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1. Introducción
En este artículo se muestra cómo crear un cluster de máquinas virtuales Windows con Terraform en Azure sin usar módulos externos.
Si no estás familiarizado con Terraform, recomiendo eches un vistazo a los artículos previos de este blog listados a continuación, ya que se hace uso de diferentes elementos importantes previamente explicados en ellos:
2. Consideraciones Generales
Este artículo supone una ampliación al artículo anterior Terraform: Creación de Máquinas Virtuales Windows en Azure. En este artículo se añaden los componentes necesarios para crear dos máquinas virtuales en un mismo availability set de Azure, lo cual puede considerarse como un cluster de servidores.
La inclusión de varias máquinas virtuales en cluster aumenta la disponiblidad de nuestro sistema mediante la ubicación de las máquinas en diferentes dominios de actualización (update domain) y dominios de fallo (fault domain). En el primer caso, se asegura que las máquinas no existentes en el dominio que se está actualizando (mantenimiento de hardware, software, etc.) estarán disponibles, nunca se actualizan los dominios al mismo tiempo. En el segundo caso las máquinas en cada dominio están conectadas a racks físicos diferentes, por lo que si falla un fault domain, las máquinas virtuales asociadas a otros dominios no serán afectadas.
En este artículo se muestra como crear dos máquinas virtuales en el mismo availability set, cada una de ellas en un update domain y fault domain diferente. En artículos posteriores se mostrará también cómo crear un load balancer con Terraform capaz de distribuir tráfico TCP sobre el cluster de máquinas virtuales.
3. Configuración de Terraform
La configuración de nuestro proyecto de Terraform es la misma a la ya explicada en el artículo Terraform: Creación de Máquinas Virtuales Windows en Azure en lo que se refiere a la estructura del proyecto, fichero variables.tf y fichero terraform.tfvars por lo que no volveré a incluirlos. Puedes verlos en el enlace anterior.
Repecto al fichero main.tf hay alguna modificación para incluir las dos máquinas virtuales (en lugar de una sola) junto con las respectivas tarjetas de red (NICs) y direcciones IP públicas, además de la inclusión del availability set:
# Referencia al proveedor de Azure y configuración del service principal. El valor de client_secret será asignado a traves de la variable de entorno ARM_CLIENT_SECRET.
provider "azurerm" {
# Non-beta version >= 2.5.0 and < 3.0.0
version = "~>2.5"
subscription_id = var.azure_terraform_sp["subscription_id"]
client_id = var.azure_terraform_sp["client_id"]
tenant_id = var.azure_terraform_sp["tenant_id"]
# Required. Leave it empty if non-used.
features {}
}
# Referencia al blob (key) del contenedor (container_name) en la storage account de Azure (storage_account_name) para almacenar de forma remota y centralizada el estado de nuestro proyecto de Terraform. Este bloque no permite el uso de variables. El valor del atributo access_key es asignado mediante la variable de entorno ARM_ACCESS_KEY.
terraform {
backend "azurerm" {
resource_group_name = "jm-inn-core-rg"
storage_account_name = "jminnstgacc"
container_name = "terraform"
key = "tf-learn-vms-cluster-hcl.tfstate"
}
}
# Crea grupo de recursos donde se incluirán la máquina virtual y resto de componentes
resource "azurerm_resource_group" "rg" {
name = var.azure_new_resource_group["name"]
location = var.azure_new_resource_group["location"]
tags = var.azure_new_resource_group_tags
}
# Crea una Azure Virtual Network para ubicar la subred que contendrá las máquinas virtuales.
resource "azurerm_virtual_network" "vnet" {
name = "${var.prefix}-vnet"
address_space = ["10.0.0.0/16"]
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
tags = var.azure_new_resource_group_tags
}
# Crea una subnet en la Azure Virtual Network anterior para ubicar las máquinas virtuales. En Azure es obligatorio crear una subred donde ubicar las máquinas virtuales.
resource "azurerm_subnet" "subnet1" {
name = "${var.prefix}-subnet1"
resource_group_name = azurerm_resource_group.rg.name
virtual_network_name = azurerm_virtual_network.vnet.name
address_prefix = "10.0.0.0/24"
}
# Crea un par de direcciones IP públicas que serán asignadas a las tarjetas de red de las máquinas virtuales. De este modo podremos conectar vía RDP o HTTP con cada dirección IP pública de las máquinas virtuales.
resource "azurerm_public_ip" "publicip" {
count = 2
name = "${var.prefix}-publicip-${count.index}"
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
allocation_method = "Dynamic"
tags = var.azure_new_resource_group_tags
}
# Crea tarjetas de red (NIC) a asociar a cada máquina virtual
resource "azurerm_network_interface" "nic" {
count = 2
name = "${var.prefix}-nic${count.index}"
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
ip_configuration {
name = "${var.prefix}-nic-conf"
subnet_id = azurerm_subnet.subnet1.id
private_ip_address_allocation = "dynamic"
public_ip_address_id = azurerm_public_ip.publicip[count.index].id
}
}
# Crea un Network Security Group para controlar el tráfico permitido a nivel de subred. Se configura para aceptar tráfico TCP entrante en los puertos 3389 (RDP) y 80 (HTTP).
resource "azurerm_network_security_group" "nsg1" {
name = "${var.prefix}-nsg1"
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
security_rule {
name = "RDP"
priority = 100
direction = "Inbound"
access = "Allow"
protocol = "Tcp"
source_port_range = "*"
destination_port_range = "3389"
source_address_prefix = "*"
destination_address_prefix = "*"
}
security_rule {
name = "TCP_80"
priority = 200
direction = "Inbound"
access = "Allow"
protocol = "Tcp"
source_port_range = "*"
destination_port_range = "80"
source_address_prefix = "*"
destination_address_prefix = "*"
}
tags = var.azure_new_resource_group_tags
}
# Se asocian la Network Security Group (NSG) y la subred creada anteriormente. Así, las reglas contenidas en la NSG para filtrar tráfico aplican a toda la subred.
resource "azurerm_subnet_network_security_group_association" "association" {
subnet_id = azurerm_subnet.subnet1.id
network_security_group_id = azurerm_network_security_group.nsg1.id
}
# Crea Availability Set para incluir las máquinas virtuales con dos update domain y dos fault domain
resource "azurerm_availability_set" "avset1" {
name = "${var.prefix}-avset1"
location = azurerm_resource_group.rg.location
resource_group_name = azurerm_resource_group.rg.name
platform_fault_domain_count = 2
platform_update_domain_count = 2
managed = true
}
# Data source para referenciar Azure Key Vault con secretos de usuario y contraseña
data "azurerm_key_vault" "kv" {
name = var.azure_key_vault_name
resource_group_name = var.azure_key_vault_resource_group_name
}
# Data Source para obtener nombre de usuario administrador guardado en Azure Key Vault
data "azurerm_key_vault_secret" "vm_username" {
name = "vm-username-default"
key_vault_id = data.azurerm_key_vault.kv.id
}
# Data Source para obtener password de usuario administrador guardado en Azure Key Vault
data "azurerm_key_vault_secret" "vm_password" {
name = "vm-password-default"
key_vault_id = data.azurerm_key_vault.kv.id
}
# Crea el cluster de máquinas virtuales
resource "azurerm_windows_virtual_machine" "vms" {
count = 2
name = "${var.prefix}-${count.index}"
resource_group_name = azurerm_resource_group.rg.name
location = azurerm_resource_group.rg.location
availability_set_id = azurerm_availability_set.avset1.id
admin_username = data.azurerm_key_vault_secret.vm_username.value
admin_password = data.azurerm_key_vault_secret.vm_password.value
size = var.vm_size
network_interface_ids = [element(azurerm_network_interface.nic.*.id, count.index)]
os_disk {
name = "${var.prefix}_${count.index}"
caching = "ReadWrite"
storage_account_type = "Standard_LRS"
}
source_image_reference {
publisher = "MicrosoftWindowsServer"
offer = "WindowsServer"
sku = "2019-Datacenter"
version = "latest"
}
tags = var.azure_new_resource_group_tags
}
# Instala IIS mediante una extensión de máquina virtual.
resource "azurerm_virtual_machine_extension" "iis-windows-vm-extension" {
count = 2
name = "${var.prefix}-vm-${count.index}-extension"
virtual_machine_id = azurerm_windows_virtual_machine.vms[count.index].id
publisher = "Microsoft.Compute"
type = "CustomScriptExtension"
type_handler_version = "1.9"
settings = <<SETTINGS
{
"commandToExecute": "powershell Install-WindowsFeature -name Web-Server -IncludeManagementTools;"
}
SETTINGS
tags = var.azure_new_resource_group_tags
}
Como aspectos destacados, fíjate en los siguientes puntos:
- Uso del atributo count (con valor 2) cuando hemos creado los recursos de tipo
azurerm_public_ip
(IPs públicas), azurerm_network_interface
(tarjetas de red), azurerm_windows_virtual_machine
(máquinas virtuales) y azurerm_virtual_machine_extension
(extensiones de máquinas virtuales).
- Creación del nuevo recurso
azurerm_availability_set
para crear el availability set con dos update domain y dos fault domain.
- Asignación de las máquinas virtuales al availability set anterior mediante la asignación
availability_set_id = azurerm_availability_set.avset1.id
. Azure automáticamente coloca cada máquina virtual en los dominios adecuados. En este caso cada máquina virtual iría ubicada en un update domain y fault domain diferente.
4. Ejecución de Terraform y Verificación en Azure
La ejecución de nuestro proyecto de Terraform sigue el mismo proceso que el ya explicado en el artículo Terraform: Creación de Máquinas Virtuales Windows en Azure por lo que iré directamente a verificar el resultado de la creación de infraestructura en Azure:
![](data:image/png;base64,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)
En la imagen superior vemos cómo se han creado las dos máquinas virtuales vm-cl-hcl-0 y vm-cl-hcl-1 junto con los componentes relacionados correspondientes. También vemos la existencia del availability set vm-cl-hcl-avset1. Si accedemos al availability set, podemos comprobar la existencia de dos fault domains y dos update domains, con cada máquina virtual en fault y update domains diferentes:
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA8UAAAEdCAYAAAAlwMUHAAAgAElEQVR4Ae2967dlV3mfyad8zof8AfmWfBSku5MRM9I9Okl3EHFiJ3ESEkqNg2JDonK3sV0gOY1sg4QsjFMStwgLaLWNZEu4JQpsyyUBBgnHNiUQV3GRC3GTBAgVMkgFtvHq8azid/SeqbXXvpx99uXsZ45xaq01L+985zPnmnP+9lp717M6gwQkIAEJSEACEpCABCQgAQlIYEcJPGtH222zJSABCUhAAhKQgAQkIAEJSEACnaLYQSABCUhAAhKQgAQkIAEJSEACO0tAUbyzXW/DJSABCUhAAhKQgAQkIAEJSEBR7BiQgAQkIAEJSEACEpCABCQggZ0loCje2a634RKQgAQkIAEJSEACEpCABCSgKHYMSEACEpCABCQgAQlIQAISkMDOElAU72zX23AJSEACEpCABCQgAQlIQAISUBQfgTHwktsf7q770GNHoCXPbMKj3/6L7m+/7vPdnZ/99jMTF4iB08Vvf6j7zve+v0Dp+YvE/2e94pMT23CU+29eYvD6+28+293/8Pl5ix5a/kV9sl8PrUs0LIGlELjhhhu6U6dOLWTrqaee6k6ePNmdPXt2ofKLFMLXa665pqNugwQkIAEJLJfAVFHM5MskfOmll+79OSkvtxPGrJ05c6a75Nix7ty5cxOzbdLm+/rrruv428WAkEPQIaISEOH0z1jYpP4b83MVaYsK0Orbsnku6tOy/aht9FwCu0jgvvvu29uHZE9C3KKhimLE7ZVXXjm61tZ61iGKa/3bfM5+hn3Nc559Uf93xx23b3Nz9F0CEjgiBGYSxe2noXUhOSIcNrIZ58+f766++qqpn0Rv0uZ7Vp83EvgBnZokiqc9xd+k/jsgggMXX1SA1oqXzXNRn5btR22j5xLYRQIIYPYfywp1L6MoXhbV6XbuOn16b18TgcwDAIMEJCCBdRJYSBS3CxOv9ORT27pgscgcP368Tztx4sTeJ7A1nnL19SXK109+a11ZtG666abeZvLV+utTbGzFr1pHC7yWv/XWW/e9EoUN6sP/2D6o/3ffffeeX5VX6xeLxBVXXN4hNBMQWLyKy19eA2bz/er3fb2/Jv5vvOqBfa+fkt6WwV5bjteUEQAJiDxspS7qqAKv2q3xfOo7y9PiCxwv2xsXqbceW0FCnSd+99H+lWr84po8+J7rWr49x0/KECJi337m3B6ftCP1khYGKdfa5JrXu8OYY+pJXMu22sBu6iWe85Srddb+ID2vlKcdcEk85eqYGKufOlsfaD/jiyNpszKvPk6rk1fYqSNtpd3hjp34lXZyzXmYkDf9Th/99y8+uc9erX8S09q23E99xeWf+FTHQpu32k9ay7SY7E+H+o0EyoUJdWIPHwwS2HUCdT9QWSCsWKPb9Z541m2OCXWPwTnrP3ZTtt2TpBzHsb0C6diLnXbPw1Po7F3YF7H+xV6uU1fisVXtEJ89Q/ZDdT9BekK1kTJJO8wja/+8T34XKXOYbdC2BCSwmwTmFsV5nTqClGPEIgizyLAIsQgwcdeQxSvlW3uUTxrlOM+EfkFEHd8nopn4a/0sENisi0dbR/Wn9Z9ydYGi7rooLcP/tCd+UedQaBcKNt7ZcJOfDTPCgk10FcJc80dgM33V+77en0eEYIcwrVz9bmfETspyTB2xG/FCP/GEu4r5vsLmnwv9Ob8ojtiJKGqv40dTXX9Z/U6b0g6u/9brPt+L5dgO71yP2Y7IIW8C9YVZ4toj9ScP9lMn+Woa/U0dBPKl3WlHbKTcpDHRG2j+aevlOlw4pq5waK/JT1odM00V+y4zZuIzZd/5iSeeYYO6sZ0Qv1K+piVPZUYceSYxrW1L+faYNsdGrlM3bUgaZet9mfa1Nrke6jfy41PCLP4lr0cJHHUCdT9Q20o8fwTWFdZsjqzXs4jilBt7fXraXqHdi9T8F9a6p/cu5K3iu5ZlX8CH8xwJ7BeyZyBfzmOzXqfdte7eyAr/afct06re5bfLprExXQISWC2BmUQxi0o+/ayCMaIuixGuc84kPZRGep3U09SU4ZqyQ/ZIYxGoixZ1tK92k29IkFMvfzUM+djaxJ9abpn+4wtthe9QYHHJK0WIgBfc8uU9UVTzTxMBNS+b7mzUx8q1m3NspOyQ+Eka+eDPE26OBw1tXa3PY9ek5Ykb54TarlbEVqHV1kvZWhd2YjuCqLWX+shLiJhKuYiq2K319wWaJ6OJiy3qxeZQvbGZMlUYRozhR4QzdmKPMpRv/Yut1nauh/ynzFB9xDGeKVNDy736QT58Io6Qemv5Nn7IpzEbQ762PtU6sD/LfTnLeBmqp+2Xtq1eS2CXCLBeZi/Cse5HwqGu4csSxdP2CkN7jupHu3eZdp22cKz7o7r/aG1UH9u0am/Tztnn8GeQgAQksG4CM4niKjwRifwRMgnXRYrzPLlloeCTS+IidJnUq8jEDhM4dWBvHlE8tOBhr9ZbfYvfvfM/8L+2LW2qcZSp/i7T/9r2+JQjn54iLCOKxzbHrThoBUfdkCOEItLGypEn+eJT4vCFJ4URdzlGrMB/E0Rx/K5H2hA/4dT+MBZpiKYhgZL2V3v1fMjetDKUTz9EwIVnjhHdLfc8rR2qNzbjXzsmEl+PaXubt7U1dl19jKiudeS8CtPEcWy5x6fkqeUqLzgnVP9qnvDkGKY1b8q3x9Yn0tOvpNUPE2rZabbbfhuyNRRX6/BcArtEoArE2u52LxKxPLRHqHuMur6PCUns130Bdde4oXrIk7pa29OuW/GPHQL7j5y3Nmp9nMdGfdOtN7Ih/8CMH9vKHmdD3NINCUhghwnMLYqZyPJadF0UxhjWMnVST5m60GURGUprF4FqN/k5Et++MlXTc56FlPoTWpv404riLEops6j/lK9lYy/H+qR4aGOefO3mu4oaNu+kJ2Qzz/U85Wr+aRt1GCqKLxCvvNMH7TH9MPbUse3/2getuKp9lbrqmEhce4zgbH2Of8k/7Zp8rb8pmyN1RZgmbqgcdZE3IT7mmmOEb/JV/8aYUrbmrTbr+VBbwmgoLWWn2W77bchWmye2PUpgFwkMrZftOl73JUN7gbrHqOt7u7+ofNs6SKt7hXqectWP1vbYNW3MgwVs1TbX/VNrg7y1bfGjtZf4dR6XuUdYZzusWwISOFoE5hbFNL9OskzSdQIfwlMXFCZyPsXFBqGmcV0nfSZOPuWMCJ20CNT6851iyqTckE+Ja/3nOp8ykwcbxCUc1H9sx17aFxapI0dEcf3BCjbZVUhM+u5iFUB1Yx7xwIaeUNO4ruU4z/drk8artrUs5YcCjA7zO8XxgbrbNrTXrX+Ujd9DgoM0xNWQQKFsrbu1PWRvWpm2DeSvfZw6Wtv4uOwnxbSZutvXgVum067xOWMtQjXtyJG68D88uR76TjHp6a+UyXVscaw+1XPSJjFty1V79Zx62+9KYzO+U1/ts0n3ZbXJedunxGGLvwTO08+J8yiBXSXAWtmu660gZf3Jd2vb/QXl65trdX0f2l9UzrPsFepehLpy3doeu6ae2kbOc13TWhv4Sr52PzGUr7Zr2eftvmXIfv3AfyjdOAlIQALrILCQKM5Ck4maY31NmUk5gi/xEYI0kkkacZi0OonXcixsiNzUM2lyr/Unb3xMHVXotqBr+aFfn66+L8P//AIlvrW2q2+8VsTiUQOb5LwGms0zx2zQyctmO9/XjJCgDKKW+OQdK4cdBE3qYtNff306oifp+W4q5Q7716fjP3W1bWivyVMDZclDmCRKFhXF2MQ2TOIjx5xXP+p563NshG2EJXYSR3/wR/9Oakett46JWnd7Tt1V4JE+5F+1nfQ61iqDto5ct/mHuNc8iEMEJ/W144+4BNrKeKxikvSw4xim8T1lh474MCaKKVPtx5dptof6rW0X7U0/D/lmnAR2iQB7hazxtd3EZ63nTTbEKPsFQk2jLH/Zc3Be12Cux9blpJOn3StQV02PICa+3buMXbd7F2zyR8DXnLc2Uj9tq20e2/v0Rpf8zzRRnK+G5f8ozpG3y6b9OOeSXdWcBCQggX0Eporifbl34AJRzmLGcdlhaBEbq2PTfpWRTX7ExCS/l+0zgkRRMIm28UedwKwfZhx1DrZPAhKQgAQkIAEJHCYBRXFDt34q2yQd+HJeUUyFPC3mxygOQ6TP0yDEcH3yNqksnxK3T7cn5Z0lnnrbJ5ezlDOPBLadQJ4a16fy294m/ZeABCQgAQlIQAKbSGDnRTGvI+W1K471ladld9gionjZPsxqL6+g5pXT+nr0rDaWkW9d9S7Dd21IYF4C9TVs7r28ij2vHfNLQAISkIAEJCABCcxOYOdF8eyozCkBCUhAAhKQgAQkIAEJSEACR42Aovio9ajtkYAEJCABCUhAAhKQgAQkIIGZCSiKZ0ZlRglIQAISkIAEJCABCUhAAhI4agQUxUetR22PBCQgAQlIQAISkIAEJCABCcxMQFE8MyozSkACEpCABCQgAQlIQAISkMBRI6AoPmo9anskIAEJSEACEpCABCQgAQlIYGYCiuKZUZlRAhKQgAQkIAEJSEACEpCABI4aAUXxUetR2yMBCUhAAhKQgAQkIAEJSEACMxNQFM+MyowSkIAEJCABCUhAAhKQgAQkcNQIKIqPWo/aHglIQAISkIAEJCABCUhAAhKYmYCieGZUZpSABCQgAQlIQAISkIAEJCCBo0ZAUXzUetT2SEACEpCABCQgAQlIQAISkMDMBBTFM6MyowQkIAEJSEACEpCABCQgAQkcNQKK4qPWo7ZHAhKQgAQkIAEJSEACEpCABGYmoCieGZUZJSABCUhAAhKQgAQkIAEJSOCoEdhoUXz27NnuxIkTHUeDBCQgAQlIQAISWCaB++67r7vhhhuWaXKqrXXUSRtX3c6pIMwgAQlIYIMITBXFTz31VHfy5MmVCFMWimuuuaajToMEIHD9ddd1d9xx+z4YXF9xxeXd+fPn9+LPnDnzjLi9xCknQ3WkCHVQ13OefdHeX1t38nqUgAQkIIHDI3Dq1KlBYYfYY/+wSJhVoC5zfzJrnYu0ZxvKnDt3rrvk2LG9NbVd47ehDfooAQkcPQKK4qPXp0eqRUNiFxH7/Iuft++DGhbVRRfWaaL46quv2lfXkQJsYyQgAQlsCQFF8ZZ01BQ37zp9em9NjUBmrTdIQAISWCeBA4liJjNeb7700kv7v/bVnDY9n+SSL2XyZJjFLnEcyctr01deeWWHHUJrr9aXxTK2jx8/vjfprhOwdU8mQP8eP37ZXv8O5aTPeTJbxwDX/GURzdPcXGMX0czTXT6NrmXz6TTpDzzwwL6nwDVvfMH2JFHcCnHqJS9l0ra33nhj70d8Q4DnqXOtDx9hwWYhvrdPpCe1K756lIAEJHCUCWSdb9vIup/9RfJkL5D9RMow12bfwvHuu+/e9/S5lhvbn2Dvwjx/vN+7YCtrTerKcVqd1Q7+0oYEznlbD19I44i9ep2362o9rR3aFbuc33rrrXs2Wt8rg5SJP9OOYx8yTyq7SJlJtoyXgAQksCiBhUUxkzCTcp0w66SbyTkLFZP+pz71qX4yv+2223p/WxvkxWYmeMpEFLd5MVDrw4+6+HFdbS0KyHKHR+DCRmBcFLeCF3HJApoj3lU7jDvEJXEE8kVUVyFdWzW2IB9EFCNu69NrzqvQjW/Ugd+I5JqOX/wRJrWrtsNzCUhAAkeZAOs6634biMteo90LsBYg+jhmH5G82afEJtez7k/Iy/4ka027f4mPs9SJf/GpzU978iF/0tpr8hCwETu13aTV/RLnsZG0MJjEuK9ghn/G1tOh4mNr7FB+4yQgAQkcFoGFRfHQAsAkzCeaTNykZ5Idc54JuE7oVchiL6J4Wn3tRF7LjtVv2uYTQExGHHJETNK/ecpcBXLNS8vYuEQUT1qsJ8VTPqI8T3c5RuhyzDl58al9Ukz98aOK9djOU2jytem1jZPa1Rv3HwlIQAI7QKBd59Nk9hoRg0N5SCd+aB8xtlehDH+EtmxbD3M4+5fM+fGtLRdb2R+1dqalt/nb69TLPqz+HkwYkF7PU1/2XkP+xuZhHFl/+TNIQAISWDeBA4niTOppRF0UmKj5GwrE81Q3f8nXTsZV2JI2rb6aXn0Z8sG47SEQsUmfRkTWT5erqEU8VgHLOU9ssVEFbhWztXxLpdbTpmGj2omflOE8op1y+B5xXu1QN6Ke9FYU1zKT2lVteS4BCUjgKBNgr1DX+bSVOPYIhKE8xPE3tI9o48iXvQlHrgnki3BMPTUf5/Xpa1/oB+Van2ud8S35ObJ+5AED6bX82HWeJMev6g820pZ63tbHNfmwUdtb/VvGOesbb0ex/hkkIAEJbAKBA4nidsIcm8jT2KEJPRN1u+hgb9EnxUy4+MfRsN0EIkz5vm2exNIihOItN9+8J5QTV4XqUMsjjrMYr0oUt6I37WKcM07bdOLTXto0rV1DbTVOAhKQwFEh0O4RaFf7RLTdY5AHEUjZofI1fz2nHNf8EdqyNa3PMOGfthzZaj31PCYoEyHcpk+6jiCmLKHlUoVwPSdv3bvFB45tXTXtIOesd0MfEh/EpmUlIAEJHJTAwqKYSY3vwTBpJtSJlkmWTykzQXPNd4prnkzisdEuHpSJKJ5WXzt5k19RnJ7ZzOOFMTL+neJ4jnCtry4TT3meAtfv4RJ37NgL+7SUHTpWIVzP27xVuLZpiOrUHaGd66G2UU/SsVXLM1751Jw8hNiLEJ61Xa2PXktAAhI4KgSyD8i+gnax9tcP6LmuT0jJmx+Sasvnmn0JYd79Sb6rPMY3dcTnXKfOC2vF03ul7IuSv93bTLrGbv2OM3arf7Vt9RzfyZsn07Ut+ADbecLYeho75MmH0onzKAEJSGDdBGYSxUyKeR2HY7vAJI3JuoZM9qRnkcqCkDgm4pTLYkAakzHlI4qxW8uSJ+VIaxcK8iqKa29s3vmF8TGbKGYBzWvQaQl9jJCMcEw8eesr1CzAEZmJj/ikDH5gG1vYrKEtR/nkq2mUr0+yJ7WNeuNDFcjUy5NinnwnvfqIT0Ptqr56LgEJSOCoE7gwt174xWf2AdmPpN3sBdhXZN+SvUfSa3nK1l+fZh4mbpb9CfbYp5A3fxG6qSvHsTrJU9OxFUFMWru3Gbuu/rB3ggG2CVUI1/PUH1GM/bSnZdsbmvIP61a7Jtcidd3MWsexroc1v+cSkIAEVkVgqihelSPWI4FdJhBRnA3MLrOw7RKQgAQWJdCKxkXtWE4CEpCABHaLgKJ4t/rb1m4oAUXxhnaMbklAAltFQFG8Vd2lsxKQgAQ2hoCieGO6Qkd2mYCieJd737ZLQALLIqAoXhZJ7UhAAhLYLQKK4t3qb1srAQlIQAISkIAEJCABCUhAAoWAorjA8FQCEpCABCQgAQlIQAISkIAEdouAoni3+tvWSkACEpCABCQgAQlIQAISkEAhoCguMDyVgAQkIAEJSEACEpCABCQggd0ioCjerf62tRKQgAQkIAEJSEACEpCABCRQCCiKCwxPJSABCUhAAhKQgAQkIAEJSGC3CCiKd6u/ba0EJCABCUhAAhKQgAQkIAEJFAKK4gLDUwlIQAISkIAEJCABCUhAAhLYLQKK4t3qb1srAQlIQAISkIAEJCABCUhAAoWAorjA8FQCEpCABCQgAQlIQAISkIAEdouAoni3+tvWSkACEpCABCQgAQlIQAISkEAhoCguMDyVgAQkIAEJSEACEpCABCQggd0ioCjerf62tRKQgAQkIAEJSEACEpCABCRQCCiKCwxPJSABCUhAAhKQgAQkIAEJSGC3CCiKd6u/ba0EJCABCUhAAhKQgAQkIAEJFAKHKopvuOGG7tSpU6W65Z2eO3euO3HiRHffffctZBTf+FtXeMntD3fXfeixdVV/ZOp99Nt/0f3t132+u/Oz3156m+5/+Hz39998tqOOVQbGRcYG44S/oxpo58Vvf6j7zve+v7YmHnY/H6SN+Pa3Xvf5jqNBAhIYJ8B+45prrumeeuqp8YwHTKWede0fxvZVq2r/AfFZXAISkMBGEphJFJ89e7Y7fvx4d+mll/Z/sy4GY5P3KmmwQLJQLiqg5/X1zJkz3SXHjnUI90lhk0Tx9ddd1/G3iWESJ0TwYYupaWIJ3571ik/2f3/jVQ/sCZdJPs/Kt4riWcu0+fJhQfzjiF/TwrQ2Tyu/7vRJfTLm1ya1eRXjeoyFaRLYZAJXXnnlM9bVedZ39gDLEM2bKoo3ue+qb+yN2CM959kX9X933HF7TfZcAhKQwFoITBXFCGKeyHJMuPvuu2f6JHYXRfH58+e7q6++ah+vcKvHgwqnauug57P6fNB6Fik/SSTA7zCeDlcfx8QS9fOXQN4PPfRkf3nQvl2WKOZDg3mfco+1OW3d1ONYn4z5vEltnjTex/w3TQK7QmDow232JidPnpxpT6Io3oyRctfp03t7pAhkHiYYJCABCayTwEyieNKCw2TGIlWfiCKE80SW81tvvbXPw1NmnjZXcc2nrUNPnymfeAQ59smLH9RH3EMPPdTxqTH2SOccsZ4n2vk0mDTyx17iW8HOdfKkTjpmyDZ5JwUm9iuuuLxDaCYgcvLELk832cC/+n1f7592klafNLZP+Sif0Jbj1eEqfGpd2H/BLV/ee4KJDcrHl2qXT2pX/bSYvjt+/LJ94yftzJG28QozwiWhipg2nTRY0sawIQ4OeUWXY+VSmaUMddV6UneOcGxFOXbp3/CNrTYv5YhLqD5Tnn5L35Av5+SvvtYxE1s5wmWSKMZmHXvxE7/iO8fUiy3yEFfrDJ8Tv/ton5Z2Vds1f/qK9NinjrCYVA9tIk98i19pa47kafskaZSp5eqYSDvefubcXh3xifKT/Gr7G/vT2kgebNf2xGfS0kaOxMc37BK4zvgOw9rGaruyTx6PEthmAkNPaOtaXtNZX9gX3HTTTf3aXtd41nr2GeSp+xueOnNNPKHuUeq+oNbT8qQe6sy+g+u6D+E6ocbjE3ZrqPXXvcukfVX1K+1nX5S9TbVf6273ZpVVLVN9m3TOPmLeJ7+LlJlUv/ESkIAEFiUwVRTn1aQ6kacyJlUmao4J5KuiuE62xGdh4TyTfMpyrHm4vvfee3v7TMzVFnVWUYzdag8/4nPaEL+wS1ome461bPUtC0fSc11tVf/byZ2NboQw+dh4s5lm81o3rdnMkofNcDbKbILrdwqnlat1UXetIxty6siGPvWwgPKEu4r52q7DOKfOaaKYemkzvifUdkSEwKmeJy9H0iaJYjgg0jgSaj9QbtJ3iuFW2db6Wn+5DmfycU4cofWZOrGb9lZblIuApeyYf9gdE8XVd+qIP63NdpzU9NZXfMJOtV19xif8T13kT1+29ZCWkDxcj+Wjrlp3ynPERphyje8ZE2lH/Eod5M85tmtIfGzStnd+4ok9AR1bqTvX5I/gjR/1/qaeeg9X3uEXX+JDrlvbXFdb1X/PJbCNBCL0sueo+wDaw1qedf/C+nJ8b50nva7tXJNnkihm34D45Eioe4paT59Y/iFf9jnZL7TX2T9wzDm+kI8jod2X5A097Ne90CS/0n7SCdV+uycijf0U/o61rTc05Z92DzQle7/nmOXtuml2TJeABCRwUAJTRXEqYGLl08ZMsMQzgSIWOSaQnkmecybYhDoR10k46Rxr+RrfTtTUWUVxzlOm2q/1Jj2+VTtJI38+LR5KT9nkr0cWhLwGxKa1PpGs+dgkZ0NNfLsZTt7WxqRyX/uBCMoGmfK1LBvq9okr9ccH2skTbo6bFqqAaYVAbVeblnbU8i2X5MkRfhEwVZAkvR5JR4S1QqztI65rv9Q64J/6Yrv2S2xNaltrOzYioNonj6THZvLiT8RT2+aaRv46ptq8Q7ar37WvUndtf+sXeSaVybiNnRwn9UllSl7yVVHcfvhR2z3kVy2fujlO8hcbhNrelKv2a72kV8ZDZck/yXYtm7o8SmDbCdQ9AnuNfGBNu+o+oe4B0uY2P3kmieKUyZGy1E2o9SQ9x3Z/MO065eq+o54nPcfWXm1T9attf90H1TLYrfW1aan3sI7smfgzSEACElg3gZlFcRxlQs4ihICaRxRjg/JMugSOCO18ilon5tSXY53siatitZ4nf/WtLgZJz8JS8yWNY/wcso0v/LWBp6wIy4hiNshjT+vqxr5usiMkImiq6KobaOpPOURxK8CrgMGXvAIbuxyzoaadmyqKwwMBkPYSR2hFSG0n+SujlKlcSCffEJNZRQX56KPU1/YR10lLfeHeijXSa1xstT6Tj1Dz/iCqPyw69to2t2zCifg2LxXH3+pL2t/2FXnwPyxoI/cLdRBPqP2ZujmmTK2nnrd90nIifUwU1/Qhv2j/kA/T2ljbG3+rb9jNBxSkV8Y1X8pWP1vbY2Mg5T1KYNsIVNGWdTptqPuEVhSSp5blepoozh4lrx9TH6HW00eUf7K3SNTYdfYmsZ8nwJP2Jdhs7dU2VL+G2k9Z2tS2K/UTT8AOcdnrpS3LPNJGfmwr+6Vl2taWBCQggUUIzC2Kq3Admrgz6eJMO3nXstVZJmIm38cff7w/ZmKueepkTzx15+lwPU+ZulBk4al249tQ2ernUDq+8DcU6pPioQ1yyrChZhObkM1t+8S3FUOzlsNurX/aBpl2bqoopi3Z8LfCoLYxLNu2hy0sCZVpK0Kq2KmCpNoeOq/l2j7imvSEmjftShrHWj7nEWbVTvK2ccSP9Xdsps7Kp21z9TX5c2zzEt/arqyH+mqo/bWtY+2IH5OO1fd23Iy1GXu1bOxXv0iv4jV5prVxqL0ww17qrXYr46Gy1c82/SDs0h6PEtg0AlmTs2/gOqHuE4ZEYcqwxhPqPoHruva3eblm30Co9fQR5Z/sLRI16brdl9S600b8a0Nrr7ah+jXUfsrSjtqW1n69rvZq/EHPN32/cdD2WV4CEthOAlNFcSbQNDK0RM0AACAASURBVI+JNt97aSd18vLpIkcCE3CeAnPNBDv0yWOdvMlTy9TvFGMvoS4anFMm6fELW4Rcxy/iyJt0zqtf5Mt1rSd1Uy5lE5cjorj+yAQb3rrJrd8pZhObkE362W9+b99rzsTX7xy2oiPl2LBjr9bFdfuUmfJDgT7Y1O8U4284/L03/Wl/njYMiRDSqoBp81QunFcmnOeaOtvXamO7fg+ZuFqOc+wm1DrwpX6vNu3iSOBIn6V8tUXcsr5THPupc9JT0/gb0ZY2pVzLB3+rj9STMdn2AzZIp0wbars5H8pTy9DfY31SRWzGRvxqmY+1OX4lTzhyne8UD31NIf6Tv96T+FV5VT9pH76FcfxMX6QduW5Z4hNt5GiQwFEiwJr9yle+cm/NT9tYl7MPqPuKpNe1nbh2fad8ntZWW+TFbmy3abGffKQnUGbouq277q1iJ/sQrut3iqs9yuUV8OrXUPvxBQbZM9U9Ufytx/CqcdPO2z3QUP768GAo3TgJSEAC6yAwVRRHUOb1miwYcZZJM2lZNDLRcl1/hbGK3VqutcnEHptZFOpkT911Qck5P4qRctRdQ+qLPdLrwsJ1yiZPW0/sUa6WTTxHXgViwq+BDXFe/czmOJvr5GPDG2HCJjf52RCzsSWdMFYu6SmLSKivVGcTnfS6Od/UX58On/geIZN4NvwRIZwjMNK+CBbycp74yiV2kwbf9FEVJKkvx9pHlE0Z0iNeInaqX8TxwUjNX23RPvyL7+TLeduO2I9P9VjrTNvCrrVZxx42SKdM6k17WjtDfCjLr1GnH6qPta/iK3VQZqgfkqdNq+M2eThWjm2fVBuUpw9yv6Ud+RXt2vZarrXZMqb+sTbiI+2lXvoCe21ban3Yi2/YJbR9QZ6EsMw1ZagnZRPvUQLbTiDrefYaaU/dJwyJwrqfSVnKZO1nD5HfE6l5SWePkH1FrSd15zi0t6j7hZqedmCfN9/Ye+B3AnnjW+qu5cm3iChOOfZesZ99T+VR92zxadpxmijO18zyfxTnyJtqq/yhz2ntMF0CEtg9AlNF8TYgiSiui8m6/GZS35RfUpx1U7xJPq+r36x3OQRawb0cq0fHSitcj07LbIkEJCABCUhAAhLYXgKK4kPoO54W8wMSiPV1BgQKf9MCn+y2T7enlTFdAkMEFMVDVJ6OUxQ/zcIzCUhAAhKQgAQksCkEFMWb0hNL8IMNN69k5i+vyy7BtCYkMBMBRfE4JkXxOB9TJSABCUhAAhKQwDoIHAlRvA5w1ikBCUhAAhKQgAQkIAEJSEAC209AUbz9fWgLJCABCUhAAhKQgAQkIAEJSGBBAoriBcFZTAISkIAEJCABCUhAAhKQgAS2n4CiePv70BZIQAISkIAEJCABCUhAAhKQwIIEFMULgrOYBCQgAQlIQAISkIAEJCABCWw/AUXx9vehLZCABCQgAQlIQAISkIAEJCCBBQkoihcEZzEJSEACEpCABCQgAQlIQAIS2H4CiuLt70NbIAEJSEACEpCABCQgAQlIQAILElAULwjOYhKQgAQkIAEJSEACEpCABCSw/QQUxdvfh7ZAAhKQgAQkIAEJSEACEpCABBYkoCheEJzFJCABCUhAAhKQgAQkIAEJSGD7CSiKt78PbYEEJCABCUhAAhKQgAQkIAEJLEhAUbwgOItJQAISkIAEJCABCUhAAhKQwPYTUBRvfx/aAglIQAISkIAEJCABCUhAAhJYkICieEFwFpOABCQgAQlIQAISkIAEJCCB7SdwqKL4hhtu6E6dOnUolM6dO9edOHGiu++++xayj2/8GTabAP18/Phl3dmzZ1fi6KrrG2sUbX7+xc/r/1bV/jF/DsrmMNuDb5ccO9Y959kXdWfOnBlrxs6nweqKKy7vOBJmZUe+Vd6LO99RAjjSBLifrrnmmr378Eg31sZJQAIS2AICM4liNrPHjx/vLr300v5vVjF5mKJ4HrZPPfVUv/gsKqBnratd5PhAIMxynJXdrHUe9XyzbsQjuO644/YDIZmlPupAfPF3/XXX9fWdP3++FxqJzxGh9uijj05Mo75JAdu1PYi9areWHUvD/iJ8sI//8WEWNvgcHxFecElo25P4eoyf2OADAa4TxtLwMX1RWcQXjmlH7NVj2381b60XO7OK7vCLD0Pl8LlyGvNjLG0eH/GriuLKLkwqQ8YAZWbp/5T3KIHDIMAazlo6aS1nzeXDcsbqpgd83FVRzIdrbR/Nsj5sep/qnwQksN0EpopiNlssMhwT7r777g6hOS0oik8940k5TLZl0Z7Wv6tIn2UjHmFx9dVXjQqfWfydVh9iISImIqUKqFrH2CI/lhYb5ImQ4v47duyFe/dhFTJjadhalA91VDE5jQ1+3HX6dNzv66XuhNqexNUj9hFgaXNlPZaGDXyd1A/4NbQJq3VXnm07b7nllr0NXMu62qjnrY2alnNsIfwznogf82MsbR4f8a0VxZVd5R5fOc7SpprfcwksmwBimPXz5MmTz9iDMD5J25b1FX93VRSzFtQ5h7mQ9Zs11SABCUhgXQRmEsVDCxAOD03qiL58isv5rbfe2k/8fLrL02Ymv4T6JJW8Cfk0mDJZ4MiLHywixD300EPdlVde2dvDD84R63miTT6EexbKPKlNPPVhM4Hr5EmdpA3Zrr6mfPLWRQ77tY7kbetO/K4dGQvTxAr8yYPYQkAg0qqIqMzahZY04vKkrpaLIElahNi0+lphN0lAjC3yY2n4HLEd3/D7tttu27eJwM8IGzYXdYNR06bxqen1PD7WDxqmsanlOQ+b+FPbM7T5IT98E8hD/fgyllb7OE81Y4Nj22c1LedtnvY6+dI3+JMA+7ZtxNU8yZtj2nbLzTfvG89tvfW6nmOnva62GRu1fvLGR+6ljJ0aDzveaiCOPmvDvP3flvdaAgclwN6AfQB/zAs1sNbedNNN+4QmebInYH3P3oT47Bmy7te1elI56qtprPfscWpZzmOz3SvUfQb7lbpfqG3Z5nPmj7oeDbXlAsOnnxZTJvNVnU+JT6BM9gBD83zyeZSABCSwKIGpojivHreTOxWySWondfJl4eG8CmHiIzg5p2z7xLnmoY577723r4eFptqi7iqKsVvtUXd8ThviF3ZJy0LGsZatvlFPtZ3raivwWx7YTR3Jw7Har/G7dt4ujEPthykLIJv4CCkWyrpYphxxdTGmLE/QCBEzSUcYUD+BxTiL7Fh9ETIpR9lJbcCXLPJ9JeWfsbSSbZ/owe/4Tp7qy1haa6/aqGn1vNquTMfY1PI5b/2a1m54kaeGlBlLI39bV2zQP7M8gaB86qadfBBT+zn2SIugTL11bDKuyEOdCN4I0Zon5aiTdtW0MT/G0uIfxyEf0zbSOc94r75wHl74H9+pl4DdWe/FvoD/SGDJBFg7WbtzjHnGJvuBrK1cExCeuY9Jy/6DOPYT2SNwTVryTiqXepIvdrLOp/7sa9p9RurDN87jT9pxFI7ML5kzxtqTfDDMHN3Oh8kD90lz8lgdpklAAhKYh8BUURxjTOB8+lkndSaqaaI4iwV2qjhlImQRy+JV62FhaQN22rqrKM55ylX7td6kYwub7SJHOvnzSfRQesrGVo4tD+zX9icfvmE/C2fiPT6TAEzbxRB+xJFWQxbQGlfPWaiHFmvsROiM1cfbCa0vtWzqmuQf6UNp+BQBUgUS7WGTQOBYhQzX+c7tWFp84tjywZd88h5bbb5aZowNaTW0PsUu8YShuomrr4gnD2XG0rA3qW+r/+TDTziGd/yJDeIrC+IT2g9W6ocHycMxdVB3QvWDOtPP9Tx5Mx6G/BhLo3zr41CfEZfxTpnKDn9gEC61fD2Pr/TL0L2YdI8SWCYB9gasv4zFuubX+HZPkvopkzTGbd1/DO0Rhsq1+xDyZJ0fslH9qv5SrvqTunbpmLmDuYj5JnNX5h5YcM7cOZS2S6xsqwQksBoCM4viuMOClKeqQ5M66RG1Q+KxppMPoZ1PS6sYTX05totRXRTrefJX34YWq/hW86Usx/g5ZDuLYM3PeWtrUr4slG15r59JAKazCFFKVuERSxEREUFcE7BbxVEE51h9vFrKJ9os5glZ2CmXUEVG4nIcS0ueHGlP3SDUtuBH9WUsrdoj31jIJiR5KtMxNrX9lOGvDW172nSuqT99xWaJNobBWNoQV3yq4m+oPuKy4Qqb9po89HMV7MRNsj/ECd/x5dFHHtnnU+Kps623XtfzIZ/n8bH1u7Kr/mCTkDEw1K7W1g+KeJDAoRCoa2fW17pvYDxG+OIA1+wv8jpz9hrcz1UUkzdr/li51Fkbl7jsM1JXjvjzyCOP7PMrdVRfq81dOWduydqbOS7zf47Mm6TRl1mzmacMEpCABJZNYG5RPLYA4VxdWCI843QtmziOLHQsDo8//nh/5LoNLDzYS2CCzCev9TzpLHp5GpvFqtqNb0Nlq59D6VkEU1eO5K2L3FC+IV9S3uMzCcC0FcX0LWKJhbKGbN4Tx2afuIRs/lubXEc8tWmUTX3JVxfkVkTgUxWrqZvjWFrNl3N8r3UlnmN8ahmMpbV8qj3OsQWHbEbqkbJjbOLHmM9jaa0vXIc3xza0aenbmg921DktwLJ92ln7dRLrIR7UNdTPscd3wyvXnLPZ+9j990/044EHHpiYRn3z+Ni2t7IbsgND8gy1dyj/NN6mS2BRAlUUMx5Zb3nVOXuDxHHkL3sE6qtpjNtJonisXLsPwW72EnXf0LavtUn6kA9tuaN+XefooXlzqP2wbPcEQ/mMk4AEJDAvgamimEWoikkmcj5t5dgKPPLx6Wjys1jkk1kcY0FhEaNcDXVxIE8tU79TnIWPsnWR4ZwySY9f2CLkOn4Rl4Us59Uv8uW61tMbK69L5TpH8lKOI4H64wPX8SN+ptyuHun3Voy0LGCJYIi4YeFEuLFJb0M274mv17VcWy8Lcz6tnlZfxA32YpO4BGwPCXbSx9JSvh7xv9pO2lC9s6RVHsk/7VjLzMKG/JPCpPaM5R/qZ/JXv7iuwi72Zq1viCdl+SNt0occ8SNPMrjmO8WUwZ/Ex/5QW6aNp+oH9up4qGnTfCRvAucZ78RVdq2vjNk8IZ/W/7HvUQKHRYC1ua6fnNc9B2M0azBjtwpfymZv0abhL7bI06a15bBBHgJHvpucdZ5j9g4tA+y3vsefNu82XzO/DM11Q21iPqtzU503h/ITlzmqzoWT8hovAQlIYB4CU0VxhFxeBao/dkVFLBhJy6RPHIFrfg2SiZ88dQGo5VqbLCyxmQWGuLqgsPjlU+Cc8yuQKVfzVj9jj/QsZPE1ZZOH+NjOIkgc5WpZ4gh1QeaaPLGZY9hcKLHb/17YUDzzu8GVCkwRzvVHi+oiWvO2izFl2fzzNI7vZyIcslhzzFM6xAZ/5J+lPupJ2diLH1xP8m8sLeXrETtZ+GtbqDvx5B9La+21/tb0ofPKdBobbIdLjvV7sbU9Q3Vls5Oy1dexNGyRt+aPr/W+HaozcS3D9GEbH9+STnnOp8VX31InR/ox4pnrtr5az6S0Nr71pWVXf32aOofY1fsmDKln1nuxttFzCSyLAOtnXdsZm3kjjDoYo6zfHAl1DSY+aZSrgpm82M36PKkc+ereBXvtr09jJ+s9x9hs91K7/OvTfeeU7wznmmOdT5nLmCPbOW7SfFrteC4BCUhgXgJTRfG8BteRnwkzAnkd9VunBCQgAQlIQAK7R6CK6d1rvS2WgAQkcHQIKIqPTl/aEglIQAISkIAEVkSAp8D1DbgVVWs1EpCABCRwCAQUxYcAVZMSkIAEJCABCRwtArx2zde98np0+9Wvo9VaWyMBCUhgtwgcCVG8W11mayUgAQlIQAISkIAEJCABCUhgWQQUxcsiqR0JSEACEpCABCQgAQlIQAIS2DoCiuKt6zIdloAEJCABCUhAAhKQgAQkIIFlEVAUL4ukdiQgAQlIQAISkIAEJCABCUhg6wgoireuy3RYAhKQgAQkIAEJSEACEpCABJZFQFG8LJLakYAEJCABCUhAAhKQgAQkIIGtI6Ao3rou02EJSEACEpCABCQgAQlIQAISWBYBRfGySGpHAhKQgAQkIAEJSEACEpCABLaOgKJ467pMhyUgAQlIQAISkIAEJCABCUhgWQQUxcsiqR0JSEACEpCABCQgAQlIQAIS2DoCiuKt6zIdloAEJCABCUhAAhKQgAQkIIFlEVAUL4ukdiQgAQlIQAISkIAEJCABCUhg6wgoireuy3RYAhKQgAQkIAEJSEACEpCABJZFQFG8LJLakYAEJCABCUhAAhKQgAQkIIGtI6Ao3rou02EJSEACEpCABCQgAQlIQAISWBYBRfGySGpHAhKQgAQkIIGNJXDDDTd0p06dWol/586d606cONHdd999K6nPSiQgAQlI4GAEFMUH42dpCUhAAhKQgARWSABhe+mll+79zSp0D1MUnz17trvyyis7xPA6AuL7mmuu6Z566qmp1c+Td6qxBTKcOXOme86zL+o41gC7K664fJDh9dddty8/vJ9/8fP2xVVbnktAAhKYl4CieF5i5peABCQgAQlIYOUEEHwIv1b83XbbbYNCqnVQUXyByCaI4mPHXtgdP37Zvn6bJIqH4hHJ+Wv72WsJSEACixBQFC9CzTISkIAEJCABCayUAE+EEbZjoT5FPn78eMcTxYRWFHOdJ8686lyf8kaAJz1Po6v9lEFkJh9H8mCLJ8epn2vyJ19tR54y33333XvpqS++12P1m3zVJ+zjT1tf7A3ljY3UgT8nT57ce+pcy1S/k78eEap33HF7jXrGOU+Ik49jAj4PPSnGXrWZfF/4whcG88eeRwlIQALzEFAUz0PLvBKQgAQkIAEJrIUAT4gRfJMCaRGq5InYREQREHRVHNYnzpTNdQRx8lL+3nvv7UXirbfeuicWsReR2NZFmYji1l7rC2UR8NUW7SC+DfiUfDWt+k881/wRsFPttXmxmbYmf0Rxm7c3OPJPxO5Ilv6VZ/KdP3++F7V5jTpiN/2FDfJcffVV+1hEVJM+S31jvpgmAQlIIAQUxSHhUQISkIAEJCCBjSWAUBsSijgc4RkhmEYgIBPHOeKvCtbko3zsU0dEYdKHjtiNQKVM/U5xrWNIWNY62rKT2oIPQ7bG4kmrbRvKOyaKW98of9BQRS328xr1kCiueam3FdKk83SZeIMEJCCBgxBQFB+EnmUlIAEJSEACElgJgbEnxa3wi0NV8FVRjK36RJL8EdBV7MZOjqTlFWiOs4ri5Isd6o4PQ8IzviR/PdIm6s6TbdJasRxhHV/rq+Rt3soIW/hTPxRIm+tT+OrPvOet0OXVaJ74Doli4smfUEU0cUNPkpPXowQkIIF5CCiK56FlXglIQAISkIAE1kIA8daKyzgSEYiAq6GKS86xgfjKq83JW0V1KxqTp43nOv60wrbW0ZbDXhWebVnSq9+pvz1WHrWOlkVtGzZqXq6nieLUm3K5XvTYiuI8/b3r9Ol93xEeEskIaH65uv1DPBskIAEJHISAovgg9CwrAQlIQAISkMBKCCCSeFoZIZpK8+vTiLv6NLMVmxHFlON80pPW1IM9Atd8p7iK0NiIL21dlInwbu2lbOy3ZZOOCB0LEamI3npe66Y89se+U1zLRlBXNvEhfuZ66DjLd3xbURwf+S+WLjl2bO8J/tAPbPGqNX7UwHVewa7xnktAAhKYh4CieB5a5pWABCQgAQlIYG0EItryWjDHKh4RmkmrAhmHqyjOdfK2IjBCNunU0daNvYjiag8fWmHa2osgplzEJnkSsFvblfhJ7au+UY6/+I44p30Rk23ees1r1vwKdl6frnbqK9jxpz0uKoqxgwiOKB56LRoxPfT94TxpprxBAhKQwKIEFMWLkrOcBCQgAQlIQAISkMDSCQw9TV56JRqUgAQkUAgoigsMTyUgAQlIQAISkIAE1kug/YGt9Xpj7RKQwC4QUBTvQi/bRglIQAISkIAEJCABCUhAAhIYJKAoHsRipAQkIAEJSEACEpCABCQgAQnsAgFF8S70sm2UgAQkIAEJSEACEpCABCQggUECiuJBLEZKQAISkIAEJCABCUhAAhKQwC4QUBTvQi/bRglIQAISkIAEJCABCUhAAhIYJKAoHsRipAQkIAEJSEACEpCABCQgAQnsAgFF8S70sm2UgAQkIAEJSEACEpCABCQggUECiuJBLEZKQAISkIAEJCABCUhAAhKQwC4QUBTvQi/bRglIQAISkIAEJCABCUhAAhIYJKAoHsRipAQkIAEJSEACEpCABCQgAQnsAgFF8S70sm2UgAQkIAEJSEACEpCABCQggUECiuJBLEZKQAISkIAEJCABCUhAAhKQwC4QUBTvQi/bRglIQAISkIAEJCABCUhAAhIYJKAoHsRipAQkIAEJSEACEpCABCQgAQnsAgFF8S70sm2UgAQkIAEJSEACEpCABCQggUECiuJBLEZKQAISkIAEJCABCUhAAhKQwC4QUBTvQi/bRglIQAISkIAEJCABCUhAAhIYJLBPFH/i4x/rXn/9ye7aa672TwaOAceAY8Ax4BhwDDgGHAOOAceAY8AxcOTHwD5RjCB+5OGHB9WzkRKQgAQkIAEJSEACEpCABCQggaNGYJ8o5gmxQQISkIAEJCABCUhAAhKQgAQksCsEFMW70tO2UwISkIAEJCABCUhAAhKQgASeQeBAovhLX/pS94Y3vKE7fvx4d9lll3W/8Au/0H3oQx96RiVGSEACEpCABCQgAQlIQAISkIAENpHAwqL43nvv7UXwRz7ykb12feMb3+he//rXd29729v24jyRgAQkIAEJSEACEpCABCQgAQlsKoGFRPGTTz7ZnThxouM4FBDGp0+fHkoyTgISkIAEJCABCUhAAhKQgAQksDEEFhLFCN5bbrllYiN4Ysyr1JsWvvTFL3avftUvdk9861sLu0bZy19+ovvExz++sI1ZClIPvuLzqsPp07/f3fT/DD/tX1X7V91m65OABCQgAQlIQAISkIAEdpPAQqL4Xe96V/eZz3xmlNiLX/ziiekIvcv+80u7F13ywv5vkgCbaGDBhGWI4mlVf/e73+1+9XWvPbBo3lRRPK39pktAAhKQgAQkIAEJSEACEtgmAguL4vpd4qEG88NbQwFh+oqX/9y+J6D3fPCDHWLysIOieDbCY0+KZ7NgLglIQAISkIAEJCABCUhAAttBYCFRzI9svfWtb53YQgQz3yseCgjTN7/pjRNFcF7P5SkyT5PJn8AT5Txd5mlshDTxt/7WLf1rzYmvdijD684RxYjw2Bl6Sj30tDd+f/3rX9/3WnOt+9pffk33ihM/u2cbX8jPEX8SKJPXr1s/EaQE4ie9Pp120ObKibL1OvUlnjRe/a6+4EdYJC2iGD+TVv2NX/ERnnny3/Ksddc02pAyqTf+epSABCQgAQlIQAISkIAEJLAqAguJYpy79tprO8RxG/jxrZe//OUd/13TUIjgrAIp+ZIWARbxh/ji792n3tVnTT4EFwFbVViRl+tq5/Of+1wvihFiqRv77VPr+BJhWK+JixCk7FDd8S11k39MFJMveas/bT3xgyP5aEfazxHxWq/z4QD+nHrXHfs+QEj7qbdy+/CH/6RvX+zFL65jr/rFOeVrWuVO+aSFFbaqjdouzyUgAQlIQAISkIAEJCABCayawEKiGMHLr08jjPl/ij/60Y/23zHmu8bET3u1mkYizBByEWjEtSIKQcdT5QjQCgdxxV9s5Tx2qt2Uw079oa1WwCYfR/LmiXb1oxV01FPrbm2SH2HIMYEyEZyJ4zhWT83XtmPadS1LvWEzyQ/akzyUrfZr++t56qAc5VsOpKfuobSU9ygBCUhAAhKQgAQkIAEJSGCVBOYWxRHEeRLM02LEMH/8KvWk/6ZpUqMQUXmaiGjK67r1GAGJ2KrxEaMRYqmD+KQljmMVd4mnbOwnjmMVqBFzxLdCsK27FXzkHxPFyZ928QQYP9t6qm9tO6Zdt1zxubav2uYcduRJqG2oftXz5A37tl1pX/qasjxVJn6If+x5lIAEJCABCUhAAhKQgAQkcJgE5hLFrSBehmNVnFXx2dpuhVrEF/laYdrmja1WPKbsJFGWOrCfPK0QbOuOGKz5J4niNm9l0daTNnBs2zF2jR8RopTlGp/buqv9lh++pA3Vr3qe8mFW25K0oeOQjaF8xklAAhKQgAQkIAEJSEACEjgMAjOL4mUJYkRZBCMNQtDle70IpPqd1NrgKj4j6BBghJoWmzxxTT3Uke8U19enUzb5emPlH8ohBnmNGt8IrYhr645vsdleE5+no62tlkV+0Kq41J+Sr7Zj7LoVuPjLH4E0eKdt9TvFyUM+0ucVxbFfBXlfafNPy6dJ9lICEpCABCQgAQlIQAISkMChEphJFC9LENOSiKC8TpvXhdNKBB5xSY+oQpjldVvSEaqTRDG2qp3U0YpH8iH+ImDjQ47xtRWIVaySFj9SLsI3vueaNpG/1lnTsEsZ/GwFc2xzbNsxdp02hGfqjz18T1r8JY58CYuKYspjJ/Y50t7al8S1/FKvRwlIQAISkIAEJCABCUhAAodNYCZRzI9n5TvEh+2Q9iUgAQlIQAISkIAEJCABCUhAAqsiMJMoXpUz1iMBCUhAAhKQgAQkIAEJSEACElglAUXxKmlblwQkIAEJSEACEpCABCQgAQlsFAFF8UZ1h85IQAISkIAEJCABCUhAAhKQwCoJKIpXSdu6JCABCUhAAhKQgAQkIAEJSGCjCOwTxa+//mT3yMMPb5SDOiMBCUhAAhKQgAQkIAEJSEACEjgsAvtE8Sc+/rEOYXztNVf7JwPHgGPAMeAYcAw4BhwDjgHHgGPAMeAYOPJjYJ8oPizlrV0JSEACEpCABCQgAQlIQAISkMAmElAUb2Kv6JMEJCABCUhAAhKQgAQkIAEJrISAonglq88olgAAIABJREFUmK1EAhKQgAQkIAEJSEACEpCABDaRgKJ4E3tFnyQgAQlIQAISkIAEJCABCUhgJQQUxSvBbCUSkIAEJCABCUhAAhKQgAQksIkEFMWb2Cv6JAEJSEACEpCABCQgAQlIQAIrIaAoXglmK5GABCQgAQlIQAISkIAEJCCBTSSgKN7EXtEnCUhAAhKQgAQkIAEJSEACElgJAUXxSjBbiQQkIAEJSEACEpCABCQgAQlsIgFF8Sb2ij5JQAISkIAEJCABCUhAAhKQwEoIKIpXgtlKJCABCUhAAhKQgAQkIAEJSGATCSiKN7FX9EkCEpCABCQgAQlIQAISkIAEVkJAUbwSzFYiAQlIQAISkIAEJCABCUhAAptIQFG8ib2iTysj8JKXvKR7xzvesbL6rEgCEtgeAts+P5w9e7Z7/sXP686cObMy6A9+/vPdO995W/fkk0+urM6jVtG2j7uh/rjjjtu7S44d686dOzeUvNFxjumN7p5R547ivUSDr7/uuu6KKy7vzp8/P9r+o5L4ve99r2MO+eQnPnGoTVpIFNMJdMb//r/94+6BBz69z8Ftnvj2NcSLI03gW9/6VvfSl760+6Ef+qH+b53C+DOf+Uz3cz/7M93f+7t/t3vOsy/qfuqnjndPfOtb3Z//+Z93v/7r/2/3lhtumKkv2ABj5wtf+MJM+c0kAQkME9ik+QEPv/KVL3evetUvdf/L//wP+jniR3/kn3d/+IcfGna+xK5CFL/nPe/urv3la/Y2Z+9733u7F/77f9c9/PDDxZPDO/3617/eXXH5K7qPfvQjM1XS+jtToRVl2pRxlz0e61H+Dipo695wlrWN/Kmb4w//0+d3b3rTG7tvPvbYinrj6WpWPaafrtmzRQlsyr3Eh0DcO4znGvigkg8smaMXCbOK4nnnx+pLfM99yB71P/2nl3b//Q//sPv+979fsx76+be//e1+b/wbv/Hrh1rXgUQxoF72sp/ucDahTnyJ8yiBTSLAZPnc5z63f0L8mte8prvnnnu6SZ8mkveLX/ziobn/5S9/ufuxf/Uv+w3vQw891HF922239aI4GxMmv1nCQSfZWeowjwSOOoFNmh9g/cd//MfdP/5H/7DfELA5/6M/+qP+Sezdd989tStWIYpn3ZxNdXbBDPO2cd3+TmrmJo27rD3XXvvL/ZNdNsd8UHuQjXDdG8b+2NpG/n//717QZV38vd/93V5c8IHQgw8+OAmj8RLoNuleirBclyied36swye+33LLLd03v/nN/oPH606e7B/gvPnNb+r+8i//smY/EucHEsU/87KXdT/+4y/qbr/99u6v/uqveiB14gPYb//2OzsmMQT0v/6xH9v7NDcd9Vu/9ZvdT/7ET/SQb7zx1zpeU+H6f/of/4fudb/yK3uvYPHonE8I+KScv7e/7W3dd7/73SPRCTZitQQuvvjivVemI4rxAGH8nve8Z58zCGbyHFZAyD7vn/yTZyzy2TTkEzqO5P3KV76y91SZT+3+63/91f4eIa3m5U2OBx54YN+rk7GZjQhinw+1uNfYdH/wgx84rGZqVwJbQ2CT5geECOshT2JZA4cCTwKuevWr+zWUtfFXXvvaflNI3qyzzA8EbNx26639nMN9z6f+n/700297sZmkPHaYX25+xzv6jc+kdZy5pM47rP91D0Cds/iXfUC77vdO/+Af9hPV98tf8fLuk5/8ZD/HxYc8zST+J37iP/ZzG215xzt+o2/HkL+wqU9sshHMJvbjH/949+L/8B/6drKXad+Oqz4e5HyTxl27VqRds+zpMtZaGxkXjz76aP+mYfqMY8qkHo7JT38kfOMb3+j+46Uv7n71da/r+xORzodD7C2xg4jmDYrsR+nvn/2Zn+l+7S1v6cc06Z/97Gf78cC4+Of/7If39qT4+2u/9pZ+LcQW991DP3jrqvqS8YFNxiBj9sSJn+tFQ/z0uF4Cm3QvZbxkPgmZdt7JWP3N37ylH4PsC0+f/v29scxYjDZi3L3i5S/fe3160tjN/J97LfPjrHpqyHfurXe9645+Dfnc5z7XN2eeOZ51ZUzrTZq7W1/gyRtJt9x8c+8Le9jf//0793iF87zHA4liOpEJ6F/86I/0YpbK6+QB+Pe///0dk+Bjjz3Wd+JLX/qS7s/+7M/2Fms690tf+lI/STG5MOEhjGkck9aHPnRhgkMEI8AZGPzRubf+1m/N217zS2BvwwiKKoq5ZlNYw2GLYj59Y6Jj08XmK5/EM/Fwz/A6dD6t55UzJjmeHH3nO9/pRexzn/tD3V133dW/av2BD/xBPzl87GMf6++xP/3TP50oirNh4ZXMxx9/vN8o3PPBD9amey6BnSRQ54B1zw+8EszXlD7zwAODfYFoRtiyjvKBGWsn6yQimfU3myI2YMwprKMIu/vuu69DYPChGm+q8IYK3wF+5f/9X/ryn/rUp3p7rMNj6/iT3/lOPz8xTz366CP9K9R1DzCrf/Gf+pjThuYi2sBGkfnviSee6N797nd3j3/zm/28STzzX55m0j7EK/4hpLH5iU98vL9mPq3+tpvTuvlibnzR/3FJ97a3vrWvk7phcxhhk8Zd1gf2eDWMjYU61ijT2si4gOnQ2lbr4Tz56Y8a+KCGMU5f33X6dPeP/uH/2q+BrKU80eKatZSA/+wjWSM///nP9ftGxgIfwrDvRDDzx9jnjcf3vvfuXtySRh2sj6y71ZeMD9K53zJ+8MuwGQQ26V7KeGEM1ZBxw31DYKxmbDI3M5aZ1xCe7TzK/MY8nu8UTxq73IPcC3V+5IOtWfXUJN+/9rWvdS/4t/+m46sorW+T1qBZtB4cJs3drS/wRDPCCY352tde2/uEbwcJBxbFAMYZGszEUieP1rGalgmURYaQ6wwcJjg+BeAa6ExASSM/A4gFnEnaIIFFCbSb3tbOYYti6uM7Ute85jX9DY5Azqth7aai9a2dJNpJNvcU8YRqj3uVzQD3LZ/yGSQggWcSWPf8wKaDdZD1cCgMiWYEwL/8Fz/ai9o6B2QdrZt3hDR5KYNo5Ikpn9SPhbqOk4+1OJszrmv6rP5lH5A57f/77d9+hgt8QI7g4ckg+46E2sbE1WOb3vrbzpvxgXYwN8KfDw/q18Sq/cM4X/e4y1qRJ0wcax+nzbWvW86xAW9CzdumxV491vxD8Wx+2QPyFkXGAw9cePDy1htv7ItQN0/Unnrqqb1rPuRAmBMYZ3l61keUf+o4qb5kfGSMpi2MkTyhLmY8XTOBdd9LGS+MoRraeacdq1UDtfMo44zxNnRPUkcdu+19mXWg+kP+IT01yfca3/pG/UNrUOb4+JP6azsrH86TF1a1TtIoX9dG8iD+s39ubc16fWBRTEV8QoxzPFLH0UwyPPUCBJtvXm9B1SetNhYb7XUFkLQ6QU+apGdtuPkkAIF1T5jpBSa5vM6cJzdZbJmwEhDQvOLFh0S8LsJ9kMmlnWRz3xBPaO21r+NM2ninbo8S2DUC654fWD/HFvp2Y0D/1HmgzgE5z+aEvHWdnSTAx9ZxbNQNGNd1DzCPf9WfOucRT0D48Bo0T/5gklcL067Mc+Tlh8n4+hX7EvIzTya99bfyomxlwjWbPvYv9esqxB9mWPe4y1qRt5RgguCkD2bd08VG+rKOizZtiGXNX9MRvC/76f+re/irX+33kxGn5Gnttn3dXtc6eMDCmwrHj1/Wv/1Y95g1Xzs+UuckgVJ993z1BNZ9L7XjJQS4j+rXNtqxWcsNzc01/9jYbefHXDO+69/Q+K0+xG+O+TCVN3q4N6o4Jb3Oqakv82973dYxae5u89V7MnXWeb76O8/5UkQxFQKH16h54hXhyye7/+yH/2kPiImjNqIF015XADm/884752mbeSUwlcDQhFlfvWmfFNe0qcYXyMAHTGzAmASz2DL5EfJ0lzczEMeIWO417itCnYi4zj2VTXA+RY898iDG+bVq7LzpjW/s7fiPBCRwgcC654dsPib9qMmkT+l5tY0naZkDmBvyhGDoSTHrN3l4Etu+qj22jkOpbs64ruv8PP5RNmt9naMu9MTT//JbIohj9hb8CFNtI7nydJc8tLn9GknrL+2uHzyEeeZVbPLBwEc+cl+/iWVuPuyw7nHXrj1p79hYSD9MWm/quJhkP/VwrPkTz/r4ghf82/6rcwiBSU+KM8bbvm6vax18HY91kNeseWW65q35MkaJI6QtQ6IifntcH4F130t8hYMPcV7zmqv33mhg38VvJPFwgzmKwHirbzXUV5S5p+oc1T4pHhu7uS+Z5wgZv7PoqeTNWKc8dfPKMkKYuXbeOX6SP9QxNne3vtR7Er9o30aJYj5BZLOOUxHFLB58EsJrWSw0vKqZtBZMe10BYJsN+7FjL+zuv//+vlP5SfB8ybvvaf+RwAIEhiZMfmyLH90iVFHMf9vEDzgsM3Bv8Mk3r3w88sgjHZtfNqZ8b42Fme80MaHynQnuCSZRfv0PQcwrKjwFyYSFLa55vZCFOt+H+y8///O9bb5HxXdWmHyZiPmBAkT+V7/61f57iYriZfasto4CgXXPD2xAeAOLt6y4jxGv9denuY+HvlPMf+PGulnXVWwNfaeYr2wwn/DHOf8lHOUQnL/3e7/Xf0A3aR2nj5m/ECqUoc66WZnHP2xl3WeOasP73/e+fgPGq7DvPnVqTxRHxPLf17EBxW8EM98lpk1s4OCXTWHrbxi98Q1v6OdZ6iY/7cAW+xh+w4H9Bt/jW5coXuW6FKHX9sPYnm5svaEv67ho17b8lkbtc/LXX5+mbn4YCyHMB8SEoe8U83Am/y0h/lex2l5Xn1j/WF8pm+9FpmzNlzFKHCGskreP9J+NIbDuORwQiFbmlDe84fX9/J03XpiPmZcJjE32b+zr2t97YI/2b/71j3W/9Eu/2Gsp9ni8KZgxNzZ22/lxHj2Vsc4cylyKAL76qlf3e9R8+DXvHJ/5NvNx6uB+Gpu7az541XuS640TxTiV/14mwheICGEGA7/Ox6/1Ja0F0163AFiUeIeeQYM9NgL8GIJBAgchwCvLQ09/EcAI44hirvk/jYfyHqR+xj1jmVfzGNd836n+euaH/+RP+k8ISeNJBa8M8okhEyITK5/WZXFmo/DqV72qt5Pvh9x7zz19fu4bPj3nPmTyZfP4S7/4C3291M0P83C/GiQggacJrHt+wBM2TWxA8mvKmSfyY0L8f8Css9zH3OdstPI/M7TrKvFvf/vb+vkDO/zgVP3/hDknjjTmGYTI2DqOfzyJRbzwgTj5283KPP5l3WeOagPzIqKUenibBpEMGzZ5/Jop7UfU8ONb2XQiotiQIuqzCWv9jZCHHW3mQwj2KbSDDyP/z5/6qZ4H6Tf8t/+2J8ha/5Z5ve5xF6HX9sO0sTBpvYFNOy7q2sZmuw3kp6/5y5jnQ5r6OzL0HT+4lnHBhzr119TxP8IB++119al+nYhX71lLU7bmyxgljhBWydu2w+v1Elj3vUTrGbN8SJdxyv+5zTyceZo8jE2+apr/8og5rt4XnOdrHIhgnjxnzI2N3XZ+RMTOqqcy1nMfsu/kvuAV5xrmmePbNSl1cD/h66S5u+aj7npPcr1WUVxheC6Bo0ogQpj/0zhPjo9qW22XBCQwHwHnh/l4mXs5BBx3y+GoFQls0r3UfmBj76yHwELfKV6Pq9YqgdUTYNJUEK+euzVKYBsIOD9sQy8dPR8dd0evT23Reghsyr2kKF5P/7e1KopbIl5LQAISkIAEJCABCUhAAhJYAQFF8Qogz1CFongGSGaRgAQkIAEJSEACEpCABCQggaNJQFF8NPvVVklAAhKQgAQkIAEJSEACEpDADAQUxTNAMosEJCABCUhAAhKQgAQkIAEJHE0CiuKj2a+2SgISkIAEJCABCUhAAhKQgARmIKAongGSWSQgAQlIQAISkIAEJCABCUjgaBJQFB/NfrVVEpCABCQgAQlIQAISkIAEJDADAUXxDJDMIgEJSEACEpCABCQgAQlIQAJHk4Ci+Gj2q62SgAQkIAEJSEACEpCABCQggRkIKIpngGQWCUhAAhKQgAQkIAEJSEACEjiaBPaJ4m9+42udfzJwDDgGHAOOAceAY8Ax4BhwDDgGHAOOgV0ZA/tE8dHU/bZKAhKQgAQkIAEJSEACEpCABCQwTEBRPMzFWAlIQAISkIAEJCABCUhAAhLYAQKK4h3oZJsoAQlIQAISkIAEJCABCUhAAsMEFMXDXIyVgAQkIAEJSEACEpCABCQggR0goCjegU62iRKQgAQkIAEJSEACEpCABCQwTEBRPMzFWAlIQAISkIAEJCABCUhAAhLYAQKK4h3oZJsoAQlIQAISkIAEJCABCUhAAsMEFMXDXIyVgAQkIAEJSEACEpCABCQggR0goCjegU62iRKQgAQkIAEJSEACEpCABCQwTEBRPMzFWAlIQAISkIAEJCABCUhAAhLYAQKK4h3oZJu4HQR+58Fru1d+8O90P/47f63/45w4gwQkIAEJSEACEpCABCRweAS2RhSfPXu2O378su7cuXODNIgnnXzzhOuvu667447b5yliXgkslcDXnnywF8PH3v2sbugPcUyeTQzcb8eOvXDu+24T26JPEpCABCQgAQlIQAK7SUBRPIMoZuP//Iuf1z3n2Rd1lxw7NlGY7+YQstUHJYDoHRLDNY48Y+H8+fPdFVdc3o9Rxil/XBNvkIAEJCABCcxLgIcN7Hl4eGCQgAQWJ+C9tDi7VZZUFE8Rxe0TaJ4qKzZWOUSPdl28Hl3Fbz3/yTv/enfmkdu7n37v3+zzjL1Kjfi9+uqr9j2x9S2Ioz12bJ0EJCCBwyLAXgdB/NYbb1QUHxZk7e4EAe+l7enmhURxu9lGOCIUOZLGJMpkytMqrvMJSa6n4Tlz5szeE688mZ319em7Tp/ee6rbilcGZvsUrW1L6xu+kCehFcmJ9yiBRQiMPSV+4LE/6J78i2/tieKxp8VDoriOXe4fRHOeHLf5GeO33Hzz3tPm3He0ifuGdP64f3hrAnuEel/m3qj3YL13yB8b2CFf5o3emP9IQAISkMBGEcj8v1FO6YwEtpCA99Lmd9pCopjNdhWcdfPNpjcb6ojh9pr8kwJpyU+ee++5pxfVdfM9VDZ1xa9cpy4GY9Ioz4YcYYC/pE0KpNV0ymAndieVM14CsxDgR7V4OszT4E8/9v6Op8Nc33n2ZF/85Id/ZO9JMnknhVbktuN0FlFcxS73BX8Exj8iNmOe69xL9b7MPZe0XNdysYldzuu9PqltxktAAhKQwHoIMN/XeXs9XlirBLafgPfS5vfhQqKYzS4bX44EJsxsfDmn4xPGrsk39OQ2tmKDY918c57v+GYjjy/tD22l7lYwVLvJQ9wkf2p7yEeZIR+rXc8lMAuBiOKf/8BF/VPhLz7x0e4t97+oL4owrq9TTxPF3JO5n3JfxIdZRHEd54zviFviGfMJ7b2YH8AbuweH0oir80jse5SABCQggc0g0M7/m+GVXkhg+wh4L21+ny0kimlWhGG72a4iM/nqZrtNr4jGxGvdiNcyOR/adFMvf2Ob7zF/sB0bqad9Apd4jxJYhEB9fTrCGDu8Ol0FMefzvD7NuOYvob1P23utvQ9qfu6BaqveT/W+nPcerHbip0cJSEACEtgcAu38vzme6YkEtouA99Lm99fCopgnSdlI09EJiZv1Ovk4jgnOuvmuZXI+bUPePkVOudbfxOfYDuKhepLXowTmJdD+0BbC+ItP3L/3GnUVxvP80FY7TqvIxcd1iOL2Hpx2T8/L0vwSkIAEJLBcAu0eaLnWtSaB3SHgvbT5fb2wKM5Tnmm/eNuKzva6RcSgqd8znOc7xe2mG1v8Eag3r4NyPet3iltx4aBue8zrgxKoT4urCK7nY0+Jqb8VucTVV6CHxnF9xbq9L6uIbsd87n2OVdi2deBDew9STwLn9V5PvEcJSEACEtgMAu38vxle6YUEto+A99Lm99nCopimtUIzcXR8QrvZbq+Trx4pn+9GRsjWzXfNm/NpG3LyUXfscp646m/s1SPiIuXiT033XAIHIfC1Jx/sX42uIrieI4jJMxaGRHHevMhYr/cVvzRdP9Bq78vDEMXxJ/eSvz491qOmSUACElg/AdaNrCHr90YPJLC9BLyXNr/vDiSKN795eiiB7SHA69EIYH5Qiz/Ox16Z3p6WDXtahfdwDmMlIAEJSEACEpCABCRw+AQUxYfP2BokIIGGQJ4aT3tLoynmpQQkIAEJSEACEpCABJZOQFG8dKQalIAEhgjwCl5eneboK3lDlIyTgAQkIAEJSEACElg1AUXxqolbnwQkIAEJSEACEpCABCQgAQlsDAFF8cZ0hY5IQAISkIAEJCABCUhAAhKQwKoJKIpXTdz6JCABCUhAAhKQgAQkIAEJSGBjCCiKN6YrdEQCEpCABCQgAQlIQAISkIAEVk1AUbxq4tYnAQlIQAISkIAEJCABCUhAAhtDQFG8MV2hIxKQgAQkIAEJSEACEpCABCSwagKK4lUTtz4JSEACEpCABCQgAQlIQAIS2BgC+0TxmTNnOv9k4BhwDDgGHAOOAceAY8Ax4BhwDDgGHAO7Mgb2ieKNkeo6IgEJSEACEpCABCQgAQlIQAISWAEBRfEKIFuFBCQgAQlIQAISkIAEJCABCWwmAUXxZvaLXklAAhKQgAQkIAEJSEACEpDACggoilcA2SokIAEJSEACEpCABCQgAQlIYDMJKIo3s1/0SgISkIAEJCABCUhAAhKQgARWQEBRvALIViEBCUhAAhKQgAQkIAEJSEACm0lAUbyZ/aJXEpCABCQgAQlIQAISkIAEJLACAoriFUC2CglIQAISkIAEJCABCUhAAhLYTAKK4s3sF72SgAQkIAEJSEACEpCABCQggRUQUBSvALJVSEACEpCABCQgAQlIQAISkMBmElAUb2a/6NUOEvidB6/tXvnBv9P9+O/8tf6Pc+IMEpCABCQgAQlIQAISkMDhEdgaUXz27Nnu+PHLunPnzg3SIJ508s0Trr/uuu6OO26fp4h5JbBUAl978sFeDB9797O6oT/EMXk2MXC/HTv2wrnvu01siz5JQAISkIAEJCABCewmAUXxjKKYzf/zL36eAno375NDbTWid0gM1zjyjIXz5893V1xxefecZ1+098c18QYJSEACEpDAPAR40HDJsWP9esLeZ94HDvPUZV4JHGUC3kvb07uK4hlEMU+TERhXX32Vonh7xvZWeMrr0VX81vOfvPOvd2ceub376ff+zT7P2KvUiF/GZ924+BbEVgwBnZSABCSwUQTyIeuZM2d6vzgikCe9qbdRzuuMBDaIgPfSBnXGDK4sJIrbzTYTJaKRI2lvvfHGvU8Yua6fknA9LTAB54lXJmI2+7O8Pn3X6dP9E13Kt0/KeE06dpPWtmXMt3nyjtkxTQIhMPaU+IHH/qB78i++tSeKx54WD4li7qPcb9w/iGbyEdr85Lvl5pv3njbnviMv9w3p/HH/1KcG9b7kPucerfdg6k97YwM75Mu8kXSPEpCABCSwXgJD6wVzdUTyer2zdglsDwHvpe3pKzxdSBQzMUZUYqRuvtn0ZkMdMdxej02spCU/tu+9555eVNfN9xDi1BW/cp262NgnjfJsyBEG+Dvrd4rnyTvko3ESaAnwo1o8HeZp8Kcfe3/H02Gu7zx7ss968sM/svckmbyTQityua6bmKGJuT5ZZmxXscs1f4R8mDR0L9X7Mvdc7rNc13KxiV3O670+qW3GS0ACEpDA6ggwZ9e5mpq5nnWvtDpPrUkCm03Ae2mz+6f1biFRzGaXjS9HApNlNr7txDl2nc12fapbbVVn6+abczbw9akVvrQ/tJW6W8FQ7SYPcUP+TMpb4z2XwKIEIop//gMX9U+Fv/jER7u33P+i3hzCuL5OPU0Uc09yT9T7In7NIorrhof7OeKWeO6ThPZezBscY/fgUBpxdR6JfY8SkIAEJLA+Au2cjyfE1TVifd5ZswS2h4D30vb0FZ4uJIopGPHabraryEy+OpG26RXXmHitG/FaJudDm+5M4mOb7zF/YjvHefKmjEcJjBGor09HGJOfV6erIOZ8ntenGav8JbT3aXuvtWO75m8n9Xo/1fty3nuw2omfHiUgAQlIYL0EfLq1Xv7WfnQIeC9tV18uLIrT0RGeaXa7uZ52nXIc21c+a1rdfNf4nE/bkLdPkVOu9S/xQ8d58g6VN04CLYH2h7YQxl984v6916irMJ7nh7ba+6GKXHxYhyhu78Fp93TLymsJSEACEjh8AvVNIWob25sdvjfWIIHtJeC9tF19t7AozlOe+r1Emt4Kx2nXLS5Edv2e4TzfKW433VWw40deB6VOv1Pckvd6XQTq0+Iqguv52FNi/G5FLnF1Mm5FMvdG+x1i4hKqiCae+ych9z7HKmzbOsjf3oPVDuf1Xo99jxKQgAQksD4CrQiua8n6vLJmCWwfAe+l7eqzhUUxzWyFZuLq5po8Y9dDuMif70ZGyNbN91CZaRvy+Ba72Zy3/g3ZTtw8eVPGowSmEfjakw/2r0ZXEVzPEcTkGQtDojiTccZ6va/4pen6gVY7tg9DFMef3IP++vRYj5omAQlIYH0EWAPy2y1+eLm+frDm7SfgvbQ9fXggUbw9zdRTCWw+AV6PRgDzg1r8cT72yvTmt2jcwyq8x3OaKgEJSEACEpCABCQggcMjoCg+PLZaloAEJhDIU+P6FsmErEZLQAISkIAEJCABCUjgUAkoig8Vr8YlIIEQ4BXtvDrNMa91J92jBCQgAQlIQAISkIAE1kFAUbwO6tYpAQlIQAISkIAEJCABCUhAAhtBQFG8Ed2gExKQgAQkIAEJSEACEpCABCSwDgKK4nVQt04JSEACEpCABCQgAQlIQAIS2AgCiuKN6AadkIAEJCABCUhAAhKQgAQkIIF1EFAUr4O6dUp08p6pAAABn0lEQVRAAhKQgAQkIAEJSEACEpDARhBQFG9EN+iEBCQgAQlIQAISkIAEJCABCayDgKJ4HdStUwISkIAEJCABCUhAAhKQgAQ2gsA+UXzmzJnOPxk4BhwDjgHHgGPAMeAYcAw4BhwDjgHHwK6MgX2ieCNkuk5IQAISkIAEJCABCUhAAhKQgARWREBRvCLQViMBCUhAAhKQgAQkIAEJSEACm0dAUbx5faJHEpCABCQgAQlIQAISkIAEJLAiAoriFYG2GglIQAISkIAEJCABCUhAAhLYPAKK4s3rEz2SgAQkIAEJSEACEpCABCQggRURUBSvCLTVSEACEpCABCQgAQlIQAISkMDmEVAUb16f6JEEJCABCUhAAhKQgAQkIAEJrIiAonhFoK1GAhKQgAQkIAEJSEACEpCABDaPgKJ48/pEjyQgAQlIQAISkIAEJCABCUhgRQQUxSsCbTUSkIAEJCABCUhAAhKQgAQksHkEFMWb1yd6JAEJSEACEpCABCQgAQlIQAIrIqAoXhFoq5GABCQgAQlIQAISkIAEJCCBzSPw/wOs4cVLc4nDQgAAAABJRU5ErkJggg==)
Referencias