Abstract: A machine learning model is trained from characteristics of code changes and characteristics of tests to generate an output indicative of a likely test result of running a corresponding test on a code change. One or more machine learning models may be trained for a specific code repository and based on developer feedback. When a code change is generated by a developer to code in a code repository, a machine learning model is selected based on the repository and characteristics or features of the code change are extracted and input to the machine learning model. The machine learning model generates a model output indicative of the likely test results of running each of a plurality of different tests on the code change. The model output indicates how likely it is that each of the plurality of different tests will fail. Based on the model output, a test selection system selects a subset of the plurality of different tests that should be run against the code changes.

Abstract: In various example embodiments, a system and method for providing a visual example-based user interface for adjusting images is provided. In example embodiments, a new image to be adjusted is received. A plurality of basis styles is generated by applying adjustment parameters to the new image. Each of the plurality of basis styles comprises an adjusted version of the new image with an adjustment of at least one image control. A user interface is provided that positions a version of the new image in a center portion and positions the plurality of basis styles on the user interface based on the adjustment parameters applied to the new image. A control mechanism is provided over the version of the new image whereby movement of the control mechanism to a new position on the user interface causes the version of the new image to adjust accordingly.

Abstract: In various example embodiments, a system and method for providing a visual example-based user interface for adjusting images is provided. In example embodiments, a new image to be adjusted is received. A plurality of basis styles is generated by applying adjustment parameters to the new image. Each of the plurality of basis styles comprises an adjusted version of the new image with an adjustment of at least one image control. A user interface is provided that positions a version of the new image in a center portion and positions the plurality of basis styles on the user interface based on the adjustment parameters applied to the new image. A control mechanism is provided over the version of the new image whereby movement of the control mechanism to a new position on the user interface causes the version of the new image to adjust accordingly.

Abstract: In various example embodiments, a system and method for providing a visual example-based user interface for adjusting images is provided. In example embodiments, a new image to be adjusted is received. A plurality of basis styles is generated by applying adjustment parameters to the new image. Each of the plurality of basis styles comprises an adjusted version of the new image with an adjustment of at least one image control. A user interface is provided that positions a version of the new image in a center portion and positions the plurality of basis styles on the user interface based on the adjustment parameters applied to the new image. A control mechanism is provided over the version of the new image whereby movement of the control mechanism to a new position on the user interface causes the version of the new image to adjust accordingly.

Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.

Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.

Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.

Abstract: A tenant provisioning system. The system allows users to request creation of test tenants for a multi-tenant service targeting specific infrastructure resources and automated bulk creation of test tenants. Test tenants created by the system are clearly identified as test tenants to prevent test tenants from being misreported by business intelligence systems providing information about the multi-tenant service. Automated provisioning of test tenants on a regular schedule provides a mechanism for monitoring the operation of the multi-tenant service. Further, the ability to provision a test tenant in specific infrastructure resources allows comprehensive operational testing of most or all infrastructure resources, as well as targeted testing of individual infrastructure resources. The system may provide test tenants with an expiration allowing automatic removal of out-of-date test tenants. The system reduces the costs and errors inherent with the manual creation of test tenants.

Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.

Abstract: In various example embodiments, a system and method for providing a visual example-based user interface for adjusting images is provided. In example embodiments, a new image to be adjusted is received. A plurality of basis styles is generated by applying adjustment parameters to the new image. Each of the plurality of basis styles comprises an adjusted version of the new image with an adjustment of at least one image control. A user interface is provided that positions a version of the new image in a center portion and positions the plurality of basis styles on the user interface based on the adjustment parameters applied to the new image. A control mechanism is provided over the version of the new image whereby movement of the control mechanism to a new position on the user interface causes the version of the new image to adjust accordingly.

Abstract: A method and apparatus for managing a network access device is provided. Embedded within the access device are three distinct software layers. The first layer is a combined text-interface generator and Hypertext Transport Protocol client. The second layer is a combined Hypertext Transport Protocol server and Simple Network Management Protocol manager. The third layer is a Simple Network Management Protocol agent that has direct access to the configuration data of the access device. A user can manage the device through the embedded text-interface generator, by using an external HTTP client to communicate with the embedded HTTP server, or by using an external SNMP manager to communicate with the embedded SNMP agent. Techniques are disclosed for embedding SNMP information in messages passed between HTTP clients and servers.

Abstract: A method and apparatus for managing a network access device is provided. Embedded within the access device are three distinct software layers. The first layer is a combined text-interface generator and Hypertext Transport Protocol client. The second layer is a combined Hypertext Transport Protocol server and Simple Network Management Protocol manager. The third layer is a Simple Network Management Protocol agent that has direct access to the configuration data of the access device. A user can manage the device through the embedded text-interface generator, by using an external HTTP client to communicate with the embedded HTTP server, or by using an external SNMP manager to communicate with the embedded SNMP agent. Techniques are disclosed for embedding SNMP information in messages passed between HTTP clients and servers.

Abstract: A method and apparatus for managing a network access device is provided. Embedded within the access device are three distinct software layers. The first layer is a combined text-interface generator and Hypertext Transport Protocol client. The second layer is a combined Hypertext Transport Protocol server and Simple Network Management Protocol manager. The third layer is a Simple Network Management Protocol agent that has direct access to the configuration data of the access device. A user can manage the device through the embedded text-interface generator, by using an external HTTP client to communicate with the embedded HTTP server, or by using an external SNMP manager to communicate with the embedded SNMP agent. Techniques are disclosed for embedding SNMP information in messages passed between HTTP clients and servers.

Abstract: A method and apparatus for managing a network access device is provided. Embedded within the access device are three distinct software layers. The first layer is a combined text-interface generator and Hypertext Transport Protocol client. The second layer is a combined Hypertext Transport Protocol server and Simple Network Management Protocol manager. The third layer is a Simple Network Management Protocol agent that has direct access to the configuration data of the access device. A user can manage the device through the embedded text-interface generator, by using an external HTTP client to communicate with the embedded HTTP server, or by using an external SNMP manager to communicate with the embedded SNMP agent. Techniques are disclosed for embedding SNMP information in messages passed between HTTP clients and servers.

Abstract: A method of establishing and maintaining a consistent configuration state of a first processor, running on a first version of operating software, and a second processor, running on a second version of operating software, is described. The method involves determining a current configuration state of the first processor, where the configuration state comprises a list of configuration commands. The method also involves performing a syntax check for each command in the current configuration, using the second processor and the second version of operating software, with the syntax check resulting in a pass or a fail result. For every command which results in a fail result, an entry is added to a mismatched configuration list (MCL). Embodiments of this invention can be utilized to keep the configurations consistent during an upgrade or downgrade of the operating software.

Abstract: A method and apparatus for managing a network access device is provided. Embedded within the access device are three distinct software layers. The first layer is a combined text-interface generator and Hypertext Transport Protocol client. The second layer is a combined Hypertext Transport Protocol server and Simple Network Management Protocol manager. The third layer is a Simple Network Management Protocol agent that has direct access to the configuration data of the access device. A user can manage the device through the embedded text-interface generator, by using an external HTTP client to communicate with the embedded HTTP server, or by using an external SNMP manager to communicate with the embedded SNMP agent. Techniques are disclosed for embedding SNMP information in messages passed between HTTP clients and servers.

Abstract: A method and apparatus for managing a network access device is provided. Embedded within the access device are three distinct software layers. The first layer is a combined text-interface generator and Hypertext Transport Protocol client. The second layer is a combined Hypertext Transport Protocol server and Simpler Network Management Protocol manager. The third layer is a Simple Network Management Protocol agent that has direct access to the configuration data of the access device. A user can manage the device through the embedded text-interface generator, by using an external HTTP client to communicate with the embedded HTTP server, or by using an external SNMP manager to communicate with the embedded SNMP agent. Techniques are disclosed for embedding SNMP information in messages passed between HTTP clients and servers.

Abstract: A frame relay communications network consists of a number of interconnected nodes. The network nodes include segmentation and reassembly device for fragmenting variable length frames of user data into packets of a predefined length. A preferred embodiment uses ATM AAL5 segmentation and reassembly to construct cells. Header and trailer information is added to each of the cells for transport across the frame relay network.