Inheritance diagram for FiftyOne.DeviceDetection.Examples.ExampleBase:

Static Protected Member Functions

static IEnumerable< string >	GetUserAgents (string userAgentsFile, int count) Loops around the User-Agents file returning User-Agents until the required number have been returned. More...
static IEnumerable< string >	GetUserAgents (string userAgentsFile, int count, int randomness) Returns User-Agents that have had a number of characters altered. More...
static IEnumerable< Dictionary< string, object > >	GetEvidence (TextReader evidenceReader, ILogger logger=null) Read the specified yaml-formatted stream and return evidence collections. More...
static IEnumerable< string >	Report (List< string > input, int count, int maxDistinctUAs, int marks)
static void	OutputException (Exception ex, int depth=0)

static IEnumerable<Dictionary<string, object> > FiftyOne.DeviceDetection.Examples.ExampleBase.GetEvidence	(	TextReader	evidenceReader,
		ILogger	logger = `null`
	)

static protected

Read the specified yaml-formatted stream and return evidence collections.

Parameters: evidenceReader - A TextReader containing the yaml-formatted evidence data to be ingested.; logger - A logger instance. If null is passed then progress messages will not be logged.

Examples: OnPremise/OfflineProcessing-Console/Program.cs, and Performance-Console/Program.cs.

static IEnumerable<string> FiftyOne.DeviceDetection.Examples.ExampleBase.GetUserAgents	(	string	userAgentsFile,
		int	count
	)

static protected

Loops around the User-Agents file returning User-Agents until the required number have been returned.

Parameters: userAgentsFile - Source file of User-Agents where each User-Agents is a single line of characters; count - Number of User-Agents to return

apply

static IEnumerable<string> FiftyOne.DeviceDetection.Examples.ExampleBase.GetUserAgents	(	string	userAgentsFile,
		int	count,
		int	randomness
	)

static protected

Returns User-Agents that have had a number of characters altered.

Used in examples where caching of User-Agents or difference matching techniques are required. The selection of characters is random.

Parameters: userAgentsFile - Source file of User-Agents where each User-Agents is a single line of characters; count - Number of User-Agents to return; randomness - Number of character adjustments to apply