<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:georss='http://www.georss.org/georss' xmlns:gd='http://schemas.google.com/g/2005' xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-1851608119686770898</id><updated>2012-01-24T06:09:44.410-08:00</updated><title type='text'>Software Testing &amp; QTP</title><subtitle type='html'></subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default?max-results=100'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><link rel='next' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default?start-index=101&amp;max-results=100'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>223</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>100</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-2655373207330698567</id><published>2012-01-24T06:03:00.000-08:00</published><updated>2012-01-24T06:09:44.430-08:00</updated><title type='text'>Difference between Smoke test and sanity tests</title><content type='html'>&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Smoke Testing&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Initially, smoke testing originated during the testing of hardware for the first time and it was considered a success in case of no smoke and fire coming out. Hence the name smoke testing. It is basically done to check if a build received can be accepted to perform testing any further or not. You can consider this a shallow approach that in smoke testing, most critical areas of the application are testing without getting into too much details.In order words, it is done to check the build stability. Then only it is accepted for further testing. Otherwise the build is marked as fail and QA team doesnt perform any tests on the build. Smoke testing is also called build verification testing.&lt;br /&gt;&lt;br /&gt;Some essential points about smoke testing:-&lt;br /&gt;&lt;br /&gt;# A smoke test is a subset of all test cases that are a part of overall test plan.&lt;br /&gt;# Smoke tests are good for verifying proper deployment or other non invasive changes.&lt;br /&gt;# Smoke tests can never replace actual functional testing.&lt;br /&gt;# A smoke test is usually coded, either using a written set of tests or an automated test as it is performed on each and every build.&lt;br /&gt;# You can consider smoke tests as a normal health check up of a build before taking it to testing in depth.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Sanity testing:&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;After accepting the smoketest or certifying the build, a subset of regression test cases are executed that to check no other defect has been introduced in the new build. Sometimes, when multiple cycles of regression testing are executed, sanity testing of the software can be done at later cycles after through regression test cycles. If we are moving a build from staging / testing server to production server, sanity testing of the software application can be done to check that whether the build is sane enough to move to further at production server or not.&lt;br /&gt;&lt;br /&gt;Some essential points about sanity testing are:-&lt;br /&gt;&lt;br /&gt;# A sanity test is a narrow regression test that focuses on one or a few areas of functionality. Sanity testing is usually narrow and deep.&lt;br /&gt;# A sanity test cases are not automated usually&lt;br /&gt;# A Sanity test is used to determine a small section of the application is still working after a minor change.&lt;br /&gt;# Sanity testing is a cursory testing, it is performed whenever a cursory testing is sufficient to prove the application is functioning according to specifications. This level of testing is a subset of regression testing.&lt;br /&gt;# Sanity testing is to verify whether requirements are met or not, checking all features breadth-first.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-2655373207330698567?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/2655373207330698567/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2012/01/difference-between-smoketest-sanity.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/2655373207330698567'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/2655373207330698567'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2012/01/difference-between-smoketest-sanity.html' title='Difference between Smoke test and sanity tests'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-1939831398573994028</id><published>2012-01-11T07:03:00.000-08:00</published><updated>2012-01-11T07:29:30.527-08:00</updated><title type='text'>Software Testing in Development Models</title><content type='html'>The intention of product development is to somehow go from the vision of a product to the final product. To do this a development project is usually established and carried out. The time from the initial idea for a product until it is delivered is the development life cycle.&lt;br /&gt;&lt;br /&gt;When the product is delivered, its real life begins. The product is in use or deployed until it is disposed of. The time from the initial idea for a product until it is disposed of is called the product life cycle, or software life cycle, if we focus on software products.&lt;br /&gt;&lt;br /&gt;Testing is a necessary process in the development project, and testing is also necessary during deployment, both as an ongoing monitoring of how the product is behaving and in the case of maintenance (defect correction and possibly evolution of the product).&lt;br /&gt;&lt;br /&gt;Testing fits into any development model and interfaces with all the other development processes, such as requirements definition and coding. Testing also interfaces with the processes we call supporting processes, such as, for example, project management.&lt;br /&gt;&lt;br /&gt;Testing in a development life cycle is broken down into a number of test levels—for example component testing and system testing. Each test level has it own characteristics.&lt;br /&gt;&lt;br /&gt;Everything we do in life seems to follow a few common steps, namely: conceive, design, implement, and test (and possibly subsequent correction and retest).&lt;br /&gt;&lt;br /&gt;The same activities are recognized in software development, though there are normally called:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Requirements engineering&lt;/li&gt;&lt;li&gt;Design&lt;/li&gt;&lt;li&gt;Coding&lt;/li&gt;&lt;li&gt;Testing (possibly with retesting, and regression testing).&lt;/li&gt;&lt;/ul&gt;In software development we call the building blocks "stages," "steps," "phases," "levels," or "processes."&lt;br /&gt;&lt;br /&gt;The way the development processes are structured is the development life cycle or the development model. A life cycle model is a specification of the order of the processes and the transition criteria for progressing from one process to the next, that is, completion criteria for the current process and entry criteria for the next.&lt;br /&gt;&lt;br /&gt;Software development models provide guidance on the order in which the major processes in a project should be carried out, and define the conditions for progressing to the next process. Many software projects have experienced problems because they pursued their development without proper regard for the process and transition criteria.&lt;br /&gt;&lt;br /&gt;A number of software development models have been deployed throughout the industry over the years. They are usually grouped according to one of the following concepts:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Sequential&lt;/li&gt;&lt;li&gt;Iterative&lt;/li&gt;&lt;li&gt;Incremental&lt;br /&gt;&lt;/li&gt;&lt;/ul&gt;The building blocks—the processes—are the same; it is only a matter of their length and the frequency with which they are repeated.&lt;br /&gt;&lt;br /&gt;The sequential model is characterized by including no repetition other than perhaps feedback to the preceding phase. This makeup is used in order to avoid expensive rework.&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;span style="font-weight: bold;font-size:130%;" &gt;Sequential Models&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;The assumptions for sequential models are:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;The customer knows what he or she wants.&lt;/li&gt;&lt;li&gt;The requirements are frozen (changes are exceptions).&lt;/li&gt;&lt;li&gt;Phase reviews are used as control and feedback points.&lt;/li&gt;&lt;/ul&gt;The characteristics of a successful sequential development project are:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Stable requirements&lt;/li&gt;&lt;li&gt;Stable environments&lt;/li&gt;&lt;li&gt;Focus on the big picture&lt;/li&gt;&lt;li&gt;One, monolithic delivery&lt;/li&gt;&lt;/ul&gt;Historically the first type of sequential model was the waterfall model. A pure waterfall model consists of the building blocks ordered in one sequence with testing in the end.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://4.bp.blogspot.com/-kO2sRVmZQzw/Tw2oSvjKVxI/AAAAAAAAALg/5-ZS80fW4E0/s1600/Waterfall%2BModel.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 348px; height: 174px;" src="http://4.bp.blogspot.com/-kO2sRVmZQzw/Tw2oSvjKVxI/AAAAAAAAALg/5-ZS80fW4E0/s400/Waterfall%2BModel.jpg" alt="" id="BLOGGER_PHOTO_ID_5696394143648601874" border="0" /&gt;&lt;/a&gt;The goals of the waterfall model are achieved by enforcing fully elaborated documents as phase completion criteria and formal approval of these (signatures) as entry criteria for the next.&lt;br /&gt;&lt;br /&gt;The V-model is an expansion of the pure waterfall model introducing more test levels, and the concept of testing not only being performed at the end of the development life cycle, even though it looks like it.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://2.bp.blogspot.com/-6L830epOcow/Tw2odfHNV1I/AAAAAAAAALs/dKoQ9bDVszc/s1600/V%2BModel.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 286px; height: 92px;" src="http://2.bp.blogspot.com/-6L830epOcow/Tw2odfHNV1I/AAAAAAAAALs/dKoQ9bDVszc/s400/V%2BModel.jpg" alt="" id="BLOGGER_PHOTO_ID_5696394328214951762" border="0" /&gt;&lt;/a&gt;The V-model describes a course where the left side of the V reflects the processes to be performed in order to produce the pieces that make up the physical product, for example, the software code. The processes on the right side of the V are test levels to ensure that we get what we have specified as the product is assembled.&lt;br /&gt;&lt;br /&gt;The pure V-model may lead you to believe that you develop first (the left side) and then test (the right side), but that is not how it is supposed to work.&lt;br /&gt;&lt;br /&gt;A W-model has been developed to show that the test work, that is, the production of testing work products, starts as soon as the basis for the testing has been produced. Testing includes early planning and specification and test execution when the objects to test are ready. The idea in the V-model and the W-model is the same; they are just drawn differently.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://1.bp.blogspot.com/-x3YHz8K7pK0/Tw2peu3HjoI/AAAAAAAAAL4/Z9pKdlTyhug/s1600/W%2BModel.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 289px; height: 82px;" src="http://1.bp.blogspot.com/-x3YHz8K7pK0/Tw2peu3HjoI/AAAAAAAAAL4/Z9pKdlTyhug/s400/W%2BModel.jpg" alt="" id="BLOGGER_PHOTO_ID_5696395449133928066" border="0" /&gt;&lt;/a&gt;When working like this, we describe what the product must do and how (in the requirements and the design), and at the same time we describe how we are going to test it (the test plan and the specification). This means that we are starting our testing at the earliest possible time.&lt;br /&gt;&lt;br /&gt;The planning and specification of the test against the requirements should, for example, start as soon as the requirements have reached a reasonable state.&lt;br /&gt;&lt;br /&gt;A W-model-like development model provides a number of advantages:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;More time to plan and specify the test&lt;/li&gt;&lt;li&gt;Extra test-related review of documents and code&lt;/li&gt;&lt;li&gt;More time to set up the test environment(s)&lt;/li&gt;&lt;li&gt;Better chance of being ready for test execution as soon as something is ready to test&lt;/li&gt;&lt;/ul&gt;For some classes of software (e.g., safety critical systems, or fixed-price contracts), a W-model is the most appropriate.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;font-size:130%;" &gt;Iterative and Incremental Models&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;In iterative and incremental models the strategy is that frequent changes should and will happen during development. To cater for this the basic processes are repeated in shorter circles, iterations. These models can be seen as a number of mini W-models; testing is and must be incorporated in every iteration within the development life cycle.&lt;br /&gt;&lt;br /&gt;This is how we could illustrate an iterative or incremental development model.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://3.bp.blogspot.com/-mmAnavfb98M/Tw2pewnco_I/AAAAAAAAAMA/8J1LFrYnaVs/s1600/Incremental%2BDevelopment%2Bmodel.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 322px; height: 61px;" src="http://3.bp.blogspot.com/-mmAnavfb98M/Tw2pewnco_I/AAAAAAAAAMA/8J1LFrYnaVs/s400/Incremental%2BDevelopment%2Bmodel.jpg" alt="" id="BLOGGER_PHOTO_ID_5696395449605071858" border="0" /&gt;&lt;/a&gt;The goals of an iterative model are achieved through various prototypes or subproducts. These are developed and validated in the iterations. At the end of each iteration an operational (sub)product is produced, and hence the product is expanding in each iteration. The direction of the evolution of the product is determined by the experiences with each (sub)product.&lt;br /&gt;&lt;br /&gt;Note that the difference between the two model types discussed here is:&lt;br /&gt;&lt;br /&gt;In iterative development the product is not released to the customer until all the planned iterations have been completed.&lt;br /&gt;In incremental development a (sub)product is released to the customer after each iteration.&lt;br /&gt;&lt;br /&gt;The assumptions for an iterative and incremental model are:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;The customer cannot express exactly what he or she wants.&lt;/li&gt;&lt;li&gt;The requirements will change.&lt;/li&gt;&lt;li&gt;Reviews are done continuously for control and feedback.&lt;/li&gt;&lt;/ul&gt;The characteristics of a successful project following such a model are:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Fast and continuous customer feedback;&lt;/li&gt;&lt;li&gt;Floating targets for the product;&lt;/li&gt;&lt;li&gt;Focus on the most important features;&lt;/li&gt;&lt;li&gt;Frequent releases.&lt;br /&gt;&lt;/li&gt;&lt;/ul&gt;The iterative/incremental model matches situations in which the customers say: "I can't tell you what I want, but I'll know it when I see it"—the last part of the sentence often expressed as "IKIWISI."&lt;br /&gt;&lt;br /&gt;These models are suited for a class of applications where there is a close and direct contact with the end user, and where requirements can only be established through actual operational experience.&lt;br /&gt;&lt;br /&gt;A number of more specific iterative models are defined. Among these the most commonly used are the RAD model and the Spiral model.&lt;br /&gt;&lt;br /&gt;The RAD model (Rapid Application Development) is named so because it is driven by the need for rapid reactions to changes in the market. James Martin, consultant and author, called the "guru of the information age", was the first to define this model. Since then the term RAD has more or less become a generic term for many different types of iterative models.&lt;br /&gt;&lt;br /&gt;The original RAD model is based on development in timeboxes in few—usually three—iterations on the basis of fundamental understanding of the goal achieved before the iterations start. Each iteration basically follows a waterfall model.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://3.bp.blogspot.com/-3fkSP6v96R8/Tw2pe-3ourI/AAAAAAAAAMQ/Lfn1woggnuc/s1600/RAD%2BModel.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 350px; height: 155px;" src="http://3.bp.blogspot.com/-3fkSP6v96R8/Tw2pe-3ourI/AAAAAAAAAMQ/Lfn1woggnuc/s400/RAD%2BModel.jpg" alt="" id="BLOGGER_PHOTO_ID_5696395453431069362" border="0" /&gt;&lt;/a&gt;When the last iteration is finished, the product is finalized and implemented as a proper working product to be delivered to the customer.&lt;br /&gt;&lt;br /&gt;Barry Boehm, TRW Professor of Software Engineering at University of Southern California, has defined a so-called Spiral Model. This model aims at accommodating both the waterfall and the iterative model. The model consists of a set of full cycles of development, which successively refines the knowledge about the future product. Each cycle is risk driven and uses prototypes and simulations to evaluate alternatives and resolve risks while producing work products. Each cycle concludes with reviews and approvals of fully elaborated documents before the next cycle is initiated.&lt;br /&gt;&lt;br /&gt;The last cycle, when all risks have been uncovered and the requirements, product design, and detailed design approved, consists of a conventional waterfall development of the product.&lt;br /&gt;&lt;br /&gt;In recent years a number of incremental models, called evolutionary or agile development models, have appeared. In these models the emphasis is placed on values and principles, as described in the "Manifesto of Software Development." These are:&lt;br /&gt;&lt;br /&gt;Individuals and interactions are valued over processes and tools&lt;br /&gt;Customer collaboration is valued over contract negotiation&lt;br /&gt;Responding to change is valued over following a plan&lt;br /&gt;&lt;br /&gt;One popular example of these models is the eXtreme Programming model, (XP). In XP one of the principles is that the tests for the product are developed first; the development is test-driven.&lt;br /&gt;&lt;br /&gt;The development is carried out in a loosely structured small-team style. The objective is to get small teams (3–8 persons) to work together to build products quickly while still allowing individual programmers and teams freedom to evolve their designs and operate nearly autonomously.&lt;br /&gt;&lt;br /&gt;These small teams evolve features and whole products incrementally while introducing new concepts and technologies along the way. However, because developers are free to innovate as they go along, they must synchronize frequently so product components all work together.&lt;br /&gt;&lt;br /&gt;Testing is perhaps even more important in iterative and incremental development than in sequential development. The product is constantly evolved and extensive regression testing of what has previously been agreed and accepted is imperative in every iteration.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-1939831398573994028?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/1939831398573994028/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2012/01/software-testing-in-development-models.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/1939831398573994028'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/1939831398573994028'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2012/01/software-testing-in-development-models.html' title='Software Testing in Development Models'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://4.bp.blogspot.com/-kO2sRVmZQzw/Tw2oSvjKVxI/AAAAAAAAALg/5-ZS80fW4E0/s72-c/Waterfall%2BModel.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-4267727653311507712</id><published>2012-01-10T09:11:00.000-08:00</published><updated>2012-01-10T09:22:29.784-08:00</updated><title type='text'>User Acceptance Testing Basics</title><content type='html'>User acceptance testing is -&lt;br /&gt;&lt;br /&gt;official tests carried out on the system to ensure it meets the acceptance criteria, before the system is put into production. [Most of the time it is made by the users / clients]&lt;br /&gt;the incremental process of approving or rejecting the system during development and maintenance.&lt;br /&gt;&lt;br /&gt;Acceptance Testing checks the system against user requirements. It is made by real people using real data and real documents to ensure ease of use and functionality of systems. Users who understand the business functions run the tests as specified in the acceptance test plans, including installation and hard copies on-line help of user documentation are also being reviewed for ergonomics and accuracy. Testers / users to formally document the results of each test, and provide error reports, requests for correction for developers.&lt;br /&gt;&lt;br /&gt;Myth in user acceptance testing - Passing the AUT recognizes that the system is fit to use and it also recognizes the development process was good enough&lt;br /&gt;&lt;br /&gt;Now a days we use Agile and incremental software development models. While acceptance testing should be the current activity. It needs to be involved in the development process and need to be approximate correction made ​​whenever it fails the acceptance criteria.&lt;br /&gt;&lt;br /&gt;During Acceptance Testing software allows:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Early detection of software problem.&lt;/li&gt;&lt;li&gt;Early the needs of users when developing software.&lt;/li&gt;&lt;li&gt;Ensure users are involved in the scheme criteria and acceptance.&lt;/li&gt;&lt;li&gt;Decision involved based on the results.&lt;/li&gt;&lt;/ul&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-4267727653311507712?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/4267727653311507712/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2012/01/user-acceptance-testing-basics.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/4267727653311507712'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/4267727653311507712'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2012/01/user-acceptance-testing-basics.html' title='User Acceptance Testing Basics'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-657996450947983674</id><published>2012-01-08T01:15:00.001-08:00</published><updated>2012-01-08T01:27:16.318-08:00</updated><title type='text'>Performance Testing vs Load Testing vs Stress Testing</title><content type='html'>&lt;font size="4"&gt;&lt;span style="font-weight: bold;"&gt;Performance testing&lt;/span&gt;&lt;/font&gt;&lt;br /&gt;&lt;br /&gt;It is performed to evaluate the performance of individual system components in a specific situation. It is very broad term. It includes: Load Testing, stress testing, capacity testing, volume tests, endurance tests, spike testing, scalability testing and reliability testing etc. This type of testing usually does not succeed or fail. It is mainly done to set the standard and standard of the application against the Concurrence / debit card, the server response time, latency, response time etc. Render In other words, you can say it is technical and formal evaluation of the responsiveness, speed, scalability and stability characteristics.&lt;br /&gt;&lt;font size="4"&gt;&lt;br style="font-weight: bold;"&gt;&lt;span style="font-weight: bold;"&gt;Load testing&lt;/span&gt;&lt;/font&gt;&lt;br /&gt;&lt;br /&gt;It is a subset of performance tests. She is constantly increasing the load on the test application until it reaches the limit. The main purpose of load testing is to identify the upper limit of the system in terms of database, hardware and network, etc. The common goal of load testing is to define the SLA for the application. Example of load test may be:&lt;br /&gt;&lt;br /&gt;Running multiple applications simultaneously on a computer - beginning with an application and then start the second application, then third, and so on.Now see the performance of your computer.&lt;br /&gt;&lt;br /&gt;Endurance test is also part of the load tests to calculate metrics such as Mean Time Between Failure and mean time to failure.&lt;br /&gt;&lt;br /&gt;Load testing helps to determine:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Flow&lt;/li&gt;&lt;li&gt;The charge of peak production&lt;/li&gt;&lt;li&gt;Adequacy of H / W environment&lt;/li&gt;&lt;li&gt;Requirements for load balancing&lt;/li&gt;&lt;li&gt;Application How many users can manipulate the results with optimal performance&lt;/li&gt;&lt;li&gt;How many users can manipulate the material with the best performance results&lt;/li&gt;&lt;/ul&gt;&lt;font size="4"&gt;&lt;span style="font-weight: bold;"&gt;Stress testing&lt;/span&gt;&lt;/font&gt;&lt;br /&gt;&lt;br /&gt;It is done to evaluate the behavior of the application beyond the normal load conditions or advanced. These are essentially test the functionality of the application under heavy loads. Normally they are related to timing issues, memory leaks or race conditions etc. Some experts also call for testing such as fatigue tests. Sometimes it becomes difficult to set up a controlled environment before running the test. Example of stress test is as follows:&lt;br /&gt;&lt;br /&gt;A banking application may take a maximum user load of 20,000 concurrent users. Increase the load to 21000 and make some transactions such as deposits or withdrawals. Once you have made the transaction, database, application server will synchronize with ATM banking database server. Now, check with the responsibility of the user of the 21000 does sync happened successfully. Now repeat the same test with 22 million concurrent users and so on.&lt;br /&gt;&lt;br /&gt;Spike test is also part of the stress tests that is run when the application is loaded with heavy weights repeatedly and increase beyond the production operations of short duration.&lt;br /&gt;&lt;br /&gt;Stress Testing can help to determine:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Errors in the slowness and expense of the user peak&lt;/li&gt;&lt;li&gt;All security loop holes with loads more&lt;/li&gt;&lt;li&gt;How does the material with loads more&lt;/li&gt;&lt;li&gt;Problems with data corruption charges over&lt;/li&gt;&lt;/ul&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-657996450947983674?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/657996450947983674/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2012/01/performance-testing-load-testing-stress.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/657996450947983674'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/657996450947983674'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2012/01/performance-testing-load-testing-stress.html' title='Performance Testing vs Load Testing vs Stress Testing'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-1723772766787162068</id><published>2011-12-27T08:48:00.001-08:00</published><updated>2011-12-27T09:01:35.847-08:00</updated><title type='text'>Placing Delay in RFT scripts</title><content type='html'>Enhancing Rational Functional Tester’s default synchronization can be as simple as adding a generic delay to your script. You can use the sleep() method (Sleep() function in the .NET version). This is available to you while recording or via coding.&lt;br /&gt;&lt;br /&gt;When you are recording and notice that your application is slow to respond, you can turn to the Script Support Functions button on your toolbar. This is shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-tS0nEHlcJfY/Tvn5B_fgqJI/AAAAAAAAALI/HA69d0LmlS8/s1600/RFT%2BRecording%2BToolbar.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 210px; height: 81px;" src="http://3.bp.blogspot.com/-tS0nEHlcJfY/Tvn5B_fgqJI/AAAAAAAAALI/HA69d0LmlS8/s400/RFT%2BRecording%2BToolbar.jpg" alt="" id="BLOGGER_PHOTO_ID_5690853416778115218" border="0" /&gt;&lt;/a&gt;Script Support Functions button on the Recording toolbar&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Engaging this button provides you with the option to place a sleep() method into your script. Have a look at the below figure for a visual reference.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-EO-DkfbcRPg/Tvn5B11wi1I/AAAAAAAAALU/9dvGbMOsp9w/s1600/RFT%2BSleep%2BTab.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 304px; height: 400px;" src="http://3.bp.blogspot.com/-EO-DkfbcRPg/Tvn5B11wi1I/AAAAAAAAALU/9dvGbMOsp9w/s400/RFT%2BSleep%2BTab.jpg" alt="" id="BLOGGER_PHOTO_ID_5690853414187076434" border="0" /&gt;&lt;/a&gt;Script Support Functions Sleep tab&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;To use this function, you specify the number of seconds that you think your script will need to handle any latency issues with your application. You then click the Insert button. If you were using the Eclipse version of Rational Functional Tester, you would see a line in your script that looks like the following:&lt;br /&gt;&lt;br /&gt;sleep(2.0);&lt;br /&gt;&lt;br /&gt;Otherwise, using the .NET Studio version of Rational Functional Tester, you would see:&lt;br /&gt;&lt;br /&gt;Sleep(2.0)&lt;br /&gt;&lt;br /&gt;The code below shows what these lines look like in the context of a test script:&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Java&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;public void testMain(Object[] args)&lt;br /&gt;{&lt;br /&gt;     startApp("ClassicsJavaA");&lt;br /&gt;&lt;br /&gt;     // PAUSE EXECUTION, USING sleep() METHOD, FOR 2 SECONDS&lt;br /&gt;     sleep(2.0);&lt;br /&gt;&lt;br /&gt;     // Frame: ClassicsCD&lt;br /&gt;     tree2().performTest(VerifyComposerListVP());&lt;br /&gt;     classicsJava(ANY,MAY_EXIT).close();&lt;br /&gt;}&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;VB.NET&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Public Function TestMain(ByVal args() As Object) As Object&lt;br /&gt;     StartApp("ClassicsJavaA")&lt;br /&gt;&lt;br /&gt;     ' PAUSE EXECUTION, USING sleep() METHOD, FOR 2 SECONDS&lt;br /&gt;     Sleep(2.0)&lt;br /&gt;&lt;br /&gt;     ' Frame: ClassicsCD&lt;br /&gt;     Tree2().PerformTest(VerifyComposerListVP())&lt;br /&gt;     ClassicsJava(ANY,MAY_EXIT).Close()&lt;br /&gt;     Return Nothing&lt;br /&gt;End Function&lt;br /&gt;&lt;br /&gt;If you execute either of the scripts displayed in Listing 3.1, execution pauses when it hits the sleep() method. The duration of the pause is determined by the number of seconds that was specified in the argument to the method (the number in the parentheses). In the case of the examples in above code, execution pauses for two seconds.&lt;br /&gt;&lt;br /&gt;You also have the ability to code these lines directly into your scripts. For instance, you might not have recorded these delays because you didn’t experience poor performance with your application while recording. However, upon playback of your scripts, you see periodic latency issues that surpass the default synchronization built into Rational Functional Tester. Using, the playback logs, you can find out what object was unable to be found on playback. This enables you to go into your script and code in the necessary sleep() lines. Please remember that you need to provide, as an argument to the method, the number of seconds to pause. This should be a floating number (for example, 2.0, 3.5, and so on).&lt;br /&gt;&lt;br /&gt;The benefit of using the sleep() method is that you can now place extended synchronization capabilities right within your scripts, freeing you from the dependency of global playback settings. The downside of using the sleep() method is you are dealing with a static period of time. In other words, your script has to pause for the specified period of time regardless of whether or not the application responds faster than anticipated.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-1723772766787162068?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/1723772766787162068/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/12/placing-delay-rft-synchronization.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/1723772766787162068'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/1723772766787162068'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/12/placing-delay-rft-synchronization.html' title='Placing Delay in RFT scripts'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/-tS0nEHlcJfY/Tvn5B_fgqJI/AAAAAAAAALI/HA69d0LmlS8/s72-c/RFT%2BRecording%2BToolbar.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-7309555983048923506</id><published>2011-12-23T18:34:00.001-08:00</published><updated>2011-12-23T18:38:55.427-08:00</updated><title type='text'>IBM RFT Setting Preferences Storyboard Testing</title><content type='html'>The Storyboard Testing feature includes additional preferences you can modify. I will describes each preference and give an example of how that preference affects your script when the preference is checked and when it is not checked.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Preferences for Application Visuals&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;The Storyboard Testing preference can be expanded in the left-hand navigation area of the Preference dialog box. Expanding it shows a selection that enables you to change preferences for Application Visuals, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-c48RY2as80g/TvU7IsBUvaI/AAAAAAAAAK8/hhdbt1WqmA0/s1600/RFT%2BPreferences.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 246px;" src="http://2.bp.blogspot.com/-c48RY2as80g/TvU7IsBUvaI/AAAAAAAAAK8/hhdbt1WqmA0/s400/RFT%2BPreferences.jpg" alt="" id="BLOGGER_PHOTO_ID_5689518724694195618" border="0" /&gt;&lt;/a&gt;The options within Storyboard Testing for Application Visuals&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;If this preference is unchecked, the other preferences are not available.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Enable Capturing of Application Visuals&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;By default, Rational Functional Tester captures application visuals while you are recording. If you click the check box to deselect this preference, application visuals are not recorded for any script you subsequently record. You need to rerecord the script to add application visuals to it. Deselecting this preference also causes the other preferences for Application Visuals to be grayed out.&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Insert Data-Driven Commands&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;If you select to insert data-driven commands, a datapool is associated with your script during recording. As you interact with objects during recording, you can add the objects to the datapool as columns, and the statements include actions to retrieve the data from the datapool instead of using the data you type.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Show Verification Point Dialog&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;If you select to show Verification Point dialog, the Verification Point wizard dialog box will be presented when you are selecting the Data Verification Points using the Application View.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Enable Capturing of Verification on Test Data&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Select the check box to enable the option to capture verification on test data, and during recording, Rational Functional Tester will capture and persist all the verification point data associated with the object available on an application under test page. This will allow you to insert Data Verification Points using the application visuals displayed in the Application View.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-7309555983048923506?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/7309555983048923506/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/12/setting-preferences-storyboard-testing.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/7309555983048923506'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/7309555983048923506'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/12/setting-preferences-storyboard-testing.html' title='IBM RFT Setting Preferences Storyboard Testing'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://2.bp.blogspot.com/-c48RY2as80g/TvU7IsBUvaI/AAAAAAAAAK8/hhdbt1WqmA0/s72-c/RFT%2BPreferences.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-3341711595173823307</id><published>2011-12-23T18:19:00.001-08:00</published><updated>2011-12-23T18:48:31.890-08:00</updated><title type='text'>IBM RFT Enabling Storyboard Testing</title><content type='html'>Storyboard Testing is enabled by default in Rational Functional Tester; you do not need to do anything to be able to use it unless it has been disabled in your installed copy of Rational Functional Tester.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;How to Enable Storyboard Testing&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;To enable Storyboard Testing, first open the Preferences dialog box by clicking Window &amp;gt; Preferences. In the dialog box, expand Functional Test in the left navigation pane, and then click Simplified Scripting, as shown in below Figure. Finally, click the Apply button to save this preference. If you have no other preferences to change at this time, you can click the OK button to close the dialog box.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-O025rHQiyb0/TvU3-4hj8sI/AAAAAAAAAKw/ZtAFvRRJalc/s1600/RFT%2BStoryboard%2BTesting.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 377px; height: 307px;" src="http://2.bp.blogspot.com/-O025rHQiyb0/TvU3-4hj8sI/AAAAAAAAAKw/ZtAFvRRJalc/s400/RFT%2BStoryboard%2BTesting.jpg" alt="" id="BLOGGER_PHOTO_ID_5689515257717060290" border="0" /&gt;&lt;/a&gt;The option in Functional Test preferences to enable Storyboard Testing&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Considerations for Enabling Storyboard Testing&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;When you check this preference, from that time forward, all new scripts you create (whether by recording or by editing an empty script) use Storyboard Testing. To return to the traditional perspective, uncheck this preference and all new scripts are recorded and edited in the traditional manner until you change this preference again.&lt;br /&gt;&lt;br /&gt;This preference has no effect on scripts that already exist; Rational Functional Tester stores the type of script (Storyboard Testing or traditional) with the script, and opens the appropriate views in the Functional Test Perspective. You can edit Storyboard Testing scripts alongside traditional scripts within the same running instance of Rational Functional Tester and as you switch between the different script types. As you select a different type of script, the Functional Test Perspective changes the views to match the type of script being edited.&lt;br /&gt;&lt;br /&gt;The Storyboard Testing feature includes additional preferences you can modify.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-3341711595173823307?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/3341711595173823307/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/12/ibm-rft-enabling-storyboard-testing.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/3341711595173823307'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/3341711595173823307'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/12/ibm-rft-enabling-storyboard-testing.html' title='IBM RFT Enabling Storyboard Testing'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://2.bp.blogspot.com/-O025rHQiyb0/TvU3-4hj8sI/AAAAAAAAAKw/ZtAFvRRJalc/s72-c/RFT%2BStoryboard%2BTesting.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-5150657425437116373</id><published>2011-12-23T18:09:00.001-08:00</published><updated>2011-12-23T18:17:01.383-08:00</updated><title type='text'>IBM RFT Storyboard Testing</title><content type='html'>Storyboard Testing is a new feature introduced in Rational Functional Tester version 8.1. Its purpose is to enable automated test creation by testers who might have significant subject matter expertise with application under test but might not have programming skills.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Original look at Test Automation&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Initially, all test automation was done by programming. To use those early tools, testers had to learn a programming language and become proficient at it. This was a barrier for testers who might have had expertise in the subject matter of the business, but who had no training in programming.&lt;br /&gt;&lt;br /&gt;Record-and-playback technology enabled non programmers to create automated test scripts and execute them. However, if the application being tested was changed (as one would expect it would be in the course of maintaining it), then the test scripts often needed to be recorded again. Unless the automated script was executed frequently, the savings of a tester’s time through test automation would decrease because maintenance of test automation required almost as much time as executing the tests manually.&lt;br /&gt;&lt;br /&gt;The use of wizards simplify tasks, which otherwise require or re-programming, but also for other tasks, the only recourse was to learn the language, or assign the task to someone who does not know the language. Again non-technical user was shut out.&lt;br /&gt;&lt;br /&gt;Whether the script was programmed or recorded, the fact that the script was represented as a program required the tester to visualize what the application looked like at each statement of the script, rather than by seeing the interface itself. This also tended to favor those with programming backgrounds because this kind of visualization is an essential part of a programmer’s training.&lt;br /&gt;&lt;br /&gt;Overall, test automation required too much skill in programming. Subject matter experts needed an easier way to create test automation, one that would not require them to become coders.&lt;br /&gt;&lt;br /&gt;Rational Functional Tester provides this easier way. Storyboard Testing enables nontechnical users to see their scripts in a human language instead of in a programming language.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-5150657425437116373?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/5150657425437116373/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/12/ibm-rft-storyboard-testing-qtp.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/5150657425437116373'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/5150657425437116373'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/12/ibm-rft-storyboard-testing-qtp.html' title='IBM RFT Storyboard Testing'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-7397672042888664767</id><published>2011-09-30T02:12:00.000-07:00</published><updated>2011-09-30T05:37:32.801-07:00</updated><title type='text'>RFT Script Assure Recognition Algorithm</title><content type='html'>This section describes the integrated technique called ScriptAssure®, which is the recognition algorithm.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Property Value Weights&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;The success of an automated test is highly dependent on the robustness of the test script. Small changes often force development to adapt test scripts before running successfully. This reduces productivity because maintenance must be applied to the test scripts for a successful run.&lt;br /&gt;&lt;br /&gt;For example, the old record and playback tools recorded based on recording graphical interaction. The actual x, y coordinates of a selection were stored in the script. When a button was moved or a different screen layout was applied to the application, the script became useless. It resulted in a lot of rework and crash maintenance to get scripts running.&lt;br /&gt;&lt;br /&gt;Rational Functional Tester recognizes objects in the application under test. This means that objects can be moved around or changed graphically. Recognition is done based on all the properties of the object. Not only the visible label (the OK), but object properties are recorded. When one or more properties changes, Rational Functional Tester keeps running!&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Sample 1: Login&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;An example is the button GO in a login screen, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-HxNwk_I_ESc/ToWK5zt0OsI/AAAAAAAAAJM/orpDkYRykcM/s1600/RFT%2BThe%2Blogin%2Bscreen%2Band%2BGO%2Bbutton.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 320px;" src="http://3.bp.blogspot.com/-HxNwk_I_ESc/ToWK5zt0OsI/AAAAAAAAAJM/orpDkYRykcM/s400/RFT%2BThe%2Blogin%2Bscreen%2Band%2BGO%2Bbutton.jpg" alt="" id="BLOGGER_PHOTO_ID_5658081232600447682" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;The login screen and GO button&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;The base GO button has the following properties:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;ID = “GO”&lt;/li&gt;&lt;li&gt;TYPE = “submit”&lt;/li&gt;&lt;li&gt;NAME = “GO”&lt;/li&gt;&lt;li&gt;VALUE = “GO”&lt;/li&gt;&lt;/ul&gt;One can easily find these values in the HTML source of the button (this is true of any programming environment):&lt;br /&gt;&lt;br /&gt;&lt;input onclick="logincheck(username.value,password.value);" id="GO" name="GO" value="GO" type="submit"&gt;&lt;br /&gt;&lt;br /&gt;When recording a script, the script contains the following line:&lt;br /&gt;&lt;br /&gt;button_gOsubmit().click();&lt;br /&gt;&lt;br /&gt;The button_gOsubmit is the object in the Script Explorer view, as shown in below Figure. A click is the action to be performed on that object.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-vD78FE7IW_0/ToWMAykEBzI/AAAAAAAAAJc/dmDieWjM5lk/s1600/RFT%2BScript%252C%2BExplorer%2Bview.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 286px; height: 341px;" src="http://3.bp.blogspot.com/-vD78FE7IW_0/ToWMAykEBzI/AAAAAAAAAJc/dmDieWjM5lk/s400/RFT%2BScript%252C%2BExplorer%2Bview.jpg" alt="" id="BLOGGER_PHOTO_ID_5658082452061816626" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Script, Explorer view&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Double-clicking the object in the tree opens the object map; here, you can interrogate the properties of the object, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-GqZM6GP6qUc/ToWK56hog9I/AAAAAAAAAJE/iMQXgvJhFk4/s1600/RFT%2BTest%2BObject%2BMap%2Bbrowser.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 270px;" src="http://3.bp.blogspot.com/-GqZM6GP6qUc/ToWK56hog9I/AAAAAAAAAJE/iMQXgvJhFk4/s400/RFT%2BTest%2BObject%2BMap%2Bbrowser.jpg" alt="" id="BLOGGER_PHOTO_ID_5658081234428396498" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Test Object Map browser&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;When the script is run to validate the script, it finds the object with all properties matching. The recognition algorithm is as easy as it is powerful; every mismatch results in 100 times the weight. The object with the minimum penalty points is selected.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;One Property Change&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Suppose the visible property GO is changed to Login, as shown in below Figure. An automatic test tool that recognizes only object visible labels fails, resulting in the test process stopping and an urgent need for maintenance.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/-vgk9BvqvH-Q/ToWKcznNGcI/AAAAAAAAAHk/CLkxpDzmBI8/s1600/RFT%2BChanging%2Bone%2Bvisible%2Bproperty.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 320px;" src="http://4.bp.blogspot.com/-vgk9BvqvH-Q/ToWKcznNGcI/AAAAAAAAAHk/CLkxpDzmBI8/s400/RFT%2BChanging%2Bone%2Bvisible%2Bproperty.jpg" alt="" id="BLOGGER_PHOTO_ID_5658080734356511170" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Changing one visible property&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Rational Functional Tester uses the same object or the one with minimal difference. In this case, Rational Functional Tester selects the Login, despite the difference in label, position, and format. The Reset button is not selected because there is a difference in all properties.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Two Properties Changed&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Now with version 2, there are two properties changed, as shown in below Figure. Does Rational Functional Tester find the button?&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-OKg1sIi2Q70/ToWKdDxjrHI/AAAAAAAAAH0/F6tHg79FKzM/s1600/RFT%2BChanging%2Btwo%2Bvisible%2Bproperties.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 320px;" src="http://3.bp.blogspot.com/-OKg1sIi2Q70/ToWKdDxjrHI/AAAAAAAAAH0/F6tHg79FKzM/s400/RFT%2BChanging%2Btwo%2Bvisible%2Bproperties.jpg" alt="" id="BLOGGER_PHOTO_ID_5658080738694900850" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Changing two visible properties&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;With the default settings, Rational Functional Tester stores a message in the test log, as shown in below Figure. The Object Recognition is weak message indicates that Rational Functional Tester has found one object that is comparable. Rational Functional Tester uses this object to continue execution. Additionally, there is a recognition score (failing score) visible that is 19.000. The calculation can be derived by the rule that every mismatch results in 100 times the weight. This example shows a miss at ID (weight 90) and Value (weight 100), resulting in a 19.000. When no differences are found, this recognition score is 0.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-jnOGrmXh8ZM/ToWK_A3JjWI/AAAAAAAAAJU/LozofX_442o/s1600/RFT%2BViewing%2Bthe%2Bmessage%2Bin%2Bthe%2Btest%2Blog.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 108px;" src="http://1.bp.blogspot.com/-jnOGrmXh8ZM/ToWK_A3JjWI/AAAAAAAAAJU/LozofX_442o/s400/RFT%2BViewing%2Bthe%2Bmessage%2Bin%2Bthe%2Btest%2Blog.jpg" alt="" id="BLOGGER_PHOTO_ID_5658081322028600674" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Viewing the message in the test log&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;&lt;span style="font-weight: bold;"&gt;Three Properties Changed&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;In the next version of the application, there are three properties changed, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/-i4mDW-Fix9Y/ToWKdErwgsI/AAAAAAAAAHs/XG-vNuzr6pc/s1600/RFT%2BChanging%2Bthree%2Bvisible%2Bproperties.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 320px;" src="http://4.bp.blogspot.com/-i4mDW-Fix9Y/ToWKdErwgsI/AAAAAAAAAHs/XG-vNuzr6pc/s400/RFT%2BChanging%2Bthree%2Bvisible%2Bproperties.jpg" alt="" id="BLOGGER_PHOTO_ID_5658080738939011778" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Changing three visible properties&lt;/span&gt; &lt;/div&gt;&lt;br /&gt;Now the object to be found and the object available in the application differ too much. A window opens to ask the user for advice, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/-q-K00tAgek0/ToWKoRkLIdI/AAAAAAAAAIE/FjufGbvWbVk/s1600/RFT%2BException%2Bwindow.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 349px; height: 400px;" src="http://4.bp.blogspot.com/-q-K00tAgek0/ToWKoRkLIdI/AAAAAAAAAIE/FjufGbvWbVk/s400/RFT%2BException%2Bwindow.jpg" alt="" id="BLOGGER_PHOTO_ID_5658080931375423954" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Exception window&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;With the object browser, one can update the properties of the object to be found. The Playback Options become available just after starting a script. The previous interactive menu can be suppressed by deselecting the option Perform playback in interactive mode in the second screen of the Playback Options, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/-wAnPr6p7o4Q/ToWK5vt2FYI/AAAAAAAAAI0/IqEJ5KdI1l8/s1600/RFT%2BSpecify%2BPlayback%2BOptions.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 348px; height: 400px;" src="http://4.bp.blogspot.com/-wAnPr6p7o4Q/ToWK5vt2FYI/AAAAAAAAAI0/IqEJ5KdI1l8/s400/RFT%2BSpecify%2BPlayback%2BOptions.jpg" alt="" id="BLOGGER_PHOTO_ID_5658081231526827394" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Specify Playback Options&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;If you update the properties of the object, you get a similar error message as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-lVR1wiLbuPw/ToWK5l0pE-I/AAAAAAAAAI8/hCgwIE14F9U/s1600/RFT%2BTest%2Blog%2Bwith%2Berror%2Bmessage.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 382px; height: 400px;" src="http://3.bp.blogspot.com/-lVR1wiLbuPw/ToWK5l0pE-I/AAAAAAAAAI8/hCgwIE14F9U/s400/RFT%2BTest%2Blog%2Bwith%2Berror%2Bmessage.jpg" alt="" id="BLOGGER_PHOTO_ID_5658081228870980578" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Test log with error message&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Rational Functional Tester does find an object candidate, but it has a failing score of 28500, as described in the log. This is above the value Last chance recognition score, which is set by default to 20000. If you increase this value to 50000, the script does find the Login button and provides a warning, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-Kuh-q95pQtA/ToWPdRe1WNI/AAAAAAAAAJk/qfD0WZDow6E/s1600/RFT%2BTest%2Blog%2Bwith%2Bwarning%2Bmessage.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 62px;" src="http://2.bp.blogspot.com/-Kuh-q95pQtA/ToWPdRe1WNI/AAAAAAAAAJk/qfD0WZDow6E/s400/RFT%2BTest%2Blog%2Bwith%2Bwarning%2Bmessage.jpg" alt="" id="BLOGGER_PHOTO_ID_5658086239932602578" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Test log with warning message&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;span style="font-weight: bold;"&gt;&lt;br /&gt;Sample 2: Two Buttons&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;The previous examples clarify the behavior of ScriptAssure. The following example is somewhat more complex while we have two buttons, which are similar as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-J__imdJyxr4/ToWKpIbVskI/AAAAAAAAAIk/Bvpu0J0n9ts/s1600/RFT%2BSample%2B2%2Btwo%2Bbuttons.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 320px;" src="http://1.bp.blogspot.com/-J__imdJyxr4/ToWKpIbVskI/AAAAAAAAAIk/Bvpu0J0n9ts/s400/RFT%2BSample%2B2%2Btwo%2Bbuttons.jpg" alt="" id="BLOGGER_PHOTO_ID_5658080946102317634" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Sample 2: two buttons&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;When the script is run, which of the buttons is selected, the “GO” (left) or the “GO” (right) button? Both have one change in a property. A part of the source of this menu is:&lt;br /&gt;&lt;br /&gt;&lt;input onclick="...action..." id="GO-TO-TAKE" name="GO" value="GO" type="submit"&gt;&lt;br /&gt;&lt;input onclick="...action..." id="GO" name="GO-NAME" value="GO" type="submit"&gt;&lt;br /&gt;&lt;br /&gt;The object to be searched for is defined in the object map, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-f1wZZpYNEN8/ToWK5ThkAwI/AAAAAAAAAIs/yCnn2hoy42c/s1600/RFT%2BSearched%2Bobject%2Bin%2Bthe%2Bobject%2Bmap.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 251px;" src="http://1.bp.blogspot.com/-f1wZZpYNEN8/ToWK5ThkAwI/AAAAAAAAAIs/yCnn2hoy42c/s400/RFT%2BSearched%2Bobject%2Bin%2Bthe%2Bobject%2Bmap.jpg" alt="" id="BLOGGER_PHOTO_ID_5658081223959118594" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Searched object in the object map&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Calculate the penalty points of the “Login” and the “GO” button, as shown in Table 1.1 and Table 1.2.&lt;span class="b24-annotation-target"&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Table 1.1: Table for the First Go Button &lt;/span&gt;&lt;br /&gt;&lt;/span&gt;&lt;table class="table" id="ch01table01" border="1"&gt;&lt;caption id="282-1" class="table-title"&gt;&lt;br /&gt;&lt;/caption&gt;&lt;thead&gt;&lt;tr valign="top"&gt;&lt;th class="th" scope="col" valign="top" align="left"&gt;  Label&lt;/th&gt;&lt;th class="th" scope="col" valign="top" align="left"&gt; &lt;p class="table-para" id="282-3"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Property&lt;/p&gt; &lt;/th&gt;&lt;th class="th" scope="col" valign="top" align="left"&gt; &lt;p id="282-4" class="table-para"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Weight&lt;/p&gt; &lt;/th&gt;&lt;th class="th" scope="col" valign="top" align="left"&gt; &lt;p class="table-para" id="282-5"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Found&lt;/p&gt;  &lt;/th&gt;&lt;th class="th" scope="col" valign="top" align="left"&gt; &lt;p class="table-para" id="282-6"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Result&lt;/p&gt; &lt;/th&gt; &lt;/tr&gt;  &lt;/thead&gt; &lt;tbody&gt; &lt;tr valign="top"&gt; &lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-7"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;.id&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-8"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;GO-TO-TAKE&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-9"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;90&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-10"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;No&lt;/p&gt;  &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-11"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;9000&lt;/p&gt;  &lt;/td&gt; &lt;/tr&gt; &lt;tr valign="top"&gt; &lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-12"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;.name&lt;/p&gt;  &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-13"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;GO&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-14"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;95&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-15"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Yes&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-16"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;0&lt;/p&gt; &lt;/td&gt; &lt;/tr&gt; &lt;tr valign="top"&gt; &lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-17"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;.type&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-18"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Submit&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-19"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;95&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-20"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Yes&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-21"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;0&lt;/p&gt; &lt;/td&gt; &lt;/tr&gt; &lt;tr valign="top"&gt; &lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-22"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;.value&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-23"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;GO&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-24"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;100&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-25"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Yes&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-26"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;0&lt;/p&gt; &lt;/td&gt; &lt;/tr&gt; &lt;tr valign="top"&gt; &lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-27"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Total&lt;/p&gt; &lt;/td&gt;&lt;td class="td" align="left"&gt;&lt;br /&gt;&lt;/td&gt;&lt;td class="td" align="left"&gt;&lt;br /&gt;&lt;/td&gt;&lt;td class="td" align="left"&gt;&lt;br /&gt;&lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="282-28"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;9000&lt;/p&gt; &lt;/td&gt; &lt;/tr&gt; &lt;/tbody&gt; &lt;/table&gt; &lt;a id="283" name="283"&gt;&lt;/a&gt;&lt;a id="ch01table02" name="ch01table02"&gt;&lt;/a&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Table 1.2: Table for a Second Go Button &lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;table class="table" id="ch01table02" border="1"&gt;&lt;thead&gt;&lt;tr valign="top"&gt;&lt;th class="th" scope="col" valign="top" align="left"&gt;&lt;p class="table-para" id="283-2"&gt;Label&lt;/p&gt; &lt;/th&gt;&lt;th class="th" scope="col" valign="top" align="left"&gt; &lt;p class="table-para" id="283-3"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Property&lt;/p&gt; &lt;/th&gt;&lt;th class="th" scope="col" valign="top" align="left"&gt; &lt;p class="table-para" id="283-4"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Weight&lt;/p&gt; &lt;/th&gt;&lt;th class="th" scope="col" valign="top" align="left"&gt; &lt;p class="table-para" id="283-5"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Found&lt;/p&gt; &lt;/th&gt;&lt;th class="th" scope="col" valign="top" align="left"&gt; &lt;p class="table-para" id="283-6"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Result&lt;/p&gt; &lt;/th&gt; &lt;/tr&gt; &lt;/thead&gt; &lt;tbody&gt; &lt;tr valign="top"&gt; &lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-7"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;.id&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-8"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;GO&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-9"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;90&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-10"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Yes&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-11"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;0&lt;/p&gt; &lt;/td&gt; &lt;/tr&gt; &lt;tr valign="top"&gt; &lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-12"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;.name&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p id="283-13" class="table-para"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;GO-NAME&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-14"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;95&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-15"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;No&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-16"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;9500&lt;/p&gt; &lt;/td&gt; &lt;/tr&gt; &lt;tr valign="top"&gt; &lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-17"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;.type&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p id="283-18" class="table-para"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Submit&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-19"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;95&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p id="283-20" class="table-para"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Yes&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p id="283-21" class="table-para"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;0&lt;/p&gt; &lt;/td&gt; &lt;/tr&gt; &lt;tr valign="top"&gt; &lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-22"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;.value&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-23"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;GO&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p id="283-24" class="table-para"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;100&lt;/p&gt;  &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-25"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Yes&lt;/p&gt; &lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p id="283-26" class="table-para"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;0&lt;/p&gt; &lt;/td&gt; &lt;/tr&gt; &lt;tr valign="top"&gt; &lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-27"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;Total&lt;/p&gt; &lt;/td&gt;&lt;td class="td" align="left"&gt;&lt;br /&gt;&lt;/td&gt; &lt;td class="td" align="left"&gt;&lt;br /&gt;&lt;/td&gt; &lt;td class="td" align="left"&gt;&lt;br /&gt;&lt;/td&gt;&lt;td class="td" valign="top" align="left"&gt; &lt;p class="table-para" id="283-28"&gt;&lt;span class="b24-annotation-target"&gt;&lt;/span&gt;9500&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;br /&gt;If you replay with default ScriptAssure settings, you get the message AmbiguousRecognitionException, as shown in below Figure. This is because the two GOs are much the same.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-4-DMv72-XRE/ToWKo8yHkSI/AAAAAAAAAIU/UixF1-HCC68/s1600/RFT%2BLog%2Bfile%2Bwith%2Btwo.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 158px;" src="http://2.bp.blogspot.com/-4-DMv72-XRE/ToWKo8yHkSI/AAAAAAAAAIU/UixF1-HCC68/s400/RFT%2BLog%2Bfile%2Bwith%2Btwo.jpg" alt="" id="BLOGGER_PHOTO_ID_5658080942976635170" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt; Log file with two instances of the same test object&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;When we decrease the Ambiguous recognition scores difference threshold to 200, for example, the script continues. So, the action attached to the GO-TO-TAKE button is used. If you are interested in verifying the properties of the object, the following is created in the object map, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-pp_cmjQEWwc/ToWKdZNWLTI/AAAAAAAAAH8/Zpr7GMIDxWs/s1600/RFT%2BCreated%2Bobject%2Bin%2Bthe%2Bobject%2Bmap.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 251px;" src="http://3.bp.blogspot.com/-pp_cmjQEWwc/ToWKdZNWLTI/AAAAAAAAAH8/Zpr7GMIDxWs/s400/RFT%2BCreated%2Bobject%2Bin%2Bthe%2Bobject%2Bmap.jpg" alt="" id="BLOGGER_PHOTO_ID_5658080744448601394" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Created object in the object map&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;When you execute test script next time, the order number will not be 25. This results in penalty points, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-S7OxJBIKDaU/ToWKomq7VQI/AAAAAAAAAIM/GRnkQBXKgf8/s1600/RFT%2BLog%2Bfile%2Bdisplays%2Ba%2Bweak%2Bobject%2Brecognition.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 111px;" src="http://1.bp.blogspot.com/-S7OxJBIKDaU/ToWKomq7VQI/AAAAAAAAAIM/GRnkQBXKgf8/s400/RFT%2BLog%2Bfile%2Bdisplays%2Ba%2Bweak%2Bobject%2Brecognition.jpg" alt="" id="BLOGGER_PHOTO_ID_5658080937040893186" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt; Log file displays a weak object recognition&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;By setting the weight of accessibleContext.accessibleName and text to 0, there is a full match, but the recognition power is weaker. A better approach is to apply a regular expression as a value. This can be created via the contextual menu on the value. In this case, use a decimal definition \d+ as shown in Figure 1.55. The point is preceded by a backslash because the point is also a special character. For additional information about regular expressions, refer to Appendix B, “Regular Expressions in Rational Functional Tester.”&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-Zu8C1UYw3cA/ToWKo1unF7I/AAAAAAAAAIc/VFtrrRuYF_Y/s1600/RFT%2BProperty%2Bvalue%2Bwith%2Bregular%2Bexpression%2Bset.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 251px;" src="http://2.bp.blogspot.com/-Zu8C1UYw3cA/ToWKo1unF7I/AAAAAAAAAIc/VFtrrRuYF_Y/s400/RFT%2BProperty%2Bvalue%2Bwith%2Bregular%2Bexpression%2Bset.jpg" alt="" id="BLOGGER_PHOTO_ID_5658080941082875826" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Property value with regular expression set&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;This sample is about the object to be searched for. For the changing value in the verification point, you can use a regular expression in the verification point.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;ScriptAssure Playback Settings&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;The recognition and the warning levels can be influenced with settings at &lt;span style="font-weight: bold;"&gt;Window &amp;gt; Preferences &amp;gt; Functional Test &amp;gt; Playback &amp;gt; ScriptAssure&lt;/span&gt;.&lt;br /&gt;&lt;br /&gt;The standard visualization gives two sliders to move in either direction, as shown in below Figure. In line with the error messages and the calculation described previously, you can use the advanced visualization.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-a_tIyUCUVNE/ToW3tiAk4xI/AAAAAAAAAJs/WNghYiZQg4U/s1600/ScriptAssure%2Bpreferences.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 320px;" src="http://2.bp.blogspot.com/-a_tIyUCUVNE/ToW3tiAk4xI/AAAAAAAAAJs/WNghYiZQg4U/s400/ScriptAssure%2Bpreferences.jpg" alt="" id="BLOGGER_PHOTO_ID_5658130499712115474" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;font-size:100%;" &gt;ScriptAssure preferences&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;If you click the Advance button, you get what’s shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-RA9HRjPq8G4/ToWKc8gsB9I/AAAAAAAAAHc/9cxPVrJERTs/s1600/RFT%2BAdvance%2BScriptAssure%2Bpreferences.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 320px;" src="http://3.bp.blogspot.com/-RA9HRjPq8G4/ToWKc8gsB9I/AAAAAAAAAHc/9cxPVrJERTs/s400/RFT%2BAdvance%2BScriptAssure%2Bpreferences.jpg" alt="" id="BLOGGER_PHOTO_ID_5658080736745097170" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Advance ScriptAssure preferences&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;The ScriptAssure Advanced page has the following controls:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;&lt;span style="font-weight: bold;"&gt;Maximum acceptable recognition score&lt;/span&gt;— Indicates the maximum score an object can have to be recognized as a candidate. Objects with higher recognition scores are not considered as matches until the time specified in Maximum time to attempt to find Test Object has elapsed.&lt;/li&gt;&lt;li&gt;&lt;span style="font-weight: bold;"&gt;Last chance recognition score&lt;/span&gt;— Indicates the maximum acceptable score an object must have to be recognized as a candidate, if Functional Tester does not find a suitable match after the time specified in Maximum time to attempt to find Test Object has elapsed. Objects with higher recognition scores are not considered.&lt;/li&gt;&lt;li&gt;&lt;span style="font-weight: bold;"&gt;Ambiguous recognition scores difference threshold&lt;/span&gt;— Writes an AmbiguousRecognitionException to the log if the scores of top candidates differ by less than the value specified in this field. If Rational Functional Tester sees two objects as the same, the difference between their scores must be at least this value to prefer one object. You can override the exception by using an event handler in the script.&lt;/li&gt;&lt;li&gt;&lt;span style="font-weight: bold;"&gt;Warn if accepted score is greater than&lt;/span&gt;— Writes a warning to the log if Rational Functional Tester accepts a candidate whose score is greater than or equal to the value in this field.&lt;/li&gt;&lt;/ul&gt;The Maximum time to attempt to find Test Object is defined in the general playback of Rational Functional Tester.&lt;br /&gt;&lt;br /&gt;What are interesting settings? Defaults to start with because they work well. If you are in more of a dynamic user interface, you can increase the various values to acceptable levels. If you are doing acceptance testing, you can tighten the values and set the warn if option to 1. You always get a warning when something changes, but Rational Functional Tester continues to run.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-7397672042888664767?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/7397672042888664767/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/rft-script-assure-recognition-algorithm.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/7397672042888664767'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/7397672042888664767'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/rft-script-assure-recognition-algorithm.html' title='RFT Script Assure Recognition Algorithm'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/-HxNwk_I_ESc/ToWK5zt0OsI/AAAAAAAAAJM/orpDkYRykcM/s72-c/RFT%2BThe%2Blogin%2Bscreen%2Band%2BGO%2Bbutton.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-6935062214500044851</id><published>2011-09-29T22:15:00.001-07:00</published><updated>2011-09-29T23:15:33.503-07:00</updated><title type='text'>DataPools in IBM Rational Functional Tester</title><content type='html'>You often record tests using specific values, for input and expected values, which become hard-coded (literals) into the script. Even if you choose certain test data to be variable using the data driven test wizard, you may not realize other hard-coded values that will later need to be changed. You can change static test data in a script into dynamic values by adding datapool variables. You can use datapools for both test input and for expected values (verification points).&lt;br /&gt;&lt;br /&gt;You can add a data driven code (commands that input test data from a datapool) using the Insert Data Driven Actions wizard as follows:&lt;br /&gt;&lt;br /&gt;1.  Get the application under test to the appropriate point where the test data should be added. You might want to play back the test script in debug mode, breaking (pausing) at the data input form or dialog.&lt;br /&gt;2.  Position the cursor on a blank line in the test script where you want to add the data driven commands.&lt;br /&gt;3.  Select the menu &lt;span style="font-weight: bold;"&gt;Script &amp;gt; Insert Data Driven Commands&lt;/span&gt;, which will open the Data Driven Commands wizard as shown in below Figure. This is essentially the same as going into recording mode except that you will not see the recorder monitor.&lt;br /&gt;&lt;img src="file:///C:/Users/admin/AppData/Local/Temp/moz-screenshot-6.png" alt="" /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-MeJKgw7e5yI/ToVTXugH2QI/AAAAAAAAAGM/jNb1fWCb3aY/s1600/RFT%2BData%2BDriven%2BActions%2Bwizard.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 310px;" src="http://1.bp.blogspot.com/-MeJKgw7e5yI/ToVTXugH2QI/AAAAAAAAAGM/jNb1fWCb3aY/s400/RFT%2BData%2BDriven%2BActions%2Bwizard.jpg" alt="" id="BLOGGER_PHOTO_ID_5658020173945755906" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt; Insert data driven actions wizard&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;4.  Complete the wizard to select the data input objects. You can find more about the Data Driven Commands wizard in the online Help.&lt;br /&gt;&lt;br /&gt;If you had not already created or added a datapool for the test script, then a new one will be created. Note that this wizard will add new lines of code to set (input) datapool values to the test object selected in the wizard. If you had already recorded typing or selecting values then the script will set the values twice. In this case, you can either delete the redundant script lines, or you can replace the literal test input values as described in the following paragraphs.&lt;br /&gt;&lt;br /&gt;If you already have a shared datapool then you can add it to your test script as follows:&lt;br /&gt;&lt;br /&gt;1.  Right-click on the Test Datapool folder in the Script Explorer and select &lt;span style="font-weight: bold;"&gt;Associate with Datapool&lt;/span&gt;.&lt;br /&gt;2.  Select one datapool, and then click &lt;span style="font-weight: bold;"&gt;OK&lt;/span&gt;. You can then see the datapool listed in the Script Explorer. You can associate only one datapool with a test script.&lt;br /&gt;&lt;br /&gt;At this point, you have associated only the datapool with the test script. You need to replace the literal strings (hard-coded values) with values from the datapool. You do this as follows:&lt;br /&gt;&lt;br /&gt;1.  Select the menu &lt;span style="font-weight: bold;"&gt;Script &amp;gt; Find Literals and Replace with Datapool Reference&lt;/span&gt;. Script menu selection Find Literals and Replace with Datapool will be enabled if you have a script open that already has a datapool associated with it. Otherwise, this menu line is disabled.&lt;br /&gt;2.  In the Datapool Literal Substitution window, as shown in below Figure, select the variable (column) you want to use from the Datapool Variable drop-down list.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-AMBvY-tcFDU/ToVTXuDX4DI/AAAAAAAAAGU/iWFcwvKP3Ak/s1600/RFT%2BReplacing%2Bliterals%2Bwith%2Bdatapool%2Bvalues.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 361px; height: 329px;" src="http://1.bp.blogspot.com/-AMBvY-tcFDU/ToVTXuDX4DI/AAAAAAAAAGU/iWFcwvKP3Ak/s400/RFT%2BReplacing%2Bliterals%2Bwith%2Bdatapool%2Bvalues.jpg" alt="" id="BLOGGER_PHOTO_ID_5658020173825171506" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Replacing literals with datapool values&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;3.  Click &lt;span style="font-weight: bold;"&gt;Find &lt;/span&gt;repeatedly until the correct value is highlighted in the script and then click the &lt;span style="font-weight: bold;"&gt;Replace &lt;/span&gt;button.&lt;br /&gt;4.  Repeat step 2 until you have replaced all occurrences in the script.&lt;br /&gt;5.  You can select another Datapool variable from the drop-down list and repeat steps 2 through 3 for other values.&lt;br /&gt;6.  Click &lt;span style="font-weight: bold;"&gt;Close &lt;/span&gt;when you have finished replacing values.&lt;br /&gt;&lt;br /&gt;You might already have a datapool with some substitutions for script values, but realize you need to replace additional literal values. You can repeat steps 3 through 6 to add more datapool substitutions to your test script at any time.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;How to Manually Add Script Code&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;So far, we have discussed different ways to add recorded lines and test objects, verification points, and datapool commands to a test script using wizards and other recording or capture techniques. If you are familiar with the test script syntax, then you might find it useful to manually add these things directly to the script.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Adding Test Steps&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;If you have already captured test objects in a map, you can add them to your script along with actions for the test to perform as shown in below Figure, or with verification points to check. You do this as follows:&lt;br /&gt;&lt;br /&gt;1.  Position the cursor on a blank line in the script where you want to add the new test step.&lt;br /&gt;2.  Right-click either a verification point or a test object in the Script Explorer and select &lt;span style="font-weight: bold;"&gt;Insert at Cursor&lt;/span&gt;.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-an5ftkUeBH0/ToVTXyvCZoI/AAAAAAAAAGc/tE2kK89ptLs/s1600/RFT%2BAdding%2Ban%2Bexisting%2Btest%2Belement%2Bto%2Bthe%2Bscript.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 222px; height: 400px;" src="http://1.bp.blogspot.com/-an5ftkUeBH0/ToVTXyvCZoI/AAAAAAAAAGc/tE2kK89ptLs/s400/RFT%2BAdding%2Ban%2Bexisting%2Btest%2Belement%2Bto%2Bthe%2Bscript.jpg" alt="" id="BLOGGER_PHOTO_ID_5658020175082055298" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Adding an existing test element to the script&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;You now have an incomplete reference to either a test object or a verification point in the script. If you add an object, you need to then select an operation (test action) to perform. If you add a verification point, you need an object and not just any object but one capable of returning the expected value. Complete the test script statement for either a test object or verification point:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;For a test object, select an operation from the drop-down list of methods. For example, select click() to make the script click on the test object during test playback. This action is added after the object reference.&lt;/li&gt;&lt;li&gt;  For a verification point, you must add a test object reference. You can either type or copy the object name, or you can add it from the Script Explorer using &lt;span style="font-weight: bold;"&gt;Insert at Cursor&lt;/span&gt;. This object must be added before the performTest operation.&lt;/li&gt;&lt;/ul&gt;With both Java and Visual Basic .NET scripting, if you position your cursor at the end of a test object call (class), just after the parenthesis, and type a period, you will see the list of methods available for that class. If you add the object from the Script Explorer, you might have to press Backspace over the period and retype it. If you then select the method from the list, the editor adds the operation to your script. Figures 1.32 and 1.33 show this for both Eclipse and Visual Studio.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-JqxKVM6NLgI/ToVTYKjinuI/AAAAAAAAAGk/tlftn2ANjCQ/s1600/RFT%2BSelecting%2Ban%2Boperation%2Bfor%2Ba%2Btest%2Bobject%2Bin%2BJava.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 372px; height: 209px;" src="http://2.bp.blogspot.com/-JqxKVM6NLgI/ToVTYKjinuI/AAAAAAAAAGk/tlftn2ANjCQ/s400/RFT%2BSelecting%2Ban%2Boperation%2Bfor%2Ba%2Btest%2Bobject%2Bin%2BJava.jpg" alt="" id="BLOGGER_PHOTO_ID_5658020181476286178" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Selecting an operation for a test object in Java&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-Df9Q9yt9Qho/ToVTYGXVd6I/AAAAAAAAAGs/eBfsBCMWob4/s1600/RFT%2BSelecting%2Ban%2Boperation%2Bfor%2Ba%2Btest%2Bobject%2Bin%2BVisual%2BBasic%2B.NET.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 285px; height: 215px;" src="http://1.bp.blogspot.com/-Df9Q9yt9Qho/ToVTYGXVd6I/AAAAAAAAAGs/eBfsBCMWob4/s400/RFT%2BSelecting%2Ban%2Boperation%2Bfor%2Ba%2Btest%2Bobject%2Bin%2BVisual%2BBasic%2B.NET.jpg" alt="" id="BLOGGER_PHOTO_ID_5658020180351350690" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Selecting an operation for a test object in Visual Basic .NET&lt;/span&gt; &lt;/div&gt;&lt;br /&gt;For Java, you also have to type the ending semi-colon yourself.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Adding Programming Code to Your Tests&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Rational Functional Tester scripts are implemented in either Java or Visual Basic .NET and are in fact just programs with specific testing functions. Therefore, in addition to adding test steps as described in the previous section, you can also add virtually any programming devices or functions that you would develop for any other Java or Visual Basic program. This includes not only simple looping or conditional constructs, but also calls to more elaborate programming classes. The constraints to this are that the test script must be an extension of com.rational.test.ft.script.RationalTestScript and they must be executed from Rational Functional Tester execution mechanisms.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Other Script Enhancements&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;So far, we have discussed several ways to edit test scripts to modify, complete, enhance, or extend their capabilities. Another purpose of editing tests is to improve their readability and potential reuse. This is done by adding comments and descriptions, naming or renaming test elements, and possibly restructuring test scripts into smaller modular tests.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Comments and Descriptions&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;In a given testing effort, you create many tests, object maps, datapools, and other test elements. There are most likely be other people who have to use or reference these same test artifacts. Comments and descriptions should be added to test artifacts and elements to explain their purposes, usages, and any other relevant information. This makes it much easier for someone else other than the test’s creator to understand. This also increases the value of the tests as software development artifacts.&lt;br /&gt;&lt;br /&gt;You add comments directly into the test scripts. You can add as many as you like without affecting the execution, and in general, the more, the better. You can add comments during recording using the Script Support Functions, or at any time after recording. Here are examples of comments in each scripting language:&lt;br /&gt;&lt;br /&gt;// This is a comment in Java&lt;br /&gt;' This is a comment in Visual Basic&lt;br /&gt;&lt;br /&gt;If you are using Rational Functional Tester with Java scripting, then you can also use Javadoc documentation in your test scripts. Some of this is generated automatically at the beginning of each test script in Java, and you can add more text or tags if you need. More information on Javadoc can be found in the Rational Functional Tester Help.&lt;br /&gt;&lt;br /&gt;/**&lt;br /&gt;* Description : This is Javadoc content&lt;br /&gt;* @author You&lt;br /&gt;*/&lt;br /&gt;&lt;br /&gt;You can add descriptions for certain test elements including test scripts, test objects, and verification points. Descriptions for test scripts are simply Javadoc comments. You can add a description for test objects by opening the object map, selecting an object, and then selecting &lt;span style="font-weight: bold;"&gt;Test Object &amp;gt; Description Propert&lt;/span&gt;y from the menu, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-j7t96PnqDHQ/ToVZQhuEfNI/AAAAAAAAAG0/v6FHtZzY2Yw/s1600/RFT%2BAdding%2Ba%2Bdescription%2Bfor%2Ba%2Btest%2Bobject.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 385px; height: 299px;" src="http://2.bp.blogspot.com/-j7t96PnqDHQ/ToVZQhuEfNI/AAAAAAAAAG0/v6FHtZzY2Yw/s400/RFT%2BAdding%2Ba%2Bdescription%2Bfor%2Ba%2Btest%2Bobject.jpg" alt="" id="BLOGGER_PHOTO_ID_5658026647325277394" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Adding a description for a test object&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;You can add a description for a verification point by opening the verification point and editing the description property, as shown in Figure 1.35.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-jnXX9OUsUig/ToVZQvG9lDI/AAAAAAAAAG8/KVNCKpXtsmU/s1600/RFT%2BAdding%2Ba%2Bdescription%2Bfor%2Ba%2Bverification%2Bpoint.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 131px;" src="http://3.bp.blogspot.com/-jnXX9OUsUig/ToVZQvG9lDI/AAAAAAAAAG8/KVNCKpXtsmU/s400/RFT%2BAdding%2Ba%2Bdescription%2Bfor%2Ba%2Bverification%2Bpoint.jpg" alt="" id="BLOGGER_PHOTO_ID_5658026650919343154" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Adding a description for a verification point&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;&lt;span style="font-weight: bold;"&gt;Naming and Reuse&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;In addition to adding comments and descriptions, you can improve the readability of a test by renaming test elements to more accurately reflect their meaning or purpose. This is perhaps most important for verification points because you interpret test results largely from these. You have a much harder time understanding a test log or report that has a failure on _1695Text than one with a failure on OrderTotal. You might also consider renaming test objects, datapool variables (columns), and test scripts."Names for Your Test Elements"&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Names for Your Test Elements&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Although this discussion is about renaming things, the best time to name your test elements, especially verification points, is when you first record or develop your test.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Renaming Objects and Verification Points&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;You can rename test objects and verification points by right-clicking the item in the Script Explorer and selecting &lt;span style="font-weight: bold;"&gt;Rename&lt;/span&gt;, as shown in below Figure. This automatically renames the reference to the object or verification point in the test script.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-ZRQhFpNkDoI/ToVbQ4gD3LI/AAAAAAAAAHM/Vp3twNGB2NY/s1600/RFT%2BRenaming%2Bscript%2Belements%2Bin%2Bthe%2BScript%2BExplorer.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 200px; height: 241px;" src="http://2.bp.blogspot.com/-ZRQhFpNkDoI/ToVbQ4gD3LI/AAAAAAAAAHM/Vp3twNGB2NY/s400/RFT%2BRenaming%2Bscript%2Belements%2Bin%2Bthe%2BScript%2BExplorer.jpg" alt="" id="BLOGGER_PHOTO_ID_5658028852463787186" border="0" /&gt;&lt;/a&gt; Renaming script elements in the Script Explorer&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Renaming Datapool Variables&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;You may need to rename datapool variables, especially if they are generated by the test data wizard, which copies the test object names. The variables (columns names) are used to reference the values in the script, and the name should reflect the real value or purpose. You can rename a datapool variable by opening the datapool (or the script for a private datapool), clicking on the variable name (column header), and entering a new name for the variable as shown in below Figure. This automatically renames the reference to the datapool variable in the test scripts.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-FNBIM7sM6y4/ToVbQ3rEsiI/AAAAAAAAAHE/5LhxDKLhAfs/s1600/RFT%2BRenaming%2Bdatapool%2Bcolumns.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 338px;" src="http://3.bp.blogspot.com/-FNBIM7sM6y4/ToVbQ3rEsiI/AAAAAAAAAHE/5LhxDKLhAfs/s400/RFT%2BRenaming%2Bdatapool%2Bcolumns.jpg" alt="" id="BLOGGER_PHOTO_ID_5658028852241543714" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Renaming datapool columns&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;If you rename a variable in a shared datapool, the Rational Functional Tester automatically lets you know which scripts are updated with the new name as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-jl3fOWqm_mM/ToVbRJsz-PI/AAAAAAAAAHU/3jl1OpRFNAU/s1600/RFT%2BUpdating%2Ball%2Bscripts%2Bwith%2Ba%2Bnew%2Bdatapool%2Bvariable%2Bname.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 372px;" src="http://3.bp.blogspot.com/-jl3fOWqm_mM/ToVbRJsz-PI/AAAAAAAAAHU/3jl1OpRFNAU/s400/RFT%2BUpdating%2Ball%2Bscripts%2Bwith%2Ba%2Bnew%2Bdatapool%2Bvariable%2Bname.jpg" alt="" id="BLOGGER_PHOTO_ID_5658028857080674546" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Updating all scripts with a new datapool variable name&lt;br /&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Renaming Scripts&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;You might want to rename a test script to better reflect its function or purpose or to comply with project naming conventions. You can do this by right-clicking the item in the Project Explorer and selecting &lt;span style="font-weight: bold;"&gt;Rename&lt;/span&gt;. This will automatically rename all the hidden files associated with the test script, such as the helper and verification point files.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-6935062214500044851?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/6935062214500044851/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/data-driven-testing-datapools-rft.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/6935062214500044851'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/6935062214500044851'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/data-driven-testing-datapools-rft.html' title='DataPools in IBM Rational Functional Tester'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://1.bp.blogspot.com/-MeJKgw7e5yI/ToVTXugH2QI/AAAAAAAAAGM/jNb1fWCb3aY/s72-c/RFT%2BData%2BDriven%2BActions%2Bwizard.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-7577514428939513045</id><published>2011-09-24T23:17:00.000-07:00</published><updated>2011-09-24T23:45:11.349-07:00</updated><title type='text'>RFT Script Editing Augmentation</title><content type='html'>There are many reasons why you should edit and augment a test in Rational Functional Tester. You edit a test to:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;      Correct an error or unintended behavior in the test&lt;/li&gt;&lt;li&gt;      Update tests to work with newer application builds&lt;/li&gt;&lt;li&gt;      Separate longer tests into smaller modular tests&lt;/li&gt;&lt;li&gt;      Integrate tests with other automated tests&lt;/li&gt;&lt;li&gt;      Verify functionality or other system requirements&lt;/li&gt;&lt;li&gt;      Associate test data with a test&lt;/li&gt;&lt;li&gt;      Modify or manipulate playback timing&lt;/li&gt;&lt;li&gt;      Modify or control test flow&lt;/li&gt;&lt;li&gt;      Add logging and reporting of test results&lt;/li&gt;&lt;li&gt;      Improve test readability and reuse&lt;/li&gt;&lt;/ul&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;How to Correct or Update a Test Script&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;The most frequent type of editing you will probably perform to a test script is fixing or updating. After you finish reading this book and start employing the best test script development practices, these corrections and updates should be short and simple. The two general steps in this activity are removing unwanted test script lines and adding new lines. This section does not go into the details of debugging, but it does describe the general editing steps for doing this.&lt;br /&gt;Removing Lines from a Test Script&lt;br /&gt;&lt;br /&gt;You can remove unwanted lines of a test script by deleting the lines or by commenting them out (making them into comments). You should begin with the latter because there is always a chance that you might need to restore the original lines. You can comment out multiple lines of a test script as follows:&lt;br /&gt;&lt;br /&gt;1.    Select the multiple lines of script. This assumes that you know which lines of the test you want to disable.&lt;br /&gt;2.   Comment the lines: For Java in Eclipse, choose the menu Script &amp;gt; Toggle Comment or press Ctrl+/. For Visual Studio, choose the menu Edit &amp;gt; Advanced &amp;gt; Comment Selection or press Ctrl+K, and then press Ctrl+C.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Adding Lines to a Test Script&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;You can add new lines to a test script by inserting a recording into an existing script or by manually adding lines.&lt;br /&gt;&lt;br /&gt;It is typically easier to add lines with the recorder. This is easy to do, although you have to ensure that the newly recorded steps flow correctly with the existing recorded steps. You can record new lines into an existing script as follows:&lt;br /&gt;&lt;br /&gt;1.  Get the application under test to the initial state for the new recording. You can play back the test script in debug mode, breaking (pausing) at the spot where you want to add or rerecord steps.&lt;br /&gt;2.  Carefully position the cursor on a blank line in the test script where you want to add new steps.&lt;br /&gt;3.  Select Script &amp;gt; Insert Recording from the menu, or click the Insert Recording into Active Functional Test Script button from a toolbar. You immediately go into recording mode.&lt;br /&gt;4.  Click the Stop button to finish the recording.&lt;br /&gt;&lt;br /&gt;Just as you must ensure the starting point of the new recording is carefully set, you must also ensure that the point that you stop recording flows correctly into the next steps of the test script.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;How to Use Test Object Maps&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;The next most frequent type of editing you are likely do to on a test is update and modify test object maps. A test object map is normally created when you record a new test script, as shown in below Figure . You can also create an object map independently from script recording. Every test script has a test object map to use, and every test object map needs a test script to have a purpose.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-2eIRhiSTyM8/Tn7J30Br2wI/AAAAAAAAAFM/ba-P2D-Ap54/s1600/Editing%2Btest%2Bobject%2Bmap%2BRFT.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 266px;" src="http://3.bp.blogspot.com/-2eIRhiSTyM8/Tn7J30Br2wI/AAAAAAAAAFM/ba-P2D-Ap54/s400/Editing%2Btest%2Bobject%2Bmap%2BRFT.jpg" alt="" id="BLOGGER_PHOTO_ID_5656180142719621890" border="0" /&gt;&lt;/a&gt;&lt;span style="font-size:100%;"&gt;&lt;span style="font-weight: bold;"&gt;Editing the test object map&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Each test script also contains a list of test objects, visible in the script explorer. This is only a subset of all test objects, as shown in below Figure. The list contains only the objects required for this particular test script.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-uB0yOKYZC-k/Tn7KUO90aaI/AAAAAAAAAFU/qXPE3Fc5Ng0/s1600/RFT%2BScript%2Bexplorer%2Btest%2Bobjects.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 247px; height: 335px;" src="http://1.bp.blogspot.com/-uB0yOKYZC-k/Tn7KUO90aaI/AAAAAAAAAFU/qXPE3Fc5Ng0/s400/RFT%2BScript%2Bexplorer%2Btest%2Bobjects.jpg" alt="" id="BLOGGER_PHOTO_ID_5656180630987499938" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Script explorer test objects&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;The most common kind of editing that you perform on a test object map is:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;     Adding new objects&lt;/li&gt;&lt;li&gt;Updating objects for a newer version of the application under test&lt;/li&gt;&lt;li&gt;Modifying object recognition properties&lt;/li&gt;&lt;/ul&gt;      Test object maps have a separate window where you can view, edit, and manage the objects used by test script. The test script itself contains a reference of an object and the action that is performed on it. The following is an example of a line of test script in Java that references a test object named placeOrder.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;placeOrder().click();&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;If you want to learn more about this test object, you can open it from the Script Explorer, which opens the test object map and highlights the object as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-B_IEiZFKEKU/Tn7Kr2FxqVI/AAAAAAAAAFc/XPf0YSjp0OU/s1600/Opening%2Ba%2Btest%2Bobject%2Bfrom%2Bthe%2Bscript.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 185px;" src="http://1.bp.blogspot.com/-B_IEiZFKEKU/Tn7Kr2FxqVI/AAAAAAAAAFc/XPf0YSjp0OU/s400/Opening%2Ba%2Btest%2Bobject%2Bfrom%2Bthe%2Bscript.jpg" alt="" id="BLOGGER_PHOTO_ID_5656181036626848082" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Opening a test object from the script&lt;/span&gt;&lt;br /&gt;&lt;div style="text-align: left;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;/div&gt;&lt;span style="font-weight: bold;"&gt;Private Versus Shared&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;There are two types of test object maps: private and shared. The only difference between the two is that a private map is associated exclusively to one test script, whereas a shared object map can be used by many test scripts. You can open a private test object map from the Script Explorer. You can open a shared test object map from the Project Explorer or from the Script Explorer. The test object map editor and almost all editing capabilities are the same for both private and shared test object maps.&lt;br /&gt;&lt;br /&gt;You can create a shared test object map from a private map, and then associate the original test script with the new shared map, changing the private map into a shared one. You can also merge objects from one shared map into another, combining and reducing the number of shared maps. You cannot revert a shared object map back into a private map, but you can merge objects from a shared map into an existing private map.&lt;br /&gt;&lt;br /&gt;Ultimately, you need to have primarily shared test object maps instead of private object maps. As a general rule, you should reduce the overall number of different maps.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Adding, Modifying, and Deleting Test Objects&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Over time, the objects in the application under test that your test scripts interact with will change. You therefore need to add, modify, and delete test objects in Rational Functional Tester. These changes occur at two levels: in the map containing the test objects and in the test scripts that reference the test objects. The test object map is the primary storage location for a test object. This is where you ultimately maintain the test objects and their current recognition properties.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Adding Test Objects&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;You can add a new test object to a test script, as shown in below Figure which adds it to the associated test object map as follows:&lt;br /&gt;&lt;br /&gt;1.  Get the application under test to the point with the object (graphical or other interface object) that you need to add to the test.&lt;br /&gt;2.  Position the cursor to a blank line in the test script where you want to add the reference to the new object. This is typically an action on the object, such as clicking or selecting from the object.&lt;br /&gt;3.  Select the menu Script &amp;gt; Insert Test Object, which opens the Insert a GUI Object into the Object Map dialog box. This is essentially the same as going into recording mode, except that you do not see the recorder monitor.&lt;br /&gt;4. Use the Object Finder to select the object you want to add, and then click Finish."Selecting an Object"&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-3SwBsmo3B4k/Tn7LQjjIDuI/AAAAAAAAAFk/arqprfhX3Jk/s1600/Insert%2BNew%2BTest%2BObject%2Btoolbar%2Bbutton.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 313px; height: 54px;" src="http://3.bp.blogspot.com/-3SwBsmo3B4k/Tn7LQjjIDuI/AAAAAAAAAFk/arqprfhX3Jk/s400/Insert%2BNew%2BTest%2BObject%2Btoolbar%2Bbutton.jpg" alt="" id="BLOGGER_PHOTO_ID_5656181667304836834" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Insert New Test Object toolbar button&lt;/span&gt;&lt;br /&gt;&lt;div style="text-align: left;"&gt;&lt;span style="font-weight: bold;"&gt;Selecting an Object&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Alternately, you could use the Test Object Browser to select the object you want to add. Refer to the product Help documentation for more information on using the Test Object Browser.&lt;br /&gt;&lt;/div&gt;&lt;/div&gt;As a consequence, this adds the object to the test object map and to the list of test objects for the script, and it will add a reference to the object in the test script where you positioned your cursor. The initial object reference in the script will not be complete since it will not contain any operation (for example, a click action). You can either manually add the desired operation, assuming that it works with the test procedure recorded in the script, or you can simply comment or delete the line and add some actions for the object at a later time.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Modifying Test Objects&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;You can modify a test object by double-clicking on an object in the script explorer, which will open the test object map and highlight the object. If you want to modify an object that is not in the list of test objects in the script explorer, then you can open the test object map and either browse or search to find the object. There are a number of reasons you might modify a test object.&lt;br /&gt;&lt;br /&gt;One kind of modification that you can make to a test object that does not require opening the test object map is renaming. You can rename an object directly from the script explorer, as explained in this chapter. Note that you can rename objects from the test object map as well.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Deleting Test Objects&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;There are two reasons why you might want to delete a test object. First, you may want to remove an object from a test script but leave it in the test object map. You might do this if the object map is shared and the object is used by other test scripts, or you might simply want to leave the object in the map in case you need to add it back into the script at a later time. The second reason you would delete a test object is when you really know that it is no longer needed by any script and you want to delete it from the test object map.&lt;br /&gt;&lt;br /&gt;For the first case, when you simply want to remove an object from a script, you can delete an object from the list of test objects in the script explorer. This will not affect the test object map or any other scripts that may use the same map. This also will not remove the reference to the object in the script; you will have to delete or comment the line of code referencing the deleted object yourself. Rational Functional Tester will automatically indicate an error which makes it easier to clean up the script. If you comment out the lines then it will be easier to add it back again later, if needed.&lt;br /&gt;&lt;br /&gt;For the second case, when you want to completely delete the object from a test object map, you can open the map and delete the test object. When you do this, Rational Functional Tester will run a short wizard to help ensure you are not deleting something that you need. The first step simply shows the name and recognition properties of the object. The second step, as shown in below Figure, shows all of the test scripts that will be affected by the deletion.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/--pr9tseMLeY/Tn7MMqLlBDI/AAAAAAAAAFs/tcwOv5749DU/s1600/Deleting%2Btest%2Bobject%2Bfrom%2Bthe%2Bmap%2BRFT.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 385px;" src="http://4.bp.blogspot.com/--pr9tseMLeY/Tn7MMqLlBDI/AAAAAAAAAFs/tcwOv5749DU/s400/Deleting%2Btest%2Bobject%2Bfrom%2Bthe%2Bmap%2BRFT.jpg" alt="" id="BLOGGER_PHOTO_ID_5656182699877270578" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Deleting a test object from the map&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;If you realize that you do not want to delete the object you can cancel. Otherwise clicking on Finish will delete the object from the map and all references to the object. Similar to deleting an object from the script explorer, this will not delete the line of code in the script that references the object but it will be reflected in object map as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-_HEm5iaVrr0/Tn7Mmfj_gmI/AAAAAAAAAF8/JV40Hw4hRvg/s1600/Object%2Bin%2Bscript%2Bdeleted%2Bfrom%2Bthe%2Bmap.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 244px; height: 352px;" src="http://1.bp.blogspot.com/-_HEm5iaVrr0/Tn7Mmfj_gmI/AAAAAAAAAF8/JV40Hw4hRvg/s400/Object%2Bin%2Bscript%2Bdeleted%2Bfrom%2Bthe%2Bmap.jpg" alt="" id="BLOGGER_PHOTO_ID_5656183143703478882" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Object in script deleted from the map&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;How to Add Verification Points to a Test Script&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Verification points are what make test script a test as they are primarily what provide the pass or fail results. You will find that it is generally easier to add verification points when you first record a script. However, you might want to first record the user scenarios and steps and then add verification points later. You might also realize additional or more effective verification points after recording the script. In these cases, you can add verification points as shown in below Figure using following steps:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Get the application under test to the appropriate point for what you want to check. You might want to play back the test script in debug mode, breaking (pausing) at the spot where you want to add your verification.&lt;/li&gt;&lt;/ul&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-Wf67sL_4ePo/Tn7NSE3EmPI/AAAAAAAAAGE/qPvj69D1URU/s1600/Insert%2BNew%2BVerification%2Btoolbar%2Bbutton.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 313px; height: 54px;" src="http://1.bp.blogspot.com/-Wf67sL_4ePo/Tn7NSE3EmPI/AAAAAAAAAGE/qPvj69D1URU/s400/Insert%2BNew%2BVerification%2Btoolbar%2Bbutton.jpg" alt="" id="BLOGGER_PHOTO_ID_5656183892449990898" border="0" /&gt;&lt;/a&gt;Insert New Verification toolbar button&lt;br /&gt;&lt;/div&gt;&lt;ul&gt;&lt;li&gt;Position the cursor on a blank line in the test script where you want to add the verification point.&lt;/li&gt;&lt;li&gt;Select the menu Script &amp;gt; Insert Verification Point, which will open the Verification Point wizard. This is essentially the same as going into recording mode except that you will not see the recorder monitor.&lt;/li&gt;&lt;li&gt;Complete the wizard to create your verification point. You can find more about the verification point wizard in the online Help.&lt;/li&gt;&lt;li&gt;Click on Finish to return to the test script."Choosing a verification point"&lt;/li&gt;&lt;/ul&gt;&lt;span style="font-size:100%;"&gt;&lt;span style="font-weight: bold;"&gt;Choosing a verification point&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Your choice of verification points should not be arbitrary or chosen on the fly. You should always determine the best way to validate the test case or requirement that the test is implementing. You also need to consider the possibility of errors in proper verification across all test environments and conditions.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-7577514428939513045?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/7577514428939513045/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/rft-script-editing-augmentation.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/7577514428939513045'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/7577514428939513045'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/rft-script-editing-augmentation.html' title='RFT Script Editing Augmentation'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/-2eIRhiSTyM8/Tn7J30Br2wI/AAAAAAAAAFM/ba-P2D-Ap54/s72-c/Editing%2Btest%2Bobject%2Bmap%2BRFT.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-7159241753998230424</id><published>2011-09-24T23:03:00.000-07:00</published><updated>2011-09-24T23:10:41.201-07:00</updated><title type='text'>Playing Back RFT Script Viewing Results</title><content type='html'>It is possible to detect differences between what you see in the current application build and the expected result by playing back a test script. To start playback of a script, click the Run Functional Test Script button in the menu or right-click a specific test script, and then select Run. You are prompted to specify a log file name, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-rZlBSvukb0o/Tn7FQeWc5NI/AAAAAAAAAE0/PamwGHhFt1k/s1600/define%2Blog%2Bwindow%2BRFT.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 348px; height: 400px;" src="http://2.bp.blogspot.com/-rZlBSvukb0o/Tn7FQeWc5NI/AAAAAAAAAE0/PamwGHhFt1k/s400/define%2Blog%2Bwindow%2BRFT.jpg" alt="" id="BLOGGER_PHOTO_ID_5656175068839732434" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;The define log window&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;You can define the name of a test log in the Select Log window. After selecting Finish, the execution begins. Because Rational Functional Tester uses a mouse and keyboard, it is impossible to do work in parallel during execution, or lock the computer.&lt;br /&gt;&lt;br /&gt;The progress of the playback can be followed on a screen, and anomalies can be noted. In the playback monitor, you can see which statement Rational Functional Tester executes. Normally, Rational Functional Tester waits for objects to display or to become active.&lt;br /&gt;&lt;br /&gt;When the execution ends, Rational Functional Tester returns to its normal state and shows a log file. If the HTML log type is selected, the web browser displays the execution log file. Again, assume that you have default settings active for Rational Functional Tester.&lt;br /&gt;View Results&lt;br /&gt;&lt;br /&gt;This section discusses the analysis of the log file in the HTML variant, which is the default setting. After execution of a test script, the browser shows a log file. You can also double-click a log file in Rational Functional Tester to view it. HTML log file shows you three types of information:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;    Failures&lt;/li&gt;&lt;li&gt;    Warnings&lt;/li&gt;&lt;li&gt;    Verification Points&lt;/li&gt;&lt;/ul&gt;    You can select any of these options to quickly show you more detail in the main window, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/-Y8LfOBfyVgk/Tn7FQg-VFJI/AAAAAAAAAE8/h6EnOpSoNwQ/s1600/Log%2BFile.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 310px;" src="http://4.bp.blogspot.com/-Y8LfOBfyVgk/Tn7FQg-VFJI/AAAAAAAAAE8/h6EnOpSoNwQ/s400/Log%2BFile.jpg" alt="" id="BLOGGER_PHOTO_ID_5656175069543863442" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;An example of a log file in HTML format&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;In the case of a failing verification point, you can view the difference between the expected and actual by activating the Verification Point Comparator as shown in below Figure and by selecting View Results of each verification point.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-AY_dxGkNGEw/Tn7FQlvoUUI/AAAAAAAAAFE/7sAIyv2YYqw/s1600/Verification%2BPoint%2BComparator.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 206px;" src="http://3.bp.blogspot.com/-AY_dxGkNGEw/Tn7FQlvoUUI/AAAAAAAAAFE/7sAIyv2YYqw/s400/Verification%2BPoint%2BComparator.jpg" alt="" id="BLOGGER_PHOTO_ID_5656175070824386882" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Verification Point Comparator&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;When a verification point fails, you can view the differences between expected and actual. The baseline can be updated. With the Verification Point Comparator, you can update the baseline with the Replace Baseline with actual result option. It is also possible to start the Verification Point Comparator directly from the logs in Rational Functional Tester.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-7159241753998230424?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/7159241753998230424/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/playing-back-rft-script-viewing-results.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/7159241753998230424'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/7159241753998230424'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/playing-back-rft-script-viewing-results.html' title='Playing Back RFT Script Viewing Results'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://2.bp.blogspot.com/-rZlBSvukb0o/Tn7FQeWc5NI/AAAAAAAAAE0/PamwGHhFt1k/s72-c/define%2Blog%2Bwindow%2BRFT.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-4067808165905934274</id><published>2011-09-24T22:14:00.001-07:00</published><updated>2011-09-24T22:56:04.428-07:00</updated><title type='text'>Recording Scripts in IBM Rational Functional Tester</title><content type='html'>Rational Functional Tester is quite a flexible tool that enables various ways of working. Here I will describe the process of a basic recording in RFT. Some enhancements are added using wizards. At various points in the scenario, options or additions can be clarified. This is done in a limited way to keep the scenario simple.&lt;br /&gt;&lt;img src="file:///C:/Users/admin/AppData/Local/Temp/moz-screenshot-4.png" alt="" /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Before Recording&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;Before you start recording, you need to take care of several things:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;  Be  sure the application under test is available including the correct setup of its environment. Doing this results in an expected behavior.&lt;/li&gt;&lt;li&gt;  The application under test must be configured for testing.&lt;/li&gt;&lt;li&gt;  A Rational Functional Test project is created and available. This is the area where you store your work.&lt;/li&gt;&lt;li&gt;  Before recording, you should already have a test script describing the interactions and the points of interest to verify. This can be a manual test script defined in Rational Quality Manager.&lt;/li&gt;&lt;/ul&gt;When recording, all interactions are captured and converted into the test script. Experience proves that it is wise to stop or disable any interfering programs, such as messaging programs.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Recording&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;To start recording, click the Record a Functional Test Script button in the Functional Test perspective, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://3.bp.blogspot.com/-NLxdh0Ej2tA/Tn68_4ivwNI/AAAAAAAAAD8/4TkedBzsczY/s1600/Rational%2BFunctional%2BTester%2BWorkBench.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 80px;" src="http://3.bp.blogspot.com/-NLxdh0Ej2tA/Tn68_4ivwNI/AAAAAAAAAD8/4TkedBzsczY/s400/Rational%2BFunctional%2BTester%2BWorkBench.jpg" alt="" id="BLOGGER_PHOTO_ID_5656165987719823570" border="0" /&gt;&lt;/a&gt;The Record a Functional Test Script button in the default Rational Functional Tester workbench&lt;br /&gt;&lt;br /&gt;A new window opens, as shown in below Figure. You need to enter the test script name and the project where it is stored. With the exception of the dollar sign ($) and the underscore (_) spaces and special characters are not allowed for test script names.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://1.bp.blogspot.com/-e1vAw8i-ZbE/Tn69ACxAvjI/AAAAAAAAAEE/KwF4pHHr_0E/s1600/Record%2BRFT%2BScript%2Bwindow.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 348px;" src="http://1.bp.blogspot.com/-e1vAw8i-ZbE/Tn69ACxAvjI/AAAAAAAAAEE/KwF4pHHr_0E/s400/Record%2BRFT%2BScript%2Bwindow.jpg" alt="" id="BLOGGER_PHOTO_ID_5656165990464011826" border="0" /&gt;&lt;/a&gt;Record a functional test script window where you define the project to store the script and define its name.&lt;br /&gt;&lt;br /&gt;When you click Next, a second screen opens where some advanced settings can be defined.&lt;br /&gt;&lt;br /&gt;When you click Finish, the Functional Test window disappears and the recording window becomes available, as shown in below Figure. From now on, all interactions are recorded! The recording window shows various icons that give access to wizards and functions, such as verification points and data pooling while recording. The recorded interactions are also displayed.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/-LuoD7nmT0ZY/Tn69nfMu5RI/AAAAAAAAAEU/X2N3jw02iIU/s1600/RFT%2BRecording%2Bwindow.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 307px; height: 374px;" src="http://4.bp.blogspot.com/-LuoD7nmT0ZY/Tn69nfMu5RI/AAAAAAAAAEU/X2N3jw02iIU/s400/RFT%2BRecording%2Bwindow.jpg" alt="" id="BLOGGER_PHOTO_ID_5656166668111373586" border="0" /&gt;&lt;/a&gt;The recording window&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;Any interaction against the Recording window is not part of the test script. You first have to start the application under test. Select the Start Application icon and then select the application from the drop-down list, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://1.bp.blogspot.com/-cNOTb4TrGUw/Tn69nrtyAdI/AAAAAAAAAEc/P0CJVl9gCzc/s1600/Start%2BApplication%2BRFT.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 268px; height: 241px;" src="http://1.bp.blogspot.com/-cNOTb4TrGUw/Tn69nrtyAdI/AAAAAAAAAEc/P0CJVl9gCzc/s400/Start%2BApplication%2BRFT.jpg" alt="" id="BLOGGER_PHOTO_ID_5656166671471215058" border="0" /&gt;&lt;/a&gt;The Start Application window where you can select the application under text. This starts the application and generates the steps in the script.&lt;br /&gt;&lt;br /&gt;Selecting OK starts the application. Remember that this action is recorded and it results in an action statement added to the script. This is also visible in the recording window. It is normal for first-time users to perform actions that are not considered part of the intended test script, and as a consequence, results in erroneous recorded steps in the script. All these user errors can be corrected at a later time.&lt;br /&gt;&lt;br /&gt;When the application under test is open as shown in below Figure, you can perform required test steps. First select composer Bach, and then specify the CD selection. Click the Place Order button and log in as the default user.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/-WqZhuzhthQo/Tn68_kURlaI/AAAAAAAAADs/eJ65ZtKOYsQ/s1600/Classics%2BCD%2Bapplication%2BRFT.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 300px;" src="http://4.bp.blogspot.com/-WqZhuzhthQo/Tn68_kURlaI/AAAAAAAAADs/eJ65ZtKOYsQ/s400/Classics%2BCD%2Bapplication%2BRFT.jpg" alt="" id="BLOGGER_PHOTO_ID_5656165982290417058" border="0" /&gt;&lt;/a&gt;The ClassicsCD application&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;To validate expected execution of the application under test, the test script must be enhanced with check points called verification points. A verification point is a check that the current execution corresponds with your expectations, which is called the baseline. A difference between actual and baseline results in a fail status in the execution log. Differences in the consecutive application builds that are not checked with a verification point are not captured and do not result in failures. It is best practice to verify only what makes sense because verification points act as your eyes.&lt;br /&gt;&lt;br /&gt;The Verification Point icon shown in below Figure enables access to Verification Point. Let us say that we need to verify that the total price is $15.99. While recording, select the Verification Point icon on the recording window.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://4.bp.blogspot.com/-0JaO8Wg0hgQ/Tn6-2OKbndI/AAAAAAAAAEs/8S5fdHWJoK8/s1600/Verification%2BPoint%2BIcon.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 24px; height: 24px;" src="http://4.bp.blogspot.com/-0JaO8Wg0hgQ/Tn6-2OKbndI/AAAAAAAAAEs/8S5fdHWJoK8/s400/Verification%2BPoint%2BIcon.jpg" alt="" id="BLOGGER_PHOTO_ID_5656168020747984338" border="0" /&gt;&lt;/a&gt;The Verification Point icon gives access to the verification points.&lt;br /&gt;&lt;br /&gt;The Verification Point and Action Wizard is displayed as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://1.bp.blogspot.com/-jG3QWCKfp8Y/Tn69npU6C_I/AAAAAAAAAEk/t7q-RjGVqeg/s1600/Verification%2BPoint%2BAction%2BWizard%2BRFT.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 304px; height: 471px;" src="http://1.bp.blogspot.com/-jG3QWCKfp8Y/Tn69npU6C_I/AAAAAAAAAEk/t7q-RjGVqeg/s400/Verification%2BPoint%2BAction%2BWizard%2BRFT.jpg" alt="" id="BLOGGER_PHOTO_ID_5656166670830013426" border="0" /&gt;&lt;/a&gt;The Verification Point and Action Wizard gives you the options to identify the object to be verified.&lt;br /&gt;&lt;br /&gt;Drag the hand icon over the $15.99 value. As a preselection, a red square is drawn around the object, as shown in below Figure. When you release the cursor, this object is selected.&lt;br /&gt;&lt;br /&gt;&lt;a href="http://3.bp.blogspot.com/-2IFaOADDm0o/Tn69AGU-RGI/AAAAAAAAAEM/tlEVUtAKnno/s1600/RFT%2Bpreselection.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 152px; height: 133px;" src="http://3.bp.blogspot.com/-2IFaOADDm0o/Tn69AGU-RGI/AAAAAAAAAEM/tlEVUtAKnno/s400/RFT%2Bpreselection.jpg" alt="" id="BLOGGER_PHOTO_ID_5656165991420150882" border="0" /&gt;&lt;/a&gt;When you drag the hand icon to objects, Rational Functional Tester provides a preselection for easy identification.&lt;br /&gt;&lt;br /&gt;When you release the cursor, the properties of the object selected become visible at the bottom of the wizard. You can validate that you have selected the correct object. Click the Next button to advance to the next window. In this window, you define what kind of verification point has to be created; following are the available options:&lt;br /&gt;&lt;ul&gt;&lt;li&gt; &lt;span style="font-weight: bold;"&gt;Data Verification&lt;/span&gt;— Use this for validating the actual data in an object.&lt;/li&gt;&lt;li&gt; &lt;span style="font-weight: bold;"&gt;Properties Verification&lt;/span&gt;— Use this for validating one or more properties of an object (for example, if it is selected or it is color).&lt;/li&gt;&lt;li&gt; &lt;span style="font-weight: bold;"&gt;Get a Specific Property Value&lt;/span&gt;— Use this to get a specific property value into a Java variable.&lt;/li&gt;&lt;li&gt; &lt;span style="font-weight: bold;"&gt;Wait for Selected Test Object&lt;/span&gt;— Rational Functional Tester waits until this object becomes available. Use this as an intelligent mechanism to synchronize with the application under test.&lt;/li&gt;&lt;li&gt; &lt;span style="font-weight: bold;"&gt;Perform Image Verification Point&lt;/span&gt;— A graphical verification point.&lt;/li&gt;&lt;/ul&gt;This scenario uses the Data Verification Point. Click Next. In the next screen, you can give an appropriate name and influence the default wait for settings. Click Next. You can see data here and make modifications if necessary. Click Finish. The Data Verification Point is created and inserted as code in the program. You can continue recording the interactions. While recording, you can add various verification points.&lt;br /&gt;&lt;br /&gt;After closing the application under test, you have to stop recording by clicking the Stop Recording button in the Recorder window. When it is selected, Rational Functional Tester’s main screen displays and test script is created.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;font-size:130%;" &gt;After Recording&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;After recording, you can improve the recording by:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Adding comments where possible. Any tester should be able to read test script and understand the logic.&lt;/li&gt;&lt;li&gt;Correcting the user’s mistakes, which were recorded and converted into statements.&lt;/li&gt;&lt;li&gt;Correcting the actions by removing the recorded errors and backspaces.&lt;/li&gt;&lt;/ul&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Validating Execution&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;A first validation of correctness must be done by executing the test script against the environment where it was recorded. Keep in mind that not only the application is under test, but so is the test environment, which should be reset to its original state. For example, a double creation of the same customer probably results in an execution error.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Timing Issues&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;It is common for an application to be slower than the Rational Functional Tester expects. For example, an interaction with a web page might be hindered by slow network traffic. This results in a problematic execution. In this case, you have to slow down the execution. Several options are available:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Get an overall slowdown using the Rational Functional Test parameter shown in below Figure.&lt;/li&gt;&lt;li&gt;&lt;a href="http://2.bp.blogspot.com/-96RbV-qw1gc/Tn68_9ymUyI/AAAAAAAAAD0/svJPOjnlnLo/s1600/Rational%2BFunctional%2BTest%2Bparameter.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 350px;" src="http://2.bp.blogspot.com/-96RbV-qw1gc/Tn68_9ymUyI/AAAAAAAAAD0/svJPOjnlnLo/s400/Rational%2BFunctional%2BTest%2Bparameter.jpg" alt="" id="BLOGGER_PHOTO_ID_5656165989128491810" border="0" /&gt;&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;The overall slowdown parameter for Rational Functional Tester; 30 is roughly 1 interaction per second. Reset it again when running in production.&lt;br /&gt;&lt;ul&gt;&lt;li&gt;Add hard sleep statements: sleep(2.0);&lt;/li&gt;&lt;li&gt;Add wait-for-existence: ObjectInApplication().waitForExistence();&lt;/li&gt;&lt;li&gt;Lengthen the wait-for parameters in waitForExistence or VerificationPoints: ObjectInApplication().performTest(ObjectSubmit_textVP(), 2.0, 40.0);&lt;br /&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-4067808165905934274?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/4067808165905934274/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/recording-scripts-rational-functional.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/4067808165905934274'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/4067808165905934274'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/recording-scripts-rational-functional.html' title='Recording Scripts in IBM Rational Functional Tester'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/-NLxdh0Ej2tA/Tn68_4ivwNI/AAAAAAAAAD8/4TkedBzsczY/s72-c/Rational%2BFunctional%2BTester%2BWorkBench.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-5476727426187805347</id><published>2011-09-24T21:59:00.001-07:00</published><updated>2011-09-24T22:11:40.247-07:00</updated><title type='text'>RFT Configuring Object Recognition Properties</title><content type='html'>Rational Functional Tester v8.0 introduces a new feature that enables you to configure object recognition properties. This feature uses the Object Properties Configuration Tool to configure the object recognition properties in the customized object library. While recording test scripts, the customized object library file is used as a reference for setting object recognition properties and the property weights in the object map.&lt;br /&gt;&lt;br /&gt;Object Properties Configuration Tool lists the default objects and the customized objects that are used by Rational Functional Tester, as shown in below Figure. If the required test object of the application under test is not listed in the Object Properties Configuration Tool, you can add the test object to the object library and customize its recognition properties and weights.&lt;br /&gt;&lt;img src="file:///C:/Users/admin/AppData/Local/Temp/moz-screenshot-1.png" alt="" /&gt;&lt;img src="file:///C:/Users/admin/AppData/Local/Temp/moz-screenshot-2.png" alt="" /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;img src="file:///C:/Users/admin/AppData/Local/Temp/moz-screenshot.png" alt="" /&gt;&lt;a href="http://4.bp.blogspot.com/-m-9c3CpxXe8/Tn62qIurGLI/AAAAAAAAADc/63_7VX62kxY/s1600/Object%2BProperties%2BConfiguration%2BTool.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 299px;" src="http://4.bp.blogspot.com/-m-9c3CpxXe8/Tn62qIurGLI/AAAAAAAAADc/63_7VX62kxY/s400/Object%2BProperties%2BConfiguration%2BTool.jpg" alt="" id="BLOGGER_PHOTO_ID_5656159017037928626" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Object Properties Configuration Tool&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;br /&gt;You can use the Add Object dialog box to add the recognition properties for the existing test objects that are listed in the Object Properties Configuration Tool.&lt;br /&gt;&lt;br /&gt;You need to select Test domain from the list, and then click Add Object. This opens a new dialog box to add a new test object for the selected domain. There are two options for adding the test object: you can manually specify the test object name and have it inherit the recognition properties from other test objects or you can select the test object using the Object Finder tool, as shown in below Figure.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;img src="file:///C:/Users/admin/AppData/Local/Temp/moz-screenshot-3.png" alt="" /&gt;&lt;a href="http://1.bp.blogspot.com/-JEYxFbDuYW8/Tn63Zj1ah4I/AAAAAAAAADk/5Z2r8yAqgMs/s1600/Add%2BObject.jpg"&gt;&lt;img style="display: block; margin: 0px auto 10px; text-align: center; cursor: pointer; width: 400px; height: 381px;" src="http://1.bp.blogspot.com/-JEYxFbDuYW8/Tn63Zj1ah4I/AAAAAAAAADk/5Z2r8yAqgMs/s400/Add%2BObject.jpg" alt="" id="BLOGGER_PHOTO_ID_5656159831767811970" border="0" /&gt;&lt;/a&gt;&lt;span style="font-weight: bold;"&gt;Add Object&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-5476727426187805347?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/5476727426187805347/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/rft-configuring-object-recognition.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/5476727426187805347'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/5476727426187805347'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/09/rft-configuring-object-recognition.html' title='RFT Configuring Object Recognition Properties'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://4.bp.blogspot.com/-m-9c3CpxXe8/Tn62qIurGLI/AAAAAAAAADc/63_7VX62kxY/s72-c/Object%2BProperties%2BConfiguration%2BTool.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-3005410138571510003</id><published>2011-08-30T06:36:00.000-07:00</published><updated>2011-08-30T06:44:19.061-07:00</updated><title type='text'>RFT Configuring Applications for Testing</title><content type='html'>Rational Functional Tester enables you to configure your applications for testing, so you can start an application under a test within Rational Functional Tester. This method is simple to configure and does not require knowledge of the scripting language used in Rational Functional Tester. This is the best practice because it makes playing back the tests more reliable.&lt;br /&gt;&lt;br /&gt;You configure the application for testing by opening the Application Configuration Tool. This is performed either from Rational Functional Tester by clicking Configure &amp;gt; Configure Applications for Testing, or by clicking the Edit button in the Start Application dialog box.&lt;br /&gt;&lt;br /&gt;When the Application Configuration Tool is opened, as shown in below Figure, click the Add button. The Add Application dialog box opens. Here, you add the application configuration, so when you start recording against your application under a test, Rational Functional Tester can open the application during recording.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;img 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Ztz5o74w53w9Wn45CDxxVFYfjB633W1AWOOXOq35mLnfA2kOiBBBzIbFW08egs9iMt2qPzD1JCgEifqQdoCs1Ti2BaItgTEq/ziNaIYC0jrQGaDOB0VpQWpUzxFqTEyTU0IA2tWH0MWmdfnKkGqD5jVBLJWv2gTSHWQpCVkSogxima0QJQJZDqY2dw3p3XqYg0kaomI1rWnWStin4KHEKvxj7ZCvNY/Vk1IW0CqgXglJGogVgcyLcQbIaaRTLYSUh0kqiBCNSRBe7MGzWa3qkVLoydihQmkamJWKxlnFUdbIMUGSRqQVUO8mYzWEnEOiGkEmV48o7VbgvJyHcMy9Eeb7hd8WS8IGL1QCTPrIdEAcU2QoIb4ZlF8PRWvg1kaSDRCEg2x9f6xjZCogTgVFa+lYlpFCToyRSmJ0gfOsEKMg5DqCZkaZhlHl5tGlxnJmUZiqq7ahHUGlETWQqJWEt8C0RpIboFkFRmvB1kLxKkhSQsJGkg0Q/wTUXItTLe1m6b98KjzSs3jO3eVKLibVNqb55tOXa3pGXUZ4tSQ2EJFqwKTtCBrhoRaUbSdinVQ0XqINfhPbN7xEyMg0y3usV+igZDq2hI6xGshXiv6vcdTPj7/GGScCuJ1EKcl4jUQ3wrxzWRka+pXhpMP2BnL3GXfoHw9ZnxMx60wRy11TH+Lj5wnjCjkB8uFoQX0oDznG6Vcf7k1aOLlR3U2cawx+UvD6bt07IeY8wUu22YQkEEeeQFZzoPIcDx6EWkeaYOr31xHb7kzaOq1R0+MklnaqI8QL28zlcboP3qb+3IhYzQgj97jW52xI5sieyiTR7K//Cx4Ee9d1sT3exr9/A8D2zHVle0mamBAJdHnMfQ8A4GLgHrpAjm6DqbWkTK9KKlh/J6bf35cfdtgen7FyaCVeybv+zl5x/mo4790/Op7WLpxb43mQHPdsF3HnleYIclNZJmJNDdMra9WepHBbQdqYFAlJGlhmkoSWSuaYCbGG2BqLUy2QZIFZilh0hNRmBkmNoona/1naolJLXov1lepIGDL9EWWD3ZUdxpxmopsoSZqYYKSijDADHW76BbxjFaIMMLkBtFEj3iCShKqOnSLcSP6R96G8arQBfSXmxo7jjwomqIlInUQboTJar+ZDohrEUepIKQeQvV+YVoiXEskuiG2IVBaB7N0nWcrf3jCelCIy7zy6qgfPjtiGJ93F6a1iCMayPB6CFfBdIckqrXdDC1MbgkYp4aIOmqijpjYSg3XLd/FosDPyTsAxI7RyY3rvzX0nHBCFKqD8EYyzAYRStFEC8S0wCyj/+QWmKqCeI14apM4shFkZphsgxAVNUEDUxsg9rH/xGaINASGN8IkDcyoI6Y2swyevWOGQZfE4ZaCz4wLl/1M9vsJZmjJSCsV2kxM1EC0GeJskqhGCNNDiFISroMIDcQqRfGNkGSAaFPwLBV0Odxn5FGWweVLz0lgCbyyCXod859oloQ1UeM9EF0LMiVMVkomNEFko2hSA8S0QkTD9ste5FD8xl6IamobvEB8K5nQCjI9EddMSHU+Pv/n/fpYRqYjpVpI0BMyNTVRN3u15dRtYeYiXv4VZn+Bs5dyMUvYKQvYKeU4rswxUOF8XeHuW+B4Ndvcv5jtp3C1n3b7caPGL06futp46r5r+mJ39mf48beCzYJ7ztP7L3OHLgm7L3A7fsBNP+GWH2mjme851/FqgSNo6rWH1QbRTE30x4gXN1nyp3o+KNQWz2QXlaP2qQsd5n1ftsaMou+cRx4tv5ysm9TLOOkFdfLIkwPb2Z7cCZhuggGV0LcGep2FwEUAL1yGsdUQpZUkmkH2tNOGQwdqmw49eJLx/bWfn1iu1CpP3Gn47o7uksr87qWzH12uuqJSvrJ1f2CamohzkLMNEGce+65Fw7AcMjcrVZ2jq2Cmo1uGde8l7/afhMO32c0/2rsmtUKYPfpT5Xf33Yevccdu2ku+dsIEnSRSqzRgzf3W8ZO27rzs3fidul3kwxfT7RvO2A7cwu9usLkbXeRUbdxHrT/XCAfvOr88Tw/MU876s9PmcnI8Lt1ZE/Mnft/P1u2HVeLIqheyVJt+Ek7f4ledcAQnqGCqLf5D19Hr/OEr7tPX6a8P63rmKoloMxFrgXBr0iqvAz3nfnjabuwPfpF6ItQqGldJRTZ9tIf/7pbnwDVXaJkRJlp7pJsPXMI9F+mDt7jNPxkj3jb0L3fWWJBD3LK7MqzU8/VN+47v9b1mVUniLJuuOXbfdO694fpwv4OItg6eZ7n01DmxwkxEuY5cNRbtdErG29/Z4jp2lT58HRWbLf6R+o8O4/ka/tB1YdFBd2Cq/p1dLDIWi8uW8J4qb611+w/CB6tqiOG1YX/mjl5lvr9tKN/qFU3RwmT9OzvNJy9Zjt11H7poXb7FFJDsBakZpDZCaiRlev8Ytle6w4u44t1D0O8iJGC3LM/mC94Dt+3rf/B0jWuFUMt4hWfnFefuGsefd1v9pmlhlHvXJafA8X6vriVitaJkGyQYQKonE1ohwQgxzSDV+fj8n0fEayDeAFIdxLeCTA8yFTlRn7rKfOoaTprvyfqUTvvElrrMHfOBZ8r7jokLPWPL7QNLXX1L2deK3K8UOPuUCb3lTsnEa5U1BkmMPWml++RNLvIt65wPPcv2cLeq8fVsZ79Cy5B89pUse5dUJxVn7pZhvaTEngXel+WuwCnXK2vMVJQ26mPEH9dZ00OsC/KMC9Ib0ydp3s9mTU3I8nTVAxrRe3l/69SehvEiQ+wA/bT+J4aR+uob/rPsMLiaHNBAvH6BCF4C0POhJOwxzDJQ8Q5Jhkq8fs/pp2adFR1er5fnTtY82n+3+uCDBoeDpxGtFudVFf3cxiOQppTMdhOpZoi2fHYUOaSbam2CxxK3tB7CtS/mmjnEk8cvfL7yuAdx589ch3GWJXtYZPCDspO/PGq1o1v6oRmmWtVO9sH9FuKlLSdrEdH5yqRTe25yAsev2HD3Zq3yp1tmCDf0yHXNfPfBmd1XvTy37SePZErrDQ2iwERO2tB+6NF9lYIX8ZWJR7+/6eGszKXL1R4XveUKLw63Fn9j4ZA/fUXzw3WvF3HeVjc1yQBZVphmSPpEzaCQmX0ExjykUs2Qbodo27u70IN467Zep9PdU2L3dO+LChsK3oY628HTzU7WebaKgWn6I/dojsXkufs69Pl+zUW7F3FC2t4DZ9RWK3dw/4NmrcvNY+DUp5OX0MhibM55GFuNHB47+hTaHzn+ABHddXdUK77Rwht3x7zlmvPWxYdXKhFRtszZW2FBFp88aH3lpRUD5zxpYbg7NfpXJ5xtsKCl5em1OzqOE3LXsH5j9WeqEXlm14m6SqWdQxxa5oJ4I6SYxKlWkLWCTPNyudmF7NLF34n6X/FLZU5UosOOv1yodjpxwxnsJDc91aJBr/7xl0bk6Pe226ihml1XeOT5Dr1WgswGiU6QGkFqJGRaSLKTSUaQ+fj8/4EeZGZIMILUCIkmSNARk00pqx3fXeFHFttSPqMTPrPKljimLXZPWuwJe885vsI7pAJ7lWDPIu75As9LJVxPuUM8+XpNnStA6pF97jhyGUMUjGyRa9E+95WnGDoPQ992Tl+A4xZ4hlUwL+V7e+a4n+q93RXe7vluv8jrVU/sonhT9GeIP6w2JYwwzE9q+VOi6t3Uxpmv2hckotkmMCxz76fGKT21YaRu5nOG6X2fTOt2Ziihqbn3/GQTDK0jB7cQ/S+T7T8CeO0hRGhhlppItcAca+8tJ9c8btz4qCbg05MvbTi56NqT5ibr+geVgzafh0+Ozv/56Um17rUdxym5EWYzkKSDKOPJqyy68b1PTgk8W/xFA4xp6ZptpJFfveYi+dyPt7WM1mKDEdcKd5oQ+QF91w7NeuJFnL9RS4xssVrpxkotwNdffo8ChwNHfcIhbvm2Gtrtksian5tcLQ6pW7CXM5m8NVWtXuS/P6WB52+evosc7SW6f+k//slHR5B345tD17vQuXPXIwjafqXB5XJiwMB783bRPHJDIrf0iat08vjB+scwuhLmuKhp+vRPnMjj1OlrIELtl4Uwu0k0zXqlweOyGwji60Xr7ByyozIevZDqRLSvXXGeev5EvdHm0NDQ9fyKAygg+/KAldRYTdw6N7I4bNJqpdl+6aomoMPuo+c8yCA15MzE5S5kmbjUraKhjwXEHYcvg2jLjw95hrc/1/NjiKwPSKrZeBu1GmdVgxbRkfrWQ8nQJwzimfPV0G4nTLI1Gjw1VU1jYzYKDCYmHgwcd8+N3M6zav9+9048MXusNHRcN2+ti+fZsMzLEGUh0q0wu5Wc7ZDE2frIvRyPy5eegT73n0sTkOO/PXzf33/f2dtul4sflv+Q5bBgwUmy70WvnbnxSBC9cH/vFUSB69TrKyKFh1RWMttNzvb4pZogjSZTnUSKy8fn/zwqxQYpHkh1ECkOIs0JaRbxDGf6RnbfVb5frj12GUYtdSQupifNd00o58YV88OLVYMrnD3neV6bz71U5u1aSD+fZyMmX79fawpOcmWscx29hsPzccpCZuEu1/0GjFjgnbTENfNdfsyfTEPecby2kH6tzFuvpjsq2E45Dir8WuUThzjJGv0l4tmVuln9rfMSjeXShtxUY0GW89b3Asd7bDbkne7Ny+sndNdMa6eLfbku6vnz/UXm+3e7zrTCaCUMUUH/q0SHTwBeekiM04ijVJDsaJ/hGv/t2bTzv1Q3G17ZfEK8ZGfiiQvI4rsXbsHyfS98dvBYnXrRpQejD5zv+pbFbzbnl+yGRLz61MVznsWfnEMOP9l2Vxxp6ToXaXRt++IC+P10pw5pvQfa7X3nO0QP9hj+de80O4P0ig9+hj4PDXa6/oEWJJu++BkR2SHDv0HOu/mrM/DcISoRyUmeKZ+4XRxu310f9PoJDvH4d1cBdp2uRES3qMcGmIFLTtmRp18ftppF/HbVWfA/dbfOi0YrtD9UsgsRHf3eXPNyipVD/GjxcRh4Q5SNEMfEfYkoYJH8IExrJaQomemCyfTlp16u1UaJ1uZt4ZBlB4Xv7pSj9yAuX3qG6nGlxYbNlSax/9efn3B6eew54isqwlu4CRkOIyd8deyi3W21nrxoViNn0LRA77XT33ciz06P2yAe/pAX8PCBXwIkh08/QCd6yOd2B83gPjnD8YJXVvhwdNxZZDBzzg5i0D0Xcqd/rBR12UskYo2OrbynGTVzDXL09KivYWQNCrhv7wNx0NWfniKaGQhanb8VBWTGhG+EKBWZxonSPTCHA5m3Z4WbQefyxWdh8GU/hZ1FZufWi0AduPSAo02uN2buQ5bNy9sNLz5AhjtzpQ7aH997nfEg3e7lzyENIRVFqU5IcfqlmmAOC2k0pLp8fP7PI1IckOqBFCekuiDNDak2aoZ79kZu30Xsk+6c9T6f8oll+QFctM+zcJdn/k6mcA9GfS30WqB7qcL00lvubiVM1zw7hF+/02ANTPJmrnfvuuB8da4t4k/Mu9+6Hj3mxi7QRyxxTp7PjHrfPvB9rvvb5h5l7gYVdiji2uc4idBr96sdZKItaiXypz5XTurVXDRNmzVSJZ/KPrgoCOi5fqL+7Wih+QmLyO5e5gyjLFM6qSKfv/gaOGruBEiRCtHDUC0MuEF1/gLgtVoqpFU80wrJ7uB042vv1A5Zf/qLxvpLjereG37ov/ug14NJe690X3lgb7Xy5FNlnz37BnypF+d4IYeHVEa+Ee2ItVXNa9f84NCyTothkMLsX+BBgf1y2ZXAkJ+abYKmWUt13VZ+hGMR+w9cOWeDFTl60ftnYMhNnRurq2oAtn15DhH5gcM/oQXuyrWqwOl30lczKVsw7AtO4PG9949PUjxCmrt656loxJ0D9z0o0P7dv4SZ+NFpBr04cNznHhYvXLw7PPuXRjtamur9Ou4v3EsjMiPe3Nghi0aeWb7sGAz92T+fgzQc8wFvMqPHqR79Z3XHAvzohLP3AtfxW+i1e8emHzx8C1RuPr4AACAASURBVJFhe034pkcmIjLLPjoV8Or9eiO21FeT1P4VZ1gUmF7D1kO0NXsLKyCGhGz79rTRw/P7D1UVlOzoH3cEBtbFfMohx8xfcjJkQY2AuOfA9WDq0PfV6EGD34sbiGTu8/PIonNs9NaK7WZk8PPPj8KsRprjL5+6D532QCo+MTI1t1Ujp20VkFnx0aXEFXUcMlu23obuZ65UIzpbIWi9fCeyyI2Y+gXEOUGOZD4NOQjp3EvzGUR26eJjMPR+h3x0IF7+6dHYuXce6bChXj1++nYacduG26llDS7EU8dvEc+f2H8JWaS7vPApmYxQgGSWk8jkYbadzETIckEW5/NHlPGviEyeyOTJDJ7M4CHL5++SwZFZSKa7qSwvzEXIRGImZm/GXWe5DsneiDIs2GQTkEEWBZ5FjkYG99+iu5Q5uyxgulVg1yKn31w3jLt7v0EXMNeTssG7/QIdkMJOLXcu3Oy8U8X0zbEPqHANeIvpX+h+scwIxdi12HNHj5JiDE5DGHu3qsYglrEz1zD43UfKCd0Nc0KVb2c66h7RiOz9HxvzRqkmdXAsmOjUKQXkvac226f6N40OuPIS4a66G5RAU+NN5DgXDHsIz60Bos9jKkRDxNogm4cUW7u3XT02Ph6wcdeWe09/afRcaG5CDm8onTdrDUeqG/sdPDNs+9Xe5dguHUHugRTnh0eRRly19ILfmAsnf3GzyE6qUAVmuBgBK5+2NNTpeFqYk7oP+j9cfAiRxQs/PHIiVl6oeX3EPtE006X72Eqbxxfc/fw0ogc7D/1qzje8DbHOzHEs7jvvlSRrV/7M8uhssgtIo9ZkGDGv6s/nkEXcuPcxJcVPfqBpdHR8Y83CjehAFBAdFpTNOQj971ScRpuAY8d8/XKh24b44fJDwW88ghIPZHhhDle8B100qh14rwUFxNgPda8XuavNiIKbZfHztWfJIftfr/CyAi7//Bz1+k/NHtQ01EHQxo+uIHI4cPQ2Mhrzd6AHrdExq65X04juqz81bv2mauMZTd5GHP4+WhCRNqscbhTY7w7f8+t66mwVTzOu4N7ryXTsU473WlBw0SoLIs88uFXdUWH4sRHRTmetbKYS8JGFaanSwivfbr+PyCKHePeRuW/Ed/7j6k48ERwuu7jHVsUugUOcMm2tWGoms52iuQyZg5DqGfxnQWDw02V7qTE3IBOLtlociF6eQ4t9du4JyfDHq894PAIKiKoWdUjUHhj96PPTLPJY9vn9jgovZAhUFkIOknIa8hDyEHIFnz8gIv83ZyfH538sHyEXIYeFXAZyBShAcQqm7+T3nPP6JznfLLAXrbRwiF7kHQJ6ER0o7LgpPF/k6v4W03k+Bio8ojksjL56pw7JdMzejHu/F4Kl9uEKJm8dzyBX/Vh4UIvX6px3G9mbNfyFRvy5UbBYvFDoFKXqyfFXH1brRcls9CaeP7xaO5YwJI4wLVIgY2KqrxgyJmnjRhoLplqiutpLZqLOgM3Vmln+mnEdvutG6B/faR+HZJiFCqNhZBXx3FqAV+6II00QbYO5NKTzogz+5eVMxPrmV3Z8H3PkkuL69TU37s67dnXaT5ee33xwzL6br63wihQIhQJZ4iVysOcC7o3SS0ED10Kmvet7+GbqhU5vHOhQ6GUR9x2/1Wvc7pciD1LDf4BUXHiEYQRMku8ZMPn7zm9+A9FPYIHz5QX8IMXjF2KqehW6Rqefh64rJFlcz7c94+R1IyO+7jr5FKTwXQvpoeWG16cf6JH6aHTioS4jjweX8/1KW0ZO3AKjv5csxfFpR4huX4izzb0XucbEfNdn9BcQerF9Nt3hfdeYjMvtuywDhTN84f0uL7wDM57CAl40HyEX/bKw11v8yLwrIyeuHxy2Nyi6BZJdr7/jHpF5bfDozUHDj0Kqq0MRE/JWy/OvzIfIygF/wjfGfAl99nV7jw9PPBHYZSUU0MHvCBHZ1yB4xdoLxq8O3HltwJp337niZfStFiRknp7vOoamPnhtyo4hied6DFtCDb7y2p/5YTG7xK+uoYqEwEz61XJ6RPG9XuOPDs/RDJp1FKY/fG4hP0zxqP/glTCp7rWlriER68XdvmlfIQwus4+asLb/G19LIh6TChzwrn3M1MPw4uZu77KhufXBHd+HTIYqZagShEKUFCHku2eW3pb0Ww4xN8h5fMdcHDTPOyzh+8FjVsGb+yGLI4px+Hz1G9N39HpzB4y7Ssixw3zsV+bpnXIJko3+RXxQIUI+EoUeyGWIEhQV+PwRkQVI5AuQx0MO91uEz98FsgXIQSIXyVwW8hDyaHGic/YO75aTHoixDKlgx87z5HzGRX+AsZ/gjI+ssz93TF2O3YrwpYXoXypISm1UmgeGXKmsMnbIx+xt9O5TgmQGM0zOj3+byVhJZ3/O5H2FaWs9WVuY2V9gwufsrDWecYsxsIihkl0w8urNKm1gDkZt5nHnp/ohRGvcgNbkyfqFefXZk5Tx/Y1z39RljdKm9TFMAiZnoDNzjDEUDG/CmXZgfni3WzIP4WYiwg2jH5OdvwZ4+T6EGUHqhmwHWcRCtgByrn2ho9+n6qjtdT2+OgcfnAn66uyUzdfD1rW2m8/DPC8s5GA+QhnCPIQihFxanO8KKEKqgBVnuSBL6P4uzSF+vfmm5JWfiEIMkCPksaXfuZDDgW9+DAl2kHvIUoQyJiAPId8NeU4oQXEGTchdUMpCEUKWl8wwkQUICoRyhAIOZpuJfCQUCDkIeUjkImRaKAUnKkGYzfrNRfE8hDwk0+yQaREVIZQhWURDNvpluqAUybksmWOFt2xQhGS+3b+IgSKEQgQ5J55rh0wbyJF4yxMoR8hAmGOSFHmhgvMrQSrbCZk2eAsJBYqzXGSJB0qRyKKhwOJXgRIFwlz0Szc/0AtOms1ay3x8gXYhXj7+EEafExejfxb6zbYTchdRYCVKUVKAZJpVomCgDGEBQg5CFgdzjVDGQIYBSllRgTcgxyPOcgUUIhSxkG2CYgQ5Bucj5FiJLAbmc1DqkhQhkUxDMQsVXskcW0C2E0oQSgQoZEDOiEsRSjEoEyUZbrIIoYyDQoRihHQGZtvhLY+4AgMUTqoAqVQG0ryiBQjz7KDgoNBNZAswD6HMAiU2qEAoZUk5DaVt6/f54ylDKP23JcU+/wOFAhQjWYSUgqOKERRevyw68zvc+p1XHGrrNwf7K7xD5zpfz/D2z2UGZLE9CrGT3NW+2NqhyCrJxUAFCxONMOjG1UY6cD6bus25+SQH4ebemcIAueu1fO8rcrZnvvvFfE/3QnOXAldguofKMUCOg8i2QRTCgB/vVZkCFMKUXW5+79sP+0L9jN6N0X3qZ/Y0xAyyykaopT1b4p9XJ/TXxnTRRrTXjRXpQ+HxG+S5TuB8+KBjhgBT7EQkDWMeE53XAPSogjB9wBwG5jogzwG5DBQjmY+iAgQ5QjFHFSGUI1EhQJlHXILkOwJUIFWBweUoKeSgiIYSQaJAUBihGIOLUJyDLy/EE78wOemfUGMukAtZqgAhHVN20VcuPnqjz1JxGkIFL1HQ8BZCridQjpJihDLWv4ih5EiUYkC2068IyXKUFCGl8FLFrH8RA2VIFqBfnheKeVjgIt9CKHJBuVcsZwJKEORIFXrIYg6KkCxDKLX7KZAs5KEIiTIOylBUgFCGUMT55SEUIalAcQFHFXupQoRChAo6sBhBwZNFLKXgoAzJEpZQCKBAUfG/9GElXiizQymCHGEeBrd1PMUsKBxkKU5YxW/6gT57xX788K012yoDBmyA2bUwj4VCj18ZQhFCqce/BKECoRCpMoQSjygbiQoUlwptv6qgIgSFB8oFKHdDCYryEOYh8RYNhSxZJkAhQoUX5vOgoKkihFIUl9ihjIN5CEVtn4J/IUryaf8SXpKHUIKSQiSLOf8inipAQsFBiYdUoKgEoUIAuQAFCGUY8Bbblh38ChGKEMoRSpCYh6DwUEUIxQhyJqgIyUIki3z+iKAYoehXZPG/+v2z5D8nsoSFYp4qRlEhLypCKBQkOcKEtXj4PvP6rJ/h9bMw8Y5o7E1izC2IuAJj7kLITRj/CMIqYdwtGPEUht2CwT+HZN+6Uettr3BHrcWDt5z94u7D679A2A0Y90AythrevEuNeQJj7kFoFYSqIKwGxtwSjbgPva/OyP7pej2K5cyQFaxw/eeq8cEHusMP/eF4HzjVi7rcAy6/SvzcT/xLT7jyAtx4VfJjV7jU1e9UkOjurF41tSq/TIQpdohww5tVROc1QHV/TExsJWN1kGoW5bBUuhfyaKKAhrdsoEC/Igwo4CVyJMsEqOADSjCwbbDwjpssdhAKhPkIpZxYzkA5QhGCwklW0CCnRclqcsR3RLqKWmDxL0EoRCj2QsQ9GHvZv+jXymQpQhlCGRKFCKUMzEMoRshHqgKhlIZid1uJSM5BkZcqpaG07eh7xCVOKhclBRhUjFQJQgEL83koZ0GOZBmSxRyUcRIFDSU0WSZAqQOKHZJCgSjFwEIeSjlYyEOhm5LTUI5UCUoKEUoRiliYR0OhhyxHohShhIH5QqAcSQUSJRioQLIYoZAWKbBDAUIJwjyEQiawGAOLGChDyEeQeWDKQ8mAszDpCaS7YAEShZ5fO4ZCQVyKRL4bCgUo8UAFD0UoKeZIhRuK3UQ5C8VIKBDKBchDogRhHorlDFGBUOClChFKWbIQ/UoRCnmJAgk5QgkrKmGgiJEUIeQjlCKUI5QhFHNQykKxAPMFKOHIEg9Rgm2HBUoRSpHKdwWUIhSipBChyC2SO8VyhAKU5CCVi2QeQoGbyhOofKRyEPIRCpEqQMhDKBB8/oCI/H9FFiBZgFQ+UvkIcp+/SyEDchqKkChkIA+hECEbA/LMy3bxF+5wB862rDv75PD3dadOKvefajl8RvPdicr9p1oOHW85eEq175h+59H6wydbzv5imvExQrpblInz9tOXKtVnjz3ee0Zz+FjDkWNPD55T7j3bvP/72j2n1btOqg+dbNlzULn7cN2uM/rv7ruivrJBOoqyUb7VqXl43Xz0M8ehL/mja63fr9ccXWc+9rXl6BfuA5/SR1Zaj31pP/oVs+trz+HV928+Cv+QJSe5iEk2IsINbz4mOq8BotsDapLJL9YmSjRCso5Ms0OeG7KNRLYF5jqhxA3zvKQCoQShwg3ler98IbAIQUETbQPSuQzkIxQglYfiPBpKEPIRchDkGFSIbbN+WW3ZAWEewlsIBQgFbihkINtJFNBQwv76G1VwUICQj6BAyOdBzkEhBwqEIqTyOCKHgSKEAg4UCHIU56MoG6GAhyJWnMtBAUIBQq6LUnCSPKTyEQq9UIhQwEJb15LPQqGXykUiGyHXLc5DUCDk0ZJsW9tJ9c9Fsm0lJQJkcQFyhDwachBy3VCMkOcmclEiRyjwENkoKqKhyA5yri1dQoaNKKBJOesnR7IYoQz9FW5xjie47e4nlwlQcG1HgCxAohChwAMlDChQXIhkLh+cg1Q2B3IPFAj+eSiWM5CHlBwhn4NCpHIR5AgKL1XgJfMQ5B4o4qCEgwIOihFyXFQx9+tBy+FExUgVIuR7IJ+HuUjloSjXC0UI+a62h7OEQqByMTDHATkcFCNViEQ+gpwncmhxkQDZHJWH1FyEAiRzWSofoQAhi4NiJPJ9/ojIPCRy/w0yB8mcvyz0+S+i8hHyEfKQyPNCDrZlG0j3kJmM7BtM2ybIvuXmbMc5W9ikbSjbienbMOVbIWsLk7bDm7aDT9nPzt6Ow5cgZLkh10pmoDiPjt6Ec3d4Y79lZ2/H9G3upN0o3epM3epN/RZTdrJztnKzt2PSNjZtGw77kweSEGReUYINkjFsOcZtxFlrceYaLvJrOmYdxq7DCRts0Wtw0hqcuIGVrvFEf4VTVmO/Qi+Eu2CSURxpE0fQ1Jga6LQK4MW7EGaFMDOMfwhjL/m/+RBG1cD4p0RIvSRSC+FPxZFVMLkeJhsCIyx+UzQwswlmGiGmgZjaLJqkoaY2QoSGDFVDeDMVVgcTTBCmhklqaoIGQvQwSQmT1RCm8Y/U+IUriXEaiNCQk7SScSoqTEOFmqgJGghVEeFacZgexpthQhMR2gKRejJCCxFq8fjWduNUENYMkWbRhEYI1YsjdKJxOphggom14ohmiFRBZIPfOKtkrAXC1BCphQktEKYUhVghzAQhWjLEBKFGCK0lwnQQZoWIFohUwoQm/zAlhKkhwiKJsEK4kgxrhgg9hKuo8BbROK0oXAthdRCphYnNMEkF4SpxuBoitVSYFiI1kgl6iKiVhBiIcA2EGSHCRUTqILIFJmggQiOKaIZwrSTEBBEGCNfCBHVgmArCVcQENYSrIUIJoa3i0Ea/MK1onBfCWmCCBiJNRLgGJjbAhGbJeI0oQkmGGCGsmZpgg9AWv7Ba/xAjhOlgYqtovJ2IMBJhOghtFY/VwWSDaLyaCtMSE7RkmJKapBSPb/IbZaEimyC0hYxohXAtRGipMA2EtkK4AUJbIFINYRqYYKbCVRCqgvBWIqIVwlpgshoiGokJSghvgnA1TG4lIlpEIXUwQeUf3gohzRCu9vkjCtNAqBpCVDBO+W+M9fl7UMO14vF6eFMnGlsnHt8KYxphnEE0WgtjtcSAZsmgBtGQOhhoh0EqGNgKQ6thSBMMN/n1t8HAZuINDQxS+Q16Qg63Bo3SQIga3jTAGB0MVZED9DBEDUObYZgKBuj8BqqC3zDCQA0xVE0NUsPIWhhpEg+qgeFKYoQKxhhhfEvwG3Uw5Km4fx30V5OvNkHfx1T/J34vVYveaIahTZLXamFAE/Srg9dqqZ61ot6PYdAT/75KGNoMY6zUmBp4bjX4d7tLRrbCFPe47NuTcm+FFVSPzK0dWVQ3Or/+ryuo+evy63z+mfyt8yiv8vHx+UN5U/F4tLxqtLxypPzhKEXlKEXlGPmDMfIHo+UPRsurRuY9Hid/OqagMrSocqysAUYbiSEPoPM6gC53yclN/rO1p+7RXkQUEHkUeBoF9PHx8fH5PfH/4t+XP5vgEHlEBpHH7x8gjDESfc9SHT4EeL5BMk0H8fVnKm1eRC/rRkQBWQGZvwqR/asEgfP5J/K3zuNvfk0+Pj5/NL+GgMgLSHO82yvYXYLTyTkdNM+z5+9y8IZL0vcHKnglQJd74qktpLT27H2rt20xFgUB/9vxu3dxPv8tvvCFL/6pou3C5QXkeKQZdNFocXAmG683cUYzb7F4OR5PXkEYboW+p4jOq0DUrUYSqaWiVT/eYgQWkeOR9qLACvi3/K10wfv8U/n9+xcfH5//OhbRy6GnLa3b0GTjjVbObEOjBY0WNFs5QcAT1xnyTTMMuACdPgboejVgejMZ33LuHsMgsuj1opdG5m/eFnB/w+9+v+Lzv4LjfHx8/igEHnkOeUHgkGPQ6+Y9Tt5lZ+0G1m7mbSbWbkG7Ce1mdJoZZPHMdYQhbuh9gei4CqDbrYBZeiJWe+4miwKiwCOPPCv87t2Uz+/kd7+l8PHx+RWDHIOCB9HFo4MVbLRgcQtmF5qtaLWjycabrG3Ddmx7LPP9VaRGOIk+x0UdPwXofpua0kJJlWduOQRERI/A8f/hRf63ksJ/8CTH5w/od+9FfHx8/hNuFNwouHh0MGij0exBkwtNLjSb0GZFk0UwmdFkRpsFbRZe4PHYTYThFqr/Bej4CRDdb1ORKipee+q2jUNE5FFAj8dF0zTDMHa73W6322y2tif6HMdxHFdSUtKnT587d+74+/t/+umniOh2uz0ej/Av72F5nhcE4dms2+1mGIZlWY7j2r79i89fXxcIwrMSlmV5nh80aFBFRcX+/fspiqqqqmprwF/Ub6ss/OYVsMvlcrvdbSUlJSXdu3c3mUzPKvy2YW1r++3nszbY7XaPx0PTtNVq/W07BUFomxYE4cKFC6+88krPnj0vXrz4bK+ffftX3of8y7d/sePPdurZviNi29bbFlm5cqVEImlqavqLRdpq/nZzz7b+VxvgC1/44j+O316k/x+t/y9Kfr3qn/2LhRcEQWARaUQnCgyim0UHLVg9vMUtWL1o9aLJjRYzZ7OgyYxmK2+2otWMNgsvCMLJGzw5wg19zlCdPgfoerPdLDPEqM7dd7EoIPIMzS9Y8BYA9OvXb+jQoS+//PKePXue5RFEjIuLA4CnT58GBARs2LDB6/W++uqrI0aMaMsp/z7jdOvWjaKo99577y/2imGYtolni/w2uyGiWCyWyWQnTpwIDg5+9OjRb+u0Bcdxz2bbpnmeDwsLe+6559q2vmDBgh49etjt9r84rH8197W1p23r77//vp+fH0VRCoWireS322VZ1uPxAEBubq4gCB6P56+eQpqmn83+xRbbZhmGaZt41j+1bUsQhMzMTADwer2IuGrVqk6dOjU0NDw7Ys/W8O+P9m/PlC984Yu/I3iefzbk+t8aKj1bD8dxbdO/HdUJ/1KHE3iORxbRg+hGwcOh04s2WrB6sC25W2g0uoT/ILkTw13w2imiw6dA9bgbNMMIUS2n79jbkjsKOG9eKQC0trYi4rPMtX///nXr1u3cuXPEiBFisdhoNB46dOjJkycXL14MDAx84YUXVq9effv2bfzNqFwQhPPnz3fu3PmNN94ICQkxm80cx1kslu3bt9fV1V24cGHlypXHjx9HxJs3b+7atUuv13/zzTfr169vamoSBIEgiJkzZ7Isu3v3bofD4Xa7t27dum7duq+++spoNLa16urVq1988cXq1asvXLggCMK9e/e6d+8uFotXrlx5+fLl+/fv79+/HxG1Wu369evXrFmzfv36EydOtNX89ttv9Xr91q1bV61aVV9f33a78OxkDBo0qEuXLoj45MmTLVu2GI3GzZs3t9VExM2bNwPAyJEj1Wo1Ih48eHD9+vVr167dtGmT2WymaXrXrl1NTU2//PLLnj17dDrdgQMHtm7dun79+sOHD6vV6lWrVq1fv95isbSd5vv373/11VerV68+cuSIIAi1tbWDBw8GgM8+++zs2bO1tbW7d++madrj8WzatGnt2rXr1q07ePAgy7J1dXWbNm3SarU7d+5ct27drVu38Df90G9vdHzhC1/8p/HbkXtzc/O9e/cePXr0+PHjR//NqPpN/Puvqqurq6qqKisrHzx4UFlZ+WwUyAm8lxe8iF4BaR49XFta560evi25W+j/WnLv9T20+xig8w2/Ka1ime77W9a2xzKsVygvLwMAnU73bCC5YsWKjh075ufnL1y4sHfv3gBw//59kiSXLVt27tw5Pz+/zp075+bmHjt27LdPV3ieHzly5EsvvXT9+nUAOHjwIMdxtbW1ADBs2LB58+bl5uZ26tTp6tWrixYtAoC0tLTy8vJRo0YNGTLEYrF06NAhKSnp22+/BYBHjx4tWLCga9eupaWl2dnZhYWFNE1funQpLS1NLpenp6cHBwf/+OOPN27cCA4OFolEBQUFP/30U2ZmJkEQOp1u+vTpffv2raj4f+x9d5wUVbZ/z4xpn2Hd4OrboM/dVZQgoiBIkCwjUUBhBRQEMaySYQCHIIjAICCZIUuaHGACDDPDMDnnHDpO6NwVOlV1hXt+f9yZtugeXF1++/a9R53P9zOfmupbt27dqvqec88999Tq999//9FHH83Ly9uxY0dgYOD8+fNXrlz5+uuv9+/f32QyQY8JLAjCyy+//OSTTwLArl27FArFO++8s379+pEjRz733HNms3nv3r1BQUF/+tOf1Gr1xYsXH3vssY8//nj58uW///3vlyxZ0t7erlAoBg8e/MILLwQGBpaXlysUimHDhq1du/Z3v/vdF1988eWXX/71r3+dPHkyQqihoWH+/Pl///vfP/nkk1/+8pdRUVEtLS1PP/10UFDQwoULExMTN2/e/MADDyiVyqVLl/7nf/7nypUrP/7440ceeSQhIeHChQuBgYEzZsxYuXLluHHjnnnmmerqau9j+t/7Xsgiy/8FwSYRx3GpqamHDh06ceJEeHj4iZ8pJ0+e9NkTHh4eHh5+/Phx/Ovx48dPnjx59OjRkydPqlQqQCAC8nQ72YEBcPPgYkXSLRAukXSjn0juqSWom9wfC1MEPlXxH8GWwLf12OcuijwgWLbsc4VCMXHixMGDB4eFhQHAwIEDH3vsMQAQRXH27NmYbQMDA7Gz5Yknnujfv7+3d7y0cvjw4aCgoLi4OI/HM2PGjN/97ndGo1Gr1SoUiunTp2NjXKFQrF27dvfu3QEBAadOnQKAo0eP3n///cXFxY8++ujf/vY3zF/V1dUPPPDA1KlTcc3x8fEMw9TX1+OxAkmSCoXi008/5Xl+6NChDz/8MNYu7777LvbXBwQEbN++XRAEl8t13333ffrpp/v27VMoFOfOnRNF8cyZMwqFIisry+v3EEWxf//+Tz31FELom2++CQwMPHTokCAIiYmJCoUiMzMTAAIDAxcvXgwAI0eOfPjhh/GBixcvVigU+IxTp07Ny8tLS0trbm4OCAjYvHkzAPzmN78ZOHAgAKxatUqhUFit1o6OjoKCAjyfERgYOGHCBACYP3++QqFwuVwIoa+++gp3uEKheP/997HGffzxxydOnBgTE6NQKLZv3w4AN27cUCgUly9fxs4ckPldFll+pnhtU4fDkZGRERcXl5qamvz/T1JTUxMTE5OSkvC/KSkp8fHxKpUKISSI4AFwA7gBXCI4PeBwiwSDCKab0wkGUQxQDBCuH/O5Y7eM4rEwRcCT5b+YZMY+dwGA41hAsGrVioCAgKysrIqKira2Nsx0v/nNb/D1Y597Q0ODl1aefPLJAQMG+MyRchy3ZMkShUIxcuTIYcOG9enTR6FQqFQqpVJ5//33b9myBQBYllUoFCtXrty9e7dCocAujmPHjikUivLy8ocffnjBggUXL14MCAioqqp68MEHp02bhocw+CzHjx//wx/+MHDgtgnTNgAAIABJREFUwMGDBysUig8++ACPFR566CF8kzBF1tbWKhQKzK0ul0uhUHzxxRcHDhwICAjo7OwURfH7779XKBS3bt0CibsNkzsAfP311wqFoqWlBQAwud+8eRMAFArFokWLAOD1119/6KGH8JOxaNGigIAA3Dnr16/HRNzS0qJQKLZu3YoQeuqppwYOHCgIwvLly4OCgmw2W2Zm5p/+9Ke+ffuOHDkyICBgwoQJoijiluPDt2/fjq8iICDgb3/7G+7e3/72t5MmTYqKigoMDCwpKUEIYXKPjIzEBWTnuyyy/FzBvIEQslgsZ86cCQsLO3jXckgi0j0HDx48cODAt99+W1BQwCHwiMiDgAFwI3BwYHcD5RRJFggGesgdeshd/MdumcfCFIonSh9+yxo00+B1yyABli//AhuV3viWgQMH4llKiqKGDh0aFBRUVVWlUCi+/vpruN1y95I7wzBvvPHGn//8546ODuhxUsfFxWGXxVdffQUABEEEBQVhcr/vvvu6uroQQkePHsWujIcffnju3LmXLl3C1BYUFPTWW28BgCAIlZWVxcXFCoVi9+7dAGC1WoOCgj788ENBEIYNG4apVhCEDz74AB+LPUg8z3McFxgY+PHHH3/33XeBgYG4bWfPnlUoFLm5udJAGi+579mzJyAgoKWlBSEUHx8fEBCQkZGBpwQ+/PBDURRHjx79H//xH/jYpUuXKhSKuro6hUKxadMm3CFtbW0BAQFbt27FfYUVYUhIiFdHfv7557irFQrF+PHjAeC9994LDAx0Op0AsG3bNqxdFAoFJneWZR9//PHg4OCoqCiFQlFcXMzzfFZWlkKh+P7770ESNvOvfhlkkeX/mOB3x2Kx7Nu3b/Xq1SEhIRs2bFh/d7KhR9atW7dx48aQkJB169bhajds2JCVlcUAMD2udjcPDuyEcQPBgs2P3G1O4SeRe8CT5Q9ONCqmdWTWMhwSvROqAQEBW7Zs2b9//9dff63RaEJDQx977LEjR45s2LDht7/97f33319WVhYUFLRp0yZRFD/88MMnn3wyLCysoKDA20EHDhxQKBSlpaXQ48aaN2+el/gmT558/Pjx7du3P/DAAykpKdjnvn379hMnTrz11ltPPfVUV1fXI4888u6772Lmra+vf/fdd59//vkTJ05s2bLl008/LSsre+aZZyZMmHDq1CnsFv/www8BYO3atY888sju3bubmpoWLFigUCj0ev2AAQOGDx9++vTpbdu2PfTQQ7GxsXv27FEoFB0dHQihU6dOBQQEYHscz6ikp6f/+te/fuihh/Lz88PCwhQKRVNTEwDExcV5LfeAgID3338fADZu3PjII4/s3bs3PDx8wIABEyZM0Gq1AQEBa9aswRU2NTVhfSYIwpNPPondMsuWLQsKCtJoNMOHDx80aNDZs2e/++47bLkDwJEjR+6///5NmzaVlJRs27YNa5dp06b17ds3PDz8wIEDv/rVrw4ePHjx4sXAwMC8vDwASE5ODgwMvHTpkvQZlUUWWX66eO0hhmGys7Nzc3Pz8/OLiooK/ykp6pHiHikpKcG1lZaW4j2pqam1tbWY3FkRWB5cLNAuRDBAsN3kTrDd/P5TyR27ZRS/K/vFJHPAjK60SgcPgL3uGRk3du7cibXKZ599VlRUhKOtly9fnp2dnZmZ+e2332q12i+//DI3NxcAOI7btWvXp59+euPGDW8HVVRUrFu3Dofc4D0pKSn79++vq6sLCAgYNWrU9u3b161bd/HiRVEUly9fHhAQsGLFio0bN65evbqurg4htG/fvoSEhKqqqo0bN1qtVrfbvW3bttWrV69bt669vR0Ampqa1q1bh3Xgzp07r169im/MwYMHly9fnpqaeu3atZ07d4qiqFarccn169efPn0aALKysrZs2UKSJABUV1dv3Lixra3Ne4+joqK2bdsWFhYWERFRXFy8adMmi8WCaXrNmjX47NIzHjp0aO3atRs2bAgNDbXZbE6nc8uWLdnZ2fhXi8WycePGwsJCQRDCw8PPnTuHEMrKytq8eTPHcXq9PjQ0dO3atSEhIbt3746JicG68Ny5cytWrLh06VJeXt6WLVucTidJkqGhoRs2bFizZs2RI0dEUaysrFy3bh0efyiVypCQkNraWv8nVRZZZPlJgjgAEEQQgG9SN7k4kQfgQfIeecPRQUQg8iAAAhDE7lcNASBASOjZBAGJIiCW8yAAjyhwSORB4EWO53lAgARoU2pb1DoewCMCw4Hbg5wMot0C4RIJBuGpVC9ottvnTpMiZQOaADslUoRgJ4GiOARicgkEDLIpnrmueGxft889aKbheoVdABAEDhAIwg/x1N45Rq+LBsc4gsQ/1X25t/vcvT5f7wauQa1WYwe0tzZRFFevXo1NbHy4dGGR93Qgicv0ntHH/yCNTsUb3tlF8AtZlS5c8jnQG5zkE3ovvWTcM/5hsD5x8dLwoV5b6NPJ3v04Cl7aPP9taVd465H2mCyyyPJzREQiDgn31DdVu1wuEBEAhxB40V0OkAio52Xu/oN/RQhJh823buXExiV4OKGktDw56QrDuLQaVUJ8rErZCgANLc0tGg0PwArg9iAXKzoZZHcDxfxgqpNuRLhEwiWSbiDd3ROqhA0oEmgKkQSiSSAokQe4UgKBrxAB/5WmeGyfIvCpiofeNEl97iIPeJmUKIo+vCzd9u6Rrjv9oYduX4rppWBRFBsbG4OCgr755huQMFRISEhQUBBehOl/Ln9S89I6FmmIurSYl9l9+M6fN6VVdd+vnhP56wPv4impavGGjYIfv/ucoldl4KPP/A/072Fv27zBWz6Vy3HussjyswQBCCIAgCi6GmrLWKcDRBEQ20uOPREBAkB8t/EuIoQQIAAQu219XsDWe9q163ExsW6nKyvzZuzly3arVdnYGHXpcl1NLUKosbGxubmZB2A4cDOC242cDHLgiVNJnIzNLeJ/CQYIBkga2QggSMBZIW0kWEngAOILvOT+rULx25IHJhikce4gdg8rsPjQtNR09ZqZPoazlzd7XWQPPeQoXUPvrcrLrV4j1P+8/skA8E6fla4+FYKflX2nbf9KRFH0GcFIj5Jevs+YRnp26bVIe8aHtaXLUH16D/8kHYtAb/fFR/PJIossP1EQiIIICIHAu5saa+x2JwLgkIhEDwCPgENIwG8YErCFz7tBEAGJOIocgAdBBE4QOKwDOMEjgsCLHAJRBEHgAYmARBARCAAigrqaemVjMy8A60Fecre7gXCJVheShkLi5akEA1YXImiw2MBgBb1VaDcJOgNou3jCBTH5EPAK1U3u9/2+CrtlcChkTwt74SC4nVW9jIa3/dmkV4oHCTn6EJ+0pA+B+p/Ch7KldOaTqkXqTfJvQ6+c6GO8S9nWS98+RrG/iS29dm/jex3QeDd8TuTTdT6KBPzuAvQ20JFFFll+uiDgALBd7ikqK03PK79Z0XqjojG/tqG4qbWkua1Uqa1UtVerupp05iadWacxV9GUinJrCJfKznTYPSq7S0O7dE5WTbu0Dkbn9uh51MHyGifTznAdAqhdvJYRNW5BzfBdrFBUVVtX0+jhgPUghhUZBpwM2LH7hQGvqY5hdYLFgUy0YDDzOr2g6eI1Bk6tFzV60OoRyUBEnoTcFU+U/mKSWTG1Pa3S4U0cJrXc4c4+XB9muZMXwltGSrtew9z/cC8V+tTjz4DgpzmkrfVnRszaPg5u6bmkV+Svk/yvy5smQnqWXqcivOL1IN2pl3y6AnpTCdLFVtCbAutV3coiiyw/Lgi47klRENOyc/ecjjqccOtMVsWl/Jqo0sao8ua4amV8jSa5rj2zxZRW15l0syamw5xrdBV2MXlmT4mJLbB5iixMMSWUOaDUjsqdUOaCYjsqc0G5G0o8YhkrljNiKSNUCVDP8anF5TWNrTwHHhaxDHjJnfIAzQHJgM0FFgcy20UTjYyUaCAFAymYrdBhAK0R1CZeZUQqPWj1iHJDRC4oXqEVz1xXPBamUPy25NEpBJ5Q5bDN3mPF4quVboiSfDo+ROlfXup3vpPF6u/T96c86Um7b8Dt/hapUvH3vPu4Yno9kf8Ywt9jI93v4932d9P7V/sPxX/2uNepYKki6dVNL22JvI5JFll+pohIwBOkfEZ+3onY1LSGjhoGKmiocECZCypYKHGKlU6od0ORwZmSWZPkYCoYqHZCKQtVDijjoNINlSyUOKCCgSoPlDqhwgPVApS6oYwVqxioZqHELZR4+HpBuFZaVlPb6CV3tofcCQZsDFidYLaDkQQjCQYCYRhJMJhA1wXqLlAZhTaDqDKApounGLicBwGv2rvJPeg/Kx+YYAiY0XWjyukld2y5S01gH7eDdODvbyCDn/UqNZB9fvLn6DvV0OvhvZ7XR4X4lJdysb+vxkviP0KdvbbQZ57Zx/qWlvcZCfnrRS+V+zvxpSW9O3vtdtlyl0WWf0JEHofCsOnZmd9fTctWdTXy0MpCEys2esQmERpYroUX1ZxY3mVKv1GUwTrqPdDsEus4aHaJDSI0MJ4mN9/CQSMj1Lu4JlZsYsU6p6eJQ0oGWu2ozQVNLNRzoornMwoKa0vKOQ943CLLgIcFtwfsbjA7BAPNGUnQ20S9TTQQ3RRvJMFEgdEMui7Q6EFtQSoTqI2g1QsUAxH5EPCqXfF0T/qBoElGxSx9erkdAPDnOLDPHYsPy8AdiMZH/mHonrQq6M1e9mfJXmcj71SnP+X5H9sr+/vPRvpMBfu0Wbw9MNTnkDt1GviZ1b1OCfTqdPJu3EnD+ezxdkWvWqTXs/Qq0gnwXmdxe72oO6lY/zT6/g3r9aLg9pvrU7+/1uz1Yv1b7nOsLPeq8D3pd/nrN9IupGbkt5tbeLGOhUYWWhhocEOTBxrcotIDFZ3WqIycUtbdwkErAw0MtLqhkYEml9jq4RucniYWGhioYaHWgxoYaPaAkkE1DFvPQ6MLmt3Qhti4vBtFJYUsC24POD1AusFiBwMBeqtgJjgvofvCgnRdSGsAlVFQG0GjB61eIH3cMncid+nL42OTSilDao16y/dqovp4hL196U+OCCH/1Ff+07D47D5hNtLX1Usc/u3vNarHJ1u6DxVKnSSCIODT+cfy+3eUT3v89/ts32kE4N0jbad/r0qbhPw+HuIz29HrT/hKEUK4Bund8Z7av3+ktw/PT/yIvpRekb+C8ZJyr4rBe4HetQjSWFKfMr2OkMBvvCj1Lsosf29LD7kLnmtp1y9dv1nYaW3hxQYWNTLQ7IYmFzSx0OAWVSyU6gwXM3PyWWc1y9W5hWoGNbHQIEADixocqJWBZhZqnajJAw2sUO9mWxm+yQH1jNjAokY7UvOgErn4vOy8wioPAO0WCIKlSYEiwWxDehJ1Oe7A7HdJ7uA3Myl94hFClZWVu3bt8lKqz/vAcRw+atWqVR0dHf7f5YDbXzap+NhWPobz2bNn+/fvj/Oo9XJner735O/Chtt5BP91u93Sw/2NXOghMpZlMd1IeSE+Pr5fv354JaqXF6Rt9vd6+6grXBgXs9vtPn3i1Sg+UwUkSf7tb3+bN2+etGd8tn36R8q20uuSlly1ahXOuS9tKvJzXnm/aiL9/Jb/xfrobOn8inR22ms94O6trq7esmWLz2SMv/WN+/nHHVzSe+Et5lUJuPJly5bhRdQ+fSLLvSp894PCManXr0Wn55QayDZObGKhxY2UDLS6oZWFVg/ScVCi6rx4Nb3Kw6p5aOeghYFWu9DGgtKJlDw0OPgmFlpZaGGgzQ06AdocYrsLdBxoWcEqgpEHM0BOVW1lhYp0snaXYKd40sZRhGC2oU4b6rL/a8jda2yeO3fu97//fb9+/Z5//vmFCxd6X7aKioo333wzOjo6ISFh5syZmIbwUXV1dXPmzMFdNHjwYJzrEe4wxAYJI3vFx9T1vm8xMTFLly5tbW1tb2//5JNPvGuRvK86+JnqUpMTF8vNzV20aBFCyOFwLFmypLOzE3qzZKVVOZ3OpUuX6nQ6KWvk5uYuWLCgvr6eoih/JoXelqr6G/itra3vvPMOJrjPPvusubm5+9GS2Mg+nSCK4sKFC6OiorRarQ9le6N3vCTI87zP8KLXERiu/JVXXklPT1+/fr2UUn2Ciw4cOHDkyBFBEFpaWv7+9797u1pK5T4sL/2X47hJkyaBJPpIavIDQFFR0YQJE6S1+VjTmJ1nzJih1+tBMtARe8Rb27Fjx7777jtp87w94O2EgQMH4nq8lcDtmlKWe0y6yV1gXcmpKQm3CqvMDpVHVHqgzQ1aFtRuaGNBxUIHB0Wt2ojEtEYPr2Wg3Yk0DLQ7od0DWqeoZAUVh9o4UckgHQNqSuhwgZEHO0JuYN3g8gDvBsEDfJe5w2joAhHcLp5yMqSTM1PIRICJAINN/FdZ7vhN2LJly9atW0VR9Hg8+IOizc3NpaWlx48fnzx5ssViMZvNL730Unp6Ok6tBQCdnZ3PPfdcRUUFQuj111+PiIgoKytrbW0FAIRQcXFxQUEBTofi8XjwW6dUKvPy8goLCxFCJpMpPz8/Pz8fABwOR0VFRVlZGU5ic+nSpWnTpul0Ooqirl27hhDSarUFBQWlpaVardZoNOL8MG63u76+3mw2m0ymqqoqnuetVmtubm5RURFCqKys7OWXX66urrbZbNeuXQMAg8GQm5tbWFjI8zzLsiUlJRUVFXl5eVLD9vr16yRJVlZWVlZWYlM9Jydn6NCharUaJ0XIycnJycnBTNHc3KzX61UqVUdHR3FxcU1Njc1mS0tLw6lsbDZbYWFhbm4uTdM6ne65556rqanp7OzMyspyOp0URWVnZxcXF9vtdqEn/2VBQYHL5ep++nh+7NixUVFRKpVKFEWlUllQUFBRUSGKol6vN5vNDQ0NNE17aa6ysjI/P7+5uRkhpNPpysvL8/LycAZjtVpdWFhYUFCg0WgAYPDgwU1NTbjn6+vri4uLcd631tbW3NxcnDp/7969c+bMaWhoMBqNqampANDQ0FBYWFhZWQkAVqu1qKiooqICF8b1FBQUlJSUQI8Wf+GFFzIyMtRqNQBUVVUVFhbW1dV5363KyspXX321paWloKAAd6zJZCooKCgoKJAS95AhQ6KiovCXdevr6wsLC71JdZqamgoLC7Va7ZEjR6ZPn15fXy+KotPpLCgoyM/Px99cpCgqLy+vpqbmr3/9K0EQ/hMYstyr0v3teEzuKQXl9Va31oM0LKhdYrsbNC5QuUUNK3Z6UEGj6kRsYrXItXFiG8O3iaBmhDZObHV7NE7QeUDNCJ0eZPWAUwQXgAt4pwhGgtC0G+oaDQ1KslVr1XToScrJugAh8IBoc7EmCswkmAiwkPy/yueO36Xdu3dPnjz53LlzFy9eFAShtrb23XffDQ4O7t+//5IlS3bt2hUXFzdw4MBXXnkFp4sRBKGjo+PRRx8dMWJEaWnpqFGj3njjjVGjRi1dulSr1SYnJy9YsGDevHk4/RZ+o5qampYsWTJmzJj33nuPpulVq1aNHj167NixiYmJKSkp999//6RJk6ZPnx4fH3/lypWHH354ypQpOTk5o0aNstvtn3zyyRtvvDF48OCJEyeGhYVt3ryZ5/nm5uZx48YdPnx47NixH330kdVqLSkpmTx58rx58y5fvlxUVPTggw+OHz8+Kyvr9ddfN5lMISEhb7zxxoQJE2JjYzMzMwMDA4ODg4ODg0+fPu314bz22mtpaWmPPPLI2LFjg4ODz549W1hY+Itf/GLEiBFtbW0XLlx48803x44dGxoaarVa+/bt+/HHH1+5cmXWrFl9+/ZduHDhxo0bR48evXHjRqfT2djYOHXq1Hnz5h09elSlUj3++OPDhw/PzMwcNWpUW1vb7t27x40bN27cuCNHjtTW1j700ENTpkwZP3784cOHMdkJgjBmzJjnnnsOpzNbsmTJ6NGjp0+fXlFRcfDgwaFDhy5ZsgTrTtzy5cuXz549e82aNRaL5a233urfv/+4ceMWLVpks9lGjhz58ssvjxs3bvHixS6Xa8iQISkpKW+//bZer1+8ePGwYcNwwvrLly9PnTp14cKF+fn5p06deuyxx2bOnJmZmfnmm2+azeaPPvpo1KhR06ZNKy8vDwsL+9WvfjVhwoS333775s2btbW1S5YsGTt27CeffOJlz6eeemrIkCFnz55tbGx8++23x40bN2fOnMLCQvxrY2PjAw88gC/5+PHjBoNh165dc+bMWbRoUXh4uPers6+99tpLL720fft2s9m8YsWKuXPnLlq0KCcnp6mpadGiRWPGjNmyZcvly5cffvjht956y2AwHDx48L333ps/f/6+ffusVutXX301ZsyY4ODgX/7yl9hkwYIksziy3JPC40hInnOnXr+WUVrTQnKdLHSy0O5EegY6XKBlQMcivQfKmtUXohObOY8FwIbADGAWwITABkAhMAlgFEQLi5Qawk4C7RTbrbaccnVJeVtNk6Gs0RmT1lajYmqajfkVjfnVarWBYgRAAIwbzDbosgp6O/pXWe5Y9u3b16dPH5x5EQCWL19+4sQJjuPKysoWLVoUGhoaFRU1ZswYqStTrVYPHToUAARBGDZsGPZmrF27dv/+/aNGjVqyZMmGDRueeOKJc+fOAQBCCJMyfqnS0tJmzZqF6xk2bNjFixcXLFgAAC6Xa8SIERcuXPj8888BwGazjR079siRIytWrAAAnU4XHByMswEjhDQazYwZM44dOzZo0CCTyYQQamhoWLdu3YoVK55++ulbt27htLqiKA4bNgy7lfAZhwwZEhERsXDhQgBgGGbAgAHQY7kPGTIkKysLH4gtx/j4+Llz5+Kx/Isvvoivd9q0aWlpac8+++z58+cBYOzYsYWFhQ0NDcHBwQAwevToiooKo9EYEhISEhLyxBNPZGdnjxgxAp9i+PDhqampb7zxBu6KIUOGpKamjhkzBje1X79+NE3j4dQbb7zR2tqKENq0aRPOjN/U1DRz5szDhw8PGzbMYDBIfcd79+798ssv+/Xrd+TIkSlTpmCbPSws7Ntvvx03blx7e7sgCKGhoYcPHw4ODs7Kypo5c+bmzZuPHTvm9YokJyevWbNm3rx5b7755rFjx3bs2CGKolqtDg4O3r17944dO3APT5ky5auvvgoPDweA8vLyd955JzQ0dPDgwQ6HAyTOGdxXADB16tSsrCwAOH/+vPcLUyUlJcHBwfjUL7300rVr1/7whz9s3Lhx6dKlf/zjH/GnqQBg8ODBeJC0adOmvn37bt26dcKECTNnzgwNDX3ttdccDgdCaN++faGhoRzHkST55JNPrlmzZvXq1b/+9a8TEhLeeOMN3IZBgwbZbDavCveZJ5Dl3hNeABAABJ65fiMtu6pRRQtdLOg9YHAhEwN6Bro80MWBiYcaZfux744n5uVey8i5np6Tmpl740ZOSuata+k3kzLSU/NvZVWV5JfVXTidlhpdlRhdFh1fqLeyOPFAnd56ICLZ5AY3ArWpq6hZk5pXWV7X4fIAj4B0siZa6LT+yyZUAUAQhK1bt+7cuRN6nviVK1ceOnQIAEpLSxcsWLBt27bo6Ohhw4Z5Iyswt7766qu4hldffRU7tb/44otz586NGDHi3Llz+GvROp0Ol9m3b19ISAiuPzk5GTMmAAwZMiQxMRF/nsLlcg0fPjw6Ovrjjz/G7vLhw4dfuHBh5cqVoigaDIY333zz1KlT+PsYGo1m8uTJBw4cwC7X5ubm2bNnx8TEpKam9uvXLyMjY9KkSfh9fvXVV2/cuDFt2jT872uvvZacnDx//nyEEMdx/fv3977nr7766s2bNzG543/T0tJmzJiB/+3bty/eePvtt69duzZ8+HBMr5MmTSotLa2ursYHjhs37tatWx9++GFMTMz169f79u2bm5s7bNgw6BkcZGVleXlnyJAhmZmZEyZMwF7vfv36YZYEgFGjRmEn2NatW7E+a21tnT59+v79+w8ePCh1X6xYseLbb7+9du3ae++99913382cORN/dWTHjh2HDx+eNGmSUqkEgJCQkDNnzgQHB9+6dWvOnDlbt249evQofgCuXLny0UcfJSYmHjt2bOLEiUePHsXqRKvVTps27dtvv8WPR0VFxezZs3fv3n3kyBH8eEyZMsXpdEZERLzzzjtLly71vj39+vXDLZw+ffrNmzcFQYiKivrggw8AgOf5srKySZMmYQv6tddeu3nz5oABA27cuBEXF3fx4kVcgyiKQ4cOxc/V+vXr33vvvaSkpAsXLmRnZxsMhkuXLs2ZM2fVqlXHjh3buHEjQshgMDz77LPp6elRUVFRUVH19fWjRo3CbXj55ZctFos0vEdm9ntbusldFNi09Bu5Nc0aB9J7QM+AwYXMDBjdoPdAF4ssHNSp248fOH4u+er56LiI6ITvY+IuR8VfjI2/GB0dEZ1wJjIis7hQpbGmRJVXZlrzM/QpqfWpCVWtFRoQQO/gs6rVVjvYCcFOiWbWU6sm4m/UpRfWkzzjAc5KeWy2uyN3xe/KeiF39MN82vbt2z///HOn09nR0cHzfFhY2NatWx0OR1RU1IcffhgaGnrmzJl33323rKzMG3XQ2tqKTUIAGDJkCCbxVatWHThw4P33329qanK5XHv37k1ISMDlDx8+vGzZMovFQpJkXl7e3LlzrVZrTU3NnDlzzp0757XcX3/99ejo6KVLlyKESJIcPXp0VFTUsmXLsNdl3Lhxly5dCgkJIUkyMzNzxowZe/bs2bt3L/TM0bndbp7n+/fvf/PmzVmzZmG7b9CgQTdv3nznnXdsNltzc/OsWbMiIyNxFIogCP369fPe80GDBmVkZEycONFrOSYlJb399tsA4PF4Ro8e3djYaLPZ3n333czMzFdeeQUfNX78+JKSkqqqqokTJwqCMH78+KSkpIkTJ1qtVlxJZmbm1KlTcV9hLpvYoX3MAAAgAElEQVQ2bZrJZOrs7Jw8eXJKSgq23BFC/fr1c7lc+KaMGDECk3tYWNjKlStpmk5NTV2xYkVoaOihQ4ekc6RvvfUW7uetW7fu2LFj/vz5aWlpFEWFhoaeP39+4sSJ2dnZNptt1apVsbGxY8aMwV139OjR7du3EwThcDgiIiKWLFkiimJtbe3o0aMjIyPXrFljs9mUSuX48ePPnj0bGhpKkmRCQsKyZcu+/PLL48ePi6JYUlIyduxYAKBp+tChQ1hjIYQYhhk9enR9fT0AfP7552fPnrXb7Xv37l21ahXW6GVlZUOGDHG5XC0tLVOmTPFq9+bm5jVr1hgMBtyxkydPzsjIAIBdu3bhlP1paWn4u2AURR09enTatGlnz55duXIlQRBGo3HSpEkul8tisWzYsCE1NXXKlCkGg8Fqtfbp04dhmPPnz3/++eey5S4LIBGBKAAIgnArO7e8tc3sQaQHbKJAINEmClaBtwo8gUQSUH1nx+mEJL1H1HvEdobTuT1aF9vh5tpdHpVHtDhJjgcHgqj40uSL9R0t9qqmznalPi+t8crlgqIMnV5FeDyky+lxOKDL4b6aU3kmoTwiuaGkWsuJwLjBRvKdNqQnwUDdBn0PuWv0oDTwKsPPJHdvkMmFCxeeffbZAQMG9OnTZ9myZQAQEhLywgsvPP/88/hNvn79eldXV//+/VeuXAk9kQbJyclPP/10dHT0J5980tXVxfP89u3bY2Ji7Hb7uHHjXnjhhR07dkgDbLZt2/biiy9ie+rUqVMvvvjiiBEjlEpldnb2qlWrAIAkycWLF1++fBl/V89sNmNfypEjR8aOHfvSSy+NHDkSALZu3dqnT58XX3zxk08+OXPmDLb1BEGIiYkZMGAA/h6TIAgRERFPP/30lStXFi9ejP998cUXX3vttba2ttzc3HXr1uEzzpo1C0+xAsDChQuvX7+Oe4DjuPnz56enp3/xxRf4kaiurh4yZEjfvn0vX74siuLcuXOxub148eLKysqGhgZsui5ZskStVufl5Q0ePHjAgAH9+/e32+2ZmZl/+MMfcF9RFHX9+vV+/fq9/PLLxcXFLS0t2EeEEJo9e7bFYsGX88EHH+C5RADYsmXLc889N336dBwfcvz4cW+vIoTMZvPcuXMHDhz4zDPPpKamvvPOO88+++zzzz+/ceNGABg+fPhf/vKXF154AWdg/uijj/A1IoTWrVv317/+FV/I3r17+/Tp069fv7lz5wLA5s2b+/Tpk5aWhi9/48aNffr0wc60/fv3X7hwASFUU1ODbec///nPU6ZMwc4f3ODy8vKnn356x44dADBv3rznn3/+008/xQ+DIAhqtfq5554bNGjQsGHDsCM+MjLyL3/5y8iRI/G/uJ6urq6hQ4d++umnoiiuX7/++eefxzfr1KlTf/zjH6dNm4YnbLds2fLHP/7RZrNlZWW99NJLL7/8cmJiIs/ziYmJ/fv3HzRoEB5iRkdHh4SE/PCCy+R+zwoSBcR7RAEAbmXn5lZUtZqsBjvbQdgxOklHu41ut9EdhL2ssfXC1RSLCDYAK4ANwAZAAhAABgAewCNAVZvl6rW6iBMFzaVEbn5Lfa2RJgXSTJXntl29XHE9rrK2pJO2oU6zOzqltFxp1VBcUmaxSmcWACgH6ElkoEBPdmcd6F6eepfkDn6f6cDy45HF0vKCJC2Xtzaf1UN3Sn4ijTiE29O133YjEEpPTw8LC9u+fTsmC7hDLKP31D71eOv3aYlPJKL3KGkxn3VMPhWCnw9XGs/nX7NPh/iX7PUn6eyfz8Ic6UIwbyTo0KFDsc8d35pXXnkF59DHU7XSmv1vjf+aI/H2VanSdWTS9Ds+8YXes0g9IT5Lt8AvHlHae/8wuEXaJz9yFK7TP25VDnW/dwUBAhAAAEF6xs2Iq8kRqWkxyelXr968ciUzMTHj6tWbV6/eTErKun4979KlKxFXk228gAmdAKAA6O6/iAdkIbmYa5XVSmtpjrL8plGrdERf1FRXGEUeWLtAG0VtgyM1pjT++3Kj3kk7QWNyNOvppPSqnOJmBy+6RDCRopEQMPRWQW8VDDbRSKC7IvdeWdu7R/q6+tC6f3kfb6b/+yMlBe/r589Z0pVB3sOTk5PXrVt36NAhHGbXa7N9GFZaoFfy/ZHEAHAHAvJZzOW/WrJXleMlFMxBd1qbKlUt0hb6XAvczvU+F4LbFhUV5fWeIYTOnz+PHUT+LYTbFY/Pdfkokjs9Ld5O9inf67IGr0itil4XZPk0WGpDIMlyB2/bRMk6KfB7IKUX6KOAZbnnBAHCCdwFsbCwuLyxqcVg1JqINjPZaiKaDdZmg7VJb2kx2lRWuqRZFX89zS6IDgAKIVIUSVGkRZEWRRc4BWCVHbaIlMpOh7tdZ4o9XWDUMmVFxqbGzpvX25IiNddj22pLNR6XszirJelyDuKhVWepVZFlTbaEG1VdNs4u0GaCM1gYk81jsDDtRrfO4Go3urssnru13KG3dUDQ24J41CMgeZOlnl/vgT5W5w9degdD1Z9t/XnTu1xeuhOLT5t/hCN83nb/ZSy9JifwV0XSbZ/VNz5Wqv8V9Wra+5yx11b5sLzPGl3/Aj6rmbxk1+sh/j3jQ+j+veo/yOi18b2uFcI7fTJi9lqJzxor/zb3aqrfaUN6lLyI6d4VESEABCBwfEVFldZscSBgEHAi8Ah4BJz4AzTthqT0TKeAXADOHrgAXAAIWASQX9aWdEtjYkUnI6TFN1Xkqd12sqZCmZnSknOrIjWp6NKp6sJsvdUkJJ2vbK7qNJjpxg5raav5XHxRXRvFAxjNbm0nqeuidV20tpNq73LqDK67JXfUW1pEqf3ldUr0ypg+nN7rHilrSD05Pi+zD4n46Az/s/uQkU8NPhrFx0iXXmyvxqDXlpReQq9aSjrM7zUPpZdS/avy7wR/e9zfa+HvSJF6t3zq8fexSAcTPv3m/Veqa31GD94G+PvBpNls/PtWelOklylVzNKRgb/t7x/rIm0b1hP+pon0dKIkdQTIci+LIGJyB16oLK/QmU0OEbEiuAGxAAwAC8ACeAA8AGqDPjUjwyHwDID7ByA3IFEEjwAZuerYtLaihnZNl6OmjL5yqVhgaMpqIq2Ozg5TdaU+OV516WxpU527PLMj90ajlWSzqxqvFXWciSsprlYJAhhMrjaVqVVtUulsuk5Hl8Wjtwp365aB3ggF+WXz8Hkt7+TXllKAj8HVq9vd3+byYUmp4pF6aaQUJuURnBnGW6ZXz7sPK/mcWlqyV2NfOnbxzhVLFRKSOAqkheH2BfE+tfkowl5Nb/82QG/3wmeII62h1w7xKdbrgf7lxduzxfmU97kQn2kJf+L2ufwf0aZw+x3xr0Ta7VK1J93jf+2y3FuCP4wKAIJYVVHZYbU4EXgEEEUQRRAExPMiz4vYltDrjem3clkRMO+7ARgAlwhuBBwPLgFu5KlPRmRHJufcyK1pbiFupTUZuowuJ4cA3Iynvq7jZnpL3OWqsnx9daEu/1ajtpOMupF3PqX28KWs0joliKA3OttUJpXO1q63d5pZEwkGApmou55Q9bGR7/RJCh828bE9fRiw17lZb4XSd97/FD5M5D8guNNr+SMjd//90iw03p/8aaVXd0eve+BHaRH8GNDHnAQ/mvYxMH1uh7/t32sL/ZvkX8C/h3u9Lp89Pj2MJIOGO12O/+H+4xX/GydtnvQeSU/tz93gp0J+yiMky70ieEIViYjjqyurzBTFArB8t7PFBeAGcAE4AFwAWqv1Zm6BBwEL4AZwInADuERgAEQQGIDU7NrM4noHgMUFZruzMK++tKRFQGBnraST0KiJW2ktiRdravK16VcaSooaDISz0US2OtjozLKSSp3IIr3RqdJZu0wuEymaSNFEgd72k6NlAp8sv/9NY8BMfWaZHX9cCgEAiP+oD2SRRRZZ/u+JiEBEIHKCp7q+jnTYPaLAA0IAIgJeQAiAF5AggojAYiWKiyoEHvC/CEAA4BAIAAAcC5Bb1Z54rbpZR2lsVJfVrmwwZMZXWgxtThfZ0SVUNXRk3qq8Gl+dFFMTcTbPbPLUtxpLG4m8ev3ZhKyy+g63CB1mrssqeOMgvaHuP2kRk0zussgiiyw+wotCUUmx3enAlN2rmM3mnJxbWB+IIOB5VgS8gDyCAAKAzmI7ful6Ya21tcOp7LCZCa4oqS0zoaixzJR/U5OT3pIW03YurOTs7hvlVY1Wgq9s6CptNSdmK0/HlnZZBU7w6G3iD8xOID2JcOS7TO6yyCKLLD9HEADC0QHirVs5JpNFEBDHix6Ph+d5juN4nvd4PIIgcByn1+tvZKRxgofnPRzHiiLP8W5BZFnGIYoASHB5hItJRRHXqts6XVVNnVVttJnwlJe0Xjhy/fvdmZfD8o5uSYoIz2yrM3dY2OxCbWmToVjZcS6lJC6jmgdwuxzSlAMyucsiiyyy/LMidvM7TdqjI2OiI2PiY68kxifFxV6Jj7saF3slLvZKbExiQnxSQnzShfMR3313/OqVtNiYpNiYpITYlNioq/ExyQmxKXExiQV5+V16S2WrOTwyM72oNeZ6aeSNmuoOQwfh1Ovt7c10ZXZnl9Zpc3JtBldRheFSUnlkZlVkVvXBCynNOj0vCozrNmbH5G6gwEjL5C6LLLLI8rMEAYgg8shqthXkFSZdSY6NToiNToiOuhIVmYgRGZEQGZEQE301MiIhJio1LuZ65OWkyMtJ0ZeToy4lRV68GhOREnMhPin5en1rs9VuT8+pP3g2+0RMvs4uaPXO0mp9jcZc0tqZ32CqabcWNbYV15lUerLeSB+MLdx58mZadgMSwGEHG9XN6V5gcpctd1lkkUWWny04votxsSKPPAznYTjW7XE5BaeDdzp4vGGnPXjb7eIo0ul0sC6nx+nwMG7B6fDYHSzrYAxmh5VmAES7i0vKagyPyiltbG9qocrr9OUtpiu5zedTq2v1tur2zpxyY0Vj1/Vi5YFLBZHXq2k3J/JA09BpQ1KHu9ctoyeRTO6yyCKLLD9DeFHAwbDdQbFiT9z77UAiIOzAAVEUOAARIcQJPA9IAPAAcALj4YFlwOPhBeDsnJhV1Bx+MTU8quRKTl1hY9eNAtX5K0UtFjK3UROVrj10MSf8Yk5GTpOd4TkQCBevt4lG2jfTrxwtI4ssssjyzwiOgxQQ/wMH4ihIELuBhB+2QexZ8gQIgAdgRJEBcAqI5kWWAZ4FN+fxIA4QCAh0Nj4ypzY8seq7iKrDMeX7L+aeTqw6FllwMib/cnZNm8EBgggCEE7odEEnzRj98rl3O9x/os896ImKB4OtQbMs6SVOELvJHQGHeuI9ZciQIUNGrwDgAfie6HjgATgEHhFYRnC7OJfT43SwFOm0We0U6WLcAgNAulGrliir7Squai+t0TXrzCaHSxTATjMmva1dY1QpO1XKTo3GpGm36DTmjg6yy+TssrFdpKfLxumtnMnKd5mRVg9aAyiNSGUClR40BkSyEJ3PK14mA/7rRsAvwxSK35bc/6YxcJbhVqULEIjAIQCA3jPxyiKLLLLI8oP0rGgWEXhEYDhwsMjOiE4HT9hcXR2EsrWrvlZVUdZYUdZYVdHc3tRAdeqdJpK1unnS4yHcDqPV1tHe2qStrmguKawpzKsszK0uKaqvqmqrq9U21bU3N3W1qqxtOlLZ4dB0udq73J1dHr2J1XZ5dAZRY/RoDIK6C3R6D+kWInO4wFftAf91Q/HwN4qgp0oemmxQTNdlVdqRyMvkLossssjyU+V2twwrglMAOye6XCJNeywWR1cXqdWalUp9S0tHY6O2uapeVdfWVq9sqW1trWtTNarb6pX1FfXVVU2VZfXVFc31NcqGWlVDnbaxsb2+sV2tNGvUVk0HqemiNQanzuDqNLB6g8dgFNs7oF0PWj3SGkDTCbouRDkhMgcFvuJUPJMW8PguReCTpQ9NtShmtN+qcoCI8OACCSJCggwZMmTI+BEA4gBx2I/NgcCA6ALBCTzrERlWwGA9yM0IThdH2xmLXTAQrIFwG0nGSDJ6ktUTnk4rY7I6jEbKbLbbbC6r1W2yukw21kCwZsJjJjwGymOgPHqKM5CcgeSMBGc0IV0X6PSgMSCtATRdoOtCpAuickDxslPx9HXFL3cqFL8tvf8tq2JGZ1aFEwmiVBfJIossssjyo4JnVrHljjwAbkAuQB4OMazIsCLrQayne9vDgUsAwsWTDGfnRJLhbG6eYBDlAdIFVjuy0SJhR2YKmUjRbAezA0w0MtCinkSdVDe6oyGtglYvaI1im9GjNAlKPWgMHMEIUbmgeNkZ9OeMgMd3KYKeqgucaFHM0N+soHGedlG4YwCQDBkyZMjwB55RxR/x8CDgPOBhgWV6NtzgYUDggGKAcIk0i2gWkW6B8gDNAc0B4QSrHQgaKAdYaTBRYCDBQILJ3hMe0wOTHUx2MNqg3Qg6I6hNoDaD2gBaI5AsxBYgxSBK8adrikd3KRRPVAS+aXrwPUtGmRW6U1eKANxt4T4yZMiQIeOnAUGvX+sFhLozvzM4b7DYnSjYBcBw4HLzThfncokOB085BMopEq5uUC6edHJeUC6eJASTGektqNPCd1lRpxkMZt7lESLzXA8OcyuexnHuT1XeN9momK3b+31GRkbi1eTLySlxqcmRySkRMmTIkCHjR3A1NSIpJSI5NbIbKRHJKRFJyZevJl1KTolISY1MSr6clHw5JSUqJSUqKSki+drlxKTzV5MjEpMiryRHXUmJSEi6eDU1IiUl6sqViCtXIpKSoq5ejU68EpWYFJ1wNSouKSoxKToxKfpKUiRGYlJkYlJkUvLl+ISI2CvR0VcvxSZHxSRGxyZcvHHz0rYz5YGvkoHPpise3aMI/F3FfcEmxdvG+Ft1HpfSpG8wGRv1hgajDBkyZMj4HwmTsd5sbNEbmgymOoOp3mxsMRvrGKYhMbdDMYgJ/K9risd2KwKeKL8v2BQwy5yU3wxCh4PSOOxa2q6lKfXPgp3W9IqfW48MGTJk3Gu4E3/emVeVDrqdpLSUXUnZVXZK56CVAKrkQoPiVU83uQf+ruL+t8yBsy0pBS0gdNCEiiJVBKmiZMiQIUPG/0iQRCtNam2EmqDaCKqNInQ02SqKbanFJsVgrofcf1t+X7BJSu4EqbIRyn+7KpMhQ4YMGb2CIttosp0gNQTVRpAqmmyniTaElClFRsUrbMAzqYpfhvmSu51Uk5SaoNX/dtUkQ4YMGTJ6BUm0UoSu23InVRSho2ytoqBKLjQoBjEBz6QqHt+DE4eZg2ZZkvObgW8nCaWNUFqItp+vSXpvxL9dxcmQIUPG/3DckccJTe8gVXaqgyA1JK0kKTVNtttJJRLVqcUmxauebsv9/icqHgw23zfb2u2WodQE/c9Y7iSh7BX/dhUnQ4YMGf/DcSf+JG3q3kEoabLdRmi9ljtNtImCCpN74H9d6yb3ByaZgmZZUgpakNBBkSobpbKSMinLkCFDxr8bd7bcpeTe7XMX1cmFBsUrrITcgw2Bsy3JhU2Y3AlSRZAailQRtjaHXWunNTaLkqS0VpuKonUkoXQ6dBZTK01q7ZSOJrU2i5ImtRZrK0VrbITa6eoiSA1Fa6xEi41spYh2mtQSthaHHWsbLWFroekWovtEKoJUUbTGamsjKTVJd0/k2qyt+K+d1tisrQ671mpT0fZ2G6EmSBVJqUlKbba00Hbtv7/3ZciQIeO/FyShJKl2gtSRtJIgVQSpo8g2JKpvm1C9E7nbaQ1pU9ssStKmpu3trMckiDYboaZIldXS4nToaEpNEkrMvDZrK2ZehjW2tlW4GZOHM5OUmiBVpE1LERqSaCUJJWFVOehOklAybp3LrTdb2nDNJnOr3dFBUmpbjxvHTmtIQmmnNRSpcti1FnMzReuwdiFIDUFqrDYVbddabW3/9l6WIUOGjP9m3BW5k4QSG+YUoeF4W2HRjeycZI632QglbdfSdq2NUNodOou1lbZrKVpDUu20vRPAOWTIi7m51zIyExzOTtreTtEdVlsbZVeRlNrpMhBEu9NlaG0rqa0tZBiL1apNTolgWLON0NoIrdNloGidjVA7nJ0kpaXt7RarkiA1TlcXbW/HP5GUliA1+K9N9unLkCHj3sNdkTtFaEibmrCqSKodwNm379O//vVDAG6OIziOAHAKAoWQ3c2YON4G4ABwIOQEcL322kspKTE7dnzpcplERAE4AGinq4NhjQBuQXACuHeHhX700TwAt1JZu3HjCrvdCODEdTpdBkEkRUThalmPhaI7eIEAsAPYWY/Fw5kRkDZCTZAaebGVDBky7kHcFbnTpNZiVZJUO0L28PD9y5YtWbXqsz1hOwTefezogbdnTJ42ddK+vbsA2KNH902f/ubUqeMOH/4WIfewoa/k5qaHhx8AcB07tic4+I2Pls7lBWts3Nnx40d8tOQDnnfExHz/6KP3f/DBnIKCm3v37gBgT58+9OabIz/+eAFCzoKCjKlTx82e/dYXXyymKD2A++jRb6dMGf3hh+8COMJPfJt6LYL1mGh7O0nJPncZMmTcc7g7twylpWgdQeoAnJMnj8m+la436EaMHAogjhs7esXyL64kxn726UcXL5yZ/NaETaEhcfGXP/v74ti4iAkTR8fFR44cNSQu4eKSpfMuXzoXFXUWIXt+fvrZM+H794WtD1n1/ffHRox8LTLqQk1t6bDXByUlxy5eMj8hMXJ32LYvv1y9Y8em8eNHXLuWsHPnlg0bVl66dPq992ZGR59LSooAcMxfMH3HN+sBaJLSypa7DBky7kHcFbnbCLWNUHO8jefpoUMHnj13Ijn56oAB/XjOPW1qcE52JgB3+NC+9etXzJgxqba2FIDdHbZt+9ebJ0+ZeOVq7ISJo3bu3vzNrk0AoigwTqd58+Z1r74y4JVBAwYP7n/mzOGPP/kQgNO1K18f/sq+/TtXr/kcgO3sUo0bO3LXzm1bt2xEIltXW/FW8Pgjh/f/51O/yci4ajJpELJ3dbXYCK3LrTeaWnBUjwwZMmTcU7grcidIDUXrBJHcuXPTo489NOz1wcOHD3viiSe2bN7wzuzphYVZAOzx4/vWrPns7bcn1NcXi8h96PC3m7dsCH5rfEpq4oSJo3bsDP36my8BAQB/6NCeee+9g0SP00GOHj30xIl9n362BIBr72gbOWrIvv07vwxdA8BqdS1jx4zYtXPb+pBVSGSrKkuGvz4YgAPkWbJk/p/+9Buep8vLs1Xqatre7nR14egdGTJkyLincJfkriJIDQC9avVHW7asBWAB2O/PnVz2xSeLFs57e8bkrVs2fvD+365fuzp71rS5c2Zu2bzh/QVzs26mjR0z4uKFM8NfH5yfl7Vg/pyQdSv3hO0oKsyZ9947WzZvWLXy8wH9+5SXFc6fP3vFik+Ki7OHDBmQl5cxf/7s0NA1y5Yt/e67bzZvXrNixVIAd17ejdGjh5SU3Pryy5UrV/x9+fKPAdgFC2bt+GY9APW/fUL1Hyw7liFDhow74C7dMkoct34z60phYTrLWj0esra2uKKiYObMt955Z+qmTWtjYi4AsOPHj1i4cO6mTatjYr4HcF+6dLK+vjQq6izLElevRq5d+/evv96IkDM3N23Nms9CQ1edO3cUIef16/ErV35cU1N04UI4gPvatbh16z7fvXsLQvaCghsZGYkcR3R0NEVFnc7OTlm58qNduzY7HCYAR0LChbLyLLxU6n/1IiaZ3GXIkPHP4e5CIWkd9rwzrJFhjTZCS9EdDGsGcI4ZMzg7OwUhO0J2UaRHjRpUWpqFgBZE0uHUc7yNYc0ezup0GTycFQGNgHa5jazHgoAWESUiyuHU43hHvEHbOwWR5HgbgN3pMrgZE8OaCVLHsGbWY2FYM4CDFwiGNRtNbbxgdTMGHAVvtsiLmGTIkHHP4a7I3WJVUrQOx8x05wag1DZC6eHMGm23y9tsaWNYo0ZbbXd02B0deMGR1datG6w2VU/IjYaktHjZEWZkG6HG61dx4gGCVFltbXaHzkYocSV4yRJuA21vJ0iNd8GUd74XV/5v72UZMmTI+G/G3aUfcHRgbrURym5mJ1tJWmm1tbncnTZCiRnf7tBRNPbhKC3WVrwH55nBlO3dICk1RWss1lZM4laihaDaKLuKoNrsTo2VaLESLZRdhVfAmi0tmPpJSo2rxeVxS0hKjVMRyBOqMmTIuAdxt5Y7SWntjg6TuRkTNLbcSUpttbVZbW1OV4fV1ma2tHhtcFwAZybAGcFw+hdMx7gezNS4HvwrLuxVIdI8Ytiox6em7Vrpsdhy/1+0iEn2sMuQIeP/F+5yEZO6B1qHsxOTqd3R4aDbnfYOnBLSQbe7HJ0Out1O6bATHBMubW/HfhXsn3E4O+2ODhuhtjs6upeV0jqckYaiNQ5nO1YD+HQUrbM7OvCB2CeDj8XVSurR4gN/7odl/+34qUn6ZciQIeMOuFtyxzY1bW+32lR2Rwdt7ySpdpxNzGnvIG3qblq3qZ32bta2Ozq8LI8pHjM11hCYsnvIvZvlcQH8Fx/S7UyndV4N4XB22h1dFN1htalweDt2vtN2reN/Ffy5/t/+lMiQIeN/HX4SuQc8UR40yRgwy5xc0IJ6PpBNkCqKqqcptdvTmVNevefgxc+Ppxw6Ebfu+JWdxyP3n4tcfSh23/eR649e3Xnm4p7w818ezNhz9tzXB+O2HMs8HH529ZEb+89c2HL0+pcnEvaeiF5zLO7rU5c3nozfFn59//HT649kbT93MexIxLrwhP2no5efyN93NGb3yaiQQ+n7z3wfcuTa9pPXvj0Ws/lwzIGTp1ecidtzLOLb8NjQQxn7T0atORazM/zK0fDYVYcTD586u/70ta+OR+87G7H66NW9Jy9vPHV9x7GY3eGXVx3P2nPm/LajV7YeTvvu7KmQQzm7Tlxpc40AACAASURBVF3YcSLuy4Ppe0/HrjmSevjkhS3hyZuOJh8+cXntkYw9J+J2H49Zeyzz8KmI0CNJW0+kfBd+bs2xa/vOxIUeyvg6PHbXqQshh3L2nzm59XDa9mNXw05/v+FQ8qGTkevCs745FrXnVPyqozcOnjy/6XhS6PHEgyfPrT6WFnYyZld41Opj6YdPRWw8krTn+PffnEjZeCzlu9OX1p6I/u7EqXl7cxrVNYy7naaUFKmiCE1PtksV0X3/WklaSdEagmh3Oo0k1W4jlCSltViVDmc7nl62WFtph5qg2kgbHge00ZQSZ8+3WZROe4cgkrS9nbZrLbZmklbayFbarrURapJssFM6QHaKVDkdaorQUISOptQUrbGRrTayxUa2klQ7y1p5geB4C0VocIpQ/CEY7zbll5+5ew+lxvMruIXeKRYH3Wk1tznsWsLWQthaaEpJU2rCqsK2AmFVEVYVRWjslE7gbAAOp0NH9XynBmeZxj3z/9h77/Cojmxf1HPmnnveuXPumTvpzNgekwwC5Va3hAAbDNhgDDhhsAEThVJHBQRIIAkwGQwGk8EGjMk5GTBBSB3UanUrIZQ7K3XaucPuner9UaKtsc28mWN7wn309/v6q1171ara0u7fXnvVqlVwur4vrTRuhTlKUcyC4128gOKEjSDtHm8HhtsJyur2NuKoLdIWxzrgmHHURpF2DDVjaDusxzELiTtw1IH42oMBO+JrJzFXgPSiSAdJ9A0M9VkIzI4hVhJ34KgN9dlw1AG9iPB9FHoOI9NLcLYJ/uNgZux/6hDep/hHwA8id4y0+L1dwI9UNDblr97wvuxsztL8eUs/l67Yk52/bWHel0uXbZ2Xuzc9f79y9boZqiPKNcWLcnbOy92bX7J6eu6xglXbs1Ublyzdk1dc+qHqVE5J6ZKlHy9Wfp63Zt1s+cmclaXpBXs/XP7F0hWFHygOK5dtzly1Y17BgZWrls/JPZFdsEaxYvvsvENFRWvfLziUsXxj7vKP31+6O69k1ZLcQ/NXbFYUbV2ce3D5ilWz8g5mLttXVFj6fu6XJcu2f5j7eXbunvzC9e/lH5MXfZResCMtf0/OytK5eYeyVq7NKNyyIH+vYuWG2XkH84pWLS74dNHS3XmFpXPzj8hWbJYu3zQ3/0huUemCpZ+mrdijXFE4J/+QctXGBfl701dszlq5dm7eIVVRyeK83ekFO2SFa+fl7sotWjOn4GhWwXp54eYPlh5WFa5ctOzThUv35BSu/iD/qGzFVumybR/kHc8tXDc/90De8o+lyzfNVx1SriqekX9y8dIt0wsr2mxNTyJ3inBSpN2HtoVoFwB+mkYBoMKMBwYdwdQLMDCJYb1hxkNgdp+3jSQsPm8LZEyO8QJAXbh4tLOrGSccKGYhKCuKWfpoEWsJhzynTxzGULPP2+InOzkGCYdcbk87gpoRrN3ra2dYpKfHXFSk/PrOOY51o0gHvKtQpANFOiDbwt1UIvecq7cJ8jukXbenNRDs4nhviO7xIR0M62ZoL4nDGKeOYMDh9bTCLVwwxOrzdASoLrj3CwDk1ctfrikpiDxFCNyKIh0EbqVIO4p0UAE7grXD6RmccABAwcSiAFAXLx3r6m6ELj6vz+r1tVMBG3w4wTHDhwSGWANUF8d42bAH8bVHtoTse8BgFq+nKUz38AwFAB0OuTC0HfGa4Rgilwz3k8EezxshqNmHWOD/JUS7eAFlWDeGW70+s9dnjjgYsafuuKf4YfhB5O6hrBRuE2jrnSZrwYbVEtW5oaq2YYu0w5Y8jMowPZveETWv/DllzRBp0/CMqiHSxpj0+mGK5mHZbZKs+89ntURn1cZK64dnm0QZuoGZtUNktS8q66OW1I7I0kbJaoZlNcVkmQdk6ZJlN+KlbbHpxmGLG55fYhBlmV6UVSZl14zIbHxe1piwqHGovHGEzBiX0TxIVhOjqIlL7xgmq4vKMg7LaIjPMsbLzS/I64dm1wzOrI1VVEdJyxOyKhKyTQNk6lipaURmU1RGW6K0ZlBmc4zMODy7fmhmS5ysbkhmU0K2cXhWY1Tmo4Ss2hcz22KzH8ZkNQzNao/Prn0xozFK+iguu3pIZlOcrG5oZsvw7PoYmXFQZnNCtmlYemt0VnNMtnFYelNCVv3QrPYRGXVx0sYXM1vis4zDsxqjsuoSpPohmY2xUlNMds2QzKZEqWlYRkOMoiZKVhOdbpJkPxyeWZc0v2p8odrc2/IkcidxB+JrZ1i3qebBnDlvz5s3MzNznttjDoZ6EdRK+Xsof48/0AuAf+/eLUbjA473QhuW8jsDwZ5gyH3r1vkLF45PmJBy6/Y5OuwN0S44XYGgVpzoZLheAIIxMUMq9bcAQCl/z9atazTamxyHk1RnMNQdDPW6XNbMzAWzZ7918dKxMOMKBLv8gU4Us5CUo99MiT0Q7IFbr1D+Ln+gGyccsExSnSHaheHOtR8VEEQ3AP5PP9145+7FYMhNUp0k5YAT44FgD4rZQrQHxWxuTztOdAJAnjx5eM6cd/Ny5XBHF3+gG144TPXsD3SjeDuCtfuQjhDtCoeR4uL8996b9u47027cODdhYvKdu+cBwEmqOxBwE6TT5WkiyC7K3+MPdEMWxgkHy6E40blypaq1zRgM9RKkkw73+pAOFLMFQ73BUC/pt9ns9bNnvzNz5vR79y9yvDcYcvsDfSMPhro93jYENfsDnTDiIBjqhp5JnOgMBNxmc/0HH0y7X3ZJABh0V8LxE6TT2+9x+BRP8d/ADyJ3F2bxkS7AWHQ17Yriz1NldwfNq41X1AzLuhubqZbk6C5WUXGZt5OyKlJlOonqUUp2U5LqQaK0OiW7QpRviFVqE3IrY+W61Ow6Ufrtl5Ta4Rl3UlQPJMqGlKwqidQQq9IlKKslirvx8vLBmRUJMnWs1DQgq1KkuivKNiTITLFLH4hzHiQqb8anVyXkGJNUhoTsxiRpebLqYbxSF5+njpUZEjLvD8u4n7y4Kj6raqhKn6KsFmdXx8vrxTJjkqxCJNcnSPUSRWW8XJ2kqkiUaxIVepFclyivEMn1iXJNolwDCyK5PlFWmajUJsoqE2RqkUKbKKtMUFSI5LpEhT5Bpk5SVcTL1WK5LkGqF8n1SbIKkVQjlhlECm2StFIirxIp1KJsnViuTZJpxTJDolwjlhnEMkOiTCuWGUXZuiiFNjZHLZZqEmWVsXLdiEU1b5Y86HI2PoncUZ8NQ6wAEPv2bZVIYk+eOLpp0+qsrA8R1M4LOEX1BgJuknTxfGDatFdPfHmEF1A67Ia0jqJOQSANhgd1dfrJk1++f/8qAH4M66T8PXTYS5BdoZCXIJ0CT49KlTxs1AWCXQyDnj37xcOHleEwRtM+guwKhxGLpUmUGAMALQikAAgUc/gDvYGgixfwnt42Oux1e8wMiwRDbpzoZFgEJzpJqpukukO0B5ZxvCscRqKi/uhwtAFAnz//ZU1NBQB+H2ILBF2BoIvlUMrfIwACx7vosNcf6MVwJ8tiaWlzD+zfDQAPABmiPSTVjaB2AMhAwE1RvV6vjaCslN9JkM5g0LN69TKVKvPo0f37939iNj967bVRhup7HI8hiIMkXWHG5w9007QPx7sQ1B6iPfBaAgG33+/67LM9Pp8zHEYIsgvFbHDHMZxwoKiT5TwIav3ii4Pjx48qXZ0HAIEgnf5AL0F2AUD2utoDwZ5gqBfOGMEc1MGQm/L34HgXAMEbNy787GfPrFlTAABFkF1w4srjbYMs/3dnh6f4p8YPInca7UaRDgq06OsaNm0tGr3guHS7t8Xrb/NwTSgl22Jqd4aGpd2Nya6LXqQburgsXqYTZ+kSl1S+mFYRtfDrGGl1XOadhHnG3y+ofGfdw2Naf3zWwyHpuv9KvyzOVouzNAnpVUOXaF/Mqh48p2rVUTeGsQGSn1FojE3Txy24H5tWOTyjOl5VFju3MiW3drjiTly6bmSmKTmrPHqRbkja19HpJkmu8bm5ZXuvY0AA4wpMorS7YqUxPssYn6dNlhpEcl2yUi+W6UXKKomyIkmpESm0YlWlSKGVKCpFCrVIrhPJdSKFWiKvSlLqRAptssKQKK8Qy3VQQKKojDRJUmrEinKRskos0ycr9aI+GW2yvEos10oUuhSFPlFeIVFUimV6WC9RVEoUlcmyapFcJ5FXiWXGlJyKUdmmBOX9WJVuQJbujbX32jvrn2y5d+KojWG9e/dukcsyAGB5LvTxxx9lZMzhOHzx4g/i4obMnz8LACYrc/H/+vd/nTAxmeOxQ4d2DBz4uwkTUhsaDNeundu+fcPUqeOrq8tv3rwgFo8QiaK++GI/y2Jffrk/OvqFuNjhP/+XZ8zmeoZ1A+BftGj2tWtnooYNiokZNHjw7/bs2UqHyP/4xf987rlfHzq0s7vbMm7cyMGDn83KWghAaNGi2Zs2rV61aunHH3/0H//xLy+9lHT48K7Bg3+fm5sZCHg7O9teflkUFzdow4ZVAASjogY89+xvS4pXLF+W9+DBdbX6pkQSPXDg77ZtWx0OI/Hxg4e8+LsXX3x2164NgaCL8vcA4F+2TPnv/8//GDNqNEn27Ny5ftCg38bHD9br75eX35w3b0Z29oKvbp6haR8AwZKSpVLpQobBAfDzAg6E8NixEqPxwcOHlXFxQxMThx89upcOe0+ePCwWj3juuf80Gh+Ul98YMybhD3/4zzNnjsz+YIbH4zx0aOfQoX8YMPBX7R01166fFEuGPffc/7l85Rgv4ACENm5YU1ySwwv4pElj4+KGFhXlCUJwwoTRDkeLIPjl8sW7dm1CMUdqamxc3KD161eyLNHe/nDy5HG9PY5582aeO3eM5VC4GBAn4A6Rzr87OzzFPzV+mM/d14Z72hkO0zaZP1QdXPqx7pQGm1x4X5RVMVKlGy2ts3YHouZVvVqozfmsMXOnadCSO88t1E9dU519sHHZ3vqBc+5PLFTn7H0kP9KUlFWRvrPlP9+6N2t1g/xg04JPHj2/WDNpRa1y3yPVXlNiunaQQp2YdcfU7Xuj1BSv1C092Jq135GiqIxLU6dttgxKN0Snqxdu0UgyH4xdYZTvb03fb5Jk176wQC1SqM+VY54Am3e4JWpJWYysIjHXNEJpksh0CfKqJEW1WGaIUVQnS/XxCgOsiZcaEhX6BFl1grwqUWFIkFUnKvSJCkOCvEqsNMRLDSK5IVFWlSCrFsn1CbJqkdyQIK+Kk1dJsitjlUaxzABrRHJDorRaJNeLZMZEaXWSoio+q0okNyTKNYmySpFCmyjTwodHoqwySalLVOjEMoNEahBJH4lUmqGLHr5TfNfpMD+J3BGvmSKcABA7d65fuGAOAKzA0xrN1+/Nmrpl25p582fd/vrq/AXvK1XZGZmLjh47RBDdguBvbq49ceKzT3ZsefPNSZ98smnVqqXvvPvGxUunXh6beubslydOHh0+YtCJU4dfmTCSJF0CzybExz5q0ocZFwDUqxPHXrx4Mi5+OEl5GQ6bMvWV02eOS5ITELRHAIE3prx6+9Y1ngsVrsj/dNfHb0x5ddzYUQTuXbEip7R0uctlHzduJEV5s7MX7dixEQD6xKnDFy+dmjBxzKXLpyXJCRZrKwDMgoVzDx/e9corKU5nOwChd96Zcv78F7GxA0myh2ODkyaNvXr1JMxXkZY2e+uW9SxD37x5YerU8RxHdnWZX3vt5StXzvzsmWc+/2x/iPYEAm6GwTMzF3zyySYA/AhqJ0inAMJjXpJUVT8IhHxfnjhy8tQXqaPEFy+fGDjg2QcPbgEQJIjeF174zblzxwCgBZ5OliRcu3ZuwoRUiuqlqN6Ojrrnn//VvXvXAKDhuwgAzKqVy4qKlABQ586euHzp3JTXX/38swMLF8w9c/o4hrpnzXrzs8/2AECfPHXk4qVTL49NOXvuuA/pFkviAWBmfzDj4sWTgkAiqPXxehG7D/n7s8NT/FPjB5E7SllCZFOId9ytNa0q2OjAmt8sqRs2p2yEXDsos0y83NDY5f/NzHvyo22Xq0M31a7cA9aXCwwn9Z2XTcGzanbisqov1N7zJuyWzifb13i/g3p7WVm5llA3Yl9ofa8tq7hS5rhiZM7Vul4taBicVflfH6or28kpq+teLWq4Yeq5oEO3XKxZsKVW3xl+7m1NzMzbzV4wvqhx+tq62zW+m0bXtvPWgfO126+4jtyz/nba5eYeEFeojVl8NyW3PDFDN0ZZJZFXpciqUqVV8Sr1S5m1YpleItOnSqskWdUShWakrF4i0yXLdSnSOrGifKTcmCw1pORoRmbVpigqxVJtanadRKFJzjaOzNYny6vEMv2YjJqEHE2qtCpZqpfIq75pK6uRZFVLlBWSrJpkeaVEakjJbhLLdSnSupGyerFcl5z1MEVuTJSakrL0CYoKsVybqLoflVE5tfhuR0/zn5lQdbuaAcD27NmcljZX4MMCT9++fWn2nHeXLVclJA5/d8bU6W9O+urmpfkL3r9y9SwAoUeNtQsXzH3rzTemTZ0sToo7efJwQYHsvZnTb92+9uxzv5v1/ruz3n/3/Q/eNZq0KalxAIQA4CViUX2DJsy4BIGcPHnchQsnJMkJvBAUADXxtdFXrp4XJcUCQAPgT5YkNDfVA8Bs3LBm86aP3nl7al2tAQBGpczesH41AExszDAghPNy5fv27vz8s/2z3n9n9pz3fv2b/339xqVRoyXBEAEA8+6M6adPfz5yZALPhQSefm/Gm2fOHEtKGg4ABQA7/pUx9+5dgamEFi2auW/fDgDYK1dOvfHGBEEICkJQnBR35fK5d96eBgBLUg4MtwNApafPW7++GIAgjneFaA8A7Ogx4sqq+2vWFr39zrTZs9//z1/+r5raygXzZ6cvWbBt27reXltubvb8+bM2bljT020fMzr50qVTr702BoAgx5EI0j1//qwlafM3bVxrsTRwHC7w9OrSovXrC8+f/2L2B+998P6MPz7/+yOfHwzT1MgU0fbtG+bMeRcAesvWDbPnzJwzd9Zvf/fL6zcu7d2389e/+cWWrR9FDXtxzuz3EMQRol1eX3tkCd7fnR2e4p8aP4jcCZfDjzqDbNe9pvZleWscPTZJfl1cZvVohU6UpX4pz2jvDP7uXc28HS0XasxlJqyqFdv+pQUJ8qOUd38+8fqCPY8olp9VaPr3cWWjinXqOtvBO8jq085/f7viVx9cLvm8J0Dzk3PV/3vq/UGLdcmq24Nn32+xhCYuN7ySr7ugdV0v93VxwrTCmjMPbEv2NamOtp3+2jJgftnbqx5d0rqvlHd5aPDC7GtbTlv2fdX1s+lX26xczGJd7JJysfL+WFlDjKI8XqUWy7USmW5E7p3UrJo4hSZRqZXIdAkydZxSn6zQxMs0iQpdskITq9QmKTVJsooEVaVErhYpK+Ok6mSFJk5RmSTTiKXaRKU2TqEZmWmKzrsrkemSZJp4lTpeqRXL1TEKjVhVmSBTxyq1Iml5vFIXK1dLlBUxCrVIoU5SamIU6iT5g4QcjURZkSrTxKvKU7KqRFlGUUbdW6setPfW/JlQSAK38oLv090bsrMXAcD09FjT0+feufvVnLkzT53+AgDaamu5fOXMjJlvXLj0JRCY3Z/umPfhHJ5jWCY4epTk6NG9RUXKd96ddubsl6PHpADAA8Af//LItesXU0YmABACApcsSaxv0LB8H7lfvHgyITGaF4IA+F+ZMPLylTNiSTzL+QVAJSfHmUxaAOjS0uUbNpSMGzfSbH4EQEipyFr3UYnA03GxUQAwclnGtq0bUpIT3Z5uAJis7LT9Bz4dNVqCoD0A0HPmzjh8eFdKSjwdIgFgp02ddPr00cTEYQyDAsCPGzvq9u1LAsAAwNOWzNq9ewsAzOnTRydNGgsAHaYpiTj+6JFDs2a+w3MMRrQhWDsvoLduXZwz5926Oj0AtCD4BcBMfHXskaP7xZJ4AFhB4F4Z/1JzSwMQmMaHNb/+1X9cu3YOALq7yzZwwLP79u4aOzbl3Lnjr7ySAkCQZSmeDwAh3N7W9Pv/+vWxY3t4ngCA+WhtcWGh6uWXxe1tLQAwRYVLN25YA/8Uc+e+o9F8zXH4iBFRKOoTBC4zK+2L458lJA4vXb1iVXHB9o+3DnjhD01NRsrfBddve33t/0Qrq5/iHxM/aBGTm3RQPifNOHW1LbNX7aq2+GZtbf31nIr4jMrh6RVjsqsaLUHFJw2XjeTsTTWqYw0Pbd0xGRVLPmm/qkerH4ZiFdVztzRcuuN/ZGEWbzY+aPRtu4pvOvXwj++rn0urEuVWZ+1oOKPrbrJ5xVJt9CL9796/U29Bsj6uL6vGF+16NHdNQ7cvGCPTZn/WdKO2W9uIz1/dPKrEqG1DZ29sWLK9rdXjf/2jehIXXEHQ6vSygL1p6I1aUjY4p0KkqkiSaZOV+qRsk0RWJ8m5nZTZnCivSFLqErINEpk+WmVIzdbFKwzxCkNqti5aZZDI9MnyqmiVMVVWGSevilfqR8n1I5RVKQp9UrZJLFdLlA9EmY3JOXcTs+tEspokpSZWrhstq4xRVkpk2hRFZYyycpRME6/UxSt1qdnaWJVeItNKZNpYlT41Wxuv1KVI7ycq70iUFfFKvVhVH7tY9/bKMqe9IRR0wvDqCLlHkjfghIMX0KPHPv35z59JSopOTU08eeIoAExdrWHGu9PjYqNenTi2Sq+ur6t+deLYSa+94up15uXKRYkxMdFDY6KHHjq4Jz9P8eabk3S6+wcO7ExNTYyLG7pq1dKuLvP27RvESXESSey//dsz9Q0aXsAFgZw27dWDB3anpEQHAm4A/BMnjjx6dPfIkTHhMMLzxO3bl155JSUubsjixR+43bbx40fqdHcFwS+TLVi5UhUKeePiBvE8IZXO37Nn89dfXxw3dtTIFNG//OyZK5fP3b3zVdSwQZs2rl24YM75819cuHB81KiEmJhBRUU5XV3t8fEvEkQvANT48cnnzx8FgBIEcv78d7dvX8vzBIJ0LlsmF4miJJLoq1dPnz179J13JguCnyCdCGonyC6GQSsqvn5l3Oj4uOHDo4YcPrx7ypTxlZVlBw/uSkmJT06O+7d/e+bmzUsvvyweOTKusFDldttef31scnKMQpFGEL0jRya0tTWsX1+ckBAlEo24fv38hAmjk5Pjli1TejzOqVMnxsUN/fDD9+z21tu3r0yYMHpkiujn//LMrl1bBCGo0Xw9dmwSzxOCQJ45c2zMGHFqauK//uszx48fGjNGTNM4ACEA6NTUxKqqMpr2+ZBv/r846ngKHHWghN2LWlDCjuDwnreheEffL+J7QUADqO8bBiBhuB3FHD8pMMSOIfa/+58rgh+2QtVrp9B2EHaUP7IUl+Qot567qrZLt3dMKm6ZuU4/pqCyvtOf+0XHBS2eItcs2dTU0Bkakn43dUWt8lCjzuEbnfPVqwXl6Tsb9J1E7k7jvXrvR2fcn39tfXN12dQVppTsiklLG5S7G9Td4NWV1dNWPnprtfFeI5W1v63SDCbmVyar1GY391qhaeD88pNqzxdfu1+Yf2vi+tr6Vm70csPY3Aqrxas40FbbTiapjBOVxtkf1TY7uSHz9AkKzbh0Q5K8FkatiGUGsaJcLK1JkmkSZVqRXJ8k04hUGrFUK1JoRQqtWKoVqTRJMo04SyNSqJOzNEkyjViuTsnWJsorJFKNRF4Na5Kk1RKFJinbBGtEcp1EphepdEkyrViuE6l0Yqk2SalLUurE0kqRSieW6x7XVyYpdSLpI4msTpxVl5RliFXdH55WOfmjsuZu+5PIHQZHk1SnP9D78GFle3vto0fVLEtgWCfDoK2tpqYmQ1tbDcfhPE+0tppqa9WCQLrdltpadXNztc3W6PFYu7vbzJY6GL5SU1teW1eBoHYBEDjRaTRWtLXVtLRWhRkXhltDtKu5udrv9zS3GEK0h/L32B2NGO5s76gJBF0Iamc5tLnF8KhJb7bUAUA1PqoMBF3BkNvZ2dTV3SIAouGhFgDKZn/Y3dMKANnYqG9pMTY26oNBD8OgRuMDm63R4WjyIjaWx0y15bX1agRzsDz28FFlKOwNc+7mtkqMtOGU3R/qcnQ1uLytZMAZCnt9qN1UW97QqGM4FCM62zpqgrTHi7YhuMWDtJOBrjCLNLdWt7SZaurUnd0tjs6mIO0hqO66Bk1jk7613eQPumrqKuoaNF7EBgBVbSqrf6jt6mlleaz+oZYHBII5jDUPauvVKO6sa9DUP9T2ujsAoBoadXUNGpujkeWxMIs0NukfNRuaWqoRzBGkPVSwu6lVz/AenLIHaU9Ti+FRc1Vjk57097Sba0l/D4o7Q2Fva7vJH+rxohaUsGKkxYu2YZQZwS1PgeAWHHVgiJ3EOwnEgfvs8JvEnvhm05/QIb//SYzZ3xw/uYWOW/t3901WmB9C7n7KRvqaGQa/9cicU3L8xVk30jYY1DbiUbevthuZu8dy4W7PsCW3N59ytvSEWzrZc+WEdGdjs8vT1Op9Z3nF26WtTT6m1kbN2No0dkX5aW3PsPe/OnSLaPD6rhncRdsf2jx4Y3to2rKKqav0tl6hxe3O3KP7xbvl8s3VdZ2+Ng9Z3wrG59U8N1u385Rz42fNAxYbhi68v2JPc5MV2Dv9GjO7YHvj51/b/8/8WzHp9S+tqLleRSVmVYqytGPSKuJUJnGWLkVWJZHpxdJKiUwnllYmZeuS5VViqSZZZhLLKpLlVcnyKrGsIllmEks1iTKtRFmboKhIUlSLlYYExYMkuSlRrkmRG5OyddAMl0gN4uyqFIUhKVuTLKsWy9Up8rqkbI1Yqk2R1yRmP0iWVyXLqpP6dGrFUm2yzJQkq0iWVUfnaGNz74szHqaodBJFZfQi7VvFt52djU8idwS1RtImhxkPHfZS/h4Md3q8bThh8wc66XBvINjlQzq8vnYYgQ7Tq9HhXoZ1B4JdSiW9WAAAIABJREFUBGknSHskMh0uJiIph8fbRvmdLOej/E6agQHjbR5fCx3uRVArDCdHMVsg2AOTPTxOPmGHSmCnUL/b00pSnZS/y+VuYzkfXIFJUp044QjRPYFgF8t54PrMEN3jD3RSfmeQ7MG8Nj6MMEFPiOrFvDaBQVGPFfPawgE3hfX9yP14F4k6SdSJeqy03xUOuCNnQ1QvgThIzO4nnCTq9PZ2+PGuINnDhrxsyAvLiNsSJHvCATcT9HC0j0SdTNBD+12034X77LTfxdG+INlDIA6O9qEea4jqZUNejvYRiCNyFnFb2JA3HHDTfhfmtQWI7hDVy4Z8bMhHYV2I20KiznDATaA21GumsM4g2cOHET6MUFgnE/TA8WNeGxvy4j47iToJxEFhnSRmx3wWArU9BYHaSMKMY+041oEibTjWlyb2zyzygmz+LWC4HcU7flJghDmCn7qvv2g8P4TcA55WP9JJ0e2mh9aSNRsmZz/45Xz1sMUVA2c/GLD4zpD5FaIlD15YoktYUD4g8+7AueqB8/RDl5QPzNAPXah/YcndaGn1HxdXRS25NyitXJShE6VXP7+4PGpJ2YA0ffQC7W+XVP9xyYOBGdphaTVD03TRC40vzK+ITq+KVrQMT694LkP9m7naQZmVw9PK4nJ1UYvvDpVWxeYZUhVVUfPKhqRp/zjn2tBFt1/4UJ2YXi5RVUVn6GOlZTFpX0dnakQKU2Le/SilLlGpFSkr4xTaeJU6XmFIUFXGKbTxSn28whir1IjkdfFKfbxSL5LXxSo18QpjUrYpSVEpzqoRyfVJiipxtilRrkmSVscrDHEKbUKOJk5RmaDSxcmrElSV8Sp1fE6lSFEbn6OJk1fFKwzxOZoEWXV8ji5OpRMpTLHKCuj2iVVWiBSmOJUuUVYlyjElZ6ljVfpo2b2o7Oa3SssttodPttztjw+tMAEyfGJTAbvb24ziHV6kFcHacdKCEWaYMBnFO2DaZB/a5vY246QFJy0ebxvMAQBTbMJVlI/z5lugPOm3IVg77PTxS27fYB5HZ3dE0nbChJ0wQyd8vYDpgCIrZmEyIjg8j68Fpj3ACDMskITZ523G0DYMbfN5m3GsHfG1UKQFRVpRpJUkzBjahmPtBN6BY+39gSKt8BQ8C/VQpIUiLYivBcNaULSZJNuhKpIwo0grgXdgaJvH/QiqhTojSryepoiw19NE4B0o0uqnrHBscGCwITxEkVYca8fQdp+3BcfaKdJC4B1eTxNBtBFEnwAcJIa2wbY41g6VwwJMt9DHYn96df+/hRdr9WHtCN7hIzpQyoZSNjdhdv05S/Ybg72/Pfu3sdMjP58I/gY9Rn77/cfwg8idQl09eAsPHDfqG4s3lkiy7kblGGPnNcUuaIyV18UsqR6+2DRY0RCz0DBUVv7iwrqE9IZh6bpnM+ujMyuGLmmJz6p+Pq12aJohJqtheGZNXFrlCGX18MWmIWmVLy4yjpBXjlioGZRWn5RpejGzLnZx7YBMU3RmfbSsbEhG7dAlNXELHw1KaxyRfu+P2ZWx8qbBaVXPZj5MylYPzWofnF4zPFM3ILvxRVnlC0uaRAsbEjI1QzObh2ZWDs9ojk4zxMvuD1vcGC81RKdXR6UbY+T3oxY3xUgro7MNw5ZUx2cZB6YbxNmmYRmGYRkGcbZpYLohPss4PMswINsYl2kYnGUYkl0dn1X1QlbViGzD0CWm6Gx9jEwblfYoRv5gRFptdHp1vEw3NMMoyjAOyjDFZBjisoyDM42JGYZhmdVDMwxJWcaB6YbYzOrYzOqB6YakLOPQDENUpn5EZs2wDL1IWj8gTRe1+P6EIo3N0/ZnLHcEtXq8HYFgF4pZvL52yN0wV37/BMswbTJMaQLzq0BT/XFshh0mvu9bO/M4VSeGO2H9Y963IagVxRywdxiRHbl9ccIGBQjSCdk8spXK4wQAtsiNHtFA+Z3QbEf6rc53I2Yi0OVGzD7chhB2lHR4MasHtWBUlw93+HCHF7MjhBOjutyIFSU7oRhC2H24DSUduL8TJR0uXwdKdnpQmxez4v5OL2bF/HYfYfFgHW7EDNXCLryYFaOcsLkPt2GU04tZvZgVHsIySjqggBsxo6TDg1pgX/1PwY58uM3l60BJB0Y5Xb4OD2qJXAvsxYNaEMLuRsxwVLAhSjrgeBDCiRBOL+ZAiE44gKdAMQdOdGK4E0WdPtThRewI5kTxzieSOwLzIH2Tca8vu+pPPTfwLRc87oT4qX39T5wD+EFuGZ8NRVwc6H5Q2Xxxd5o8b9vydUULizYuXbVzZenaD/M2b1m3bn7pJ3kl+0tKVi0qOLi5eE12yUfSot2bVm1KzzuyanXpqsK18uWfrlm1duHyY5uLS6UFG/MLd2xel7tg2Z6SVTmq0h3Kgk0r15TOLfy0pGS1vLQ4q2Df5rUrZpZ8UlC8evlHH6Uv21S8OT9r1b6i3HXF64oXLduzfm1+2opPC1ZtKC0qkS47vLa0KD//TM7K0hVrC+cU7Vyztii96GN5wa7C1SsWL9+7rGRz7oqtquXbC9auVOYfWFqyKb94s3LZx8tKVmeu2FuyukBeuEVeuKVkdUHmir3LSlYXrSyVLt+3unhpzoqtuYXb1pQUSFfsWVVcKl+2I7d4c27JOlXBgaWrV+Uu35m7/OPlqzfKlu1aVVKcUXB46cr1y4o3Zi4/tLK4SFH4qXzFrlUlKzMKDhes2lCwakNGweFVJSvlK3YVl24rWrYuc/knG1auWVR4KK94zYxVdx+1/jlyh2vWI1nsH6/Xt+NEp9dnxXAn/IY1sODxWiL/foLs8iE2yMLQfR9ZAY9iNgS1+xAbQXbhRCdOdKKYA0HhrFRfan6XuwWm33J7Wn1IB0l1+xAbvK2hJOw9YsXDEUbeD/rb8nB3rb70n5gd8XT4CSf0ZgTIThKz44gV89oIxEGiTtxnx7w21GOFThgKd0AnBo5YI94MP+HEvLYA2YkjVggSs+OImcJtfsKJes2wksIdUPljASvms5CYHbp0oE4Ss6NeM2wFHSZQBvYFC6jXTOEO2NxPOBFPBzwFm8My4unAEaufcFK44xufw+Oz8EoJxAGvEXE/dcv0gcItJGYm0A4/ZvZjZj/WEcDNJNL258md+MYp34FjHRja3sf4Pxm+5QWK4G/Tb+Rn+80YftBmHWQjTbaiQcctTaO+tjkEMCHgE4JUgEe5oJ3hg+GAx8cwIOCjGIoMkzSL4+EeMhigmW4UYKTQ46fZAEOFgaM3SNEC7ucZjA4QrJ0QQIghAiEfGqYA0xOkKT/vY3kXG6SEEBakA2wgRDIYHxRAuLc7HAozLsZP+xmaYjyk4CdCAcD7CQLzA5sQQgJhL2D8Ho4DpAujqUAIsMDp4iiWxcI0FQqSrOD1U2GGI+gwFQz6OcZL0X7A9IZoPETjgOmlaD/HeMOMDw8HObaXCmN+BufYHjREMqw3EKRplgyzaDDAsJyPDoboEMmzaCDkFxiUCIbDYYxhcJKmecYbpKkgHeAZLxliwmEsHMbIEMMz3iAdCIbcDIP7+ACgKJwhgYB8Vt5a11z3ZyZUHztAzJAWPd4OFLPhqK1/DkV4oyNeM2wLMyrD3FXQSEexPs8M9M5HtkCBD4/IfQOt+IgjCBrpPqTP9Q+9//3vLR9iofxdsCOYzBmWIafDruEY4IJMDLf3ulr9gW6O6Q76bXTQwdCdoYA9HHLSQQcddDC0w092hEN2OmhjaEcoYAV8T4AyBygrz/ZASdiEDXeFAvZwyM6GnaGAFRbooC1AmemgLRyyw+bhkD0UsNJBG0TQb2PDXeGQkw13BShrv95tDO1gaEeAMjO0A6qKVMIhhUN2nu2iiHY27ISdhgJWhnbAa2HozgBlZcNOhnZQRDscQ9BvYWgHHbTBArwueJYO2tiwE6p9imDYRQU7qWBnKNwVDNgDlDXot2BI85PIncDsEPCQJCx+yuanbCRh+UlBkdbvRYC0/aSAV0eRVj9lC/jtfspG4DCJ6Q/K5273+2yC33tDrfm6rkcAgAUgCPwMoFkAAMcCgaUBABwHBJoCggAAADQQWCCAEAACYAFPc4AHgAUCz3MwzBoAwHNsGAgAsCAMaMDygBX8AIAwYAEVAgAAXuAAB3iaBQAwAmAEAfBA4DkAGMADLwsAzwoCACwQGADCAAAWMCAoABawLAA8zfEAsDxgBMByQlgAbJjnOABYIHAA8AKACgUABAB4IAgC4AUAQN81AHgC8LCSBYABAgdYBrCPBVkAaA4ADjAcACxgOMCyQGBBiAM8BwALwrCe7RMIcwAAFtCA8QOBBQBwYQDYL283mupa/0woJMxZD8kaw+3QZIb7e8AUiTAfIYaaKdL+2F629t/REMOtMNEugrXD7Qw9vhaCsiJYe2TTRGh0e3197vv+5klkF1zooI94/fo73yNu+v6TBJE9ciNb76KYJRDssjvq7htNFXX1D2pq71UbH9TU3jVUV9TV3zeaHtTU3DcaH9TUwEJ5be3Xen1FXR2UKTPVPKipvW80PaiphYUyk+muwVBmgg1ND2pqy2vrykx1UMm96ury2trHZ43ltbXltXX3qo1lppr7RhMsR/Tcq66GklBneW3tfaOxzGTqP567BkNFXd19oxE2LzPVlNfWfa2vKq+tg73DJlAGNikzmcpMJihw32i6V12taWiAqh7U9p19ijJTzQOjsdxUramt1hh0tY01Pd4ujPQ+MYAEtcEsoTA9ZzDgYJkegXcJQs9PC677e8ExnT8p2LCTYzp5tgvwPQLXzYadAcqMoy0/bIUqZiFwazjYeVVbXVZvhbQG2Y/neZqmd+3axfM8gHwoCEIfNYJIZaQQ+cAaKBmR/67kdwX6H8ICx3Hfquzf6rtd/4N8BACA0De2L8saquobgwHHt8i9z2lO2Lye1khydhTpgLlwYdwYjtr68taiZopwwlM4anssY4WZx2G+dbjkAdbAB0Mkve1PCNSGYxYfYSEQJ4q3Y7hVYBxHv9Jsv1J/WW+7pm29oG4/pzZfUrdf0bWf11guajou6ywXNR0X1O2XdZbzFW2XtOYL6nZ4eElrPlfeeqXSCisvac2XtOaLmo6IDKy8qOmAGqC2S1rzZZ3lXHkrlIdqYSuoPyIWUdV/GFcqrVDt2Qctl3WWK5VW2PwpfkSc07Rd1nRcU3dcftB6u6pp+V5NR5eN8nc9MVqGMHtxM+7tRrvaMbz+4OV7i1btmys/ODfn478KH+Zu/37k7/owf9cHqu1z83Z+oNr+Yf6uObmfzM7ZMTv34w+XfjI3f8cHOds+XPrJLOWWWcotM2Qb35Nvel+1dZZyy3vyTf0xU7H5e/Etsf9PvK3Y+qZy/ey8T2bn7JhZsGXx2n0Xbn0N8FqSsGCItS9MCLPgqIPEzH9xbhncShI2JtR1sbyyrN4KBFBf//D1N6aMGzfulVdeMZlM0dHRkKT6MynLsvC7P+3W1dWtWLGiv1iEmmHllStXkpKSxowZ093dHWnVX1ukI0EQOI6Drdra2l566aVx48ZNnDjRbDaD7zwA/gE/fzm5+7xtwUAninRQpD3g79vxisCc4ZDL42rDUDN8O6NIq9vVTJH2iC0PqRymWe/bkgKzUIQTJkyPJGH/e5F7k9PDAwFwIQB4DgAgMACwAgCP3+x4lg0DwAtC5F2P53kWHsJT/cFxDBSA35EC1AAL/fX0b/XdckQ/VBVRCMEw9Ld6f4ofDhoAFgAOvg4LzN5LJmdvox9vfKLPHXdiiDXkd5Dejj1nzqYXHdj55Y3Tl6qOXKv+q3D0uvH7cVF/8nrNsUtVp7+qO3HN9MVlw7FLVSev15y4Zjp2qerLq8bjV6pPXDMdvag/daMWHsJvWH/imily+L348qrxr8Lpa7XHLleevGI6f63us4uG1YfLFy87cE/bEAo6CcwOyR3DrTjqINAOnrP8peSOIh0s3X1ZXVVWb7W2dyxZknHl2tW6ujq9Xt/b25uUlMTzPI7jKIp6PB5BEFiWpSgKRVG32w0AoCjK6/W63W6Xy3Xjxg0oDGsAADiOu1wuBEFYlvV4PDU1NTExMR0dHRzHuVwut9sNOb2zsxMAwPO82+3meT4YDPp8PpfLJQiCXq9PTU3t6uoyGAzjx48PBALgCVb/P87nLyd36D1HMVsw5DZb6vyBXorqRVGnw/koRLv63q7wDhgYg6BWGIsCfeuRXYFQzAJ3DoLe+YDf6af69sf4e5F7s9ULBAA4ngmEuztdAYxgA6Gvrt9enrcM8ABALoXEzkKnmNBXw/Wdwr0Y5kEB3+9UpMwDwAHE5cM8aJAIAP4b12BEhgux3yiMPEEeq2ICYRIh/oR/4Bi4H8JgT/FkAAZwNGBZIAABsHvOG22ORj/5xBWqXq8tgDkClNXT2TAuc+sVdU8YACD0OVN/ONjHCHJc+HE53O87ghDP9z9k/vTsjwUecCxgQxwNAMsC3iuA1YduZaw7KvBuinCimO2/Q+7QLcMzvVc0hlo7OnXy6+XlakiZDMOEw+HExERBEPbv35+UlPTmm29WVVUFAoGCgoLo6OgpU6YIgrBt27aEhITU1NSvvvpqzpw5PM+npaUNHTp0xowZAIDS0tLExMTU1FSv1wsAEARh/PjxHR0dDQ0NYrF4/Pjxp0+fbmxsfOmll6CdnpiY6HK5tFptYmLixIkT7969q9PpJBJJW1tbZWXlzJkzQ6EQJE34WvCP+fmryN3j7QCAOnHiwM9//syFC8cBCF69enrKlHEchwPg53gMAJIgu4JBD8y3znIox2NwuZM/0AsAyQt4KOAKUD2QauH2SThm+VtszP0Ecq+zu1gAKBJV5S+NTkiKS4id9cHMg0ePLlySxgg85FuaYzkAIof9p0zCPHfgs8OHjx6Bh4EwDYXDPBeRz5RJ//DH5+NEiUEmHOFwqKR/GcpDPRE8+8Ifh0WP4PpsSQEqjwwpxDL9hZ/ih6PvV8EDVgAMAHsuNlm6zH/GLeNDLAHMFvR3h7wdf3y7NMgDAGiGY3+83ygvwNc1gQOA5zmGh+92vAAEUF1lYMMMx7BAAIAXjIbqvnIE/I/3nBEAEIDAs4//UDQQAgIAlyvapst2AOCjCCeCWv875O5DOijSTgec1ytNjd3Uy6NGezw+lu/7dwQCgZiYGABATU3N7t27V65c+dZbb+3fvz86Otrn8/E8X1ZW9utf/7qjowMA0NraOn369HXr1u3YsQM2P3HixMCBA6FVDh7T8dixYzs6Orxe74EDB/bs2RMTE2MwGBYvXlxbW6tWq2fPnh0IBBwOx969e7dt2yaRSNRq9S9/+cu33377gw8+2L59O8dx0Nj/hzXbwV/llkEsBOkEgDp9+vNf/OLnpaXLaRq9c+fK65MnAsB8efzz4uKCU6eOsCylrri3ZvXKvXu3t7U1qFSZjY3GcJjw+brWry9evXqFw9YY9PdiCHTFdCC+doq0w23k/i7k3mjvCQb9y/Pkhw7v4wSWY4MAMMdPfLE4bT4A7OdHDm7c9NHtr29Aw+XYF5+tWVt85eoFANir1y5u3rL++JdHqgza+gaTAJgDB/es37DmQfldjqcvXT730brSU6ePw4a9rs4kcTwA7P2yr0tXrzxy9BAArK6yotpYCQCLoO6r1y6yXAjqhGcBYG/eujbr/Xc/mP3eg/K7vNBnqAmAAYCNHD7FjwsGsAJgBcAzQAgDes9lk7mzgSRbn+iWITpR9BFGdNKu1oFvr+DDNGCDoR9xSAIQOL7L2blzxydWs+VbrB0XE+vzeKEM4IXY6Bg6RPEc3a85Az2NfYUfDhYwNGAB4HgAeB5w4Kv7D9/K2AGAj8QdCGrFCDOGWzHE/tf53FGkI+R33DY21NrRMSNT29o6eNDnCqdpesyYMQ8fPszOzi4sLMzPzx8zZozL5VqxYoVKpSotLfV6vSUlJfn5+TKZzGQyvffee+vXr9+9ezfHcYIgmM3m0tLS3NzcvLw8v98PAGAY5qWXXjIYDCqVqri4eOPGjc8995zf7z937tyiRYtmzZql1+txHE9PTy8qKlq/fv3gwYMrKiqmT58O28bGxkZc8//In7+c3AnSjmI2nid27dpSVJT31luTq6rKjcaKyZNeFXh2395dpSWFclnGna9vZGYsfmXcmIKlqgXzZ6uU2R/OndX4sGbF8ryS4hUb1q9OW/i+1VwfDrngFs8wAyXx5NwdPzW5t3QSFmvnKHEyEADDAiAAwIETJ88tScviWLB3z8GNG7bm5y2/feve0SNfKhV5S/NX3L3z4NbNu1mZ8oKlhRfOXykt+Wjrlh1fHj8tzVbmqJZqNVWXLl7LzlLk5S47dPAI/Cl6PVhcrAgI4Mb122tWr1+1cvXJE2dLSz4qWFoIBFBb8zBZMgoI4MzpC+vXbc7PW3740FGOBeNfee1RY6uxum7Sa28AAXBs3w+b535MW+wp+oMHgiBwPMfwQOBBYP8FvcNZH6aeGOeOYF0Y1hhgOgM9DSPeXg5CAcACDJBCmPpREGYCALA3vrryr//zZ599fkAADNc3L8ByPB0bNxwnfJHD+IRoXggKIMRyfoalWM7P8QGW8/+IAAEfCId4wPhZPx0iAU9fua95J+djIHgIzI5iNhgt89eRO3TLcOGey+qq+3WWu7duS6Vyj88L7WKSJFNSUg4ePCiXywEAbrdbJBJB/8m5c+eeffZZKFZRUTFgwIBbt25Nnz79448/3rhxIwB986IAgOvXrz///PPBYBAeTpo06ezZs9APw3HcqFGjent7CYKQSqWFhYUAAJ1ON27cOMiMSUlJZWVlkyZNAgAEg8GkpCToluE47v8Ot4wPbcMJG8fh+/btyMuVNzXVzJs348qVU29OnwIAu7Ko4NVXX4qKGpCfL1uSNv/+vVtOh/mlMSkAMNOmTrpw/tQffv/r6dMmvz55wr/9j2fK7l4TOARFOmDgDdyQ+u9F7o86PY7urjGjkznAswAIgBUA88Xpk4uXLBIAn5ufM+3Nqb/7/W8/3rHtw/lzJ742QQB8KBxUqOQxcdH+IMUJbOmakj37dk98bUJXTycPOAHw782aMWpMapilBcBzAisA3uXpTR4pCbP0/oP7pkx9feSolNTRI4N0YP7CeQ8qyuYvnKfRqTmB3bJt8+Qpk8TJSa+/MZkH3NhXXq5/WKet1LwxbQrUA3XCXmDNU/y4AMJj57sABMDuu1hnd7aECMeT7isUc2BIKxPuDrqbo6atCIZYPihQNEHR7I8CgQdtrdYP5y66f0+dtjjLZGwAArh44VpsXFLKyJf+6/d/FAA4cfJcXLx4ZOrLv/ntswIPOBYEAwxFhvwUHQwwPy7CQYILBikSpZkAHQwDAVy+X/W69BMAvCTugOSOoGYMsVO45S91y8D0BTBaRv3ICTj+ypVr8YkJ0dHR0dHR9+7dmzZtGgCguLh46NChgwcPnjx58s2bNwcMGDB69OiampqmpqYBAwYkJSVdunTJarW+8847AIDMzMwhQ4bMmDHj2rVrgwcPTk1NraiosFqtAwYMGDFixJEjRziOO378eEJCQmxs7K9+9SuPxwMAKC0t3bFjBwyS2b9/f1RUVExMzODBg3U63S9+8Yvo6Ojk5OQbN24A8E1A5P8FoZA4aUYxCwDUzp2bszIXAxCaMCF1+/a1ixbOXbVq6YYNq3C8Z+fO9SpVulS68Pr182bzo5dfTgYgNGXK+KtXzyYkRLW1NfT0WK9fOet12Ui8kyRsGNqOYx0Ebu2/evtvTO5tDp/d6pg09iVXTy8AgA+FAM+fOXU2V6HMV+WcO3U6RPk3rP0oV6EEHN/U8FAUF6+UygDLWdraX3/1tQ8/mL1j67bPDhyc9voUd3cPpIgQ5W+sqx835qXZM2cBAQCOx7y+UckpF86cXZqTi3q8NYbqUckpgBdUMvn2LVsnT3wVCGDjR+vWFJeQKHb31u3ZM2edPXnq5888Ezt8REzU8J8/88ynOz7p859GvKiQjv7epu7/ZRAEDggsADwHQBjQu6/Um3s6UOLJxgfe6vc5QngP3tMe/fYab5ABLBCoEB0K/FUIBf3fCwEwrW2Pxr0yBgD2jamT9FWaxkd1kyZPaOtobm5tjEuI/vruzZnvv9va3tTQWDts+BCGoVk2HA6HQqEATQdpOhgKBX5EeBneH+JCNBWiKTYQBpxw6bZ6umIvdMvACVUENeOog8ItHGv+CxcxWUnCwoS6LlXo79dagQAEQfAHKejapmmaJEkAQDAYhP4QjuMYhqFpOhwOR2RommYYhuO4QCAgCEIgEIBlhmEYhgmFQjDGBgpDi5thmGAwCOkPag4EAuFwGNZAhbAVNPBhJSz0j7uHhe8Nuu/vlP9WuL3w+AO+84SIuH36B/V/b6eR8ndDMyG5syz/p+Ru+R5yJ2w+pAMAfPuONWlpsznO3/So7mfPPLNkyZy9e7cvK8jRV1bk5cozMxcsWTLn4sUvHj0yjRyZAAA9Zcr406ePzp8/68KFE1eunJk7e3ql9nYo4CLxTtTXF+T+t5lQJXArQloj5M6H7cduah/aXGEALl+9kJ2dffHSteu3b2gNus+PHFOo5Ju2bNyxc7taW7F4ySJVrrK7t+vajau5+Tmbtmz0+Nw3bl4vXVOyem3ppi0bN2/dtLK46MCh/ZevXmporH/4qOHKtcuFK1esLC5ye10XLp0//PkhZY7i1JmTUnl2hab80GcHR45KgQZ4gii+ps7EA27Pvt0KlbxCU75j5/b3Zs0oXVNy4NB+aE5u/XiLXCmDZWi8R+z3p/iRLXfAA4EFDAMEIADm0ws1bd0tvuAT708f3kag3VTIjLitMdO3IWGMZYlQkAwHib8KTIjsX6ADOB3AWZoS+PDBA3tGDH9Roy4TJcbu3/epoUo7ccJYOMuaJEr46sa1N6dPha8b8XExTDgg8GGBD4dpf5j2A4FhmWCY9gOBZ0PBEIXz4WCARFiaogMoE8KroBvnAAAgAElEQVT/2nHiHBkKIaEwSvKYP9wNOPT8V2WTVbsAwHHSguEwYKYdrl0XhPa/iNxRzIKh7QLrOntPrXnUBQTAsqwAY5cY5k+s0X5k963VTJEyJN/+3/2XHUGajhz2X6YUKUS09Vf7rXJ/Jo08cvpT83ct+m8x9Xepuf9gIo+TiKr+l9C/8C3931waABHL/cSDh1pT3ZPIHYY28gJ689bZ3bs3wc0/Z8yYun//NgCCa9YUvvrqS5Mnjztz5sjBg9urjfft9uaSkqUABDduLG5rq7Pbm99667VJk14qL7vGhn046sBRW4Dq8nnbKNL+NwiFJDA7gVv7W+582H70K02bxS0AAAT22oUr70x7d8Y77+bmKCvuqU+ePMnzfGFh4cyZM6dOnXrnzp3t27dPnz59/fr1HMcdO3ZsypQp+fn5PM9fvHjx1q1bAAC5XP7GG2+cOHFi9+7db7311sqVKwEAZ86cef311zMyMjAMAwAcO3bs9ddfnzVr1rp16+Cffc2aNfCNkGXZPXv2vPnmm+++++7+/fvPnTunVqvh//r27dvHjx+nafq7d8XTz4/74eBPSQACDziO2X/O2OtqpZ88oYqSHX6fLRhoo92PRkwpCtJewNI45aPCyF8LkvaRtC9S9jNoiCfIEP7sgN9/uGjOzDkzFqbP/+2zv75w9dy4V1+GISuJEvGla1dffX0yPBwWPYIF4TsPbt+691VYCHV7Ovd/tjcshDjA7Dm0E/V7QjyFBz1+BqXCXpL2UGHvXzvIIOEFfoQn0UAoGAoFAB2+eEXztmwvELAfRO441sGEuq5qq+/VWADLAQA44ZtJy+8S2Z/5fJcu4ac/OwMAIhQf0Rwh02+17e9Yj7Dnt6JloBL4ZvDdwXy3Obyi7y62gqoij4cnje1bLwffu0BXAPAFFLAse1rdZGh49CRyh6v2EdTKcj6WQwmyi6S6ASA5HoPbXwAQBMDPshjDIiHaFQi6AKD8gV6WQ+mwN8z4AKAAIDkGoYguAutbxASXO/0NLPfvkjtH245+pWmyuUM8zwvhx25WwHB96SgAD2AEYp8TNlLgAE9zQpgHHACR0HXum7NCmP+TtpGY94hYP1XflCOA8mw/ee47QfRsvx6f4kcEAPA/xID/l733jq7iyPLHvfPb3Tnf3Z3Zs7+d2RmPw4w9NsGIjAgm2BgsMMZgchQGIUzGgMEiSGQbY7IywiSRhCSEkBAI5SwkMsovv6cn6aXO73Xuvr8/SrSfhcVau7bx93foc8871dW3blU34lNVt6o+V5aAjbx822hpYunWzv6uHJTJh9lon5101Px94hbB5wSOloVWgSW6KrwPfzyaJgSWkHhKlbwUhgf06Kn53wL7DzDp9GGfb5g0YdyEoDGv/uVPZn3jxnVrJn84ftyYd1958b9AhU0bNn7+2VpQobSwaOigQFABZKXnm6/X3L8DIAosJXIk58X+By0UWIJRfD62VeSdnMiwPAbAJF+9OWnFYVAJgjLghPV/Au4EaWJoE+e1Xim5VXDfDCr6R5D9R9/oQh6SDuPuDsP5/xadO2AuOonaYUKgIaZ/dfBEb+GPrciBg/K1CccPjtY7LMM+hUThyQYAdKRDgCf6GPj+yF1RlHOFjyruPewM3BH9lsutJykrQZpc7iYUfIOi7W0OHcs5CdJG0XbEt47hJnRkCYXyQAN/RO5Ik82Y26ARpaIzq88E3FXRmphdUW9sUUEB4EGWQQVZ4QFEkBUVFEkR0aKlArK2eikpov8sHvlGRFlQQZFVSXOVKCAjzR/U14pot/4rpSoovMhpt1rVHVZQn7tlfg6R5fY+nlWBA/54Zp3NpuM6XxNyMM14m5HhnAzW8LeP9rA8JkkMwxIcS3VJeI72v2V9JMdSAs9IIp+flwOg8JxPVaSC/FwAxe1ynD9/4urVS3l51wB4u91w4cLJK1cuFhRcB1AePbxfX1cDoDA0mZd7E22QL8jPZn2kKHgZGuNYiuMIlsU5ruvt9Hkk3smyHh/HCl4SBOJSZuGk1cf/VyN3D6ZnaJPEt6QVV+bdNYKsAIAK30O6J/el/Ldejh/U1yD7SbMd+gB/Z8iT1fkPpTuA8o+fZHSoQhv+d7CjKfhzLUDnnUT7rAJAFdvXD84VPnqKzx2BO0Vb/Hn6EZsj47VjuMmD6RFnOgrlgXjeES2wPw0v4o9ExDI0aUV8Br/YCVXN544TRpBsF/Kql8dUrI0rCDuWt/lY0YaYgs0nitfH5mw6VrIxMi/8WOnW+JKIhLJNMYVh0QVb4orDogu2xpdsji3aGJm3Nb5kS1wxSmyOLQo/Vro5tmhrfAlS3hRTuO14eVh0gZb/RVT+lrjibcfLN0bmIf1NMYWbY4s2xRRuiSveEle8KaZQy9z+bcXm2CJUXHuKNJEdrdRz+Wll8/EbW+JuRsQWRsQUf5WQ9dmhsla3XfB1+veJkWYWM7GsiWm7++b4HT6JkoEiWJXn8f+NcBzGcRhKq6pXFEmv1yXLNIDvcaL9cBPHelVFkh5zUfA8Lsu0JFEs6xFFEsAniiTLegB4nid9PkySKEEg/O13SQTOzSkUJnCMAgzpFL2tGfmlH648CkBSjOl/CO4kZcaxJoFtvlxUgRZUFUVB4I6wzN/z7u9deYrTo0O+/xLlk3jqn1laWhofH492xHfoCZ6EV+hkQN1Zr6Np/uBsQHO5iKKIXL3+w3b/Zjy5FKGlHQ5HRUWFLMu8IGk+98T8B093yyAiAZe7iSBNNGN9HPzF4vYY2nMIHYrXgeEm/9gaaNiOjCC+AS9jJXCDx92Etsr8AlshEWcZRptovLkd3OXmi/m395wtissoj0m5GXcp/2TmrchLN2Mv58dfLonLKI1KK0QSn1kWfaUoJr049mpJ5OWCuIzS6CtFkZcLoq8UIYlKK9Ruo9IKkYImMenFh5Nz4zPLkLUjKXnHrpVHXi6ISis8dq08Jr048nJB5OWC2KslUWmF0VeK4jJKkbX4zLKjqflRaYUx6cUx6cXoKVJAv0dS8vwrei7/ezmUURR5tTTqSmX0leq4qwWfJ5SbCLPbW9fpjNBdx5BGkjFhroa+k3cY7UbgjbLLQuDOLgmOOZB0uMVxO0m2ejw2DGvGsGYct9O0w+OxkYTb5WzBMSdJuDGPg6YwHHO6nC04bsewZpp2kGSry2UhiBaPx0YQLR6PnaZdON6KYS0ejx3HW2nK43G3drWdNOFyuRw45va5WgGzqj5PfFL2h6sTfoIFVVBc6aVVFQ1t506f+eyzz9asXb1o0aLy8nJ/1FMUJTo6WkPYH7nudPHixZKSEn9A7NBnaLiZk5MTHBwcEhKCSGkQCndwc6Pb3NzchQsXbt++fe3atQcOHHjS8+MP4vD9jicxMbGyslLbltNhlqAoSltb21tvveWfabfb161bh1bhnnS7a5cgCOXl5RMmTCgqKrp95x5IoqqCqqpPH7kjcEcw7fW1uD0GDDd5fS002exj7CRhJHAdgesQBRhij6FJKyi4LLoRJ2o7zzumpykz4hHzMlaSMGJuA0PZfpmRu+aWwQmjKlrP5dyqbbgD4ALZBkKrwtolwQKKHfgW4JuBs4FgB74ZBDuIj3PEFuBsKmsFqRUEO0itILZ8J3wzSK0qawXOBlJre1nBDopD8Vnaiwt2VFxlre12xBYQW1TWiiwoPgsqIjEmkFpBagXOBnwzMo40FZ+l/RGy/1x+IpHFZlBaQLSJok0G27H0gua2ezTVKXGYF9M5KAPNOhwOQ9DinftOXDDpmkSyzeeq75J4nXVIOuTz7ka65RHnapBwvbetlnXW+xx1nKuBdT1iXY84dw3vqfU5HzJt91nXI4lo0HS8bbWCp4lzNfgcdayznm6r4bEmr7OOdTcIuA7VxbobutpOuq2Gd+sUj85rq/Y66+48uhca/vW6oxdUGcNJ/f/Q547hBkRFn1lx51Ez8/bgIREREXHHYvfv319XV4c2Emij7549ewqC0JnjRfv13yeTlZVVXV0NPzTq7+CWWbdu3ZEjR/zRU+sGVFXleV5jlXn48OHRo0dffvnlDRs2pKWlwfdH7minvLZvssOVmpr68OFDeGI8rhkhSbJ3797+baioqHjhhRf279/f4dU6dA8AcOvWrXHjxtXU1FTfvquN3FMqmu7WNXYK7pQBnVPleAfjtVO0XVYIp8vAettospmhLQSuo0hD+4kk3MxQdlUmIo/sPn82VpUJirCRuJUibP787yRhRBTBvwD9AEVYCNzgJg0UZiMoPU4YFcFy5kb5nboHPsHBsVYSN/tYB8lYPHgTTbZH8dbiQKFg32j+gRJojuK/2ox2iz5mvTdpQtEWLeKgvx0UnlBzcKHJkJbwD1KozXvaXVuPbXao6Ln874Uk9Ayu40gTjdtAwQ+dLbHZzQzjfMqgoY0zMK4mIA359+omhcUMmPnVW3M2Dpq1vUsSOHtH4OwdP5A/c+fgWbuGzN7df2pE4Myd6HbQjB2BM3ei34HTtw+asWPI7N2DZuwYOH37kNm7B0zbNmT2bqSsqQ2es33AjK2Bs7cNmhWBLA+YETF4zs4ut3PO1kEzdg2atvPt4N09Z4T3mr5j8ZZv7S5eFt0YocNwiwbuBGZSlKYfO3KnKTPilqlr8416e3hzcwvCLZZlly9fXlVVJYri5s2by8rKunXr9tJLL23btg0AVq1a1adPn2XLlgFAeHj4K6+80r1792XLlrEs6/V658yZ061bty1bthw8eLCwsNButw8fPvzNN9+MjY1VFGX06NE9e/bs0aNHbGyshub79+//7W9/O3LkSFEUk5OTe/ToMWDAgOrqar1ev3Tp0l27dmVkZGhArCjK4MGDzWYzGjJv2bKlV69e8+fPVxQlPj5+9+7dYWFhubm5L7/88oABA5KSkj788ENEZLZ79+6cnJwxY8agU1pxcXEA0NTUNGDAgIEDB6alpTEMg8Ad1dLc3DxjxgyTyRQaGlpSUsKy7BtvvNG7d+/evXuXlZU5nc7u3bsHBAT069evqqrq7t27U6dOPXHixM2cvLZm2/DhI7t3f3P0/NWNFhvH2rS/Wv9gHSRtxHADAHPs2OEvvlgDIGbfzFyxcklU1L4jR75SFEpWCEH0cLwDw004YRRFHIBf+9mKXbu2yApBUmaaMiJAfzbyvZG7niAtINrPXK+sfPgAgMrKOLth42pWdIuSU5FwL2cnCSPra/Z5bW5XI8faOdZOEkZJbBVEFy84Hc4GmrGSlNnhbGAoG0X8/DOP5/KLCE4YMdJM4mYK14ui7fClMlNrk5fuVN9JWz1kk48wM0QzJ7lMTmvZ/bqSuzXlt/U/q1TcMVTcMWjpyrvGW/dMVffNtx7qflapvGcpe2CoqjFXVOlKqxqq6xrcLCnKHEUa2hEDhdzBLBSuB7D8WHDHMb0itl0puVXTwowc9vYbb3T72+uv7du3DwDKyspWr14dHh6Oxq29e/dGeLpt27bVq1cXFRUtW7Zsx44dCxcuPHPmjKqq0dHRO3fuXLp06fr169GBpmXLlsXFxX388cc6nU4QhODg4KysrP79+zscDp7nZ8yYcf36dYSkGzduDA8PVxRFp9ONHz9eEASHwzFx4sSSkpIXXnjhwIED/geaAEAD90OHDi1YsKCwsHD79u3Lli3bt2/fn/70p8rKysrKSkRjMGnSpKqqqrS0tC1btnz66aepqan9+/f3eDw+n2/69On5+fmiKKanp2dlZY0ePbqsrKxfv37aIB3DsL59+wJAcHBwenq6y+UaOHCgKIoEQQQFBeXm5g4cOFCWZYqixo4dm5WVNX/+/F27dp04eXra5Ek6nYGmyXOFD27X1HUG7i53E06YFZWMjv5m3brlDx7enj5jcll50cOHlZWV+U1N94uKrl2/nlxbV6mopApUbu6V+/crJ0/64JtvdgHQBBqw/wI0A51JJ+BeVVPLCo6rl88UFuWo4C0ovJpzI+3OvSIVqDt3C11uoyhhesO92rpKADq/IC07O7W2rhKAcnt0bo+O5VrcTt0vccL2ufwi8iS4m9t0TwF3DLOSuK191EI1s1ybwNlAsili288qkmCXBLsstiBRpFYkktjyswoIJkVpYTgHCAQIbsln5rxWArMSuA73GDX6AYqwkZjux4bZw3AD4nO/Vnm33sGOHPZ2W5sTEYchb0NRUdG4cePQbe/evRHCrlixolevXhMmTHjnnXeuX78+e/bszMxMALh48eKaNWsuXLgwefLkI0eONDQ0rF27NjU1dfDgweik65w5c9AtGrDPmjUrKysL+cfDw8MRneT9+/ffffddVOPAgQMRBcKTK5+BgYEmk0lV1X379r388ssfffTRmDFjTpw4ERERcfjwYdQzBQUFAcCwYcPa2tqKioqWL1++atWqjIyMoUOHImuTJ0++cePGiRMnJk6cOGPGjN///velpaWBgYFaXQkJCS+//HJSUlL//v3Xrl1rNBq1p4GBgcXFxW+//TbqCQIDA/Pz84ODg7dt25aSmjZi6BDU0jN5dyvvP+wM3GnG6vYYVJU+cyauX9+3vghbV1VdLsnczp1h4eHrJ00aGxDw+nvvDZ0166P6+jspKWc++OCdoKBR/+9//C4y8hsArwcz4pgehV56NtIJuD8yGJsMt1958fcLPpmrAr9u3dLpUyYuWjy7senhu6OHZV5LBeC/2b973vzpgkSuXB0yffrERYtm3b1bLCsESVk9mJ6mfokF4efyywgCd4qw0IThx4A7SRg9HgtO6kimkSKaPQ4DTRkI2kxihp9ZdBSu/yH5eQOI4y4T4bU4qSYXWesk6jxeM4GZBIeFJPQEZkL0AzhhpMlmCtd3iX7ArFH+Dh0U6HC41McY6nQ6t23bFhwcnJubCwABAQHIC79gwYKLFy8CgNlsrqysnDFjRnZ2NgCcO3du8eLFyOsdHBw8a9assLCwxMTEUaNGIbKBOXPmJCcnDxkyBAH0lClTsrKyEFZu2LABgfudO3dGjBiBGtC/f//09PQJEyagnsZ/E2T//v2tVityEEVGRqLWFhcXh4aGImdLUVFRUFCQqqqjR482mUwlJSWhoaErV67MzMwcPHgwWkWYNm1acnLygAEDUHVBQUElJSXaLQB069Zt06ZNK1eu3Lt37yuvvFJcXDxmzBj0dOjQoVlZWaj/QF1IRkbGvHnzduzYcSbx3Ki3h7Esr6pycnn9ndr6zsDdgxlJqllRqPT0pH944YVz50+Jkg9A3LMn/MsvIyZPHvfoUTWAGBEeFr71ixHDB5tMtQDiFxvXfbNvj6JQOGGmSeuzHOF2Au4VDx4CMJfOJ0yd+rEK4sEDe9evWR04uN9na1feyM5cumxxbd2DOXNnZGSmAYi7dkds3LC2Z4+/b9u2gRfcFG3DfoFNnM/lF5SuumUYop6hLRipd3oavHQLS1pIvMmDGT3UzysYbcBog4fSeyi9m9ShhIfSe0jzzyoYbXIRTRSjp6gmF2VuY9pcuEWgdBRp0CIxYbiBJpt/gBXy6T53lrHcqH7wwEYOHzK0d+++74x+d+jQoVeuXPn888+PHTtmNptnzJhRUVGRnp4+YMCAQ4cOWSyWefPmDRs2bMqUKQ0NDVOnTk1OTlYU5cSJEyEhIfHx8UOHDp07dy4auSckJFy/fj0oKGjYsGFhYWFutzsgIIDjOEVRpk2blpqaikbua9euRb4gkiR37NgxbNiwESNGnD59uqioaOzYsfB4CzkisUFuGbQ0Wl9fHxwc/M4770ycOPHWrVsrV65EcV/z8/PHjh2rKMrQoUP1en1RUdG8efOWLVt29uzZQYMGISNBQUEFBQWnTp0aP378mDFj/vmf/zk7O3vQoEFaX9KjRw+tUxk+fHhRUdHvf//7oKCgESNGxMTEmEymf/mXfxkzZszo0aPj4+MrKiqmTp0aFhaWcPzEjcyM8eMnjBjx9riQz+tNls7AnSAtGG4B8J48GT1wYK8tWzeWlOarIOzevXXnzs2TJgXdu1cBIG4KW//13l3vj33HZmsEENevW717V4Sq0jTTTOAGLYbqM5BOwf0RAHMhMW7+/PlHow9u3bIx6dz5ufNmrly5XJKEPn3f+mb/V0Hj3pMVfsPGtdu2b0m6eHbSR+PDwj4D8KLzXCh84DNHpefyk8gPgjtDddqF0+4mzG0gKTfhxV2EnvZZaLaNZls4b/PPKixjYxkbSvM+O++zC2yLwLaIXvvPKgLfSjNulnFJhBmYZoZpI3l3G6EjCT2JmzVwpwgbTRhANf8ocHd7dKyvWRHbUgvL8+4ZKAy/c+deTV0tirFXU1MjCIIgCEajEQU+LS4uNhqNAFBXV3f79u26ujoAMBqNiOIDwzCbzabX66urq9Eji8WCYRgAVFdX37p1q62tDQBqamoQXOr1eoqiUNpmszkcDgTiNE3funXr3r17PM+zLKvT6Tps0ZEkqb6+XmMFMRqNFRUVtbW1AGC1WlEtHo+nqakJoT/P816v12KxWCwWj8dTV1eHpheNjY0sy/I8X1VVdf/+/aamJoqiHj16pHmlkCbCd7vdrtfre/bs2dTUhNqm1+t79epltVrLy8sFQeB53mg0ms1mkmJAVaqr79TV1RxNzb9X39gZuKN/BUnGIyO/Xrv20ybdoxkzJ929X3bo0J6vvgofN25kdXWRJFFhYat37Phi7tyPb9xIYRj3guDZ+/btVFSSQBwDv76Re3VtvSBhqUkn5s+fu3LNkpMnY0HiDx3eO2fudACxoPDmqHeG1dTeAeBHjAzMyEwBkDaFrf/88+UAtAczYriBpsy/BPHZc/lFpKsjd4fXhZF6iTDT1vui+45dV6yruV33sKLu4a2fWSrqH1XWP6qse1hR+6D84d2S+7eL7lYV3Kv+eeXWnczbj0pu3y2sqyloqC+7d6+szXRfdVX5+9xxwkgRNgrX/1hwpxmry9kgcvYrJbeKa6yIWwb53J/ciq5dWvRqeGLr9w+SfGn0XqqqPoUuBvx4Y7RHHXY0diCQ8d8E6f+oA6+A/4bFzmgg/Vvlr+lvob6+/pNPPtFK1dfXL168+MlSiH5AVUGWxfNFD6se1jwF3D2YXgXizJmYTZtWAbCFxddWfxYSFbUvNvZAaOjchw/LVZX+au/mmNivPZj5/aCh/ft3f/HF/zh//jg6vYZjTc9yhNv5gqqskpfOJ0ydNkkB39y5k97q/reXX/2PvXu3AjAul2nMmCGSREgSYW9p+HDiqJ49X3v11T9ERn4FwCCWBY3Y8rn8/0AI0oRTFs3nfiS5/Ok+d7uvxUM2efF6EreV1hqCd5zsN++rgJlf9Z2x5+eVabv7Td/Tf8aXA2Z+haT/jC/7z/iy74xdP6sMnPr14KlHh0zeP3T6noCpuwMXHFiz51hLa73PayFxM4rEhMCdxHTw40fuPq8NUf4WPECUv6D67Vv3Z9nt7AzqD9524Nv6QQ6DJzEUnspt0BkDjGa/A6eY1nhNR3sF/yp+EPr9FTq8fofV3Sc7M404TFGkswX3nwLuGKEjSBNOmHnBzbIujLCJMoGTNp7HWdbDcW4f66CZFh/bynJtsuJmOScAoyg+SSJIyoqTeorUtzPF/5rA/XZdvQe3LJz/8cFDXyvA8IITVFoBQpFwH2OXBBfnaxV5J4GZJMElS04An6rSAAxOmNGWdpIw0qT1maPSc/lJBIE7TVoZ0ihJzUeSyy0OvY95ysxMz+J6gW5scVuXbD761ckcggOQlV+Og17jxUG3P/OlgCqgcTVQPCg6EpbvvrDn2DVFdnjpZhRDtcvgjpFmijQobPOVosr8B+bHr/F/QSi7X/OFRu4o/fRgHRhuIkiLy633+low3IQTZjSdIikrQVoQWRiGm2immaSsGG7wsXbGa6doG0XbcMKMimP4M/a5a/QDGG5QBMvZm5VGY42j5dG5k18DEBLvlKVWRWkGcIFiF1kjKHZVtIJiVwSLxJlAbQFoBbUFJJsqWkGyybwZJBtINpCtimACyQKyVRXNSBTB5H8Lik3mjaDYQLaCbJV5o6bvXxAki5ajpRXBpIpmVBBZ1nRQWiur5YBkAcUm+HSg2NpvkTw24m9ZFc0SZ0CaMm9EVaMWKoIJvZrMG9FbaC1pf6Q2g2ITWT0oNkUwab+gNkuc4ckXQRb8m/RdWrF91/jHyu3f6omvgT5ve6uQjn8DJIsqmgWpWZKsIBmA1/OiHUQjcHWK0sLKNpnXA29VWavCmRXBorDNkq8FWIvKmiXOJPMEQGvU5RxDq57ydjrjxHCTmzBxXivlaeoxYQtOsZwktvsUuiQAGjWljEJgg6KqsqrKKIFyJEnQHnVIoHSHwZ9mCtqj7yqaC0Fpj7vdtXYqIAJIqiKpAKCKAJCWe2/i8ihQCYr8jhWSIixUF06oPgf3n+H68eBOUlYE6CRlRceUPJgeLbS6PQYE3ARpcbmb0BFKt0eHzlg6XTpkx4MZCfKZbRlEuxX96QcQt8z2E6XHrz88kXU3KrkqMqX6SGpZZFrp0ZSygxeL4jNuH75UEp1WeeBCYXRa5aGk4qMpZYcvlURdrohMLY9MLT94sSjmyq2YK7cOJRVHJpcdvVQanVpx6EJRZHJZVEr54YvF6DY27dahC0VRKeWRyWVIjiSVRKdWIP3o1ApNM+Zy5dFLpSg/5nLlkaQSTRPZjEwuO3yxODK5LOZyZXRqBVJARaJSypEpVBxlHr1Uiuwg5aiUcpSJakRFolLKkZHo1ArtLY5eKkX6hy4UxadXo0qRPrIQmVx28HxhzOXKmMuVqFLUeK21B88XondHrULWUBUojepFH0R7QfQRUDtjLldq74teELUKGUFvhApqLUe3SAfpH75ceTS1Mur8zehLBUfT7kQnlxxLKfzm0q3DyXUHkorirt6KuVIdfaUo/mplTPrtyOtl0ddKo65XR2YURmY+OppcEJGQY22x82TzUwYNHtLMMhbS3djrowhWUGUAUBoutiwAACAASURBVCUAsUuieQU0OOY4n/aLEL8djh8DuqJIWg66RZzFPM/7Tdm1vkFSVfn7zglUpGvtVP3JkVURANLzH3y0IvI5uP/qrh8P7h5MT1JmirY4nA3aOXt0Sp54zPvY7qZ4fFYecUMyXpsWYvsZbhx8kvIXgfuqyMLNJwrDT+RtTsjflFC49XT+F8evbzmet+Xb4k0JhZuPF4WfLN18vGjLt8Vbvi3efLwIyaaEwk0JheEnS7+Izw87VrD1RAnK3Hy8KOJU2ca4vO1nKjYlFH4Rnx9+shQpbz1RsiE2N+JU2ZZvi8NPloYdK9BModuIU2XIVNixAlT71hMlKDP8ZCmqa8u3xVtPlGz5thiltVahBmw9UYJKhR0rQA3YGJeHGrD5eBEyq0nYsYIv4vM3Hy/6Ij4f2Qw/Wbo++ub2MxVIc9vpclRwY1z71wg/Wfp5TE74yVJ0u+10+ca4PKSM3gWZRS+1/UwFso++CWqGfxs2xuVFnCpDyqgBqA3oc6HGa/Vu+bZ4Q2wu+iBfxOejb4u+Bnq1DsZRS9q/VULBrlOF4Ql5G46XbT5WuONkyYpjlY66Snvrw6Jb+dcKS68V38gryM/LKU+/mlqeVXQ9+0ZO/vX8W3dM5iKn6ZboeeoWXtyMUxaWseDO+rcmhvMSYlrlFJXtknTwuKLdbgEBAYGBgYWFheDnuUU6T/LCoqVH/5hCqJ8QHxNG+v/HR8UlSehqO2UFVFlRJFlRFFniQIX0/HsTVxx5Du6/uqsrI3ez26NDCUTm7nA2EI85VfwhHo3okWfG6WqkaAui/0WlnhW4P0kcpgiWxOwKg8WpIj53NLQBUQXuuwga2pxXldvT/rNgRfK/RUMhNFZ6cmbtN0FWOsy1/fPVJwzKsqiqsn9x/5GaZkqbsKN8nmd/cJrvP7XvUC9S0xrQoUZ/g9prdjDyg2lNX2uwfxX+af/bJ9/0yU/0ZI3a73dFVFlSZFBFkHgEFqIoHk/Nc9vKkwsqp66JentOwtvBUe/Oi3x73pFhwYcDg48MWHo4MHjn4EUHjqSmq5zdRxpbvbqngzvvs+HO+h4Ttnh5SVJEgaW4rl8sy3Ic5/P5ACAtLW3y5Mmqqrpcrj59+jAMAwBVVVUnTpxA8ZkNBsP58+eTk5MdDkdsbCzaOCcIwrlz506dOlVTUwOgXL9+DX2EkpIit9vN8/ypU2fOnDnb2uoAAIqiZFnscit5kWc5nuUEQeA5BlQ5Pe/OxBWHnoP7r+768eCuhVGlaAtJWSnaxvEOD9bOmYWAG8NNyMmO4SZecCoqTtE2grR4fc2oY/A8O24ZtMXeH9xRJCadheREUFVVlf2cn48XplQVZNl/QRtUFRSlXQDaf9HaviDK/qtcqt+6miSrKOGvo6nxguSfqZUSJcVfTf3+Qp1mU0twvKh8P2K2rLQXkWQVPdKU/TX905oCKt5huQ49RfkdlDU1rdn+lhX1ezqooJbZYQESNbuDcgfL6KN1aO2TdtA/piLJoAKKYCADJGRWFd+uHr8y6krJQ0kFFQBkUQKJBwCVBxlAFCtrWyatOl1S9kBibRRtfwq4Y6SZ99koV2PPD7cynCjKgsjRPC92STjOJwgcy3p5ngWAy5cvz5s3D/3VvfXWWwBQWloaEhKyfv365cuX5+fnb9q0qXv37kuWLFmzZs20adNCQ0Pr6+v3798/a9asWbNmrVy5vKGhrnfvXmjYPnbse1evXo2MjPzss3Xr1n2+fv2G5uZmAMXrI7vaTpbn2oN3cz6OpVRFuJJbNWnlwefg/qu7fjy4o2gbOGEWJTcAA8D4WIcoYY/p3ZvdHgNF272+Nq+vjeWcDx+VbQ1fI4genPguftOvYeROeqz+AbLrGttUAFCltOSUK5fTFVkEFcXPk0FVvhNZ2rUtotlsAlVRBP57jxQZVEVVJOXxUFeRRVXpOPZXZBGlUUJTUPwGyLIkwBNDV/mJgbZ/EZTmH3tm/UUL4IAsqH7jX399UeDQ0+/MPp6jdHgL5YnZg2ZckUVZEjaFbfxuKN2+Xidrae1FtBrBb0rkr+9vAZVqL/v9+VN7e55op/+7Z11NS0pKAlUCWQAAUCVVhWNXyjIzcoJConkAUEQABRTggRYAZABVBpAlrwwTV526lJ4NgvkpwWQowuIhTILXSrsbe3642ceKoswJLMGxdNeEZ3ws5fWRvOCVZbGkpOi3v/3tzJkzp0yZHB8fC6Bs3br59df/tmrVigED+s2cOX3jxs8TE09TFDF48CBJEhYsmJ+QED9o0AA0cZk5c3pyctLhwwcPHTqQkZG+ctVSvV7/0ksvLVy4cMGCBf/6r/9aVFQAIAmit6vtZHmGYynUYIElZIlNuVH+HNx/jVeXFlRJyqoCdS3r4osv/q5Xr7+OHTu0trZaBYKkrLzglhVCFPFDh3YdOrQLwHfnTklgYE8UVZVmWjDcgtZUfz3grorW09fL6m0kByCCsPqzNZsjtgkgtbqcb/Xs22dA/4B+fQtLSyRQRVX55tDBzz5fb7E3z5o3VwbgZcnLc8GLFl6+mr5x8yYJ1JqG+jXr112+mv7SX1/tN2hgr759Zs+fd/rc2T1f7+Uk0eFxT/x4sqgqgiLLAKKqyADfHDr4zaGDcnuEVMXLc2vWr3vtzTcmfjzZ2mJHmfdrHr0z5r3e/fu9+vprWTezZYDb9+/99l//5fylJAnURoN+TvB8ZJMVBWSKlyUZgGDoN3p0X71uLapryPC3J0+bihRmz583cMhg5FGSQK1ranwv6P3e/fu93u3NtIyrC0IWtbldyGbIp0tu5OaMem90915vpWVcDfl0yZDhbwuKLKrK2g2fZ93MRm3r3b9f34EDSirK+wzoj8y2OB2Tp03t1bfPq6+/Fh0fJwNU3q4OHDb0jR7do+PjJFBtrS1/796t78ABvfv3G/HuO7mFBf0DB73Vp3dAv75jxgWlX8tc+dkaGUBQ5I+nT6NZnwywfPWq7LxcGaC86tYLv/mHzBvXZQC92dS911u9+/frHziooKRYBkhNv/LSX1/tHzjozZ491m74fPeXu7Z99bWoKg5X20t//ds3+76UAOKuV9+4mjt2caQErCJgEvCqBCrwICkS8supACpMWxeXmJ4O4LT6mv5bcKdcDT0/2OT1cYLEsoynqxGOGK/Hx5Ki5POxJIB0Iztz2LAhZWUlf3/jr/fuVwNIa9etWhQSfPde1Y3szIbGmtVrlp88lQAgBfTuASDNmz/rYtLZQYH9kDNt6tSPb9zIam62BgWNXbV6WWxcJIDy2mt/LS8vLy8vT0q6gBMuXmB8bJcjMbEcIbCYwBIsRwksJom+pGtFz8H913h1ZUHViBNWRSUjI7+aOXMCx2EFBdeGD+8vyZ7GptuFRRklJdcBvFu2rJ0x48Pa2uoHDyoCAl5/8KCiqOgaRbWwnNODmXHiV3KIqT1A9slrJfVGTAa4cDGx11s9/vjHP74fNDo3Jzuw32Ce551O5/Dhwz0ejyAIs2fPvnr1Ks/zAwYM0L7ewIEDr169umDBAgzDFi5YVH3rdsql1Plzg0EFnhUETkxLvTJz+ixQobiwZMzosX5+EAAVtoVv37PrS0VSQQWaZMK3REQdjSZx6vq1G0uXLGtpbm2oa1y8KPRWRRWBkc1WO+vlQIXTJ8/8wwu/idi6DVSwmm1DAocia+2/j+2zXu7/+Yd/nDJ5qiKpdlvL3197Y0C/gYqkelzYiLdHvvLSq/omA6iga9QvXhRaXFiCuXGXww0q9AnoS+IUqCAJ8sjho2of1V04d/HdUaNBhVEj3nnlpVcNOiOoMGni5Lyc/P59ByiSKvKS2+nx0r6gseOsZpssKh+Mm5CXkw8qYG7cS/uqKqsXLwp99KCmrcWx6YvNiafPNjXohgQOBRVkUWEoL/pdMP+Tr7/aByqUFpdNGP8hepGAt3qjV5s1Y3bm1WugQFxM/D/+5p/27PoSFGisbxrQb6AsKs1W+3vvjlFlOHzwyLJPl6syyKIii8rZM4lLlq0GgGazqXevPiJNAEBCRvXlG9nDQg9JoIAMPvDKCkggAc8qoILMcpwA4B2/Mub8jXJgWn1Y55TOHouHMIk+G+Vq6DE+zMfyksrxPpzjiK4JT3I8yXg9HE8DiCmpF6dNnwygPHx0d978WffuV8fEHg3b9LnVZjx/4czRyIOhSxaePvMt4yUQuM+dN/PEyWNz5s7Iz89taKibOvXjmzdvACh7v949bfpkFUSXy/H++2MePrxfV1ezbHloSWk+AO9ju9xOlncLnFtgMY4jJAGTJOZiZuGUNc8XVH99148Hd4zQEaRFUaioyINrVi9XFcHtagno1Q1AjIo+NPq9EfPmzywpzT8aeeBf/+2fg8aNLi3J/5f/849j3hs1csTQL/dsJ0k7SVkxovOFqV8c3FXReiqrtM6KNTYZx7wzIiYm7mhkLIBi0De9PXwkAKiq2rdvX1VVY2Nj0fleDMNeeuml8+fPnzhx4vjx43369CktLR0wYEBERATa0nDlyhXEtp+YmIhWxoKDgxMSEgYPHmy32zscbYuIiEAhBwAgMTER8fgDgCzLhw8f3rp16+zZszWiaXSZTCZEZjdnzpycnJy2tjaNNxQ1GB5vhKAoavTo0TExMTt37pwyZcqVK1cQLejMmTOvXbvmdrtHjBiBbi9cuKCVBYBevXp9/fXXiYmJiYmJr732mtVqLSkpmThxIgC88847aWlpqMZJkybl5OT07dv39OnTMTExOp0OAPLz8z/44ANFUTZv3rxnz56EhIRbt24BwMiRI1EC7QkZPnx4Xl5e9+7dU1NTT58+ffr0aYZhVFVdvXr1yZMnVVV99OjRvHnzTCZTSUnJ3LlzCwoKDAbD/Pnza2pq9Hr92LFjVVWdPHlyZWVlY2Pj6NGjUeN79+6tKMrx48eHDx+empp67ty5dtK9qR9n3sjBnK1DhgxRAQCUuMyqq9dyR4VGgQoS5+V5kedZL0dKHM9zDMuyisCD4p2yJuF8Rq4qYxjZ6VoR624jPHovh7PYvV7vb/IJoiQxLO/qauBpLSi2z0sCSHm5N7dvC1ckGVSxtKRgx/atqiLs2hkROKhf8PzZAFJszJHMjMsk4fp0yUIAceeOrWWlBS6nPSho7IAB/S5cOIfWljMy0nft2oGWl+/dvf3e6JGDA/tnZlxWZE4Uabbr4E4LNO91qz5c5GieJ0WRvHQt5+M134BKMD4LTlgx3ISCdVCEBUD/HNyf2dUFtwxtdHt0AN7Tp+Nf+st/bdywdtHCeRERGwHEjMzLYZvWz5w15YMJY7/au3PX7ggA8dGj6lEjhwJIAFLPnq81NNxmvDbyqdSpzwTcay0enGDCN2189933gsZ9SFNEs83yhz/+6YsvvggLCwsPD1dVNT4+HgV7IUnyP//zP5cuXbpo0aLg4ODevXvfuXPnN7/5zfHjxxFwZ2RkvPjii8uWLQsODiZJUlXVGzdurF69OiwsDEVMVBRF28QWERGxc+dOlD537lxwcDA83tB28uTJHTt2zJ49W4sOBgCyLNtstuHDh8uyPGvWrOzsbIIgNOJS/55DURSapocOHWo0GletWvX555/X1NQgCuhZs2alpaU5HI5hw4YhiMzPz9dKybIcEBAwY8aMxYsXL1++/Pe//73Vas3Pz58yZYqqqkOGDHn06NGaNWuqq6vnzp178+bNgICAxYsXT58+vbCwUFGU27dvjxkzBlnbtGnTJ5988sknnxgMhlGjRlksFq15w4YNq6io+MMf/rBs2bKFCxd+8sknJEkCwOLFi0+cOIF09u/fv3v37ilTply/fn3cuHEHDx7cvn27LMt6vX7kyJEAEBQUdPfuXYvF8oc//CEsLGzDhg0REREAkJCQ8Morr4SGhqKAPAAwa+b0a9m5NO7+93//99TLVwCUY1m3b2TnjVh0EFRQJZamaUFieYnmWK/PxwCAzPsAvBOXRyVlFYCCP2ULL+5tdBP1ONvWit3rPnk3xtMgu1kfI/KerookYALnlgVSlWhQOYmnQGEljgdJlnkBzclUUUJLzKDIIIkgiaAqMs9paz/aCgTP+dDahiTyksjzXgYtHaHlB0X0STwj8YzI0V0SSfRxtEcUaVYgaaZFUaik68UfrDwKCk7SRjRyJyg9CrP3YyMxPQf3n+P68eBOUAacMKsqffp0fO+A7sfio2JjDykKk3Tp7Jy500+eOrZrd8T7Qe8eOrwvbNN6APH27eLhwwfKEguqEBDwhsVSS1JWD96p7/JZgXuN2a0CsDQxZcq0mbPmfbZm1b27t1//+5vnz59/8cUXb926hWJmhYaGAoDL5UIRUQBAlmXEvhkQELBjx46ysjIAOH/+PMJodCHMHTt27P3797Uc7WlERER4eDjamHzmzBlt5K4oSlRUVFhY2OzZs3NycjQ+OACYOnXq7373u48++ujPf/7zyJEj7969+/bbb/uTDmk8EyRJ9unTBwAWLVqUlJTk8/mGDRtWW1v7b//2bz179hw1atRvf/vb9PT0hQsXpqam+hcPCAigKAr1MSNGjGhqaiovL586dSp6X7fbnZ6eHhoaunTp0vz8/MDAQH+6jqqqqvHjx/vTKB08eHDHjh1Tp069f/++pvn2229nZWWhWAhavaqqrlix4vTp0ygdFRUVHh4+ffr0zMzMjz/+ePfu3Xv27AGA8ePH/+53v/vwww//+Mc/jh8//t69e927dz979uyf//znu3fvqqp6+PDh1atXI7MokPKsmdMzb+QwhOcPf/jD7Tv3FFk8lnU7Kytr9NJDiiQDsKLIiwrrkyhJ5GVZ9LI+SfQBMBOXH02+lg+i5yn73FtIsxc3KT6bp62674TtlI8FASPcAuEluySkjyB9BOHFSR/hJj2kj/IJPEaRGNNG+JxeEXdTLYyAcQrFCBjGtDGCG/e2UpzTK3oIXxvNuyjOiTEtPtlL8aSbduE+DPdhBIv7ZK+LcjI87SadDE9xsg/3ukjWQ/jcuNdB+NxdEpy1MhLuYkjS6+NoQvExFzNLJ6+LA5UgaSNaWsNJHYabSNwsy43Pwf2ZXV3xuesp2iZKWFTU3hUrFgKwokgCsDt2bFq+fJEse2tqbo8cGRgdfWDVqlCKctbUVAUG9gJgAdi33nq1SXdHEF3EM2RP7NwtI8kAqrR3774vv/pm+rQpWdcyRox8BwDu3LkTGhra2NiYlJS0ePFiVVUxDBswYIDG/BMYGJiZmblgwQKHw7FgwYKqqqorV67MnDkTDZwROykAjBgxAm1D9g+/rijKrl27EAx5PB6SJNevX5+QkECSZHZ2dmhoqNPpvHfvXkhIyJ07d7xer9vtBoCAgID79+9XVVUZDIZ+/foVFhb2798fAFpbWxVF0SYHAEBRFNpC19TU5HQ6W1tbx44de+zYsWXLljU1NTU0NOzduzc0NJQkydDQ0Fu3bnm9XsSK2rt3b4qiUCOHDx+OXh8B8fDhww0GAwBs3779hRdeQC4pkiRpmm5raxNFURu50zRNEATHcTt37jx48KBerw8JCamvr8cwbNOmTSdOnKitrR0+fDjCca3DW7JkycmTJwEAhQwLDg4+dOiQKIrR0dGzZ89GzevZs2dDQ0NVVZXJZOrVq1deXt4777wDAHfv3g0JCTEajUePHkWUeQRBuN1uVVUXLVyQlHrFZtIPGTJElBTklsnKyvr4ixP7930TdWSvLIvZOVkfT5sAKnCcb/jIEW53MwA1bunBi1dzQCLpzoOxEFQr7qznfCYnVjtgSsSNkgof0QRYk9fR2CXxuRrJlhrOrefcerq13utoJO31rMvAtJpYp9XbZmZaTXSLkW4xUnaDt81MNutRPm5t4lw2usVINus5l420NfjaDILb4mszeFv1vjYD06JjHUa6Vce06Zk2PdXSwLoMvMdE2ut9ziavQ9c1aTPjdj3rsXkdOqatwdVm2RWdOD0sBoBCI3eCtGBEE4abKMLyfOT+LK8u7nO3AlDHvz0UFrZSUSifz0lSzSzr2bhxZY8er/7tb/81d+7HqurdsGHFa6/9KfXyqU8+maaqNMe5J3w4Uqe/7WNbna7GXyG4t7S6hg8Z9J//+cfuPQLu3qm2mI3z5i9A8F1dXb106VJFUebOnZuYmCjLMhpfI7bRGTNmpKWlbdy4EQAePXq0cePG5OTkV199tU+fPgEBAePHj0dj6uDg4Hv37vkjO7qSk5P/8pe/BAQEjB49WpZlWZaXL1/erVu3CRMm2O12VPbBgwejRo3q06dPjx49srKyZs+erTnHP/nkk7Kysu7du/ft2/f111+vqqpC+WiAzLLsrFmzNNw0GAxLlixJSEg4duwYspCXl7du3TpFUerq6kaPHt2rV68333wzLS1twYIFLpcL1R4SEnL9+vXRo0d369bt0qVLISEhVqtVVdULFy780z/908OHD0eOHNmrV6/+/fu/+eabiB/78OHDmzZtCg8P79mz59///vf169ejFy8tLR06dOibb74ZExOjKEpDQ8PMmTO1T4Gq27ZtW1JSkjYRWb9+fXJyMgDk5uauWbMGALxe7+TJk7XXRMF5EJQDQHl5+caNG1NSUv7yl7/07du3R48ec+bMAQCe840d/2HujWsLFy7UfO5Z17OnfHF675dfn0iIAhUKCnOmzZwMispzzHvvvety2UTFM2HFkeRr+SDhlLvTvyvK00qRBi/dTHiMm6OvztpyJCIh9eTljNOX0rokZ1Iun0m5fOpSyqlLKaeTUxNT085fuXoyKTkx9fLp5JSTSZdOXWpPn72cdupS8tnLqaeTL51JST6TkpyYmoJ+TyZdPJN8JTEl/dvzyaeSLp+7nHH6UtqppMuJKemnki6fTb2amJJ+8mIqykSapy91Tc6kpJ5OTT51KelUSsrx1MyNB76dvHLHhZJGRfIQVPuCqgbuzxdUn+XVhQVV3IQ4ZHjBSVJWr68F0YFxvMvra5NkXAWK410AtI91ULRdUXEPZmS5Nq+vhSAtouR2unQ00zlHxzMC9xqzW5IBZGHHjl0R23Yhf6Ugytppb7QumpCQEBIS0tbWhsI3gp/3XKOJRscIATrydGpodf/+/X379sXExMTGxh4+fLisrOwH6Z3RzMCfQ/RJOk/UGfg/4nk+MjIyMjIyISEhJibm2LFjWhGkiShH/HlDO5BIo0f+mWgqoD1CLNkdloU7HIuPjIxcvXq1FsAA/NYDnmRdRY/8SUy1jwmPJzpace2R/xF81EJtLkXT9JNEraDK/QOH6uprHrOkKgnX72Rcvzky9DAAgMJ6GUrgGVGkgeNB8vm8BMg+AGbCyuhzV2+C6KHwThdUcY+F8lp9bjO49DSORabmfrT+2/FLo8Ytje+SBH0aN2HF8feXxAZ9Gvfhym/fC4kK+jTug+UJ7y+JfX9J7MRVJ9BTpDx+2bGxoVHjl8WNWxo7fllc0Kcx7y+JRukPVsQELY0ctyxqwsrY8cujg5ZGjl8e/cGKmPHLo8cti0L5E1bGvv/p0Q9XxY1bFjV+eWyXZOLS2A+XHx+35NjEZQnjFsfMD0tMvnkHQPHSzR686bnP/Vd0dWFBFTcTmAkFpvAyVhzTY24DTVqdLh3HOxCCe30tbo+Bom0s10YRFi/dTBJGHNPzXAuO6UncjHueEbJ3Du61Fo8KALKQl1eQX1DSfnwGAB6jiQYlcXFxyCkB30eoDlDuT+msKSBMLCkpWbhw4bp16z777LPQ0NAzZ850Zk377cAvrSGpP7M0yvf5fBs3bly1atW6detWr169bt06r9fr34wOqNrh7TojhfbvQjp0J9pcxJ/npLS0FA23Eez6G3wygkKHLg2+f3WAdf9G+nNl+9v0X5/w6waUozHxHkcLAEiyCqDEX6vOyM4etOArnucpopnwtNGknSIsRKuZdBgpT6uPdLk85ncXHbh0owhkN8N0Cu4E3dBGNWGUxetpUFgDgEuQMFC4rhJyAUiSjHgv/Fm6BABJEH0AEi94HzM7SrLCo60KiiqoIKogKqqAnqqgiLKAjhVLiogS6FQe+BEz+H35jqfS/jthOdknAC+DVwSeA5AVTiYMBGbCCB1B2jDchMCdwEzPwf1ZXl0Cd4qwoJBymEdHkSaaMuOYHnHOIG4ZD6ZHbAQ4YfQ/1NceiA43/2rC7H0H7o9MLnRCFdpPqyuKLCJ07xDX5SmBVuD7iPODjP8d0LPD0w6ltEo71OJ/qw2r/Uv9YM6TzUBXB9AE6Di47tC8Jw12WEX4wRd5suoOnUQHWP/ByUqH4b9/e9THl38t3/unUSTE1Kgo7f+wMVcry+7eGrn8QGx8VFPDLYvpkb6x0mSobGm6bW2sclibau/fPnvu23cWHqxqsMlCK47XdvZ3xWBmgrI7KJObtmFuE+Zp9HIGnLR1Er26U6EJE02YGNJMePQ0YSI8KNNA4XovZSIxnZcy0YSBxHQ0YWBIo/aUxHQ+2kxiOpSJEU0EpcdJHUY04aSOoPQkbcBJHUXoSLzJx5gIrJEi2o0QniaK0HVJSLzJTVtw2up11qiUCfdYPLTdQzbhHiNBGSjarm2FJDDTc7fMs7y64JZxG2jSinuMuMfIelswt4EiLCTeHvaaJq0uRxND2SjCQhEWAjMRuAGJl7ESuIGmzB53E02ZEe07Yo5E3h6SsqLzTUgQezDiB8ZwE0WacExPERaatBKYSbNPkQbMo/Mxdo9LTxE21PeQiNoXN5O4maFsHpdea2FnxGEPm+wSgJeleEHy8hIri6zEsZwk8ArPyaxP5FhJEsHL8JIIKIfnZFFQfV6B52SUI0vAsRLHSqKgoiIcK2nF/RMoLYkg8Aoq6PMKKK2paY+QJnqklUUKqAqBV5DwnIzaiZRRznPhOdknyLwgsTzHCbyXFxgRcB4S03I4ynq7oWbu1gPdp2zuMfmrnh/tfWvq7m7TtvSYsr3XlG3dpmx7d+mh3Dv1NIBMNz2FfsDBVyEgtAAAIABJREFUGinSxBJtTtLiYOschJHCW0iy3oNbfhLBCCtO2jDC6vKY3JiZ9rY6XAaCanZjZopp8eAWN2bGSZumr/0/ekKsP4k4iWaaMnrc9R5vi52wUoTFi+lp3IYCZOOEGUX1IXErQxoV2fgc3J/Z9ePBHUEkQ9mQdwXhLImbPS49TVoxt8FLNxOYyePS4x4jiZu9dDMCYoqwuBxNGjqjEB9OVyNijiRICwJxnDB7MCNF2zyYEfn0nS4dSVm1CHaa5cedh46hLbjHqIE++h9IERbMbSAwE4J1VDtqtgbuBKUnKTPIzedzqz7Zl7vo6yvLD15ZcTDz0/1Zi/enhXyduurg9cXfXP304LWVkTeXHMgM2Ze+4mh26P6M0P0Zyw5fD9mXvvibqyuOZi89lPXpwWtLD2WF7EtHj1A+Khu6P+PTg9eWHb4euj9j8TdXlx+5sfRQFtLxN4XUPj14bcmBzKWHspYfuYEyUX7IvnRUCzKyMvImyg/dn7HkQCYypd0uOZAZuj9j6aGsxd9cRbfPJXRf5tJvMpbtv7rsQPqyQ5mh+6+tji/9ZN/N+3cqdRbDHYP+nsXeaPM0mjwNZldDC241uo06q97seGBwWFsc9w12H2H2EJ3OOHGiDfPoCE8TTdoZ2sjizRLe6vMYvYz1JxGGtqBf1teM0l7GSpEm1teM/l+wvmbW10xTZi9j9XltPtrciVh/EhGYFoFp4RgXRTkZxun1NbtoY7PXSuA6LUA2QZoIzEIThufg/iyvHw/uCFI1eEUYSpNWbQxO0RYPpvf6mhHlrwcz44SVIG0ezEwzLW6PCfX8iEKSIE00Y0U0kx5MTzNWxDrpdDUiDmEt6AfSQZkUbXG59QRpYbx2jNChPwyvr8WDGTG83R2EuhyGsqFJBupU2gfvPwTu0cn3r5QaknPvp+bUJufWXSqouVxYl3Kz9lJ+3aX8uou5NUl5tSmFDedvPkzKq0U5F3NrUE5yQf257AdJebXJBfXJBfWX8uvO33x4MbcmuaAePU3Kq0WCNM/ffHgpvy61qBEZQUVQqeSC+ou5NSidUtiAyl7Kr0NltSpQM5CkFDYgnZTChpTCBtQqZBDlP5dL+XWp+U0puXWX8+uTsu+nFdRdyq25lFOflNt0OtuQmK9PLKi9mPcw+Ub15ew7Sdn3z+XXnMixJebUJubdTsx/cP7G7Yj4TL2pgeU73QhA4I9IyuqlW72tzZS7RuaaOckiggNUy08jYFUVsyKbVMWM0gDNoFpUxQyqBcCmKmZJNCiySZFNsmRUJcPPKoqolyUjSHoQm0A0iEwT+Ky8s5bAdQRmIkgLiqGKe8w0YVAV03Nwf2bX/8Atg3wvCDpJ3IwII72+Zh9rF0SH09WIaIFRsA6N2x0hNcJfl7uJ8dpZrk2U3DRjJUiTB29CYZsQgqMijNeGimuCugFJ9vCCU1bcjNfO8Q6Od6EgfxRtwQgdgZkIzIS5DWj2gIb2yD9DPkEclphd0djucxcRvawCsqJIHchw248Ffj/zO97b7/PMtiujTI3N1p+0V5K/p+kvfhzBHalyn3ykJfyr8898LiqoCiBvvB9zJKiyIgMIiioBqCqABKCCDMCCqigAqgSKVwUQAGIy75qajRT5FFbIRgxze5w20aFrxYxRZ9JmfbZ3XMj2DxZ//ZPI+JC940P2Tvx0/7hFX00I3Tdu0VdBC7/8cMk3E0L3Iflg8dcfLvnmg8Vfjwne9f4ne8Yu2P2zyrshe0fM3zV+4a7JobuDFm2f/cWhs5mZXk8dTRn9wR2N3J+D+7O8VPix4O6lm5HnGo3Zv+9maSZIy9RpYxC1L800u9x6jNBRjMmDNxGUAaUxQufGGhG7pChhsXH7duz8XJI9GG7ASb2PbXW59RodvBbVDx2LQEu1OGFUgTh1OvKPf/w/129c5HhXWfmNT5fOUYEiKasHM+KEEfcYvXQz6odI3IxcNMgt4x+JSeNzb7BiPIAEMitKXkEWACSArJt5W8K3dgRe9TsycVFuZ2BXQKUYmvF5UdpfX5BElGB8Xk7g/Y2gQ+KaBXT75CNZVVBFkiJ3aIMHx2RVQTVqT7UGaM17LhIA+jeVAUSQRFlA+aBQoPraAQRx9IMqgyQDACggC6CoEsDhtBJbm4UjO12op4hmnGhjWRPdeufrs2mLw8/FXa2/UenILm34SSSnvElL51Xqc8qbbpY1Zpc2ZBXV+j+9Wdb4y0hWee2NW4acCtP1YmN6hXvvxQfB6w/nFt4WeLvmlsEJI4lbn4P7M75+PLiTuNnt1CEvNnJ6eFx6nm2TFQKAEURPj54vYbhFknEAWlFJlmtxuZsE0QFAKKoHJ4ws1wJAyArhYx0AzP79O5csmQPAeDA947MAMNt3rE+7ckZWCGTTxzpwwspxbkUlGa+doi0c78i+mTJhwiiPx4bjts8+W3z8+NEJE94FYFSgZAVTVNxLN7scTZpnBv2ijToUacJok+aWUQTLqazSRkObrCqK6Nu+NfyNN7p16/bGtKmTTh8/FRK6SFYlFRRZlZBo6cfhK9olNj4mPiFOu9X2n2m70BYvCXnplb8MGjxQAVkFRZB4fwV/fZTWtrIpIHfr8eab3d9At1obVFD2fLX7enYWMohyUClJEVHmc0HyePz+HZc9qAqo7XMmFRG4A4ACIAPIIKONsI97gMgrhdZWM985uJOYAcPqaNaIOxqHL/oy56FZAAVE/qfqnLRYK+oTc0XliSAn/qFLfiYBVVJAlUGRZFYFyQew/1zOgq3HVcWJFlQRuFOE7Tm4P+OrS+CORuvIxUFgJll04x7j8eOHjx072Nqq69Xrr6KIP3xYHh399blz8TTdCuCtrb2VkHDo22+PyDJptzcmJByK///Ye+/4KI40fdzecLe+27vd/e3t3X537V0ngsAEEUU0OedkMpicwWBjbGPAGDA5B2OSQCAJEKAIEiigLJFRDpNnFGamc/d07np/f5QY5MCu2INDXs/7eT769HRXVdfU9DxTeuut5/16Z3V1hc9HLlgwc/fuLYbB0oxNkqvLyu7s27fZ5Srz+dxHjuw4cWKfyfQAQEhPTyooyMvMuor3xyYnRzdr9tqlqAizufDGjbirVy8PHdoXQE5KunL8xJ6Eq5EAjOSrdteU4X818P8ZP0juOBTSbCdFSfly47rtm7cBwoF0RsSZyFmz5xoIEq4mhkecz827hZ/sxKQbYWfDMzKzEcDN9MzwiPNJ15PvPygoLCpBANExccdPnCooLJYVLTklLfL8xWuJ13FFs8XWNrg9Arh1+254xPnYuARNR6VlFQWFxQiAF8QbyakIICs7N+xseGpaOk7YdPfegx49e/XrP/D+g4L6WZksVvux4ye9BCUr2rnwyPCI83aHCwFk5+SVlVfeun33O9/5nzSw7wtA15FeF/UOgEABUAFpYCigaKCqeH6PdA1ABlAAVA0AYP/lzAqXiWefqGZKkxafz8zytVRtRfPBayUAUDSQ4Vn9ONWfTODffjw5wOf9MwNFk/9vftQBaYYBml73YwIGRKfcG7x4N4CXY+z+mXuA3F+8NZzc6yJSHgXJ4BnxB8tnjh8/dNiwPrm5Ka1bv60o9LVrl6ZPH7dgwfS9e7bfv5c/d86M6dMmznp/amnJww9WLJ4+beK4cYMqKx/Gx13u26cHgMrzboq2a7onLu78yy+/lJR0xe22Llw4Y/78aatXLyktvfvnP/1hzJhBJ0/u1w1a1cjs7KT/+I9fjhs78ubNxC4h7U+HHpv43phbtzLmzZu6fPnsefMnXbl0EgwKu2X8va37y1hIzlI/E9PJ+Iziyhqbq6pN6xaA8MTHQGCcCwuf/f4sQPDlFxuXL122dPGS2/m3Ll2MmjNr9rgxY8PPnntw7/7s92dNmTT58MFDn675ZNeOnTFXoqdNmTpy+Ij42LicrOxZM98fO3rM9q3bAIGh6RRBtm3dBunG+YjIubPnLFuy9Gp8woZ169et/RwQFBcWdekcgnTj1ImTC+cvWLRg4eWoS4Cge9duJUXFt/LyBw0YiLlKVzVAcD0x6Rc/+3lmeobkExcvXLRi2fLPPvm0pqr6tT+/Om3K1LNnwl40oTYqGIauIgD9kXPGqKOOutx7eHcDqpu4A+iyrqsIbyYyYG9UlqnWRfueuImJoE00XSoIhOgpaDNog09REYgS8HVJo/73gLqMVDjtlOjj9+7Ztebjjz5Ysay4qAC+nbvq+2m86kF7JtB0BKAikGWQVV3SdT0+rXDYwgMABEtj1bBKkjIxlJ2lKgFZA+T+wqzh5I7jVSjaSlI2lq1SFLKk5M4777yJDBlA1XWhdeu3ERLi4i6OGzti9KihLVq8efr00VdeeTkv7yaA/OBB3s9+9lJCwiUATdekxGuxAwe+C+BjGBfLuRjWDqCOGTs8Lj7KSzpmznpv2vQJv/6PX16/Eff2W29cvBgGwDOsVdW8iYmXBw3sj3RASAwODrpyJWL69AnLls1r0zpo9qxpf3ntj9OnjAGDFbgq/4YpmjI9Co23+BdU/TP3crPbVVXTuVM7zAUIwDC0iHMXZs2ahRBav379nDlzmjRpsmnTpsmTJw8fPhwAsH5hcHAwVpT9/PPPDxw40L9//+rqanx11KhRffv2rb9v0+v14iwfZ86cmTJlyoABA7p37+50OrEu2MKFCy9dugQAR44cmTJlSq9evQYOHIjlJAsKCm7dujV06NC6VUFUl7V13LgJCQnXBEGcO3furFmzfv3rX2dlZb311lvf0X8P2NMaAgDQDAN0MDSAA1G3rPYika56ciik2UtbJMHJeCpaDPtUklXNUDVJVJ+ZyYoiyYqgaqKmKRzH/elPr27btmPnzp3jx4+vrKzUdR0hUBQNAGRZBfBv00UIIUVRVFVWVN+z6o2iyaqs6ZqiKIosKgDyleSsYQuOAKL92jIUU0EzNiaQrOPF2lPM3BkLQVZStJUXqt0eE8tWmc2FrVu/DaACSKrKtWz5xrVrl8aOHXr/fm5qSmJQ0BsIifn56cuXz2/dumlVlbmk5N6nn6587dU/mipLcnPS+/btBiAoKuFwFiuqR9OlceNHhp4+OnLUoKQb0cUl9zp2ah0TG9WxQ1td51SNrHWX6oY3IeF8926dAYGmsW3bNo2KOjt37rRly+atWbPi3r2c5OT4nKxEAJ7wmLH4AcdaGdqMPTPfIXc8czdbvWazuVePEInnwEAAGiD1QnjE0iWLvtiw7vixo0WFD1csX/rRhytVRbpxPbFjh3ZrPv7I0NXMjJsDB/RbMH/u/n17Dh3cP2hg/+oqJ546eT21yTeS3u3ZffasmXja5fXUdu7UIfrKpZUfLH/44N61q/EdO7QDMGbPmrlr5/aePboB0g/s37v6o1WlJUVnw06/N2Fc9JVLL7/0UougZi2Cmr380kvfHD2CDI0kPACGrilTp0y6FHVh8qT3MtLTrBZT925d0lKTcZt/bwYXwLfx7ZkydnED0g1QNIADlzPt1Q8E9omqkBRtJhirn9xFSdEMVRV9oig8K6iqzPGUKHG6IbMsjcU+dV3v06dPYWFhbm7uzJkzAYBl+YkTJyclXXvttddatmwZEhKSl5eHkM7zrCTzz6ozPkmQfKIii7Isy6IEIEenZI5c8nWA3BudNZzcCbISz9wB2EmTh+3cuYEgbP37d7l+PTYp6YrHY+vYMSgqKnT06IElJXfS05OaNn2VZWvu3s2MiDjRtWtbs7nw/v3shISLIZ3blZTc+/rrvXPmTNZ1hmYcb771h1p3OYA2avTQU6FfDx/ZLzk1rqKysEPHVhcuhrVp00zXGYa106xJ1dwJVyN79QpBhqKqTJs2TSIiTowZM2jr1nWbN39WUnJv69YNWzat8fHVolBFkZUMbabISpax1I9z/w65F5ncGsDZ8LCFCxdnZN+68+B+cXnZ6dBzKz5Y9dHqNUe/Oe50Va9c9dHSZSs43nfv/sOVqz5a9eFqTUf37j/cvmPX0mUrNm3+aveefStXfXT+QlRmVk5Fpdlqc9x/UPDByg9XfLBK8EkZmdlXomPfnzXn+IlTH6z8sKLSHBuX0L5DJwQgK1qnzl3SbmYggC1fbVvzyWcWq/30mbPjJ0xcv2HjwUNHEICi6l9u2rJ02QoE0DyoJcsJCGDsuAkXLl4aPWZcbt4tp6u6Y6eQmNj4kC7dsLM+gH8YYADoCHTAbplDFzNtVQ/xROGHfe6MpY7ccYJsSVR1SfFxksw/E4gS5z/QDZlhqCZNmuTl5ZWVlYwdO7qsrCQ3N7d///74KxwcHBwdfblfvz4IIbPZ3L17d0HgADSfyD6z/iicJAqSyIqiIEs+w+CjrqeMWHwoQO6NzhpO7tgzw/FOAHbDF6sizx8D4NPTE7p0adOhQ/OEhPMLFk4B4E+fPtS+fbOQkNZTp45KTIxq375Zz57tHj7MttmKOnYM6ty5ZWLiZZquCg5uIgi1CFiGdU6aPISkLMiQR48eHB0d6XJVvPtux549O7Rr1yIj4/qiRdMFX43gc5J0hSg7b6bHLF8+GyGBpp2LF8+Ii4vYsuVTw2CXL5/dtm3T+fOnCVyVInkwlXOs9bGmzbc3MWGf+6mEzHKrVwNAoIadPtOjZ69OIR3fnz0z5krs4cOHDcOYP39+t27dOnToEBERsWnTpo4dO65YsQIADh8+3KpVqxkzZiCEzp07d+HCBcMwxo0b16lTp+PHj2/fvj04OHjVqlWqqp45c6Z9+/ajRo1yu90AsH379u7du3ft2nX58uVY8Gv+/PlYqx0A1q1bFxISEhISsnXr1pMnT/p9LFFRUUePHjEMbfr0qZLkAzDGjh0dGxtNEJ5BgwZ169ate/fut2/fXrp06fcFuQL2dw3VMwlABwPA0JBPQbAvOtvkKXRzT0zW4Sd32lMaNHSNTxIVTVR8nCixzwSCjxElzicyosTKCq9q4u9//7vevXu/9NJLFy5EGoaWknJjwIB+AAYABAcHX7p8fvz4sVgdrEmTt7C4GK7+bKAwssTLMiPJvCzxmkZHXk0atvBAgNwbnTWc3BnW+mgvkk3VvLLi5vgqBKyuMwZidIPWdEJRPYpKIGABBABO0ykDMTgy0ifWGojBKK+406LlawA8x1cxrB0BDcDExl4YNqxPQUEeQpxhsAA8gKjrnKYTHO/0eMsZzkwzFkWtleRaXqgWJbeiEppO+cRaVSMBOE2jAXjM7Bxjx8o2FFnpj3P/PrmHXs0qqqjFoc2aZiC8qoYMQHUxZ/Xhj1fRjW+FoNWfLBv1KtYvjy/5a/lj2tCj8DUcbomL1b+pv2T90PVrSYmTpkwuKSutf98XPuf9ceFb3wJUDwBg6KABIAMM+PpivtVeKHLVTyR31vRtchcU3Sf7GJ9IPROomo8XKEnmJJlRVIHjqaZN3wYwkq4nzJ4zw+2pSs9IGTRoAEK6rqsdO7aPjokaNXoYgKYoUsuWQQCarPCywj6r/ggSIYmsJNGSzGFyP3/temDm3hgNQUPJHS+oeokKgqzkBRcWgSFIM8dX+cRqirZi+QGOdzKsneVcLOfAOgEMa6cZG0Vb8bEk1xKk+dLlkz6xGu9XwrtVU1Pjb99OU1SCIK284KJoOy9UE4SNos145ypJmbD8JFY4IEhz/cYJ0iwrXop+rBGGdSsZ2ozFxX5QFTIsKbfS7AYAMOQ6HyyOK1AecaqBjHp7PpH++PwPXHrEso+P/aRbn339LaBHARvfbgpX1B/tX61rDQxNlQEMRRaLiwqKCh/WuYwftYzL43aMwD7Vvw/jB6GBZoBiGAYCTdfheHSe05mv0CV/j9zttKckaNhqnyQoOi/7KElmnglEieUFQtV4hnUDyFXVtlatg2RZNJB84WL4pMnjXVW2NZ98GNKlQ4+eXV577c/nwkOHDR8IoLEc2TzobVFiDSTyAvGs+iNIhOhjMLlLIqdp9IXEGwFyb4zWcHL3z98x0XuJCiz8gneB+pmUpkx1sgRkJctY6pMsRVbynM3jLpVEl6F7KLISa7/gUEVJ9oiS2ydW482oBFmJpeGxwjCm7LrytJkkyvB53PJ3tcy85SxjwWVYxlJfOAzHuWNyB81x7kb+6hN5n51M3RSWtv5kyucn09afSV0Xmvzl6cwNp29+cSb985Mpm85lffJN0hdn0tccTfzybOa6U6nrTqV+cSZ93anUDadvrg9NWx+atvZE8hdn0j87fmPD6Zufn0zZcPqm/+raE8mfn0zBTa0PTcN/151K9f/dGJax9kTy+tA03MLnJ1Nw+bUnkjecvvnJN0m4NdwH3P5Xkblfns3EreFGcHV8u3WnUjeGZeB+BvAkbKiHL0LT/Fh77NqmM6mbTqZ/cTJ5+5m8pUdyTV4Xw3v+Lrkz3tKgYat9EqfovCKSokQ/E2BmlxXWJ2GC5h48vKMbsqr5ANTcvAwAtdbtysnNyM3LLC0rrHU7TeZSAFVWhLv38hEoksxICvWs+iMqlCSy2C0j8KyqMheupQxfdDhA7o3OnorcMedi7RdecNQJe1HWR7RewTKmOkJ/lHMSazr69d9JooJjzTRVQVMmnrOxjMXPyPheBFmJ5Qpo1oT/FaApE14OpUkbz7oe/WyYsEvd/xPCczY/y+OWGboSvxGedWCfO45z5yhnHbnrzoiU22uOZmyNyNoZeXPb2YztEblfhWd8dS5tW1jWlrD0LWHpX53N2Hzm5o7InC1h6Tsiczafubn1XObmMze/Opvx1dmMbeFZ+OrWc5lfnc3Yei5z67lMXHJLWPq28Cx8ZkdkzqbTabjAtvAsfOmrsxlbwtL9FbdHZG8+cxOf3xGZ428N3wUfb4/IxlW2hKVvj8j2l/Hjq7MZuJ3vXwrgO9gZkbUzImtXZPauyOzd53Mw9lzI3XcxZ8/5rF3ncvdF5e45m/nR0ZQqskRmixtO7qrBKSL5rGbKssLKCiuIXlmlBR+pqJymi6LEiRIryZyBZFFiVc2HHqX70HRB00XBRyuqYCBZUQXBR0rKs/tPQqFEHyPLjChxPMcoCn0xMTVA7o3RGk7uNOOgaCtBVjKcmeHMHqL0Ed2bScpC0WaSrmA4s8dbzvFOL2FiaQfp/RYFY7mxJ31JnjuenGYPAYCh1o0GGPB4m0vA/onNAE2SRIFTgJaAoGVBBA8LNT4gfeDyQY0IAOqpmDS7s1hknuiWoShHFV8uaQ6P+27QoPXmqhoQXazHxRPPFwxZB5pw1gfn/WEwxLMBTVoIxuGmaljKLXgssug+Ehk7YvnXABTNOEjqkeQv46DI8oDk74u0p/G5WxjW7hfg9YkuUarBcr4+sVrwVWFfDXa1C74aHI+Is3bgOTuW9AqQe8Aag5kIMLvhnknKtUBmJWSVqGn3fKmFKLsA0rKVxBzf9VxdVuCby/ctLofvyc+t4jZ5ODMpuNxk0YBFuzcfjqwsKWTIO1RN0XMF/STUljxXCB4L4ygVXSVS1UOhpiQ3N3vOqi1r9icAkAzrpGj7Iy1uO01VBOQHXqQ9FbmznMPtKZNkvBBqYxiXqjKC4GHZKi9hMRDDsE5VIxnGJYqEKNQQnkpDI9y1JQxtFni7wDnxXD5A7gF74Vbg0s0EFFfpt51wrwoeOuCeGd0yQ74NcovVm6VK/C2e4LVvEm6VV5VzwhNDIQXCyvLV3mobCPbMEvOUtSfeHrqx+YQ1LUeve654Z8Tad0asbTXy81YjP289ap0fbUasfa5oOWR1+5FftBu1sdmIj/8y4sOWYz5ZtPG4V9BUpYZmHDTj8JM7Q1cGyP1F2tO4ZSwYBqK+3LT61Vd/GxT0RmpK4m9+868tWrzZuvXbsbHhAMLu3Zvwmb+8+psZ00b5eJciV9OUiSQqeM6GGTZA7gF74Xan1Gdy6FUE5BYJxQ4oLFfuFkr5xXAlh84tg+RCPTbfR/jUI3HplbVFDP/EHKrVdAUhWDnaIpFFslTupW0mm7OywlpZ7nquKDdVlZuqKszVGJWWGowyh/MHUW5/NrhfW1XuqKkotdlMnkoLW2ZlBVlBWi3LWHB+nvrkHnDLvEh7KnKvdZdyvF3wVfFCtcdja9++5aWoiN69ugGoJFnVunVTw/CtX//x6o9WAKgAPOm1qLLb4y7FUSsUWfk3clEGyD1g/5eWWaqX10Jyvvv9j74+EHHLTECRAxLy+BmrT+38Jv/GQ7h6CzgZjsbkW6stLPXE50qgHCLhYL2VBOei2GofX6MLdoO1y1LVcwUvOjEEyVUfsuT8QSjiswHiqkGwgGISfeWsz8KIJlG2UUQpRVYGyL1x2dOGQmL/DC9UAwht2za/cvn8yFFDdUNGoAS1eBOBtHXbl63btNjy1cbNX37M0g4f72IeCbzgsJYAuQesMdiNAq6kBi6llPSduKrTiEXnbxRmlLAzPz3WvM+kj7ZGJj1Qrt7SvbR2PPaWxWmW2ZonPVc1PgtBuzjWWitV1FAmN1VBs+W1vIOhK54r2CcAJ6B/juBMbrqQ4k0E4RBoN0fbvISJoKsZ2lzfLUNSNpYJSP6+UGs4uROkmePtOLUpL7gUlQgObnL9evSvXvnFuPGjRowcvG//TgB185YNrdu02LR5w6aNqwWummPsLGMhvOUUWV4Xkx4g94A1Aku9rz2sgMoqiEmvGjJ1w5BJaxauPfFO/6Uf7Uu8WQCJ9yHhFtA+OBqbU+Eo5p+crIOjHhK0SaScHqLERzsZzsy6TQRZRTLm54rvTLn8YCnrD4J5RuCpWpq0U5SDoRwC6eRJO0PZSdbJMhb/girNWALk/uKt4eTOsHYc8shyNgNRCNjg4CZXr17o1Lldatr15kFvXb+RAKB++NHy9Rs+A9AARF2lSK/l0Zy9kqEDbpmANRZLvKvmFCl3TcZ9J1zMcAye/lnrgfM+OnQj3QkpRUbcfbiSh9ys/k1Cjrm2gmOf+FzxHm+Nz8SQFQJd6fPU1jLlHGt18xUsaX+uwOnmfwBM5Q+CpCtAqidpAAAgAElEQVSeCXiigqGstGCr4YrcbDnDOmmiUmAKacpE0XYcCsmwVpKyBRZUX7A9jVvGSjMOXqiurq7Iy0vOzEwaOrR3ZOTJoUN76zp3/372tGnj8/PTt2xZ9957I02molt5yQUPslTZS5M2hrJipZe6rUY/BFwAg2UsWBbmWXpy6u1Qxdoyumw9GZ9RZvHoAABanf4rQgAGBHS3/tktKV/NKoDbpZBTKJa64FxCycotEenl2o1SSHqgXr4Hl/JlWpBPJ9wttxdw/BP13AN4/P1lHBRtxwmyA9EyL96eyi2DvTHRMWFNmvy/Hj2Ci4ry7t/PXrZsFoCIkJCdfWPNmmURESdatHg9JKR1cJu35s6eoCkETneH11RJ4onpyph6Tnl8gFn+mT1/9RJk+9PshV7NKrG4dQBACpYcQUhHoAKCF68zHsDzRGyekloIt8yQU4ayyowcE6SVo1QTxJVBTAFcegiRueDh4Wj0/YqqIkZ48ezZyBEg90ZnT7WgSpCVDGtXVI+BGABeN2hRcusGzfFVXsKiqpQg1GJpRoQ4AN7QKMlXS3pNpNfEc7a6aMgnPxx+Tn8uz98TVCEfWj0ygA6GgUAHUAAUMPQXrmoVwHNGRCaf8BASCyHxgX7tvpZYDNfL4fJ9/VqhlvhQvXwHwlNoNwPHou/b3UUMU/bC2bORI0Dujc4QQMPJHatC4mhIfAkrMlK0VfBVebyVPrEWqzlyfBXHOH28i/SaBM7Jsw7CW878zYAZ7JD5zslnOHPHWfcI1sxRTpqtpGizLltPJWQWVlZrAABanaAjzgIML5p7AnjOyCuHxBw+KVe4eVdJvSvfyBcTcn3X8pXoOygq33c+h7leIPsAjl6+bbHelfknTkoCePz9DZB7ozIE0HDJXxzt7vaUYRECPJenGQtFm71EBVbf9RImirZ6CRNL29w1ZVgzEvvcRZ/T4y590sNR3yfzHf/Ms8EPzdxPX8s22QhV1UFXQDVAA0A6GDooBtID+GeGCkCygiBrvKTSnCQqiJcRK+oGB4oPaBbxIsi6cTLugbO6mGYcL5w9GzkC5N7orOHkjkkcb1L1EhWP1NvtfpF3hrV6vOW84CIpC83YKLJS9DkpstInOBjaTJGVhKcSh73/IPyKwd95Yp7Vw4eFKr2MCUfLMKwVdGd48q3p25OWHLm+bF/MBweSVhy4sfRgwtKDCcv3Jy45GMA/NfbGf3Q0ZfU3qSsPX1956MYHB6+vOJC06nDyB/uufXgs+cNDVz/cm7D28JUlu29UESZWsL9w9mzkCJB7o7OnmblbcDQkPsCzdS9RQXjLfYJD4O00ZWJpG8fYseo6jnjhWCvhLafIysfp7hrylFAmgbfjNp/Vw/cdcseSv+HJt/Zcun8mufDMtVtnr947c/V+6NXboVdvn018ePravQD+iRF+48Hpq7dPxOSHXbt/5uq90IRb567dPXv1zqmkB0eu3Tl+7U5YYmFYcsGnx/KqaktZ/oXuv/sxIEDujc4aTu6P9NbNDGv3eCs53skLLo63S6JLVWo0tRYr+lKEuY7fGQtJVGB2xqq/+PzfeDg41opXXDnWitv8GwuwTw3KSlOm+j53Q7GdScwptXoUAwFogFdRARAKpDH6CQDAePQ5P97XYCDQQUcagIjA8AEcjSmstt8TmYDP/VmQ+8/+++4vBtX8bKw3PrsUdCdWdQiQ+3MyBNBwtwxBlWNaFEWPz0cqCqtpLIBv48bVl6+cNhCFXTQMW7fWiv0zBGmlGYeXsDCsk6RsLOciSCtFWxnWTpBmirbiYiRlkuRairZKsgeA37FjfWjoQV1nSMrEcjaCKmd5C5aKJkjzP+IDfUTu/pk7TpAd2MQUsG8ZekQtBgCoBy7fMbmKBTYwcw+Q+4/NGk7uJGWiWRPFVKqa1+22jhs3rGnTV//y199t2vTpjBnjjx7dpaiEgSgDUTgDKstbDPAoWrVPdLGcTdM9CEhecIhSFQLSQATvs7G8haQrFK3aAI+iEqpGDhzUtazsDoCwZMmsnTs3AoiKSpCUheVsbk8Zx9txhm6GfXofaIDcA9YQC5D7/wG5x+XUkXvALfP8rOHkjkMhecHldJbOmTM1NPRrjq8iqHIAadq0sceO7QHgz184Hh5x1G4v1nVG8FVdvnLq9Jn9ZeW3Afi4+PDwiKNFxbkFhdkxsWfPXziel59kIEqSa6NjTkdEfv3wYS6A2K5d8z17NhcX392wYc2E8aNSkq8lJl42DJZhnQRZt5yLJ/sBcg/Yc7EAuQfI/Z/DGk7uDGslKRMAt2vX5qlT3gOQBV+VKNuQIY8ZM+TEiQMcVzt58ojZsyctXz7XZCrYtfOr0aOGDhrY53pSfOipY2PHjBg8qN/lS+eHDhnQskXTEcMHjxs7MjMjRZa4pUvmz5wxecGCmSZTUa93u7Z6p9me3du2frXxtVf/OHrUsGFDB4SFHQMQaMZBUhaPt5wXHARZGSD3gD0XC5D78yP3l/9w5+eDa14e48ELqpjcacYWIPfnYU9F7l6iAoA7dGjXwgVzAGSSstBsJYA6buyIM2e+8fm8S5bMmjNn8v/8z28uXgz74//8ft/enchQAKnNmr69eNECAAMZWu9ePe/czgekb/1q84rliw1d/uzT1fPnzXrj9T8fPrR30MA+ZlOprolrPl61c8dXANq9u3khIW11nWM5F83YON7u9pTR/0D8e4DcA9YQC5D78yb3l8Z6vhUtwwbI/bnYU/ncOd4OwO7fv3Xc2BGGLiHEKWotIGXcuGEnTx6ePn1caOjhmzcT27Rpdu1qzJ176Vu2ft60+WvXk2NKyu7uP7jtndZvRV0OGzK0b05uGoC8c/eXy1bM/XTtB7v3br6eHDN61NBDB/e827OLxVwGoM6f9/5XW74ApOTnZXbpEgwgMKzT48WCcybqH3j+AuQesIZYgNyfH7m/9N93fjaouj6504wlQO7PyRpO7iznIMhKXnCQlO2jj5Z+teWLoqJb9+9ncpxn6tRxhw7t6NMnpKAgTxSpd9/tHB93maQdpeV3evZqf+zEXopxmq1Fk6aM2rn7yxGj+p8O+9piK/7ksxVbt68fO37QpStnZJVcsWLBF198Mn36hPDwkwxTu3r1si+//ARAzMhI7NatjYEYjnf603OzXCBaJmDPxwLkHiD3fw57mlBIm8dbzglWn1jN8+75895v0zqoZcu3NmxYs2HD6hs3Ylyuiq5d27ZvH9SixZuJ12IHDe7douVbO3Zu0XRxwnujmwe9tXLVUgTKsOGDXvvL/2sb/M7KVUtlhXd7XMOGD2zTtsWbb/7xypVzokj07t15/vxp+/dvPXZsHwCfn58yZ85EBCzD2hnWipXlCfLpn78AuQesIRYg9+dH7i//4c7PB9a+PMYTl12OHi+omgPk/jzsqeLcScqEiZUXqgE4LP2IdFpTCMlXCwZjaBQ+AwZjaAQgGgxKUzx1x8AAort0anUzNRZAAIMRhRpRqAKDAmABGF31aopHV72GRhgaoUi1HGNXlRpFrvYJDrzlFe+K+kd2rn5P8hfruRebazUABJphgA6gA+hIQ8aL32QTwAsBIACQAAwDVB1gb1SWyV7BcbUvnD0bOQLk3ugMATQ8FNIfhkgzNpZz0IzDJ9ZyjJ1j7CxtIzyVsljDUFb8VxSqeNZBkxaGsgqck2PsAufUVW/42a/t1kJRqGEoO07cxbFWjrX6eBduimcdPOvAVWjSwnM2nrPVZ/b6ymJPS+44WYc/E9OZxJxKq1fTDDDUR99vHZABxovmmABeEBBCADLepKzocCzurtNVJHN/Kw9BAAFyb4yGAJ5KWwafcXvK8Em3p8yfL4kkKjjWitNx0JQJ6xDQpKVOaoa20aSFpW2q7FUkD37JMXbGL/aLlWcoK0vbMOnX1Xo0Sf9BTeCnePhICyZ3hrCTdLlfW+aTk7e2X7q7PTJrR2Tetoj8LZFZ28/nbD+bu/18XgA/QXx5IXfbpcxNZ2/tvHBvT2TuB1+n2wgHJ7y49JA/EgTIvdHZU5E7yzlwvAreTERSJoa1soyFIiuxMgwW/CKJCoG3P86oyzo4xo61f2nSInBOijD7ZWdoykRTFRxrrp+ElyYtj4meNjPfnq3/YyyPyZ1gzd8h91WHU788l77x5NUvTyZvPJW28XTKpjPJXx5L+SI0gJ8i1p1K/eL01fXHUzeHpm47mbRi/7UqwiSyRS+cPRs5AuTe6Kzh5P5ILsaExSAfbRY185zN7y3xf9IUWYnn3ZigCU8l9rf4yRpn3cO1KLKSIsvrz9nrU7yfxzG/+/HUz98jPXeGsGPJX6TaT1/LLrd6VQSAVOyKMQABGBDwuf9UASoA0sAADUAB+ObqPUd1mY8JzNwD5P5jMwTQQHLneHtNbQkvuCjaygsuAzEGYnxircddivmdY61eTxnhLec5G57LU2QlRVbiuTxmfKrezlJ87Kd4/48BQ1mxE7+O5estn/6vknh8O1kHw1oNxXYyPqPYVK0DAKiAdABAoBk4n2rAfppmACAZdEPVFQ1gd1ROmaOCFdwvnD0bOQLk3uis4eTuJct4wYE97wDcJ58sHTGiH8fVsrTNv/4pcE5RqOIYu+SrFn1OTPo41gULu+MDvDrqn577PfL+2Tpm9rrj72XN/gc97z+UielkfEaZjdQAEBi6jhCADmAAzrcXwE8RGoBuSIAAQAOkH72cWVVbytKBBdUAuf/YDAE0NFqGqSQpE0lZRMmtqlTXrm1ffvml4qL7AHyVs4RnXaaKu7pKMpTdXHnP5SiurSlGhpehzabKfLPpluhz+gQHSVRgTserrJjB8bpr/Qm7/xJ243w/SOZ/OXOvH+deanbX5VBFAAgMQAjpgWiZnyxkAB1EpAMgQAYcunLL5CplfIFMTAFy/7EZAmg4udOMhWYcCAkLFr5/6PBek7ms57tdESjLli+cPGXsrDmTatyW1WuWNmn6l6bN/vrmW3+WFOLTtR+0atWyXXCb8vK7klxNUi8s6YE/QfZ3yL3E8j1yD3jcfwp4gulIA9AAGToydFAPXr5fWVVB84Ecqn/v+xUg98ZmCOApknWQZppxAIjz571/JuykJPNtg98BUBcsnN2s+etma1F0bMTIUYMAZEUV2ga3/Ob4vj+/+l8V5aWGrgJwbk8Zwzpf2PP3QzP30KtZhTa3AoBARQghAA10DXTdAB2MAH6CAFTnmwMEANqh83dsjlKBDWRi+jsIkHujs4aTO0mZKNqKEHf3bubrf/1Tu+B3Jrw35pV/++XVazGzZk87feYbADHywqlRowcDqIoqtGnTymorW758/pLFC1csX0xSNoa1/iOyAc8KP+RzD72aVWIiEB4IDeoy7aF6BwH8xKADGIb2aHXdd+hCtsP5UBbKXzh7NnIEyL3RGQJoILkLnNPtqQAQDhzY1qtXSEz0xfBzoevXfzx9+oRFi2aFhh7Wde7cuWOjRw8GpDC0552WQQAygBwfF/Nfv//PgsJMVa9pSILs54UfIvdTCZmllmoEBoAMhgpgAKgAKiADQAvgJwgVdAQaAkMD0EA+eOWOpaqQ4cteOHs2cgTIvdFZw8kd7zgFgzl4cPsHH8wHEHWdy8hInDlzwsqVC44e3QUgSJJ3w4bVLVu+1bFDmyZvv5mYePmNN/6nY4c2YWHHFLmaoSv/RoLs5/7w1fO5Y3LH2jIFNrcMoIOGADQABTQNDA0e6cwE8E+KJ83dwUCAAOmgGqAC7L9cXOmo4AXXC2fPRo4AuTc6azi5s4yFJi086xK4qpqaSkGoZTmXT6z1eq047TVF20XJ/fBh9qlThw4f3j3xvTGy4qUZh8tVgXTGJ9hoqoKhXljUwZMWVIvNtSoCAA27WRFCeBNTAD9VKGCooGkAoIN2+NJds/WhxAU2Mf2971eA3BubNZzcGbqSZSzumjKedQi+KpKyeAkT1nnHL31itaYT4RFHe/XqMG7cEJutxCe6JLmaF6p51uX1lLCMiWdf2AzIry3zHeGwCqdHAc1AIoABAAg0BCoAvHCOCeC5wgDdDwSGH/ifNg1ABhAM+XDMPWd1YUB+4O9/vwLk3tis4eROUxUsY+JYK0vbKOLREitTSdFmj7ecYa04u6kk1wJwALyiEhRT4SVLsaqMwFtYxkQRLy7q4HuqkKA7z93IP3DpwZVs8+W0wsuppZfTyi/eLL6SXno5tSzqZnkA/8Q4l1IcnloSnloSkVYakVYaebMs8mbZ+fTy82kll2+WRaWWXEgtic649+GhDLPTKnAvLsrrR4IAuTc6eyq3DOGpxMz+6FmvxIJfeFKMVQewfq/A2ynCzFBWirByjJPwmAXOiYvRpI1jnAxlr799CYtH0qSFZx1+1QGGNrOMiaErWcYvMWbC3iG80clf1y9M5teu+UFyZ77tlsHCYVN2p8zbFb9kd8z72y7N33dtzvbLC3fFzN2TMH9P3Jyd0XN3xSzYGz9/T9zsHVcW7b86Z2f0vN2x83bH4kv4YP6euLm7YnB5fy18Ehf2v5yzM3rB3nj/X3xy9o4rC/bGz9p+GdfFL/21cMm5u2Jw9YX7Evy3xmf8N8Ul8QG+5O8ALuw/wGVmbb+8cF9C/Z7jPvjr4iqzd1yZvyfOfx4X9o/Agr3xuED9W8zaftl/3/rl/WXqDwUuv/jANVzL39T3a/lH6Tvt+Md84b6E97ddwl3yj+Gi7THzdsfM2xa3YGf0/F2xy7bHLN15fsbevKz87DvFWSl515Lz0x5m5KZmpybnJqWkx6blXr+dkZR1Ky8tI/fB/VsVt257yVqSe/qE7D8xBMi90dlTLKiSlaJQRXpNmJGx0jpJlNXNiIkKLAGGtSE51swylkclbQLnJL2m+qoDHGPHXIxVaBja7N+/iinbryqDJWtkqQqr1pBEBf4VwQu8HGMnPJVYbBJvfG04uSPVHpaUe6es2kCg+ERFNmQFyaKiSCovKD5BURUkS7pPUESfqmvgExRFNiRRk0RN9KmaCrKkK7Ih8LIiG6JPFX2qLOmypKsKEnhZlnTRp/oEBR9IooaLKbKBT+KmJFHzCQpuHzeID1QFcawoS7qmgiIbmgqSqOF74btIoqYqCDeoyAZDC6qCNBV8giKJGq6Fb4pL4nvhPuBm8RmekzQVRJ+Ky8iSLvCyrgF+R6qCeE7CB3go/G3qGuChwH3wt6DIBh46/NZw9/AZ/3DhA1xG14BlfLguz0n4DeIRVmSD5yRDB3zeP+a42fojjAcHGXXd9n8coijziiKpoBiIkVXJpwJoR86nyZ4HmbcKpn6wu+X4zS2G7Wg5efc7o7e2G7at1Zj1bUetbzpu87uztoalXDfUUkEooMlAnHuA3H9s1nByJ8hKkrKQlIVmHLxQjX3uvOAgSDNJWTjeTtFmlrO5PWU4hzVBleOc2gxr1w2S4+0MayXpCsFX5fZUsJyNICu9RAUvOLB6MEGVs7zlkZ6wzUuYeMHFsHaSsvnEWo/XTJBmUaohSLPbU8bxdr8EjY93UYTZU1telxukYeRO0WYc515sqQEEoCuAQNMMQAZoct3QGI8lZpBuAAJD0/3nNUX1n8d/8SVD0+sq1sVdGPWbQrrhv/q4FgJZlB5HbOBGHr3EN9JVzX/1O72qXxfphr+r9fv8uOc/dHf/Sf99VVn5bhxJvfvizjy+b733W7/Pj9+vgb71Fur35Nuj+t2x+qH2v3X+e7361ieFAAxdB0PVQNFEnEoRgXbkUkbGnazJK45eistnJAAECrAAhg4ABgBoPGjXcsyjVh7KKijwSVaOrHnh7NnIESD3RmdPsaDKWr2EiWGdqkZKkpdhnbLi1XRC8FXxgktRPZJcizeyYilglrcQVDlFm0Wp5tDhLbXucpIyiVIVXnd1e8p4wYHVg+s+X7qC4cweotTtKaMZC8c7VY0E4HHMJctW+cRaSfaompeirW5PGZYbw9N2fzaohpM7DoV8nEMVaWk3M25m5QIAgKE8Yg9VM/yscvzEKavNoemoPuFgnsF//ZcwFFX3H2Om9ZOSXq99/1oefvmd9vHL+rxnIPgO6fkb9L/0N4L7j//WR/2ufpshH1/yt+m/qmoG7rC/mKxo9Zs98vU3TxoN3NSjX5y6wak/et+vgsv7X37nPfo7hgfWP1DfGZP8zOzr16+DDgCgIgADNB19E3vvQnJy7znfCDoCkDHjIwME0EEHVfEB0Aig38ID564lGXKF6ra+cPZs5AiQe6OzhpM7QVbSjE3Tqaio0H37Nus6YzY/XLr0fUUlNJ36eM2igsJsUarhBZdPrKZoKyZ6UaoB4Js2+3/FJXkIaEmuXfPJ4qzsa4rqYVi7rLhpxkaQZoa1C74qhrXKSg3WjgfgtmxZ27Nnh549O61evQwhgefdixfPMFseiJJb8FUJnBPLxOPsHzzrwEsCf5fcsZ77Y20ZmxsAQJM++mjVV9u2gqFSnpqRI0cOHjxwyJBBRUUFOLgiNPTkzJnTnU77J598jM8oirR27afJyde3bfsKwHC5HBs3brh5M3XgwP79+vUZOnTwihXLYmKuHD16BMBgWXrZsiUI6bqOt0oZCOlhYafPnj3jj9/QdXXHjm19+/aeM2cWz7OGoQEYNptl3LgxgwcP7No1JC0tBcCorCzv2jUkMfEqgIH7o2mKv02EdHzs8/FDhgzavn0rfjl79vtLly7Gx2vXfjp9+lR8RwDD7a6ZPn1q//59e/XqeeNG0tq1n9I0qaqypikbN27IysqYOnXy4MED4+Njt2zZNHPmdHyL7du35uRkLVq0YMiQQUOGDBo0aEBeXk67dm1xtwWBW7Jk0cCB/bt06XzuXJimKWVlJWPGjOrbt3dU1AUAgyA8w4YNGTiw/7BhQ8aNG5OTkzVgQL9x48aMGDFs8uSJaWkpmzd/id/R0qWLRVHAd8zOzkRILyx8GBLSKTs7E8BwOGxDhgwaPnzo8OFD8YeVknKjZ8/uw4YN6d+/75Ytm3Zt2rxh/WdgAEPW9h844NDewwjgePy9qLionjMO6aACiLpSt8cBEAca6ACaoeoGjF11Niw6EaCqhg5oywTI/cdmDSd3lrNRtNVAzN69m2bPngQgOhxlrVq9BeADEDp1anH7dposExZLgctVJkpuWXG7PSav16rrXNu2Te32Up/P63KVRUeHWyxFJGmvrTVZrYU8XyMItZLktVoLCdJaU1smSjUMa9c0etiwPh9/vDwrK/mzz1atX/+xz+e9ePG0x2OhaafTWeqpLVekWv+aKkvb6pZnn0zu/kxMfp976NWsAptXRZB+M/Wtt5v+1x//3K9fv4yMjCZB7zwsKEpOSRs8ZBjD8qpmvDdxctjZcElWW7cJ9s8f2wa3j4mNf2/iZASwYOHiqEtXzl+I6tW7b6XJkpt3q6i49MTJ0AnvTdJ0dPfeg+ZBLetPkBHAJ5+u/XzdBjxjVVR99559H6/5NDMr5/CRo8uWfyArmt3hWrhoyZmwczm5+dcSr9e6vapmXLoc/bOf/3LDF18igEqTpWOnkO9PkBEAx/t++S+/GjhoiKYjjvf9+6//s03bdnhi275Dp3/511cYlkcA1TXu+QsWnTgZmpd/OzkljWH54HYdCJLGTXXt1uPO3fs7du7Gd3m3V59fvfLvHi9pIBg+YlRMbHzLd1pnZuXk5d/OzslzVdV07dbDJ8oIYOq0GcdPnMrLv512M8Nkttodrlmz50ZdupKckjZ/waKEq4ll5ZVt2rYrLinLy799+869mlpPbt6tYcNHrvhgVUlp+Y3k1KHDRuCRaflOa9yZ8RMmRsfEIYCws+EvvfSz3Xv2IYDyClPTZkF37t5PSb05ZOhwA8G+/QdHjR5bXFKWlZ1rszv3Hjy05KOVOoDFaf3DX/9isrpkgINx9xOux/efc0w3ZAOJACqAoWmKAqIGHh00Q5fAUMYvCI08fwPUap4NxLkHyP3HZg0nd4o2E6RZN+iwsCOTJ4/x+cirVy8PHPiu2VzscpkGDOhZXv7wxIkDQUF/feON/zl58mBFxb0uXdqsXLkoJvpi507Bdlvl2s9WHzm8b9LEsTHRF3//+39v0eLN5s1f37VrsyAQhw7tCmr+VlDQG//5nz8rKs5FwALw/fv3uJ4UDyBrGj9x4qiDB3eOGTMkKupsnz5dFyyYGRt9WvJV86zDn6zVLxH8N8gd51CtP3Mvd7jNporRQ/pt2bh+5/YdgNTyogfdu3UxFBGQ1qFtK0MRw04dnzdrBiCNIdxBTd58ePfWgzv5ORlpIR2C01Ou9+/dc9vmjRfCw8BQI8+eHjNiqNNqupOXDUgDQ502acLFiLN93+1eXlwASAOkga6AoQLS1n+2ZuO6z/DJS+fDx40aDroCSNNl365tWzZt+Hzu+9PPnztTVwtpSJWq7JbB/fuAJs+ZOS05MYHy1IR0CK5r81ExfF8fS3Xr3OHg3l27tm2ZPWPq6RPf9OreBZC2aN7sC+Fh5vKSkUMHgaG+P23y6RPf4Cq4bqugpldjrzy8e6us6GGbls0dlsqbyUkTxowEQ+3fu2fo8aO44tiRw5ITEzoGt7ZUlN7KyeRpApAWdyVq8oSxYKgzp066EB5WWvjAZTODrgwb1D85MQG3z5Kefr16pKdc7xjcuspuKX54r+DebXz3hXNnnTr2NSDtbn7OuFHDfSxVWVo0ZsTQwvt3BIacPGHsrZzMGqdt6MB+gLSJ40bfv51XUnC/f++eeATavhMESPv64L6J40ZX2S0F924D0gCMUeNH3kxNq642desRAoauGfLR2Ly4+Khe0/cCAk7SJEXQRFX08RLP+FReUUEUJATiiMUHLiQlq5qXJT0vnD0bOQLk3uis4eROMxaSsvBCNYBv1qzJBw7sGDSwz5nTx2dMn7Ro4ZyTJ76uqbF26PAOQiKA3KVL8LVrl37xi5cOHtiNDKVjh3ZLFi/c+MXnAFrfPj1joqPaBbcCpAJSer3b9czp4927dfXKrqcAACAASURBVDJ0FUBt06ZJQUGOKLkBhH79ul+5fN4weITEJUvmHD26r1evkLTUpF/8/KVj3xwyNAJHyGCHDGb5BpI7zqGKk3UU2ik3ycyeNXPipGmTpr6vaYbD4fjTa29GRl05FRY+Z8FiDeDQ0eOz5y/SABhB+tWvf9Nv0NBu7/bp1W9gk6B3svPvvPTzf9l36Gu8+SU+8cYvX/l1v0FD+w4cUuUmdIBvTp7+cM1ns+YtFFVDRY+3v2sAazd8+cnnG3DFU2Hhk6bN9F89eiJ0/Zdbxr43Off2PVwY17U6qzuEdNMBRo+fmJRys8pNdOraA7eAC+C/GgDJCiHd37117+HSDz6cPX/Rw+KyVsEddIAxEyZFRce5SaZ9564awMixE67dSMVV8K1ff7tZlx69uvToNWDI8F/86t+tzuqMnPzBw0fpAO06dcm/+2DStJnOGs+4iVOSUm6+1axF156927TvFB1/TQfIu3O/d/9BOgAjSFNmzGrfueu09+dQnK/bu33Mdpf/7XcI6ZZz6+6vf/v73v0H9ezTv2ef/jVeSgOYv3jZsVNnZB10gM3bdn751fb3pkw/G3lxzIRJW3fu+XTdFyqCorLKrj17qwgGDBmef/eByeZ89fW3wi9cOn0uct6ipSqCE6fP/urXv+nVb+CQEaMZQQIEY9+bnJiQLDDkf/3Xfz24dQ8ATsY9uJKU2Gv2LgOQqOuaTGuc5FNFRdGAYw3ZJyDRB/KYRd9cvBxnGFUk9+I0kX4k+F+RO0FbMLlHp+cFyP1ZmAFg1Cf3s2kFf3Pmjl86APjp08cd/fpAj+6dI8LPTJkyesGC6adOHSEIV/t2rQBUAK1Tx+C42Evv9uyCDBlADWr+9oTxo48c3g+g9evb88rl88FtWwKoyJC7dulwNSE6pHM7QABgtGvXoqAgR1FIhLh+/bomJFzCLcycMXnvnu293u0afeVCv749AVSf4MCxlQ1NzERZacpEsGaOcmJyR6r9VEJmqZXQAWprqnqEdO/bZ+CmLZsfPHjwpz++tmrVqt/97nd3795FCB0+fHjBggUA4PV627dvD4BVCiAkJCQ9Pf3VV1/9/PPPi4uLASA8PHzGjBn+AvigT58+hYWFhmH4zxuGgRDasGHDunXr8MszZ86MHz/eX+Xo0aMrV64cO3bszZs3639mq1at+u1vf/vhhx++/vrrU6dOLSoqCgkJ8deq+1wNAwAYhmnTpg0AzJo1KyIigmGYrl27VldXv/7663369Jk8efIf/vCH/Pz8SZMmJSQkIIRwLU3TOnToQNM0brB79+4mkyk1NXXUqFEA0LlzZ7fbHR8fP2/evCVLliQmJnbp0gVXxOXz8/P79+/vf4kQ2r9//9q1awcPHlxSUoLP67reuXPnpKSkvn37+utqmgYA8+fPP378OD6zffv2LVu2jBgxIj4+fsCAAbt27Vq7di0ALFiw4I9//OOHH37417/+dc6cOcXFxa+++uqKFSt+85vf4I9g7969y5cv948YQmjMxHHXrt7gOepfX/lV3JVoHWnfxOXHXI3tMWcXaKAYIPhIBRQAwSdSsk4CiIqhK0iesPDA5ctXQeeYFyh49yNBgNwblT0tuZu9hInlXIpCPnyYO3bs0MOHd1e5rCtXzps9e1JNjbmw8Hb79i0xF/fsERIVdbZbt/YAkqbx7du3LC29v3zZwrNhJ3v1ComPj2rbtrmm8QBySEjbyMjQ7t07GJoOSA0ODrp3L0MUPQB8//7dYmMvAMjR0ZHTp0+oqbF27douKupsv37dAWSBt9cFzjfs4cOTerxDtT65l5hqNQAA7dC+/Qf2HRwyZNDFi+f79u4HYCQlXl24YB5NEadOHn9/5nRDVynS26b1O3joNFXuEtIpIT523tzZhQUPZs+aabOaw8+FzZ41E8AwdBWQDkgHMHq92+Phg3sAhq4puCJuYd3nn6397BN8bLdZ5s+bExtzBcAoLiqYO2dWcVFBUuLVBfPn1tZUARi4qRZBzSIjzp06eTw+LqZ5syYZ6WnduoYgQwOkI0OrW5tFOoDB0GS74DaA9MyMmxZzJeF19+/XJ/TUiRHDh8bFRoefC/tgxbLFixaUlhTNmzvbYbfWdQ/pbVq/w9AkbqpH967lZSXpN1PHjB4JSO/Zo5vNauZY+osN637x85dzsjNDOnfEt1MVCcDIzsoY0L8vMjT90Rrvtq1bNm/amJ2VsXzZEsLrBqTv27t729Yt9+/d6d6tS91APerzgvlzT4eexEPnctpnz5q59avNFOndt3f3jOlTq1wOXVOCmje9eCHyzOlTMdGXW7Zonpaa3Kf3uwDG9aRrCxfMIwnP7l07Vn6w/HHLYEyYOPbKpWhPjaNzlxAwwAD1xNU7sddTBn10OPTY1gsXwwFBbs6dlQsWAqi6ZMyYMpFhXDpiBs3ddS4mBYAj6dIXzp6NHAFyb1T2dOSOI9Af5evge/QIzs1NARA3b1mz6sN5us6oKnXo0I6goL82bfrq8eP7CwpyevQIBhA0je7YMchiKfB67UuXzv7Xf33pypVzffqEqCoD4Ovdu3NR0a3Q0MOdOgZ37NDmlVdeslgKNJ0CEN57b+hvf/svzZq9NmxYH6u1GEDs3r3dqVOHRozoB+DDuVgb/vCxtK2+W4ZhrXXk7mCsNZ7mLYL+8N9/atm6fWxiYrnZ0rvPQOziiEm4OmvefBXBxKnTouMTOFHq0buPYiDFQCqCnn36njt/Yfqs2TpAYnLKomXLz52/8MtX/q1JUIugVq37DBiIZWQHDRuee/vOd5QmZd34+viJf/m3f28S1KLfoMGSprtq3ZOnz3ijSdPuvXrfefAQl09KSW3boWOzlu/85c23rt1I7tWvv7+F/oOHJCan/Mfv/r+mLVq+3TwoMzdPe+Rd0QAYwde5W3d/4UqrbfDwEbv27d+1bz8uEx2fMHXm+yqCm1nZHbt0bdbynb++9XZC0vXe/QdUuT3YhTJs1Ojo+ISOXbr++re/i4y6NGzU6KKych1gz4GDL738s8zcvNffbhLUqnXTFi3fbNrszoOHOsCGTZu3bN/x8Wdr32za7PW3m8ycM9dNUjpAZNSlth06vtGk6WfrN8i68aCouM+AgbhvkqbjAVmy4oNjp0L9fZ40bfqZ8AgVQXR8wntTpsq6wUtyh5AufidS/8FDLsfGjR4/QdYNxUCXYmJXf/rZkWPHf/GrV5q/06pJUIvR4ycAgL2matz4yXEJ8f2HjEAAEsDB2HuXE9JGrjm74ZN5uzd9CkiLjo7s2yVEBpBk9Y3Xm7hdFgC+95LdZ1MyJLmWJQNp9gLk/mOypyN3kjLhnUcMa1c1r8NZzPFVHF9FkGYvYeKFal6olmSP2fLAbH6oqpSielxVxaJUI8m1NvtDn1it6RRJ2eyOIlnx2h1FouT2ibUOZ7GmU66q0tOnj0ZGhg4Z0rOs/Lbgq2FYJ46oqaou8xIWUXLzQjWu5XSViNJTZ6P3q0LiBdXH5G6uwnrun360csWSxQCqoUssSWBhd0P11bisAOr2rzauWLpAYAmGrK3TfAeVoz2KyAosAboEoLqr7aBLPo5URFYSaI72gCEDqJS3WlcEALXKYb5+LTYnMzUrPTk3K81UXgS6JPsYd7UdQAWk+DiSZ7wCS+CXACrSRJZy64qAG2EpN4CKm6WJGtAlkac0mSfcLkmgM9KuZ2ek5GXfzEpPvpOfJbAEIAX3DXSJ8lZrMl/XuC4Zqq+uNVAZslaVOJqokX0MQ9bWVQGV9FTpiiCwhMhToEukp8pQfWDIYMg+jsSN+DhSk3lcEkD9+tDexQtmgyGLPCXyFEd78O1Al3jGS3mrFZEFpOD3BUjBbxP/ZSm3JND4XYMh84wX90SVuLp2kOLvMy4g8hTPeP2fiN1SDqDKPkb2MY8+AlXXhfatWlnKC1VVBlUHML6OyY1LutJ93mEZqbyP4Q0k6SLv8oqqAjJD1Lo1jdURO3zZrojYq6A6BT4Q5/48yd2/oBog92dkT0fuePcpRZu9RAVFWzneyfFOgjSznIMXXLXucpqx0YxN8FUpqoekLAxrZTkb/lUQpapHs34bVpGkaCvD2gnSLPiqRKkmMyu+R4/g/v275OZdVzWy1l0uSjUkZRN8NYKvCt+LZmx4zyrD2ina2nCHjJ/c64dCMqy1bkHVXIPdMufCws///+29d5gcxbnvv4CPT7r2Pfe518fnnt+5P6dzbYJNBhOdCTbBYEASYJKNsQk2PoDJSYCkXSUkgiLK0gahgLRJm6UNs2F2J2yYnGd2J3Sqzrne+0evhtFqFzNmxUow/Xyeeaqrq6vfrnr7O9XVXdW79xkABtZxweBNRVMxgIHNV19b6B4ZtsIYQDN0DGACNgFbkVb85Aiao2HdnBzKZAI+WFd76WXfv+GmG2+46carfnD1shXLrfh8MitsAs5nbsXnt6q6VmhV4b4sz93yq1uv+/n1P7v2mpt+efMNN93I8lzemMKUkyOSjGPGH+WPZVleeC5WynxM3kgMYNljha3AgdqDa9atLcw8f9DCPPPnmF8tzDafvtDgfJrCM8rbcLyFVgxgMMB8/tmXUsm4rBuAwQDY2OD+oPGDq+9dbQBgMUWTMYFKa1mWYMdzTJATsoiKaLp09f3lVQ1DoBJ8rvQlpk9X3DEGwNocquMpvhQn7gyKEGRAEJMsFyPIAIMiOcJvybc1HyRBBkQplSP8JBVkuRhFhxgUscJHh6FGGRSj6JA1RQFJBS3pp+iQoqYxsCZGspKR5HQ2F7DUn6Ij1vgpggxYE08SZGAy8yLFfcp77jQTtkaoepOMaIL1UWx89G0TfOw4UnzseMj8u+RTRoTmh48WTDEw+VuYFT46MLXwKMePQc0PBJ0yUrRwVGfh2NHC1cKtU4bFFhozJZPCE7G2ThklO2WCACu+cORt4VYrkB+ma1k4ZaTu8WNQC+ZHgML4whPMb5oyPnZKmU/GY1AtAzTNAAAMqmm8u7+vta/7R3cv3VrZwCS9QmaYj9uNlI9O20nCyaX8bCp0YM/Bn97z7BGnT8MUmsPZTE8RPqm4c2y4JO6ztVijGU0M1owa8NfE3RpHanXCWLPHsFwsR/gpIoToqMAlGTpE5HwsiuRnEKOpyXysuQGsGSWtab8QE2ZRxEpjPRcV+LgkJq2JwAQumd+KmDDHRvNThlnxlrJbfe6FL8x8hOJbfe75LzFZ4r6jqXckOGEAAOig4UmNB3Oy7QdgGLiw0I6+3PHh1nzMzOU8GdB108ohH1N4CCuM8WSyfMp8fD6QP2jeNlX98P7VMPJvzXy4KX9QfMzZTMaY5jSnYylhftF100pTGF9YOIUnZWUypazyJVAYOSVNPkH+fDXNyO+eP/SUqrEKzTSPOW7hmRpWAwbrAACKDqC/U9NO0M4dbQM/e3T5t2568qw7nj/z9mfOuuWFs2999oJbXj7vF69845YXL7zjhfUHbQASJY9N8GNzrp4nOSdE3M3S8jcthqGZpm6YAObk9fPXWu4JmolSdMSaMMBqlTNocl4Xa7ZIjp2cypFFkfz8jtYMMAI3bk3/a7kCx0YpMpCX47xM52f0RZNTQk66Tv4/oFC+ixJ3K08ChVgqgbgQzYSxFq9qs7+0o29JTWf5zqZVu3sqdh5ZVnNk8a7mlTW25VWdK6q7lu46vLyqs/B3ZU13+Y72FdVdFTs7VtZ0L6s8sqzyyNJdhyt2dlhp8ljxVuSyyiNWbssqj+STWYEV1V35TPJbK3Z2WPHLqzrLd7Qvr+qcYkY+QT7n/FHyuVl7Las8YiWu2NlhZWjtbgUK01inY+2Yt9ZatfK08rf2zRtgnYKVuDD//O75bK2is0zN51OYQ96wwsJZXtW5ZHtb/rzyNljZWhmurOnOH3dKUVdUdb1e1bG0qmdZZcuyqra3KjuWVx36y06XkBnWzXQKTQRD8UyMiUWIyDgVS1P+JJmJZAPx9DgpSWCoXCZLhSRqYs7V8yTnkz1QpaIkHTO0eO3h/kMDg6ohIikn85wiZHSZ0GVCFicMjZKVnCwTskyxkoa4FMskJJ7mhLSsU4rKKyKpypkCcnkUlVBUQlZyhSgqIWmEqOZEOSfLhCoTqphTRdIQKV3IYZnBMmtKtCrmDI3WFEKWKVXjFCmry6QsUJJEK2pWFbMmzykKKcvEUShFoWWZkmVKU0hNITWFUKSsImVVOacppCoTokjoSlbWsrqoihJt6Om0J0IpiGWzFghlCmHY1LTwKCzwCi/mFCknCgwjpnXMy8K4KeYklZYVJEgsrxKmRmxsdvY5BmXp6DQaR8WdokP0XLvOrGPdYZT43GLdDopCQpZSijyuyOOylCpEFBLWPWLRHYCfSz6RuLNMjGaimhKv7RhqdwV0DLSkIlpPkRDP4mjaGEcQSpuxHATGIZwBTgJZYxWVNwygeIhltcg4JLMQz0xPOIMjWYhkIZqDaA5ixCRhEiIEjhA4TkKchCQBiRwkCQjn9AiBgxk9QuAIYQQJLUxCkDTCWYiklRRhJnIQJSFG61FCT2QgktMiOS2S1aM5I0aYeSJZM5rDhTExAiJZM5qDRM6MkmYoCVEScjIE/UybN6OqrKIgRUGyzFhMrir8tJiGpptAsSZJqDkSkqSZyEE6Y05MQCQHoZSayoFgAmB1Td2g0+P8nIg7Oqrv1tdFSnzeOP4WcIpjsEfvC49PUOJ4PpG4IyZIM2FNidd2ONvdCZoHf0rx+eW+oN4X1Lu9co9f6/HjFrd2sJc7YOOjcY1ETI6msjR44tA+JLUMap2jyuFhzaLdqbU51JZBeRK70WI3WgfN1kHTCjcP6E39WtOg3DQoNw8pbS6tY9hod+vtbrXdrTY7oNmJG+1mswOaHVA/IDcMQINdaR7UmgfRYRfX6dba3Wr7mNg+LLY5VCvPozmbH2KXW4eUDrdaaFjrkNrm0tuHlAa7dNipHXKIXWNqjoO1jRFN4yx9z8u6hSQz06KDEZ0Ab0r0xcQhjzychMMuwek3O51Gs9tstssHO4jhiAQYynd1OcYcnx9xR6X2++ee6UWqQPdLzfaPyScSd54NMSimS7EP2u0truQEBf40RDPgTqq+HNh86OW39nZ75aE4dHvhkF0a9hgTFJ9I55I505uCvgAMhME5bjoj4IqCOwauKDjDk7gi4IpiVxS7Y+CKYmfEHArpg0HNHlAHvNDvAbsPhkLgioEjBo44OOLgCJrOsDISx64odoXBGZbto+AKSf0BcITAGTKGI+CIgTMFjjgMBsEVAVcEnGFwhGAwAHY/thjwT+bsjk/ijMBQCFxRcITAEQNH0Oz1m4edSo433tzj0VRBVXhZYiURyRKbR1KoadFB9qeUAKn5M7o/DZ0+9MqahjYXOzwB7QHo9kPLoNbn4RUFXt/Z4/AOf67EHR29mI9nzg0rMSvMVL95Zc/X9ceR/hIfVc5/s7gzpJ+hYoYSre8c6BhLhsbBFTd9E+BLgytqPPr8+vOuvn/JmrYuN+4chhY7dvshQYqBRCo8rngT0O8DexCGwsJwCCzcAXD6wOHFk3igkKExGBqDwVFweg2HRx/yaq6A6QqbzohuMeyXRqNslISxlOqJQxLBaBDGafOIE4YCptMnjwTBEcRDEWMwrNv9xpAHHF5weGHIA4NjeHAMD47BkAfsPm0ooDlDhjOsOcOaM2Q4gvqgXx8MyAOj8lAQO7ySOwZdDoMRlFXVPkOXNFVQZE6WWEXm8sgzLBhgJGS6E9ibgrEovLWr6+wf/e6Bv2xoHcp2hXHzkNw+qI8kIEeqL27pcPhHPm/iPhNz3qgsMSt8lBiV/stnj0/WcudiNJ3Q5cjBw11tIzFvzHQkzLEJZSCMH3jq3fN/9vu/lH9g80ObGw4NQkM/OENGIE2NRZKRcfAloG8E+kdgcMywjeq9Y0bfGPSNQe8otgL9Hujz6FPo9xr9XmPAA72jeDKlF/d5cY9Xt/mMnmHoD4IjBW2jZr3dtKfgQCcMRI3d7XqPB/o8+qAPbKPQPQbdHtzrgT6PatHv1aycLWxjuNdj9npMm0ezebTJ8Bju9+v9Y9DjNXtHdJsPt/YCp8CKyohpKIYua6o4BUUVpgWb4PQagyHsjoA/Dvag+PzK/Rdf/+jDz2z+oJcdDEFzrz4YNAhKe2Fz66Df9VkV95muc+sdzeOZ/I5riVOcmeq36Iqeawc+yfmEfe5hmk6ZaqzhSFfnWNITAXvQsHmJBY+vvPDnf1i6o9OehKZhrcltNjhwowOcYWUskRsJZ0NJcEegZxT6RqFvFGw+bNHjNXu88CGeqXSPQfcY2I7b1D0GPR7oGoGhBPQl4ZBH2Tuo2Ql4vxN6J/StrWZ3AGw+3O+D7lHo9kCXZ5pMesYm6fZAtxe6vdDlga6j4W4PdI7gPg/0BaHLCT1+47ALJhhYvT8OoAPogDVsqthUAWsWGMRpMU3TPqbYgtpg0BgJgj8L7gko39T6/Rv+fOuf1lS25A4Pw3AcsoTy5JoGh3/sMyzu0+v7DBezNUF8iVOdv6raU9LPqPtz7cAnOZ9I3GkUZJhxrCbrOo4cdsd9YRgKQfcw+dBLmy696Y/PrPygJwxto2b9oFI/ZDYMgTuqeZLkaJj2RPGAX+ryyb0B6PKAbQxsY9Drgd6xYzhG6I/BnGx6e6HPC70esMIDLhhL4v6Q1uFR6gY1NwX7jsDghLytXbNFodsr20ZV2xjYfGDzaL1evcerd3u0bo/R7TF6vKZFt8foPnroo5sm/2n6vNA3CkdGRbsXevxch0NmFFi5xzUp7kclHrBmha1BScejA/SMKF1B6PeByw/2gDwQgRdWH7r4lj/Mf3HtPjvV4tYGw+p4WnjinSanP/jZFvdp9P1vbfGVOCUotoE/4//BXDvwSc7HEve/+8rQF69Pn34bUWvzYiOJjk4mztJBFkUMOV7b2d/hC9l9WtswDMagL4CfWlJ9wTUP/e6lLYeG5UNjcNAF+4ZgKACeJO8MJdxRtc8PPSF8xKd1eqF3FNvGsKXRhVj9M/lemjx9U/4Djja9bR7ZmYDBKLSNmvUOeSAJH/TRtgjUdLC9QbB5oWcYD/qgdxT6vWDzHpN/4YFsPujxThpg2Wbpe78L7D7oHcWOYTjihya7KkvGm1XewvHWHwcA6HazTU7cF8BDIfXIiP7Y6/vPvf7Rx16rqXOrbXGoHjTsUTmazj22rsce9E0Rd5qJWhMJzLn3lChR4qTlE4k7nYsKXNKQIgfburq8MbffbO3HA6PgTkGnV/rTop3nXve7V95rbfFDwxi8b9ccEWU4PjHgC/omYCAALS69fQwfHoOOUegYhfaxD2kbxW2juMmrT0uLF0+h2WM2e8zWUWjxwP4hqOrVth6R9rtgaye3z2FW9olNfmj2mC1jWrtHax5VW7z40JjZ5J2eZi+0eKHFC20eaPNAixeaPbjJgw/7oX6Ub/Xoh4ehJQh1g1qOVd/+IFCctGMwMRxxsY1D0O0FRwQqNh3+zo9/88ji946EtLYw7HWoe3vB6cV8Rn16ebt/5MNuGZaJlcS9RIkSH4dPJO6IjlJMQFfG67o8h1xknxcf6NPah+HICHT7odmpLdzQ1eKBZg+8369X24xOJ+MfF10hcnAMWu1Q26/VD0qNDq3OAbVDUDsEBx1wYOhD6gfx9NjNervZMGA2DJhNAzjPoQGj0Y5r+6BhEGoHodEFB+1QPwgHBqBxEJqGoNUBrYPQPIibHdBonzn/ftwwAE0D0DQAzXZoGoCGAWgYgNpeqHWYjU6zflDZ7dRrbCghwJsHojqYxYGh1S7UD0KbS+8PQpNTWbylr36IbxuDQ17Y7cDVPWDzGamc9Oe3m1wR9/HdMtasYXPuPSVKlDhp+UTiTlJRivXour+2q7PDM+HPwIFu+lCf0dCnNParzU6jYUhtcGh7eoXdPcLefjVMgiuS9qaokRgc6pfrBvSDA1pdP64fVPLU2uVau3xwQDo4IO2363n2DWh5PrBPUmvX6+1Gvd1otJuNdvPggHJwQKsdMA4OwoEh2Nuv7+1X9/Qp++3m3l7l4IBWN6DW9St1A2qtXT/Qpx2fs8XBAanWLk9jlVPfZ+dr+/VGu7nHJne7TUGGysaxGRvp1nx6x6ECDATFvV1cvU1rHtA7RqHJpR5y0gd6lP0DanUfu6+H9aQhnuZffa97cGxUlhKTHdNTPtZRokSJEjPwicSd52iSjIGa/aDlyIHDIzIAZZqkrHIcljVAvCHpQPMqq2Akm6RoIBZi0XEWkRiAkTVKwVkJ0wpIvGEhCpMIvC7wOi9CHk74EFoEJAASgBNAEEAQQBJAEoAVdFYwRQUQh3kRkACsiFkFWB5YHnjxaGIJOGGabPMgUWcFXRCMPJxosJLBIBAUEDlgBC0ngShDJk35Y3yx3TISkTUNQDyIAggCpjldUEAUQZIwyauEBqQArAHjBPH27n6Hd1SRk3lxp+gIzURL4l6iRImP5pO13LM+xATBSNb1Htne6u32oU1N8bdqgiv3xBbv9C3e6Xtju2f5nvCSKl95tX/5vkjtkaA3yWZYKUYwPZ7Ing5XZaP7/ebg9uZQnm1Nwa3Nk+xs8hWy45DXYnuL/0OafNuPJtjaPLK1eaSy3bel0b2rzbujzbOlaXhr6+i2Q94dzf6dLYHtTb5jAoemZ1tTcFtTcHtTcEdzyMKybVebd3vzaFWtv6ptdGu963Cvd8jrS3LMeG5iWiaI9LSMUuwH7ti6Fv9b+4Mrd4fKa0Kv7/BUbPctqfIs2xso3+t/q2p4b3cqROq7mscGR/slMT75VslRcf9svC1TokSJE8cnEneB97IoogkTHcODKyp7Vu9qW7T98Mqa7iWVLct2dyyrOVJR1bFoR8uKPUeW1rQvqWwprxlc+b59RdXhFdUt5VUtb+xsW1pjW7zjyPLKjkKWVU2ytKZtWipq2i3Kq9sKWVLTs6Syq6Kqa/HOwxVVXUuruxdXci8KmQAAIABJREFUd5Xv7qmobl1a01Ze3WbtsqSq1Uq/tKZ9WhbXdJRXd5RXd1RUdVRUTYYX13RUVLct33t42fbOJfs6Xq3qrth5pPx9e8WevmW7O6ZlpvzX7XZV7OheVm1bVtlVXtm+ZHf7ol3tq3fZlta0L6luWVjVuqqyrbyq9Z39zW9sbx6K+3gukp+zt9RyL1GixMfhk7Xc6ThNZRQyxCp+JLKgpgw5CbLPVBJYTepSwlRSoE3oUgKrSUOOy1pYlSOmHDWkkKkkNHlCF8dBy+hqwkLTjsGQk3lMJfUhUtICy5MxWB3H6rippEw5jqU4qAmQY6YYMZWEIcdBSZpiQhfioKZNZVwXEqCMm1KyMP9jD5QwlQQuwJDjhhw31ZgmRkEkJTWiahkQAoYSNZSRafMx5KQuJabFZINgxBU5iJUYGElZC4OZAj6JpSxWJxR9AuS4pCR1NcVztMaOsihkTZ5uiXupz71EiRJ/lY8l7md81XH6tenTfpU72O3DRpJHk90Ccz5H6OeEOfeSEiVKnJLQcYqO0ShI0SFEx1k6aBrh+r5s2Xni6V9vKPvvFWVl/8t++rXpM24nG/pCgMdZOmy9Zz3T7G4lZpc5n+mpRIkSpxyICbPMhy13lklwTMhquZ92iX7GNxrLvrSk7IyvOv7u5zmr5W7qCUSFGBShi5+lb6a/lzkvhU9eiCVKlChx0kHHKTrGsKHClnutLV12kXra1+rL/mVpWdn/HPjC9dmyW7MHurymnmDpMGKjBBmYe9NLlChRosR0MHRoxm4ZS9yticO+cH329NuIOlsAG0mr5Y5KfcGfFnN+a1KiRIlTkum6ZWpt6bIL5DO+0Vj25fKyL/yb87RrJspuydTZAlafO0kFERude9NLlChRosR0oBn63A/ZyWNa7mdcl/nifOZAl1dXYxwTIcgANdePGT8/zPmtQ4kSJU45ZuqW+aArdcb3zQ/F/e9vIMtuySxZv7epcfOBfZv27N24b/+m/fveK1GiRIkSJyl7t+7Zu2XfBxv37N24f+/WD/ZuaG15r3xja9mFyhe+eajsv1eUnfGVoX+4Nl12B9nQ6wc8jviYhGKskBT4eIm5hEsWIvIpiynxnxocf2LhudgnKZ/PTDlMOU1RSFjMvUOeTExTLJ9Rf5j2whf5FM/FOH6c5VKcEGW5GMePC3wUIN7Qnyu7WDs6iMkS99uJepsP8DjNRkQmynDxOR/d8zlnzj+pMwUGnViOOfdj+xbRtI+dP6PlcHzXqsWcO+RJQmHhnAzXywn3h+OOyKE4h+IsiiA2yaAE4sIMiiA2ybFhwNGG/tyHfe7HiLuZolCYp8IUKr0tM9cc+0GyT+1zdDN9F836kMiJY9qHENM+R0JMmKFDc3Uxn+hy+IgHaCWmUPjs6rPqD8eLwGSYCdPMh++5W9MPTH0V8hhxN5IlcT9JmKuHrjM9+KVOMIWn+RGiNucPok90ORx/xJK4H18ahQXy+fGHKc4/rbgfO7dMSdxPHT7DF/lMLfSZks25wSXmhLy6fU5ua6Y9R2uVZuL5VyEZlGBR6CPF3UxRKCzQEZqNzflZlShkzlusn84JzrkZJxWfE/0qiuOd5PPgOcff16LjWu4fJe51Pd5Sy/3kgaaCzHQ3ZXNu2AnieP2ynPj4s2boEE0F59zgEnPCtM3Yz8mfn3Waef8volumJO4nFRwb5bmYKCRkKaXI44o8LkspSUzKUuqziiQmBT7OsVF07D8Zx0YFPi6JSascrKL4rJKvaIGP81zsr8rWnA+VPEF8zGvEcow5r7UT7Q95jrlGCuZzt7plJudznzJC9bRf5Wp7/NhIsnS49LGITxU6ipgwjYKTNcQkWDpMER6YGMkkPCPuTvdgk8PV4xjuHhluc7pbh4d6i2XE0ecetDkHuj1uu3vQ5rL3jDj6nPbOUVeve6jbMXDEM9w/4rQNO3pGnDYrxjFwpK+7xd7bbjHY1zHYe2Sgp2Ogp2Oor9NuO2y3HXb0dw30dFjhYhnsPWK3HbZ2d/R3uew9DleXw9EZ9bhNaoRLj3FigGBiHBMi2HFIuMjx4OhI+9BIv2PwsGugdXTwiKtIHAMdo64ex0DHsKPL+h3saxt2dLmHOp32wyPObivNsKPLaT/sHup0Dh1xOTodg4f7e1u6OxsG+lr7e1t6e5r6bM19tuaersYhe0dvT5Ot+1B/b4u1qb+3pc/WXBiwEk+Ltdc0OLt8bruzp9Xpd6GcS005GZokmRTLpSg6hpgwj8Jk1kMTgVzGT2RDZDYwOxD+bMZDESEiG8imfWQumMt6ScJPZEMUEbF+s+mAFc5lgkQ2QBEhMhcksgEyF8ymfdbqbNmTy4QoImr9EtkQoqMsCjF0QKETJDNKyHFmPMjTfSnPyLDTNmbrL9YfZsKqfcdAx4iz22k/PNTf7h7qtPzBcokhe4fL0Tk40D7Q19pnax7oa+3tabL3txXW6UdXfVH029r6bW1DR7qC/f3Dg+2Dw33jkVFzopehAzQZZlCMYgI0E86PUD2m5V4S95NH3GkmzjIJjolwKDgW8f/m1XU/fuit82+r+O6Cd//z1uXn37bsvFtXnzOvoijOun3J2XeUf3f+Uit85m2Lrfiz5y058/ZF5929/LsLKr5z2xvnzC8/647F37ntjTPnLTlrfvm3b1909oKKs+aXnzW//Mx5S86ct+Q/f/X62Qsqzpy35Nu3L/ruXcu+c8fib9++6Jw7l541v6IovnPHkjPnlZ85r/w7dyyxOGt+xdkLln7jtvJLH1h53e8qeoc9EhuhqBGSjgt0giUd8kRk+dYj191ffv4tyy6bv+riBcsvWvDmpQvKi+Lyu9686PaKK+5edfEdSy+Zt+zyu968dP7yi+9Y+v0FKy6Zt+z7C1Zc8KslV9y96sLbyi+/681L5i27cN7SS+5ccfGC5RfNX3bJnSsunLf00rtWXjR/mbV6yZ0rzrttiRVzyZ0rLrijwgpcvGD5xQuW53e8eMHyixeUT8tF85dMy7m3L7rozsWX3vn65Q8t2dnah+UgTY7QnDdHhFkuwbOJRNThG+seHe4acXe7XN3DTtus4HZ2jQ7bRodtbkeP29Ez7Op2O7vczq4Rd8+wq3vE3eNydI4O29zOLmt1bKTX3t827OoeG+l1OTo9o32W9s2WPcOubrejZzLg7IqEhhAT5tgwxZA5JkizESET6vaO3Pn0O5f8dtF5d1ZcOn/59BTpJ5ZvXH7Xm+ffuvjKX6+2Mrlk3mTlXnBHxeX3rL7gjopL71p5/u3ll9610qrxfKVfcEeFtXWmei+W8+5ceNG9Cy+8842Lfl3+nbtfO/v+xQ++tmEimxD4KKKjU8R96peYSuI+t1ivrFo1RDNxRMcFNqZI8ddWH7zjL5v7JyBIm4MT8igCNwlOBtykWRQuwnDmdDdpDlPYTZpjCEZocBHGMAVuEoYpcBF4KKN7WHCTMIYmI4cyupsER9YYoWEoow9T4OXA2t2R1RxZzcrHyrkohilcyIcxtOpG8Miquvtf2qjoOZqPpoUEy4exFt23v+6XT6yzedM6ABg6gIBBAgzFAQAApmmapgkAGE9GGYZhxRdGmqaJAUzABjY1Q8cABp6MyYcxwPGb8piAp8R8XDNNAFDAhA86Xbc+tjYQcUl8gqeiiI0jNp5N+7yjPXQuosoExoJpioYuzQrYVExD1lTBWtU10TRkbCqGwRkGZ5q8piGMBYwFAFFVGU1DAJK1VVUZAMnaOlv2gCmYGg+gYJ1DVCrgs6cSIzwX44mIIAR4FOXGQ3e+sGbpzg5G/bB+p1mKrIC8h+S9Qtf1wmx00yis5UIHyNd43kM+OWCCYWiWNQAQJeG/yne/+G6tpo5zKM6gGI2CDIqUxP1kZHI8AgoyKMKgBEPFRC5qaMmfPLy0/FDMTkCKlSeQlqAgyZghpKYooyjGaXOCweO0mST1JKmP02aC0NIIUiSkSEgSkGYggyBFQiIHKRImaEjkIIMgy0KSgAyCcQpSJOS4yV0yCBI5c4KGeNZIM1CsPcdjGcYzOJiCgyNw4e2vmWpE4II5JiihgIGzL6/ceN+yfTIAgA6gqWAKk+FiwADmMeqbD2NjMsbU8YeRGCypxxhMEwzjGP3Ib7XicUH6KQlmsgeDNi06gKjLYJgiwHkL1vX5R0QhJjBBmgkzVCSb9nnH+kyNNVROVXhRYlWFnxUkmVM1UZSQpouqJkgyqxuyICJN50WJlhVkmKIo0RxPSDJjmKJuSJou6oYkSkjVBFFCooRkhVPk6SnWHkVBkkQrMqcrLJhCKOAIBx08m0BkjOKCEp+Qxt3n3PxshAEwdDCEmdWxeD/Bk54w6RiTon9M5U6p+ny8YeCjrlLkcWdCBsCgApimDqaOMWyptd/45FuAczyboJnopHRQMUQFSuJ+csEyCRZFjop7jKEiIhfFxvg19zy37P2QIw4GBl1XAetgSICLb7FiMDTzmJhJXdMAdFFAhi4jhjjq2ZoV4DlakXkAXdckK/7hP/w2EvZhUwHQAKsA2iSz1ESRDRjLQY1DO+vm1wAneDJEMSSiGcNIvVCx5ul1LYBNkHXQAQwAY+aW2oyLDqAbpgKgm1i1VkWJxdjQNEUUeQDTwjR1ADMvwYVXmonVKTGaLr2x6NWdu7bOfH0WuZgqBgBFxSBeOn+px2dXpGiW9bNcjEWRXCY4OmzDuiCJyJJjSWZmBUXlBZHSdF6USVmlVY1DbFbTRUlmZYWTFc4ScUXlrbAks0c6WzmekhVOUXkrRlF5UaKnpWiTRGT9K3AsCYYYj4zFo8MCN85yiRQKCfKESQ7/5/XP8gAAIH2UmBbtJ4VVzHKUbshWmONpTZfyzoNBG5+I33PvnZYb5Hc8mmDWFh0MFTQdNMPApg4th0fveHAhAMmzCYqO0CiI2GhJ3E9K6PgUcRe4MDaSNzyw+I3tnsGwDqCYwADouqbooGsgFIWCOQMkyUD531Qu8j+++s9nfe+73/z2/730iss/qKv90xP/JaqKAaADxgCKplYsW7p1+7ZC+b3iqiv9wQA+2heh6pp1K6pjvihMEE0QDRAMEKywBZi8K4F29Qhn/rIcKzFJiZFMiOb8oEwsWrbxyVX7TCwZAKoJABrWZBOrRaFpmnWXbRiGpmkAQJLkPffc861vfevrX//6Qw89NHn3fXSxwqZpWqtT7tYxxlZ/DgD8/ve/X716tZWzYRimaRqFi6lMy0x2CiCIAGDIANSl8xb5PF5FypF0jGbCLBPLZYLDThtgWVMFWeE4kZYUalYQRUrTkK4ze/ZuqauvAhAUhTZN0TRFjCVd5wWBxFiyVgFk0xSrqrYoCsJYkiRalhnTFBUFzZo9EhIlZOiSpgq6zocCjmjYxTIxmXCTtI8zyVxi6Ns3vGLoKugIDGTOtBTpJxhjVVWt2jcM44c//GEmk7F84IYbbhgcHAQAy39M04xGoxdffLHlBvmqBwBd12eq92IBDJqiAyhYJ0FnwZT3tnRf89gKAIJDcUvcrZZ7qVvm5OOouFN0iEExxIRFPmLqiZ/cU/7GruBAQNck3pAFVQReUBFmFdEoCk3GAqtIvKbJWJVMQ4V4ZPyi879vdSkDmBSZazrUEAkHt2x+b/OmjVWVOwHMjvZWn3fM0NWqyp1r17yTiEev+dlPXnzhuR3bt9p6ugBMRRYFnjV0tVh7ZgIU3RFTtrVLZ92yBEya5oJSJqozSVDIVxavf+6dgwAaL+mKbOg80iVTVoyiUHVNUmRO4CVFxgDxZOK+B+6vqqnGACYGUVIwQF194zvvrq2rb8QAo56xDe9t3LJta219ndWXWt/Y8NY7b+/dv8/AZldP96Ytm6t312CAPzzy8Oq33zIBy6oiKbL1+2FA1qdFlLRpETRJU0yQaQD6wtsXBnxhTkxxKEhTQZaJkbnwiKvX1HhFQbKCBJmUZWZWUGQOQBwf9zc172lp3ccwSQApEQ/5fA6vdyidDgNIqVTA4xn0eodyuRjGQl3dbpZNj48HNQ3pOptI+BSFVhQ0LcXao2ocxxMcT2gaZ5p8NOyOhJw8m+BJP4+iWTHKE76zbn6dYyWMgZJVWVWmp0g/sfYSZclqvpz93XNoxFjtmx/95MeDjiFBEjduem/NurUERaYmxr9/+WUUQ+/YtXPr9m2WO0mKLMrSTPVeLIKQ03STV3QkCZrIgS4daOu/9tF1heJOM2GGiuU/kF0S95MFhoqxTIxiAiQVpJnopLgbsWsefPXFnd6mEUUGkAxOFjUsGJogSIpYFKIsyKokq5Ig8ZIiYjBTE8l/+/evvvjSK888+/wrr77W1W376c+ufXPVW//xf752z7333333PXV1DY8//l/vvLOmsrL617++d968BZ2d3TfccNOPf/zTu+++Z968Bd3dNoxB101RlGVZ/BtQFElRpMIYMOBwSNjRKp59w8uGyRBaEDHhjBDSIPXiyg1/Wr4PMEgCGJKiSTlG/xuOK8uyrCiKoigY47Vr195xxx1W6yzfyFuxYsUjjzzy8MMP22y2J5544pxzzpk/f/7dd99dV1fX2Ng4f/7822+/fenSpWNjY48++ujjjz/+6KOPtra2Pv7446tWrQIARVEkSVIURT5mKc5O4HnMg9Vmu3T+a+GRYV5JkSjBsVFER7PpwNhwv2EIskqLCiWqhCyxs4Ii8wBybW2VIKazuVBT014AZd/empaW/c3N+3p7Wzhu4v33t7S2ftDWdqC3t4Xns42Ne30+x6FD+wAk0+SrqzcLQm627OElStN5SWZkmTEMLhEbDQXsIp9i2TTKRTg9JmU937nueUPSDFkXVUOecSnaT6watBzje9/73kMPPfTMM8+88MILX/nKV1wu1/Lly63af+GFF9xu9zXXXLNhw4Z//dd/vffee+fPn79+/XrTNHVd/9uui+ORdFnhVU1QNN1kBR0D7GnpvPmR1Za4W33uM4r7331l6IvXp0+/jai1ebGRRIwl7qVBTJ+euNMfvgoZpeiIwEewkbzhvteeWedodapgiKagyhKrK6wqMbLCF4Ui89bVoqqsJCIALZWM/sf/97/ffHPF0qXl5eWLe3t7br755jfeeMNSqJER98033/j888+//fbb55577pNPPmndk/7gqqt9Hi9gWLJo8V+efArAtHpFZak4FJnPk19VFQFMtntYXFuHzr3pOTAong8iNkrTKVATLy9756m3Gkwda5oi8wjLrCKLkswVCaPpoiAyqiaapr5t27Z77rkHYywrvCRzVj/J8hXld9097/uXXfTQ73/zxBN/rqmpAjAbG+sXLJj3m9/c39BQh7EBYC5a9Pp//Me/P/TQgxdccN68ebc/8cSfV69+E8CUZVEUeStDqwNakhlJZotCEARNM7CSAx1deNvLEV9IYGMU46eZMMvFJlLe0WEbmIKiIF4gpVlqtssyY73x0tj4PsdNTEwEOjsbAISDBysFngHQ+no7fT5Xff1eWWIBtJ7uwx7PQFPTXkHI9PQ0pVI+t7tnZKRX0+jZskdSKFGirW530xRjkeFIaIhjozyKsihE8yE2Fzj/56+IggqqrIh08f4wE6wkc7LCG4ZmGNr555//3HPPrV69+u23V3/ta//HZuv+6le/cv/9995114J/+IcvNjTU/fzn1y1dWr5w4UIA8Hg8l112KcaGbsjF1vtMcEIW64IqCpIg6gprqGhvY9ctD78FmGHYEM1Y+h6w5o/EOFAS95MJOs6gyPHi/tMHljy2xrV/iJdMQtYY1qCRQrFG8Q+mJFrTkCxTopiVJBJAjMV8l1x8HoCGQQXQorHAz39xzZLy199ctQyDNuTomzf/1uee/8uGjWtIKrOrctv//fY3qqp3XHvdj8c8bhOrixYvfP6FpwE0QSJkteg+X1Emjw/LKm1C9vAYt3Qvc/bNr2Gdk6V4Nu3juBzg7Mtvrv/jmwcNQ9NMQZRzipTmVUqVmKLQZFrksqbGKiINoG3btOG2X94IWD/6woz50gsvvvLSy6PDI2+tWv373z30zNNPbN2yEUCvPbjvdw/e/8jDv6uv+8B6tvziC8/84fe/9Yy5uzrbx0ZdTz7xp5UrKgA0TeYUEakSo4i0IpKaTCsiqUpUUSg6YgVCU8cNnLlowRv+MY+mphkuStEhlosR2dDYSC8YvCwzsoIUlZ0tMQWQXC7be++9VVdXvXfvti1b3o7Hx1pbPxBFCkDq7+8YHrY1Ne0VRQJA6ulp8/uH6uqqTZMNBp2HD9d1dNTmchHTnDV7FI0RREoSkarwhiGEg85IaEgUEgwRIwm/inN01nPWdS8xAg0g8XKmWH+Y2U+QKjECmzM1EUA775wzOZoArAPoP/vpD5ub6s85+9tu1+CgvfdQY63XM3zdtT9euaJi4asvYlP3eoYvv+xiAE3TuGLrfSYEjRblnCBSksIrGqWbTM2hjpseXV0S91MAlklMK+6/eHDJoysdH3QiMLIgk6rEiCytqkU76+SlotCSRMoyBaD4vMMXX3QugKapAoDuGXNfd+1PXlv40uJFCwH0/r7uW355wwvPP/32WyvTE4m+3p6771qwfduWa372o5FhB4D5yssvPvP0E4BVwxAEYRb6fK0+WQCmboh8qSbzndveMAzB6mVG3DjomYUr1j/x5gEwdVUkFYHAMiUpvChzRSHISDVESeV4ESmaLCnikoryZ5571tbX1dPbGUuEX33tpedffCYY9r397qp77rvryb88tXHTeybg3XveX3DXneVLK5atWN5vHwiGQ++sefepp//iC/g3b93y7to1Dz70u5Wr3jTBsPq+RJkTJFaQkaRygoxEhS0KXiIkXVRUQsPjF8xb6veN8mIsQ/mtztJcJjjs6gaDlyRaVpAgUrMo7q2tB93uXtPkNY3u6mocGeltadkfi41OTAQG7G2xuLu+oTKRHEung11djcmkf//+XYpCYyz09LQMD/cBSKJIzGLL3RJ3ReZ0nbfEXeDjIp9mWT8So4jwnnvTYqQxskrzOl2sP3yEn8iqIMocBl3Vle+ee04ml7b63C+/8oqGQ403/fJmp9vV29/3yGOP1jXUX3v9de+uXTNv/p0er3/L1u3z71yAwVR1RZDRtBTrD5IkKSKpK6wii4pImzpTU9txyx/WlcT9FGCKuNNMVBSi2Ej++Hev/PZN1+5uGQBpEqHIvKHIspjVRKYodIWXeFoRaUWkVYkBU0lEgn9+7GHrNUdVEcIh3ysvv7hj+9b3d1cDNsZGXa++8sKWze/t37fnwd8+cPlll1aULwYwX3z2LyNOB2Bzx5bNWzZuAFOTeFpXeCvnj89MzSWQxXo7eqE6+e3bXgLMSWyYY0NZ1o/NzEvL1jy+fB+Ypi4LhiTJLM9KhqaQRWFolMinNYVUZcJQEdY5rAsLX37mR1ddfumF57364nNgqAtfev6yiy+4+vJL335z+cZ1b7c21YGpdLQ2vrl8CYD2x0d+9/2Lz3vyz4+CqZQvevXKyy564N47TU3csPatfe9XginoCqPJtCbTqkxoCqmrlHW4ohAEQZINXVZMIL5787Kgz61rExQK0kyYokO5TNDt7AIsyjKjqOwsdssYBud09mQyEcPgAMRweCSZ9B48WFlXt7uhYffwSA8AX1m1vr6h+tChPT6fA0AcGupi2TTGQnd389iY3RrNNIvirmqcqvCyxBqGEA27I6EhFkVIKohYNysGeGrsrOsXMiqtqaIgcMX6w0xYtaCIpKEiAOmPjzyQigfAEAGrLzz7ZCzs8425fvLDK378g8ubGw/KArOsfOG6d1f9jy//4y+u/en99yzgEQGGaPnArCBJgipnFHlclElFypqYrGlovfVPa0rifipAxwv73PPift3Db969yL25QTAwDyanSiwWJUMkFJ0rCk5GiimpIAoa4lWGV1gDdA1UxZQ4GcmGqIGqmLIBuooV2ZB00KywAbqFDoYOhg6qAbqg8irWDDBlQxJUTjZEUWeLQjK445FNHjC393D82c2hc29/HXROYsMUEyD5uGpOvPzWxj+/U4exwUuUZgqSzHCmKqlcUYgKo5mSpHKiwiq6wAmMCRoG3XoTRjcNE3Dh4EMD6xhMWZUwmAbWrWfRVtgEw2qdWTFWpKKJVtPv2IOyxdqJdU7gWQkhA2cvWbAqEnDLQpKhQwyKIDZK5sIj7h7AoihSs9vnruu8pnGmKQpCTlFoXWdNk6+r282yWYwlAEnT0IEDVTyfNQzBNEVNQ4bBYSwkEr729jqCiBsGJ0mz9vaOKJOKygo8LQqMaYrRsDsadgh8nERxGvlkNcmkXd+74RVB5UAWsYiKLeePdBVW1nheRLqp6KaCQZcU3sC6VeOFAQymbmrPvfDsS6+8bL1DjMEUJJYTmNkyhlMUWWMllZZMCUmkqLPbG4784o/vlsT9VICO0x9OPxClmajAR0w9cf0DzzxY3rmnGwnGuA4ZTkuqGmnqpCFNFAXWSV1JK2JKV9JYzyliSpMzYCBTIzQ5oytZXckCIF3JgknrMiHxKQAEJq0rWdAZC03KgZo15SxoNBgIVEoXs4aUMeWsKaeLwpAmCsPWKlYyMqD9vcTC7dlzfrEQqzyLQiQVRTwJZu7l8nceX74PsC4JaYGNaUIEcWGeJ4qCZbOCQCKUEQSSZbM8T3BcThQYTsgqGsMJWZbPyCotSAQv5jghK8msKCGWI3mB5nhKEBlRQtYvL9A0k9UNiUE5liMlmeUFuvBYgkBaFIY/JqIY5sWYyE8oavp7v3o5GhoR0LjAJhAbZVAkmw6MuHvA4HWdl2RmFvvcJYm2BoVaYVVlTJOPREYVmVdkThQYVWXjcb8ssZoqKDIvCKSu87LMkGQqnY4CyNa+s4ZKywoSBUZTBQAl3y1DoCyRG1ektJD1nnPDU4zImhIpo1ix/jATHEuKAsNxOcthJImWJJqmJ1iOFETGqmtF5QWR4XiK5UgArbunY8jRb2JVlFjEErxAixKXnZPKAAALPUlEQVQ9U/7F+oPAkhpPKSwhcgRHpQ1Frj7Q+cvHlpbE/VTg2JY7RUd4LqyrsdufqrjtNdvyg1DZkVlfl13XnNvcRK8/mHmvkSyK9XXZ9fXpTU3E5mZyfX36vUO5TYeo9XXE2trxzc3kpiZi0yFqfV12cxP9XiO5sYHY1spuqM+tOTCxsYHY0sy8sz+1pZndUE++dyi3oT63vi67oZ7cUE9uOsRsbqI31OeKtWdjA5EPWLzXSG46RG1rTqxr1h5f7fvhfeUALC/GaCbOUHHQkstWb7rrqfUT8XGBZ8hMVMyGWSLKp/1FIRNBJjkmE2GViqKURybCQiYgZoNCLo4mwhKZZMZDzHhIyMWtXy4bYCa8bMYvECEuG+CyASo1ZoVR2mcFmAmvSIbZjB+lfUImUIiYDVqBYu3MEuEcHSXICdeY+5z5z0eiXp7P0sj67w9n04HRYZvE53SdVzVOUVlN42YFXRNVldU0zjAEVWUVBRmGACBak8yoKmsNaDIMQddEWWJ1nbca+6rK6jpvjWCaLWM0jdMMVlFZReZ0TZRlxu+1J2JuFkUoNkZlM5IYR2nPd+94stE2xLAkQcWKLeeZEDIBKRfiJnzWr5gNMskxlYqitE8kw1RqjM8FUdrHZQMSFbECpjCu0Ak65ZPIGJ8LclkfSntmyx6KGOVyYS4XZekgT4Un4pElq9Y/8EpFSdxPBY4Td44NaUp006Has+ev+t5tDdfe2/7je3yXPzB8xX0DP/rN0FX3u4riyvuGfvhb91X3O664b+DK++0/+I3rinsdV93vuvoB55X3DV1x7+BV9zuufsB55X3OK+51XP2A+/J77JffY//Rg8OX/XrwaMzQlfc5r7zHfvV9Qz+4z3X1ve4rf+28+l7nlb8euurewavucf0NXH2vuzB89b3uH9znuuIB2zm3rX6tqhkgk6H8HB8XaA8vD7eMeX761Lv/9VrF6p3vr9u1d9PWqo3b92zYVVMU63dWb6res35n9bodVVbMxsrdG3bVrK+qXrurcu2uynWVVeurqtdVVm2s2b1m5661u6o3VL+/vmr3uzsq11ftXrOzakP1+2t2Vq2v2r2usmbtrup3d1RurNmzZmeVtangQLs37Hr/b2bz1v3bdu17Z82OP/zx1QUVu3mFo7kUwY2QVJDlYoiOjw7bElFPJhPLEUmCTJGzBJEbJ3LjBJEkiORkDJGkqPFcLkGSKYKIk2SCIOI0nbJiSDKVyyUoapyixml6Ip2O0vTEbBlDkimCSuSIJEWmc9lUIhEYcffkMn6ei5HcIM9McJxHRKHHtzT8+s/lS1Zv3FxdnDN8BBsr96zbUbNh1/sbK/dYbrO5Zu/a7ZVWvVs1nq/39VW71+6qXrOzavOe/Wt21Kzb9f66ypp1lVXrKqs+iQ8cQ9XWjdv2rt+2b8OuqnU7ql5asvXGBxdvHEiVxP0UhjOZQ7b+P7+x6dY/vvurJ9+79cl1tz/51vyn3rrjybUnlNv+sm5afvX07DBT/rc8tWbB06s27msVTZAkGtFRigywKMLTPlWnB3zBp5dvu/GRlTf98b2bHtt+48Pbbnxs4wnlhj9OcuOf3vs0+fkjm2585L3bHnv3lbf3jHOKAjzJhBg6wNAhnovxXIzI+SJh++jIEberfWT48Ki78zPJsOvI6HDXsOuI23nY7+3LTHhZJsahOENFODbEMF5ejOYEYsvBw/OfXHfdH06sMxT6wxROtD/c+sdNNz266YbHttz0+JYbHn3nwRfX7e9wKACo4EtMk7OFH/+ZvZK4n5xoaAj0FJiciRUMGgYFQMa6BCCfYJQ5QQLQAUysYI2m0l4ehREbJegwm3PIXEjTswpGBigGSAZmAXjA6qdEfoq0TwUMmmaoAKahS9hgEBVi6TBLTF6PLIpY3+eyEPi4wCU/k4h8ShLGRT4lcEmeTQhckmViFBGimATNhBHtZ6lRQ0vqmFBBUED/9Pzh03UPjAUADYNpzVAJhgwqjbkEKon7qUuO8rFCHPEJkg3TbIhCQcTGeXacQZETCsfMDTzpl1FYoH0c6UGEFzFBkgrSbITlEjkiSNERgUsKbIyngwLpVWkfywROKBwKTsuJPq6EPBzpkdgwj8IU6c2RXoaLkiie/35moZMwdMh6CP/Zg2ViDBWhyTBDRRAdtWCZGMXEKTrGMgmWCLO5gEAFVD4s0J7Pqj8g5EFcgGICOSpEojjiUgybzJLHfEO1JO6nGBSbJJh4jozQTJjnItZXtRCbPOHHRdNDM7PDTPkzKEJSQQpFaTbGcHGaCSMmiJggwUQoNob4BIXCOSpEsQmaS2Xo2Ez5zBZzJWokitNcMktFcnSU4RNIjOeYIMFErG8i5z8abq1y7Nyr8AkV97yyW0KP6CiLIgwVoag4jcYZlCHpJEUlGSb5WfWHyX81OiywMRaFSCpIMiFGiKGSuJ+6MHSAY0IiCgtUmCMjiAoxdIBhgyx9YqHR9FhS+8mZKX8SJXJ0jGDHcyhFMimSjrFMjCGDLJPgmBiiQogKsCiIuDDFRXJslEGxEwqi49PCMokTCkkFaRRkUYjnYjQRYIkwR0YkJlr42eh8+DPccqfoCM1EGRRDbNyqESuSIYMsCpFMgEB+gg8SfCjHBAkU+qz6A8skWSrOkSGe9IuUT6SDHOVnSD8qifupi9UVQzNhgopR9ATDpbNcNMMFcmz8hEIx00PPEjPlL6IQSwcZOsRQEcQmSSpK0TGBGydRgkYJkooiOmo9T6OIEEPFSCZyQskbRtKxQmayf7YQmThPhVnSzzERRMYYKk6TUcSE88qOpor7rN1UnVTkBZ2kwgQZsrR+skWPIgwbZDgvTY+yKMijqMjET7Q/FOvPs0WOT+TYOImiJGMVQpymUwhlUEncT2GoAEV6EfIhLjTZeKEDHBeYrRb0TPD09MzWncFM+SPCK7FhDgUZ0s/QIY6NUnSEpGMZdpQUAyTnI9kAhYIkE0JslGOjPB04oXDIzyE/y/g+ZRgyTdMJkgoTdJjlJyg2mWOjBB+a0i1jwaLInKvwCSLfcrc0Pd9yp1CUoiMMFRG4JEvFWSrBEUmBGv90/OF4TrQ/cGyIIr0M7WfYIMeGWRShiBBLR1FJ3E9daCpL0nGGi5JskGQiDJNEZEygY/mHSyeIGW+T0ewwU/6kkM6hBEGHWS5GU34WhSgmQKGwRMZEKobIGKITNJ2gmTjHRmnKT1urJ4xpm1GfQsudZiME40Gil0Y+hg7RZFhgI4j2Ttst8xlmUsqPNtjzEk8yIY5PMlSMJmM0E2eFZAb5M5x3TvzhU0CgkiyVQGySpGM5OkxxEZIJ0ZNF9NfEvexfHf/zmlTZglTzUBBDGIwQgB+0ADYjJUqUKFHiJMQ0gxiHLADCGIdM0w8QbHVPnHahUvaNttO/XF72d//u/ecfZE+7m3rtfX+7K3Woc7yxl9hvGz/Uk56WOluuRIkSJUrMLfW9RJ0td7A7U2tL19rSjQNEm4t9vZo+/WKi7P+vPe1LS8rK/tX9Tz+J/9ND4um/ypZdRZZdxpR9XzjtSrnscm5aTrtALFGiRIkSc0jZ+cLpF0pnXCSfcZF8+oVS2flC2fncGReJZ1zKl13oLPvantP/5d2ysn+r//uvt/zDtz74h+90lH2zsew/q0//Zm3Zt2bmGw0lSpQoUWIu+WZT2TcOlX29sezrjWXfbCr7ZmPZ1+vLvtlY9vVDp33tQNm/byv7yltlX/jHdX//T2vP+MdFZ3zp7bIvrTrtXxad9uWVZf+8ouzLM/ClJSVKlChRYi75ckXZl8rL/tuSsi+Vl325ouzL5WVfWlL25fKy/1bxxX9Z/sUvL/3Cl974fxJ/kPAcJ5f1AAAAAElFTkSuQmCC" alt="" /&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;The Application Configuration Tool&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: left;"&gt;There are four different types of applications that can be added, as shown in below figure:&lt;br /&gt;&lt;ul&gt;&lt;li&gt;    Java Application— You need to browse to a .class or .jar file type.&lt;/li&gt;&lt;li&gt;    HTML Application— You need to browse to either Local or URL. If it is Local, you need to browse to an .html or .htm file. If it is URL, you need to specify a URL address.&lt;/li&gt;&lt;li&gt;    Executable or Batch File— You need to browse to any executable or batch file.&lt;/li&gt;&lt;li&gt;    SAP Application— You need to select SAP executable from the drop-down list. You can also browse to the SAP shortcut file with the .sal or .sap extension. You must have SAPGUI installed in your computer to be able to select SAP Application.&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;img 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" alt="" /&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Add an application&lt;/span&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/1851608119686770898-3005410138571510003?l=aboutqtp10.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://aboutqtp10.blogspot.com/feeds/3005410138571510003/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://aboutqtp10.blogspot.com/2011/08/rft-configuring-applications-for_30.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/3005410138571510003'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1851608119686770898/posts/default/3005410138571510003'/><link rel='alternate' type='text/html' href='http://aboutqtp10.blogspot.com/2011/08/rft-configuring-applications-for_30.html' title='RFT Configuring Applications for Testing'/><author><name>Shruti</name><uri>http://www.blogger.com/profile/17331632118209600610</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-1851608119686770898.post-1122310817866994181</id><published>2011-08-30T06:23:00.001-07:00</published><updated>2011-08-30T06:45:25.919-07:00</updated><title type='text'>RFT Enabling Environment For Testing</title><content type='html'>&lt;div&gt;Before you start creating test scripts against your application, you need to enable the environment for testing. Enabling the environment for testing ensures that controls used within environments are accessible by Rational Functional Tester.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Clicking Configure &amp;gt; Enable Environments for Testing from the Rational Functional Tester menu opens a dialog box where you can add web browsers, Java environments, and the Eclipse or SAP GUI platform to the list, and then enable them for testing.&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="font-weight: bold;"&gt;&lt;span style="font-size:130%;"&gt;Enabling Web Browsers&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;The Web Browsers enabler must be run before you can use Rational Functional Tester to test an HTML application. Depending on the platform where Rational Functional Tester is installed, enabler behaves differently. On Windows® systems, the enablers look in the registry to discover any installed browser, and on UNIX®, the enabler scans hard drive(s) for any installed browsers.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Rational Functional Tester automatically enables Internet Explorer if it is present on the system. If you have different browsers such as Mozilla or Netscape 6 or 7, you must add and enable them manually via the Enable Environments Wizard shown in below figure.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;img 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" alt="" /&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Enabling Web Browsers&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: left;"&gt;You should use Test button to validate if the web browser was properly enabled. Clicking the Test button invokes the Brower Enablement Diagnostic Tool. You need to run a diagnostic test to validate proper enablement of the web browser. If the web browser-enablement test result displays a success status, you have properly enabled web browser. If there are issues, the web browser-enablement test result shows a state failure with an explanation of the failure. Click the Problem and Solution tab for instructions about how to fix the problem.&lt;br /&gt;&lt;br /&gt;Also, note that the first time you run Rational Functional Tester, it automatically enables the JVM of your browser’s Java plug-in so that HTML recording works properly. If you install a different JVM, you must rerun the enabler to enable it.&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:130%;"&gt;&lt;span style="font-weight: bold;"&gt;Enabling Java Environments&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;The Java Environment tab is used to enable Java environments and to add or configure Java environments, as shown in Figure below. Java enabler must be run before you can use Rational Functional Tester to test Java applications. The enabler scans hard drive(s) looking for Java environments. It enables the Rational Functional Tester to “see” your Java environments by adding files to the directory where your Java Runtime Environments (JRE) are located.&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;img 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
