Query Metrics
15
Database Queries
10
Different statements
139.19 ms
Query time
0
Invalid entities
Queries
#▲ | Time | Info |
---|---|---|
1 | 3.41 ms |
SELECT p0_.id AS id_0, p0_.anno AS anno_1, p0_.llamada AS llamada_2, p0_.fecha_inicio_registro AS fecha_inicio_registro_3, p0_.fecha_fin_registro AS fecha_fin_registro_4, p0_.fecha_acuartelamiento AS fecha_acuartelamiento_5, p0_.fecha_fin_dias AS fecha_fin_dias_6, p0_.hora_inicio_acuartelamiento AS hora_inicio_acuartelamiento_7, p0_.hora_fin_acuartelamiento AS hora_fin_acuartelamiento_8, p0_.fecha_fin_dias_posteriores AS fecha_fin_dias_posteriores_9, p0_.minutos_test AS minutos_test_10, p0_.bajas_permitidas AS bajas_permitidas_11, p0_.activo AS activo_12, p0_.cant_cursos AS cant_cursos_13, p0_.titulo_reporte_uniforme AS titulo_reporte_uniforme_14, p0_.titulo_reporte_jockey AS titulo_reporte_jockey_15, p0_.titulo_reporte_calzado AS titulo_reporte_calzado_16, p0_.titulo_reporte_camiseta AS titulo_reporte_camiseta_17, p0_.titulo_reporte_estudios AS titulo_reporte_estudios_18, p0_.foto_uniforme AS foto_uniforme_19, p0_.foto_jockey AS foto_jockey_20, p0_.foto_calzado AS foto_calzado_21, p0_.foto_camiseta AS foto_camiseta_22 FROM proceso_reclutamiento p0_ WHERE p0_.activo = true
Parameters:
[] |
2 | 35.12 ms |
SELECT t0.id AS id_1, t0.identificacion AS identificacion_2, t0.nombres AS nombres_3, t0.apellido_paterno AS apellido_paterno_4, t0.apellido_materno AS apellido_materno_5, t0.telefono AS telefono_6, t0.telefono_emergencias AS telefono_emergencias_7, t0.email AS email_8, t0.fecha_registro AS fecha_registro_9, t0.fecha_nacimiento AS fecha_nacimiento_10, t0.sexo AS sexo_11, t0.estado_civil AS estado_civil_12, t0.estatura AS estatura_13, t0.edad AS edad_14, t0.lugar_string AS lugar_string_15, t0.edad_string AS edad_string_16, t0.pais_nacimiento AS pais_nacimiento_17, t0.foto_cedula AS foto_cedula_18, t0.localizacion_nacimiento AS localizacion_nacimiento_19, t0.foto AS foto_20, t0.certif_covid AS certif_covid_21 FROM recluta t0 WHERE t0.identificacion = ? LIMIT 1
Parameters:
[
"0150623122"
]
|
3 | 3.27 ms |
SELECT r0_.id AS id_0, r0_.fecha_registro AS fecha_registro_1, r0_.pais_residencia AS pais_residencia_2, r0_.calle_principal_residencia AS calle_principal_residencia_3, r0_.calle_secundaria_residencia AS calle_secundaria_residencia_4, r0_.num_casa AS num_casa_5, r0_.referencias AS referencias_6, r0_.geometria AS geometria_7, r0_.fecha_consulta_antecedentes AS fecha_consulta_antecedentes_8, r0_.resultados_antecedentes AS resultados_antecedentes_9, r0_.fecha_consulta_estudios AS fecha_consulta_estudios_10, r0_.resultados_estudios AS resultados_estudios_11, r0_.idoneo AS idoneo_12, r0_.fecha_resultado AS fecha_resultado_13, r0_.fecha_asignacion AS fecha_asignacion_14, r0_.causa_rechazo AS causa_rechazo_15, r0_.observaciones AS observaciones_16, r0_.volver_presentarse AS volver_presentarse_17, r0_.intentos AS intentos_18, r0_.fecha_intento1 AS fecha_intento1_19, r0_.fecha_intento2 AS fecha_intento2_20, r0_.fecha_intento3 AS fecha_intento3_21, r0_.turno AS turno_22, r0_.fecha_baja AS fecha_baja_23, r0_.certificado_vacunacion_ok AS certificado_vacunacion_ok_24, r0_.talla_uniforme AS talla_uniforme_25, r0_.talla_jockey AS talla_jockey_26, r0_.talla_calzado AS talla_calzado_27, r0_.talla_camiseta AS talla_camiseta_28, r0_.estudio AS estudio_29, r0_.proceso AS proceso_30, r0_.base_movilizacion AS base_movilizacion_31, r0_.centro_movilizacion AS centro_movilizacion_32, r0_.unidad_militar AS unidad_militar_33, r0_.recluta AS recluta_34, r0_.localizacion_residencia AS localizacion_residencia_35, r0_.unidad_militar_inicial AS unidad_militar_inicial_36 FROM recluta_proceso r0_ LEFT JOIN recluta r1_ ON r0_.recluta = r1_.id WHERE r1_.id = ? AND r0_.idoneo = false AND r0_.volver_presentarse = ?
Parameters:
[ 190053 "NUNCA" ] |
4 | 2.47 ms |
SELECT r0_.id AS id_0, r0_.fecha_registro AS fecha_registro_1, r0_.pais_residencia AS pais_residencia_2, r0_.calle_principal_residencia AS calle_principal_residencia_3, r0_.calle_secundaria_residencia AS calle_secundaria_residencia_4, r0_.num_casa AS num_casa_5, r0_.referencias AS referencias_6, r0_.geometria AS geometria_7, r0_.fecha_consulta_antecedentes AS fecha_consulta_antecedentes_8, r0_.resultados_antecedentes AS resultados_antecedentes_9, r0_.fecha_consulta_estudios AS fecha_consulta_estudios_10, r0_.resultados_estudios AS resultados_estudios_11, r0_.idoneo AS idoneo_12, r0_.fecha_resultado AS fecha_resultado_13, r0_.fecha_asignacion AS fecha_asignacion_14, r0_.causa_rechazo AS causa_rechazo_15, r0_.observaciones AS observaciones_16, r0_.volver_presentarse AS volver_presentarse_17, r0_.intentos AS intentos_18, r0_.fecha_intento1 AS fecha_intento1_19, r0_.fecha_intento2 AS fecha_intento2_20, r0_.fecha_intento3 AS fecha_intento3_21, r0_.turno AS turno_22, r0_.fecha_baja AS fecha_baja_23, r0_.certificado_vacunacion_ok AS certificado_vacunacion_ok_24, r0_.talla_uniforme AS talla_uniforme_25, r0_.talla_jockey AS talla_jockey_26, r0_.talla_calzado AS talla_calzado_27, r0_.talla_camiseta AS talla_camiseta_28, r0_.estudio AS estudio_29, r0_.proceso AS proceso_30, r0_.base_movilizacion AS base_movilizacion_31, r0_.centro_movilizacion AS centro_movilizacion_32, r0_.unidad_militar AS unidad_militar_33, r0_.recluta AS recluta_34, r0_.localizacion_residencia AS localizacion_residencia_35, r0_.unidad_militar_inicial AS unidad_militar_inicial_36 FROM recluta_proceso r0_ LEFT JOIN proceso_reclutamiento p1_ ON r0_.proceso = p1_.id LEFT JOIN recluta r2_ ON r0_.recluta = r2_.id WHERE r2_.id = ? AND p1_.activo = true
Parameters:
[
190053
]
|
5 | 5.95 ms |
SELECT n0_.id AS id_0, n0_.valor AS valor_1, n0_.nivel_localizacion AS nivel_localizacion_2, n0_.padre AS padre_3 FROM nmcl_dominio_localizacion n0_ LEFT JOIN nmcl_nivel_localizacion n1_ ON n0_.nivel_localizacion = n1_.id LEFT JOIN nmcl_localizacion n2_ ON n1_.localizacion = n2_.id LEFT JOIN nmcl_dominio_localizacion n3_ ON n0_.padre = n3_.id WHERE n2_.id = 1 AND n1_.nivel = 4 AND UPPER(n0_.valor) = ? AND UPPER(n3_.valor) = ?
Parameters:
[ "HUAYNACAPAC" "CUENCA" ] |
6 | 1.12 ms |
SELECT t0.id AS id_1, t0.valor AS valor_2, t0.nivel_localizacion AS nivel_localizacion_3, t0.padre AS padre_4 FROM nmcl_dominio_localizacion t0 WHERE t0.id = ?
Parameters:
[
43
]
|
7 | 0.93 ms |
SELECT t0.id AS id_1, t0.valor AS valor_2, t0.nivel_localizacion AS nivel_localizacion_3, t0.padre AS padre_4 FROM nmcl_dominio_localizacion t0 WHERE t0.id = ?
Parameters:
[
5
]
|
8 | 0.67 ms |
SELECT t0.id AS id_1, t0.valor AS valor_2, t0.nivel_localizacion AS nivel_localizacion_3, t0.padre AS padre_4 FROM nmcl_dominio_localizacion t0 WHERE t0.id = ?
Parameters:
[
2
]
|
9 | 34.47 ms |
SELECT t0.id AS id_1, t0.identificacion AS identificacion_2, t0.nombres AS nombres_3, t0.apellido_paterno AS apellido_paterno_4, t0.apellido_materno AS apellido_materno_5, t0.telefono AS telefono_6, t0.telefono_emergencias AS telefono_emergencias_7, t0.email AS email_8, t0.fecha_registro AS fecha_registro_9, t0.fecha_nacimiento AS fecha_nacimiento_10, t0.sexo AS sexo_11, t0.estado_civil AS estado_civil_12, t0.estatura AS estatura_13, t0.edad AS edad_14, t0.lugar_string AS lugar_string_15, t0.edad_string AS edad_string_16, t0.pais_nacimiento AS pais_nacimiento_17, t0.foto_cedula AS foto_cedula_18, t0.localizacion_nacimiento AS localizacion_nacimiento_19, t0.foto AS foto_20, t0.certif_covid AS certif_covid_21 FROM recluta t0 WHERE t0.identificacion = ? LIMIT 1
Parameters:
[
"0150623122"
]
|
10 | 0.63 ms |
"START TRANSACTION"
Parameters:
[] |
11 | 10.07 ms |
UPDATE recluta SET edad = ?, foto_cedula = ? WHERE id = ?
Parameters:
[ "19" "/9j/4AAQSkZJRgABAQAAAQABAAD//gAVSlBFRyBFbmNvZGVyIERJR0VSQ//bAIQAAwICAwICAwMDAwQDAwQFCAUFBAQFCgcHBggMCgwMCwoLCw0OEhANDhEOCwsQFhARExQVFRUMDxcYFhQYEhQVFAEDBAQFBAUJBQUJFA0LDRQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQU/8AAEQgA8AC0AwEiAAIRAQMRAf/EAaIAAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKCxAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6AQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgsRAAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDThJfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A/SlPuj6VItRgEAVIvWvPOkdTxTOtOoAcOtLSAU4DNMtPlErxbwJ+1f4W8e+PdK8Lw6D4r0Ztbinn0PVda0drWx1iONQ5e2fJZlMR8wFlUYxnDMqn2sD1r48+GGkeLfFnxI+AdrL4A8S+Hrf4W6ZeaTr1/rcENvbSTSactsjWj+aTcoZIG+eMEAMhPDZqkkN6H0F8N/jp4U+K/i3xdoPhi7/tT/hGvsn2jU7eSKayuftEbOvkSxu27bsZWyBhhjmuX+D/AO1X4f8AjJBdX9l4Y8V+HfDtvYTag3iTxFp8drpbRxOEkC3IlZCyncT2AjfJG01y/gX4e63pPxe/aPg0TRP7Es9R0vRbPw9NPFPZae7R6bJEqxSwbWVI2KKxgYMnYqQK8V8B/AHUda1SfTvAvw11L4VXx8J6voHjO58QecNP1G6ubVY4I7GSSW4aSJbpGk8yPH7tRlm3KrWopk8zPorwR+2B4M8W201zqel+JfA9v/Zcus2U3inSzbJqdpFF5s8loUZxP5ce1yq5YqwZQwDEZ/gz9tvwL4oub9dT0nxL4Js7PQv+EkN/4osEtYZrEyxxJJFtkdpN7SqE2qd54XJwD4rfeAPHHxe0DwT4esvAmv6BffDnwTrOgahJ4ghjtYNQvbjShYwx2MvmMs6mWNm8zKqEwSfmUHQ/Zq8N+IPgnrN9rCeA/G+g+DdH8J/YdZ0XEl22q+JkmgE1xZ2izSeasiAKk6KItqt8yqCaHFISk2e1aT+154UutJ8X3mt6F4l8EXHhrS11ebTPFdnFp95eW7M6K1tE8uZMyIIgTgb5UXOWrY+FX7Sfh/4oz+MIX0bX/Bc3hOKCfVY/F1rHYNBHKkkiuw8xtqhIixLbRtKnkHjwb4K+Mfix4nj8b+J7vwPrB+NdxpeNPl8V+Gv7N0K2sYbveNOtpwyyvI4nkYGRl3FIw7YiLt3P7Nuianc/Gfx34w0Pwrr/AIG8A69Ebm+0vxdp0VrqF1rbyhnmi4aY2yx7jhpNgkuJNi/eCDiNNnY6J+114B174ReLviVbPqQ8K+HL+TT5ZntMS3ci+VsMKbs7ZDPEF8zYQW+cIASDQv2qNF1XQ/FWpX/gzxv4bm8PxWcj6XrWimK+vmu5ZIbZLaFXZpGkljMYztXJHOAxHHfCfUfEHwb8A/HfxBN4K1/Wb4/EDVr/AE3RrSykFxqUcrQJFJECpLREnJkUMAquwDbcHF+GHxM8Wab8NPiV49vfAvj7UPinLa2xltdW0CWG1llYypaWlhbCUu1rbPI7SEESMJHkYlmCqSskNNnsfwa/aC0n40ar4n0u18OeJPC+p+Hfsv26y8TWKWkw89XaPCCRiPljJ+YDhlIzmvTJLxIX2EHOM9QP5kV88fsk3t3rj+NvE/iLwt4q0Xx9rUtpda7e+ItGOm2cxVJEgt7GMuxMVuiFN7fvGLqzk7gq/QCgTTJvGZOd4IOMduD0/T6V5OLrThJU6Wjdv6/rszemk1dk0d8C+PvA8jbg4+uCasbgSRkZHUVTk+zFR8gUr0IIG09s4Pt/+qs1/ENvZ6smkKwfWZozLFavIUUrhiDuOeMoQdu9hnOMA4MNUrTn7PSS3ur6eunf9fkT5Ur7HQCiuD034lM1rdG5t1uPsty1vLeQ/wCjQpjJAkWYh4nIG3DZQvgbxni/onjcT3N7DqjQ2TrfrZw27Iy3CMwJVJUG5ecErIrFXB/hIxXtSpSpq8lsYQl7RpQ1Z1maM+xpdxo3GsuZFmaFwcjpT1po6Yp6CsjEevSnCmAZqQDFMBQOad0oC0oGKAFoooo3He4UUUVotEFwoxRSg4ouhph0pM04rRRdCuxG4/Kkp1RzLmJgcn0x69qmUrRbQ0ys8pLOShwUIUhhzz1B7dufp+MTNysm4u6txu+QYPpnp9P070Y3yCJlO3G0deOhHHt79ce1VNU1KPTNOmvLiWJYok3Brp9kY9AThsZJUZwTyAATXy7k60uVPV6fP/h7W0fT59d+VXZmavqpmuxZzTNZWGR9qvmzAqkjMaCYSxndx0VX+8M4Brgr7QzHqN3HY3WrXcl46uEvHa1uLwBQoiPmk+aozkloNoGdzgA1a1i3iS51FNA1J729ur3EzadNMZ4RtAyFWUGUruXLyOI16KoLMKztO1y70WzsZFm1S9uFmkjSC4aVWmwD+7ljeQiGQsr+W8TNu2uu0kMtfeYSg8PSUYu/r163fz8/wPIq1FOWpcsLCXVvMtmu7GytJnR9MkeIhSJXKkwLKcxI6gZgfcsoWQJhcldSz0i8utTSMSTwKshVLeWBxGkJCghYiTvt5PkDRZBgJUHABJr6XFPqG6y1mKdpZ5hFNLcKREkCHe0M7Nk5VVZo3LFwW+9sw76Fkt3pmuJbIzs4lNvDdrN5pk+cgyqhIDc5FwgxyFkBB5HHiqvNLk6L+v68z6HLqLpQdXaTWl+39fO3dXR0emeKLSwsIYLuSPS7lNwkttYvSsobcc4ZgfMTOdrg4I44xgWf+E00v/oK6P8A+DFf8KvadpFtZada232WNRDGEEZczBB/dDtyQOgzjjsOlWPsFr/z7Rf9+xXOjGc6Lk3y/j/w/wCb9SEnFSDpio8ZqRR1NQjzh681JUa9KkpgOBpaaOtOoAKKK4jxt8ZfCfw+huH1rWLW1MKh2SSVVP39gTr94sOAccbj0ViKje+grpbnb45x3pQOCew6+or86/ij/wAFObjStQuB4U0uz1SzjmhEc8sp2Tjbl+OCu0jaeCG3fKcjB+Z7D9vX4vi7S7HiWWYRys6QTkmPJct909hkLj0A9a2cGyeY/atjs+8CB0HHWkaVEClmC7iNpPAPBPH5Gvwf1n9rn4lX187P478QTsdyuy6jOucklhgMABkk9K5PWPi14n8UX32nWfEGs6pIW3Br/UJpy2STj5yT95ifTPNJUhcx/QZ5oIB3ZGCcjpxTskHmvwP8O/HTxt4b1qXVLPxPrNtqIZibuO5kYgsxY7lz6np2ySSSc19U/Br/AIKb+MPDUf2fxjZW/i2wULm6jbyrpRzuburHnoxU8AZ6mk6T6C5+5+pBBqKdWkCqMbe5JOR9MV5n8Kf2kvAnxc0uGfSNfsUvjEZJ9Onn2TQ4IBBVgCRkgZAxkjrXp4II4IPriuecOZOLNU9blWG135MgwzKQTjnkD37VwPxG1+W00/y4HWC/spfOYkLKuweWo+UN95WuY3VWHWIHH3c9h4s13/hHtEmu1ELzEiOKOe7S2DsTyA7/ACggbm/4DXnPiOXyorey0SJn1eytmtra6XKzyOEuIp32rnexWyVVPUErz0FXgsBTp1I1rbX+e2r/AM/Xcyr1m4uJnXceoeLPCtle2dlHqM98Ldp7BVeBZis10JGIDjKiWWNjtbjhmCAiodGl0vw7aq1xpEU960vmXlpBA88D2ZjUlEkYyK+3bBcZZgAHADDJFbYiuX8TTmyVIdXsbqaC2tLVCsNnbORGjtGBgs7XCzk8giI8rggdtovgWx0J4GtZLiGNJDMbVZAYWcmQ5IxliPMwCecRx5+7Xr1q3JBxXXb+vu6a9zGhTjKonPZb+fl8/wADldButek1HUYbi8FvfpPHbXMspRZIY2CvAwHzoTIxkUrlthkGABkHr9M8JRWOrT30sq3TNIJ4d0Ko0Upj8uR9y4zuAUkYAyM49N+ivIUEe1VxkptuCUbqzt8v69NO7aYoxS0lXyo4+YqnqTTlPamn7xrxf4p2vi6H4n2N9c3evL8M10dsnwqGe+0/WFn/AHVzJDEpmuImjfaItk8RZcyw7RurJakHtq9KfXN/Dr+3v+Ff+Gf+Ep/5Gf8Asy2/tX/V/wDH35S+d/q/k+/u+58vpxiukpgPHSjoM0DpQT60Acn8VfHVp8Nfh/rfiO9m8iGwgMm4KrHOQAApIBOSMA9a/B74l/GTxH8Q9a1C/wBU1q6uZ7yUyTpJJtjLbixwoO0DPtxk++fsv/gqf8e7y/8AFFv8O9KuIF021CS3sflnzGnAyPmPBTDjHfcr5wApb8455nMmWbDeoFdMItIxbua0GoF52d8SRrkgNyM5qRtRUTuFbb8u0BOAB3/zisKNnkGxOT161sWPhq9nZG8t1Eo+UsOD9OParuluNRb2IRqCJC0cKhWH3WOPXntS/bbpcPIQIzwcOwPv3x+FbFz4YlitfPlK+TGdrYbGCenbvWTKqCQxYZ1PHA+YentTUkwcWtyxZajCQ481opNw++5Ix/I1dtdQFrd5ztRjkuv3SOpz1rDu7JljVSgHGVOfX3qtHcT2+R0A4PPWqumTY9Z8OeNr3TbhdQ0LUZtO1CI4D28m1tox6dSDzznivt79jz9u5fDmjx+G/H2patrN3JeMUvbhlk8hGwqqZHbJUvvPONuepyAPzZ0vUmSddjeWSD90np6ZOf5V0llqc9vKF81/Kdgfn6ZGBk/TA/M+pzLSaA/dD4geL9J1bSrO/KHUNGMrWU8YVWBE0CSrcQvkp5iKflJHO5wMDmm+MNXh8K/Eb+0jCbmCy0xLh1ZzuUveNG7KO5CzSAAkD5vYV8Ifsift3X3wzbS/BPjSVLjwnEvlW16sRe4g3Pu5b+JBnGME4xj0r9BvG/gy28ZpbX9lvvZbhHMI+XywksG1GyxUiNWVZOA7ZLYBzx0U5wTjCWi1/EynGTu47ml8PYXnS41GaKSKeS3tbSUyndJK8UeWd2wCXDSGNsjIMRBPYdlxj3rO0zSbbR45hbrh7iTzp5CADLLtVWcgAKCdoJwAM845q5v9686rJTm5I6IK0bD6KaGyKMmsyx1FNyaMmgZVY4Y18b/Hn7K/7ZNil54z0HwNCngqxu11HxDGHgkkttcW6jhAM8PzM8Ck/MTsVwBkgr9kScOcdK8f+ON94q8Gi78XeD/COj6lq9vpj241X+zZdS1GXHmSJZeRD5cggeURfvUlk2M+Wg2BpUcdGDR2vwY0f/hHvg/4G0r7bZ6n9h0KxtftunS+bbXGy3RfMifA3I2PlbAyCDXadgaxPBkdrH4P0JLCbTbmxWwgEE2jQiGxkj8tdrW6BnCREYKKGYBcDcetbY4GKTEKxIC4GSSF/M4r5Z/bT/aob4K+FzpGi3VofEeqtJbRhjITBGFZJHyowGV2THOeDxxivo/xjq1roPhTWNTvZVhtLG1kuZZHYBVVFLZOeMcdO/Svwf8AjL8VtT+LXxO1zxDeySSNdXkksaM5kMSFvkTJ5IUYA6DA4CjAGsI31ZLZxHifULjxDr11PPIwd8M7vISzEDGSTnnmuWlsX80jBznlm64rsRab3RmhZpZMEopLZH9fWvQvDHwP1jxYYZBAbe24Bd0OW4ySOO496utXp0I3m9DWjh6leVqaueceFdFikljEiF1JzkIf5c/nXpLWUml3Tpb2M13biInyskgAnkgEN0IHJHc19GeB/wBnjTdOtIPtFpC22Dyt2w7mJxlj+v516LZ/CDRoctFBEny7QFXG0c8DnpXzFbNYuXurQ+ppZQ4x96Wp8M6/b63La28UWnOBMmwPbRlRhuArbeM/4jjjnl38G6tZTmGfT5xdL8nltGfl5zk+nFfopH8KdHiSJUjCCNixAGMk9f8AP60t98ONFknSR7aN2GCSV71Kzay0iW8mUtec/ODX/D2o2Zt/Pid2lGQPLPI/wqnc6Bd21vE8to4EnCqV7e1fojq/w00e8O02luVA248oVyut/B3TLgxM0ELxR/dTbgL2B46U45zy6SiKWRp6qZ+fVxYNDIFWLHfcy/d+taNrM8GwSuzhcMdxyVGQMfSvoz4mfs9B7uW409Ui+VVVcHk55rwXUdBvdE1NobqIxqpKZwQDycV72Fx1LFR916nzuLwFXCu8loXdPvp0kjn8tiFO5HxkE54A4I7j6ZHFfa37E/7Y0/gK7tfB3iGQz6ZNMxhvLm5kYwrgbUVSGUKMY524H4V8RhlSPY7AbUJBK5OevGT/AJwfWoYpDDOkqFo8DA8k449cdu/+eK73Y85M/og0/UotRsobqBxJDMgdGXOCMZHXHrVoMDivlH9g34p3Xjj4WvY3uqX2tTac0ax3t4QSVZAfLUdgmMYyeCBwFGfqOK4Fcso22KTLwOKdjgVXSTJqXIqLMq48EUcUyikBBJ/rDXyP+2R8CL34ueLtLnsfhLqXi2aCwiQ+I9L8XW2lSooknP2QwXEciMoLiTzAoJLAbsKQfrh/9Y34V8nftf63fnxTb6NDe+MPBETaZDc2/jbRvES2Fh5/nyKbGSC5urW2kcxh5MrMJuEO0ojVcH1Kk9D6X+HX23/hX/hn+0f+Qh/Zlr9p/wCPn/W+Uu//AI+v3/XP+u/ef3/mzXRg1zfw71T+2fh/4Z1D+2f+Ei+16Zaz/wBsfZfsv2/dGref5PHl7879mPl3Y7V0YqWSfMv/AAUF+LqfDn9n/WdKhH/Ez8RxtpkOQCBE2BMw+YciNmA4PLKeMGvx80/Rmv70TuZGjVsqzNncV45HYZA/M1+m/wDwVTtpJPAPhFt0cNt9puQjOr5a4Ij2opA2glVlb5iMiM45zX55eGNOxNCiHJyM7vb+XX+Vb3UIcwRjzysj0P4K/Da28Ra2kt0hlt4tz7Qepxgfzr7B0rRrW0tUihjVETAwe3b+lea/Bnw22h+G0mktjC8hJ2sME5P+Fer6VG8rFQvJOa+Ixtd4is+yPuMDS9hRS2ZdhgGwqNvHAwaqzyPASMY9c1uQWvkg9ST15xSvpsczcrknt1xXmztE9SEubVnLfbyrk7se2KrXF+7NhTgHn0rrJPDsJ6cetU7vQViZSrNz14rHmZspK9jjry8uInYSLjJ4yOBVBtUbLKwHPJ44x/nFdzcaAl0A3QL1wOPasfUvDKKueh+nFZNvqaKSscXdutw53c5GMV598QfhZp/iTTLhxHtm2HkN6nNelXmlPHMVQHGO/FQ3Fq3kOpU5IPUfrXTQlKElKBzV3CUeWSPhDXfDtxpWqzWcy5WFyAwPVRWFZSvaQ7i21k+4ex571738WdDNvq7T+WxVmwTtzjpzXjmtaSItpiBJ35IAwf8APtX6Lhq3taacj87xdH2NVpbH3J/wS98Y6tf674q0l1X+zI44Tl/vIR5uFX5sDO7ONp9Rt7/otHMevI+vWvzn/wCCWlxe29945thDcNpii2l88thEfLjBwMHKgkZORgYzX6GQzbowemR2rqaOAn1zxNYeFdA1LWtVuPsum6bbS3l1PsZ/LijQu7bVBJwqk4AJPYV4Trn/AAUM+CWj6RPd2viO8124j27dPsNLuFmlywB2mZI4+ASx3OOAcZOAfZ9c8SWPhfQtS1rVJ/sumabbSXl1PsZ9kUal3baoJOFBOACTjgV8UeI9J0/9oh486HqPwF0r4gyi3s9bkhhubLxWq3BuIVvLdTH9nvGcLLDKWJlVpkDyArmOVPctM+5fAPxA0H4n+ErDxN4Zv/7S0O+8z7PdeTJFv2SNG3yyKrDDIw5A6eldDv8AevOfgH8Wf+F3/CbQvGv9l/2L/afn/wCg/aPP8ry55Ifv7Vzny8/dGM45xmvQd1Z8qKHTHEhrxP4vSXUvjm1h8P32g6P4mWxhK3sni46XqBje4MMavaGzuYbmIyS+XG0yOFkuHEao5DH2qbLSH6V8x/Hjwr4cu/jVY6vdapr1t4mfR7G1s7Pw3qGmefKItUWeHzYL2PESm5EBSYyCOR4zCdrtGlxnAp6H0B8O/wDkn/hn/kD/APIMtf8AkXv+Qb/ql/49f+mH9z/Z210Zrk/hV4dk8IfC/wAIaDMJhNpej2di4uERJA0cCId6o8iBvl5Cu6g9GYcnqwc0CW58T/8ABUmKKT4a+EHa5WK5GpyeXbscGVPKw23ucHyz9Dn0z8OfBnwwPFXjOCyK5t4ovNnGM7lDAbT6Ag/z9a+w/wDgqdKxm+GUBf5ZP7QJTf6G27fgf16d/G/2ZPCot7fUtWdRmdkt4yD2XJb9cVzY6p7PDnoYCnz1k30PZ7Z7Cxkht53jt41OFQcE8dh/npWXqvxStfD8ly9vZkwQHa8mc9eAR2554JHIPpXQSeCbCdxcTgtdOMPIMZx6Dj6VW1T4Z+HNTtI49ThR4IQSvnNkICMDk9v8iviYV6MHZ6n2Mqc5q6djzmX9qSO2uJWOkyy2qk/vncRh/YZXA7jOfxrsNA/aP8Ma1cLCXlsrgjmG5AXHvnPSuc8SfB7wHdKHjnh3A4UrdkBfYE8D6VyafBfTYZFNnO52nKZl3D8DV1auEktmmFGliE90z6Q0/wAUW2q7fKccjOARV65w6gO3ykdScV4j4SgufDt0sDyZQN8o6/hXp0+qu2lq2xzjkkDj+deVz9D1HBqzsJeeJrTTd4lkAXGeSMD61zOr/E/w/bcS6hAPYSL1I+teX+Op7vXdTbT7aTYHBDDp1PrXGXP7Peo6qS8d8IFYgs7vyP0rtowpN/vpWOWu60V+6Vz2J/ij4auJD5d1G7HoNynP5GprfxtoWpkxNcxRueAxYDH15ryew/ZHdI1efWZoXcE+bGy4P/AWU/nmtbS/2eEsZCJdYuCFbORtJbH1H+HXoK9LlwcdYTZ5TeKfxRRueNfBdp4l06dE2S7lJjkj55xx0r5M1yxkNzPbOpWaMlWBHPAr7M8OeDZ/D9wBFcPPaMArI+DjHcD86+fPjr4Xk0HxxNcRoPLuUUjOeDtOf5GvZy+pFStF3TPIx9OTjeS1R9T/APBNPw/BpfgbxVfkf6TNqCR5eMbgqx54OBwWdhwSDg9O/wBoRy4x7V8bf8E6DFB8PPEsSoUnGpKXzwSDGMMQRnsec4OD0INfXySYFfSbnzL3I/Fuo6RpvhLW7vxCsL6Bb2U82orcQ+dGbZY2MoaMA712Bsrg5HGDXyn4UvLzVvhm+nWvwI8UePfhBeynUrGTxPr1tNqFlZmER7LG0bMqLHGHECrJvYMGVx5gI+ofFWpaRpvhTWrvxCsL6BBZTy6gtxD50ZtljYyhowDvXYGyuDkcYNfHHgvwr4ZuL/RLPXbb4lfDX4aeKZIIPDGlW3ilrzRtWjuCpFrPFEryWrXCybyjyEHfPh12UDR9X/sqQ+ErT4A+Eo/At3qV74XMc8lrJq4UXYZriRpUk2qq7klMifKMfLwWGGPrG815D+yr4p0jxf8AALwnqnh/w3D4S0eSOeK30eCfz1gWO4kiJMhVS7MULliMkuSSTkn1jeahsouXPEgArw34ofE7wrcfF6D4a+M/Bdnr3h+LQ18TT6xqEUV1baf/AKQ9sHlgkQ7UXPzTgnYJCWCxiSRfcrk4kA9q+c/i1qnjbw9+0DpV54d1Wa+tb3R7Kyh8KRX0cMl066kLi9nhiuWjt5WFlFNExjdpkMsRZURhIOeJtLc9o+FWuWviT4X+ENXsdLh0Sx1DR7O7t9Mt8eXaRyQIywphVG1AQowoGB0HSurHWuL+DC3yfCLwMuqWf9n6muhWIurT7Ktr5E32dN6eSqqItrZGwKoXGABjFRfF/wCJkfwq8LQ6rJZtePPdJZxx87UdldtzAc8BDwO+O1TOSgnKWyHCEqklGKu2fEv/AAU6jlHxL8ENtXy20qToDuOJmySenG5MY55pPgTpot/h7pDbeZFeU5HXdIxH6Yqj+2tq+ofFGDwjqs+lRW95pn2mCe4ti5SeKQwlNqnJUhlk4yeGHPWu98AaLJonhPRbGQYnt7GCKQejhAG/XNeBmWJhWw8ZU3c97L6E6NWUZqxQ8S+IJdLjOCqnru2FiB9BXiUPxJ8S+Kbu/tPB+mxve26vtvb999xNJzhIwzLgcepA3dK+lNR8NxX0RDQo4bruFctN8PoYpw8ek2zFf4kQKw/ECvl8O6dKXPUjc+on+9hyQdj4tf43/E+fVYrEajfLqD3BiltQFZN5KhVMRUsDnd3x046mvoeCLWNN8RxW0sltqFyYhLNLYtlogSqEOqbsjcwGfUivQbzwbDa5mi0m2t5m6tgbifUkjOfequl+HTBJuuI4JgcgAwq4X6Ej/CvWr4mjXikoWOahhqmHfM53F1O0NtdafIqcygHHXGe/vXV30ssGiKSrn5QfutxWFY276pqsUjHENudqDqB7Cu91WCN9NXKDLBTz1PArwoxTbZ6cpvTmPnrRbSa88Y3hKAsrjGR0GTWlqNzq+sXV7Bo9hFq62dvKzCaUCASr91Aoz5jMe2RjHXkU7Ug2jeJRdQho0kyrgDBxk/41spp4WOCS0s7YqDvCvGBz3IOODXZRUHJSkrmEpSkuWLsz5rn/AGxPG6zW9pFpOhSWirueNbV0VW5whzITnj05z2Oa7LQPiyqSW1tqWmt4N1EjdFaIWW2mJ5OQQNhzxz6jk16Hq/wx8OX10LtvCdvHPnczx2qDJ+oHNZ2ufDyx8SzLLqFnPPdRjEdxcyOzoOwBJyMV61WvgqiSULHlQw+KpPm50zqdD8QS30UTOArEAkA5H51xX7TujR3Hhex1NVUlJxGz4HAKsRk/UfrXc+G/Daadaxxru2qu3BzVD416X/aPwn1eIgl7YxzpkZBw6gj8mOaxwFVQqpLYyx8eeDfU6L/gnfeq/gjxRAoKbNSSQpk4+aLAwM7c/LyQMnjPAGPr6OT5Bk818XfsReK9G8FeC9Qg1B5U1HUdQZnIX5YYkUBPMJIAO4yHj8a+yo5ARkMGU9GU5B9wa+8hOMtE9j4mcJR1a3J7uzttVsriyvbeG8srmNoZ7a4UPHLGwIZGU8MpBIIPBBrxjxr8OI/h54G03wb4f8PS+L/Cvi3xjHFq+kX1u9xb6Tp90zPObZYNn2aKJ0V0bpGzFs5II9b1q1vdQ0PUbXTNQ/snUZ7aSK31DyVm+zSlSEl8tuH2sQ208HGDXgXgvwj8d/Ed7r1hffGPUdAvNJvXtx9q8D2bW93ASTDcQTBtkiumCyg7o2yrAYBbQhH0N8Ifhrpfwd+HmleENFuLy50zTvN8qW/dHmbzJXlbcVVQfmkIGAOMfWux3+9ct8P9J13QPCVjYeI/ER8VazD5nn6v9iSz8/MjFf3KEqu1Sq8ddueprod59TUWQzXvCTIn0NfO37S3jjwrZX8/hvWvEWvTzf2O2q3XhLS7DSLiOeyhMsr3RGowMkrL5BPlJIXxGGWPCs1fQ98cFD65rw39oPVbyCGKxtIbzX0u/scN14ev/BVzr2jvbtdjzLljBEG8+JQZAjTkFYgBFudXHLB62OmZ7B4JsZdK8I6HZzNqTS29jBE7azOk96WWNQTcSIWR5cj52UkFskEg149+07qcep3fhzQYGJuEZ7qSM8Lj7qnPr8rfnXsPgzyx4Q0MQ6lDrMIsYNmo28ryx3S+WuJUd5JXZW+8C0jkg5LsfmPzv8a38n4l6ndMNzW8caICMn5oo+PpnP515ObSccJKx7WTJPGRb6XZxOq2ssdrbWLNG86vGwbbkbVYFl/IY/Gt/SY2knLN6gmuXh0a5t1l1O+upmuNy/uWYlFUnp+pro9MuVDkg/LwPSviqX8O+yPq8RG1SzdzrfKRYw+4Egdx/hTJIV2luOmazYL8K/ytz6dqsTzs0Jwu7g8YzV899EiVTsZWp2qzOXzwvUVz+sbbW0YxjnOMn1rekLKH3FiQc49K5rXkklGyMF3YgBQalu6OqKSF8MWokZQo+XPP1rqNaAS2WMDIAA3Gqvh61SwjRGK78gkA9609UjzbSOThieOK6o01GDXU5XNynzdDxXxjaFZWcr9Gz3zW14Umj/s2NpmAUKNxJq7r9os0MsZTduUj6VznhJ3tbie3kBV1O0huhGf8MVlbS5cWr2Z6RBDGqAbQQ/4VBcaYjZxHyQTntTLW7CnGMKM57ZqW4u2IBBOF5GD/ADrOb5tWaOKRn/2cFYgYBqB4EuDNZXS77W4ieKQeqspVh+RPNRXOtrG22U+XzwajN4Lhi24MOxFdOFleWh5uJg1qzxvVLC4sPCElpYRpbllVLht259vAIBOe4wT6Zr7Q+D+qnVfhl4dnJUj7OYRtGPljbYvHbhQfxr4k07VNZ0vx1qFrfQibSrq4fYCu4CJidpBHYg5r64/Z2tRYeBry0E/neRqUqAk8geVCcfkRn3r6HLZuOJcX1POzSnF4RS7NfiejeJ4dXu/Cus2/h+6isdelspk0+6nGY4bkxkROwKtlQ+0n5TwOh6V8kQeB/D13qlovjT4S/FjVvirceS974v04grHfuqlZre4iulto0iZlEZ2hY1jUMPlavrvWtcsvDGiahq+pTfZtN0+2ku7qbYz+XFGhZ22qCThQTgAn0rwj4x/Ebwv8RtU+HFlo58Q67/Zet6V4suJvDegy6ktrb7WMAulVleHzUkLgBXcKhPlnK5+t2PjUe6/BSPxpa/C/Qk+IV1DeeMTG8l/JAsYUFpGZEPlqqbkQoh2jGVOC33j2/mmue8HeLNI8c+GdP17QdRh1PSL+Pzbe6hPyuM4IIPKsCCCpAKkEEAgitnP+0Kgo6S+/gx715H41+Guv3/xNHjDTTpviSxk8PS+G5fCevXMltZeXNMJZ7jzFinDM4jiiaMwgMqgl/lCn1y5BKL+NfKn7TfhvXPDnxV8PfEz+24bHStOsYNI07/ibWlpPY3kt3vvLiJL5ktWZ7BZ4huLsXMZKYTenNBXOmZ9H/DrSNV8P/D/w1peu339pa3Y6ZbW19e+a8v2i4SJVkk3uAzbmDHcwBOcnmvCvjzZzQ+P5pHQwJcQxSQysp2EgFcE/8BP6ete8+DdRXV/CGh3y3M16t1YwTC5uJLeSSUNGrb3a3zCzHOSYv3ZJ+X5cVzPxh8NLrXh6O9xufTizld3JibG8DPcbVb2ANcWPoOvh5QW+535fWVCvGT9D538TajKq28RspBBPbuzXMXzRI4GQCcDBPT8qybLUihwSRkbs+tdBqeli6guoIS6+YP3iHIGfUZ6DiuBnZrS5eE5BjOxvwr4CLXI0fbNaps7qyvlfBIJPrWqt1lepwO1cFp+pAhcP8v0reTUCQuDnnmuZOzOp+8jcdvNzjj9a57W9Vj0idZHxjHr3rStroohJ4JNYPi7TP7XsgjMV+YNvXGQa6knJaGV0tGeURftOaf8A8JouhvaajEzzGBbswDyCwJGNwOf0713OpfFhPJEAnDFeeCtcTo3hm70vUXhuxBJFvLblX5sev1rQ1bwhp8zyTckk/wB45raVr2V13LaS21OZh/aF0vV/FI0e0mmupRJ5bzxpmGJsnhn6DpXbRagtxrNr5LDfJwzDnPIx/WvK5tEuLLXWfSbO0HmNuleXOSex4/8ArV6F4JsZrSd7i7k8ybAztGFXnoBWlT2cWnDRGEYt6t6npqRLsaN8le5zyRjiobq6by2OCuD8ufSqr36FARyOhqjeXqpGTkc9ueK4W29jW9ipf3MeTkq3ftUdrqKrFJK3yrGpPBwOlc5q1+WkyGGwcYxUN3cs/hu+CcsVX8iwU/zr1MNDlfMzy8TLmVizo2tQ+ILJrq2t/M8tvIN02ArY/n1r6O+B8gPhW6xgqb98Fe+Ios5r588L2bfYVtpSogACxxoMYGO/rivpz4a+GpfCPhSKxmRY7l5GmnRW3BWPAAP+6FBx3Br18pg5YhzWyR5WazUcMoPq/wAje8U2mk6j4U1m015ok0K4spotQa4m8mMW7RkSlpARsXYWy2RgdxXyB8I7TwjN4zuoPDPiD4jfDGPxjpS29pN4qWGKG7hW4tFhi06Z5CWlS3Z4YjiVkWYMrArh/sLWtHsvE2iaho+pQfaNO1C3ktLmHey+ZFIpV13KQRlSRkEH0rirv9njwrrXwtuPh9qsmoat4e8xpNPF7Osk+lDnyktpdu4CLJCeYXO0lGLJ8tfYbnyZp/s4at4S1T4M+HrrwLpd3ovhWT7R9jsb5i0sWLiUSbiZJDzIHI+Y8EdOg9L86uN+FXw30z4ReAtL8J6NPd3Om6f5vlS3zq8zeZK8rbiqqPvOQMAcY+tdZSsFjtpjwvtwa+Zf2tbqQQ31po3gyHxXrtzo/wBmu/8AhHNZS28Srp0zyQygWxtZjNZkvtOd4V5N4RWiEq/S8pJ2k9a+Xv2jPCkfiT4uWC+JI9I8M+Dv+Eam8jxpf+H7DUI4tTFwBHBdzXcMiwwBX3IpMIkeRlWQsQBy0zqmfRfg7VrvXPCOh6jfQTWt7eWMFxPBcWhtJI5HjVmV4S7mJgSQULsVPG5sZOwCT3I4PSuT+F13qF78MvCNxq9pNYarLo9nJeWlwZjJDMYULoxmZpSytkHzGZ8j5iTk11CnmtCTzHXvgPY3l2Tp2r3Wk2s0hklgSJZNoJyVibI8sAcDIbHHpXzN8UPDA8F+MdQ0eGSeaG1IEctw4aR1ZFZWYgDJIPJwOewr7mYnnb17Zr5E/ad0xtO+J09wCVjvraKdffC+WR/5CB/Gvncyw1KFCU4Rs+p7+W4mrOsqc5XVjzmwvNw2Fvnx6cmuk011U5PQAH6VyFm/7xGJyOmPWttbuK3Rio/Kvi5Rs7o+vT0N+81NUUDPJ4HPeoUmeVGzKqr1JY4A/HNcH4j8Yw6NC0sgaRUUtgc15HrfxX1zxbO0OlWd89onGyBMgkdcnFddCE5/CjNwT+Jn0PqetaCG8k3akn5WnT+E/WsIy6VYSh5NVjnhYZRIwdzc968Z0keLHBaXRrt0bGUCZOPcVNcXHiK4YpHoN9GyHCfuOg9OtdboTe56FPCRtdHqn2XTL+VpLKdfNBOI2wCfpnrTluprRvLZAAOueM14TqVz4t06QTf2bqCjOcrGdw/DtWjoXxiuIpRY6pBP5+AF81cOP0560Sws7XPPqwVOWmh7lDfpIh52t3FZ15qDKHxkqOpzXN2GuRajl0cxk54JGavSXDPHuzwBiuT2Wpi5PqQTTmfLEbQ3Q9MitPSfD+s+KrO/stEt4rjUYohcLFO/liRVkXcqseN2DnBwOOorEfLSYyTmvY/2ctMuX17UtQERW1itfs5kYYBdnU8evCc/VfWvdwdFVJqD2PExdV04Oa3RqfC74Va5DPb3fiS3j0pLaVZBY+YkzTY5G5kYqFz1HOfbv7jGSBjG329Kg3U9WyK+rw+Hp4aPLTW58rWxNTEy5qj2LkbEmrkLYxmqEQ71chySK6jnLyH5aXNEfC06gep1rEYU18l/tifAy9+LXi7TJ7L4Ual4smgsYkPiLS/FltpciKJJz9lMNwkiMo3iTeFySwG7CkH6ykIypB4oyGyRyK5KbsdUzC+Hxu/+EC8Nf2j/AMhD+zLb7R/x8/6zyl3/APHz+/65/wBd+8/v/Nmt8NTCcUtaGY89K8L/AGrvBN94g8J2eu6ZCbifQzLLcICB/orLmR+fvFSicDszH0r1PxX498MeBYUm8ReI9K0KJ0aRP7SvYoGlC/e2B2G7HtntXg/jL/goH8ItBsHGkapc+LtSLGNLCws5I135IXdJMqqFPA3LvPcAg1lVoqtB05bM2pVJUZqpHdHgWl3UdxbqyMRjB3EetW5rksjRjpXIf8JPb6pcN4g0yzh0zTdQdpzp1s++K2LH7qMAMqDuHQevcVt2OoR3TLhgSTwM9a/Oq9H2cnFdD9Bo1PaxUiKSzCTM78g8jOOaytSu10yUSrCsZzyyjOa6K/QqikAZOcCsy5043cYB69uMkVhCUo7M7FvcpWXxdSxhdZbiJvZ06H6U2P422j3Lt5kbErggqACfb0oi8Ax3bNmBGb1wOad/wrGRVy1tDt9DgV3xqNrqa+25XfQyNU+IkeqMypKiowwcDmmaWbe5lEiQjeQQ0rDkirS+BEt5XZLeJMHnaoq7HYPYKdqAYXgHoaTrdEc9STqNNld9OSG481MkdSM1ZW4MiEHjnrVry28olxjPrxiseeZEdlLZwfWnBNux59V2NFInmZVjRnmlYJGo6sSccfjivrH4d+Ej4J8LQadIQ12zNNcspODIeOM9AFCj/gOfevzY8bftN6z8NviNp48LxWzSaTNvmkvYTIk0m0fu8HGAMkEqQc9CMV9ffAP9tjwf8WbRbTXZrfwj4hDmMWd1MfJmVVB3pKyqgycgITnoOeTX2WAwzox9o92fG46v7SXJHZH0oGzTkPJwKgD4A9/1qWJx1r1zybWL8PTmrtuM4qhC4K1etXHFAzQQYXmncU1SCKXIoHc6XJJoHHH9ajVgHGPentyDg4964Y6rQ6qnxEOo6pZ6LYXN/qN3DYWFtGZp7q5cJHEgGWZmPQADJr83/wBp3/gpRrV5dXOh/DVJNDsIJ5Im1qQI012oOMorKREMhiCMsQRyv3Rpf8FBf2kpdc1Wb4e6Bfq+j2JxqnkIw868SQkRtu+8se1D8vBZmznatfBNw0c0jBkyGHze/pXZCFlqZXNfX/jNrnjK8a78T38+v3b/ACtcX0pklK56bzz1JNYx8U2tqHaASQlhkLjdj8aytTaGGDiNNxGcc1zLu0hYjATPFapWJPt34HX/APa/wi0d3IcnzlJY8nEziteS/m8P3QdC0lsTk4/g9fwrjv2c5SPhhpcHAVHmyeucysTXe6lEu11PPXGe1fnWL9zETXS7Pv8ACe9Qi/JHT+Htet9Tj+Zt2R0JFdLBFAgAyuCeK8GlubnQLwTW3KBssmP5V0Vp8ToZ4R5jbWXg5XBrjdF7wR3KelpHrTTC0BIQFFPJB6VQn8SPPOsMYY8YyOa8+bx6jYLSgqcZ47U2LxhaW7MyO2Sc8ikoyXQtNI9BYHd+84bHQ1SlCS/e4xz6VxDeOiAzF8KeoIyaydY+I9vbRbBNh/4hj8hTjSlJ7GE5xjo2dVr2vR2SMmcY9TXFprL318oXmMtk4PUVyd7rF1rlyu8BYvToa29MtzbhW43DjivXhTjSWu55c5uo9Nj5c8ea1dnxx4iVWYoNQnG08jiQ/wCFZlrrt3CvylQwPTywR+oNWPFbH/hN9dPPN9Of/IjVG1sLq2Y4/eAZXHevtqfwL0Pjqnxv1PuL9kT9sfUX1Kw8KeNLuS+truWO1ttRuZwWtmJONxYZKMcDLMdvy9QePvdXIJ5B9x0Nfhbpc7QyDngY+UgEdfTHpX60fsy/tAaV8X/BGm2txqMTeMba1LahZshSRgjlPPUfdKt8pJB4LYIHFVYwZ7rC/wAwzWhC/QislM5GcirkEmAM0hGukvFL5tUBMccUecadgOzSTMq/jWX438Yaf4A8I6x4l1SQpp+l2r3cu0/MwQZCr/tMcKPcjrV2OT94h+teH/t2a7Y6R+zP4jtrm7W3vdUktLWxjOcyyLdRSuP+/cch9PlNcdM66h+TvijVLrXtWvb66uHvLq5meaa4kXBkdmJZse5ya5e/lSMctzW3LKrM0rHKgnPOCa4zWbmRpWJQrHn5SB/XvXcc5lapcGQ4B5JwBVIrsKL2AyT605m865yCNq+/c1oeH9OGseI7G0YZieVd49V3DIpN2VyormkkfVfwAtbnTvAOnwXUJictIxjbqoLFhn8GFen3FtuXruU98civOrLxTa+DfCNzql3HK9rblSyQAFuWVBgEgdSO9bOj/FjSr/Ubaxv7DVfD93dHy7X+2LQwC5OOVQ5I44GCRyygZJr87xUJ1akqsVpc+9w84UYRpOWpY1e2CZ5wDnBxj9a5e/0ODUQd48p8cMowa3LnxhpF/pOt6gXayttIu5rK5luVABdMZK4JyCWAHcnjFcZpHjyz1XWDpstrf6TfFPMjt9Tg8l5V5yVGTnGD+uM4OJpxqJPTY2lOm2k3uZd/4U1CJi1veSuPRuf61myaZ4giA2zF/qCf61o3PxIQ3t3BbaNrV79lne3kltbQSR71OCAQ3+QRRqnxIh027trVtH1C6uJ7VbvyYLYM8akkYZd2QQRg+5r0Ye2uk4nG3QevMZrabrVzxc3ZhQnnHBx+dX7DR47f5nla4k7PIc/iKh/4SzT9Q02fUTM9tBbkpceehjaJxjKMO7DIGBnngZqv4d8U2niC5htRBd2Us6+ZB9sh8sTqOSUOSGwMH6H0zjX95yttWsc8lTulfc7TS7RFG4jGMj61sZEUO7pjtXM2HjPR7TwUniKZpIbF9yxpMAJXYMV2qoJBJKnv05OADh1v42tdYjuIBbXmmXkahzaahD5MpQnG8DJyucjI7jnGRnjlGbbdtEzojKCSV90fOXj23Nl431jP3JJ3lU+oY5/mcU3TDiZRnIq78SMSa5LKOu8jP6iqWm/I4HXFfbUHelE+PrpKrJIZGuJQQevpXQ6Z4h1Hw/eWN9pt9c2F5BvMVxauUkQnPII5HUjjtn1Nc/GT1INWrpx5UfB6E1ucp+oP7JX7UkHxp006Nrs9raeLbNcCJHIN+gXJlUHPzjDF1XIHLcAnb9JxsSOtfiR8P/Fus+CvFGm63oF82matZy74LlMAqSCpBzwVKswIPBBIPBNfsb8NfHNt4/8AA+ja5Bc2lxLd2sT3P2SQMscxQeYh6YKvuBGARjkCkSzr1k460vme9QhwRyvPvS7h/dH+fwpgdTqetWHh6yk1DU7yCwsLcM8s9zIERAM5ySR6H8RX5WftlfGmx+LXxplvdHvxfeHrGzisrC4WF4fMUpvdirqrZ8yRxkgZCLjIAJ8q+J3xr8T/ABQ1SW98Sa7c6o/mtLFDLIfs9tnqsUedqDpwMdPXOeKvbgzQrKoCjA75FYwpcu7N5yTehHdSMkDqOCetYVxK6HKtgg9q2bsgZO8Mp5X6VjXK5Dc45rYyMa5VpWaQIqn+Lbxmr3g2+XT/ABNa3LD5IpULfTIJprQ7TtJDZ5xVJYza3JYf3t34dqmS5k0VF8rTPpPx0cfB7VweuYsH28+Ot7UviP4a8by6Po2kS/2rqL6nbTxr9nZPKEciySSbpAuMRo445O7GOTUvwn1uLXPDNjMDmXaY3H+0p/wxXosLBYtpyPSvg67VNuMlqm2tfTfTy7o+1pJ1FzJ6NK+nr5+Z4TeQzw6LrOoxWst1b6T46l1C6WAAusMeNzAZGcZH06nABIuxeJbbxd4/sm0jxB/a1kZGdtN/swp9mQQOpk85lz9/A7f6zHTr7O1wCSAOQOorLu28wkxNz6CsPrHMneOuv4/L8rG6oNWtLTT8Pn+dzwLSNf0nRNT8S21/4ku9HmOsXLCCC3WRWXcBuyYX54I69unrp3elPrXxAtm07VZ4TN4dWeK98pC0gMvDMjLjByCQAp+lexQX8YcCQbe3zdqfcXlux7FR3zWjxWt1HX5f5Exw7tZy0+f+Z4DbaeW8KC6UXEMun62k2tGT5i8ispnYCPIKqSp4wMJnqOes8P8AizRPEGu2Vlpo/tKUb5nl2FBbKFK7vnAJJLhcL2Y5xjns9T1eFBsRlJ7UzTmJLSt/F0Nayrc93Jfj3M1R5WlGXboeXeE7ttE8J+BdbuZ2h0exmvBdYV3Cs/mrG5VQeAcrk9C49TWlf+PdO8T38g0tftSQQHfeMmzYWYYjAYBudpJ7fKvXt3+pX2VYgkn/AD3rgdfkLb8HJOa2hNVpc7WuvXu7/qZSg6UUlLTT8El+h5B4yTz9RyepfJ/KqCsIoJGP8Kk1o+JZRLqbRhslCAfqazpCFtHOSN2F/Wvr6KtBHymId6jFjf8Ad8AY70t4/wB0dgMVFFxg4JANJO+8A9zW5zl7TWQTISMoOo9eK9h+Av7QGvfBfxQb3TpTNYX0iDULJlBE8YfJAJOFbBbDdvcZB8ZsjtjcgZOMVatZSjo3GV557UAfuHBP5sStGDsIBXIwcdv0qTe/pX5QeFv2tviV4Z0aGws/FV5JbJygvYUunUYHyh5UZtvoM4HYCtb/AIbV+Kf/AEM3/lNt/wD41QKw/9k=" 190053 ] |
12 | 6.11 ms |
"COMMIT"
Parameters:
[] |
13 | 32.68 ms |
SELECT t0.id AS id_1, t0.identificacion AS identificacion_2, t0.nombres AS nombres_3, t0.apellido_paterno AS apellido_paterno_4, t0.apellido_materno AS apellido_materno_5, t0.telefono AS telefono_6, t0.telefono_emergencias AS telefono_emergencias_7, t0.email AS email_8, t0.fecha_registro AS fecha_registro_9, t0.fecha_nacimiento AS fecha_nacimiento_10, t0.sexo AS sexo_11, t0.estado_civil AS estado_civil_12, t0.estatura AS estatura_13, t0.edad AS edad_14, t0.lugar_string AS lugar_string_15, t0.edad_string AS edad_string_16, t0.pais_nacimiento AS pais_nacimiento_17, t0.foto_cedula AS foto_cedula_18, t0.localizacion_nacimiento AS localizacion_nacimiento_19, t0.foto AS foto_20, t0.certif_covid AS certif_covid_21 FROM recluta t0 WHERE t0.identificacion = ? LIMIT 1
Parameters:
[
"0150623122"
]
|
14 | 1.30 ms |
SELECT p0_.id AS id_0, p0_.anno AS anno_1, p0_.llamada AS llamada_2, p0_.fecha_inicio_registro AS fecha_inicio_registro_3, p0_.fecha_fin_registro AS fecha_fin_registro_4, p0_.fecha_acuartelamiento AS fecha_acuartelamiento_5, p0_.fecha_fin_dias AS fecha_fin_dias_6, p0_.hora_inicio_acuartelamiento AS hora_inicio_acuartelamiento_7, p0_.hora_fin_acuartelamiento AS hora_fin_acuartelamiento_8, p0_.fecha_fin_dias_posteriores AS fecha_fin_dias_posteriores_9, p0_.minutos_test AS minutos_test_10, p0_.bajas_permitidas AS bajas_permitidas_11, p0_.activo AS activo_12, p0_.cant_cursos AS cant_cursos_13, p0_.titulo_reporte_uniforme AS titulo_reporte_uniforme_14, p0_.titulo_reporte_jockey AS titulo_reporte_jockey_15, p0_.titulo_reporte_calzado AS titulo_reporte_calzado_16, p0_.titulo_reporte_camiseta AS titulo_reporte_camiseta_17, p0_.titulo_reporte_estudios AS titulo_reporte_estudios_18, p0_.foto_uniforme AS foto_uniforme_19, p0_.foto_jockey AS foto_jockey_20, p0_.foto_calzado AS foto_calzado_21, p0_.foto_camiseta AS foto_camiseta_22 FROM proceso_reclutamiento p0_ WHERE p0_.activo = true
Parameters:
[] |
15 | 0.99 ms |
SELECT t0.id AS id_1, t0.fecha_registro AS fecha_registro_2, t0.pais_residencia AS pais_residencia_3, t0.calle_principal_residencia AS calle_principal_residencia_4, t0.calle_secundaria_residencia AS calle_secundaria_residencia_5, t0.num_casa AS num_casa_6, t0.referencias AS referencias_7, t0.geometria AS geometria_8, t0.fecha_consulta_antecedentes AS fecha_consulta_antecedentes_9, t0.resultados_antecedentes AS resultados_antecedentes_10, t0.fecha_consulta_estudios AS fecha_consulta_estudios_11, t0.resultados_estudios AS resultados_estudios_12, t0.idoneo AS idoneo_13, t0.fecha_resultado AS fecha_resultado_14, t0.fecha_asignacion AS fecha_asignacion_15, t0.causa_rechazo AS causa_rechazo_16, t0.observaciones AS observaciones_17, t0.volver_presentarse AS volver_presentarse_18, t0.intentos AS intentos_19, t0.fecha_intento1 AS fecha_intento1_20, t0.fecha_intento2 AS fecha_intento2_21, t0.fecha_intento3 AS fecha_intento3_22, t0.turno AS turno_23, t0.fecha_baja AS fecha_baja_24, t0.certificado_vacunacion_ok AS certificado_vacunacion_ok_25, t0.talla_uniforme AS talla_uniforme_26, t0.talla_jockey AS talla_jockey_27, t0.talla_calzado AS talla_calzado_28, t0.talla_camiseta AS talla_camiseta_29, t0.estudio AS estudio_30, t0.proceso AS proceso_31, t0.base_movilizacion AS base_movilizacion_32, t0.centro_movilizacion AS centro_movilizacion_33, t0.unidad_militar AS unidad_militar_34, t0.recluta AS recluta_35, t0.localizacion_residencia AS localizacion_residencia_36, t0.unidad_militar_inicial AS unidad_militar_inicial_37 FROM recluta_proceso t0 WHERE t0.recluta = ? AND t0.proceso = ? LIMIT 1
Parameters:
[ 190053 47 ] |
Database Connections
Name | Service |
---|---|
default | doctrine.dbal.default_connection |
Entity Managers
Name | Service |
---|---|
default | doctrine.orm.default_entity_manager |
Second Level Cache
Second Level Cache is not enabled.
Entities Mapping
Class | Mapping errors |
---|---|
App\Entity\ProcesoReclutamiento | No errors. |
App\Entity\Adjunto | No errors. |
App\Entity\Curso | No errors. |
App\Entity\Recluta | No errors. |
App\Entity\NmclDominioLocalizacion | No errors. |
App\Entity\ReclutaProceso | No errors. |
App\Entity\BaseMovilizacion | No errors. |
App\Entity\CentroMovilizacion | No errors. |
App\Entity\UnidadMilitar | No errors. |
App\Entity\NmclNivelLocalizacion | No errors. |
App\Entity\NmclLocalizacion | No errors. |