Configuration Interfaces

[Neuray API]

Description

This module encompasses the API components used to configure the neuray API as well as closely related interfaces. API components can be obtained from mi::neuraylib::INeuray::get_api_component() or from mi::neuraylib::IPlugin_api::get_api_component().

Classes

class mi::neuraylib::IDatabase_configuration: This interface is used to query and change the database configuration. More...
class mi::neuraylib::IDebug_configuration: This interface represents an interface to set debug options. More...
class mi::neuraylib::IExtension_api: This interface is used to extent the neuray API. More...
class mi::neuraylib::IGeneral_configuration: This interface is used to query and change the general configuration. More...
class mi::neuraylib::IGpu_description: This interface describes a GPU. More...
class mi::neuraylib::IHost_callback: Abstract interface to report cluster status changes. More...
class mi::neuraylib::IHost_properties: This interface contains information about a local or remote host. More...
class mi::neuraylib::ILibrary_authenticator: This interface is used for authenticating the application against the library. More...
class mi::neuraylib::ILogging_configuration: This interface is used for configuring the logging for the . More...
class mi::neuraylib::ILpe_check_result: This interface represents the return value of mi::neuraylib::IRendering_configuration::check_light_path_expressions(). More...
class mi::neuraylib::INetwork_configuration: This interface is used to query and change the networking configuration. More...
class mi::neuraylib::INetwork_statistics: This interface is used to inquire statistics about the network usage etc. More...
class mi::neuraylib::IPlugin_configuration: This interface is used to load plugins and to query information about loaded plugins. More...
class mi::neuraylib::IPlugin_descriptor: Describes a plugin. More...
class mi::neuraylib::IRendering_configuration: This interface is used to query and change the rendering configuration. More...
class mi::neuraylib::IScheduling_configuration: This interface is used to query and change the scheduling configuration. More...
class mi::neuraylib::ITimer: This is an abstract interface class for a timer. More...
class mi::neuraylib::ITimer_class_factory: The registration of a timer class requires a factory which constructs an instance during deserialization. More...
class mi::neuraylib::ITimer_configuration: This class is used to start and stop timers. More...
class mi::neuraylib::Timer_class_factory< T>: This mixin class provides a default implementation of the mi::neuraylib::ITimer_class_factory interface. More...

Enumerations

enum mi::neuraylib::Log_prefix{ LOG_PREFIX_TIME = 0x0001, LOG_PREFIX_TIME_SECONDS = 0x0002, LOG_PREFIX_HOST_THREAD = 0x0004, LOG_PREFIX_HOST_NAME = 0x0008, LOG_PREFIX_MODULE = 0x0010, LOG_PREFIX_CATEGORY = 0x0020, LOG_PREFIX_SEVERITY = 0x0040, LOG_PREFIX_FORCE_32_BIT = 0xffffffffU}: Components of the log message prefix.

Enums

enum mi::neuraylib::Log_prefix

Components of the log message prefix.

Enumerator:

LOG_PREFIX_TIME = 0x0001: human-readable timestamp
LOG_PREFIX_TIME_SECONDS = 0x0002: timestamp in seconds with milliseconds resolution
LOG_PREFIX_HOST_THREAD = 0x0004: ID of the host and thread that generate the log message.
LOG_PREFIX_HOST_NAME = 0x0008: name of the host that generates the log message
LOG_PREFIX_MODULE = 0x0010: module that generates the log message
LOG_PREFIX_CATEGORY = 0x0020: category of the log message
LOG_PREFIX_SEVERITY = 0x0040: severity of the log message
LOG_PREFIX_FORCE_32_BIT = 0xffffffffU

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