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Conditional Loop based on the Dataset
nee2_020 Posts: 1
9/9/2020
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Hi,
I am new to SS.
I am trying to create an if..else conditional loop based on a value from a dataset instead of an extractor.
Can you please help me with this.
Thank you
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George @StresStimulus Administrator Posts: 566
9/9/2020
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In order to accomplish you can create a scriptable variable that would read the dataset and return “true” or “false” based on your required condition. To create a scriptable variable you need to implement the IExternalVariable.GetValue() method and to access a dataset use the SessionContext.GetDatasource() method. For example: using System; using StresStimulus.Extensibility; using System.Data; class ExternalCondition : IExternalVariable { public ExternalCondition() { //Do not edit this section. } #region IExternalVariable Members /// <summary> /// Return true if the variable will be evaluated once per VU iteration. Otherwise will be evaluated on every parameter. /// </summary> bool IExternalVariable.EvaluateOnIteration { get { return true; } } /// <summary> /// Return a value for the given session context. /// </summary> /// <param name="session">The session context object of the request consuming the variable.</param> /// <returns>The source variable value.</returns> string IExternalVariable.GetValue(SessionContext context) { DataTable dt = context.GetDatasource("{Your dataset name}"); return ((string)dt.Rows[context.VUNumber ]) == "xxxxxxxxx" ? //get the row associated the a VU "true" : "false"; } #endregion } Then when creating a Condition (http://support.stresstimulus.com/display/doc52/If...Then) set the following properties: 1. Condition type property to Match scriptable variable 2. Scriptable variable to match property to Name of the scriptable variable. 3. Text-to-match property to "true"
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XvxwfuvQ2m3O+Q/coFT0Pv7m7Phzwifj8DGdN1czhv2XQrvSZ9mIaTSx69ehtM95s2bQK8TNxIeRSGEj7t4ZuM2NLQqE74uMVCl62cKZ3KRA1NOmxp+mC1yfH09va1cMFlzXDMiHvV6v6Lp90Nv7j1Kc9puGwx8aVLl6oPb4n0J0+erL5oVYzOqGXDcLnjjjvg6mtvgPPOv1A51+82JEf2u7duhRV/+VVY/YefgRV/+gewZfliK647FsyD9r8+Efbv2m2VCWvv4UMHYNT5R8PwImeFv3XG55SebHYolj4dq9qn0Opqoe4Dk564Dybc/g9qZR+L7JGc8xBzqG4b4SdE+vjCBl2mHqI8DHMIHz9lposIH5VQWr7QRPi4v5yvXLnzabBGtfvks/Ph7HPHwP8a4byGecxpzTD6+sfg4493Jt423LdfuHCh+qCVSP+ZZ54BfEMnan0LlQvD5dhjjwUk/ekzXk28HlsWvwvdl1wIO0ccB8tP+Wpe/at+eSv8rvXlvHI2HH528Y/hwxX3wbwX/wluu+6cgvToWJkGm6RVDgG973ft6oHtH2+Cvb27cvo7ygpf18fvbbqjrPC5nkLiq1evhqhXKOGjcfqLWhET4UctW045fbCG2X5i0ptw0hm3eXv2XxgxDi77+b2wevXvchwnTE+cPOyYt956K7DSx+0d/PIV5sXRFUc2Di5x9OaT3bpmDexqvh0OXn0RdF7247zt29u9A96b/kpeOZvdK664Atas2wBPP/0M/PuVVxWkR8eKxoqE6UDA1ve2dI/03a0Wdc/28W3lwtJ1HbqNsLJR83DLFy/Tlg7lUZhD+HEO4jHJmoya5CqdRoM1Sj1OON3/gPaPvj0ObvzlJOjs/DDWoUVR7OgyPT09OSt9fF3zww9LZzsOLnp9i7nHL4+sf/E5WHvnbfDh/Lklxxbrevfd98App3wTbhszpiB7OlbpoDmpBSFQiD8SQRdSNmqZpG0sWrQI6OL8SzhQHoY5hB/nW1vVLouAVHsbSlF/wSX6YVQcKxpgEqYDgVKMjTTqnDdvHvALSZ/+eDrG65rw09h5UqfoZJs2rGiQSZgOBNLmH6WqD27z6hf2gJ5G28Gc9DNxvrUlstG/0ixY1T5W6aA5qQUhUC9jDg9djHIhHpzsMZ7Bf/gLSnIJBuID8XyAiEbCdCBQD/6LJI5Hpee7TGTvET5G6mV2lHbW/spb+lj6uN59ADnddKkVvilD0syACS6Ci/iA+EC1+oAQvmUmrNYOlXoLGYkPiA/YfEAIXwjf+OhncxhJFzIRH6heHxDCF8IXwhcfEB+oEx/I/FdTM8glGIgPiA+ID9SeD+hPY4rw0/FSldRCEBAEBAFBICkEcAIXwk8KTdEjCAgCgkAJEMBfw9q6dSts374ddu/eDb29vYELSRzTdDLH7yHg66g7d+5UtUoN4eMPcTc2NgYuTJM/QUAQEATqHYGaI3wke/6HM5OexvOD8TZozGSgsS2YCl3jYWSmEfRkTSr+rdLr/8pXjt34GqWEICAICAJWBGqe8LHl0QkfoGv8SBg5visAmEprbISRI8dDMCcgFvMGJ5eR4JmiSQXDRO3ErJaICwKCQM0iUHHCnz3nDbjvvvusF+bb/m666abA1o2+lRN2j2WNfzmE2wXjRzJiNhYqIDHHjqvDll6ACSkiCAgCggBHoOKEj2Q/ODRkvTDf9oeEbvuN2rvuugv4pcvZV/0awRMBU4iVwbj3g+vuZNDWCBlv2wdX77QFpK3kvcagnYz2NOGkqR8eoFV+wJarU9WlERpH4nZQI7QFZEowOXl1loggIAhUMwL5CB+PXcZfx8KQf3Cb2Ie2xRI+kjonc07yFOf5FLcTfnBbx9viUSSLWzqWCYGnK/J3PwvwypnchBE8be8E5J182tvHumTwRhE8EbutPiZ7kiYICAL1jEAY4eNbOEj2J5xwQg7pp4bwicAxJILXJwEuQ/EwwleEqlbYjEyJiBXZ+h+0Oj8D5pBvW6ND8m2NI2F823gYieTc1qit4i3uhpME2iQ7KMbj/J6nh9THYkmSBQFBoE4RsBE+kf2xxx4LI0aMgEsuuSRA+okS/u7du+Dvf/5czoXptKUzevRo1UU81Ld0ONHDskbAyzYRhBI+rdaRtPnWChGyt12jeY0i9/HQqMq0qbBt/Mjct360Ys6tuw2kkznZRyHKo5DSbPUx2pFEQUAQqFcETIRPZH/cccfBOeecA7fccguMGzdOLaBpeydxwkdyN11E+KYOQtIu5jLppDS1lTOSvbHjkWxwm8XZXuH79f6+PK74/X190uyE3vYMJZtW+Gri8V8T9cp4dcHCYfUh5RIKAoKAIABgInwk9QsuuADwRZbHH38cXn75ZXj99ddh7ty50NbWplb6iRI+fvPLduUjfNqioZU8vw+Lh6/w6YNZ2idnq2vlNbgap20dJqOTL5I4bcAbvM2ZEEhPcNLwJgokd7JFq/0A4aNiW30MRiVJEBAE6hYBE+HTCh+J33ThB7ipJHxO+nx7x0T8eQm/bl1CGi4ICAK1ioCJ8PnxCiU/WqGY9/CRtE1kHiVNCL9WXVraJQgIAjYEKk74topFSSfCp7dzohA9yQjhR0FYZAQBQaCWEKhqwi/JN21rqXelLYKAICAIMASqmvBZOyQqCAgCgoAgkAeBmiZ8emc/DwbW7GXLADIZ8M6AtgqyDPwi1qkTsVz1hawZEhUEBIEaRKCmCb+Y/sLXkPCkZST8iROd91ej6EOyr9YrSvtERhAQBKoXgZom/EJW+PiLLkT0SPY8jsSPE0HYH63sFem/BLC5F+CSiQBjNjql5r8RbUIg+Rxbvb7OJCcWrLf8CQKCQG0jUNOEH6frcPvm1FOdFT2Gzy7Z6xVHkJDskRNpEsB7fpFwgIQZ4c8HgDEFrv4DZZnOgK0CdXMd1AYJBQFBoDYRqCnCL+adfn1lz1fzeh6u+ons6QmA3MO4wi+SpMtB+LLCpx6UUBCoXQRqivDxGIbh4WHrFXZMA3Wxvprnq34kef2PPtildL5iPtUl+s2UWeAq30T4T7lbRKja2yZCe8zWUy8BUB2M8tpTASsqUUFAEKhBBGqa8L/xvesC5B+F8HkfI8HjFg7f3uH5GNcJvywrfJ3k3c8JnuoFUCSPRE5PFe4kEJgUXHk+OckKX+9ZuRcEag8BE+GX9SydJCFFQue/noWEz+/jEj6ROW7p2P5IhvI5iQZI10CyAVlttc3zTCt8/CBYyWjETvWg8Kk3tA95SZ7Ks5DKSCgICAK1iYCJ8PHAtJNPPhmOP/54dX3961+H008/XZ1EjMckY35ih6clCSsRvulsfSR+Inx6e0cPcUWPWzj8whU+v8c4kjz96YRflhU+nzyIwN2VfM4Hw5RPxK7fu+mywqcelVAQqF0ETIRPK3w8Ivnyyy9X5+FPnjxZHY+MZJ/oaZlJQouEzs/UxxU+vyfCt9mkLRwMbRdOAGGEz1fmZV3hTwTALZ3A1g1+ZqATvH5PE4Hh8wkbTpIuCAgC1YmAifDxtEwi/RtuuAFeeOEFWLZsWWl+8SpJ2JDQ+bn6SPj8Pgrh4wo+7C8f4Udd4fNtGlucJg+e700iRNQagaMs/fEPbXO2gKi8rPAJLgkFgZpHgAi/u7sb9uzZE/ihcvoB8ylTpgTIHo9MTu2WDid4PV4OwieSrsaw5r1dGigI1DkCRPg9PT2AK3skcn719/fDwMAAYMjT8QkAJwT6PPO/mpoDkwVOChlMLOdfMe/hYz1pDx+3bEwXvq0Ta4WvraLTPAnIHn45PVVsCQKVQYAIH1f3tGpHMs93IdmnjvCLhZD28JHUw67Ie/hVRPg4GcmfICAI1DYCRPi4IjeRPJI6reaJ5HmYqhW+3lX0Fo6eHvUeiR2JnxppKkcylBfYw68iwpcVPvWghIJA7SJAhG8jddzKQYLH0HQRF6ZiSyfpbiIyp0aa9JMM5eFKmUi/2kJqg4SCgCBQmwgQ4ZvIPEoacWEqCb/YFX5Yl2PD8UNh+RMEBAFBoFoQIMJH/ir0wramkvCrpROknoKAICAIVBMCVsLHDLkEA/EB8QHxgdryAfzgl18ZfiPxIDiCh+AhPiA+UEs+IISvzYC11LnSFiEr8QHxAe4DmZaWFpBLMBAfEB8QH6g9H+Bkj3FF+PPmzQO5BAPxAfEB8YHa8QGcwMtG+NX0abbUtT4QQDKTP0GgXhAQwq+XnpZ2GhEQwjfCIok1ioAQfo12rDQrGgJC+NFwEqnaQKDyhN/RAvjNWudqglndLrDds6CpaRbQbW3ALa1IGwImwu+e1cR8cjS0dCRQa/HnBEAUFcUiUFnCV2TfAt54wkEx2iV92wCxpedDwlbOlp5Pn+TXBAI64SuyDyw0OqBldAKkT36mh4gipdUEotKINCNQQcLvhllNbEVPKOEkgEuqpAeBTZ8tneojYU0jECR8i08mgYDuZ/p9EjZEhyCQB4HKET46/Gi2uqeKUroaEC3Q0kTbPa4sHyhKlvL55OGsymirqKUDB7IrF1i9BdNntYx2Jhu3Lh0to6GppQWamgz1QBmrfWqMhGlHIED43LdMFQ/0d9Afle+4W5PeFlBAfjSMRt9TNpg/eWnu9mWgTAQbpnpKmiBgQaCyhB8gX6ohknULdLiOT4NHPWoHVv7aakwNJBw0DolTOQDU1wSzOiyfCXjliMBpEuL18CcTrx7Kjp+e+BMJwSFhSRGITvhBv/L8QPNT3w+C8oBPrpzcdb9TYyFYJr+NkkIjymsQgcoSft4VPvvQVg0sdyKggeN92MtW+VGInXckH3gAgKt6NVnYtpZ4PUz25VNmjm7q45EJX/MTj9gLTeflKE4hoUb3FOrpdC+hIBARgcoRvr5CpgqHES0RPYW2CUOtlkihG+qDhrL1dNd+R4u7etfz6R5Dk33SK2FVIBAgfJtPYkuo36lVdE9h3HRejuIURtVFchIKAhERqCDhq+U0jOakiQ7P39JheYHHW0XowcdfNSCVvJYeZ0tHgebu/9OkoepE2zw47pvcfX7NjiYXEX8RqzACQcJ3+5f6nvkDfQ5EW4WeH9hIWttaVPKol+QpRBtePOhT+W1UGDwxX3UIVJbwES5cUXtbI9qeuJfufuCF8t7gUIXVK3M57/ArkqdtHnqlziVyNok4vZWbrj6spS8EKHtN0ER1MZBBrn1Hs/xPPwI64WONFdFSf/NXMtEXKJ38IOCPmn8G5Juc75V48szvvDS3fBwb6YdYapgiBCpP+HHB4IMjbtlI8jgQ/RV9cIKJpECEqggBE+FXUfWlqoJALASqi/DpaYCeq2M1NYKwq7+JVvdYpOQTTIR6iUjJEBDCLxm0ojiFCFQX4acQQKlSdSMghF/d/Se1j4dAWQkfB5dcgoH4gPiA+EBlfKCshB9vLhJpQaD0CCDxyJ8gUC8ICOHXS09LO40ICOEbYZHEGkVACL9GO1aaFQ0BIfxoOIlUbSBQWcLvaoaGTAYy7Gpsqw1gpRXVgYAQfnX0k9QyGQQqT/gNzdDltaULmhsyUBLSx8klYMsz6kR4Po9rYnJbWwgI4ddWf0prwhFIGeEDQKXItlJ2w/tHckuMgBB+iQEW9alCIH2ED23QmGkEtbODJOxt9zRAs/so0NXc4G0DNVCiKudvD6mnBEXijdDY4KbjCl9PU7acJwu1teTJuE8egTqwejU0Q3OjZi9VXSuViYKAEH4UlESmVhBIIeEj+SK5U+hCrYgaSVifEJCE9a0glGmA5jacMNyJgsorAtcmD5wdKB/NefGgXjXRkGyGbT158rXiFvXTDiH8+ulraSlACgnfJXRFzP4K2vlglyYCJ91b3dsIl6dTnELqfbzHVT5PpziFXFZ/AsA8XY7kJUw9AkL4qe8iqWCCCKSP8Ik8MaStHUuD29SWikbWXJZ0YRrFKSQ5uqcwriyXJ50SVg0CQvhV01VS0QQQSBnh8y0UHncJm1bitE2jtnL8Vb//dg/b0qE3c4jQMWQTSWCbRpfVtoqMstgJpLFfPmMAABP6SURBVDuBDhEV5UVACL+8eIu1yiJQecL3PpR1tml80kZgkLhpW0fbd3fTvW2dgKy7v86JmOIqbPA/DCaS98prTwwoT3UgWdJFfaffU7qEqUdACD/1XSQVTBCByhJ+gg2JrErIOTJU9SAohF8PvSxtJASE8AkJCesSASH8uuz2um10/RF+3Xa1NNyEgBC+CRVJq1UEykr4OLjkEgzEB8QHxAcq4wNlJfxanTWlXdWLABKP/AkC9YKAEH699LS004iAEL4RFkmsUQSE8Gu0Y6VZ0RAQwo+Gk0jVBgIVJ3x+EBoenxB8D79AkOXVywKBq79iuYTPvvtB37tAWNCncr77USxeZMs9lK9YdRUpH9aGsLyKVNZiNKyeYXkWdSlOrijhK7Lng8r98lPRpE+Er4fYEZRWTKckoaMY+1I2MQTshN8ADQ0+EfOFif9lP1M14hBEHFmTrbhpUe1FlUP7YbJheXHrXoh8VPthcmF5hdSpsmUqSPh4dIL/7dlEYdAJWb8v1ljS+oqtj5QvGAE74fNvfjvHfNAvs1Uv4UeFKQ7JhcmG5UWtSznkwuoZlleOuiVro3KEn480MZ+ONKCzb9wyxnPoA/IZyOCTg5I3nYdfzFn3bPDTmfjskQQPdGtobFSrQ+8cfqo/9l2gniWa8JL1kZrWlo/wM9i3gT7LABI+X/HTRJDJNEIj+40EvHd+sZP5DPm0erIlMqHjQ9ww8NTL4G9r9H4HQtn05GLqV/Uy28a2OYcSUp2cNtja2+at8EneCZ1JkWwQDnTPZNnY8Vvqt8fRE7yPWxfqh7jlimuD35o0xVJK+E4Hky+ojmIDj9L97ZmgPODA8AifiJ+RvBoowTL5bbBuUxMJ0+cNbHRo9ywe74A35IsGUMThHfbm6uJ6mHqJlg8BO+Hjlo6zrdPMfnAHidYhgmAdiUwampvd85+I5IJkhaVINoP6tc8FiGxzbZAeZ5Hgy7WpnwXl9TLpd8YMES7WjeK06OD3FKc2BNvK2+C3lz5/o7Kol+KoJ1h/1OG3wf+RU88STbI0jhVO5vpQe+11KbRckW3wGpOeSDoJXydCuqeQ8KN7Cm3pPJ/iFNrK6Ol0j6FWFh1XDSicaGhi8lZftKqniYCtbpQT04DjBiReLgTshN8IOtHTSl5fdVK6Q7o64XPS01uVm+eTVy4JEkEqe55/5erwreh5/J7HnRK+bb0NmE+EHfRfn2R9UjXrIXvB8qot3grOr7nRnicXtS5kk+oWtZw/KQfbR/qitoG3Jx3xyhG+vtrleGiE6hFsoem8HMUpJLt0T6GeTvcY6jIu0bc1uuSt59M9ht7TAFco8UohEEb46kdx2BZMm7vSb2j2V9XEQWaSo8keCYJIh7eUCMTP8/XkEr5Xkm/teE8Jvg5PzlvFUx63x+NOCd+2Tvg+UeZtr2qy8xOkAbJUvm/Dwa8xj1F9nAmVFkZx6sLbGKechfALaANvTxriFSR8F1RvpYJwOB3U2OZ0TsC58IaIk5Dz7g3y9CjIQywXVibUBhnlOijNdSxqi3IMGmRuO1VjgvVUdTESAemVsNQIhBI+W9Xiqp4IyCeyXBLy86j/faKhbRrS42/pkKzrK8ZtIyIv9jSJk1Fjc4QtHdJPOvCe4tQGfk9xvRzJ8jbR5EB5VBbvKY56eBlnMqMnFsIlp6/VOHJX0zS2curN9VJd9Hqb2msqV4I25DSqsgkVJXxsuuf87kqKSN4hQ62zPbJ2QeP3AefAvVe+d88cz1qG7cl7zmUid7TN9LlVQef1HFfZ8Pdn1ecJrpxfFttGDuZlSqTMCIQTfrAy5Kuqn/kqm54CFFH7q39/Ve+Ti7NadV8qMPhRwEbQPG56Bz+09RYLUfVzv6W4O8YC44/rc8kzx7ZTzp/gTHrIBhEw1+vKewNebyze+/Le2MLkvHUhe5r9vOVK0QZTuyqXVnHCr1zTk7SMjkVOZpskkrQnupJCIJfwk9Kcdj0aGaa9ulK/RBAQwi8WRnfVEFiB8KeIYvVL+ZIiIITPFiolRVqUpwEBIfw09ILUoWII1C/hVwxyMVxBBMpK+Di45BIMxAfEB8QHKuMDZSX8Ck5sYloQMCKAxCN/gkC9ICCEXy89Le00IiCEb4RFEmsUASH8Gu1YaVY0BITwo+EkUrWBQOUJn78/n9R5+FH7xvY2jS09qt6k5Gz1sKUnZbdUelJY71zCp9cVg+9kO+/Pp+mNFqonq5PpPXP+nZIE+jX0ewIJ6BcVpUWgwoSPTsu+fISEwN9nD2t7PvLIl4+6bTK29LD6FJKXz44t35ZuqkMcWVP5qGlR7ESRiWovITk74TMizWvLQL55yxQroNn0yJ7V25RWpFmf8Pm3WrW6GL5QVqRZKZ4QApUl/FISQBTdNhlbekKgR1Zjq4ct3aQ4jqypfNS0KHaiyES1l5BcbRA+fSOVLZ4SwkdX4xM+P+tHJ3y9lNynBYHKEr771enAl5Y8ZMiJnEdr5yia5uA5897xCezMe/WEQAOAvsLuH8VKX2036qOnC05MGPe+Om8YUCqfpbN7Oisk1Kb7yB1JNnb9cnEIHFlB+jzM6anHx5MfFEb9lFtXgx1vlaf3XzMYf8+A16GM8ViE762Y8Twb1mbPP7CttMIO+q/yAeV0hvRAeXcryfULIljyISdEG6RHj9vAI3lXv7d9mpuubHhbQeZ8/0gF028AUBk7Fs6JCiTn1ylo29YWSS8UgQoTPlabDxwiTifNcQqUQcdogOY2JF9XhkiZEazSRmfPU74JGcpTZekcb3bIGeWrulGdiAzdM3eYXn6OjhqgfsV9KdKpbGpt8KWcWEC2yPqRLqU5iKuxrnr9dLzD6uqRRNBOsP/89li31HQbJby3E75GQkjK2K+M9BU5qb4m4iKCI5/2fYcmSZ8oCQcq65/F5MvyVbQDAk0Avh527LaHvw4Y1YdskE2sH8Upz18chU32AfuByQdtk07Eo1DbuW3XWyX38RFIAeGzSuNgQqcNkBTL5+kUp5DE8B5XWcZ0NohNdvSy6p6VUSsxfxCTSZ+40LlZvl5et8nrmE8WjSkZ1ja9jKl+ug1OCjyPGsPTwuJ8VRrWLtJL9c9nn8uXIW4nfCLv3EoQIeeu5qkMEZ7uOzhpNGo/kEKyVNY/UNB5ovIJ01ndOzrDCVevc5gNvhfvlDNOKq5Kc56un9/zeBz9Qvh6LyZxny7CVysDRmh6C00ExNNQnu4pVDrQ6TQi1knKVBZ1eI/oemX4vUv0+ATiEVoEm14dI8gWWj/PBsOGqs7zTGk834tHqKsnS0rdUE/X7zXxctwWR/jkU4gJErFL2tgufh9oiCYbWA07gj6p+idv0kOjn8eJmiYFqk/AoLbi1m1wPYXmhbVJz+MTWphtIXy9F5O4ryjhK+clT8bW0ArffQz0s9Bp3C0dIlQiCzW4tNURFqR8hRKW92U8O3nLOgPJq4cmzzvAH4jkqCE29TbQREcKCQfNnoeX17YI9fNkUXlQ3tNHdpUIm7R4WS8eoV2ancCWDrVdt8XrUMZ4XMKnfvZW26o9iAkj/JxtDL5NopOcXtZEiETkROy4/aLp8baaND9X9cLjwunJAP2TbKJeivvlqI18S8cZAySr26d00sHveZ3j2KZxVEZnqANTFSV8xNd/POYDRuW4g8hxVOVwHumw1apKM509z53OH0SBgYpl1YBwbGSIjLgdb3CgDA08g2coXcF8Gjg5Ng12rLJF1y+Ig7MtpLWXN4e33RI31tXDSR/0lv5Dm1w/r0MZ43bCdzHi+Htxp589323wP+T2VvmM9L3+V06s9UcObr6vqi0dj8iD9ckhfMTMJEu+5tnx9QRJnPpNs28oh+0J2vdJ3Wm/rY1xbZfREerEVMUJv2icU0AaRbdBFFQMgVzCr1hVxLAgUHIEhPBLDrEYSDMCQvhp7h2pW9IIVD/hJ42I6KsrBITw66q7676xZSV8HFxyCQbiA+ID4gOV8YGyEn7dT68CQOoQQOKRP0GgXhAQwq+XnpZ2GhEQwjfCIok1ioAQfo12rDQrGgJC+NFwEqnaQKCihO+9x+y93+y+p+u8IFwbCGMr5NXR1PalEH5qu0YqVgIEKkr4fnvwixr+Fz/89AgxG5na0iOojCUSxU4UmVhGRTgpBIKEr39hKCkrokcQSAcCQvjF9kMUMo8iU2w9pHxBCAjhFwSbFKpSBNJL+EiS3lYP+yo7fVU8kO+fe+/0A/uqt1He8DShSNn/ijw/R6QWz4GvUn9NvNqc8INbjOgjtOL3jwRwjknw/YeOmXB8xCBfa9uTifeAKCwnAiklfCRsdi4NWyHjoCQyVmOJ5QWAC6Q7EwCNPTVI6YYKoTydlaPHadIgWQxJP4UqL2gncGiY94MTrCzXJ/GKIMAJ3z9UjAjdJ3DHXeie8vm5M3Sype+3NIHQgqEiDRSjggBDIJ2ErwhXX1XRQHIHHRF2gHDZYWwNeEKg+2MlmoxH1vzwNps8L6vXC/Xr+WSTgcztqWRehstJvOwIRCN8IvgwwqfTK3W/dX84pewtE4OCQC4CKSZ8GmRapYl0iVht5MnTeRzV6fd6Gs/34jjYadJhOrx8lqZVOcceL6PLyn1ZEUiM8BsbQ87AL2uTxJggYEUgnYSvn6eOBKne4vG3TJytnS4zeWNzA6Tql3OyGpyfq+OwcHljHAmfTUL8zHqafPR6qz1g7Rz/nLrxSki83AgURvg08Tt+5RwXTFs6uOXonOUuWzrl7k2xlw+BlBI+Vpsen/ERGQeYO7hoK8fND57LzZtL5V2SVpOG+7jtETSTN5J8cOKgD+i8882VHs1OoN7u75Zy3WhSv2fVkGh5EQgSvk/g5nPdLWfOq/PhkeR5edfXPH8tb7vEmiBgQiAlhG+qmqQJAqVHIEj4pbcnFgSBSiIghF9J9MV2xREQwq94F0gFyoiAEH4ZwRZT6UNACD99fSI1Kh0CZSV8HFxyCQbiA+ID4gOV8YGyEv6pEwHkEgzS5ANIPPInCFQDAtdccw0UewnhyyRU15OwEH41UJ3UERFAsh8eHi74wvJC+EL4QvjCJ4JAFSBAhL9v3z6Ie+FEUXnCfwlgswHo+W8kuO2BNvYAXJwksefTacu3pZvqFkfWVD6htDEbnQ5KtE/C6pan3VQfVauNxftJcIXvfKci59V5/JId/9KdwWclSRAoNQK1Qfg6GecZ8JH2f7kOHg8jmjh5Np2UTqGu05auy+G9TdaWbtLB0+KUY7LzAWAM11NMnOm19mOIzMUrAICRfMsegGInoiDhu1+KC5A7TgL0zdpSD2nRLwjYESDC7+vrg7hXelb4OuFPBCiaZDhp8HgxZMXL5tNpy7elc90UjyNLZcLCQvQVUqbYOsSwiRPA5hXFrfJzCF9xPh294Xxzlo5KsA9FyREESo8AEf7evXsh7pVewqcBTyERCN27YYu71YAw66s8XPmpP5xMwuQxzxXFoOUlM3ngBER/ypZNp5tONtU2kmYDDBOcWs2TAVpRu7rmU1u0dJNuXn+9zgFMJgKo1bJrM4c0Xdscm8AqX6sblif9pCuw9eL2EclwDPR60pNNWP/S0wHq0/ue8qKGJsKnIxIaGoj4XaD48Rxs1c+P3JDJgTmyRBNFgAi/t7cX4l7pIXwDJIpcXFLx9t7pHkNO8pROEwOGPC1EHgnDI0lehunSSQUJquUNSx1IB4UTHSL0SOkNAE52RErchrdtodU7kO5OGrb6c31ow6szm2wwzcOZ4tRuqj+FlE6hWzeFnR5nNqh9Xn9o+qz1zNe/EwHUhMK2dzxbVMeIoZnwTVs7uNpnWzveeUi45cPPa2IH7Bl8W5IEgUIRIMJfv349xL3SQ/gaQXgkoJGDjTS8dD7AeVkeRxm6x9CAvDcBcFmu25TOdWJ79HsqT+l0H0UXybr1HUM63Hu9CWoy0jBVZEjlXH2IM/7RijxAmCRLIdWBQp4eFueV47igHl6O9JrSTXKWiTPQBq4zJB5K+PyQvcDqns68Z4f6eQeo8UZLXBBIDgEi/M7OTqDLO8jR+3VA8s2MJ4OyqSX8U3Ew48pNH+h0TyENYv0e03kaj/M8TNdXtqSTQr2sLZ3kbKGtHKZTGV0mXzrmm+qvl9P10r0b0taLacvGm7i0MoE6c3ssrp4qaIuM0ilEfTzO9evp+r27HWWcqLieiPF4hB++eneOQw6XSW74i6Z6Q4AIf82aNcAvE+nzfIynl/DZh7betgMOXlrV6QSg36MsT+NxLc97mqB0A4EGZCzbI549skWhtqWjtmUMq29uI7B1w+oTSHd18HKqDq58IN1UZ6wf+8wC5Y1PNqwdgdUzT7fEo/Rd3npSvxgwC9QH5Qq8IhO+/lsHasXfCG0qpK0ebdun3hhJ2ltSBIjwV69eDfrFSV/Pw/tUEz4RgSI5gnCP+z49J5gQQkDCwT9vC4QIQStPcigbID2SdwnT0eZ+SKjpCCN8ImJVntrAdCuiQn1kgMiNp2EeT6e4Vjdef94u+gyB0nA1z7HNWS1T+yg01ZfqwGVYnOuntuPnMbwO2Ha6Rxn+gXjOZzesDqg7p84sPw75Ryd8rCH99gE+NhPJ488bNAANOPnQVvW2/CsBAkT4HR0dYLrQB03pmJYOwi9wkMYZ0DUny0i15tpWAX+wEn4JBqyoFASKQYAIf+XKlRD3EsKvALkUTdC4rYV/CbydUnRdqhE/Q52F8F2fkiD1CBDhI3kXcmF5OUvHQAJChoXviVcbdkL4qec5qaCLABJ2sVdZCR8Hl1yCgfiA+ID4QGV8wEr4Mq0KAoKAICAI1BYCQvi11Z/SGkFAEBAErAgI4VuhkQxBQBAQBGoLARPh/380WSyaS2jcrwAAAABJRU5ErkJggg==)
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