The document discusses using a code generator to wrap C/C++ libraries for use in Ring applications. It describes the configuration file format used as input, including defining function prototypes, structures, constants, and code snippets. Running the code generator takes the configuration file and generates C header and source files that interface with the Ring API. Examples are provided wrapping Allegro functions. The generator handles type checking, conversions, and generates thorough wrapper code with little effort from the programmer.
What We Talk About When We Talk About Unit TestingKevlin Henney
Presented at ACCU (23rd April 2015)
These days unit testing is considered sexy for programmers. Who'd have thought it? But there is a lot more to effective programmer testing than the fashionable donning of a unit-testing framework: writing Good Unit Tests (GUTs) involves (a lot) more than knowledge of assertion syntax.
Testing represents a form of communication and, as such, it offers multiple levels and forms of feedback, not just basic defect detection. Effective unit testing requires an understanding of what forms of feedback and communication are offered by tests, and what styles encourage or discourage such qualities.
What styles of test partitioning are common, and yet scale poorly, are uncohesive and are ineffective at properly expressing the behaviour of a class or component? What styles, tricks and tips can be used to make tests more specification-like and scalable to large codebases? How do we choose between scenario-based and property-based test cases?
Presented at ACCU Oxford (14th September 2015)
Functional C++? As opposed to what — dysfunctional? Well, kind of, yeah. Sure, in C++ the principal unit of composition is called a function, but that doesn't mean it's a functional language. And the idea of restricting mutability of state gets a nod with const, but it's a nod not a hug. And the STL shows influences of functional programming, although it falls short of being compositional. And, yes, sure, C++11 has lambdas, but then again, these days, who doesn't? Lambda calculus was invented in the 1930s.
This talk looks at how to express functional programming ideas in (post)modern C++ in a way that can be considered idiomatic to C++, rather than trying to use the power of overloading and meta-programming to pretend C++ is Haskell or Lisp. In short, immutability beyond const and into shared and persistent data structures, concurrency beyond threading and locks, and thinking about functions as transformations and units of composition rather than actions.
Presented at DevWeek (25th March 2015)
These days, testing is considered a sexy topic for programmers. Who’d have thought it? But what makes for good unit tests (GUTs)? There’s more to effective unit testing than just knowing the assertion syntax of a testing framework.
Testing represents a form of communication and, as such, it offers multiple levels and forms of feedback, not just basic defect detection. Effective unit testing requires an understanding of what forms of feedback and communication are offered by tests, and what styles encourage or discourage such qualities.
What style of test partitioning is most common, and yet scales poorly and is ineffective at properly expressing the behaviour of a class or component? What styles, tricks and tips can be used to make tests more specification-like and can scale as the codebase grows?
This session will address these questions and outline exactly what makes a good unit test.
What We Talk About When We Talk About Unit TestingKevlin Henney
Presented at ACCU (23rd April 2015)
These days unit testing is considered sexy for programmers. Who'd have thought it? But there is a lot more to effective programmer testing than the fashionable donning of a unit-testing framework: writing Good Unit Tests (GUTs) involves (a lot) more than knowledge of assertion syntax.
Testing represents a form of communication and, as such, it offers multiple levels and forms of feedback, not just basic defect detection. Effective unit testing requires an understanding of what forms of feedback and communication are offered by tests, and what styles encourage or discourage such qualities.
What styles of test partitioning are common, and yet scale poorly, are uncohesive and are ineffective at properly expressing the behaviour of a class or component? What styles, tricks and tips can be used to make tests more specification-like and scalable to large codebases? How do we choose between scenario-based and property-based test cases?
Presented at ACCU Oxford (14th September 2015)
Functional C++? As opposed to what — dysfunctional? Well, kind of, yeah. Sure, in C++ the principal unit of composition is called a function, but that doesn't mean it's a functional language. And the idea of restricting mutability of state gets a nod with const, but it's a nod not a hug. And the STL shows influences of functional programming, although it falls short of being compositional. And, yes, sure, C++11 has lambdas, but then again, these days, who doesn't? Lambda calculus was invented in the 1930s.
This talk looks at how to express functional programming ideas in (post)modern C++ in a way that can be considered idiomatic to C++, rather than trying to use the power of overloading and meta-programming to pretend C++ is Haskell or Lisp. In short, immutability beyond const and into shared and persistent data structures, concurrency beyond threading and locks, and thinking about functions as transformations and units of composition rather than actions.
Presented at DevWeek (25th March 2015)
These days, testing is considered a sexy topic for programmers. Who’d have thought it? But what makes for good unit tests (GUTs)? There’s more to effective unit testing than just knowing the assertion syntax of a testing framework.
Testing represents a form of communication and, as such, it offers multiple levels and forms of feedback, not just basic defect detection. Effective unit testing requires an understanding of what forms of feedback and communication are offered by tests, and what styles encourage or discourage such qualities.
What style of test partitioning is most common, and yet scales poorly and is ineffective at properly expressing the behaviour of a class or component? What styles, tricks and tips can be used to make tests more specification-like and can scale as the codebase grows?
This session will address these questions and outline exactly what makes a good unit test.
20145-5SumII_CSC407_assign1.htmlCSC 407 Computer Systems II.docxeugeniadean34240
20145-5SumII_CSC407_assign1.html
CSC 407: Computer Systems II: 2015 Summer II, Assignment #1
Last Modified 2015 July 21Purpose:
To go over issues related to how the compiler and the linker
serve you, the programmer.
Computing
Please ssh into ctilinux1.cstcis.cti.depaul.edu, or use your own Linux machine.
Compiler optimization (45 Points)
Consider the following program.
/* q1.c
*/
#include <stdlib.h>
#include <stdio.h>
#define unsigned int uint
#define LENGTH ((uint) 512*64)
int initializeArray (uint len,
int* intArray
)
{
uint i;
for (i = 0; i < len; i++)
intArray[i] = (rand() % 64);
}
uint countAdjacent (int maxIndex,
int* intArray,
int direction
)
{
uint i;
uint sum = 0;
for (i = 0; i < maxIndex; i++)
if ( ( intArray[i] == (intArray[i+1] + direction) ) &&
( intArray[i] == (intArray[i+2] + 2*direction) )
)
sum++;
return(sum);
}
uint funkyFunction (uint len,
int* intArray
)
{
uint i;
uint sum = 0;
for (i = 0; i < len-1; i++)
if ( (i % 8) == 0x3 )
sum += 7*countAdjacent(len-2,intArray,+1);
else
sum += 17*countAdjacent(len-2,intArray,-1);
return(sum);
}
int main ()
{
int* intArray = (int*)calloc(LENGTH,sizeof(int));
initializeArray(LENGTH,intArray);
printf("funkyFunction() == %d\n",funkyFunction(LENGTH,intArray));
free(intArray);
return(EXIT_SUCCESS);
}
(8 Points) Compile it for profiling but with no extra optimization with:
$ gcc -o q1None -pg q1.c # Compiles q1.c to write q1None to make profile info
$ ./q1None # Runs q1None
$ gprof q1None # Gives profile info on q1None
Be sure to scroll all the way to the top of gprof output!
What are the number of self seconds taken by:
FunctionSelf secondsinitializeBigArray()__________countAdjaceent()__________funkyFunction()__________
(8 Points)
How did it do the operation (i % 8) == 0x3?
Was it done as a modulus (the same as an expensive division, but returns the remainder instead of the quotient) or something else?
Show the assembly language for this C code
using gdb to dissassemble
funkyFunction() of q1None.
Hint: do:
$ gdb q1None
. . .
(gdb) disass funkyFunction
Dump of assembler code for function funkyFunction:
. . .
and then look for the code that sets up the calls to countAdjacent().
The (i % 8) == 0x3 test is done before either countAdjacent() call.
(8 Points) Compile it for profiling but with optimization with:
$ gcc -o q1Compiler -O1 -pg q1.c # Compiles q1.c to write q1Compiler to make profile info
$ ./q1Compiler # Runs q1Compiler
$ gprof q1Compiler # Gives profile info on q1Compiler
What are the number of self seconds taken by:
FunctionSelf secondsinitializeBigArray()__________countAdjacent()__________funkyFunction()__________(8 Points) Use gdb to dissassemble countAdjacent() of both q1None and q1.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
The Ring programming language version 1.5.3 book - Part 91 of 184
1. CHAPTER
SEVENTY
EMBEDDING RING LANGUAGE IN C/C++ PROGRAMS
We can use the Ring language from C/C++ programs using the next functions
RingState *ring_state_init();
ring_state_runcode(RingState *pState,const char *cCode);
ring_state_delete(RingState *pState);
70.1 Ring State
The idea is to use the ring_state_init() to create new state for the Ring Language then call the ring_state_runcode()
function to execut Ring code using the same state. When we are done, we call the ring_state_delete() to free the
memory.
Example:
#include "ring.h"
#include "stdlib.h"
int main(int argc, char *argv[])
{
RingState *pState = ring_state_init();
printf("welcomen");
ring_state_runcode(pState,"see 'hello world from the ring programming language'+nl");
ring_state_delete(pState);
}
Output:
welcome
hello world from the ring programming language
70.2 Ring State Functions
The Ring API comes with the next functions to create and delete the state. Also we have functions to create new
variables and get variables values.
RingState * ring_state_init ( void ) ;
RingState * ring_state_delete ( RingState *pRingState ) ;
void ring_state_runcode ( RingState *pRingState,const char *cStr ) ;
List * ring_state_findvar ( RingState *pRingState,const char *cStr ) ;
List * ring_state_newvar ( RingState *pRingState,const char *cStr ) ;
void ring_state_main ( int argc, char *argv[] ) ;
775
2. Ring Documentation, Release 1.5.3
void ring_state_runfile ( RingState *pRingState,const char *cFileName ) ;
void ring_state_runobjectfile ( RingState *pRingState,const char *cFileName ) ;
70.3 Ring State Variables
We can create more than one ring state in the same program and we can create and modify variable values.
To get the variable list we can use the ring_state_findvar() function.
To create new variable we can use the ring_state_newvar() function.
Example:
#include "ring.h"
#include "stdlib.h"
int main(int argc, char *argv[])
{
List *pList;
RingState *pState = ring_state_init();
RingState *pState2 = ring_state_init();
printf("welcomen");
ring_state_runcode(pState,"see 'hello world from the ring programming language'+nl");
printf("Again from C we will call ring coden");
ring_state_runcode(pState,"for x = 1 to 10 see x + nl next");
ring_state_runcode(pState2,"for x = 1 to 5 see x + nl next");
printf("Now we will display the x variable value from ring coden");
ring_state_runcode(pState,"see 'x value : ' + x + nl ");
ring_state_runcode(pState2,"see 'x value : ' + x + nl ");
pList = ring_state_findvar(pState,"x");
printf("Printing Ring variable value from C , %.0fn",
ring_list_getdouble(pList,RING_VAR_VALUE));
printf("now we will set the ring variable value from Cn");
ring_list_setdouble(pList,RING_VAR_VALUE,20);
ring_state_runcode(pState,"see 'x value after update : ' + x + nl ");
pList = ring_state_newvar(pState,"v1");
ring_list_setdouble(pList,RING_VAR_VALUE,10);
pList = ring_state_newvar(pState,"v2");
ring_list_setdouble(pList,RING_VAR_VALUE,20);
ring_state_runcode(pState,"see 'v1 + v2 = ' see v1+v2 see nl");
ring_state_runcode(pState,"see 'end of test' + nl");
ring_state_delete(pState);
70.3. Ring State Variables 776
3. Ring Documentation, Release 1.5.3
ring_state_delete(pState2);
}
Output:
welcome
hello world from the ring programming language
Again from C we will call ring code
1
2
3
4
5
6
7
8
9
10
1
2
3
4
5
Now we will display the x variable value from ring code
x value : 11
x value : 6
Printing Ring variable value from C , 11
now we will set the ring variable value from C
x value after update : 20
v1 + v2 = 30
end of test
70.3. Ring State Variables 777
4. CHAPTER
SEVENTYONE
CODE GENERATOR FOR WRAPPING C/C++ LIBRARIES
In this chapter we will learn how to use the code generator to wrap C/C++ Libraries to use it in our Ring applications.
71.1 Using the tool
The code generator program is parsec.ring that can be executed as any ring code using the ring language.
URL : https://github.com/ring-lang/ring/tree/master/extensions/codegen
for example to read a configuration file called test.cf to generate the source code file test.c run parsec.ring as in the
next command
ring parsec.ring test.cf test.c
71.2 Configuration file
The configuration file (*.cf) is the input file that we pass to the code generator. This file determine the functions
prototypes that we need to use from a C/C++ library.
Writing configuration files is simple according to the next rules
71.3 Using the function prototype
• To generate code that wraps a C function, we just write the C function prototype
Example:
ALLEGRO_DISPLAY *al_create_display(int w, int h)
void al_destroy_display(ALLEGRO_DISPLAY *display)
int al_get_new_display_flags(void)
void al_set_new_display_flags(int flags)
int al_get_new_display_option(int option, int *importance)
The previous example will guide the code generator to generate 5 functions that wraps the al_create_display(),
al_destroy_display(), al_get_new_display_flags(), al_set_new_diplay_flas() and al_get_new_display_option() func-
tions.
The generated code will be as in the next example
778
6. Ring Documentation, Release 1.5.3
{
if ( RING_API_PARACOUNT != 2 ) {
RING_API_ERROR(RING_API_MISS2PARA);
return ;
}
if ( ! RING_API_ISNUMBER(1) ) {
RING_API_ERROR(RING_API_BADPARATYPE);
return ;
}
if ( ! RING_API_ISSTRING(2) ) {
RING_API_ERROR(RING_API_BADPARATYPE);
return ;
}
RING_API_RETNUMBER(al_get_new_display_option( (int ) RING_API_GETNUMBER(1),
RING_API_GETINTPOINTER(2)));
RING_API_ACCEPTINTVALUE(2) ;
}
from the previous example we can see how much of time and effort is saved using the Code Generator.
71.4 Adding code to the generated code
• To generate code directly type it between <code> and </code>
Example :
<code>
/* some C code will be written here */
</code>
We use this feature when we need to do something without the help of the code generator. for example including
header files and defining constants using Macro.
71.5 Prefix for Functions Names
• To determine a prefix in all of the functions names type it between <funcstart> and </funcstart> for ex-
ample when we wrap the Allegro game programming library and we need all of the library functions
to start with “al” we type the next code in the configuration file
<funcstart>
al
</funcstart>
71.6 Generate function to wrap structures
• To generate functions that wrap structures (create/delete/get structure members)
just type the structures names between <struct> and </struct> also after the structure name you can type the structure
members between { } separated by comma.
Example
71.4. Adding code to the generated code 780
7. Ring Documentation, Release 1.5.3
<struct>
ALLEGRO_COLOR
ALLEGRO_EVENT { type , keyboard.keycode , mouse.x , mouse.y }
</struct>
from the previous example we will generate two function to create/delete the structure ALLEGRO_COLOR Also we
will generate two functions to create/delete the structure ALLEGRO_EVENT and four functions to get the structure
ALLEGRO_EVENT members (type, keyboard.keycode, mouse.x, mouse.y).
71.7 Determine Structure Members Types
You can determine the pointer name before the strucuture member name.
Example:
SDL_Surface {flags,SDL_PixelFormat *format,w,h,pitch,void *pixels}
71.8 Defining Constants
You can define constants using <constant> and </constant>
The generator will generate the required functions to get the constant values
And will define the constants to be used with the same name in Ring code using *.rh file that will be generated too.
rh = Ring Header
Example:
<constant>
MIX_DEFAULT_FORMAT
SDL_QUIT
SDL_BUTTON_LEFT
SDL_BUTTON_MIDDLE
SDL_BUTTON_RIGHT
</constant>
Note: You will need to pass the *.rh file name to parsec.ring after the generated source file name.
Example:
ring ..codegenparsec.ring libsdl.cf ring_libsdl.c ring_libsdl.rh
71.9 Register New Functions
We can register functions by typing the function prototype between <register> and </register> We need this feature
only when we don’t provide the function prototype as input directly where we need to write the code of this function.
Example:
<register>
void al_exit(void)
</register>
71.7. Determine Structure Members Types 781
8. Ring Documentation, Release 1.5.3
<code>
RING_FUNC(ring_al_exit)
{
if ( RING_API_PARACOUNT != 0 ) {
RING_API_ERROR(RING_API_BADPARACOUNT);
return ;
}
exit(0);
}
</code>
In the previous example we register the al_exit() function. This function is not part of the Allegro Library, it’s just an
extra function that we need to add. Then the code if this function is written inside <code> and </code>. This function
call the exit() function from the C language library.
71.10 Writing comments in the configuration file
• To type comments just type it between <comment> and </comment>
Example:
<comment>
configuration files
</comment>
71.11 Executing code during code generation
• To ask from the code generator to execute Ring code during reading the configuration file, just
write the code between <runcode> and </runcode>
Example:
<runcode>
aNumberTypes + "al_fixed"
</runcode>
The previoud line of code add the string “al_fixed” to the list aNumberTypes, This list contains types that can be
considered as numbers when the code generator find it in the function prototype.
71.12 Enum and Numbers
We have the list aEnumTypes to use for adding each Enumeration we uses in the functions prototype.
Example:
<runcode>
aNumberTypes + "qreal"
aNumberTypes + "qint64"
aEnumTypes + "Qt::GestureType"
aEnumTypes + "Qt::GestureFlag"
</runcode>
71.10. Writing comments in the configuration file 782
9. Ring Documentation, Release 1.5.3
71.13 Filtering using Expressions
using <filter> and </filter> we can include/exclude parts of the configuration file based on a condition, for example
<filter> iswindows()
... functions related to windows
</filter>
71.14 Constants Type
The default type for constant is Number But Some constants may be another type, for example (pointer : void *)
before using <constant> and </constant> we can use <runcode> and </runcode> to determine the constant type using
two global variables used by the code generator.
The first variable is $nDefaultConstantType which can be * C_CONSTANT_TYPE_NUMBER *
C_CONSTANT_TYPE_STRING * C_CONSTANT_TYPE_POINTER
if we are using C_CONSTANT_TYPE_POINTER then we will need the second global variable which is $cDefault-
ConstantPointerType to determine the pointer type.
Example :
The next example uses this feature to define constants in the FreeGLUT library
<runcode>
$nDefaultConstantType = C_CONSTANT_TYPE_POINTER
$cDefaultConstantPointerType = "void"
</runcode>
<constant>
GLUT_STROKE_ROMAN
GLUT_STROKE_MONO_ROMAN
GLUT_BITMAP_9_BY_15
GLUT_BITMAP_8_BY_13
GLUT_BITMAP_TIMES_ROMAN_10
GLUT_BITMAP_TIMES_ROMAN_24
GLUT_BITMAP_HELVETICA_10
GLUT_BITMAP_HELVETICA_12
GLUT_BITMAP_HELVETICA_18
</constant>
71.15 Configuration file for the Allegro Library
The next configuration file enable us to use the Allegro library functions. The configuration file size is less than 1000
lines. when the code generator take this file as input the generated source code file in the C language will be 12000
lines of code!
We can see this configuration file as a complete example about using the code generator Also we can use it to know
the functions that can be used from RingAllegro when you use it to create 2D games!
<code>
#define ALLEGRO_NO_MAGIC_MAIN
#include <allegro5/allegro.h>
#include "allegro5/allegro_image.h"
71.13. Filtering using Expressions 783
10. Ring Documentation, Release 1.5.3
#include <allegro5/allegro_font.h>
#include <allegro5/allegro_ttf.h>
#include <allegro5/allegro_audio.h>
#include <allegro5/allegro_acodec.h>
#include <allegro5/allegro_opengl.h>
#include <allegro5/allegro_direct3d.h>
#include <allegro5/allegro_color.h>
#include <allegro5/allegro_memfile.h>
#include "allegro5/allegro_native_dialog.h"
#include <allegro5/allegro_physfs.h>
#include <allegro5/allegro_primitives.h>
</code>
<funcstart>
al
</funcstart>
<struct>
ALLEGRO_EVENT { type , keyboard.keycode , mouse.x , mouse.y }
ALLEGRO_TIMEOUT
ALLEGRO_SAMPLE_ID
ALLEGRO_COLOR
</struct>
<register>
void al_exit(void)
</register>
<code>
RING_FUNC(ring_al_exit)
{
if ( RING_API_PARACOUNT != 0 ) {
RING_API_ERROR(RING_API_BADPARACOUNT);
return ;
}
exit(0);
}
</code>
int al_init(void)
<comment>
configuration files
</comment>
<runcode>
aNumberTypes + "al_fixed"
</runcode>
ALLEGRO_CONFIG *al_create_config(void)
void al_destroy_config(ALLEGRO_CONFIG *config)
ALLEGRO_CONFIG *al_load_config_file(const char *filename)
ALLEGRO_CONFIG *al_load_config_file_f(ALLEGRO_FILE *file)
bool al_save_config_file(const char *filename, const ALLEGRO_CONFIG *config)
bool al_save_config_file_f(ALLEGRO_FILE *file, const ALLEGRO_CONFIG *config)
void al_add_config_section(ALLEGRO_CONFIG *config, const char *name)
Note: we just provided part of the configuration file, for complete copy check the Ring source code distribution.
71.15. Configuration file for the Allegro Library 784