.kerberos.DelegationPermission
. An
example using placeholders in italics for actual values is the
following:
permission javax.security.auth.kerberos.DelegationPermission "\"service_principal@your_realm\" \"krbtgt/your_realm@your_realm\"";
Note that DelegationPermission has a single target in quotes that contains two items, both of which are quoted. Each inner quote is escaped by a "\". Thus the first item is
"service_principal@your_realm"and the second is
"krbtgt/your_realm@your_realm"
This basically gives the code executing on behalf of the client
the permission to forward a Kerberos ticket to the specified peer
(service_principal), where the Kerberos ticket is meant to avail
service from
krbtgt/your_realm@your_realm
.
Substitute your realm for all places
your_realm
appears. Also substitute the service
principal name for the service principal representing the server
for service_principal@your_realm
. (See Kerberos User and Service Principal
Names in the previous tutorial.) Suppose your realm is
KRBNT-OPERATIONS.EXAMPLE.COM and the service principal is
<EMAIL_ADDRESS>Then the
permission could appear in a policy file as
permission javax.security.auth.kerberos.DelegationPermission<EMAIL_ADDRESS>\"krbtgt/KRBNT-OPERATIONS.EXAMPLE.COM@KRBNT-OPERATIONS.EXAMPLE.COM\"";


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FOXFIRE A film review by James Berardinelli Copyright 1996 James Berardinelli
RATING (0 TO 10): 5.5 Alternative Scale: ** out of ****
United States, 1996 U.S. Release Date: 8/23/96 (wide) Running Length: 1:40 MPAA Classification: R (Language, nudity, violence, mature themes) Theatrical Aspect Ratio: 2.35:1
Cast: Hedy Burress, Angeline Jolie, Jenny Lewis, Sarah Rosenberg, Jenny Shimizu, John Diehl, Richard Beymer, Peter Facinelli, Cathy Moriarty Director: Annette Haywood-Carter Producers: Jeffrey Lurie, John Bard Manulis, and John P. Marsh Screenplay: Elizabeth White based on the novel by Joyce Carol Oats Cinematography: Tom Sigel Music: Michael Columbier U.S. Distributor: The Samuel Goldwyn Company
There have been so many male bonding films over the years that it seems only fair that we're finally being exposed to the female versions. Unfortunately, like their other-gender counterparts, these tend towards cliched melodrama rather than something more insightful and character- driven. FOXFIRE, which is about five teenage girls taking a walk on the wild side, has its share of incisive, intelligent moments, but the film as a whole is undermined by a silly plot and the bland characterization of secondary players. Therefore, what could have been a younger version of last year's little-seen LIVE NUDE GIRLS devolves into something just a little loftier than an exploitation flick.
In '80s and '90s male bonding movies (there are so many out there, you can take your pick), the guys usually get together, have a few beers, and talk about girls. If the director has been influenced by Quentin Tarantino, maybe they go on a crime spree, but, mostly, they just sort of pal around, doing "guy things." If we're to believe FOXFIRE, when gals congregate, they engage in slightly more esoteric rituals, like taking their shirts off and tattooing their breasts.
It has been said that every same-sex bonding picture has a homoerotic undercurrent. This may not always be true, but there's no doubt about the lesbian leanings in FOXFIRE. The film never crosses the line from the unspoken to the acted-upon, but there are enough longing looks and pregnant pauses to make the reality of the situation apparent to even the most oblivious viewer. However, the issue of lesbianism in never confronted head-on, so we aren't given the opportunity to judge whether its inclusion would have made FOXFIRE a better motion picture.
FOXFIRE, which is based on the novel by Joyce Carol Oats, has undergone significant modernization to change the setting from the '50s to the '90s, but the theme of female empowerment is still at the forefront. The movie opens in a Portland, Oregon high school, where a nasty biology teacher (John Diehl) is tormenting a young female student, Rita (Jenny Lewis), because she won't dissect her frog. He assigns her to detention, where, as it's known, he sexually molests girls. Later that day, when Rita shows up for her after-school punishment, she's not alone. With her are four others: Maddy (Hedy Burress), a "good" student with a promising future; Violet (Sarah Rosenberg), one of the teacher's past victims; Goldie (Jenny Shimizu), an exotic-looking girl with a drug problem; and Legs (Angeline Jolie), a mysterious drifter who has just arrived in town. Led by Legs, the girls make sure the teacher won't be engaging in any more sexual harassment -- they leave him beaten and bloody. The next day, as a group, they are called into the principal's office and suspended. That's when the fun -- which includes a variety of criminal acts -- begins.
The best scenes in FOXFIRE are those where the five protagonists sit together and talk. There's a ring of truth to some of their conversations, and, during these moments, the Foxfire girls attain a multi-dimensional level that they don't have for much of the rest of the film. There are a number of weak plot developments, including the opening stuff with the biology teacher, and the climactic sequence, which involves guns and a kidnapping. Had FOXFIRE eliminated some of the melodrama and remained low-key, it would have been a more enjoyable experience.
Angeline Jolie's Legs is a rebel with a cause. With her wild nature and troubled past, she provides the spark that impels her four friends to turn their backs on conventions. As in HACKERS, Jolie's combination of sensuality and toughness makes for a beguiling portrayal. The other members of the quintet are variations of familiar types. Maddy, from whose point-of-view the story is told, is the girl-next-door with the supportive mother. Rita is the ineffectual virgin. Violet is the sexually promiscuous one. And Goldie is the pot-head with the dysfunctional family. The young actresses do solid, if unspectacular, jobs. With few exceptions, the supporting characters are unpleasant and one-dimensional -- unsympathetic adults and bullying boys.
With its themes of revenge and empowerment, FOXFIRE is big on payback; unfortunately, there's not quite enough here to recompense those who sit in the audience for its hundred-minute running time. It's not as bad as some of the other drek being released on this sad weekend, but even such faint praise doesn't earn it a recommendation.
- James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
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


Bookshelf ORM
An OR-Mapping tool which features Bookshelf, the Repository Pattern an Persistence Ignorance.
Basics
One of the key goals of this OR-Mapper is Persistence Ignorance, meaning, have clear separation from Business Logic code and infrastructure code.
For this reason, description of DB columns and relations is separate from Domain Model classes. This is the Mapping.
The idea of the accompanying Repository is to encapsulate all DB related operations and specialized queries.
Examples
First, you need an instance of the MappingRegistry:
const { DBMappingRegistry } = require("@geoinfo/bookshelf-orm");
const registry = DBMappingRegistry.getInstance();
In this registry, you register your DB-Tables and fields:
registry.register("CarDBMapping", "test", {
tableName: "myschema.car",
columns: ["id", "name", "model_name"]
});
Since we want to separate Mapping and DB related stuff from Domain Objects, you might want to create a separate Class to hold additional logic.
This class does not have to "know" anything about the OR-Mapper, and does not have to extend a certain base class. You are free to do whatever you wish:
class Car {
accelecate() {
// ...
}
}
In order to fetch and save entities, you need a Repository. Here you have to extend the base implementation EntityRepository
and specify your domain class (or Object
if you don't need one):
const { EntityRepository, DBMappingRegistry } = require("@geoinfo/bookshelf-orm");
const registry = DBMappingRegistry.getInstance();
class CarRepository extends EntityRepository {
constructor() {
super(Car, registry.compile("CarDBMapping"))
}
}
Basic usage
The base repository implementation has a number of useful methods, mainly simple CRUD.
const carRepository = new CarRepository();
const allCars = await carRepository.findAll();
const carNumberOne = await carRepository.findOne(3);
const myCar = await carRepository.newEntity();
myCar.name = "Little red corvette";
await carRepository.save(myCar);
await carRepository.remove(myCar);
Specialized queries can be added to the repository, in order to encapsulate all DB access.
The query callback argument is a preinitialized knex instance:
class CarRepository extends EntityRepository {
// ...
async findAllCorvettes() {
return this.findAllWhere((q) => q.where("name", "like", "%corvette%"))
}
}
A more direct option to access the DB with knex is Mapping.createQuery
:
class CarRepository extends EntityRepository {
// ...
async findAllCorvettes() {
return this.Mapping.createQuery().where("name", "like", "%corvette%").select("name");
}
}
These are the basics, for extended documentation see EntityRepository class documentation and
the DBMappingRegistry documentation.
Cascading save and remove operations
Only operating on one table is no fun. This OR-Mapper supports loading, saving and removing deep relations:
registry.register("CarDBMapping", "test", {
tableName: "myschema.car",
columns: ["id", "name", "model_name"],
relations: [{
name: "parts",
type: "hasMany",
references: {
type: Part,
mapping: "PartDBMapping",
mappedBy: "car_id",
orphanRemoval: true,
cascade: true
}
}]
});
registry.register("PartDBMapping", "test", {
tableName: "datadictionary.part",
columns: ["id", "name"]
});
Anything thats modified in parts will now be saved to DB and loaded when a car is fetched.
Helpermethods to instantiate and add/remove relations are injected to the domain class:
const part = car.newParts();
part.name = "Engine";
car.addParts(part);
console.log(car.parts); // [{ id: 2, carId: 1, name: "Engine" }]
Changes to the original array are not reflected in the internal state.
It can safely be forwarded to services etc. and is a regular JS array without magic.
This kind of mapping, "hasMany"
, is the most complicated. There are two other types: "hasOne"
and "belongsTo"
.
Both of them reference only one object, and can be modified with simple assignment.
The difference between the two is, in which table the foreign key is located.
A "hasOne"
mapping expects the FK column in the related table:
registry.register("CarDBMapping", "test", {
tableName: "datadictionary.car",
columns: ["id", "name", "model_name"],
relations: [{
name: "parkingSpace",
type: "hasOne",
references: {
mapping: "ParkingSpaceDBMapping",
mappedBy: "car_id"
}
}]
});
registry.register("ParkingSpaceDBMapping", "test", {
tableName: "datadictionary.parking_space",
columns: ["id", "name", "car_id"]
});
While "belongsTo"
assumes the FK to be in the table where the relation is started on:
registry.register("CarDBMapping", "test", {
tableName: "datadictionary.car",
columns: ["id", "name", "model_name", "owner_id"],
relations: [{
name: "owner",
type: "belongsTo",
references: {
mapping: "OwnerDBMapping"
}
}]
});
registry.register("OwnerDBMapping", "test", {
tableName: "datadictionary.owner",
columns: ["id", "name"]
});
For more about mappings see BookshelfMapping documentation
Or have a look at the unit tests and mocks, all examples are copied from /test/db/mappings.js
.
SQL Columns
Sometimes it is convenient to transform or calculate columns. This can be done directly in the mapping:
registry.register("CarDBMapping", "test", {
tableName: "datadictionary.car",
columns: ["id", "name", "model_name", {
name: "description",
type: "sql",
get: "lower(coalesce(car.name, '') || '::' || coalesce(model_name))"
}, {
name: "serial_number",
type: "sql",
get: () => "upper(car.serial_number)",
set: (v) => "lower('" + v + "')"
}]
});
JSON Columns
PostgreSQL has support for JSON. For the OR-Mapper to correctly parse and serialize JSON, you must mark these columns in the mapping:
registry.register("PersonDBMapping", "test", {
tableName: "datadictionary.person",
identifiedBy: "name",
columns: ["name", "age", {
name: "things",
type: "json"
}]
});
Transactions
Generally all operations should support transactions for safety.
Most of the time Transaction Control should be left to the "client", meaning outside of the repository.
This is supported by passing { transactional: true }
in options or wrapping multiple calls in repository.executeTransactional
:
await carRepository.save(myCar, { transactional: true });
Or the more complex case
const options = { transactional: true };
await carRepository.executeTransactional(() => {
await carRepository.save(myCar, options);
myCar.name = "new name";
await carRepository.save(myCar, options);
}, options);
If anything in the call fails, be it DB or an error in the code, the transaction will be rolled back.
Once all promises resolve, the transaction will be committed.
Circular references
Not supported. Generally advised against.


Students deserve the best life experience during their time at Hanze University of Applied Sciences in Groningen. That's why the Forum for Unified Communication Technology will be there for all students of the School of Communication, Media and IT at Hanze UAS!
RealTime and KIC will combine forces and, as of the 1st of September 2017, merge and rebrand into the Forum for Unified Communication Technology. The associations will be terminated and the memberships of members of S.V. RealTime and S.V. KIC, including study sections GLiTCH and ICU, will end as of the 1st of September.
We will connect all students at the School of Communication, Media & IT.
Don't get lost! There will be one office for all students to ask all their questions.
More events for all majors. LAN party's, workshops, monthly drinks and a lot more!
Memberships no longer exist! The board can now focus on organising great things for all students.
All students can now benefit from RealTime's seventeen years of experience and professionality.
Study sections will be terminated and all students can benefit from each other's experiences and knowledge.
Thanks to KIC's experiences, we can aid in integrating international students in Groningen's wonderful student life.
Students are able to get in touch with the best companies and other organisations from Stad & Ommeland, and far beyond.


Roll a d20 at the end of each of your turns for the duration of the spell. On a roll of 11 or higher, you vanish from your current plane of existence and appear in the Ethereal Plane (the spell fails and the casting is wasted if you w ere already on that plane). At the start of your next turn, and when the spell ends if you are on the Ethereal Plane, you return to an unoccupied space of your choice that you can see within 10 feet of the space you vanished from. If no unoccupied space is available within that range, you appear in the nearest unoccupied space (chosen at random if more than one space is equally near). You can dismiss this spell as an action.
While on the Ethereal Plane, you can see and hear the plane you originated from, which is cast in shades of gray, and you can't see anything there more than 60 feet away. You can only affect and be affected by other creatures on the Ethereal Plane.


#ATTACK!!!
import pyaudiogame
spk = pyaudiogame.speak
MyApp = pyaudiogame.App("My Application")
#Lets create a storage box so we can put our draggon's hp in there
from pyaudiogame import storage
#Now lets make our draggon's hp in the storage
storage.dragon_hp = 100
#Now lets make our hero's hit strength
hero_hit = 10
#An attack function
def attack():
#When the hero attacks he takes the dragon's hp
storage.dragon_hp = storage.dragon_hp - hero_hit
#Now lets make a way for our hero to attack
def logic(actions):
key = actions['key']
if key == "space" and storage.dragon_hp > 0:
attack()
spk("You, the hero of our tail swing your sword. You hit the dragon for %s damage! Now our poor dragon has %s hp left" % (hero_hit, storage.dragon_hp))
if storage.dragon_hp <= 0:
spk("You, the hero of our story killed the dragon. The whole town thanks you!")
spk("Press escape to go back home")
MyApp.logic = logic
MyApp.run()
Press space and you should hear:
"You, the hero of our tail swing your sword. You hit the dragon for 10 damage!  You hit the dragon for 10 damage! Now our poor dragon has 80 hp left"
Hit space 8 more times and you will hear:
"You, the hero of our tail swing your sword. You hit the dragon for 10 damage! Now our poor dragon has 0 hp left"
"You, the hero of our story killed the dragon. The whole town thanks you!"
"Press escape to go back home"
Lets go through the code line by line:
#ATTACK!!!
import pyaudiogame
spk = pyaudiogame.speak
MyApp = pyaudiogame.App("My Application")
These are just the normal magical lines we have had all throughout.
#Lets create a storage box so we can put our draggon's hp in there
storage = pyaudiogame.cash
pyaudiogame has a module for storing data. That probably makes no sense right now, but in the next few lessons you will learn all about this. Just know that after writing this line, you can store variables in storage. People may say something about "global" variables and those are used, but this way is more "pythonic" and safer as there is no way you will mistake storage.dragon_hp
for anything except for what it is. In pyaudiogame.storage there is also some features for saving data from one session to the next you will learn about later.
#Now lets make our draggon's hp in the storage
storage.dragon_hp = 100
Here is how we store our variable that we will be accessing later in the program. You can store any variable in storage, it is just like what we do with normal variables, but we can change this variable.
#Now lets make our hero's hit strength
hero_hit = 10
This is a variable we've seen before. Here is another term: "constant" The hero_hit will not be changed throughout the life of our program, so it is called a "constant variable".
#An attack function
def attack():
#When the hero attacks he takes the dragon's hp
storage.dragon_hp = storage.dragon_hp - hero_hit
Here is what seperates a constant from a variable in storage. The variable in storage can be added to or subtracted or changed completely where as the constant must stay the same. Go ahead and try to make dragon_hp
a constant and run the program. Do you see that error? It is saying that there is no variable named dragon_hp
even though you wrote it right above. This is because there is a thing in python called a "namespace". This means that a file has a namespace and a function has its own namespace. The function can see the file's namespace, but only on a read-only basis. The file can't see the function's namespace at all.
This is to help you keep your program organized and easy to read. It also allows for great functionality when you start writing your game in many files (what we will go over later).
#Now lets make a way for our hero to attack
def logic(actions):
key = actions['key']
if key == "space" and storage.dragon_hp > 0:
attack()
spk("You, the hero of our tail swing your sword. You hit the dragon for %s damage! Now our poor dragon has %s hp left" % (hero_hit, storage.dragon_hp))
if storage.dragon_hp <= 0:
spk("You, the hero of our story killed the dragon. The whole town thanks you!")
spk("Press escape to go back home")
Here we are using 2 if statements. 1 will remove hp and run the attack function if the dragon's hp is above 0. The other if statement will run only if the dragon's hp is 0 or below.
MyApp.logic = logic
MyApp.run()
Our last two magic statements. But notice that MyApp.logic, MyApp.run() and pyaudiogame.storage look the same. They are all methods of storage. You can save functions into storage by just treating them like variables and using them without the (). So go ahead and change it so that all the code accesses attack from storage.attack(). Look at these last two lines if you don't know how to get attack into storage.
One of the pillars of programming is the ability to change variables. You can do this with several operators:
| + | Adds together variables |
| - | subtracts variables from one another |
| * | multiplies variables together |
| / | divides variables by one another |
| % | Will give the remaindor of 2 variables divided together |
| ** | Finds to the power of |
Along with the above you can combine = with +-*/
to get something that looks like x += y. This is short-hand for writing:
x = x + y
Short-hand:
x += y
Variables are classified into several types. There are 4 that people run into all the time:
string (str)
intiger (int)
float (float)
bool (bool)
We looked at strings the first lesson. They are characters like what you are reading now, but between quotes.
string1 = "This is a string"
Intigers are any number that is not in a quote.
num = 10
floating-point numbers are numbers with a point:
float1 = 2.789
A bool is what we looked at in the last lesson, it is a True or False value:
bool1 = False
You can use the operators on ints, floats and strings. Ints and floats can be combined to create a float, but strings can only be added to other strings or multiplied by ints. Bools can't be combined with anything.
Strings have this nice feature called "string formatting" that allows us to insert variables of other types into a string. There is a huge list of string formatting commands, but the one that is most used is:
%s
This converts all variables to a string. Here is an example:
age = 10
weight = 100.35
name = "Fred"
"%s is %s years old and has a weight of %s lbs" % (name, age, weight)
"Hello, I am %s" % name
"If you are %s pounds, I'll pull you out of that bed so we can go walking %s Greggery James!" % (weight, name)
If you inserted the lines with quotes into spk(), they will run just fine.
%s
. Also see what all the different types are. Also find why people would use the other %
characters and not just stick to %s
when %s
works all the time.


Go to home screen to check progress.
In order to use any application install from Ignition, you will need to trust the enterprise certificate we are currently using.
In order to trust these certificates you need to go to Settings -> General -> Profiles or Profiles and Device Management. Under the Enterprise App title, you will see a link which say the name on the Untrusted Enterprise Developer. Tap this link and tap on Trust. You will need to confirm you want to trust the profile, after doing that apps should now launch.
Usually this error may happen when Apple has revoked our certificate.
If Apple has revoked our certificate you will have to wait a few hours for us to fix this.
Another reason may be that you already have an app install with the same Bundle ID.
To fix this you need to remove any versions of the app you are trying to install that you may currently have on your device.
Sometimes it may take a few seconds for the prompt to show up due to server load or internet speeds.
So, just be patient. If you have been waiting for more than a minute try restarting Ignition.
If that doesn't work, try a new internet connection and try again.
Finally, if all else fails, send us a Direct Message on Twitter @useignition and we will try help you solve the problem.


All is well, my Lord.
What is your command?
Open the Terrace Gates
Close the Terrace Gates
Open All Castle Gates
Close All Castle Gates