f1cbfe71-b8c7-4e0e-8156-5d2bbef623cb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Computer Name
AD_ComputerName
True
150
Operating System
AD_OperatingSystem
True
300
Version
AD_Version
True
75
IPv4Address
AD_IPv4Address
True
Enabled
AD_Enabled
True
param
(
[Parameter(Mandatory = $true)]
[ValidateNotNull()]
[System.Windows.Forms.ListBox]
$ListBox,
[Parameter(Mandatory = $true)]
[ValidateNotNull()]
$Items,
[Parameter(Mandatory = $false)]
[string]
$DisplayMember,
[switch]
$Append
)
if (-not $Append)
{
$listBox.Items.Clear()
}
if ($Items -is [System.Windows.Forms.ListBox+ObjectCollection])
{
$listBox.Items.AddRange($Items)
}
elseif ($Items -is [Array])
{
$listBox.BeginUpdate()
foreach ($obj in $Items)
{
$listBox.Items.Add($obj)
}
$listBox.EndUpdate()
}
else
{
$listBox.Items.Add($Items)
}
$listBox.DisplayMember = $DisplayMember
}
function Update-ComboBox
{
<#
.SYNOPSIS
This functions helps you load items into a ComboBox.
.DESCRIPTION
Use this function to dynamically load items into the ComboBox control.
.PARAMETER ComboBox
The ComboBox control you want to add items to.
.PARAMETER Items
The object or objects you wish to load into the ComboBox's Items collection.
.PARAMETER DisplayMember
Indicates the property to display for the items in this control.
.PARAMETER Append
Adds the item(s) to the ComboBox without clearing the Items collection.
.EXAMPLE
Update-ComboBox $combobox1 "Red", "White", "Blue"
.EXAMPLE
Update-ComboBox $combobox1 "Red" -Append
Update-ComboBox $combobox1 "White" -Append
Update-ComboBox $combobox1 "Blue" -Append
.EXAMPLE
Update-ComboBox $combobox1 (Get-Process) "ProcessName"
.NOTES
Additional information about the function.
#>
param
(
[Parameter(Mandatory = $true)]
[ValidateNotNull()]
[System.Windows.Forms.ComboBox]
$ComboBox,
[Parameter(Mandatory = $true)]
[ValidateNotNull()]
$Items,
[Parameter(Mandatory = $false)]
[string]
$DisplayMember,
[switch]
$Append
)
if (-not $Append)
{
$ComboBox.Items.Clear()
}
if ($Items -is [Object[]])
{
$ComboBox.Items.AddRange($Items)
}
elseif ($Items -is [System.Collections.IEnumerable])
{
$ComboBox.BeginUpdate()
foreach ($obj in $Items)
{
$ComboBox.Items.Add($obj)
}
$ComboBox.EndUpdate()
}
else
{
$ComboBox.Items.Add($Items)
}
$ComboBox.DisplayMember = $DisplayMember
}
function Update-DataGridView
{
<#
.SYNOPSIS
This functions helps you load items into a DataGridView.
.DESCRIPTION
Use this function to dynamically load items into the DataGridView control.
.PARAMETER DataGridView
The DataGridView control you want to add items to.
.PARAMETER Item
The object or objects you wish to load into the DataGridView's items collection.
.PARAMETER DataMember
Sets the name of the list or table in the data source for which the DataGridView is displaying data.
.PARAMETER AutoSizeColumns
Resizes DataGridView control's columns after loading the items.
#>
Param (
[ValidateNotNull()]
[Parameter(Mandatory=$true)]
[System.Windows.Forms.DataGridView]$DataGridView,
[ValidateNotNull()]
[Parameter(Mandatory=$true)]
$Item,
[Parameter(Mandatory=$false)]
[string]$DataMember,
[System.Windows.Forms.DataGridViewAutoSizeColumnMode]$AutoSizeColumns = 'None'
)
$DataGridView.SuspendLayout()
$DataGridView.DataMember = $DataMember
if ($Item -is [System.Data.DataSet] -and $Item.Tables.Count -gt 0)
{
$DataGridView.DataSource = $Item.Tables[0]
}
elseif ($Item -is [System.ComponentModel.IListSource]`
-or $Item -is [System.ComponentModel.IBindingList] -or $Item -is [System.ComponentModel.IBindingListView] )
{
$DataGridView.DataSource = $Item
}
else
{
$array = New-Object System.Collections.ArrayList
if ($Item -is [System.Collections.IList])
{
$array.AddRange($Item)
}
else
{
$array.Add($Item)
}
$DataGridView.DataSource = $array
}
if ($AutoSizeColumns -ne 'None')
{
$DataGridView.AutoResizeColumns($AutoSizeColumns)
}
$DataGridView.ResumeLayout()
}
function ConvertTo-DataTable
{
<#
.SYNOPSIS
Converts objects into a DataTable.
.DESCRIPTION
Converts objects into a DataTable, which are used for DataBinding.
.PARAMETER InputObject
The input to convert into a DataTable.
.PARAMETER Table
The DataTable you wish to load the input into.
.PARAMETER RetainColumns
This switch tells the function to keep the DataTable's existing columns.
.PARAMETER FilterWMIProperties
This switch removes WMI properties that start with an underline.
.EXAMPLE
$DataTable = ConvertTo-DataTable -InputObject (Get-Process)
#>
[OutputType([System.Data.DataTable])]
param(
[ValidateNotNull()]
$InputObject,
[ValidateNotNull()]
[System.Data.DataTable]$Table,
[switch]$RetainColumns,
[switch]$FilterWMIProperties)
if($null -eq $Table)
{
$Table = New-Object System.Data.DataTable
}
if ($InputObject -is [System.Data.DataTable])
{
$Table = $InputObject
}
elseif ($InputObject -is [System.Data.DataSet] -and $InputObject.Tables.Count -gt 0)
{
$Table = $InputObject.Tables[0]
}
else
{
if (-not $RetainColumns -or $Table.Columns.Count -eq 0)
{
#Clear out the Table Contents
$Table.Clear()
if ($null -eq $InputObject) { return } #Empty Data
$object = $null
#find the first non null value
foreach ($item in $InputObject)
{
if ($null -ne $item)
{
$object = $item
break
}
}
if ($null -eq $object) { return } #All null then empty
#Get all the properties in order to create the columns
foreach ($prop in $object.PSObject.Get_Properties())
{
if (-not $FilterWMIProperties -or -not $prop.Name.StartsWith('__')) #filter out WMI properties
{
#Get the type from the Definition string
$type = $null
if ($null -ne $prop.Value)
{
try { $type = $prop.Value.GetType() }
catch { Out-Null }
}
if ($null -ne $type) # -and [System.Type]::GetTypeCode($type) -ne 'Object')
{
[void]$table.Columns.Add($prop.Name, $type)
}
else #Type info not found
{
[void]$table.Columns.Add($prop.Name)
}
}
}
if ($object -is [System.Data.DataRow])
{
foreach ($item in $InputObject)
{
$Table.Rows.Add($item)
}
return @( ,$Table)
}
}
else
{
$Table.Rows.Clear()
}
foreach ($item in $InputObject)
{
$row = $table.NewRow()
if ($item)
{
foreach ($prop in $item.PSObject.Get_Properties())
{
if ($table.Columns.Contains($prop.Name))
{
$row.Item($prop.Name) = $prop.Value
}
}
}
[void]$table.Rows.Add($row)
}
}
return @(,$Table)
}
#endregion
$cboBxLoadComObj_SelectedIndexChanged={
#TODO: Place custom script here
if ($cboBxLoadComObj.SelectedItem -eq "Local Machine")
{
}
elseif ($cboBxLoadComObj.SelectedItem -eq "Active Directory")
{
}
elseif ($cboBxLoadComObj.SelectedItem -eq "Import From File")
{
}
}
$form1_Load={
#TODO: Place custom script here
Update-ComboBox $cboBxLoadComObj "Local Machine", "Active Directory", "Import From File"
$cboBxLoadComObj.Text = "Local Machine"
Update-ListBox $checkedlistbox1 "Prompt for Credentials", "Prompt for Domain OU", "Enabled Computer Object", "Disabled Computer Objects"
If ($cboBxLoadComObj.SelectedItem -eq "Local Machine")
{
}
}]]>
1
mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089
System, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089
System.Windows.Forms, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089
System.Data, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089
System.Drawing, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a
System.Xml, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089
System.Core, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089