WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students
Background: Dysmenorrhea is a frequent and misdiagnosed symptom affecting the quality of life in young women. A working ability, location, intensity, days of pain, dysmenorrhea (WaLIDD) score was designed to diagnose dysmenorrhea and to predict medical leave. Methods: This cross-sectional design inc...
- Autores:
-
Teherán, Aníbal A
Piñeros, Luis Gabriel
Pulido, Fabián
Mejía Guatibonza, María Camila
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Fundación Universitaria de Ciencias de la Salud - FUCS
- Repositorio:
- Repositorio Digital Institucional ReDi
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.fucsalud.edu.co:001/1475
- Acceso en línea:
- https://repositorio.fucsalud.edu.co/handle/001/1475
- Palabra clave:
- Dysmenorrhea
Sick leave
Diagnosis
Medical students
Clinical decision making
Dismenorrea
Ausencia por enfermedad
Diagnóstico
Estudiantes de medicina
Toma de decisiones clínicas
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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dc.title.eng.fl_str_mv |
WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students |
title |
WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students |
spellingShingle |
WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students Dysmenorrhea Sick leave Diagnosis Medical students Clinical decision making Dismenorrea Ausencia por enfermedad Diagnóstico Estudiantes de medicina Toma de decisiones clínicas |
title_short |
WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students |
title_full |
WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students |
title_fullStr |
WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students |
title_full_unstemmed |
WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students |
title_sort |
WaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students |
dc.creator.fl_str_mv |
Teherán, Aníbal A Piñeros, Luis Gabriel Pulido, Fabián Mejía Guatibonza, María Camila |
dc.contributor.author.none.fl_str_mv |
Teherán, Aníbal A Piñeros, Luis Gabriel Pulido, Fabián Mejía Guatibonza, María Camila |
dc.subject.proposal.eng.fl_str_mv |
Dysmenorrhea Sick leave Diagnosis Medical students Clinical decision making |
topic |
Dysmenorrhea Sick leave Diagnosis Medical students Clinical decision making Dismenorrea Ausencia por enfermedad Diagnóstico Estudiantes de medicina Toma de decisiones clínicas |
dc.subject.decs.none.fl_str_mv |
Dismenorrea Ausencia por enfermedad Diagnóstico Estudiantes de medicina Toma de decisiones clínicas |
description |
Background: Dysmenorrhea is a frequent and misdiagnosed symptom affecting the quality of life in young women. A working ability, location, intensity, days of pain, dysmenorrhea (WaLIDD) score was designed to diagnose dysmenorrhea and to predict medical leave. Methods: This cross-sectional design included young medical students, who completed a self-administered questionnaire that contained the verbal rating score (VRS; pain and drug subscales) and WaLIDD scales. The correlation between scales was established through Spearman test. The area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, and likelihood ratio (LR +/-) were evaluated to diagnose students availing medical leave due to dysmenorrhea; moreover, to predict medical leave in students with dysmenorrhea, a binary logistic regression was performed. Results: In all, 585 students, with a mean age of 21 years and menarche at 12 years, participated. Most of them had regular cycles, 5 days of menstrual blood flow and 1–2 days of lower abdominal pain. The WaLIDD scale presented an adequate internal consistency and strong correlation with VRS subscales. With a cutoff of >6 for WaLIDD and 2 for VRS subscales (drug subscale and pain subscale) to identify students with dysmenorrhea, these scales presented an area under the curve (AUC) ROC of 0.82, 0.62, and 0.67, respectively. To identify students taking medical leave due to dysmenorrhea, WaLIDD (cutoff >9) and VRS subscales (cutoff >2) presented an AUC ROC of 0.97, 0.68, and 0.81; moreover, the WaLIDD scale showed a good LR +14.2 (95% CI, 13.5–14.9), LR -0.00 (95% CI, undefined), and predictive risk (OR 5.38; 95% CI, 1.78–16.2). Conclusion: This research allowed a comparison between two multidimensional scales regarding their capabilities, one previously validated and a new one, to discriminate among the general population of medical students, among those with dysmenorrhea or those availing medical leave secondary to dysmenorrhea. WaLIDD score showed a larger effect size than the pain and drug score in the students. In addition, this study demonstrated the ability to predict this combination of events. |
publishDate |
2018 |
dc.date.issued.none.fl_str_mv |
2018 |
dc.date.accessioned.none.fl_str_mv |
2021-04-28T19:47:53Z |
dc.date.available.none.fl_str_mv |
2021-04-28T19:47:53Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
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info:eu-repo/semantics/article |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/resource_type/c_6501 |
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dc.identifier.doi.none.fl_str_mv |
10.2147/IJWH.S143510 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.fucsalud.edu.co/handle/001/1475 |
identifier_str_mv |
10.2147/IJWH.S143510 |
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https://repositorio.fucsalud.edu.co/handle/001/1475 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
International Journal of Women's Health Vol. 10 (2018) |
dc.relation.citationendpage.spa.fl_str_mv |
45 |
dc.relation.citationstartpage.spa.fl_str_mv |
35 |
dc.relation.citationvolume.spa.fl_str_mv |
10 |
dc.relation.ispartofjournal.spa.fl_str_mv |
International Journal of Women's Health |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.creativecommons.spa.fl_str_mv |
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) |
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https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by/4.0/ http://purl.org/coar/access_right/c_abf2 |
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10 p. |
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application/pdf |
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Taylor & Francis Group |
dc.publisher.place.spa.fl_str_mv |
Londres |
dc.source.spa.fl_str_mv |
https://www.dovepress.com/walidd-score-a-new-tool-to-diagnose-dysmenorrhea--and-predict-medical--peer-reviewed-fulltext-article-IJWH# |
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Fundación Universitaria de Ciencias de la Salud - FUCS |
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spelling |
Teherán, Aníbal A40e4396c7130a470ae1c138943ec903cPiñeros, Luis Gabrielf9fe1f64e506feba78577063963a0646Pulido, Fabiánf5a5de4b06f71240462c717aa47d6763Mejía Guatibonza, María Camilae140a4ad77f10675b738dfdd9d31a9352021-04-28T19:47:53Z20182021-04-28T19:47:53ZTaylor & Francis GroupLondresBackground: Dysmenorrhea is a frequent and misdiagnosed symptom affecting the quality of life in young women. A working ability, location, intensity, days of pain, dysmenorrhea (WaLIDD) score was designed to diagnose dysmenorrhea and to predict medical leave. Methods: This cross-sectional design included young medical students, who completed a self-administered questionnaire that contained the verbal rating score (VRS; pain and drug subscales) and WaLIDD scales. The correlation between scales was established through Spearman test. The area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, and likelihood ratio (LR +/-) were evaluated to diagnose students availing medical leave due to dysmenorrhea; moreover, to predict medical leave in students with dysmenorrhea, a binary logistic regression was performed. Results: In all, 585 students, with a mean age of 21 years and menarche at 12 years, participated. Most of them had regular cycles, 5 days of menstrual blood flow and 1–2 days of lower abdominal pain. The WaLIDD scale presented an adequate internal consistency and strong correlation with VRS subscales. With a cutoff of >6 for WaLIDD and 2 for VRS subscales (drug subscale and pain subscale) to identify students with dysmenorrhea, these scales presented an area under the curve (AUC) ROC of 0.82, 0.62, and 0.67, respectively. To identify students taking medical leave due to dysmenorrhea, WaLIDD (cutoff >9) and VRS subscales (cutoff >2) presented an AUC ROC of 0.97, 0.68, and 0.81; moreover, the WaLIDD scale showed a good LR +14.2 (95% CI, 13.5–14.9), LR -0.00 (95% CI, undefined), and predictive risk (OR 5.38; 95% CI, 1.78–16.2). Conclusion: This research allowed a comparison between two multidimensional scales regarding their capabilities, one previously validated and a new one, to discriminate among the general population of medical students, among those with dysmenorrhea or those availing medical leave secondary to dysmenorrhea. WaLIDD score showed a larger effect size than the pain and drug score in the students. In addition, this study demonstrated the ability to predict this combination of events.https://www.dovepress.com/walidd-score-a-new-tool-to-diagnose-dysmenorrhea--and-predict-medical--peer-reviewed-fulltext-article-IJWH#10 p.application/pdfWaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university studentsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a8510.2147/IJWH.S143510https://repositorio.fucsalud.edu.co/handle/001/1475engInternational Journal of Women's Health Vol. 10 (2018)453510International Journal of Women's Healthinfo:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2DysmenorrheaSick leaveDiagnosisMedical studentsClinical decision makingDismenorreaAusencia por enfermedadDiagnósticoEstudiantes de medicinaToma de decisiones clínicasPublicationORIGINALWaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students-1.pdfWaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students-1.pdfapplication/pdf156694https://repositorio.fucsalud.edu.co/bitstreams/e10c3871-2dd7-4fa6-bb85-51c863d0a175/downloade8fb6c45f96f5c6ade910b5b6a97e730MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-815424https://repositorio.fucsalud.edu.co/bitstreams/01df2267-bbdd-481b-a21e-015a77e8cd23/downloadf6cfdd0a0be8a7a8b575d6cd88a94402MD52TEXTWaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students-1.pdf.txtWaLIDD score, a new tool to diagnose dysmenorrhea and predict medical leave in university students-1.pdf.txtExtracted 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yYXRhbWllbnRvIHNlYSBvIG5vIGF1dG9tYXRpemFkbyB5IHBhcmEgdXNhcmxvcyBjb25mb3JtZSBhIGxvIGV4cHJlc2FkbyBlbiBlbCBwcmVzZW50ZSBkb2N1bWVudG8sIGRlIGFjdWVyZG8gY29uIGxhIHBvbMOtdGljYSBpbnRlcm5hIGRlIHByb3RlY2Npw7NuIGRlIGRhdG9zLgpFbCBVc3VhcmlvIGVudGllbmRlIHkgYWNlcHRhIHF1ZSBsYSBGVUNTIHBvZHLDoSBlZmVjdHVhciBlbCB0cmF0YW1pZW50byBkZSBsb3MgZGF0b3MgZGVsIHVzdWFyaW8sIGRlIG1hbmVyYSBkaXJlY3RhIG8gYSB0cmF2w6lzIGRlIHRlcmNlcm9zIGV4cHJlc2FtZW50ZSBkZXNpZ25hZG9zIHBvciBlbGxhLCBxdWllbmVzIGFjdHVhcsOhbiBjb21vIGVuY2FyZ2Fkb3MgZGVsIHRyYXRhbWllbnRvIGRlIHN1IGluZm9ybWFjacOzbiBwZXJzb25hbCwgY29uIGxhcyBvYmxpZ2FjaW9uZXMgcXVlIGxhIGxleSBjb250ZW1wbGUuCkxhIGluZm9ybWFjacOzbiBkZSByZWdpc3RybyBxdWUgc2UgbGUgc29saWNpdGEgYWwgdXN1YXJpbyBlcyBsYSBtw61uaW1hIHBhcmEgZGFyIGN1bXBsaW1pZW50byBhIGxhIHBvbMOtdGljYSBkZSB0cmF0YW1pZW50byB5IHByb3RlY2Npw7NuIGRlIGRhdG9zIHBlcnNvbmFsZXMgZGUgbGEgRlVDUyB5IGFsYXMgbm9ybWFzIGxlZ2FsZXMgdmlnZW50ZXMgZW4gQ29sb21iaWEuCkVuIGVsIHByb2Nlc28gZGUgcmVnaXN0cm8sIHNlIGxlIGFkdmVydGlyw6EgYWwgdXN1YXJpbyBjb24gdW4gYXN0ZXJpc2NvICgqKSBxdcOpIGluZm9ybWFjacOzbiBkZWJlIHNlciBzdW1pbmlzdHJhZGEgb2JsaWdhdG9yaWFtZW50ZSB5IGN1w6FsIGVzIG9wY2lvbmFsLgpFbCB1c3VhcmlvIGRlIGVzdGUgc2l0aW8gd2ViIGVudGllbmRlIHkgYWNlcHRhIHF1ZSBzdXMgZGF0b3MgcGVyc29uYWxlcyBzZSByZWNvcGlsYW4gY29uIGVsIGZpbiBkZSBwcm9jdXJhcmxlIHVuIHNlcnZpY2lvIGVmaWNpZW50ZSB5IHBlcnNvbmFsaXphZG8sIHkgcXVlIHBvZHLDoW4gc2VyIHVzYWRvcyBjb24gZmluZXMgYWNhZMOpbWljb3MsIGludmVzdGlnYXRpdm9zIHkgY29tZXJjaWFsZXMsIHBvciBsbyBjdWFsIGF1dG9yaXphIGV4cHJlc2FtZW50ZSBxdWUgc2VhbiB1c2Fkb3MgcGFyYSByZW1pdGlyIGluZm9ybWFjacOzbiBkZSBzdXMgcHJvZ3JhbWFzIGFjYWTDqW1pY29zIGZvcm1hbGVzIGUgaW5mb3JtYWxlcywgcGFyYSBkYXIgY3VtcGxpbWllbnRvIGEgc3VzIG9ibGlnYWNpb25lcyBjb250cmFjdHVhbGVzIG8gbGVnYWxlcywgcGFyYSBldmFsdWFyIGxhIGNhbGlkYWQgZGVsIHNlcnZpY2lvLCBhc8OtIGNvbW8gcGFyYSByZW1pdGlyIGluZm9ybWFjacOzbiBkZSBzdXMgcHJveWVjdG9zLCBwbGFuZXMgeSBkZW3DoXMgaW5mb3JtYWNpw7NuIGluc3RpdHVjaW9uYWwgZGUgbGEgRlVDUy4gRW4gdG9kbyBjYXNvLCBlc3RhIGluZm9ybWFjacOzbiBzZXLDoSB1dGlsaXphZGEgZW4gZGVzYXJyb2xsbyBkZSBsYXMgZnVuY2lvbmVzIHByb3BpYXMgZGUgbGEgRlVDUy4KMy4gRGl2dWxnYWNpw7NuIGRlIGxhIGluZm9ybWFjacOzbiBkZSByZWdpc3RybzoKIApMYSBpbmZvcm1hY2nDs24gZGUgcmVnaXN0cm8gZGUgY2FkYSB1c3VhcmlvIGVzIGNvbmZpZGVuY2lhbCwgeSBubyBzZSBjb21wYXJ0aXLDoSBjb24gb3RyYXMgcGVyc29uYXMgbyBlbnRpZGFkZXMsIHNhbHZvIGN1YW5kbyBsYSBGVUNTIGNvbnNpZGVyZSBxdWUgc2UgcHJlc2VudGVuIGxvcyBzaWd1aWVudGVzIGNhc29zOgogCkN1YW5kbyBsYSBhdXRvcml6YWNpw7NuIGRlbCB0aXR1bGFyIG5vIHNlYSBvYmxpZ2F0b3JpYSAoTnVtZXJhbCA4LiDigJxBdXRvcml6YWNpw7NuIGRlbCBUaXR1bGFy4oCdIOKAkyBQb2zDrXRpY2EgZGUgVHJhdGFtaWVudG8geSBQcm90ZWNjacOzbiBkZSBEYXRvcyBQZXJzb25hbGVzIGRlIGxhIEZVQ1MpClBvciBsYSBleGlzdGVuY2lhIGRlIHVuIG1hbmRhdG8gbGVnYWwsIGRlYmVyIGVzdGF0dXRhcmlvIG8ganVkaWNpYWwgcXVlIG9ibGlndWUgYSBzdW1pbmlzdHJhcmxhLgpDdWFscXVpZXIgb3RyYSBleGNlcGNpw7NuIGRlZmluaWRhIGVuIGxhcyBsZXllcyBhcGxpY2FibGVzCkVuIHRvZG8gY2FzbywgZWwgVXN1YXJpbyBlbnRpZW5kZSB5IGFjZXB0YSBxdWUgc3VzIGRhdG9zIHBlcnNvbmFsZXMgZXZlbnR1YWxtZW50ZSBzZSBjb21wYXJ0aXLDoW4gY29uIG90cmFzIGVudGlkYWRlcyB1IG9yZ2FuaXphY2lvbmVzIHByaXZhZGFzIG8gZXN0YXRhbGVzLCBjb24gZWwgZmluIGRlIGN1bXBsaXIgY29uIGxvcyBkZWJlcmVzIHkgb2JsaWdhY2lvbmVzIHF1ZSBsZWdhbG1lbnRlIHRpZW5lIGNvbW8gSW5zdGl0dWNpw7NuIGRlIEVkdWNhY2nDs24gU3VwZXJpb3IuCiAKNC4gT2JsaWdhY2lvbmVzIHkgZGViZXJlcyBkZWwgdXN1YXJpbzoKIApFbCB1c3VhcmlvIGVzdMOhIGRlIGFjdWVyZG8gZW4gcHJvcG9yY2lvbmFyIGEgbGEgRlVDUywgaW5mb3JtYWNpw7NuIHZlcmRhZGVyYSwgcHJlY2lzYSwgYWN0dWFsaXphZGEgeSBjb21wbGV0YSwgc2Vnw7puIHNlIGluZGlxdWUgZW4gZWwgZm9ybXVsYXJpbyBkZSByZWdpc3Ryby4gSWd1YWxtZW50ZSwgZWwgdXN1YXJpbyBlc3TDoSBkZSBhY3VlcmRvIGVuIGNvbGFib3JhciBjb24gbGEgRlVDUywgcGFyYSBtYW50ZW5lciBlc3RhIGluZm9ybWFjacOzbiBhY3R1YWxpemFkYSB5IGNvbXBsZXRhLgogCkVsIHVzdWFyaW8gc2Ugb2JsaWdhIGEgbm8gcmVwcm9kdWNpciwgZHVwbGljYXIsIGNvcGlhciwgdmVuZGVyLCByZXZlbmRlciBvIGV4cGxvdGFyIHBhcmEgZmluZXMgY29tZXJjaWFsZXMsIGN1YWxxdWllciBzZWNjacOzbiBkZWwgc2VydmljaW8sIHVzbyBvIGFjY2VzbyBhbCBtaXNtby4gVGFudG8gZWwgc2VydmljaW8gY29tbyB0ZXJjZXJvcyBwb2Ryw6FuIHByb3BvcmNpb25hciB2w61uY3Vsb3MgYSBvdHJvcyBzaXRpb3MgbyByZWN1cnNvcyBkZSBsYSByZWQgbXVuZGlhbC4gRGViaWRvIGEgcXVlIGxhIEZVQ1Mgbm8gdGllbmUgY29udHJvbCBhbGd1bm8gc29icmUgZGljaG9zIHNpdGlvcyBvIHJlY3Vyc29zLCBlbCB1c3VhcmlvIHJlY29ub2NlIHkgYWNlcHRhIHF1ZSBsYSBGVUNTIG5vIHNlcsOhIHJlc3BvbnNhYmxlIHBvciBsYSBkaXNwb25pYmlsaWRhZCBkZSBsb3Mgc2l0aW9zIG8gcmVjdXJzb3MgZXh0ZXJub3MgbmkgcG9yIGN1YWxxdWllciBjb250ZW5pZG8sIHB1YmxpY2lkYWQsIHByb2R1Y3Rvcywgc2VydmljaW9zIHUgb3RybyB0aXBvIGRlIG1hdGVyaWFsIGNvbnRlbmlkbyDDsyBhIGRpc3Bvc2ljacOzbiBlbiB0YWxlcyBzaXRpb3MgbyByZWN1cnNvcy4KIApFbCB1c3VhcmlvIHJlY29ub2NlIHkgYWNlcHRhIHF1ZSBsYSBGVUNTIG5vIHNlcsOhIHJlc3BvbnNhYmxlLCBkaXJlY3RhIG8gaW5kaXJlY3RhbWVudGUsIHBvciBjdWFscXVpZXIgZGHDsW8gbyBwZXJqdWljaW8gY2F1c2FkbyBvIHF1ZSBzZSBwcmVzdW1hIHF1ZSBzZWEgY2F1c2FkbyBwb3IgdGFsZXMgY29udGVuaWRvcywgcHJvZHVjdG9zIG8gc2VydmljaW9zIGRpc3BvbmlibGVzIGVuIGRpY2hvcyBzaXRpb3MgbyByZWN1cnNvcyBleHRlcm5vcywgbyBwb3IgbGEgdXRpbGl6YWNpw7NuIG8gY29uZmlhbnphIGRlcG9zaXRhZGEgcG9yIGVsIHVzdWFyaW8gZW4gdGFsZXMgY29udGVuaWRvcywgcHJvZHVjdG9zIG8gc2VydmljaW9zLgogCkVsIHVzdWFyaW8gc2Ugb2JsaWdhIGEgTk8gdXRpbGl6YXIgZWwgcG9ydGFsIHdlYiBuaSBlc3RlIFNlcnZpY2lvIGNvbiBlbCBmaW4gZGU6CiAKUG9uZXIgYSBkaXNwb3NpY2nDs24gZGUgbG9zIGRlbcOhcywgZW52aWFyIHBvciBlLW1haWwgbywgZGUgY3VhbHF1aWVyIG1vZG8sIHRyYW5zbWl0aXIgY29udGVuaWRvcyBpbGVnYWxlcywgZGHDsWlub3MsIG1vbGVzdG9zLCBhbWVuYXphZG9yZXMsIGFidXNpdm9zLCB0b3J0dW9zb3MsIGRpZmFtYXRvcmlvcywgdnVsZ2FyZXMsIG9ic2Nlbm9zLCBpbnZhc29yZXMgZGUgbGEgaW50aW1pZGFkIGRlIHRlcmNlcm9zLCBvZGlvc29zLCB4ZW7Ds2ZvYm9zLCByYWNpc3RhcywgaWxlZ2FsZXMgbywgZGUgYWxnw7puIG1vZG8sIGluYWNlcHRhYmxlczsKSGFjZXJzZSBwYXNhciBvIGZpbmdpciBzZXIgY3VhbHF1aWVyIG90cmEgcGVyc29uYSBvIGVudGlkYWQsIGluY2x1eWVuZG8sIHNpbiBsaW1pdGFjacOzbiwgdW4gcmVwcmVzZW50YW50ZSBkZSBsYSBGVUNTLCBmdW5kYWRvciwgZ3XDrWEgbyBhbmZpdHJpw7NuIGRlIGZvcnVtcywgbyBkZSBjdWFscXVpZXIgb3RybyBtb2RvIG1lbnRpciBvIGZpbmdpciBzb2JyZSBzdSByZWxhY2nDs24gY29uIGN1YWxxdWllciBvdHJhIHBlcnNvbmEgbyBhZmlsaWFjacOzbiBhIGN1YWxxdWllciBlbnRpZGFkOwpQb25lciBhIGRpc3Bvc2ljacOzbiBkZSBsb3MgZGVtw6FzIHVzdWFyaW9zLCBlbnZpYXIgcG9yIGUtbWFpbCBvLCBkZSBhbGfDum4gbW9kbyB0cmFuc21pdGlyLCBjdWFscXVpZXIgY29udGVuaWRvIHF1ZSwgZGUgYWN1ZXJkbyBjb24gbGFzIGxleWVzIGFwbGljYWJsZXMgbyByZWxhY2lvbmVzIGNvbnRyYWN0dWFsZXMgZXhpc3RlbnRlcywgZWwgdXN1YXJpbyBubyBlc3TDoSBhdXRvcml6YWRvIGEgdHJhbnNtaXRpciAodGFsZXMgY29tbyBpbmZvcm1hY2nDs24gcHJpdmlsZWdpYWRhLCBpbmZvcm1hY2nDs24gcHJvdGVnaWRhIHBvciBkZXJlY2hvcyBkZSBwcm9waWVkYWQgaW5kdXN0cmlhbCBvIGludGVsZWN0dWFsIG8gaW5mb3JtYWNpw7NuIHNvYnJlIGxhIGN1YWwgdGllbmUgdW4gZGViZXIgZGUgY29uZmlkZW5jaWFsaWRhZCkuClBvbmVyIGEgZGlzcG9zaWNpw7NuIGRlIGxvcyBkZW3DoXMgdXN1YXJpb3MsIGVudmlhciBwb3IgZS1tYWlsIG8sIGRlIGFsZ8O6biBtb2RvLCB0cmFuc21pdGlyIGNvbnRlbmlkbyBhbGd1bm8gc3VzY2VwdGlibGUgZGUgaW5mcmluZ2lyIHBhdGVudGVzLCBtYXJjYXMsIHNlY3JldG9zIGNvbWVyY2lhbGVzLCBkZXJlY2hvcyBkZSBhdXRvciB1IG90cm9zIGRlcmVjaG9zIGRlIHRlcmNlcm9zICgiRGVyZWNob3MiKTsKUG9uZXIgYSBkaXNwb3NpY2nDs24gZGUgbG9zIGRlbcOhcyB1c3VhcmlvcywgZW52aWFyIHBvciBlLW1haWwgbywgZGUgYWxnw7puIG1vZG8sIHRyYW5zbWl0aXIgcHVibGljaWRhZCBubyBzb2xpY2l0YWRhIG8gYXV0b3JpemFkYSwgbWF0ZXJpYWwgcHVibGljaXRhcmlvLCAiY29ycmVvIGJhc3VyYSIsICJjYXJ0YXMgZW4gY2FkZW5hIiwgImVzdHJ1Y3R1cmFzIHBpcmFtaWRhbGVzIiwgbyBjdWFscXVpZXIgb3RyYSBmb3JtYSBkZSBzb2xpY2l0dWQ7ClBvbmVyIGEgZGlzcG9zaWNpw7NuIGRlIGxvcyBkZW3DoXMgdXN1YXJpb3MsIGVudmlhciBwb3IgZS1tYWlsIG8sIGRlIGFsZ8O6biBtb2RvLCB0cmFuc21pdGlyIG1hdGVyaWFsIGFsZ3VubyBxdWUgc2VhIHBvcnRhZG9yIGRlIHZpcnVzIG8gY3VhbHF1aWVyIG90cm8gY8OzZGlnbyBpbmZvcm3DoXRpY28sIGFyY2hpdm9zIG8gcHJvZ3JhbWFzIGRpc2XDsWFkb3MgcGFyYSBpbnRlcnJ1bXBpciwgZGVzdHJ1aXIgbyBsaW1pdGFyIGVsIGZ1bmNpb25hbWllbnRvIGRlIGN1YWxxdWllciBzb2Z0d2FyZSwgaGFyZHdhcmUgbyBlcXVpcG8gZGUgdGVsZWNvbXVuaWNhY2lvbmVzOwpQb25lciBhIGRpc3Bvc2ljacOzbiBkZSBsb3MgZGVtw6FzIHVzdWFyaW9zLCBlbnZpYXIgcG9yIGUtbWFpbCBvLCBkZSBhbGfDum4gbW9kbyB0cmFuc21pdGlyLCBjdWFscXVpZXIgY29udGVuaWRvIHF1ZSwgZGUgYWN1ZXJkbyBjb24gbGFzIGxleWVzIGFwbGljYWJsZXMsIHNlYSBkZSBjYXLDoWN0ZXIgaWxlZ2FsIG8gaW1wbGlxdWUsIGF5dWRlIG8gY29hZHl1dmUgbGEgY29taXNpw7NuIGRlIGNvbmR1Y3RhcyBkZWxpY3R1YWxlcyBvIGlsZWdhbGVzIGRlIGN1YWxxdWllciBtYW5lcmEuCkludGVycnVtcGlyIGVsIGN1cnNvIG5vcm1hbCBkZSBsYXMgY29udmVyc2FjaW9uZXMsIHByb3ZvY2FyIHF1ZSBsYSBwYW50YWxsYSBkZWwgb3JkZW5hZG9yIGFkcXVpZXJhIG1heW9yIHZlbG9jaWRhZCBkZSBsYSBub3JtYWwgY29uIGxhIHF1ZSBsb3MgdXN1YXJpb3MgcHVlZGVuIHBhcnRpY2lwYXIgZW4gZWwgU2VydmljaW8sIG8gZGUgYWxnw7puIG1vZG8gYWN0dWFyIGRlIG1hbmVyYSBxdWUgYWZlY3RlIGRlIGZvcm1hIG5lZ2F0aXZhIGEgbGEgcG9zaWJpbGlkYWQgZGUgY29tdW5pY2Fyc2UgZW4gdGllbXBvIHJlYWw7CkludGVyZmVyaXIgbyBpbnRlcnJ1bXBpciBlbCBTZXJ2aWNpbywgc2Vydmlkb3JlcyBvIHJlZGVzIGNvbmVjdGFkb3MgYWwgU2VydmljaW8sIG8gaW5jdW1wbGlyIGxvcyByZXF1aXNpdG9zLCBwcm9jZWRpbWllbnRvcyB5IHJlZ3VsYWNpb25lcyBkZSBsYSBwb2zDrXRpY2EgZGUgcmVkZXMgY29uZWN0YWRhcyBhbCBzZXJ2aWNpby4KNS4gTGltaXRhY2lvbmVzIGRlIGxhIFJlc3BvbnNhYmlsaWRhZDoKIApDb24gdG9kYSBsYSBleHRlbnNpw7NuIHBlcm1pdGlkYSBwb3IgbGFzIGxleWVzIG5hY2lvbmFsZXMgYXBsaWNhYmxlcywgbGEgRlVDUyBubyBhc3VtZSByZXNwb25zYWJpbGlkYWQgY29udHJhY3R1YWwgbyBleHRyYWNvbnRyYWN0dWFsIGFsZ3VuYSBkZSBsb3MgZGHDsW9zIHkgcGVyanVpY2lvcyBkaXJlY3RvcywgaW5kaXJlY3RvcywgaW5jaWRlbnRhbGVzLCBlc3BlY2lhbGVzIG8gZW1lcmdlbnRlcyAoaW5jbHVzbyBzaSBsYSBGdW5kYWNpw7NuIFVuaXZlcnNpdGFyaWEgZGUgQ2llbmNpYXMgZGUgbGEgU2FsdWQgaHViaWVyYSBzaWRvIGFkdmVydGlkbyBkZSBsYSBwb3NpYmlsaWRhZCBkZSBsb3MgbWlzbW9zKSBxdWUgdHJhaWdhbiBjYXVzYSBkZWw6IGVsIHVzbyBvIGRlIGxhIGltcG9zaWJpbGlkYWQgZGUgdXNhciBlbCBzZXJ2aWNpbzsgZWwgZGVsIGFjY2VzbyBubyBhdXRvcml6YWRvIMOzIGFsdGVyYWNpw7NuIGRlIHN1cyB0cmFuc21pc2lvbmVzIGRlIGRhdG9zOyBlbCBkZWNsYXJhY2lvbmVzIGRlIGNvbmR1Y3RhIGRlIHRlcmNlcm9zIGEgdHJhdsOpcyBkZWwgc2VydmljaW8uCiAKRWwgdXN1YXJpbyBhY3VlcmRhIGFkZW3DoXMgcXVlIGxhIEZ1bmRhY2nDs24gVW5pdmVyc2l0YXJpYSBkZSBDaWVuY2lhcyBkZSBsYSBTYWx1ZCBubyBzZXLDoSByZXNwb25zYWJsZSBkZSBuaW5nw7puIGRhw7FvIG8gcGVyanVpY2lvIGRlcml2YWRvIGRlIGxhIGludGVycnVwY2nDs24sIHN1c3BlbnNpw7NuIG8gdGVybWluYWNpw7NuIGRlbCBzZXJ2aWNpbywgaW5jbHV5ZW5kbywgcGVybyBubyBsaW1pdMOhbmRvc2UsIGEgZGHDsW9zLCBsdWNybyBjZXNhbnRlLCB1c28sIGRhdG9zIHUgb3Ryb3MgYmllbmVzIGludGFuZ2libGVzLCBvIHBlcmp1aWNpb3MgZGlyZWN0b3MsIGluZGlyZWN0b3MsIGluY2lkZW50YWxlcywgZXNwZWNpYWxlcywgY29uc2VjdWVudGVzLCBvIGVqZW1wbGFyZXMsIHlhIHNlYSBxdWUgdGFsIGludGVycnVwY2nDs24sIHN1c3BlbnNpw7NuIG8gdGVybWluYWNpw7NuIHNlYSBqdXN0aWZpY2FkYSBvIG5vLCBuZWdsaWdlbnRlIMOzIGludGVuY2lvbmFsLCBhZHZlcnRpZGEgw7MgaW5hZHZlcnRpZGEuCiAKTGEgRlVDUywgc2UgcmVzZXJ2YSBlbCBkZXJlY2hvIGEgcmV0aXJhciBzaW4gcHJldmlhIG5vdGlmaWNhY2nDs24gYSBjdWFscXVpZXIgdXN1YXJpbyBxdWUgc2UgY29uc2lkZXJlIG9mZW5zaXZvIGVuIGxhcyBjb252ZXJzYWNpb25lcyBvIGRpw6Fsb2dvcyBkZSBsb3MgdXN1YXJpb3MgbyB2aXNpdGFudGVzIGRlbCBzaXRpbyB3ZWIgZW4gZm9yb3MgbyBjaGF0cy4KIApMYSBGVUNTIG5vIGVzIHJlc3BvbnNhYmxlIGNvbiByZXNwZWN0byBhIGxhIHByaXZhY2lkYWQgZGUgbGEgaW5mb3JtYWNpw7NuIHBlcnNvbmFsIHF1ZSBlbCB1c3VhcmlvIGRpdnVsZ3VlIG8gcmVtaXRhIGVuIGZvcm9zLCBzZXNpb25lcyBkZSBjaGF0IGRlbCBzaXRpbyB3ZWIsIGVuIGNvcnJlb3MgZWxlY3Ryw7NuaWNvcyBvIGVuIGN1YWxxdWllciBvdHJvIHNpdGlvIHdlYi4gRWwgdXN1YXJpbyBlcyBleGNsdXNpdm8gcmVzcG9uc2FibGUgZGUgbGEgcHJpdmFjaWRhZCB5IGN1c3RvZGlhIGRlIGN1YWxxdWllciBkYXRvIHBlcnNvbmFsIHF1ZSBlbnRyZWd1ZSBhIHVuYSBwZXJzb25hIG8gZW1wcmVzYSBkaWZlcmVudGUgRlVDUy4KIAo2LiBEZXJlY2hvcyBkZSBQcm9waWVkYWQgSW50ZWxlY3R1YWw6CiAKRWwgVXN1YXJpbyByZWNvbm9jZSB5IGFjZXB0YSBxdWUgZWwgc2VydmljaW8geSBjdWFscXVpZXIgc29mdHdhcmUgdXNhZG8gZW4gcmVsYWNpw7NuIGNvbiBlbCBzZXJ2aWNpbyBxdWUgY29udGllbmUgaW5mb3JtYWNpw7NuIGNvbmZpZGVuY2lhbCB5IGRlIHByb3BpZWRhZCBhamVuYSBwcm90ZWdpZGEgcG9yIGxhIGxlZ2lzbGFjacOzbiBkZSBwcm9waWVkYWQgaW50ZWxlY3R1YWwgeSBvdHJhcyBkaXNwb3NpY2lvbmVzIGxlZ2FsZXMuIEFkZW3DoXMgZWwgdXN1YXJpbyByZWNvbm9jZSB5IGFjZXB0YSBxdWUgZWwgY29udGVuaWRvIGluY2x1eWVuZG8sIHBlcm8gbm8gbGltaXTDoW5kb3NlLCB0ZXh0b3MsIHByb2dyYW1hcyAoYXBwbGV0cyksIGZvdG9ncmFmw61hcywgZ3LDoWZpY29zLCB2aWRlb3MgdSBvdHJvIG1hdGVyaWFsIGNvbnRlbmlkbyBlbiBlbCBzZXJ2aWNpbywgYXPDrSBjb21vIHRhbWJpw6luIGluZm9ybWFjaW9uZXMgZGl2dWxnYWRhcyBhbCB1c3VhcmlvIGEgdHJhdsOpcyBkZWwgc2VydmljaW8sIGVzdMOhIHByb3RlZ2lkbyBwb3IgZGVyZWNob3MgZGUgYXV0b3IsIG1hcmNhcyBjb21lcmNpYWxlcywgcGF0ZW50ZXMgeSBvdHJvcyBkZXJlY2hvcyBkZSBwcm9waWVkYWQgaW50ZWxlY3R1YWwsIGRlIGFjdWVyZG8gY29uIGxhIGxlZ2lzbGFjacOzbiBjb2xvbWJpYW5hLCBjb211bml0YXJpYSBlIGludGVybmFjaW9uYWwgYXBsaWNhYmxlLgogCkVsIFVzdWFyaW8gcmVjb25vY2UgeSBhY3VlcmRhIHF1ZSBzb2xhbWVudGUgcG9kcsOhIHV0aWxpemFyIHRhbGVzIG1hdGVyaWFsZXMgZSBpbmZvcm1hY2lvbmVzIHNlZ8O6biBsbyBleHByZXNhbWVudGUgYXV0b3JpemFkbyBwb3IgbGEgRlVDUywgeSBubyBwb2Ryw6EgY29waWFyLCByZXByb2R1Y2lyLCB0cmFuc21pdGlyLCBkaXN0cmlidWlyIG8gY3JlYXIgb2JyYXMgZGVyaXZhZGFzIGEgcGFydGlyIGRlIHRhbGVzIG1hdGVyaWFsZXMgbyBpbmZvcm1hY2lvbmVzIHNpbiBsYSBleHByZXNhIGF1dG9yaXphY2nDs24gZGVsIHJlc3BlY3Rpdm8gcHJvcGlldGFyaW8uCiAKRWwgVXN1YXJpbyBzZSBvYmxpZ2EgYSBubyBtb2RpZmljYXIgZWwgc29mdHdhcmUgaW52b2x1Y3JhZG8gZW4gZWwgcG9ydGFsIHdlYiBkZSBuaW5ndW5hIG1hbmVyYSwgbyB1dGlsaXphciB2ZXJzaW9uZXMgZGUgc29mdHdhcmUgbW9kaWZpY2FkYXMgY29uIGVsIGZpbiwgZW50cmUgb3Ryb3MsIGRlIG9idGVuZXIgYWNjZXNvIG5vIGF1dG9yaXphZG8gYWwgU2VydmljaW8uIEVsIFVzdWFyaW8gc2Ugb2JsaWdhIGEgbm8gYWNjZWRlciBhbCBTZXJ2aWNpbyBwb3Igb3Ryb3MgbWVkaW9zIHF1ZSBubyBzZWFuIGEgdHJhdsOpcyBkZSBsYSBpbnRlcmZheiBxdWUgbGEgRlVDUyBwcm9wb3JjaW9uYSBwYXJhIGFjY2VkZXIgYWwgU2VydmljaW8uCiAKNy4gR2FyYW50w61hIExpbWl0YWRhOgogCkVsIHVzbyBkZWwgc2VydmljaW8gc2Vyw6EgYmFqbyBleGNsdXNpdm8gcmllc2dvIHkgcmVzcG9uc2FiaWxpZGFkIGRlbCB1c3VhcmlvLiBFbCBzZXJ2aWNpbyBlcyBzdW1pbmlzdHJhZG8gZ3JhdHVpdGFtZW50ZSB5IGRlcGVuZGUgZGUgbGEgZnVuY2lvbmFsaWRhZCBkZSB2YXJpb3MgZmFjdG9yZXMsIGNvbW8gbGEgaW50ZXJhY2Npw7NuIGRlIHNlcnZpZG9yZXMgeSBzZXJ2aWNpb3MgZGUgdGVsZWNvbXVuaWNhY2lvbmVzIGRlIHRlcmNlcm9zLCBsYSBhZGVjdWFjacOzbiBkZSBsb3MgZXF1aXBvcyBkZSB1c3VhcmlvIHkgZGVzdGluYXRhcmlvIGRlbCBtZW5zYWplLiBDb25zaWRlcmFuZG8gdGFsZXMgZmFjdG9yZXMsIGxhIEZVQ1MgZW1wbGVhcsOhIHN1cyBtZWpvcmVzIGVzZnVlcnpvcyBwYXJhIHF1ZSBsb3MgbWVuc2FqZXMgZGUgZS1tYWlsIGVudmlhZG9zIGEgdHJhdsOpcyBkZWwgc2VydmljaW8sIHNlYW4gcmVjaWJpZG9zIHBvciBlbCBkZXN0aW5hdGFyaW8gZW4gZm9ybWEgY29ycmVjdGEgeSBzaW4gaW50ZXJmZXJlbmNpYXMuIFNpbiBlbWJhcmdvLCBwb3IgZXN0YXMgbWlzbWFzIHJhem9uZXMsIGxhIEZVQ1Mgbm8gcHVlZGUgZ2FyYW50aXphciBxdWUgbG9zIG1lbnNhamVzIHNlcsOhbiBlbnRyZWdhZG9zIGFsIGRlc3RpbmF0YXJpbyBjb3JyZWN0bywgZW4gdW4gcGxhem8gYWRlY3VhZG8sIG8gbm8gc3Vmcmlyw6FuIGV4dHJhdsOtbywgZGl2dWxnYWNpw7NuIG8gdmlvbGFjacOzbiBwb3IgcGFydGVzIGRlIHRlcmNlcm9zIG5vIGF1dG9yaXphZG9zLCBjb21vIHBvciBlamVtcGxvcyAiaGFja2VycyIuCiAKU2UgYWNvbnNlamEgYWwgdXN1YXJpbyBubyBjb25maWFyIGV4Y2x1c2l2YW1lbnRlIGVuIGVsIHNlcnZpY2lvIHBhcmEgZW52aWFyIGluZm9ybWFjaW9uZXMgaW1wb3J0YW50ZXMgbyBjb25maWRlbmNpYWxlcyB5IGxhIEZ1bmRhY2nDs24gVW5pdmVyc2l0YXJpYSBkZSBDaWVuY2lhcyBkZSBsYSBTYWx1ZCBubyBzZSByZXNwb25zYWJpbGl6YXLDoSBwb3IgbmluZ3VuYSBmYWxsYSByZXN1bHRhbnRlIGRlbCBlbnbDrW8gZGUgbWVuc2FqZXMgcG9yIHBhcnRlIGRlbCB1c3VhcmlvLgogCkxhIEZVQ1Mgbm8gZ2FyYW50aXphIHF1ZSBlbCBzZXJ2aWNpbyBzZSBwcmVzdGFyw6EgZGUgbWFuZXJhIGluaW50ZXJydW1waWRhLCBzZWd1cmEgbyBsaWJyZSBkZSBlcnJvci4gTGEgRlVDUyB0YW1wb2NvIG90b3JnYSBuaW5ndW5hIGdhcmFudMOtYSBlbiBjdWFudG8gYSBsb3MgcmVzdWx0YWRvcyBxdWUgc2UgcHVlZGFuIG9idGVuZXIgZGVsIHVzbyBkZWwgc2VydmljaW8sIG5pIHF1ZSBsb3MgZGVmZWN0b3MgZW4gbG9zIHByb2dyYW1hcyBzZXLDoW4gY29ycmVnaWRvcy4KIApFbCB1c3VhcmlvIHJlY29ub2NlIHkgYWN1ZXJkYSBxdWUgY3VhbHF1aWVyIG1hdGVyaWFsIHkvbyBpbmZvcm1hY2nDs24gb2J0ZW5pZGEgYSB0cmF2w6lzIGRlbCBzZXJ2aWNpbyBvIGRlIHN1IHV0aWxpemFjacOzbiwgZXN0YXLDoSBzdWpldGEgYSBzdSBlbnRlcm8gY3JpdGVyaW8geSByaWVzZ287IHkgcXVlIHNlcsOhIGVsIMO6bmljbyByZXNwb25zYWJsZSBkZSBjdWFscXVpZXIgZGHDsW8gb2N1cnJpZG8gZW4gc3UgY29tcHV0YWRvcmEgbyBww6lyZGlkYSBkZSBkYXRvcyBxdWUgcHVlZGEgcmVzdWx0YXIgZGUgcmVjaWJpciB0YWwgbWF0ZXJpYWwuCiAKTm90YTogc2kgcmVjaWJlIHVuIG1lbnNhamUgZGUgY29ycmVvIGVsZWN0csOzbmljbyBubyBzb2xpY2l0YWRvLCBvIGN1YWxxdWllciBtZW5zYWplIGFtZW5hemFkb3IgdSBvZmVuc2l2bywgbyBjb25zaWRlcmEgcXVlIG90cm8gdXN1YXJpbyBvIGN1YWxxdWllciBwZXJzb25hIGxlIGVzdMOhIHZ1bG5lcmFuZG8gdW4gZGVyZWNobyBjb25mb3JtZSBhIGVzdGUgZG9jdW1lbnRvLCByZW3DrXRhbm9zIHVuYSBjb3BpYSBjb21wbGV0YSB5IHNpbiBtb2RpZmljYXIgZGVsIG1lbnNhamUgZGUgY29ycmVvIGVsZWN0csOzbmljbyBjb24gbG9zIGVuY2FiZXphZG9zIGNvbXBsZXRvcyBhIGxhIHNpZ3VpZW50ZSBkaXJlY2Npw7NuIGVsZWN0csOzbmljYTogeWx0b3JvQGZ1Y3NhbHVkLmVkdS5jbwoKTGFzIHByZWd1bnRhcyBxdWUgZWwgdXN1YXJpbyBvIGN1YWxxdWllciBwZXJzb25hIGRlc2VlIHJlYWxpemFyIHNvYnJlIGxvIGV4cHJlc2FkbyBlbiBlc3RlIGRvY3VtZW50bywgbGFzIHB1ZWRlIGZvcm11bGFyIGEgbGEgc2lndWllbnRlIGRpcmVjY2nDs24gZWxlY3Ryw7NuaWNhOiB5bHRvcm9AZnVjc2FsdWQuZWR1LmNvCg== 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